#Mendeley - Software for #Literature Review
Based on Research With Fawad's video on YouTube. If you like this content, support the original creators by watching, liking and subscribing to their content.
Create a dedicated Mendeley folder for each research theme so searches run across a focused set of PDFs.
Briefing
Mendeley can be used as more than a citation manager: it can rapidly surface the exact passages needed for a literature review—definitions, theoretical framings, research gaps, and even measurement instruments—by searching within a curated library of PDFs. The core workflow is to download and install Mendeley Desktop, register, then build a structured set of folders and import relevant papers so targeted searches can filter hundreds of documents down to a handful of useful sources.
After creating a dedicated folder for a research theme (for example, internal marketing), the next step is importing PDFs into that folder using Mendeley’s add files function. With a large library in place, Mendeley’s search bar becomes the engine for narrowing results. A plain keyword search like “internal marketing” initially highlights only single-word matches (e.g., “internal”) unless the search is treated as a phrase. When the search is refined to the right phrase—such as “internal marketing” together with a related concept like “customer service”—the results shrink dramatically, letting researchers avoid opening every paper just to find whether a specific relationship is discussed.
A practical detail matters here: Mendeley may treat quoted text as an exact phrase, and removing quotation marks can switch the search back to matching the intended wording across documents. Once a relevant passage is found, the workflow supports direct extraction into writing. Researchers can right-click and copy text, then paste it into Word, but they must format and cite it properly. For citations, Mendeley offers “copy as formatted citation,” and the citation needs to be placed both in-text and in the reference list, with formatting adjusted to match MLA-style expectations (e.g., using last names in the in-text citation).
The transcript also emphasizes that concepts often appear under multiple names. Internal marketing, for instance, can be described as internal customer orientation, internal customer orientation, or internal marketing variants. Mendeley search strings can use wildcard-like patterns (e.g., adding an asterisk) to capture these terminological variations in one sweep. The same approach extends beyond internal marketing: corporate social responsibility may appear as business social responsibility, corporate sustainability, or social responsibility.
Beyond finding relationships, Mendeley can locate the building blocks of a literature review. For definitions, researchers can search for definitional verbs and variants—such as “state,” “stated,” “define,” “defined,” or “referred”—and combine them with the target concept to isolate papers that explicitly conceptualize the term. For gaps, searches for limitation-related language (“limited,” “scarce,” “scarcity of research”) can identify which recent papers acknowledge under-researched areas, reducing the need to manually scan every PDF.
Theory selection is treated similarly: searching for “theory” reveals which papers use theoretical lenses to connect constructs, and then reading the relevant sections shows how those theories are applied. Measurement discovery is also supported by searching for “scale” or “measures,” enabling researchers to find instruments like “social climate scale” when they exist in the library.
Finally, the transcript highlights a real-world use case: when reviewers demand more on a specific link (e.g., internal marketing to knowledge management), a simple keyword search across the imported internal marketing corpus can quickly pull the relevant passages and citations, avoiding a time-consuming manual review of every paper. In short, Mendeley’s strength is turning literature review research from document-by-document searching into targeted retrieval of the exact evidence needed for writing.
Cornell Notes
Mendeley Desktop can streamline literature reviews by letting researchers search inside imported PDFs for the exact language needed for writing. The process starts with installing Mendeley, creating a dedicated folder for a research topic, and importing all relevant papers. From there, keyword and phrase searches narrow hundreds of documents to the ones containing specific relationships, definitions, limitations, theories, or measurement instruments. Using search variants and wildcard-style patterns helps capture concepts described under multiple names (e.g., internal marketing vs internal customer orientation). Once relevant text is found, researchers can copy passages and use Mendeley’s “copy as formatted citation” to place in-text citations and reference-list entries correctly.
How does a researcher set up Mendeley so searches are efficient for a literature review?
Why might a search for “customer service” return “no match,” and how can it be fixed?
How can Mendeley handle concepts that appear under multiple terminologies?
What search strategy helps find papers that contain definitions of a concept?
How can Mendeley help identify research gaps and limitations without reading every paper end-to-end?
How can Mendeley assist with theory selection and measurement instrument discovery?
Review Questions
- When would you remove quotation marks from a Mendeley search string, and what does that change about matching behavior?
- What definitional verbs and variants (e.g., state/define/refer) would you combine with a target concept to find definition-focused papers?
- How would you design a search string to capture multiple names for the same concept (e.g., internal marketing vs internal customer orientation)?
Key Points
- 1
Create a dedicated Mendeley folder for each research theme so searches run across a focused set of PDFs.
- 2
Import all relevant PDFs into the folder before searching, using the add files/plus workflow.
- 3
Use phrase vs keyword search carefully; removing quotation marks can resolve “no match” results when exact-phrase matching fails.
- 4
Capture terminological variants with wildcard-style search strings so one search retrieves concept synonyms (e.g., internal marketing and internal customer orientation).
- 5
Find definition-focused papers by combining the target concept with definitional verbs such as state/defined/referred (including variants).
- 6
Surface research gaps by searching for limitation language like limited/scarce/scarcity of research rather than reading every paper manually.
- 7
Use “theory” and “scale” searches to locate papers that apply theoretical lenses or include measurement instruments, then extract the relevant passages with proper citation formatting.