literature review market share

Global Literature Review Software Market Report By Type (Cloud-Based, On-Premise), By Application (Large Enterprises, Small and Medium-sized Enterprises (SMEs) And By Regions - Industry Trends, Size, Share, Growth, Estimation and Forecast, 2023-2032

The global demand for Literature Review Software Market is presumed to reach the valuation of nearly USD XX MN by 2030 from USD XX MN in 2022 with a CAGR of XX% during the period of 2023-2030.   A literature review talks about the published material in a specific subject area, and at times within a certain time period. It can be just a humble synopsis of the sources, but typically a literature review includes structural patterns and blends both synopsis and synthesis. A synopsis is an outline of the important information drawn from the source; however, synthesis is a re-establishment of the same information. It may offer a newly analyzed version of old material or blend new with old analysis. A literature review software places each work in the context of its role and impact to have an insight into the research problem being examined in an automated way. The key focus of a literature review software is to outline, decode and synthesize the assertions and inklings of others without reinforcing new contributions in an automated way.    Market Dynamics   The ever-changing industry trends generate favorable prospects as well as complications with it. Literature Review Software helps to decode and analyze current industry trends and helps businesses to stay ahead of competitors and take the right business decisions at the right time. With the rise in industrialization and scientific research, the literature review software market is expected to flourish.   The report covers Porter's Five Forces Model, Market Attractiveness Analysis and Value Chain analysis. These tools help to get a clear picture of the industry's structure and evaluate the competition attractiveness at a global level.   Additionally, these tools also give inclusive assessment of each application/product segment in the global market of literature review software.   Market Segmentation   The entire literature review software market has been sub-categorized into type, application. The report provides an analysis of these subsets with respect to the geographical segmentation. This research study will keep marketer informed and helps to identify the target demographics for a product or service.   By Type

• Cloud-Based

  By Application

• Large Enterprises
• Small and Medium-sized Enterprises (SMEs)

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• How to Write a Literature Review | Guide, Examples, & Templates

How to Write a Literature Review | Guide, Examples, & Templates

Published on January 2, 2023 by Shona McCombes . Revised on September 11, 2023.

What is a literature review? A literature review is a survey of scholarly sources on a specific topic. It provides an overview of current knowledge, allowing you to identify relevant theories, methods, and gaps in the existing research that you can later apply to your paper, thesis, or dissertation topic .

There are five key steps to writing a literature review:

• Search for relevant literature
• Evaluate sources
• Identify themes, debates, and gaps
• Outline the structure
• Write your literature review

A good literature review doesn’t just summarize sources—it analyzes, synthesizes , and critically evaluates to give a clear picture of the state of knowledge on the subject.

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Table of contents

What is the purpose of a literature review, examples of literature reviews, step 1 – search for relevant literature, step 2 – evaluate and select sources, step 3 – identify themes, debates, and gaps, step 4 – outline your literature review’s structure, step 5 – write your literature review, free lecture slides, other interesting articles, frequently asked questions, introduction.

• Quick Run-through
• Step 1 & 2

When you write a thesis , dissertation , or research paper , you will likely have to conduct a literature review to situate your research within existing knowledge. The literature review gives you a chance to:

• Demonstrate your familiarity with the topic and its scholarly context
• Develop a theoretical framework and methodology for your research
• Position your work in relation to other researchers and theorists
• Show how your research addresses a gap or contributes to a debate
• Evaluate the current state of research and demonstrate your knowledge of the scholarly debates around your topic.

Writing literature reviews is a particularly important skill if you want to apply for graduate school or pursue a career in research. We’ve written a step-by-step guide that you can follow below.

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See an example

Writing literature reviews can be quite challenging! A good starting point could be to look at some examples, depending on what kind of literature review you’d like to write.

• Example literature review #1: “Why Do People Migrate? A Review of the Theoretical Literature” ( Theoretical literature review about the development of economic migration theory from the 1950s to today.)
• Example literature review #2: “Literature review as a research methodology: An overview and guidelines” ( Methodological literature review about interdisciplinary knowledge acquisition and production.)
• Example literature review #3: “The Use of Technology in English Language Learning: A Literature Review” ( Thematic literature review about the effects of technology on language acquisition.)
• Example literature review #4: “Learners’ Listening Comprehension Difficulties in English Language Learning: A Literature Review” ( Chronological literature review about how the concept of listening skills has changed over time.)

You can also check out our templates with literature review examples and sample outlines at the links below.

Download Word doc Download Google doc

Before you begin searching for literature, you need a clearly defined topic .

If you are writing the literature review section of a dissertation or research paper, you will search for literature related to your research problem and questions .

Make a list of keywords

Start by creating a list of keywords related to your research question. Include each of the key concepts or variables you’re interested in, and list any synonyms and related terms. You can add to this list as you discover new keywords in the process of your literature search.

• Social media, Facebook, Instagram, Twitter, Snapchat, TikTok
• Body image, self-perception, self-esteem, mental health
• Generation Z, teenagers, adolescents, youth

Search for relevant sources

Use your keywords to begin searching for sources. Some useful databases to search for journals and articles include:

• Your university’s library catalogue
• Google Scholar
• Project Muse (humanities and social sciences)
• Medline (life sciences and biomedicine)
• EconLit (economics)
• Inspec (physics, engineering and computer science)

You can also use boolean operators to help narrow down your search.

Make sure to read the abstract to find out whether an article is relevant to your question. When you find a useful book or article, you can check the bibliography to find other relevant sources.

You likely won’t be able to read absolutely everything that has been written on your topic, so it will be necessary to evaluate which sources are most relevant to your research question.

For each publication, ask yourself:

• What question or problem is the author addressing?
• What are the key concepts and how are they defined?
• What are the key theories, models, and methods?
• Does the research use established frameworks or take an innovative approach?
• What are the results and conclusions of the study?
• How does the publication relate to other literature in the field? Does it confirm, add to, or challenge established knowledge?
• What are the strengths and weaknesses of the research?

Make sure the sources you use are credible , and make sure you read any landmark studies and major theories in your field of research.

You can use our template to summarize and evaluate sources you’re thinking about using. Click on either button below to download.

Take notes and cite your sources

As you read, you should also begin the writing process. Take notes that you can later incorporate into the text of your literature review.

It is important to keep track of your sources with citations to avoid plagiarism . It can be helpful to make an annotated bibliography , where you compile full citation information and write a paragraph of summary and analysis for each source. This helps you remember what you read and saves time later in the process.

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To begin organizing your literature review’s argument and structure, be sure you understand the connections and relationships between the sources you’ve read. Based on your reading and notes, you can look for:

• Trends and patterns (in theory, method or results): do certain approaches become more or less popular over time?
• Themes: what questions or concepts recur across the literature?
• Debates, conflicts and contradictions: where do sources disagree?
• Pivotal publications: are there any influential theories or studies that changed the direction of the field?
• Gaps: what is missing from the literature? Are there weaknesses that need to be addressed?

This step will help you work out the structure of your literature review and (if applicable) show how your own research will contribute to existing knowledge.

• Most research has focused on young women.
• There is an increasing interest in the visual aspects of social media.
• But there is still a lack of robust research on highly visual platforms like Instagram and Snapchat—this is a gap that you could address in your own research.

There are various approaches to organizing the body of a literature review. Depending on the length of your literature review, you can combine several of these strategies (for example, your overall structure might be thematic, but each theme is discussed chronologically).

Chronological

The simplest approach is to trace the development of the topic over time. However, if you choose this strategy, be careful to avoid simply listing and summarizing sources in order.

Try to analyze patterns, turning points and key debates that have shaped the direction of the field. Give your interpretation of how and why certain developments occurred.

If you have found some recurring central themes, you can organize your literature review into subsections that address different aspects of the topic.

For example, if you are reviewing literature about inequalities in migrant health outcomes, key themes might include healthcare policy, language barriers, cultural attitudes, legal status, and economic access.

Methodological

If you draw your sources from different disciplines or fields that use a variety of research methods , you might want to compare the results and conclusions that emerge from different approaches. For example:

• Look at what results have emerged in qualitative versus quantitative research
• Discuss how the topic has been approached by empirical versus theoretical scholarship
• Divide the literature into sociological, historical, and cultural sources

Theoretical

A literature review is often the foundation for a theoretical framework . You can use it to discuss various theories, models, and definitions of key concepts.

You might argue for the relevance of a specific theoretical approach, or combine various theoretical concepts to create a framework for your research.

Like any other academic text , your literature review should have an introduction , a main body, and a conclusion . What you include in each depends on the objective of your literature review.

The introduction should clearly establish the focus and purpose of the literature review.

Depending on the length of your literature review, you might want to divide the body into subsections. You can use a subheading for each theme, time period, or methodological approach.

As you write, you can follow these tips:

• Summarize and synthesize: give an overview of the main points of each source and combine them into a coherent whole
• Analyze and interpret: don’t just paraphrase other researchers — add your own interpretations where possible, discussing the significance of findings in relation to the literature as a whole
• Critically evaluate: mention the strengths and weaknesses of your sources
• Write in well-structured paragraphs: use transition words and topic sentences to draw connections, comparisons and contrasts

In the conclusion, you should summarize the key findings you have taken from the literature and emphasize their significance.

When you’ve finished writing and revising your literature review, don’t forget to proofread thoroughly before submitting. Not a language expert? Check out Scribbr’s professional proofreading services !

This article has been adapted into lecture slides that you can use to teach your students about writing a literature review.

Scribbr slides are free to use, customize, and distribute for educational purposes.

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If you want to know more about the research process , methodology , research bias , or statistics , make sure to check out some of our other articles with explanations and examples.

• Sampling methods
• Simple random sampling
• Stratified sampling
• Cluster sampling
• Likert scales
• Reproducibility

 Statistics

• Null hypothesis
• Statistical power
• Probability distribution
• Effect size
• Poisson distribution

Research bias

• Optimism bias
• Cognitive bias
• Implicit bias
• Hawthorne effect
• Anchoring bias
• Explicit bias

A literature review is a survey of scholarly sources (such as books, journal articles, and theses) related to a specific topic or research question .

It is often written as part of a thesis, dissertation , or research paper , in order to situate your work in relation to existing knowledge.

There are several reasons to conduct a literature review at the beginning of a research project:

• To familiarize yourself with the current state of knowledge on your topic
• To ensure that you’re not just repeating what others have already done
• To identify gaps in knowledge and unresolved problems that your research can address
• To develop your theoretical framework and methodology
• To provide an overview of the key findings and debates on the topic

Writing the literature review shows your reader how your work relates to existing research and what new insights it will contribute.

The literature review usually comes near the beginning of your thesis or dissertation . After the introduction , it grounds your research in a scholarly field and leads directly to your theoretical framework or methodology .

A literature review is a survey of credible sources on a topic, often used in dissertations , theses, and research papers . Literature reviews give an overview of knowledge on a subject, helping you identify relevant theories and methods, as well as gaps in existing research. Literature reviews are set up similarly to other  academic texts , with an introduction , a main body, and a conclusion .

An  annotated bibliography is a list of  source references that has a short description (called an annotation ) for each of the sources. It is often assigned as part of the research process for a  paper .  

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McCombes, S. (2023, September 11). How to Write a Literature Review | Guide, Examples, & Templates. Scribbr. Retrieved April 15, 2024, from https://www.scribbr.com/dissertation/literature-review/

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How To Write A Literature Review - A Complete Guide

Table of Contents

A literature review is much more than just another section in your research paper. It forms the very foundation of your research. It is a formal piece of writing where you analyze the existing theoretical framework, principles, and assumptions and use that as a base to shape your approach to the research question.

Curating and drafting a solid literature review section not only lends more credibility to your research paper but also makes your research tighter and better focused. But, writing literature reviews is a difficult task. It requires extensive reading, plus you have to consider market trends and technological and political changes, which tend to change in the blink of an eye.

Now streamline your literature review process with the help of SciSpace Copilot. With this AI research assistant, you can efficiently synthesize and analyze a vast amount of information, identify key themes and trends, and uncover gaps in the existing research. Get real-time explanations, summaries, and answers to your questions for the paper you're reviewing, making navigating and understanding the complex literature landscape easier.

In this comprehensive guide, we will explore everything from the definition of a literature review, its appropriate length, various types of literature reviews, and how to write one.

What is a literature review?

A literature review is a collation of survey, research, critical evaluation, and assessment of the existing literature in a preferred domain.

Eminent researcher and academic Arlene Fink, in her book Conducting Research Literature Reviews , defines it as the following:

“A literature review surveys books, scholarly articles, and any other sources relevant to a particular issue, area of research, or theory, and by so doing, provides a description, summary, and critical evaluation of these works in relation to the research problem being investigated.

Literature reviews are designed to provide an overview of sources you have explored while researching a particular topic, and to demonstrate to your readers how your research fits within a larger field of study.”

Simply put, a literature review can be defined as a critical discussion of relevant pre-existing research around your research question and carving out a definitive place for your study in the existing body of knowledge. Literature reviews can be presented in multiple ways: a section of an article, the whole research paper itself, or a chapter of your thesis.

A literature review does function as a summary of sources, but it also allows you to analyze further, interpret, and examine the stated theories, methods, viewpoints, and, of course, the gaps in the existing content.

As an author, you can discuss and interpret the research question and its various aspects and debate your adopted methods to support the claim.

What is the purpose of a literature review?

A literature review is meant to help your readers understand the relevance of your research question and where it fits within the existing body of knowledge. As a researcher, you should use it to set the context, build your argument, and establish the need for your study.

What is the importance of a literature review?

The literature review is a critical part of research papers because it helps you:

• Gain an in-depth understanding of your research question and the surrounding area
• Convey that you have a thorough understanding of your research area and are up-to-date with the latest changes and advancements
• Establish how your research is connected or builds on the existing body of knowledge and how it could contribute to further research
• Elaborate on the validity and suitability of your theoretical framework and research methodology
• Identify and highlight gaps and shortcomings in the existing body of knowledge and how things need to change
• Convey to readers how your study is different or how it contributes to the research area

How long should a literature review be?

Ideally, the literature review should take up 15%-40% of the total length of your manuscript. So, if you have a 10,000-word research paper, the minimum word count could be 1500.

Your literature review format depends heavily on the kind of manuscript you are writing — an entire chapter in case of doctoral theses, a part of the introductory section in a research article, to a full-fledged review article that examines the previously published research on a topic.

Another determining factor is the type of research you are doing. The literature review section tends to be longer for secondary research projects than primary research projects.

What are the different types of literature reviews?

All literature reviews are not the same. There are a variety of possible approaches that you can take. It all depends on the type of research you are pursuing.

Here are the different types of literature reviews:

Argumentative review

It is called an argumentative review when you carefully present literature that only supports or counters a specific argument or premise to establish a viewpoint.

Integrative review

It is a type of literature review focused on building a comprehensive understanding of a topic by combining available theoretical frameworks and empirical evidence.

Methodological review

This approach delves into the ''how'' and the ''what" of the research question —  you cannot look at the outcome in isolation; you should also review the methodology used.

Systematic review

This form consists of an overview of existing evidence pertinent to a clearly formulated research question, which uses pre-specified and standardized methods to identify and critically appraise relevant research and collect, report, and analyze data from the studies included in the review.

Meta-analysis review

Meta-analysis uses statistical methods to summarize the results of independent studies. By combining information from all relevant studies, meta-analysis can provide more precise estimates of the effects than those derived from the individual studies included within a review.

Historical review

Historical literature reviews focus on examining research throughout a period, often starting with the first time an issue, concept, theory, or phenomenon emerged in the literature, then tracing its evolution within the scholarship of a discipline. The purpose is to place research in a historical context to show familiarity with state-of-the-art developments and identify future research's likely directions.

Theoretical Review

This form aims to examine the corpus of theory accumulated regarding an issue, concept, theory, and phenomenon. The theoretical literature review helps to establish what theories exist, the relationships between them, the degree the existing approaches have been investigated, and to develop new hypotheses to be tested.

Scoping Review

The Scoping Review is often used at the beginning of an article, dissertation, or research proposal. It is conducted before the research to highlight gaps in the existing body of knowledge and explains why the project should be greenlit.

State-of-the-Art Review

The State-of-the-Art review is conducted periodically, focusing on the most recent research. It describes what is currently known, understood, or agreed upon regarding the research topic and highlights where there are still disagreements.

Can you use the first person in a literature review?

When writing literature reviews, you should avoid the usage of first-person pronouns. It means that instead of "I argue that" or "we argue that," the appropriate expression would be "this research paper argues that."

Do you need an abstract for a literature review?

Ideally, yes. It is always good to have a condensed summary that is self-contained and independent of the rest of your review. As for how to draft one, you can follow the same fundamental idea when preparing an abstract for a literature review. It should also include:

• The research topic and your motivation behind selecting it
• A one-sentence thesis statement
• An explanation of the kinds of literature featured in the review
• Summary of what you've learned
• Conclusions you drew from the literature you reviewed
• Potential implications and future scope for research

Here's an example of the abstract of a literature review

Is a literature review written in the past tense?

Yes, the literature review should ideally be written in the past tense. You should not use the present or future tense when writing one. The exceptions are when you have statements describing events that happened earlier than the literature you are reviewing or events that are currently occurring; then, you can use the past perfect or present perfect tenses.

How many sources for a literature review?

There are multiple approaches to deciding how many sources to include in a literature review section. The first approach would be to look level you are at as a researcher. For instance, a doctoral thesis might need 60+ sources. In contrast, you might only need to refer to 5-15 sources at the undergraduate level.

The second approach is based on the kind of literature review you are doing — whether it is merely a chapter of your paper or if it is a self-contained paper in itself. When it is just a chapter, sources should equal the total number of pages in your article's body. In the second scenario, you need at least three times as many sources as there are pages in your work.

Quick tips on how to write a literature review

To know how to write a literature review, you must clearly understand its impact and role in establishing your work as substantive research material.

You need to follow the below-mentioned steps, to write a literature review:

• Outline the purpose behind the literature review
• Search relevant literature
• Examine and assess the relevant resources
• Discover connections by drawing deep insights from the resources
• Structure planning to write a good literature review

1. Outline and identify the purpose of  a literature review

As a first step on how to write a literature review, you must know what the research question or topic is and what shape you want your literature review to take. Ensure you understand the research topic inside out, or else seek clarifications. You must be able to the answer below questions before you start:

• How many sources do I need to include?
• What kind of sources should I analyze?
• How much should I critically evaluate each source?
• Should I summarize, synthesize or offer a critique of the sources?
• Do I need to include any background information or definitions?

Additionally, you should know that the narrower your research topic is, the swifter it will be for you to restrict the number of sources to be analyzed.

2. Search relevant literature

Dig deeper into search engines to discover what has already been published around your chosen topic. Make sure you thoroughly go through appropriate reference sources like books, reports, journal articles, government docs, and web-based resources.

You must prepare a list of keywords and their different variations. You can start your search from any library’s catalog, provided you are an active member of that institution. The exact keywords can be extended to widen your research over other databases and academic search engines like:

• Google Scholar
• Microsoft Academic
• Science.gov

Besides, it is not advisable to go through every resource word by word. Alternatively, what you can do is you can start by reading the abstract and then decide whether that source is relevant to your research or not.

Additionally, you must spend surplus time assessing the quality and relevance of resources. It would help if you tried preparing a list of citations to ensure that there lies no repetition of authors, publications, or articles in the literature review.

3. Examine and assess the sources

It is nearly impossible for you to go through every detail in the research article. So rather than trying to fetch every detail, you have to analyze and decide which research sources resemble closest and appear relevant to your chosen domain.

While analyzing the sources, you should look to find out answers to questions like:

• What question or problem has the author been describing and debating?
• What is the definition of critical aspects?
• How well the theories, approach, and methodology have been explained?
• Whether the research theory used some conventional or new innovative approach?
• How relevant are the key findings of the work?
• In what ways does it relate to other sources on the same topic?
• What challenges does this research paper pose to the existing theory
• What are the possible contributions or benefits it adds to the subject domain?

Be always mindful that you refer only to credible and authentic resources. It would be best if you always take references from different publications to validate your theory.

Always keep track of important information or data you can present in your literature review right from the beginning. It will help steer your path from any threats of plagiarism and also make it easier to curate an annotated bibliography or reference section.

4. Discover connections

At this stage, you must start deciding on the argument and structure of your literature review. To accomplish this, you must discover and identify the relations and connections between various resources while drafting your abstract.

A few aspects that you should be aware of while writing a literature review include:

• Rise to prominence: Theories and methods that have gained reputation and supporters over time.
• Constant scrutiny: Concepts or theories that repeatedly went under examination.
• Contradictions and conflicts: Theories, both the supporting and the contradictory ones, for the research topic.
• Knowledge gaps: What exactly does it fail to address, and how to bridge them with further research?
• Influential resources: Significant research projects available that have been upheld as milestones or perhaps, something that can modify the current trends

Once you join the dots between various past research works, it will be easier for you to draw a conclusion and identify your contribution to the existing knowledge base.

5. Structure planning to write a good literature review

There exist different ways towards planning and executing the structure of a literature review. The format of a literature review varies and depends upon the length of the research.

Like any other research paper, the literature review format must contain three sections: introduction, body, and conclusion. The goals and objectives of the research question determine what goes inside these three sections.

Nevertheless, a good literature review can be structured according to the chronological, thematic, methodological, or theoretical framework approach.

Literature review samples

1. Standalone

2. As a section of a research paper

How SciSpace Discover makes literature review a breeze?

SciSpace Discover is a one-stop solution to do an effective literature search and get barrier-free access to scientific knowledge. It is an excellent repository where you can find millions of only peer-reviewed articles and full-text PDF files. Here’s more on how you can use it:

Find the right information

Find what you want quickly and easily with comprehensive search filters that let you narrow down papers according to PDF availability, year of publishing, document type, and affiliated institution. Moreover, you can sort the results based on the publishing date, citation count, and relevance.

Assess credibility of papers quickly

When doing the literature review, it is critical to establish the quality of your sources. They form the foundation of your research. SciSpace Discover helps you assess the quality of a source by providing an overview of its references, citations, and performance metrics.

Get the complete picture in no time

SciSpace Discover’s personalized suggestion engine helps you stay on course and get the complete picture of the topic from one place. Every time you visit an article page, it provides you links to related papers. Besides that, it helps you understand what’s trending, who are the top authors, and who are the leading publishers on a topic.

Make referring sources super easy

To ensure you don't lose track of your sources, you must start noting down your references when doing the literature review. SciSpace Discover makes this step effortless. Click the 'cite' button on an article page, and you will receive preloaded citation text in multiple styles — all you've to do is copy-paste it into your manuscript.

Final tips on how to write a literature review

A massive chunk of time and effort is required to write a good literature review. But, if you go about it systematically, you'll be able to save a ton of time and build a solid foundation for your research.

We hope this guide has helped you answer several key questions you have about writing literature reviews.

Would you like to explore SciSpace Discover and kick off your literature search right away? You can get started here .

Frequently Asked Questions (FAQs)

1. how to start a literature review.

• What questions do you want to answer?

• What sources do you need to answer these questions?

• What information do these sources contain?

• How can you use this information to answer your questions?

2. What to include in a literature review?

• A brief background of the problem or issue

• What has previously been done to address the problem or issue

• A description of what you will do in your project

• How this study will contribute to research on the subject

3. Why literature review is important?

The literature review is an important part of any research project because it allows the writer to look at previous studies on a topic and determine existing gaps in the literature, as well as what has already been done. It will also help them to choose the most appropriate method for their own study.

4. How to cite a literature review in APA format?

To cite a literature review in APA style, you need to provide the author's name, the title of the article, and the year of publication. For example: Patel, A. B., & Stokes, G. S. (2012). The relationship between personality and intelligence: A meta-analysis of longitudinal research. Personality and Individual Differences, 53(1), 16-21

5. What are the components of a literature review?

• A brief introduction to the topic, including its background and context. The introduction should also include a rationale for why the study is being conducted and what it will accomplish.

• A description of the methodologies used in the study. This can include information about data collection methods, sample size, and statistical analyses.

• A presentation of the findings in an organized format that helps readers follow along with the author's conclusions.

6. What are common errors in writing literature review?

• Not spending enough time to critically evaluate the relevance of resources, observations and conclusions.

• Totally relying on secondary data while ignoring primary data.

• Letting your personal bias seep into your interpretation of existing literature.

• No detailed explanation of the procedure to discover and identify an appropriate literature review.

7. What are the 5 C's of writing literature review?

• Cite - the sources you utilized and referenced in your research.

• Compare - existing arguments, hypotheses, methodologies, and conclusions found in the knowledge base.

• Contrast - the arguments, topics, methodologies, approaches, and disputes that may be found in the literature.

• Critique - the literature and describe the ideas and opinions you find more convincing and why.

• Connect - the various studies you reviewed in your research.

8. How many sources should a literature review have?

When it is just a chapter, sources should equal the total number of pages in your article's body. if it is a self-contained paper in itself, you need at least three times as many sources as there are pages in your work.

9. Can literature review have diagrams?

• To represent an abstract idea or concept

• To explain the steps of a process or procedure

• To help readers understand the relationships between different concepts

10. How old should sources be in a literature review?

Sources for a literature review should be as current as possible or not older than ten years. The only exception to this rule is if you are reviewing a historical topic and need to use older sources.

11. What are the types of literature review?

• Argumentative review

• Integrative review

• Methodological review

• Systematic review

• Meta-analysis review

• Historical review

• Theoretical review

• Scoping review

• State-of-the-Art review

12. Is a literature review mandatory?

Yes. Literature review is a mandatory part of any research project. It is a critical step in the process that allows you to establish the scope of your research, and provide a background for the rest of your work.

But before you go,

• Six Online Tools for Easy Literature Review
• Evaluating literature review: systematic vs. scoping reviews
• Systematic Approaches to a Successful Literature Review
• Writing Integrative Literature Reviews: Guidelines and Examples

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Competitive pricing on online markets: a literature review

• Research Article
• Open access
• Published: 14 June 2022
• Volume 21 , pages 596–622, ( 2022 )

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• Torsten J. Gerpott 1 &
• Jan Berends 1  

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Past reviews of studies concerning competitive pricing strategies lack a unifying approach to interdisciplinarily structure research across economics, marketing management, and operations. This academic void is especially unfortunate for online markets as they show much higher competitive dynamics compared to their offline counterparts. We review 132 articles on competitive posted goods pricing on either e-tail markets or markets in general. Our main contributions are (1) to develop an interdisciplinary framework structuring scholarly work on competitive pricing models and (2) to analyze in how far research on offline markets applies to online retail markets.

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Introduction

Setting prices relative to competitors, i.e., competitive pricing, Footnote 1 is a classical marketing problem which has been studied extensively before the emergence of e-commerce (Talluri and van Ryzin 2004 ; Vives 2001 ). Although literature on online pricing has been reviewed in the past (Ratchford 2009 ), interrelations between pricing and competition were rarely considered systematically (Li et al. 2017 ). As less than 2% of high-impact journal articles address pricing issues (Toni et al. 2017 ), pricing strategies do not receive proper research attention according to their practical relevance. This research gap holds even more for competitive pricing. In the past, the monopolistic assumption that demand for homogeneous goods mostly depends on prices set by a single firm may have been a viable simplification since price comparisons were difficult. Today, consumer search costs Footnote 2 shrink as the prices of most goods can be compared on relatively transparent online markets. Therefore, demand is increasingly influenced by prices of competitors which therefore should not be ignored (Lin and Sibdari 2009 ).

In the early 1990s, few people anticipated that business-to-consumer (B2C) online goods retail markets Footnote 3 would develop from a dubious alternative to conventional “brick-and-mortar” retail stores to an omnipresent distribution channel for all kinds of products in less than two decades (Balasubramanian 1998 ; Boardman and McCormick 2018 ). In 2000, e-commerce accounted for a mere 1% of overall retail sales. In 2025, e-retail sales are projected to account for nearly 25% of global retail sales (Lebow 2019 ). Traditional offline channels are nowadays typically complemented by online technologies (Gao and Su 2018 ). With digitization of various societal sectors in general and the COVID-19 pandemic in particular, the shift toward online channels is unlikely to stop in the future. Besides direct online shops, two-thirds of e-commerce sales are sold through online marketplaces/platforms like Alibaba, Amazon or eBay (Young 2022 ). The marketplace operator acts as an intermediary (two-sided platform) who matches demand (online consumers) with supply (retailers). Whereas the retailer retains control over product assortment and prices, he has to pay a commission to the marketplace operator (Hagiu 2007 ). However, these intermediaries often act as sellers themselves, thereby posing direct competition to retailers who have to decide between direct or marketplace channels (Ryan et al. 2012 ).

Online consumer markets fundamentally differ from offline settings (Chintagunta et al. 2012 ; Lee and Tan 2003 ; Scarpi et al. 2014 ; Smith and Brynjolfsson 2001 ). Factors which make competition even more prevalent for online than for offline markets are summarized in Table 1 .

To date, a number of scholarly articles reviews various aspects of pricing under competition or online pricing (Boer 2015a ; Chen and Chen 2015 ; Cheng 2017 ; Kopalle et al. 2009 ; Ratchford 2009 ; Vives 2001 ). Vives ( 2001 ) provides an overview of the history of pricing theory and its evolution from the early work of Bertrand ( 1883 ) who studied a duopoly with unconstrained capacity and identical products to Dudey ( 1992 ) who set the foundation for today’s dynamic pricing Footnote 4 research with constrained capacities and a finite sales horizon. Ratchford ( 2009 ) reviews the influence of online markets on pricing strategies. Although he depicts factors shaping the competitive environment of online markets and compares online versus offline channels, he does not include competitive strategies specifically. This also holds for review papers on dynamic pricing which treat competition rather novercally (Boer 2015a ; Gönsch et al. 2009 ). With emphasis on mobility barriers, multimarket contact and mutual forbearance, Cheng ( 2017 ) studies competition mechanisms across strategic groups. Kopalle et al. ( 2009 ) discuss competitive effects in retail focusing on different aspects such as manufacturer interaction and cross-channel competition. To the best of our knowledge, Chen and Chen ( 2015 ) are the only scholars who review existing competitive pricing research by classifying model characteristics along product uniqueness (identical vs. differentiated), type of customer (myopic vs. strategic), pricing policy (contingent vs. preannounced) and number of competitors (duopoly vs. oligopoly). However, competition is only one of three pricing problems they analyze forcing them to reduce scope and depth and to exclude online peculiarities. In addition, significant competitive pricing contributions were published since 2015 (chapter 2.2). Overall, given the limitations of previous reviews of the pricing literature makes revisiting the current state of research a worthwhile undertaking.

Most often, competitive pricing literature uses simplifying assumptions limiting the applicability of presented models. The simplifications are required to circumvent challenges like the curse of dimensionality (Harsha et al. 2019 ; Kastius and Schlosser 2022 ; Li et al. 2017 ; Schlosser and Boissier 2018 ), endogeneity problems (Cebollada et al. 2019 ; Chu et al. 2008 ; Fisher et al. 2018 ; Villas-Boas and Winer 1999 ), uncertain information (Adida and Perakis 2010 ; e.g., Bertsimas and Perakis 2006 ; Chung et al. 2012 ; Ferreira et al. 2016 ; Keskin and Zeevi 2017 ; Shugan 2002 ) and simultaneity bias (Li et al. 2017 ). As a consequence, early work on pricing strategies with competition was restricted to theoretical discussions (Caplin and Nalebuff 1991 ; Mizuno 2003 ; Perloff and Salop 1985 ). This holds especially true in combination with other practical circumstances such as capacity constraints, time-varying demand or a finite selling horizon (Gallego and Hu 2014 ).

Armstrong and Green ( 2007 ) find empirical evidence that competitive pricing, especially for the sake of gaining market share, harms profitability. Similarly, some researchers cursorily ascribe competitor-based pricing as a sign of a poor management because it signals a lack of capabilities to set prices independently (Larson 2019 ). Revenue management researchers therefore often assume that monopoly pricing models implicitly capture the dynamic effects of competition. The so-called market response hypothesis is the key rationale to neglect the effects of competition altogether (Phillips 2021 ; Talluri and van Ryzin 2004 ). According to this reasoning, competition does not have to be considered as all relevant effects are already included in historical sales data. However, this intuitive argument can be easily rebutted as Simon ( 1979 ) already showed that price elasticities change over time. Furthermore, Cooper et al. ( 2015 ) study the validity of the market response hypothesis and conclude that this monopolistic view is rarely adequate. Monopolistic pricing models can only be applied to stable markets with little time-varying demand and little expected competitive reactions.

Detrimental outcomes of ignoring competition in pricing strategies are shown by Anufriev et al. ( 2013 ), Bischi et al. ( 2004 ), Isler and Imhof ( 2008 ), Schinkel et al. ( 2002 ), and Tuinstra (2004). The negative effects are even more harmful in fierce competitive settings such as situations with a high number of competitors or price sensitive customers (van de Geer et al. 2019 ). Empirical evidence on the influence of competition on pricing decisions is provided by Richards and Hamilton ( 2006 ) who find that retailers compete on price and variety for market share. Li et al. ( 2017 ) observe that competition-based variables explained 30.2% of hotel price variations in New York—compared to 22.3% attributed to demand-side variables. Similarly, Hinterhuber ( 2008 ) assesses competitor-based pricing as a dominant strategy from a practical perspective. Li et al. ( 2008 ) argue that because of its relevance, competition should be considered in operational revenue management and not be treated stepmotherly as an abstract strategic constraint.

Although striving to simplify pricing models is desirable, researchers should thus not simply ignore effects of competition on price setting in a non-monopolistic (online) world. Blindly pegging pricing strategies to competitors or undercutting competitors to gain market share may favor detrimental price wars and not profit-maximizing market structures. Nevertheless, no significant market player can operate isolated on online markets—decisions made always affect competing firms and consumer demand (Chiang et al. 2007 ). In such dynamic markets (chapter 3.3), competition must be considered with time-varying attributes (Schlosser et al. 2016 ).

Against this background, we suggest a conceptual framework to structure research covering competitive online pricing. It can serve scholars as a map to direct future research on the one hand and provide practicing managers with a guide to locate relevant pricing contributions on the other hand. Although the framework can be applied to a variety of markets with competitive dynamics, we concentrate our review on research covering B2C online goods retail markets. Thus, related research with a focus on auction pricing, multichannel peculiarities, behavioral pricing and multi-dimensional pricing approaches such as Everything-as-a-Service (XaaS) or bundle pricing is only assessed when findings are crucial to the competition-related discussion. In the remainder, we proceed as follows. The next chapter provides a descriptive overview of the competitive pricing literature for the subsequent discussion. Chapter 3 puts the identified literature into the perspective of online retail markets considering product and environmental characteristics. Section 4 concludes with practical implications and directions for future research.

Overview of competitive pricing research

Initially, properties of the reviewed literature are briefly summarized. Besides (a) the journal representation, (b) the historical development of online market considerations and (c) research domains, we classify research according to (d) the geographical and industry context as well as (e) research design and empirical foundation.

We identified relevant references through a semi-structured multi-pronged search strategy. Following Tranfield et al. ( 2003 ), we firstly screened the literature reviews mentioned in chapter 1 to obtain an overview of existing research streams. Second, we created a set of potentially relevant contributions by searching multiple keywords in the journal databases EBSCO, Scopus and Web of Science (c.f. Baloglu and Assante 1999 ). Footnote 5 Third, high-impact journals (see Appendix 1) in the academic fields economics, marketing management, and operations were screened. With focus on highly cited (> 10 citations in Scopus), recent (published later than 2000) research, we identified an initial sample of 996 unique papers. Fourth, we studied the abstract and skimmed the text of all papers for relevance to competitive online pricing, reducing our initial set to 174 papers. Fifth, we screened the references of the papers and identified literature cited which we not already included in our set. Sixth, especially for research areas with limited coverage in peer-reviewed journals, we uncovered gray literature through searches with Google Scholar. As a result, this study concentrates on papers published between 2000 and 2022 and only sparsely utilizes literature from the pre-internet era. The final sample of the papers with relevance to competitive B2C online pricing encompasses 132 entries. A complete list of the papers reviewed in great depth is provided in Appendix 2. 94% are peer-reviewed articles. Book chapters, conference papers and preprint/working papers each account for 2%.

Journal representation

Competitive pricing literature is widely dispersed over a broad range of journals as roughly half of the articles considered are from journals with less than three articles in our review. Notably, journals with a higher density of competitive pricing contributions are from the fields of operations, economics or are interdisciplinary. Table 2 reports the distribution of articles among the journals with the highest representation. In addition, it provides the considered articles subject to a content analysis in chapter 3.

Online pricing contributions over time

Between 1976 and the end of the second millennium, the number of papers on competitive pricing in an internet context is naturally limited (Fig.  1 ). Parallel to the dissemination of online use among residential households, interest of researchers in online pricing in a competitive environment started to take off. 71.8% of the papers published from 2015 to 2022 consider online settings specifically. The corresponding statistic from 2000 to 2005 amounts to 43.8%.

Competitive pricing literature and its consideration of online peculiarities accumulated by year

Development of research domains

Competitive pricing literature typically can be assigned to one of the following research domains:

The economics domain takes a market perspective across individual firms. It elaborates on the existence and uniqueness of competitive equilibria also including all subjects regarding econometrics.

The marketing management domain analyzes competitive pricing problems from the perspective of a single firm with a focus on customer reactions to pricing decisions. It includes all subjects linked to marketing, strategy, business, international, technology, innovation, and general management.

The operations domain considers quantitative pricing solutions for, among others, quantity planning, choice of distribution channels, and detection of algorithm driven price collusion. It includes all subjects regarding computer science, industrial and manufacturing engineering, and mathematics.

Separating the last 47 years of competitive pricing research into three intervals, all reviewed papers are assigned to their most affiliated research domain. Although the domains are similarly represented in our review (see Fig.  2 ), we see differences in their temporal change. Whereas rather theoretical economic subjects are covered relatively constant over time, more practice-oriented marketing management and operations subjects gained momentum since 2000. This suggests a shift from model conceptualization toward applicable research, frequently based on empirical data.

Distribution of competitive pricing literature over research domain and time interval

Geographical and industry context

As the origin of revenue management lies in transportation and hospitality optimization problems, one could expect that competitive pricing research also originates in these dynamic sectors. However, our analysis reveals a different picture: Almost half of the papers in our review do not concentrate on a specific industry. Besides, most industry-specific competitive pricing articles focus on retail, with 38% concentrating on the retail industry versus 8% and 4% on transportation and hospitality, respectively (see Fig.  3 ). This supports our proposition in chapter 1 that effects of competition on industry-specific pricing are particularly relevant for online markets.

Competitive pricing research by focal industry and location of lead authors’ institution

Competitive pricing literature is predominantly driven by researchers employed by U.S. institutions (60%). The remaining 40% consist of Europe (19%), Asia (17%) and Canada (4%).

Research approach

A lack of empirical testing is an issue that hampers competitive pricing research. Liozu ( 2015 ) reported that only 15% of general pricing literature include empirical data. For competitive pricing, the situation appears even more aggravated. In addition to parameters such as price elasticities and stock levels of the company under study, comprehensive, real-time information of other market participants is crucial to add practical value.

For instance, to solve a simple Bertrand equilibrium, Footnote 6 full information of all competitors is needed, which is rarely available in real-life settings. Therefore, many problems covered in the literature are of a theoretical nature. In accordance with Liozu ( 2015 ), we find that only 18% of reviewed articles use empirical evidence to validate hypotheses. An additional 23% strive to ameliorate this shortage through simulation data and numerical examples. The remaining 59% fail to bring any empirical evidence or numerical examples.

As can be taken from Fig.  4 , missing empirical support is particularly prevalent for equilibrium models which use empirical data in only 7% of all papers.

Competitive pricing research by research design and empirical validation

Competitive pricing on online markets

In this chapter, we assess the applicability of competitive pricing work to online markets. Typical characteristics of competitive B2C pricing models were derived from literature described in chapter 2. Competitive pricing literature can be classified along four characteristics depicted in Table 3 that form the market environment in which firms compete for consumer demand.

In the remainder of chapter 3, we discuss the four key questions in more depth and elaborate on their applicability to online retail markets.

Product similarity

In general, products in competitive pricing models are either identical (homogeneous) or differentiated by at least one quality parameter (heterogeneous). In case of homogeneous products, pricing is the only purchase decision variable—a perfectly competitive setting (Chen and Chen 2015 ). However, many firms strive to differentiate their products as this shifts the focus from the price as competitive lever to other product-related features (Afeche et al. 2011 ; Boyd and Bilegan 2003 ; Thomadsen 2007 ). According to Lancaster ( 1979 ), there are two types of product differentiation: vertical and horizontal differentiation. Vertical differentiation Footnote 7 encompasses all product distinctions which are objectively measurable and quantifiable regarding their quality level. Horizontal differentiation Footnote 8 can manifest in many variants and includes all product-related aspects which cannot be quantified according to their quality levels. Footnote 9 A key difference in the modeling of substitutable yet differentiated versus identical goods is that customers have heterogenous preferences among products. Footnote 10 A recent stream of literature approaches unknown differentiation criteria by assessing online consumer-generated content (DeSarbo and Grewal 2007 ; Lee and Bradlow 2011 ; Netzer et al. 2012 ; Ringel and Skiera 2016 ; Won et al. 2022 ).

Besides the chosen price level, Cachon and Harker ( 2002 ) argue that firms compete with the operational performance level offered and perceived, i.e., service level in online retail, to differentiate an otherwise homogenous offering. In situations, where resellers with comparable service and shipping policies offer similar products, price is a major decision variable for potential buyers (Yang et al. 2020 ). Often, e-tailers do not possess the right to exclusively distribute a certain product. For example, Samsung’s Galaxy S21 5G was offered by 69 resellers on the German price comparison website Idealo.de. Footnote 11 As some products in e-tail can be differentiated and others cannot, both identical and differentiated product research have their raison d’être for competitive online pricing.

Most competitive pricing models only address the effects of single-product settings. This simplification is reasonable if there is no interdependence between products of an e-tailer (Gönsch et al. 2009 ). Taking up on the smartphone example, the prices of close substitutes, such as Huawei’s P30 Pro, nonetheless have an impact on the demand of Samsung’s Galaxy S21 5G. To further extent product differentiation, price models have to incorporate multi-product pricing problems in non-cooperative settings (Chen and Chen 2015 ). Such models have to account not only for demand impact of directly competing products but also for synergies, cannibalization/substitution effects of (own) differentiated goods. Although there is a recent research stream regarding product assortment (Besbes and Sauré 2016 ; Federgruen and Hu 2015 ; Heese and Martínez-de-Albéniz 2018 ; Nip et al. 2020 ; Sun and Gilbert 2019 ), multi-product work is still underdeveloped. Thus, competitive multi-product pricing constitutes an area which should be addressed in future research.

Product durability

The durability of products is an important feature to differentiate between competitive pricing model types. Durable (non-perishable) products do not have an expiration date, for example consumer durables such as household appliances. Perishable products can only be sold for a limited time interval and have a finite sales horizon. After expiration date, unused capacity is lost or significantly devalued to a salvage value. Footnote 12 Combined with limited capacities, the firm objective is thus most often to maximize turnover under capacity constraints and finite sales horizon (Gallego and van Ryzin 1997 ; McGill and van Ryzin 1999 ; Weatherford and Bodily 1992 ).

Perishability can be of relevance for products with seasonality effects or short product life cycles (i.e., finite selling horizon) such as apparel, food groceries or winter sports equipment. This is especially relevant because online retailers of perishable products are severely restricted in their shipment, return handle policies and supply chain length (Cattani et al. 2007 ). Sellers cannot replenish their inventory after the planning phase and cannot retain goods for future sales periods (Perakis and Sood 2006 ). Some products like apparel—albeit reducing in value after a selling season—still have a certain salvage value and can be sold at reduced prices (Anand and Girotra 2007 ).

It depends on the type of product to decide whether perishability should be included in competitive pricing models. There is a fundamental distinction in the underlying optimization objective for models with or without perishability. Whereas models with perishable products tend to focus on revenue maximization over a definite short-term time horizon, models with durable products tend to focus on profit maximization over an indefinite or at least long-term time horizon by balancing current revenues of existing and future revenues of new customers. To account for this trade-off, models with durable products need to discount future cash flows incorporating time value of money, stock-keeping, opportunity and other costs related to prolonged sales (Farias et al. 2012 ). To conclude, perishability cannot be treated as an extension to durable models but rather as a separate class of pricing models. Depending on the product and/or setting in focus, both are relevant for online retailing. Further research could investigate the performance of models with and without consideration of perishability in various (online) settings to determine when it is appropriate to use which class of pricing models. Also, an interesting field of future studies arises around the question which instruments (e.g., service differentiations or price diffusion) are used by online retailers to differentiate otherwise homogeneous offerings.

Time dependence

A key differentiator of competitive pricing models is the consideration of either a static (time-independent) setup with definite equilibrium or a dynamic (time-dependent) constellation with changing environmental factors and equilibria. Albeit static pricing models have no time component, many consist of multiple stages to investigate the interplay of different factors. Footnote 13 In contrast, dynamic models allow for varying competitive (re-)actions over time. Footnote 14 Within the latter category, there are models with a finite (Afeche et al. 2011 ; Levin et al. 2008 ; Liu and Zhang 2013 ; Yang and Xia 2013 ) and an infinite (Anderson and Kumar 2007 ; Li et al. 2017 ; Schlosser and Richly 2019 ; Villas-Boas and Winer 1999 ; Weintraub et al. 2008 ) time horizon.

Historically, competitive pricing models assumed fixed prices over the considered time horizon. Limited computational power made it impossible to appropriately estimate models dynamically due to dimensionality issues (Schlosser and Boissier 2018 ). A lack of reliable demand information, high menu and investment costs to implement dynamic approaches were additional reasons why pricing models remained inherently static without incorporating changing competitive responses (Ferreira et al. 2016 ). The focus in retail has conventionally rather been on long-term profit optimization and to a lesser degree on dynamically changing price optimizations (Elmaghraby and Keskinocak 2003 ).

The literature disagrees on whether firms should opt for static or dynamic pricing strategies. A static environment allows to simplify and concentrate on a specific topic such as equilibrium discussions. For instance, Lal and Rao ( 1997 ) study success factors of everyday low pricing and derive conditions for a perfect Nash equilibrium between an everyday low price retailer and a retailer with promotional pricing. With Zara as an example for a company with a successful static pricing strategy, Liu and Zhang ( 2013 ) argue that with the presence of strategic customers who prolong sales in anticipation of price decreases, firms might even be better off to deploy static over dynamic price setting processes. Studying the time-variant pricing plans in electricity markets, Schlereth et al. ( 2018 ) suggest that consumers might prefer static over dynamic pricing because of factors like choice confusion, lack of trust in price fairness, perceived economical risk or perceived additional effort. Further support for a static pricing strategy is found in Cachon and Feldman ( 2010 ) and Hall et al. ( 2009 ).

Nevertheless, to generalize that static should strictly be preferred over dynamic pricing models could be short-sighted. Firms cannot generally infer future behavior of competitors from past observations to assess how competitive (re-) actions may influence the optimal pricing policy (Boer 2015b ). Corresponding to the surge of revenue management systems in the airline industry during the 70s and 80s, increased price and demand transparency, low menu costs and an abundance of decision support software created fierce competition among online retailers (Fisher et al. 2018 ). Taking up on the above mentioned example by Liu and Zhang ( 2013 ), Caro and Gallien ( 2012 ) show that even Zara does not solely rely on static pricing. They supported Zara’s pricing team in designing and implementing a dynamic clearance pricing optimization system—to generate a competitive advantage in addition to the fast-fashion retail model Zara mainly pursues (Caro 2012 ). Zhang et al. ( 2017 ) discuss various duopoly pricing models with static and dynamic pricing under advertising. They find that market surplus is highest when one firm prices dynamically, profiting from the static behavior of the other. Chung et al. ( 2012 ) provide numerical evidence that a dynamic pricing model with an appropriately specified demand estimation always outperforms static pricing strategies—also in settings with incomplete information. Xu and Hopp ( 2006 ) show that dynamic pricing outperforms preannounced pricing, especially with effective inventory management and elastic demand. Further support for advantages of dynamic pricing can be found by Popescu ( 2015 ), Wang and Sun ( 2019 ), and Zhang et al. ( 2018b ). Empirical evidence of the negative consequences of sticking to a static strategy in a changing environment is found in the cases of Nokia, Kodak, and Xerox.

While some scholars distinguish between discrete and continuous dynamic pricing systems (Vinod 2020 ), we suggest to classify dynamic pricing models according to their level of sophistication into two evolutionary stages: the (in e-commerce widely applied) manual rule-based pricing approach and the data-driven algorithmic optimization approach (Popescu 2015 ; Le Chen et al. 2016 ). Footnote 15 For the rule-based approach, “if-then-else rules” are defined and updated manually. Footnote 16 However, the mere number of stock-keeping units (SKUs) in today’s retailer offerings aggravate the initial setup and handling of rule-based pricing and make real-time adjustments unmanageable (Schlosser and Boissier 2018 ). In addition, rule-based approaches are rather subjective than sufficiently data-driven. Faced with a large range of SKUs, competitor responses and heterogeneous demand elasticities, canceling out the human decision-making process on an operational level is the next evolutionary step for competitive pricing systems (Calvano et al. 2020 ). Data-driven algorithmic pricing strategies use observable market Footnote 17 data to predict sales probabilities based on consumer demand and competitive responses (Schlosser and Richly 2019 ).

As online marketplaces benefit from an increased number of retailers on their platforms, they typically support sellers to establish automated dynamic pricing systems (Kachani et al. 2010 ). Footnote 18 However, Schlosser and Richly ( 2019 ) claim that current dynamic pricing systems are not able to deal with the complexity of competitor-based pricing and therefore most often ignore competition altogether or solely rely on manually adjusted rule-based mechanics. Challenges include the indefinite spectrum of changing competitor strategies, asymmetric access to competitor knowledge, a large solution space under limited information and the black-box character of dynamic systems, which exacerbates an intervention in case of a pricing system malfunction. Besides, researchers did not yet identify an algorithm which consistently outperforms other methodologies in competitive situations. Instead, it depends on the specific setting and other competitors’ pricing behavior to assess which pricing algorithm is optimal (van de Geer et al. 2019 ) exacerbating the application of such systems.

Reflecting the literature findings for both static and dynamic pricing strategies, we conclude that pricing managers should develop dynamic pricing models in most e-commerce situations. As long as demand and competitor price responses vary over time on online markets, dynamic models are naturally superior to time-independent approaches. Static models on the other hand are only appropriate in market constellations with little time-varying demand and competitor behavior. As static research can be expected to remain a vivid field of literature, further research with regard to the transferability of static models to dynamic settings is desirable. In addition, more research is needed that helps to better understand the implications of widely applied rule-based dynamic pricing methods and their transition toward algorithmic approaches (Boer 2015a ; van de Geer et al. 2019 ; Kastius and Schlosser 2022 ; Könönen 2006 ).

Market structure

The market structure describes the number of competing firms such as duopoly or oligopoly in a demand setting with an indefinite number of consumers. 60% of the reviewed papers studied duopolies, 49% oligopolies, 7% monopolistic competition, and 3% perfect competition. Footnote 19

Especially for research in the economics stream, many papers assume a perfectly competitive market. Pricing research with perfectly competitive markets (e.g., van Mieghem and Dada 1999 or Yang and Xia 2013 ) is likely to be of very limited value to online retailers. Building on the notion of Diamond ( 1971 ), Salop ( 1976 ) argues that if customers have positive information gathering costs, no perfect competition can occur as firms have room to slightly increase prices without losing demand. Christen ( 2005 ) found evidence that even with strong competition and low information costs, cost uncertainty could decrease the detrimental effect of competition for sellers and could increase prices above Bertrand levels. Similarly, Bryant ( 1980 ) showed that perfect competition is not possible in a market with uncertain demand, even if the number of firms is large and customers have no search costs. Rather, price dispersion reflects uncertain demand (Borenstein and Rose Nancy L. 1994 ; Cavallo 2018 ; Clemons et al. 2002 ; Obermeyer et al. 2013 ; Wang et al. 2021 ). Israeli et al. ( 2022 ) empirically show that the market power of individual firms does not only depend on the number and intensity of competitors but also on the firm’s ability to adjust prices in response to varying inventory levels of product substitutes, especially with low consumer search costs. This is of relevance for e-commerce as e-tailers could exploit this dependence by incorporating competitors’ stock levels into pricing decisions (Fisher et al. 2018 ).

Some papers discuss (quasi) monopolistic competition (e.g., Xu and Hopp 2006 ) in which small firms charge the (higher) monopoly price rather than the (lower) competitive price. From an empirical study in the U.S. airline industry, Chen (2018) concludes that, as firms can price discriminate late-arriving consumers, competition is softened, profits are increased, and the only single-price equilibrium could be at the monopoly price. This supports Lal and Sarvary ( 1999 ) who show that online retailers enjoy a certain amount of monopoly power in cases where buyers cannot switch suppliers for repeated purchases (e.g., technical incompatibility reasons). In such cases, switching costs could increase online prices (Chen and Riordan 2008 ). However, this contradicts Deck and Gu ( 2012 ) who empirically show that, although the distribution of buyer values of competing products might theoretically lead to higher prices through competition, intensity of competition rarely allows for an occurrence of this phenomenon in e-tail settings.

Although duopoly settings can serve to assess the relevant strength of pricing strategies, which is not directly possible for oligopoly markets due to the curse of dimensionality (Kastius and Schlosser 2022 ), they cannot be transferred to more competitive environments (van de Geer et al. 2019 ). In online retail, a duopoly market structure is a rare exemption. Like for perfectly competitive markets, findings of duopoly research must be carefully assessed in terms of their applicability to online retail oligopolies.

Bresnahan and Reiss ( 1991 ) found empirical evidence that markets with an increasing number of dealers have lower prices than in less competitive market structures such as monopolies or duopolies. Although applicable to many online retail markets, where retailers face dozens, if not hundreds of thousands of competitors (Schlosser and Boissier 2018 ), few research attention is currently given toward a structure with a large number of competitors in an imperfect market (cf. Li et al. 2017 ). A way to assess the current competitive structure of markets is the utilization of online consumer-generated content such as forum entries (Netzer et al. 2012 ; Won et al. 2022 ) or clickstream data (Ringel and Skiera 2016 ) and actual sales data (Kim et al. 2011 ).

In many countries with well-developed B2C online markets, one or few major retailers dominate on an oligopolistic market. For example, the top three online retailers in the United States accounted for over 50% of the revenue generated on the national e-commerce market in 2021. Footnote 20 Due to lower locational limitations in conjunction with substantial economies of scale and scope, online markets tend to become more concentrated than their offline counterparts (Borsenberger 2015 ). Although one could expect that increased market transparency leads to a higher intensity of competition (Cao and Gruca 2003 ), limiting the market power of established firms and leaving growth potential for smaller firms (Zhao et al. 2017 ), it appears reasonable to predict that most online markets will ultimately resemble an oligopoly setting with a with a relatively small number of players—enabling increased tacit pricing algorithm collusion in the future (Calvano et al. 2020 ). With few exceptions (e.g., Noel 2007 ), there is little research (Brown and Goolsbee 2002 ; Wang et al. 2021 ; Cavallo 2018 ) exploring what type of competitor-based pricing strategies are used and what competitive dynamics are found on e-tail markets. Thus, more research is needed to investigate the current state of market structure and intensity of competition in today’s e-commerce markets as drivers of the selection and the outcomes of pricing approaches.

Implications and directions

We contribute to the literature by providing an interdisciplinary review of competitive online retail research. Competitive pricing problems can most often be assigned to one of the academic fields of economics, marketing management or operations. In a first step, this review offered a descriptive portrayal of the relevant literature. Motivated by practical issues and common features in competitive pricing research, we then structured competitive pricing contributions along four properties of pricing models. First, do firms compete with identical or quality differentiated products? Second, are products to be considered as perishable or durable goods? Third, is the market setting to be regarded time-independent or not? Fourth, which market structure prevails on e-tail markets? The framework is derived from an analysis of pricing research not exclusively restricted to online retail settings. Therefore, it could be extended to other online or offline markets, with little loss of generalizability.

We focused on e-tail markets because the relevance of competition for pricing strategies is disproportionally higher in such environments. On e-tail online markets, products are rarely offered exclusively so that the likelihood of substitutive competition is high. Nevertheless, products can be differentiated through other factors than prices such as generous shipping, customer retention (e.g., loyalty reward programs) or return and issue handling policies. With a look on product similarities, accounting for product interdependencies and multi-product situations are important improvements of prevailing pricing models. Second, pricing models with both a focus on perishable and/or durable products are relevant on e-tail markets. However, further research is needed exploring which of the respective perishability considerations are appropriate for different settings. Third, we conclude that, albeit time-independent static models may occasionally serve to simplify pricing issues, dynamic models outperform their static counterparts in constantly changing market environments such as in e-commerce. Fourth, we show that in most practical settings, online markets resemble either an oligopolistic market structure or a structure with many firms under imperfect competition. Thus, future research should consider these two “real” competitive settings instead of further looking at simplifying market structures such as monopolistic or duopolistic competition. This should ease a transfer of theoretical insights into practical applications. To sum, firms should be able to improve their competitive position by developing a profit optimizing dynamic pricing strategy for identical products in an oligopolistic setting with a varying number and relevance of competitors.

Due to space limitations, we had to focus on competitive pricing model characteristics related to four overall product and market attributes. Thus, more work is needed on other characteristics of competitive pricing models, particularly firm- and consumer-related characteristics. Firm-related characteristics encompass various additional properties of interacting firms (e.g., similarity or capacity constraints). Similarly, consumer-related characteristics entail further properties of interacting buyers (e.g., certainty, discreteness, sophistication, and homogeneity of demand).

In the selection process of literature, this study only considered papers in peer-reviewed journals and conference proceedings in English. Subsequent research could complement our findings by including industry-funded, unpublished and non-peer-reviewed articles, also in other languages. In addition, we do not claim that our research captures all competitive pricing publications of the considered field. As our study spans almost 50 years of a frequently discussed topic in the domains of economics, marketing management, and operations, we had to constrain the scope to the most influential work. Although we mutually evaluated our selection decisions and consulted outside peers for validation and further input, we cannot eliminate the element of subjectivity. Consequently, other authors could have selected slightly different papers. However, this shortcoming is unlikely to significantly affect our results as our literature selection was derived from a broad array of competitive pricing research and would therefore be only marginally influenced by a few omitted articles.

Competitive pricing includes all activities and processes to price products with the consideration of competitors. This does not only include rigidly pegging prices to competitor prices but rather a comprehensive consideration of current and expected price (re-)actions of competing firms to sustainably ensure profit maximization. In this article, the terms competitive pricing, competitor-oriented pricing and competitor-based pricing are used synonymously.

Search costs are defined as the costs of time and resources to acquire information with respect to price, assortment, and quality characteristics of the goods provided by different sellers. The internet dramatically reduces search costs through price comparison websites such as Google Shopping, Shopzilla (USA) or Idealo (Germany).

Business-to-consumer (B2C) online retail sales encompass all forms of electronic commerce markets in which residential end customers can directly buy goods from a seller over the internet through a web browser or a mobile app. In this paper, the terms business-to-consumer (B2C) online goods retail, online retail, e-tail, e-retail and e-commerce markets are used synonymously.

In contrast to classical quantity-based revenue management, dynamic pricing, also known as surge pricing, is the practice of adjusting prices according to current market demand (Boer 2015a ). Revenue management, also known as yield management, is a type of price discrimination which originates from the airline and hospitality industries. Typically, revenue management models assume fixed capacities, low marginal cost, varying demand and highly perishable inventory (Talluri and van Ryzin 2004 ).

Keywords used for abstract, title and keyword screening were “competitive pricing”, “competitor-based pricing”, “competition” AND “pricing”. To find literature for online pricing in particular, the search was combined with the keywords “online”, “e-retail”, “ecommerce” and “e-commerce”. Whereas the combination was scanned in great depths, the three competitive keywords were screened for influential papers with implications for online markets.

Bertrand competition is a simplified model of competition to explain price competition among (at least) two firms for an identical product at equal unit cost of production. Prices are set simultaneously, and consumers buy without search costs from the firm with the lowest price. When all firms charge the same price, consumer demand is split evenly between firms. A firm is willing to supply unlimited amounts of quantities above the unit cost of production and is indifferent to supply at unit cost as it will earn zero profit. The only Bertrand equilibrium exists when prices are equal to unit cost (i.e., competitive price) as each firm otherwise would have an incentive to undercut all other competitors and thereby rake in the entire market demand. Therefore, there can be no equilibrium at prices above the competitive price and price dispersion cannot occur.

In vertical differentiation, consumer choice depends on specific quality levels of product attributes. At the same price, all consumers prefer one product over other products, for example because of superior design. In the simplest form, products differ in one attribute and customers are willing to pay marginal increments of this attribute.

In horizontal differentiation, consumer choice depends on preferences for products. At the same price, some customers would buy one product and others other products.

We consider product differentiation only to product-related differentiation attributes. However, in competitive pricing literature firm-related differences such as firm loyalty or distribution channels are occasionally attributed to differentiation. For example, Abhishek et al. ( 2016 ) differentiate online distribution channels of otherwise homogeneous products and firms.

Heterogeneous customer preferences are a key requirement for product differentiation, otherwise price constitutes the only driver of the buying decision (Li et al. 2017 ). Without heterogeneity in consumers’ marginal willingness to pay for different levels of product quality, there can be no product differentiation (Pigou 1920 ).

Accessed 14–03-2022.

Salvage value is defined as the residual cash-flow of a good after its expiration date.

For example, game settings on the foundation of Stackelberg games necessarily comprise ≥ 2 stages (Geng and Mallik 2007 ; Gupta et al.; Wang et al. 2020 ; Yao and Liu 2005 ). Another example would be Anand and Girotra ( 2007 ) who propose a 3-stage model in which they include the supply chain configuration and determination of production quantities in addition to the actual price setting.

As such, we classify n-stage models as dynamic models when not all individual stages serve a specific time-independent purpose.

For instance, the Brandenburg consumer advice center (Verbraucherzentrale Brandenburg) examined dynamic price differentiation in online retail and found that 15 of the 16 observed German online shops dynamically changed their prices in 2018 (Dautzenberg et al. 2018 ).

A typical rule would be to set prices always x% lower than competitor prices up to a certain profit threshold.

Observable market data include price and stock levels of competitors (Fisher et al. 2018 ) or clickstream and keyword data of customers (Li et al. 2017 ).

Examples for support programs by online marketplaces are Amazon’s Seller Central ( https://sellercentral.amazon.com/gp/help/external/G201994820?language=en_US&ref=efph_G201994820_cont_43381 ; Accessed 14–03-2022), eBay’s Seller Tools ( https://pages.ebay.com/sell/automation.html ; Accessed 14–03-2022) or Idealo’s Partner Program ( https://partner.idealo.com/de ; Accessed 14–03-2022).

Cumulatively, these values exceed 100% as some articles discussed more than one kind of market structure. Applied by economists to simplify real markets as the foundation of price theory, perfect competition relates to a market structure which is controlled entirely by market forces and not by individual firms. Instead, individual firms only act as price takers and cannot earn any economic profit. The conditions for a perfect competition, such as full information, homogeneous products, fully rational buyers, no scale, network or externality effects, no entry barriers, and no transaction costs, are rarely attainable in practical settings (Stigler 1957 ). If not all conditions for perfect competition are fulfilled, the market structure is imperfect which applies to most practical settings. Besides a monopoly with only one seller on the market, three market structures with competing firms exist: Monopolistic, duopolistic, and oligopolistic competition. An oligopoly is characterized by a small number of firms in which the behavior of one firm drives the actions of other firms. A duopoly is a particular case of an oligopoly in which two firms control the market. An extreme case of imperfect competition is (quasi) monopolistic competition in which products are differentiated and firms maintain a certain spare capacity giving them a certain degree of pricing power to maximize their (short-term) profits. In consequence, prices can be higher than corresponding the competitive (Bertrand) price (Vives 2001 ).

For an overview of the top 15 online shops in the United States in 2021, see Davidkhanian ( 2021 ).

Abhishek, Vibhanshu, Kinshuk Jerath, and Z. John Zhang. 2016. Agency selling or reselling? Channel structures in electronic retailing. Management Science 62 (8): 2259–2280. https://doi.org/10.1287/mnsc.2015.2230 .

Article   Google Scholar  

Adida, Elodie, and Georgia Perakis. 2010. Dynamic pricing and inventory control: Uncertainty and competition. Operations Research 58 (2): 289–302. https://doi.org/10.1287/opre.1090.0718?journalCode=opre .

Afeche, Philipp, Hu Ming, and Yang Li. 2011. Reorder flexibility and price competition for differentiated seasonal products with market size uncertainty. SSRN Electronic Journal . https://doi.org/10.2139/ssrn.1976886 .

Aggarwal, Praveen, and Taihoon Cha. 1998. Asymmetric price competition and store vs. national brand choice. Journal of Product & Brand Management 7 (3): 244–253. https://doi.org/10.1108/10610429810222877 .

Aksoy-Pierson, Margaret, Gad Allon, and Awi Federgruen. 2013. Price competition under mixed multinomial logit demand functions. Management Science 59 (8): 1817–1835. https://doi.org/10.1287/mnsc.1120.1664 .

Allen, Beth, and Martin Hellwig. 1986. Bertrand-Edgeworth oligopoly in large markets. Review of Economic Studies 53 (2): 175–204. https://doi.org/10.2307/2297646 .

Anand, Krishnan S., and Karan Girotra. 2007. The strategic perils of delayed differentiation. Management Science 53 (5): 697–712. https://doi.org/10.1287/mnsc.1060.0655 .

Anderson, Eric T., and Nanda Kumar. 2007. Price competition with repeat, loyal buyers. Quantitative Marketing and Economics 5 (4): 333–359. https://doi.org/10.1007/s11129-007-9023-7 .

Anderson, Chris K., Henning Rasmussen, and Leo MacDonald. 2005. Competitive pricing with dynamic asymmetric price effects. International Transactions in Operational Research 12 (5): 509–525. https://doi.org/10.1111/j.1475-3995.2005.00522.x .

Anton, James J., Gary Biglaiser, and Nikolaos Vettas. 2014. Dynamic price competition with capacity constraints and a strategic buyer. International Economic Review 55 (3): 943–958. https://doi.org/10.1111/iere.12077 .

Anufriev, Mikhail, Dávid Kopányi, and Jan Tuinstra. 2013. Learning cycles in bertrand competition with differentiated commodities and competing learning rules. Journal of Economic Dynamics and Control 37 (12): 2562–2581. https://doi.org/10.1016/j.jedc.2013.06.010 .

Armstrong, J. Scott, and Kesten C. Green. 2007. Competitor-oriented objectives: Myth of market share. International Journal of Business 12 (1): 117–136.

Google Scholar  

Ba, Sulin, Jan Stallaert, and Zhongju Zhang. 2012. Research note—Online price dispersion: A game-theoretic perspective and empirical evidence. Information Systems Research 23 (2): 575–592. https://doi.org/10.1287/isre.1110.0353 .

Babaioff, Moshe, Renato Paes Leme, and Balasubramanian Sivan. 2015. Price competition, fluctuations, and welfare guarantees. In EC '15: Proceedings of the Sixteenth ACM Conference on Economics and Computation, Portland, USA. 15-Jun-15 - 19-Jun-15. https://doi.org/10.48550/arXiv.1411.2036

Balakrishnan, Anantaram, Shankar Sundaresan, and Bo. Zhang. 2014. Browse-and-switch: Retail-online competition under value uncertainty. Production and Operations Management 23 (7): 1129–1145. https://doi.org/10.1111/poms.12165 .

Balasubramanian, Sridhar. 1998. Mail versus mall: A strategic analysis of competition between direct marketers and conventional retailers. Marketing Science 17 (3): 181–195. https://doi.org/10.1287/mksc.17.3.181 .

Baloglu, Seyhmus, and Lisa Marie Assante. 1999. A content analysis of subject areas and research methods used in five hospitality management journals. Journal of Hospitality & Tourism Research 23 (1): 53–70. https://doi.org/10.1177/109634809902300105 .

Bernstein, Fernando, and Awi Federgruen. 2004. A general equilibrium model for industries with price and service competition. Operations Research 52 (6): 868–886. https://doi.org/10.1287/opre.1040.0149 .

Bernstein, Fernando, and Awi Federgruen. 2005. Decentralized supply chains with competing retailers under demand uncertainty. Management Science 51 (1): 18–29. https://doi.org/10.1287/mnsc.1040.0218 .

Bernstein, Fernando, Jing-Sheng Song, and Xiaona Zheng. 2008. “Bricks-and-mortar” vs. “clicks-and-mortar”: An equilibrium analysis. European Journal of Operational Research 187 (3): 671–690. https://doi.org/10.1016/j.ejor.2006.04.047 .

Bertrand, Joseph Louis François. 1883. Thèorie mathèmatique de la richesse sociale. Journal des Savants 499–508.

Bertsimas, Dimitris, and Georgia Perakis. 2006. Dynamic pricing: A learning approach. In Mathematical and computational models for congestion charging , ed. Siriphong Lawphongpanich, Donald W. Hearn, and Michael J. Smith, 45–79. Boston: Kluwer Academic Publishers.

Chapter   Google Scholar  

Besbes, Omar, and Denis Sauré. 2016. Product assortment and price competition under multinomial logit demand. Production and Operations Management 25 (1): 114–127. https://doi.org/10.1111/poms.12402 .

Bischi, Gian-Italo, Carl Chiarella, and Michael Kopel. 2004. The long run outcomes and global dynamics of a duopoly game with misspecified demand functions. International Game Theory Review 6 (3): 343–379. https://doi.org/10.1142/S0219198904000253 .

Blattberg, Robert C., and Kenneth J. Wisniewski. 1989. Price-induced patterns of competition. Marketing Science 8 (4): 291–309. https://doi.org/10.1287/mksc.8.4.291 .

Boardman, Rosy, and Helen McCormick. 2018. Shopping channel preference and usage motivations. Journal of Fashion Marketing and Management: An International Journal 22 (2): 270–284. https://doi.org/10.1108/JFMM-04-2017-0036 .

Boccard, Nicolas, and Xavier Wauthy. 2000. Bertrand competition and Cournot outcomes: Further results. Economics Letters 68 (3): 279–285. https://doi.org/10.1016/S0165-1765(00)00256-1 .

Borenstein, Severin, and L. Rose Nancy. 1994. Competition and price dispersion in the U.S. airline industry. Journal of Political Economy 102 (4): 653–683. https://doi.org/10.1086/261950 .

Borsenberger, Claire. 2015. The concentration phenomenon in e-commerce. In Postal and delivery innovation in the digital economy , ed. Michael A. Crew and Timothy J. Brennan, 31–41. Cham: Springer International Publishing.

Boyd, E. Andrew, and Ioana C. Bilegan. 2003. Revenue management and e-commerce. Management Science 49 (10): 1363–1386. https://doi.org/10.1287/mnsc.49.10.1363.17316 .

Bresnahan, Timothy F., and Peter C. Reiss. 1991. Entry and competition in concentrated markets. Journal of Political Economy 99 (5): 977–1009. https://doi.org/10.1086/261786 .

Brown, Jeffrey R., and Austan Goolsbee. 2002. Does the internet make markets more competitive? Evidence from the life insurance industry. Journal of Political Economy 110 (3): 481–507. https://doi.org/10.1086/339714 .

Bryant, John. 1980. Competitive equilibrium with price setting firms and stochastic demand. International Economic Review 21 (3): 619–626. https://doi.org/10.2307/2526357 .

Brynjolfsson, Erik, and Michael D. Smith. 2000. Frictionless commerce? A comparison of internet and conventional retailers. Management Science 46 (4): 563–585. https://doi.org/10.1287/mnsc.46.4.563.12061 .

Cachon, Gérard P., and Pnina Feldman. 2010. Dynamic versus static pricing in the presence of strategic consumers. The Wharton School, University of Pennsylvania (Working Paper).

Cachon, Gérard. P., and Patrick T. Harker. 2002. Competition and outsourcing with scale economies. Management Science 48 (10): 1314–1333. https://doi.org/10.1287/mnsc.48.10.1314.271 .

Caillaud, Bernard, and Romain de Nijs. 2014. Strategic loyalty reward in dynamic price discrimination. Marketing Science 33 (5): 725–742. https://doi.org/10.1287/mksc.2013.0840 .

Calvano, Emilio, Giacomo Calzolari, Vincenzo Denicolò, and Sergio Pastorello. 2020. Artificial intelligence, algorithmic pricing, and collusion. American Economic Review 110 (10): 3267–3297. https://doi.org/10.1257/aer.20190623 .

Campbell, Colin, Gautam Ray, and Waleed A. Muhanna. 2005. Search and collusion in electronic markets. Management Science 51 (3): 497–507. https://doi.org/10.1287/mnsc.1040.0327 .

Cao, Yong, and Thomas S. Gruca. 2003. The effect of stock market dynamics on internet price competition. Journal of Service Research 6 (1): 24–36. https://doi.org/10.1177/1094670503254272 .

Caplin, Andrew, and Barry Nalebuff. 1991. Aggregation and imperfect competition: On the existence of equilibrium. Econometrica 59 (1): 25–59. https://doi.org/10.2307/2938239 .

Caro, Felipe. 2012. Zara: Staying fast and fresh. The European Case Clearing House. ECCH Case study 612-006-1.

Caro, Felipe, and Jérémie. Gallien. 2012. Clearance pricing optimization for a fast-fashion retailer. Operations Research 60 (6): 1404–1422. https://doi.org/10.2139/ssrn.1731402 .

Cattani, Kyle, Olga Perdikaki, and Ann Marucheck. 2007. The perishability of online grocers. Decision Sciences 38 (2): 329–355. https://doi.org/10.1111/j.1540-5915.2007.00161.x .

Cavallo, Alberto. 2018. More Amazon effects: online competition and pricing behaviors. National Bureau of Economic Research (Working Papers 25138).

Cebollada, Javier, Yanlai Chu, and Zhiying Jiang. 2019. Online category pricing at a multichannel grocery retailer. Journal of Interactive Marketing 46 (1): 52–69. https://doi.org/10.1016/j.intmar.2018.12.004 .

Chen, Yongmin. 1997. Paying customers to switch. Journal of Economics Management Strategy 6 (4): 877–897. https://doi.org/10.1111/j.1430-9134.1997.00877.x .

Chen, Ming, and Zhi-Long. Chen. 2015. Recent developments in dynamic pricing research: Multiple products, competition, and limited demand information. Production and Operations Management 24 (5): 704–731. https://doi.org/10.1111/poms.12295 .

Chen, Yongmin, and Michael H. Riordan. 2008. Price-increasing competition. RAND Journal of Economics 39 (4): 1042–1058. https://doi.org/10.1111/j.1756-2171.2008.00049.x .

Chen, Ying-Ju, Yves Zenou, and Junjie Zhou. 2018. Competitive pricing strategies in social networks. RAND Journal of Economics 49 (3): 672–705. https://doi.org/10.1111/1756-2171.12249 .

Cheng, Kuangnen. 2017. Competitive dynamics across strategic groups: A literature review and validation by quantitative evidence of operation data. International Journal of Business Environment 9 (4): 301–323. https://doi.org/10.1504/IJBE.2017.092223 .

Chiang, Wen Chyuan, Jason C.H. Chen, and Xu Xiaojing. 2007. An overview of research on revenue management: Current issues and future research. International Journal of Revenue Management 1 (1): 97–128. https://doi.org/10.1504/IJRM.2007.011196 .

Chintagunta, Pradeep K., Junhong Chu, and Javier Cebollada. 2012. Quantifying transaction costs in online/offline grocery channel choice. Marketing Science 31 (1): 96–114. https://doi.org/10.1287/mksc.1110.0678 .

Chioveanu, Ioana. 2012. Price and quality competition. Journal of Economics 107 (1): 23–44. https://doi.org/10.1007/s00712-011-0259-z .

Chioveanu, Ioana, and Jidong Zhou. 2013. Price competition with consumer confusion. Management Science 59 (11): 2450–2469. https://doi.org/10.1287/mnsc.2013.1716 .

Choi, S. Chan. 1996. Price competition in a duopoly common retailer channel. Journal of Retailing 72 (2): 117–134. https://doi.org/10.1016/S0022-4359(96)90010-X .

Christen, Markus. 2005. Research note: Cost uncertainty is bliss: The effect of competition on the acquisition of cost information for pricing new products. Management Science 51 (4): 668–676. https://doi.org/10.1287/mnsc.1040.0320 .

Chu, Junhong, Pradeep Chintagunta, and Javier Cebollada. 2008. Research note: A comparison of within-household price sensitivity across online and offline channels. Marketing Science 27 (2): 283–299. https://doi.org/10.1287/mksc.1070.0288 .

Chung, Byung Sun, Jiahan Li, Tao Yao, Changhyun Kwon, and Terry L. Friesz. 2012. Demand learning and dynamic pricing under competition in a state-space framework. IEEE Transactions on Engineering Management 59 (2): 240–249.

Clemons, Eric K., Il-Horn Hann, and Lorin M. Hitt. 2002. Price dispersion and differentiation in online travel: An empirical investigation. Management Science 48 (4): 534–549. https://doi.org/10.1287/mnsc.48.4.534 .

Cooper, William L., Tito Homem-de-Mello, and Anton J. Kleywegt. 2015. Learning and pricing with models that do not explicitly incorporate competition. Operations Research 63 (1): 86–103. https://doi.org/10.1287/opre.2014.1341 .

Currie, Christine S. M., Russell C. H. Cheng, and Honora K. Smith. 2008. Dynamic pricing of airline tickets with competition. Journal of the Operational Research Society 59 (8): 1026–1037. https://doi.org/10.1057/palgrave.jors.2602425 .

Dana, James D., and Nicholas C. Petruzzi. 2001. Note: The newsvendor model with endogenous demand. Management Science 47 (11): 1488–1497. https://doi.org/10.1287/mnsc.47.11.1488.10252 .

Dana, James D., and Kevin R. Williams. 2022. Intertemporal price discrimination in sequential quantity-price games. Marketing Science . https://doi.org/10.1287/mksc.2021.1345 .

Dasci, Abdullah, and Mustafa Karakul. 2009. Two-period dynamic versus fixed-ratio pricing in a capacity constrained duopoly. European Journal of Operational Research 197 (3): 945–968. https://doi.org/10.1016/j.ejor.2007.12.039 .

Dautzenberg, Kirsti, Constanze Gaßmann, and Britta Groß. 2018. Online-Handel: Das Spiel mit dem dynamischen Preis. https://www.verbraucherzentrale-brandenburg.de/sites/default/files/2018-08/marktwaechter-untersuchung-dynamische-preisdifferenzierung.pdf . Accessed 14 March 2022.

Davidkhanian, Suzy. 2021. US retail spending jumped nearly 16% this year despite inflation, supply chain woes. https://www.emarketer.com/content/us-retail-spending-jumped-this-year-despite-inflation-supply-chain-woes . Accessed 14 March 2022.

de Toni, Deonir, Gabriel Sperandio Milan, Evandro Busata Saciloto, and Fabiano Larentis. 2017. Pricing strategies and levels and their impact on corporate profitability. Revista de Administração 52 (2): 120–133. https://doi.org/10.1016/j.rausp.2016.12.004 .

Deck, Cary, and Gu Jingping. 2012. Price increasing competition? Experimental evidence. Journal of Economic Behavior & Organization 84 (3): 730–740. https://doi.org/10.1016/j.jebo.2012.09.015 .

den Boer, Arnoud V. 2015a. Dynamic pricing and learning: Historical origins, current research, and new directions. Surveys in Operations Research and Management Science 20 (1): 1–18. https://doi.org/10.1016/j.sorms.2015.03.001 .

den Boer, Arnoud V. 2015b. Tracking the market: Dynamic pricing and learning in a changing environment. European Journal of Operational Research 247 (3): 914–927.

DeSarbo, Wayne S., and Rajdeep Grewal. 2007. An alternative efficient representation of demand-based competitive asymmetry. Strategic Management Journal 28 (7): 755–766. https://doi.org/10.1002/smj.601 .

Devaraj, Sarv, Ming Fan, and Rajiv Kohli. 2002. Antecedents of B2C channel satisfaction and preference: Validating e-commerce metrics. Information Systems Research 13 (3): 316–333. https://doi.org/10.1287/isre.13.3.316.77 .

Diamond, Peter A. 1971. A model of price adjustment. Journal of Economic Theory 3 (2): 156–168. https://doi.org/10.1016/0022-0531(71)90013-5 .

Dickson, Peter R., and Joel E. Urbany. 1994. Retailer reactions to competitive price changes. Journal of Retailing 70 (1): 1–21. https://doi.org/10.1016/0022-4359(94)90025-6 .

Dinerstein, Michael, Liran Einav, Jonathan Levin, and Neel Sundaresan. 2018. Consumer price search and platform design in internet commerce. American Economic Review 108 (7): 1820–1859. https://doi.org/10.1257/aer.20171218 .

Dong, James, A. Serdar Simsek, and Huseyin Topaloglu. 2019. Pricing problems under the Markov chain choice model. Production and Operations Management 28 (1): 157–175. https://doi.org/10.1111/poms.12903 .

Dudey, Marc. 1992. Dynamic Edgeworth-Bertrand competition. Quarterly Journal of Economics 107 (4): 1461–1477. https://doi.org/10.2307/2118397 .

Dzyabura, Daria, Srikanth Jagabathula, and Eitan Muller. 2019. Accounting for discrepancies between online and offline product evaluations. Marketing Science 38 (1): 88–106. https://doi.org/10.1287/mksc.2018.1124 .

Elmaghraby, Wedad, and Pınar Keskinocak. 2003. Dynamic pricing in the presence of inventory considerations: Research overview, current practices, and future directions. Management Science 49 (10): 1287–1309. https://doi.org/10.1287/mnsc.49.10.1287.17315 .

Farias, Vivek, Denis Saure, and Gabriel Y. Weintraub. 2012. An approximate dynamic programming approach to solving dynamic oligopoly models. RAND Journal of Economics 43 (2): 253–282. https://doi.org/10.1111/j.1756-2171.2012.00165.x .

Fay, Scott. 2008. Selling an opaque product through an intermediary: The case of disguising one’s product. Journal of Retailing 84 (1): 59–75. https://doi.org/10.1016/j.jretai.2008.01.005 .

Federgruen, Awi, and Hu Ming. 2015. Multi-product price and assortment competition. Operations Research 63 (3): 572–584. https://doi.org/10.1287/opre.2015.1380 .

Ferreira, Kris Johnson, Bin Hong Alex. Lee, and David Simchi-Levi. 2016. Analytics for an online retailer: Demand forecasting and price optimization. Manufacturing Service Operations Management 18 (1): 69–88. https://doi.org/10.1287/msom.2015.0561 .

Fisher, Marshall, Santiago Gallino, and Jun Li. 2018. Competition-based dynamic pricing in online retailing: A methodology validated with field experiments. Management Science 64 (6): 2473–2972. https://doi.org/10.1287/mnsc.2017.2753 .

Frambach, Ruud T., Henk C.A. Roest, and Trichy V. Krishnan. 2007. The impact of consumer internet experience on channel preference and usage intentions across the different stages of the buying process. Journal of Interactive Marketing 21 (2): 26–41. https://doi.org/10.1002/dir.20079 .

Gallego, Guillermo, and Hu Ming. 2014. Dynamic pricing of perishable assets under competition. Management Science 60 (5): 1241–1259. https://doi.org/10.1287/mnsc.2013.1821 .

Gallego, Guillermo, Woonghee Tim Huh, Wanmo Kang, and Robert Phillips. 2006. Price competition with the attraction demand model: Existence of unique equilibrium and its stability. Manufacturing & Service Operations Management 8 (4): 359–375. https://doi.org/10.1287/msom.1060.0115 .

Gallego, Guillermo, and Garrett J. van Ryzin. 1997. A multiproduct dynamic pricing problem and its applications to network yield management. Operations Research 45 (1): 24–41. https://doi.org/10.1287/opre.45.1.24 .

Gallego, Guillermo, and Ruxian Wang. 2014. Multi-product optimization and competition under the nested logit model with product-differentiated price sensitivities. Operations Research 62 (2): 450–461. https://doi.org/10.1287/opre.2013.1249 .

Gao, Fei, and Su Xuanming. 2018. Omnichannel service operations with online and offline self-order technologies. Management Science 64 (8): 3595–3608. https://doi.org/10.1287/mnsc.2017.2787 .

Geng, Qin, and Suman Mallik. 2007. Inventory competition and allocation in a multi-channel distribution system. European Journal of Operational Research 182 (2): 704–729. https://doi.org/10.1016/j.ejor.2006.08.041 .

Gönsch, Jochen, Robert Klein, and Claudius Steinhardt. 2009. Dynamic pricing - State-of-the-art. Journal of Business Economics 3 (2): 1–40.

Gupta, Varun, Dmitry Ivanov, and Tsan-Ming Choi. 2021. Competitive pricing of substitute products under supply disruption. Omega . https://doi.org/10.1016/j.omega.2020.102279 .

Hagiu, Andrei. 2007. Merchant or two-sided platform? Review of Network Economics 6 (2): 115–133. https://doi.org/10.2202/1446-9022.1113 .

Hall, Joseph M., Praveen K. Kopalle, and David F. Pyke. 2009. Static and dynamic pricing of excess capacity in a make-to-order environment. Production and Operations Management 18 (4): 411–425. https://doi.org/10.1111/j.1937-5956.2009.01044.x .

Hamilton, Jonathan H., and Steven M. Slutsky. 1990. Endogenous timing in duopoly games: Stackelberg or cournot equilibria. Games and Economic Behavior 2 (1): 29–46. https://doi.org/10.1016/0899-8256(90)90012-J .

Harsha, Pavithra, Shivaram Subramanian, and Joline Uichanco. 2019. Dynamic pricing of omnichannel inventories. Manufacturing & Service Operations Management 21 (1): 47–65. https://doi.org/10.1287/msom.2018.0737 .

Heese, H. Sebastian, and Victor Martínez-de-Albéniz. 2018. Effects of assortment breadth announcements on manufacturer competition. Manufacturing and Service Operations Management 20 (2): 302–316. https://doi.org/10.1287/msom.2017.0643 .

Hinterhuber, Andreas. 2008. Customer value-based pricing strategies: Why companies resist. Journal of Business Strategy 29 (4): 41–50. https://doi.org/10.1108/02756660810887079 .

Isler, Karl, and Henrik Imhof. 2008. A game theoretic model for airline revenue management and competitive pricing. Journal of Revenue and Pricing Management 7 (4): 384–396. https://doi.org/10.1057/rpm.2008.30 .

Israeli, Ayelet, Fiona Scott-Morton, Jorge Silva-Risso, and Florian Zettelmeyer. 2022. How market power affects dynamic pricing: Evidence from inventory fluctuations at car dealerships. Management Science 68 (2): 895–916. https://doi.org/10.1287/mnsc.2021.3967 .

Ittoo, Ashwin, and Nicolas Petit. 2017. Algorithmic pricing agents and tacit collusion: A technological perspective. SSRN Electronic Journal . https://doi.org/10.2139/ssrn.3046405 .

Janssen, Maarten C. W., and José Luis Moraga-González. 2004. Strategic pricing, consumer search and the number of firms. Review of Economic Studies 71 (4): 1089–1118. https://doi.org/10.1111/0034-6527.00315 .

Jerath, Kinshuk, Serguei Netessine, and Senthil K. Veeraraghavan. 2010. Revenue management with strategic customers: Last-minute selling and opaque selling. Management Science 56 (3): 430–448. https://doi.org/10.1287/mnsc.1090.1125 .

Kachani, Shmatov, Soulaymane Kachani, and Kyrylo Shmatov. 2010. Competitive pricing in a multi-product multi-attribute environment. Production and Operations Management 20 (5): 668–680. https://doi.org/10.1111/j.1937-5956.2010.01195.x .

Kastius, Alexander, and Rainer Schlosser. 2022. Dynamic pricing under competition using reinforcement learning. Journal of Revenue and Pricing Management 21 (1): 50–63. https://doi.org/10.1057/s41272-021-00285-3 .

Keskin, N. Bora, and Assaf Zeevi. 2017. Chasing demand: Learning and earning in a changing environment. Mathematics of Operations Research 42 (2): 277–307. https://doi.org/10.1287/moor.2016.0807 .

Kim, Jun B., Paulo Albuquerque, and Bart J. Bronnenberg. 2011. Mapping online consumer search. Journal of Marketing Research 48 (1): 13–27. https://doi.org/10.1509/jmkr.48.1.13 .

Koças, Cenk. 2005. A model of internet pricing under price-comparison shopping. International Journal of Electronic Commerce 10 (1): 111–134. https://doi.org/10.1080/10864415.2005.11043959 .

Könönen, Ville. 2006. Dynamic pricing based on asymmetric multiagent reinforcement learning. International Journal of Intelligent Systems 21 (1): 73–98. https://doi.org/10.1002/int.20121 .

Kopalle, Praveen, Dipayan Biswas, Pradeep K. Chintagunta, Jia Fan, Koen Pauwels, Brian T. Ratchford, and James A. Sills. 2009. Retailer pricing and competitive effects. Journal of Retailing 85 (1): 56–70. https://doi.org/10.1016/j.jretai.2008.11.005 .

Kutschinski, Erich, Thomas Uthmann, and Daniel Polani. 2003. Learning competitive pricing strategies by multi-agent reinforcement learning. Journal of Economic Dynamics and Control 27 (11): 2207–2218. https://doi.org/10.1016/S0165-1889(02)00122-7 .

Lal, Rajiv, and Ram Rao. 1997. Supermarket competition: The case of every day low pricing. Marketing Science 16 (1): 60–80. https://doi.org/10.1287/mksc.16.1.60 .

Lal, Rajiv, and Miklos Sarvary. 1999. When and how is the internet likely to decrease price competition? Marketing Science 18 (4): 485–503. https://doi.org/10.1287/mksc.18.4.485 .

Lancaster, Kelvin. 1979. Variety, equity, and efficiency: Product variety in an industrial society . New York: Columbia University Press.

Book   Google Scholar  

Larson, Ronald B. 2019. Promoting demand-based pricing. Journal of Revenue and Pricing Management 18 (1): 42–51. https://doi.org/10.1057/s41272-017-0126-9 .

Le Chen, Alan Mislove, and Christo Wilson. 2016. An empirical analysis of algorithmic pricing on Amazon Marketplace. In Proceedings of the 25th International Conference on World Wide Web - WWW '16 , 1339–1349, Montreal. 11-Apr-16 - 15-Apr-16. New York: ACM Press. https://doi.org/10.1145/2872427.2883089

Lebow, Sara. 2019. Worldwide ecommerce continues double-digit growth following pandemic push to online. https://www.emarketer.com/content/worldwide-ecommerce-continues-double-digit-growth-following-pandemic-push-online . Accessed 14 March 2022.

Lee, Khai Sheang, and Soo Jiuan Tan. 2003. E-retailing versus physical retailing. A theoretical model and empirical test of consumer choice. Journal of Business Research 56 (11): 877–885. https://doi.org/10.1016/S0148-2963(01)00274-0 .

Lee, Thomas Y., and Eric T. Bradlow. 2011. Automated marketing research using online customer reviews. Journal of Marketing Research 48 (5): 881–894. https://doi.org/10.1509/jmkr.48.5.881 .

Levin, Yuri, Jeff McGill, and Mikhail Nediak. 2008. Risk in revenue management and dynamic pricing. Operations Research 56 (2): 326–343. https://doi.org/10.1287/opre.1070.0438 .

Levin, Yuri, Jeff McGill, and Mikhail Nediak. 2009. Dynamic pricing in the presence of strategic consumers and oligopolistic competition. Management Science 55: 32–46. https://doi.org/10.1287/mnsc.1080.0936 .

Li, Jun, Serguei Netessine, and Sergei Koulayev. 2017. Price to compete… with many: How to identify price competition in high-dimensional space. Management Science 64 (9): 4118–4136. https://doi.org/10.1287/mnsc.2017.2820 .

Li, Michael Z. F., Anming Zhang, and Yimin Zhang. 2008. Airline seat allocation competition. International Transactions in Operational Research 15 (4): 439–459. https://doi.org/10.1111/j.1475-3995.2008.00642.x .

Lin, Yen-Ting, Ali K. Parlaktürk, and Jayashankar M. Swaminathan. 2014. Vertical integration under competition: Forward, backward, or no integration? Production and Operations Management 23 (1): 19–35. https://doi.org/10.1111/poms.12030 .

Lin, Kyle Y., and Soheil Y. Sibdari. 2009. Dynamic price competition with discrete customer choices. European Journal of Operational Research 197 (3): 969–980. https://doi.org/10.1016/j.ejor.2007.12.040 .

Liozu, Stephan. 2015. The pricing journey: The organizational transformation toward pricing excellence . Stanford: Stanford Business Books.

Lippman, Steven A., and Kevin F. McCardle. 1997. The competitive newsboy. Operations Research 45 (1): 54–65. https://doi.org/10.1287/opre.45.1.54 .

Liu, Qian, and Dan Zhang. 2013. Dynamic pricing competition with strategic customers under vertical product differentiation. Management Science 59 (1): 84–101. https://doi.org/10.1287/mnsc.1120.1564 .

Loginova, Oksana. 2021. Price competition online: Platforms versus branded websites. Journal of Economics and Management Strategy . https://doi.org/10.1111/jems.12461 .

Mantin, Benny, Daniel Granot, and Frieda Granot. 2011. Dynamic pricing under first order Markovian competition. Naval Research Logistics 58 (6): 608–617. https://doi.org/10.1002/nav.20470 .

Martínez-de-Albéniz, Victor, and Kalyan Talluri. 2011. Dynamic price competition with fixed capacities. Management Science 57 (6): 1078–1093. https://doi.org/10.1287/mnsc.1110.1337 .

Maskin, Eric, and Jean Tirole. 1988. A theory of dynamic oligopoly, II: Price competition, kinked demand curves, and edgeworth cycles. Econometrica 56 (3): 571–599. https://doi.org/10.2307/1911701 .

Matsubayashi, Nobuo, and Yoshiyasu Yamada. 2008. A note on price and quality competition between asymmetric firms. European Journal of Operational Research 187 (2): 571–581. https://doi.org/10.1016/j.ejor.2007.03.021 .

McGill, Jeffrey I., and Garrett J. van Ryzin. 1999. Revenue management: Research overview and prospects. Transportation Science 33 (2): 233–256. https://doi.org/10.1287/trsc.33.2.233 .

Miklós-Thal, Jeanine, and Catherine Tucker. 2019. Collusion by algorithm: Does better demand prediction facilitate coordination between sellers? Management Science 65 (4): 1552–1561. https://doi.org/10.1287/mnsc.2019.3287 .

Mitra, Subrata. 2021. Economic models of price competition between traditional and online retailing under showrooming. Decision . https://doi.org/10.1007/s40622-021-00293-7 .

Mizuno, Toshihide. 2003. On the existence of a unique price equilibrium for models of product differentiation. International Journal of Industrial Organization 21 (6): 761–793. https://doi.org/10.1016/S0167-7187(03)00017-1 .

Mookherjee, Reetabrata, and Terry L. Friesz. 2008. Pricing, allocation, and overbooking in dynamic service network competition when demand is uncertain. Production and Operations Management 17 (4): 455–474. https://doi.org/10.3401/poms.1080.0042 .

Moorthy, K. Sridhar. 1988. Product and price competition in a duopoly. Marketing Science 7 (2): 141–168. https://doi.org/10.1287/mksc.7.2.141 .

Motta, Massimo. 1993. Endogenous quality choice: Price vs. quantity competition. The Journal of Industrial Economics 41 (2): 113–131. https://doi.org/10.2307/2950431 .

Nalca, Arcan, Tamer Boyaci, and Saibal Ray. 2010. Competitive price-matching guarantees under imperfect store availability. Quantitative Marketing and Economics 8 (3): 275–300. https://doi.org/10.1007/s11129-010-9080-1 .

Netessine, Serguei, and Robert A. Shumsky. 2005. Revenue management games: Horizontal and vertical competition. Management Science 51 (5): 813–831. https://doi.org/10.1287/mnsc.1040.0356 .

Netzer, Oded, Ronen Feldman, Jacob Goldenberg, and Moshe Fresko. 2012. Mine your own business: Market-structure surveillance through text mining. Marketing Science 31 (3): 521–543. https://doi.org/10.1287/mksc.1120.0713 .

Nip, Kameng, Changjun Wang, and Zizhuo Wang. 2020. Competitive and cooperative assortment games under Markov chain choice model. SSRN Electronic Journal . https://doi.org/10.2139/ssrn.3607722 .

Noel, Michael D. 2007. Edgeworth price cycles, cost-based pricing, and sticky pricing in retail gasoline markets. Review of Economics and Statistics 89 (2): 324–334. https://doi.org/10.1162/rest.89.2.324 .

Obermeyer, Andy, Christos Evangelinos, and Ronny Püschel. 2013. Price dispersion and competition in European airline markets. Journal of Air Transport Management 26 (1): 31–34. https://doi.org/10.1016/j.jairtraman.2012.08.014 .

Olivares, Marcelo, and Gérard. P. Cachon. 2009. Competing retailers and inventory: An empirical investigation of General Motors’ dealerships in isolated U.S. markets. Management Science 55 (9): 1586–1604. https://doi.org/10.1287/mnsc.1090.1050 .

Parlar, Mahmut. 1988. Game theoretic analysis of the substitutable product inventory problem with random demands. Naval Research Logistics 35 (3): 397–409. https://doi.org/10.1002/1520-6750(198806)35:3%3c397:AID-NAV3220350308%3e3.0.CO;2-Z .

Penz, Elfriede, and Margaret K. Hogg. 2011. The role of mixed emotions in consumer behaviour. European Journal of Marketing 45 (1): 104–132. https://doi.org/10.1108/03090561111095612 .

Perakis, Georgia, and Anshul Sood. 2006. Competitive multi-period pricing for perishable products: A robust optimization approach. Mathematical Programming 107 (1–2): 295–335. https://doi.org/10.1007/s10107-005-0688-y .

Perloff, Jeffrey M., and Steven C. Salop. 1985. Equilibrium with product differentiation. Review of Economic Studies 52 (1): 107. https://doi.org/10.2307/2297473 .

Phillips, Robert L. 2021. Pricing and revenue optimization , 2nd ed. Stanford: Stanford Business Books.

Pigou, Arthur Cecil. 1920. The economics of welfare . London: Macmillan & co.

Popescu, Dana. 2015. Repricing algorithms in e-commerce. Technology and Operations Management (Working Paper No. 2015/75/TOM). https://doi.org/10.2139/ssrn.2669997 .

Putsis, William, and Ravi Dhar. 1998. The many faces of competition. Marketing Letters 9 (3): 269–284. https://doi.org/10.1023/A:1008072222645 .

Ratchford, Brian T. 2009. Online pricing: Review and directions for research. Journal of Interactive Marketing 23 (1): 82–90. https://doi.org/10.1016/j.intmar.2008.11.001 .

Richards, Timothy J., and Stephen F. Hamilton. 2006. Rivalry in price and variety among supermarket retailers. American Journal of Agricultural Economics 88 (3): 710–726. https://doi.org/10.1111/j.1467-8276.2006.00890.x .

Ringel, Daniel M., and Bernd Skiera. 2016. Visualizing asymmetric competition among more than 1,000 products using big search data. Marketing Science 35 (3): 511–534. https://doi.org/10.1287/mksc.2015.0950 .

Ryan, Jennifer K., Daewon Sun, and Xuying Zhao. 2012. Competition and coordination in online marketplaces. Production and Operations Management 21 (6): 997–1014. https://doi.org/10.1111/j.1937-5956.2012.01332.x .

Salop, Steven C. 1976. Information and monopolistic competition. American Economic Review 66 (2): 240–245.

Sarkar, Amit, and Brojeswar Pal. 2021. Competitive pricing strategies of multi channel supply chain under direct servicing by the manufacturer. RAIRO Operations Research 55 (1): 1849–1873. https://doi.org/10.1051/ro/2020063 .

Scarpi, Daniele, Gabriele Pizzi, and Marco Visentin. 2014. Shopping for fun or shopping to buy: Is it different online and offline? Journal of Retailing and Consumer Services 21 (3): 258–267. https://doi.org/10.1016/j.jretconser.2014.02.007 .

Schinkel, Maarten Pieter, Jan Tuinstra, and Dries Vermeulen. 2002. Convergence of Bayesian learning to general equilibrium in mis-specified models. Journal of Mathematical Economics 38 (4): 483–508. https://doi.org/10.1016/S0304-4068(02)00062-9 .

Schlereth, Christian, Bernd Skiera, and Fabian Schulz. 2018. Why do consumers prefer static instead of dynamic pricing plans? An empirical study for a better understanding of the low preferences for time-variant pricing plans. European Journal of Operational Research 269 (3): 1165–1179. https://doi.org/10.1016/j.ejor.2018.03.033 .

Schlosser, Rainer, and Martin Boissier. 2018. Dealing with the dimensionality curse in dynamic pricing competition: Using frequent repricing to compensate imperfect market anticipations. Computers and Operations Research 100: 26–42. https://doi.org/10.1016/j.cor.2018.07.011 .

Schlosser, Rainer, Martin Boissier, Andre Schober, and Matthias Uflacker. 2016. How to survive dynamic pricing competition in e-commerce. In Proceedings of the 10th ACM conference on recommender systems, Boston. 15-Sept-16 to 19-Sept-16. New York: Association for Computing Machinery.

Schlosser, Rainer, and Keven Richly. 2019. Dynamic pricing under competition with data-driven price anticipations and endogenous reference price effects. Journal of Revenue and Pricing Management 18: 451–464. https://doi.org/10.1057/s41272-019-00206-5 .

Serth, Sebastian, Nikolai Podlesney, Marvin Bornstein, Jan Lindemann, Johanna Lattt, Jan Selke, Rainer Schlosser, Martin Boissier, and Matthias Uflacker. 2017. An interactive platform to simulate dynamic pricing competition on online marketplaces. In IEEE 21st International Enterprise Distributed Object Computing Conference , 61–66, Quebec City, Canada. 10-Oct-17 to 13-Oct-17. https://doi.org/10.1109/EDOC.2017.17 .

Shugan, Steven M. 2002. Editorial: Marketing science, models, monopoly models, and why we need them. Marketing Science 21 (3): 223–228. https://doi.org/10.1287/mksc.21.3.223.145 .

Siegert, Caspar, and Robert Ulbricht. 2020. Dynamic oligopoly pricing: Evidence from the airline industry. International Journal of Industrial Organization 71: 102639. https://doi.org/10.1016/j.ijindorg.2020.102639 .

Simon, Hermann. 1979. Dynamics of price elasticity and brand life cycles: An empirical study. Journal of Marketing Research 16 (4): 439–452. https://doi.org/10.1177/002224377901600401 .

Smith, Michael D., and Erik Brynjolfsson. 2001. Consumer decision-making at an internet shopbot: Brand still matters. The Journal of Industrial Economics 49 (4): 541–558. https://doi.org/10.1111/1467-6451.00162 .

Stigler, George J. 1957. Perfect competition, historically contemplated. Journal of Political Economy 65 (1): 1–17. https://doi.org/10.1086/257878 .

Stiglitz, Joseph E. 1979. Equilibrium in product markets with imperfect information. American Economic Review 69 (2): 339–345.

Sun, Haoying, and Stephen M. Gilbert. 2019. Retail price competition with product fit uncertainty and assortment selection. Production and Operations Management 28 (7): 1658–1673. https://doi.org/10.1111/poms.13005 .

Talluri, Kalyan T., and Garrett J. van Ryzin. 2004. The theory and practice of revenue management . Boston: Springer.

Thomadsen, Raphael. 2007. Product positioning and competition: The role of location in the fast food industry. Marketing Science 26 (6): 792–804. https://doi.org/10.1287/mksc.1070.0296 .

Tranfield, David, David Denyer, and Palminder Smart. 2003. Towards a methodology for developing evidence-informed management knowledge by means of systematic review. British Journal of Management 14 (3): 207–222. https://doi.org/10.1111/1467-8551.00375 .

Tuinstra. 2004. A price adjustment process in a model of monopolistic competition. International Game Theory Review 6 (3): 417–442. https://doi.org/10.1142/S0219198904000289 .

van de Geer, Ruben, Arnoud V. den Boer, Christopher Bayliss, Christine S. M. Currie, Andria Ellina, Malte Esders, Alwin Haensel, Xiao Lei, Kyle D. S. Maclean, Antonio Martinez-Sykora, Asbjørn Nilsen Riseth, Fredrik Ødegaard, and Simos Zachariades. 2019. Dynamic pricing and learning with competition: Insights from the dynamic pricing challenge at the 2017 INFORMS RM and pricing conference. Journal of Revenue and Pricing Management 18 (3): 185–203. https://doi.org/10.1057/s41272-018-00164-4 .

van Mieghem, Jan A., and Maqbool Dada. 1999. Price versus production postponement: Capacity and competition. Management Science 45 (12): 1639–1649. https://doi.org/10.1287/mnsc.45.12.1631 .

Villas-Boas, J. Miguel. 1999. Dynamic competition with customer recognition. RAND Journal of Economics 30 (4): 604–631. https://doi.org/10.2307/2556067 .

Villas-Boas, J. Miguel. 2004. Consumer learning, brand loyalty, and competition. Marketing Science 23 (1): 134–145. https://doi.org/10.1287/mksc.1030.0044 .

Villas-Boas, J. Miguel. 2006. Dynamic competition with experience goods. Journal of Economics and Management Strategy 15 (1): 37–66. https://doi.org/10.1111/j.1530-9134.2006.00091.x .

Villas-Boas, J. Miguel, and Russell S. Winer. 1999. Endogeneity in brand choice models. Management Science 45 (10): 1324–1338. https://doi.org/10.1287/mnsc.45.10.1324 .

Vinod, Balakrishna. 2020. Advances in revenue management: The last frontier. Journal of Revenue and Pricing Management 20: 15–20. https://doi.org/10.1057/s41272-020-00264-0 .

Viswanathan, Siva. 2005. Competing across technology-differentiated channels: The impact of network externalities and switching costs. Management Science 51 (3): 483–496. https://doi.org/10.1287/mnsc.1040.0338 .

Vives, Xavier. 2001. Oligopoly pricing: Old ideas and new tools . London: MIT Press.

von Stackelberg, Heinrich. 2011. Market structure and equilibrium . Berlin: Springer.

Wang, Zizhuo, and Hu Ming. 2014. Committed versus contingent pricing under competition. Production and Operations Management 23 (11): 1919–1936. https://doi.org/10.1111/poms.12202 .

Wang, Sujuan, Hu Qiying, and Liu Weiqi. 2017. Price and quality-based competition and channel structure with consumer loyalty. European Journal of Operational Research 262 (2): 563–574. https://doi.org/10.1016/j.ejor.2017.03.052 .

Wang, Yongzhao, and Xiaojie Sun. 2019. Dynamic vs. static wholesale pricing strategies in a dual-channel green supply chain. Complexity 13: 1–14. https://doi.org/10.1155/2019/8497070 .

Wang, Ningning, Ting Zhang, Xiaowei Zhu, and Peimiao Li. 2020. Online-offline competitive pricing with reference price effect. Journal of the Operational Research Society 72 (3): 642–653. https://doi.org/10.1080/01605682.2019.1696154 .

Wang, Wenche, Fan Li, and Yujia Zhang. 2021. Price discount and price dispersion in online market: Do more firms still lead to more competition? Journal of Theoretical and Applied Electronic Commerce Research 16 (2): 164–178. https://doi.org/10.4067/S0718-18762021000200111 .

Weatherford, Lawrence R., and Samuel E. Bodily. 1992. A taxonomy and research overview of perishable-asset revenue management: Yield management, overbooking, and pricing. Operations Research 40 (5): 831–844. https://doi.org/10.1287/opre.40.5.831 .

Weintraub, Gabriel Y., C. Lanier Benkard, and Benjamin van Roy. 2008. Markov perfect industry dynamics with many firms. Econometrica 76 (6): 1375–1411. https://doi.org/10.3982/ECTA6158 .

Wenzelburger, J. 2004. Learning to play best response in duopoly games. International Game Theory Review 6 (3): 443–459. https://doi.org/10.1142/S0219198904000290 .

Won, Eugene J. S., Oh. Yun Kyung, and Joon Yeon Choeh. 2022. Analyzing competitive market structures based on online consumer-generated content and sales data. Asia Pacific Journal of Marketing and Logistics Advance Online Publication . https://doi.org/10.1108/APJML-08-2021-0616 .

Wu, Lin-Liang Bill, and Desheng Wu. 2016. Dynamic pricing and risk analytics under competition and stochastic reference price effects. IEEE Transactions on Industrial Informatics 12 (3): 1282–1293. https://doi.org/10.1109/TII.2015.2507141 .

Xu, Xiaowei, and Wallace J. Hopp. 2006. A monopolistic and oligopolistic stochastic flow revenue management model. Operations Research 54 (6): 1098–1109. https://doi.org/10.1287/opre.1060.0336 .

Yang, Jian, and Yusen Xia. 2013. A nonatomic-game approach to dynamic pricing under competition. Production and Operations Management 22 (1): 88–103. https://doi.org/10.1111/j.1937-5956.2012.01334.x .

Yang, Yongge, Yu-Ching Lee, and Po-An Chen. 2020. Competitive demand learning: a data-driven pricing algorithm. Cornell University (Working Paper). https://doi.org/10.48550/arxiv.2008.05195 .

Yano, Makoto, and Takashi Komatsubara. 2006. Endogenous price leadership and technological differences. International Journal of Economic Theory 2 (3–4): 365–383. https://doi.org/10.1111/j.1742-7363.2006.0041.x .

Yano, Makoto, and Takashi Komatsubara. 2018. Price competition or price leadership. Economic Theory 66 (4): 1023–1057. https://doi.org/10.1007/s00199-017-1080-x .

Yao, Dong-Qing, and John J. Liu. 2005. Competitive pricing of mixed retail and e-tail distribution channels. Omega 33 (3): 235–247. https://doi.org/10.1016/j.omega.2004.04.007 .

Young, Jessica. 2022. US ecommerce grows 14.2% in 2021. https://www.digitalcommerce360.com/article/us-ecommerce-sales/ . Accessed 14 March 2022.

Zhang, Jianxiong, Liyan Lei, Shichen Zhang, and Lijun Song. 2017. Dynamic vs. static pricing in a supply chain with advertising. Computers & Industrial Engineering 109 (1): 266–279. https://doi.org/10.1016/j.cie.2017.05.006 .

Zhang, Ting, Ling Ge, Qinglong Gou, and Li-Wen Chen. 2018a. Consumer showrooming, the sunk cost effect and online-offline competition. Journal of Electronic Commerce Research 19 (1): 55–74.

Zhang, Zhichao, Qing Zhang, Zhi Liu, and Xiaoxue Zheng. 2018b. Static and dynamic pricing strategies in a closed-loop supply chain with reference quality effects. Sustainability 10 (1): 157. https://doi.org/10.3390/su10010157 .

Zhao, Xuan, Derek Atkins, Hu Ming, and Wensi Zhang. 2017. Revenue management under joint pricing and capacity allocation competition. European Journal of Operational Research 257 (3): 957–970. https://doi.org/10.1016/j.ejor.2016.08.025 .

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Gerpott, T.J., Berends, J. Competitive pricing on online markets: a literature review. J Revenue Pricing Manag 21 , 596–622 (2022). https://doi.org/10.1057/s41272-022-00390-x

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How To Write An A-Grade Literature Review

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• Outlining & writing up your literature review
• Example of a literature review

But first, the “why”…

Before we unpack how to write the literature review chapter, we’ve got to look at the why . To put it bluntly, if you don’t understand the function and purpose of the literature review process, there’s no way you can pull it off well. So, what exactly is the purpose of the literature review?

Well, there are (at least) four core functions:

• For you to gain an understanding (and demonstrate this understanding) of where the research is at currently, what the key arguments and disagreements are.
• For you to identify the gap(s) in the literature and then use this as justification for your own research topic.
• To help you build a conceptual framework for empirical testing (if applicable to your research topic).
• To inform your methodological choices and help you source tried and tested questionnaires (for interviews ) and measurement instruments (for surveys ).

Most students understand the first point but don’t give any thought to the rest. To get the most from the literature review process, you must keep all four points front of mind as you review the literature (more on this shortly), or you’ll land up with a wonky foundation.

Okay – with the why out the way, let’s move on to the how . As mentioned above, writing your literature review is a process, which I’ll break down into three steps:

• Finding the most suitable literature
• Understanding , distilling and organising the literature
• Planning and writing up your literature review chapter

Importantly, you must complete steps one and two before you start writing up your chapter. I know it’s very tempting, but don’t try to kill two birds with one stone and write as you read. You’ll invariably end up wasting huge amounts of time re-writing and re-shaping, or you’ll just land up with a disjointed, hard-to-digest mess . Instead, you need to read first and distil the information, then plan and execute the writing.

Step 1: Find the relevant literature

Naturally, the first step in the literature review journey is to hunt down the existing research that’s relevant to your topic. While you probably already have a decent base of this from your research proposal , you need to expand on this substantially in the dissertation or thesis itself.

Essentially, you need to be looking for any existing literature that potentially helps you answer your research question (or develop it, if that’s not yet pinned down). There are numerous ways to find relevant literature, but I’ll cover my top four tactics here. I’d suggest combining all four methods to ensure that nothing slips past you:

Method 1 – Google Scholar Scrubbing

Google’s academic search engine, Google Scholar , is a great starting point as it provides a good high-level view of the relevant journal articles for whatever keyword you throw at it. Most valuably, it tells you how many times each article has been cited, which gives you an idea of how credible (or at least, popular) it is. Some articles will be free to access, while others will require an account, which brings us to the next method.

Method 2 – University Database Scrounging

Generally, universities provide students with access to an online library, which provides access to many (but not all) of the major journals.

So, if you find an article using Google Scholar that requires paid access (which is quite likely), search for that article in your university’s database – if it’s listed there, you’ll have access. Note that, generally, the search engine capabilities of these databases are poor, so make sure you search for the exact article name, or you might not find it.

Method 3 – Journal Article Snowballing

At the end of every academic journal article, you’ll find a list of references. As with any academic writing, these references are the building blocks of the article, so if the article is relevant to your topic, there’s a good chance a portion of the referenced works will be too. Do a quick scan of the titles and see what seems relevant, then search for the relevant ones in your university’s database.

Method 4 – Dissertation Scavenging

Similar to Method 3 above, you can leverage other students’ dissertations. All you have to do is skim through literature review chapters of existing dissertations related to your topic and you’ll find a gold mine of potential literature. Usually, your university will provide you with access to previous students’ dissertations, but you can also find a much larger selection in the following databases:

• Open Access Theses & Dissertations
• Stanford SearchWorks

Keep in mind that dissertations and theses are not as academically sound as published, peer-reviewed journal articles (because they’re written by students, not professionals), so be sure to check the credibility of any sources you find using this method. You can do this by assessing the citation count of any given article in Google Scholar. If you need help with assessing the credibility of any article, or with finding relevant research in general, you can chat with one of our Research Specialists .

Alright – with a good base of literature firmly under your belt, it’s time to move onto the next step.

Need a helping hand?

Step 2: Log, catalogue and synthesise

Once you’ve built a little treasure trove of articles, it’s time to get reading and start digesting the information – what does it all mean?

While I present steps one and two (hunting and digesting) as sequential, in reality, it’s more of a back-and-forth tango – you’ll read a little , then have an idea, spot a new citation, or a new potential variable, and then go back to searching for articles. This is perfectly natural – through the reading process, your thoughts will develop , new avenues might crop up, and directional adjustments might arise. This is, after all, one of the main purposes of the literature review process (i.e. to familiarise yourself with the current state of research in your field).

As you’re working through your treasure chest, it’s essential that you simultaneously start organising the information. There are three aspects to this:

• Logging reference information
• Building an organised catalogue
• Distilling and synthesising the information

I’ll discuss each of these below:

2.1 – Log the reference information

As you read each article, you should add it to your reference management software. I usually recommend Mendeley for this purpose (see the Mendeley 101 video below), but you can use whichever software you’re comfortable with. Most importantly, make sure you load EVERY article you read into your reference manager, even if it doesn’t seem very relevant at the time.

2.2 – Build an organised catalogue

In the beginning, you might feel confident that you can remember who said what, where, and what their main arguments were. Trust me, you won’t. If you do a thorough review of the relevant literature (as you must!), you’re going to read many, many articles, and it’s simply impossible to remember who said what, when, and in what context . Also, without the bird’s eye view that a catalogue provides, you’ll miss connections between various articles, and have no view of how the research developed over time. Simply put, it’s essential to build your own catalogue of the literature.

I would suggest using Excel to build your catalogue, as it allows you to run filters, colour code and sort – all very useful when your list grows large (which it will). How you lay your spreadsheet out is up to you, but I’d suggest you have the following columns (at minimum):

• Author, date, title – Start with three columns containing this core information. This will make it easy for you to search for titles with certain words, order research by date, or group by author.
• Categories or keywords – You can either create multiple columns, one for each category/theme and then tick the relevant categories, or you can have one column with keywords.
• Key arguments/points – Use this column to succinctly convey the essence of the article, the key arguments and implications thereof for your research.
• Context – Note the socioeconomic context in which the research was undertaken. For example, US-based, respondents aged 25-35, lower- income, etc. This will be useful for making an argument about gaps in the research.
• Methodology – Note which methodology was used and why. Also, note any issues you feel arise due to the methodology. Again, you can use this to make an argument about gaps in the research.
• Quotations – Note down any quoteworthy lines you feel might be useful later.
• Notes – Make notes about anything not already covered. For example, linkages to or disagreements with other theories, questions raised but unanswered, shortcomings or limitations, and so forth.

If you’d like, you can try out our free catalog template here (see screenshot below).

2.3 – Digest and synthesise

Most importantly, as you work through the literature and build your catalogue, you need to synthesise all the information in your own mind – how does it all fit together? Look for links between the various articles and try to develop a bigger picture view of the state of the research. Some important questions to ask yourself are:

• What answers does the existing research provide to my own research questions ?
• Which points do the researchers agree (and disagree) on?
• How has the research developed over time?
• Where do the gaps in the current research lie?

To help you develop a big-picture view and synthesise all the information, you might find mind mapping software such as Freemind useful. Alternatively, if you’re a fan of physical note-taking, investing in a large whiteboard might work for you.

Step 3: Outline and write it up!

Once you’re satisfied that you have digested and distilled all the relevant literature in your mind, it’s time to put pen to paper (or rather, fingers to keyboard). There are two steps here – outlining and writing:

3.1 – Draw up your outline

Having spent so much time reading, it might be tempting to just start writing up without a clear structure in mind. However, it’s critically important to decide on your structure and develop a detailed outline before you write anything. Your literature review chapter needs to present a clear, logical and an easy to follow narrative – and that requires some planning. Don’t try to wing it!

Naturally, you won’t always follow the plan to the letter, but without a detailed outline, you’re more than likely going to end up with a disjointed pile of waffle , and then you’re going to spend a far greater amount of time re-writing, hacking and patching. The adage, “measure twice, cut once” is very suitable here.

In terms of structure, the first decision you’ll have to make is whether you’ll lay out your review thematically (into themes) or chronologically (by date/period). The right choice depends on your topic, research objectives and research questions, which we discuss in this article .

Once that’s decided, you need to draw up an outline of your entire chapter in bullet point format. Try to get as detailed as possible, so that you know exactly what you’ll cover where, how each section will connect to the next, and how your entire argument will develop throughout the chapter. Also, at this stage, it’s a good idea to allocate rough word count limits for each section, so that you can identify word count problems before you’ve spent weeks or months writing!

PS – check out our free literature review chapter template…

3.2 – Get writing

With a detailed outline at your side, it’s time to start writing up (finally!). At this stage, it’s common to feel a bit of writer’s block and find yourself procrastinating under the pressure of finally having to put something on paper. To help with this, remember that the objective of the first draft is not perfection – it’s simply to get your thoughts out of your head and onto paper, after which you can refine them. The structure might change a little, the word count allocations might shift and shuffle, and you might add or remove a section – that’s all okay. Don’t worry about all this on your first draft – just get your thoughts down on paper.

Once you’ve got a full first draft (however rough it may be), step away from it for a day or two (longer if you can) and then come back at it with fresh eyes. Pay particular attention to the flow and narrative – does it fall fit together and flow from one section to another smoothly? Now’s the time to try to improve the linkage from each section to the next, tighten up the writing to be more concise, trim down word count and sand it down into a more digestible read.

Once you’ve done that, give your writing to a friend or colleague who is not a subject matter expert and ask them if they understand the overall discussion. The best way to assess this is to ask them to explain the chapter back to you. This technique will give you a strong indication of which points were clearly communicated and which weren’t. If you’re working with Grad Coach, this is a good time to have your Research Specialist review your chapter.

Finally, tighten it up and send it off to your supervisor for comment. Some might argue that you should be sending your work to your supervisor sooner than this (indeed your university might formally require this), but in my experience, supervisors are extremely short on time (and often patience), so, the more refined your chapter is, the less time they’ll waste on addressing basic issues (which you know about already) and the more time they’ll spend on valuable feedback that will increase your mark-earning potential.

Literature Review Example

In the video below, we unpack an actual literature review so that you can see how all the core components come together in reality.

Let’s Recap

In this post, we’ve covered how to research and write up a high-quality literature review chapter. Let’s do a quick recap of the key takeaways:

• It is essential to understand the WHY of the literature review before you read or write anything. Make sure you understand the 4 core functions of the process.
• The first step is to hunt down the relevant literature . You can do this using Google Scholar, your university database, the snowballing technique and by reviewing other dissertations and theses.
• Next, you need to log all the articles in your reference manager , build your own catalogue of literature and synthesise all the research.
• Following that, you need to develop a detailed outline of your entire chapter – the more detail the better. Don’t start writing without a clear outline (on paper, not in your head!)
• Write up your first draft in rough form – don’t aim for perfection. Remember, done beats perfect.
• Refine your second draft and get a layman’s perspective on it . Then tighten it up and submit it to your supervisor.

Psst… there’s more!

This post is an extract from our bestselling Udemy Course, Literature Review Bootcamp . If you want to work smart, you don't want to miss this .

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38 Comments

Thank you very much. This page is an eye opener and easy to comprehend.

This is awesome!

I wish I come across GradCoach earlier enough.

But all the same I’ll make use of this opportunity to the fullest.

Thank you for this good job.

Keep it up!

You’re welcome, Yinka. Thank you for the kind words. All the best writing your literature review.

Thank you for a very useful literature review session. Although I am doing most of the steps…it being my first masters an Mphil is a self study and one not sure you are on the right track. I have an amazing supervisor but one also knows they are super busy. So not wanting to bother on the minutae. Thank you.

You’re most welcome, Renee. Good luck with your literature review 🙂

This has been really helpful. Will make full use of it. 🙂

Thank you Gradcoach.

Really agreed. Admirable effort

thank you for this beautiful well explained recap.

Thank you so much for your guide of video and other instructions for the dissertation writing.

It is instrumental. It encouraged me to write a dissertation now.

Thank you the video was great – from someone that knows nothing thankyou

an amazing and very constructive way of presetting a topic, very useful, thanks for the effort,

It is timely

It is very good video of guidance for writing a research proposal and a dissertation. Since I have been watching and reading instructions, I have started my research proposal to write. I appreciate to Mr Jansen hugely.

I learn a lot from your videos. Very comprehensive and detailed.

Thank you for sharing your knowledge. As a research student, you learn better with your learning tips in research

I was really stuck in reading and gathering information but after watching these things are cleared thanks, it is so helpful.

Really helpful, Thank you for the effort in showing such information

This is super helpful thank you very much.

Thank you for this whole literature writing review.You have simplified the process.

I’m so glad I found GradCoach. Excellent information, Clear explanation, and Easy to follow, Many thanks Derek!

You’re welcome, Maithe. Good luck writing your literature review 🙂

Thank you Coach, you have greatly enriched and improved my knowledge

Great piece, so enriching and it is going to help me a great lot in my project and thesis, thanks so much

This is THE BEST site for ANYONE doing a masters or doctorate! Thank you for the sound advice and templates. You rock!

Thanks, Stephanie 🙂

This is mind blowing, the detailed explanation and simplicity is perfect.

I am doing two papers on my final year thesis, and I must stay I feel very confident to face both headlong after reading this article.

thank you so much.

if anyone is to get a paper done on time and in the best way possible, GRADCOACH is certainly the go to area!

This is very good video which is well explained with detailed explanation

Thank you excellent piece of work and great mentoring

Thanks, it was useful

Thank you very much. the video and the information were very helpful.

Good morning scholar. I’m delighted coming to know you even before the commencement of my dissertation which hopefully is expected in not more than six months from now. I would love to engage my study under your guidance from the beginning to the end. I love to know how to do good job

Thank you so much Derek for such useful information on writing up a good literature review. I am at a stage where I need to start writing my one. My proposal was accepted late last year but I honestly did not know where to start

Like the name of your YouTube implies you are GRAD (great,resource person, about dissertation). In short you are smart enough in coaching research work.

This is a very well thought out webpage. Very informative and a great read.

Very timely.

I appreciate.

Very comprehensive and eye opener for me as beginner in postgraduate study. Well explained and easy to understand. Appreciate and good reference in guiding me in my research journey. Thank you

Thank you. I requested to download the free literature review template, however, your website wouldn’t allow me to complete the request or complete a download. May I request that you email me the free template? Thank you.

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Ten Simple Rules for Writing a Literature Review

Marco pautasso.

1 Centre for Functional and Evolutionary Ecology (CEFE), CNRS, Montpellier, France

2 Centre for Biodiversity Synthesis and Analysis (CESAB), FRB, Aix-en-Provence, France

Literature reviews are in great demand in most scientific fields. Their need stems from the ever-increasing output of scientific publications [1] . For example, compared to 1991, in 2008 three, eight, and forty times more papers were indexed in Web of Science on malaria, obesity, and biodiversity, respectively [2] . Given such mountains of papers, scientists cannot be expected to examine in detail every single new paper relevant to their interests [3] . Thus, it is both advantageous and necessary to rely on regular summaries of the recent literature. Although recognition for scientists mainly comes from primary research, timely literature reviews can lead to new synthetic insights and are often widely read [4] . For such summaries to be useful, however, they need to be compiled in a professional way [5] .

When starting from scratch, reviewing the literature can require a titanic amount of work. That is why researchers who have spent their career working on a certain research issue are in a perfect position to review that literature. Some graduate schools are now offering courses in reviewing the literature, given that most research students start their project by producing an overview of what has already been done on their research issue [6] . However, it is likely that most scientists have not thought in detail about how to approach and carry out a literature review.

Reviewing the literature requires the ability to juggle multiple tasks, from finding and evaluating relevant material to synthesising information from various sources, from critical thinking to paraphrasing, evaluating, and citation skills [7] . In this contribution, I share ten simple rules I learned working on about 25 literature reviews as a PhD and postdoctoral student. Ideas and insights also come from discussions with coauthors and colleagues, as well as feedback from reviewers and editors.

Rule 1: Define a Topic and Audience

How to choose which topic to review? There are so many issues in contemporary science that you could spend a lifetime of attending conferences and reading the literature just pondering what to review. On the one hand, if you take several years to choose, several other people may have had the same idea in the meantime. On the other hand, only a well-considered topic is likely to lead to a brilliant literature review [8] . The topic must at least be:

• interesting to you (ideally, you should have come across a series of recent papers related to your line of work that call for a critical summary),
• an important aspect of the field (so that many readers will be interested in the review and there will be enough material to write it), and
• a well-defined issue (otherwise you could potentially include thousands of publications, which would make the review unhelpful).

Ideas for potential reviews may come from papers providing lists of key research questions to be answered [9] , but also from serendipitous moments during desultory reading and discussions. In addition to choosing your topic, you should also select a target audience. In many cases, the topic (e.g., web services in computational biology) will automatically define an audience (e.g., computational biologists), but that same topic may also be of interest to neighbouring fields (e.g., computer science, biology, etc.).

Rule 2: Search and Re-search the Literature

After having chosen your topic and audience, start by checking the literature and downloading relevant papers. Five pieces of advice here:

• keep track of the search items you use (so that your search can be replicated [10] ),
• keep a list of papers whose pdfs you cannot access immediately (so as to retrieve them later with alternative strategies),
• use a paper management system (e.g., Mendeley, Papers, Qiqqa, Sente),
• define early in the process some criteria for exclusion of irrelevant papers (these criteria can then be described in the review to help define its scope), and
• do not just look for research papers in the area you wish to review, but also seek previous reviews.

The chances are high that someone will already have published a literature review ( Figure 1 ), if not exactly on the issue you are planning to tackle, at least on a related topic. If there are already a few or several reviews of the literature on your issue, my advice is not to give up, but to carry on with your own literature review,

The bottom-right situation (many literature reviews but few research papers) is not just a theoretical situation; it applies, for example, to the study of the impacts of climate change on plant diseases, where there appear to be more literature reviews than research studies [33] .

• discussing in your review the approaches, limitations, and conclusions of past reviews,
• trying to find a new angle that has not been covered adequately in the previous reviews, and
• incorporating new material that has inevitably accumulated since their appearance.

When searching the literature for pertinent papers and reviews, the usual rules apply:

• be thorough,
• use different keywords and database sources (e.g., DBLP, Google Scholar, ISI Proceedings, JSTOR Search, Medline, Scopus, Web of Science), and
• look at who has cited past relevant papers and book chapters.

Rule 3: Take Notes While Reading

If you read the papers first, and only afterwards start writing the review, you will need a very good memory to remember who wrote what, and what your impressions and associations were while reading each single paper. My advice is, while reading, to start writing down interesting pieces of information, insights about how to organize the review, and thoughts on what to write. This way, by the time you have read the literature you selected, you will already have a rough draft of the review.

Of course, this draft will still need much rewriting, restructuring, and rethinking to obtain a text with a coherent argument [11] , but you will have avoided the danger posed by staring at a blank document. Be careful when taking notes to use quotation marks if you are provisionally copying verbatim from the literature. It is advisable then to reformulate such quotes with your own words in the final draft. It is important to be careful in noting the references already at this stage, so as to avoid misattributions. Using referencing software from the very beginning of your endeavour will save you time.

Rule 4: Choose the Type of Review You Wish to Write

After having taken notes while reading the literature, you will have a rough idea of the amount of material available for the review. This is probably a good time to decide whether to go for a mini- or a full review. Some journals are now favouring the publication of rather short reviews focusing on the last few years, with a limit on the number of words and citations. A mini-review is not necessarily a minor review: it may well attract more attention from busy readers, although it will inevitably simplify some issues and leave out some relevant material due to space limitations. A full review will have the advantage of more freedom to cover in detail the complexities of a particular scientific development, but may then be left in the pile of the very important papers “to be read” by readers with little time to spare for major monographs.

There is probably a continuum between mini- and full reviews. The same point applies to the dichotomy of descriptive vs. integrative reviews. While descriptive reviews focus on the methodology, findings, and interpretation of each reviewed study, integrative reviews attempt to find common ideas and concepts from the reviewed material [12] . A similar distinction exists between narrative and systematic reviews: while narrative reviews are qualitative, systematic reviews attempt to test a hypothesis based on the published evidence, which is gathered using a predefined protocol to reduce bias [13] , [14] . When systematic reviews analyse quantitative results in a quantitative way, they become meta-analyses. The choice between different review types will have to be made on a case-by-case basis, depending not just on the nature of the material found and the preferences of the target journal(s), but also on the time available to write the review and the number of coauthors [15] .

Rule 5: Keep the Review Focused, but Make It of Broad Interest

Whether your plan is to write a mini- or a full review, it is good advice to keep it focused 16 , 17 . Including material just for the sake of it can easily lead to reviews that are trying to do too many things at once. The need to keep a review focused can be problematic for interdisciplinary reviews, where the aim is to bridge the gap between fields [18] . If you are writing a review on, for example, how epidemiological approaches are used in modelling the spread of ideas, you may be inclined to include material from both parent fields, epidemiology and the study of cultural diffusion. This may be necessary to some extent, but in this case a focused review would only deal in detail with those studies at the interface between epidemiology and the spread of ideas.

While focus is an important feature of a successful review, this requirement has to be balanced with the need to make the review relevant to a broad audience. This square may be circled by discussing the wider implications of the reviewed topic for other disciplines.

Rule 6: Be Critical and Consistent

Reviewing the literature is not stamp collecting. A good review does not just summarize the literature, but discusses it critically, identifies methodological problems, and points out research gaps [19] . After having read a review of the literature, a reader should have a rough idea of:

• the major achievements in the reviewed field,
• the main areas of debate, and
• the outstanding research questions.

It is challenging to achieve a successful review on all these fronts. A solution can be to involve a set of complementary coauthors: some people are excellent at mapping what has been achieved, some others are very good at identifying dark clouds on the horizon, and some have instead a knack at predicting where solutions are going to come from. If your journal club has exactly this sort of team, then you should definitely write a review of the literature! In addition to critical thinking, a literature review needs consistency, for example in the choice of passive vs. active voice and present vs. past tense.

Rule 7: Find a Logical Structure

Like a well-baked cake, a good review has a number of telling features: it is worth the reader's time, timely, systematic, well written, focused, and critical. It also needs a good structure. With reviews, the usual subdivision of research papers into introduction, methods, results, and discussion does not work or is rarely used. However, a general introduction of the context and, toward the end, a recapitulation of the main points covered and take-home messages make sense also in the case of reviews. For systematic reviews, there is a trend towards including information about how the literature was searched (database, keywords, time limits) [20] .

How can you organize the flow of the main body of the review so that the reader will be drawn into and guided through it? It is generally helpful to draw a conceptual scheme of the review, e.g., with mind-mapping techniques. Such diagrams can help recognize a logical way to order and link the various sections of a review [21] . This is the case not just at the writing stage, but also for readers if the diagram is included in the review as a figure. A careful selection of diagrams and figures relevant to the reviewed topic can be very helpful to structure the text too [22] .

Rule 8: Make Use of Feedback

Reviews of the literature are normally peer-reviewed in the same way as research papers, and rightly so [23] . As a rule, incorporating feedback from reviewers greatly helps improve a review draft. Having read the review with a fresh mind, reviewers may spot inaccuracies, inconsistencies, and ambiguities that had not been noticed by the writers due to rereading the typescript too many times. It is however advisable to reread the draft one more time before submission, as a last-minute correction of typos, leaps, and muddled sentences may enable the reviewers to focus on providing advice on the content rather than the form.

Feedback is vital to writing a good review, and should be sought from a variety of colleagues, so as to obtain a diversity of views on the draft. This may lead in some cases to conflicting views on the merits of the paper, and on how to improve it, but such a situation is better than the absence of feedback. A diversity of feedback perspectives on a literature review can help identify where the consensus view stands in the landscape of the current scientific understanding of an issue [24] .

Rule 9: Include Your Own Relevant Research, but Be Objective

In many cases, reviewers of the literature will have published studies relevant to the review they are writing. This could create a conflict of interest: how can reviewers report objectively on their own work [25] ? Some scientists may be overly enthusiastic about what they have published, and thus risk giving too much importance to their own findings in the review. However, bias could also occur in the other direction: some scientists may be unduly dismissive of their own achievements, so that they will tend to downplay their contribution (if any) to a field when reviewing it.

In general, a review of the literature should neither be a public relations brochure nor an exercise in competitive self-denial. If a reviewer is up to the job of producing a well-organized and methodical review, which flows well and provides a service to the readership, then it should be possible to be objective in reviewing one's own relevant findings. In reviews written by multiple authors, this may be achieved by assigning the review of the results of a coauthor to different coauthors.

Rule 10: Be Up-to-Date, but Do Not Forget Older Studies

Given the progressive acceleration in the publication of scientific papers, today's reviews of the literature need awareness not just of the overall direction and achievements of a field of inquiry, but also of the latest studies, so as not to become out-of-date before they have been published. Ideally, a literature review should not identify as a major research gap an issue that has just been addressed in a series of papers in press (the same applies, of course, to older, overlooked studies (“sleeping beauties” [26] )). This implies that literature reviewers would do well to keep an eye on electronic lists of papers in press, given that it can take months before these appear in scientific databases. Some reviews declare that they have scanned the literature up to a certain point in time, but given that peer review can be a rather lengthy process, a full search for newly appeared literature at the revision stage may be worthwhile. Assessing the contribution of papers that have just appeared is particularly challenging, because there is little perspective with which to gauge their significance and impact on further research and society.

Inevitably, new papers on the reviewed topic (including independently written literature reviews) will appear from all quarters after the review has been published, so that there may soon be the need for an updated review. But this is the nature of science [27] – [32] . I wish everybody good luck with writing a review of the literature.

Acknowledgments

Many thanks to M. Barbosa, K. Dehnen-Schmutz, T. Döring, D. Fontaneto, M. Garbelotto, O. Holdenrieder, M. Jeger, D. Lonsdale, A. MacLeod, P. Mills, M. Moslonka-Lefebvre, G. Stancanelli, P. Weisberg, and X. Xu for insights and discussions, and to P. Bourne, T. Matoni, and D. Smith for helpful comments on a previous draft.

Funding Statement

This work was funded by the French Foundation for Research on Biodiversity (FRB) through its Centre for Synthesis and Analysis of Biodiversity data (CESAB), as part of the NETSEED research project. The funders had no role in the preparation of the manuscript.

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How to Read the Literary Market: An Introduction

Understood as a modern institution, literature is historically bound to the extension of market rationality. The commodification of literature since the late eighteenth century has changed the ways in which we handle literary works: rather than just perused by individual readers, books are promoted, traded, consumed, and legally protected. Over the past three decades, scholars have focused increased attention on how to conceptualize this encroachment of market principles into the sphere of culture ( Agnew 1986; Bourdieu 1996; Woodmansee 1994 ). They have shown that concepts like ‘the fine arts’, ‘high literature’, and ‘aesthetic autonomy’ have evolved not in opposition but rather as historical responses to and functions of the commercialization and professionalization of culture. In so doing they have reflected upon an array of intersecting cultural developments such as the specialization of the poet as professional writer and distributor of a marketable commodity and the diversification of literary practice across artistic and commercial spaces. What conjoins these projects is the broad question of how to read the literary market.

Many approaches toward literary market economies have pursued the aim of identifying the absent causes that determine literary production and consumption. This objective informed the works of marketplace critics of the 1980s (e.g., Gilmore 1985; Michaels 1987 ) but has also inspired the bulk of the more recent “New Economic Criticism” (e.g., McClanahan 2016; Poovey 2008 ). These branches of revisionist scholarship revolve around the social and economic, the material and ideological implications and constraints conditioning the production, reception, and distribution of literature. They emphasize literature’s crucial function as a site of political resistance and complicity, albeit by positing a rather static causality between the social and the cultural, politics and literature.

A number of competing contemporary approaches stemming from the resurgence of the sociology of literature have provided alternatives to the premises established by economic literary criticism. This development deserves a word of explanation. For what literary scholars think is sociology differs notably from how sociologists would identify their own discipline. Moreover, “‘sociology of literature’ has always named a polyglot and rather incoherent set of enterprises. It is scattered across so many separate domains and subdomains of scholarly research, each with its own distinct agendas of theory and method, that it scarcely even rates the designation of a ‘field’” ( English 2010 , v). For example: Birmingham School cultural materialism does champion a broad sociological interest in the life worlds of readers and writers. But that type of work is only peripherally relatable to some of the projects that sailed under New Historicist flags in the 1980s, although scholars in the wake of Stephen Greenblatt had a similarly committed interest in the social. Likewise, the reception of Michel Foucault’s bio-political writings of the 1970s and early 1980s encouraged a good deal of critics to inquire into the social and discursive foundations of power regimes. But that interest remained insular, almost disconnected from projects designed in pursuit of site-specific, empirical analyses of social power.

This sense of diversity notwithstanding, there is a set of vaguely identifiable thematic concerns and methodological premises at the center of sociological literary scholarship. When literary scholars turn into sociologists they typically focus on different actors in the literary market: publishing houses, agencies, and retailers; they look at matters of literacy and reading techniques, the interrelations of publishers, authors, and readers, and the history of production technology, treating the book and the literary text as objects of commerce and trade, and as cornerstones in the diverse constructions of socio-historical and cultural identities. These issues, to be sure, have troubled literary scholars since the beginnings of academic English studies in the early twentieth century, but they have never been clustered exclusively within a subfield called ‘sociology of literature’ or ‘marketplace criticism.’ In part this has to do with the evolution of literary theory during the post-45 period on both sides of the Atlantic, wherein Marxism was long considered to be the go-to paradigm for all things social. And while the continued interest in Pierre Bourdieu’s cultural sociology has helped to reintegrate sociological study into the domains of the English department since the 1990s, this interest has turned the field of literary production into a somewhat predictable metaphor customarily used to describe various forms of capital exchange (and barely anything else).

Focusing on these putative limitations, a number of recent studies have pointed out that the bulk of Bourdieu-derived scholarship still rests on the opposition between aesthetic and economic value, arguing that modern literature is marked by the tension of withdrawing from the mechanisms of the market and, at the same time, being shaped by it ( English 2005; Griem 2017; Leypoldt 2014; Theisohn and Weder 2013 ). In seeking to circumnavigate such binary models of the literary field, these critics have brought back to the forefront of scholarship questions of aesthetic experience, affect, or singularity, and thus re-conceptualized the market as a social institution – and a Latourian actor-network ( Felski 2015 ) – irreducible to its function of monetary allocation (e.g., Sklansky 2017 ). Following these interventions, aesthetic and economic value are neither irreconcilable nor indistinguishable, and questions about the form, appearance, and experience are put in fruitful dialogue with questions about the commodification and marketability of literary works.

Moreover, there has been a strong comeback of studies in the history of the book that in many ways complements the symbolic readings of the literary market both in terms of its transatlantic dimension and in its historical evolution. While there were incipient forms of what we now understand to be a literary market in eighteenth-century Britain ( Siskin 1998 ), the idea of a professionalized literary field did not become plausible on US soil before the 1840s. And even then, there remained a tremendous influence of British and continental European publishing on American authors, publishers, and retailers as the American market was constrained by rigid copyright laws ( McGill 2010 ). As Joseph Rezek has argued, conceiving of literary history in national terms denies the material and economic realities of early nineteenth-century literature: “British and American publishing were not separate affairs in the early nineteenth century” ( Rezek 2015 , 25). Literary practitioners at the time were aware that the literary marketplace of the early nineteenth century spanned the Atlantic. And they also knew how incoherently and unpredictably this market evolved across nation-states and institutions. For example: Boston, New York, and Philadelphia developed relatively early into powerful publishing centers in the US, not least because of their favorable geographical locations in the Northeast. But the Midwest and the Southern colonies, lacking stable trade routes to Europe, remained isolated as literary regions for the better part of the nineteenth century. Similar discontinuities can be observed in the case of London’s ascent into “world literary space” ( Casanova 2004 ), to borrow Pascale Casanova’s term, and the consequent emergence of an Anglo-European literary periphery in the eighteenth century. Given these contexts, any inquiry into the relationship between economy and literature must take account of this complex history, rather than simply assume that a literary market and its variously entangled hierarchies of value have always been there.

This special issue creates a critical forum on theories, methods, and techniques currently used for scholarly work at the intersection of culture and the economy. Reflecting the issue’s concerns with literature and the market, the articles cover a wide historical scope, ranging from the nineteenth century to the present. And by conjoining theoretical and historical concerns, they highlight the aesthetic, cultural-sociological, and narrative dimensions of literature and the market. Among other issues, the contributors focus on particular theoretical trajectories to refine our understanding of the relation between literature and the market, and they discuss the methods of analysis that are most promising for the study of modern literature and its integral role within market society. At the same time, most of the contributors relate their arguments to concrete sites of literary practice so as to maintain that any theoretical argument about the literary market can only make sense on the grounds of the market’s empirical foundations. Understood as social practices, reading and writing are never context-free.

This special issue’s methodological intervention grows out of a literal understanding of its title, “How to Read the Literary Market.” We move beyond an understanding of the literary market as a context or institutional setting that must be analyzed with extra-literary means, as if the market remained external to the literary text. Rather, works of literature themselves can be instructive for how to read (i.e., to form, comprehend, and reform) dynamics of the literary market. A number of our contributions therefore explore literary texts that highlight and draw on market dynamics and their effects on literary aesthetics and narrative structures. Accordingly, the essays assembled here seek to show that a sociology of literature must not only reflect upon the social and economic forces emerging from and around literature, but that it needs to tackle the very questions literary texts pose vis-à-vis the social; questions, that is, which target issues of race, class, gender, and the issue of creative production itself.

Considering the meaning and the status of the ‘literary’ within the framework of the literary market, Tim Lanzendörfer’s essay is both a critical reflection of the historically established and culturally inherent conflicts between ‘high’ and ‘low,’ avant-gardist and commercial, autonomous and complicit, and thereby an inquiry into this issue’s larger methodological interest. Philipp Löffler, in turn, offers a more specific account of central developments in the antebellum book market, focusing on two case studies: Nathaniel Hawthorne’s ascent into the literary establishment of the 1840s – based mainly on the promotion of his short fiction – and the attempts to advertise Harriet Beecher-Stowe’s Uncle Tom’s Cabin across socially and politically diverse readerships in the South and the North.

Nicola Glaubitz’s essay explicitly asks “How Useful is Bourdieu’s Notion of Capital for Describing Literary Markets?” Her answer – “Yes, Bourdieu’s notion of capital is useful” – is grounded in a careful analysis of three major critical works indebted to Bourdieu’s work: John Guillory’s Cultural Capital (1993); James English’s The Economy of Prestige (2005); and Clayton Childress’s Under the Cover (2017). Julika Griem integrates conceptions of literary markets, marketing, and marketability into the study of literature. By combining textual and sociological analysis, Griem turns to spatial and spatializing strategies on various levels of literary communication, relating Bourdieu’s sociology of literature to more recent studies on literary ecologies and consumer culture by David Alworth and Jim Collins.

The essays by Florian Sedlmeier and Stefanie Mueller explore the relationship between African American writing and the sociocultural implications of the literary market. Sedlmeier’s essay confronts Pierre Bourdieu’s notions of literary capital with William Dean Howells’s criticism of African American writers. The lens of Bourdieu, Sedlmeier argues, allows us to see the tension between the possibility of converting cultural difference into literary capital and the necessity to maintain a universal notion of literary capital, with which Howells endowed writers such as Paul Dunbar and Charles Chesnutt. In her essay “‘No more little boxes’ – Poetic Positionings in the Literary Field,” Stefanie Mueller analyzes Thomas Sayers Ellis’s poem “Skin, Inc.” (2010). In her close reading, Mueller shows that Ellis uses the metaphor of incorporation in terms of its economic and its formal affordances. Also drawing on Bourdieu’s work, Mueller thinks of the poem as a form of poetic position-taking in the early twenty-first-century United States. While she explores the literary marketplace as presented in Ellis’s poem, Mueller draws particular attention to the role of race in the US literary field, in particular with regard to what has been labeled a ‘post-soul aesthetic.’

The editors would like to thank Eleni Patrika and Aiden John for diligently formatting the issue.

Agnew, J.-C. 1986. Worlds Apart: The Market and the Theater in Anglo-American Thought . Cambridge: Cambridge University Press. 10.1017/CBO9780511571404 Search in Google Scholar

Bourdieu, P. 1996. Rules of Art . Stanford, CA: Stanford University Press. 10.1515/9781503615861 Search in Google Scholar

Casanova, P. 2004 [1999]. The World-Republic of Letters. Trans. Malcolm DeBevoise . Cambridge, MA: Harvard University Press. Search in Google Scholar

English, J. 2005. The Economy of Prestige: Prizes, Awards, and the Circulation of Cultural Value . Cambridge, MA: Harvard University Press. 10.4159/9780674036536 Search in Google Scholar

English, J. 2010. “Everywhere and Nowhere: The Sociology of Literature after ‘The Sociology of Literature’.” New Literary History 41: v–xxiii. 10.1353/nlh.2010.0005 Search in Google Scholar

Felski, R. 2015. “Latour and Literary Studies.” PMLA 130: 737–42, https://doi.org/10.1632/pmla.2015.130.3.737 . Search in Google Scholar

Gilmore, M. T. 1985. American Romanticism and the Marketplace . Chicago, IL: The University of Chicago Press. 10.7208/chicago/9780226293943.001.0001 Search in Google Scholar

Griem, J. 2017. “Literatur und Ökonomie.” In: Handbuch zur Materialität der Literatur , edited by S. Scholz. Stuttgart: Metzler. Search in Google Scholar

Leypoldt, G. 2014. “Singularity and the Literary Market.” New Literary History 45: 71–88, https://doi.org/10.1353/nlh.2014.0000 . Search in Google Scholar

McClanahan, A. 2016. Dead Pledges: Debt, Crisis, and Twenty-First-Century Culture . Stanford, CA: Stanford University Press. 10.11126/stanford/9780804799058.001.0001 Search in Google Scholar

McGill, M. 2010. “Copyright.” In A History of the Book in America , Vol. 2, edited by R. A. Gross and M. Kelley. Chapel Hill, NC: University of North Carolina Press, 198–210. Search in Google Scholar

Michaels, W. B. 1987. The Gold Standard and the Logic of Naturalism . Berkeley, CA: University of California Press. Search in Google Scholar

Poovey, M. 2008. Genres of the Credit Economy: Mediating Value in Eighteenth-and Nineteenth-Century Britain . Chicago, IL: The University of Chicago Press. 10.7208/chicago/9780226675213.001.0001 Search in Google Scholar

Rezek, J. 2015. London and the Making of Provincial Literature: Aesthetics and the Transatlantic Book Trade, 1800–1850 . Philadelphia, PA: University of Pennsylvania Press. 10.9783/9780812291629 Search in Google Scholar

Siskin, C. 1998. The Work of Writing: Literature and Social Change in Britain, 1700–1830 . Baltimore, MD: Johns Hopkins University Press. Search in Google Scholar

Sklansky, J. 2017. Sovereign of the Market: The Money Question in Early America . Chicago, IL: The University of Chicago Press. 10.7208/chicago/9780226480473.001.0001 Search in Google Scholar

Theisohn, P., and C. Weder, eds. 2013. Literaturbetrieb: Zur Poetik einer Produktionsgemeinschaft . Paderborn: Wilhelm Fink. Search in Google Scholar

Woodmansee, M. 1994. The Author, Art, and the Market: Rereading the History of Aesthetics . New York, NY: Columbia University Press. Search in Google Scholar

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