Our first time conducting a literature review can be quite daunting. It is not always clear how deep we need to research or which sources deserve the most attention. Generative AI can offer some possible examples to demystify the process.
Often, the confusion with literature reviews is just how to structure them. The example below is an example of how you could utilise generative AI to help you overcome the blank page and get started on your literature review.
“Hello! I'm a third-year undergraduate student at a UK university studying for a BSc in Economics. I've never done a literature review before but have to do one for my 8,000-word dissertation exploring the pros and cons of quantitative easing on UK infrastructure development after the 2008 financial crisis. We've been advised that the literature review needs to explore around eight key pieces of literature. Can you recommend a possible structure for this providing rough word counts for each section so that I don't get off track? Thank you!"
Here's how I’d guide you through structuring a literature review for an 8,000-word Economics dissertation:
📚 Suggested Structure for Your Literature Review
🔹 1. Introduction to the Literature Review (500–600 words)
🔹 2. Thematic or Chronological Grouping of Literature (6,400–6,600 words total)
You can organize this section either thematically (e.g., by topic or perspective) or chronologically (e.g., pre- and post-2010 analyses). Here’s a thematic example with rough word counts:
A. Literature on Quantitative Easing Policy (1,000–1,200 words)
B. Literature on Infrastructure Investment Post-2008 (1,000–1,200 words)
C. Empirical Studies Linking QE to Infrastructure Outcomes (1,200–1,400 words)
D. Critiques and Limitations of QE (1,000–1,200 words)
E. Alternative Perspectives or Comparative Studies (1,000–1,200 words)
🔹 3. Synthesis and Gaps in the Literature (400–500 words)
🔹 4. Conclusion to the Literature Review (300–400 words)
After receiving the AI’s feedback: