How to Write a Strong Literature Review (With Examples)


In a previous blog, we highlighted top 5 best AI tools for literature review that offer a large collection of research materials to support your research. Now, in this blog, we will go through the process and the 3 pillars of writing lit review while providing a real-life literature review example to help you grasp the concept with ease.
What's a Literature Review?
A literature review is a summary of what other researchers have already discovered about your topic. It helps you figure out what's already known, what questions still need answers, and how your own research fits into the bigger picture.
What Are the 3 Pillars of Literature Review?
Introduction
The introduction of a literature review should:
- Provide context for the topic
- Define the scope and purpose of the review
- Outline the organisational framework
- Present a clear thesis statement
Body
The body of the literature review is where you analyse and synthesise existing research. Consider organising your review by:
- Themes or concepts
- Chronological order
- Methodological approaches
Conclusion
A strong conclusion should:
- Summarise key findings
- Highlight contributions to the field
- Discuss implications and applications
- Suggest directions for future research
Tips on How to Write a Great Literature Review
- Read widely to get a full picture of your topic.
- Don't just summarise - analyse and compare different studies.
- Look for patterns and gaps in the research.
- Keep your writing clear and logical.
- Use transition words to help your ideas flow smoothly.

How Zendy Can Help with Your Literature Review
In order to write a strong literature review you need to find the right sources, and of course a tools to help accelerate the process.
Zendy.io isn’t just a digital library that offers access to relevant studies across disciplines, but it also helps you write a solid literature review, Zendy AI tools include features designed to help you with literature reviews. You can:
- Summarise lengthy research articles instantly
- Highlight key phrases and findings
- Ask ZAIA, your personal AI research assistant, to explain complex papers
- Compare multiple sources to find common themes or gaps
It’s a simple way to stay focused, save time, and actually enjoy the process.
Real-Life Literature Review Example
This is my favourite example of a literature review! Assume you're reviewing literature on climate change and agriculture:
"Researchers have been studying how climate change affects farming for decades. Early studies in the 1990s focused mainly on crop yields (Stephen, 1992; Iana, 1995). As time went on, scientists started looking at more complex issues. For example, Sleman (2005) examined how changing rainfall patterns affect soil quality, while Monica (2010) investigated the spread of new crop diseases in warmer temperatures.
Recent research has taken a broader view. Emad (2018) looked at how climate change impacts entire food systems, from farm to table. Meanwhile, Rodrigo (2020) explored how small-scale farmers in developing countries are adapting to new weather patterns.
Despite all this research, we still don't know enough about how climate change will affect food security in specific regions. Future studies could focus on creating detailed, local predictions to help farmers prepare for what's ahead."
See how this example of literature review flows naturally from one idea to the next? It gives you a clear picture of how research in this area has evolved over time.
Other Examples of Literature Review
- Chronological literature review example: Learners’ Listening Comprehension Difficulties in English Language Learning: A Literature Review
- Methodological literature review example: Literature review as a research methodology: An overview and guidelines
- Theoretical literature review example: Why Do People Migrate? A Review of the Theoretical Literature
- Thematic literature review example: The Use of Technology in English Language Learning: A Literature Review
- Other literature review example:
By following these tips and studying literature review examples, you'll be ready to start writing a solid literature review.
Remember, the key is to organise your sources, explain how they connect, and point out what still needs to be studied. Happy researching!

5 Tools Every Librarian Should Know in 2025
The role of librarians has always been about connecting people with knowledge. But in 2025, with so much information floating around online, the challenge isn’t access, it’s sorting through the noise and finding what really matters. This is where AI for libraries is starting to make a difference. Here are five that are worth keeping in your back pocket this year. 1. Zendy Zendy is a one-stop AI-powered research library that blends open access with subscription-based resources. Instead of juggling multiple platforms, librarians can point students and researchers to one place where they’ll find academic articles, reports, and AI tools to help with research discovery and literature review. With its growing use of AI for libraries, Zendy makes it easier to summarise research, highlight key ideas, and support literature reviews without adding to the librarian’s workload. 2. LibGuides Still one of the most practical tools for librarians, LibGuides makes it easy to create tailored resource guides for courses, programs, or specific assignments. Whether you’re curating resources for first-year students or putting together a subject guide for advanced research, it helps librarians stay organised while keeping information accessible to learners. 3. OpenRefine Cleaning up messy data is nobody’s favourite job, but it’s a reality when working with bibliographic records or digital archives. OpenRefine is like a spreadsheet, but with superpowers, it can quickly detect duplicates, fix formatting issues, and make large datasets more manageable. For librarians working in cataloguing or digital collections, it saves hours of tedious work. 4. PressReader Library patrons aren’t just looking for academic content; they often want newspapers, magazines, and general reading material too. PressReader gives libraries a simple way to provide access to thousands of publications from around the world. It’s especially valuable in public libraries or institutions with international communities. 5. OCLC WorldShare Managing collections and sharing resources across institutions is a constant task. OCLC WorldShare helps libraries handle cataloguing, interlibrary loans, and metadata management. It’s not flashy, but it makes collaboration between libraries smoother and ensures that resources don’t sit unused when another community could benefit from them. Final thought The tools above aren’t just about technology, they’re about making everyday library work more practical. Whether it’s curating resources with Zendy, cleaning data with OpenRefine, or sharing collections through WorldShare, these platforms help librarians do what they do best: guide people toward knowledge that matters. .wp-block-image img { max-width: 85% !important; margin-left: auto !important; margin-right: auto !important; }

Balancing AI Efficiency with Human Expertise in Libraries
AI in libraries is making some tasks quicker and less repetitive. However, even with these advances, there’s something irreplaceable about a librarian’s judgment and care. The real question isn’t whether AI will take over libraries, it’s how both AI and librarians can work side by side. How AI Helps in Libraries According to Clarivate Pulse of the Library 2025 survey, among 2,000 academic library professionals globally, many said they don’t have enough time or budget to learn new tools or skills, a challenge made even harder as global digital content is projected to double every two years. Here’s where AI tools for librarians prove useful: Cataloguing: AI can scan metadata and suggest subject tags in minutes. Search: Smarter search systems help students and researchers find relevant materials without digging through dozens of irrelevant results. Day-to-day tasks: Think overdue notices, compiling basic reading lists, or identifying key sources and trends to support literature reviews. This is where library automation with AI comes in handy. Instead of replacing people, these tools free up time. A librarian who doesn’t have to spend hours sorting through data can focus on supporting students, curating collections, analysing usage statistics to make informed decisions or tracking resource usage against budgets. Where Human Expertise Still Matters AI is fast, but it’s not thoughtful. A student asking, “I’m researching migration patterns in 19th-century Europe, where do I start?” gets much more from a librarian than from a search algorithm. Librarians bring context, empathy, and critical thinking that machines can’t replicate. This is why human-AI collaboration in libraries makes sense. AI takes care of the routine. Humans bring the nuance. Together, they cover ground neither could manage alone. Finding the Balance So how do libraries get this balance right? A few ideas: Think of AI as a helper – not a replacement for staff. Invest in training – librarians need to feel confident using AI tools and knowing when not to rely on them. Keep the focus on people – the goal isn’t efficiency for its own sake, it’s about better service for students, researchers, and communities. Final Thoughts By using AI to handle routine administrative tasks like cataloguing, managing records, or tracking resource usage, librarians free up time to focus on the part of the job that drew them to this profession in the first place: supporting researchers and students, curating meaningful collections, and fostering learning. Combining the efficiency of AI in libraries with the expertise of librarians creates a future where technology supports the human side of education. .wp-block-image img { max-width: 85% !important; margin-left: auto !important; margin-right: auto !important; }

How AI in Higher Education Is Helping Libraries Support Research
Libraries have always been at the centre of knowledge in higher education. Beyond curating collections, librarians guide researchers and students through complex databases, teach research skills, and help faculty navigate publishing requirements. They also play a key role in managing institutional resources, preserving archives, and ensuring equitable access to information. These days, libraries are facing new challenges: huge amounts of digital content, tighter budgets, and more demand for remote access. In this environment, AI in higher education is starting to make a real difference. How AI Makes Life Easier for Librarians Improving Discovery AI-powered search tools don’t just look for keywords, they can understand the context of a query. That means students and researchers can find related work they might otherwise miss. It’s like having an extra set of eyes to point them toward useful sources. Helping with Curation AI can go through thousands of articles and highlight the ones most relevant to a specific course, project, or research topic. For example, a librarian preparing a reading list for a history class can save hours by letting AI suggest the most relevant papers or reports. Supporting Remote Access Students, researchers and faculty aren’t always on campus. AI can summarise long articles, translate content, or adjust resources for different reading levels. This makes it easier for people to get the information they need, even from home. Working Within Budgets Subscriptions remain a major expense for libraries, and ongoing budget cuts are forcing many academic institutions to make difficult choices about which resources to keep or cancel. For example, recent surveys show that around 73% of UK higher education libraries are making budget cuts this year, sometimes slashing up to 30% of their overall budgets, and collectively spending £51 million less than the previous year. This trend is not limited to the UK, universities in the U.S. and elsewhere are also reducing library funding, which has dropped by nearly 20% per student over recent years. Even top institutions like Princeton have cut library hours and student staffing to save on costs. Subscriptions can be expensive, and libraries often have to make tough choices. AI tools that work across large collections help libraries give students and researchers more access without adding extra subscriptions. Trusted Content Still Matters AI is helpful, but the resources behind it are just as important. Librarians care about trusted, peer-reviewed, and varied sources. Librarians and AI: A Partnership AI isn’t replacing librarians. Instead, it supports the work they already do. Librarians are the ones who guide researchers, check the quality of sources, and teach information skills. By using AI tools, librarians can make research easier for students, researchers and faculty, and they can help their institutions make the most of the resources they have. Final Thoughts AI in higher education is making it easier for libraries to support students and faculty, but librarians are still at the centre of the process. By using AI tools alongside strong content collections, libraries can save time, offer more resources, and help researchers find exactly what they need. With the right AI support, research becomes easier to navigate and more accessible without overcomplicating the process. .wp-block-image img { max-width: 85% !important; margin-left: auto !important; margin-right: auto !important; }
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom