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8 Introduction

A literature review is one of the core components of any academic research project. It’s where you take stock of what’s already been written about your topic, summarizing, analyzing, and synthesizing the existing scholarship (Knopf, 2006, p. 127). Depending on your research context, your literature review might look very different. A doctoral proposal, for example, usually includes a concise, targeted review, while a full dissertation or thesis requires a much deeper, more comprehensive exploration of the literature (Creswell, 2009).

There are different types of literature reviews, and it’s essential that you understand which one your research calls for. Creswell (2009), building on Cooper’s (1984) work, outlines several common approaches. The integrative review, often used in dissertations, aims to identify key themes or patterns across a broad set of studies. The methodological review focuses on how different researchers define concepts and apply methods, useful when you’re examining trends or discrepancies in research practices. Then there’s the theoretical review, which looks at the key theories that have shaped the field and how they’ve evolved over time.

Knopf (2006) also classifies literature reviews based on their function within the research process. A standalone literature review aims to assess the current state of knowledge on a topic. This type is common in review articles or white papers. A review within a proposal helps define the research problem, identify gaps, and justify your project’s contribution. Finally, in a completed research paper or thesis, the literature review connects your findings back to the scholarly conversation, showing how your work supports, challenges, or expands on what came before (p. 128).

Regardless of which type you’re writing, one thing stays the same: a good literature review involves more than just summarizing articles. It requires critical engagement, evaluating methods, comparing findings, and synthesizing ideas across studies. As Knopf (2006) puts it, a review should not simply list what each study says, but instead treat the literature as a collective body of work. APA (2012) echoes this view, emphasizing that a strong review offers “critical evaluations of material that has already been published” (p. 10).

To guide this critical process, Dodgson (2021) proposes a helpful three-step model: deconstruction, analysis, and reconstruction. In deconstruction, you break each study into its core elements: research questions, key variables, arguments. During analysis, you assess their quality, identify trends, and explore contradictions. Finally, in reconstruction, you begin to link insights together, highlight tensions, and build a coherent understanding that supports your research focus.

Benefits of a Literature Review

A literature review serves multiple purposes and brings real value to any research project. Drawing on insights from Knopf (2006) and Creswell (2009), here are some of the key reasons why a literature review is such a vital part of the research process.

  1. It familiarizes you with the research landscape in your field

A well-crafted literature review helps you understand the academic terrain. As you read more, you begin to notice recurring themes, debates, and voices that shape the field. It’s like stepping into an ongoing conversation. You may be new to it, but the more you engage, the more fluent you become in the language, theories, and key questions of your discipline. This foundation grounds your thinking and helps you move from general interest to informed inquiry.

  1. It helps you discover what has already been studied

No one wants to invest months into a research question only to learn it was fully answered years ago. A good literature review prevents that. It allows you to map out what’s been done, what conclusions have been reached, and how your question fits into the broader body of work. The goal isn’t just to avoid repetition but to make sure your contribution adds something new and meaningful to the field.

  1. It sparks new ideas and directions for your research

Reading widely can be surprisingly generative. Sometimes, a single sentence or claim in a study can trigger a fresh line of thought or shift your perspective entirely. Literature reviews are not just academic requirements; they can serve as creative springboards, opening up new angles, methods, or connections you hadn’t considered before.

  1. It helps you identify gaps in the existing research

As you dig into the literature, you’ll likely notice areas that are underexplored, inconsistently addressed, or simply overlooked. These gaps, often referred to as lacunae, are valuable opportunities. By identifying them, you can shape your project around a real need in the field. This gives your work a clear rationale and positions it as a meaningful contribution to ongoing scholarship.

  1. It places your research within a larger scholarly context

Research doesn’t happen in isolation. One of the most important functions of a literature review is to situate your study within the broader academic conversation. Whether your work supports, challenges, or builds upon previous findings, the literature review helps you make that connection explicit. It answers the “so what” question by showing how your research fits into what is already known and why it matters.

Steps for Conducting a Literature Review

There isn’t a universally fixed method or rigid sequence you must follow when conducting a literature review. Different researchers have different approaches depending on their field, preferences, and tools at hand. That said, Creswell (2009) offers a useful set of tentative steps to guide the process especially helpful for those navigating the early stages of academic research.

  1. Identifying Keywords

Your first step is to come up with a set of keywords. These usually emerge from preliminary readings around your topic or from general knowledge of your research interest. Think of keywords as your entry points into the literature, they’re the terms you’ll plug into search engines and databases. Nowadays, you can also enlist AI tools to help you generate or refine keywords by feeding them your topic or even a short abstract. This can be a helpful way to surface synonyms or related terms you may not have thought of.

  1. Searching Databases

Once you’ve got your keywords, it’s time to explore the databases. Before the rise of AI, we relied heavily on platforms like ERIC, ProQuest, JSTOR, and university library portals to find relevant materials. Those are still solid resources, but now you’ve also got access to a growing number of AI-powered academic search engines that can make this process smoother and more intuitive. Later in this chapter, we’ll walk you through a curated collection of these AI tools and how to make the most of them when searching for literature.

  1. Targeting Around 50 Materials

Creswell (2009) suggests aiming for roughly “50 reports of research in articles or books related to research on your topic” (p. 29). This number isn’t a hard rule, but it gives you a manageable target. Focus on peer-reviewed journal articles and scholarly books, those are your most reliable sources. Depending on the scope of your project, you might go slightly above or below this number, but the goal is to gather a strong, focused collection of sources that will form the backbone of your review.

  1. Skimming for relevance

Next, skim through your initial findings to assess which materials are worth a deeper read. Usually, reading the abstract and quickly scanning the introduction, conclusion, and section headings will give you a good sense of whether a paper is relevant. While there are AI tools that offer paper-skimming features, we think they’re not the most efficient at this stage, you’re better off doing a quick hands-on skim yourself. The goal here is just to “obtain a sense” of whether the article aligns with your topic and is worth including in your review (Creswell, 2009).

  1. Creating a literature map

Once you’ve settled on a set of relevant materials, it helps to organize them visually. A literature map groups studies into themes, trends, or conceptual clusters, giving you a bird’s-eye view of the field. This not only helps you spot patterns but also highlights areas that might be underexplored. For this task, AI tools like Litmaps can be incredibly useful. We’ll cover this tool in more detail later on in this chapter.

  1. Writing Summaries and Managing References

As you read your selected papers more deeply, start drafting concise summaries that capture the key findings, concepts, and contributions of each study. This is where AI tools come in handy; many can generate rough summaries to help speed up the process. Just remember you’ll need to revise and reword these summaries in your own voice, especially since they’ll feed directly into your literature review.

  1. Assembling the literature review

Finally, this is where you bring everything together. Your literature review should include a synthesis of major themes or concepts, a critical evaluation of the existing work, and a clear rationale for your study. And as we mentioned earlier, you’re not just telling your reader what’s out there, you’re showing how the literature builds toward your research question and how your study fits in. This is where you demonstrate both your grasp of the field and your ability to contribute something meaningful to it.

For the purposes of this book, we’ve divided the process of conducting a literature review into three practical and easy-to-follow stages: searching the literature, reading the literature, and writing your paper. While the full process can be messy and non-linear in real life, breaking it down this way helps us focus on what matters most at each stage. In the next section, we’ll begin with how to effectively search for relevant literature using both traditional methods and AI-powered tools. Then, in the following chapters, we’ll move on to how to read and engage critically with what you’ve found, and finally, how to pull everything together into a well-structured and thoughtful literature review.

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The AI Turn in Academic Research Copyright © 2025 by Johanathan Woodworth and Mohamed Kharbach is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License, except where otherwise noted.