The Research Gap: Concept, Typology, and a Nine-Fold Operational Framework for Identification in Quantitative and Qualitative Inquiry
Identifying a research gap is the first and, in many respects, the most consequential decision a scholar makes when designing a study; its quality shapes the fate of a manuscript, dissertation, or grant proposal in the eyes of reviewers, particularly at Q1 journals (Miles, 2017; Alvesson & Sandberg, 2011). Empirical evidence, however, suggests that many researchers, and especially doctoral candidates, struggle to distinguish among closely related constructs such as knowledge gap, literature gap, novelty, originality, and theoretical contribution, and that the standard advice offered in methodology handbooks (consult sections on future research, read review articles, examine reported limitations) is inadequate for producing gaps that are both authentic and defensible (Chatterjee & Davison, 2021; Baako et al., 2022; Manchishi et al., 2015). Grounded in a systematic and scoping review of more than fifty English-language sources published between 2005 and 2026, this article pursues four objectives. First, it develops a rigorous conceptual account of the research gap and differentiates it from adjacent concepts. Second, it synthesizes Miles (2017) seven-fold classification with contemporary literature to propose a fourteen-fold typology. Third, it critiques the dominant gap-spotting approach and articulates the alternative logic of problematization (Alvesson & Sandberg, 2011, 2013). Fourth, and most consequential for practice, it introduces a nine-fold operational framework that combines systematic search, evidence synthesis (PRISMA 2020, scoping and umbrella reviews), bibliometric analysis, citation network analysis, artificial intelligence assisted discovery (Elicit, Research Rabbit, Litmaps, Scite.ai, Semantic Scholar, Consensus), topic modeling, expert interviews, problematization, and meta-analytic heterogeneity assessment. The article closes with a ten-criterion validation checklist and an illustrative case study. We argue that authentic research gaps are neither purely discovered nor purely constructed; they emerge from the disciplined interplay of empirical mapping, field engagement, and critical interrogation of paradigmatic assumptions.
Authors
- Mohsen Moradi (ORCID: https://orcid.org/0000-0002-8990-1328)
- Aida Miralamsi (ORCID: https://orcid.org/0009-0002-0208-6082)
Institutions
- Quantitative BioSciences (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-08-20
- DOI
- https://doi.org/10.5281/zenodo.22035582
- Primary Topic
- Computational and Text Analysis Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00