The DOI matches its Crossref record; 82 of the 82 references it cites were found in a registry or an index.
How to design bibliometric research: an overview and a framework proposal
Open accessAbstract
Bibliometric analysis has recently become a popular and rigorous technique used for exploring and analyzing the literature in business and management. Prior studies principally focused on ‘how to do bibliometric analysis’, presenting an overview of the bibliometric methodology along with various techniques and step-by-step guidelines that can be relied on to rigorously conduct bibliometric analysis. However, the current body of evidence is limited in its ability to provide practical knowledge that can enhance the design and performance of bibliometric research. This claim is supported even by the fact that relevant studies refer to their work as ‘bibliometric analysis’ rather than ‘bibliometric research’. Accordingly, we endeavor to offer a more functional framework for researchers who wish to design/conduct bibliometric research on any field of research, especially business and management. To do this, we followed a twofold way. We first outlined the main stages and steps of typical bibliometric research. Then, we proposed a comprehensive framework for specifying how to design/conduct the research and under what headings the relevant stages (step-by-step) will be used and/or presented. Thus, the current paper is expected to be a useful source to gain insights into the available techniques and guide researchers in designing/conducting bibliometric research.
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Citations
Cites
Case Study Research: Design and Methods
Chaiklin, H. (1991) · The Journal of Nervous and Mental Disease · doi:10.1097/00005053-199102000-00025 · Cited by 39,535
bibliometrix: An R-tool for comprehensive science mapping analysis
Aria, M., & Cuccurullo, C. (2017) · Journal of Informetrics · doi:10.1016/j.joi.2017.08.007 · Cited by 16,064 · cited 3×
“…field, evolutionary nuances of the field, identifying the research clusters that form the field, capturing emerging trends, and getting a broad perspective on the concepts that are the focus of the field and their relationships (Aria and Cuccurullo 2017; Mukherjee et al. 2022b; Kraus et al. 2024).”
Tranfield, D., Denyer, D., & Smart, P. (2003) · British Journal of Management · doi:10.1111/1467-8551.00375 · Cited by 15,386
How to conduct a bibliometric analysis: An overview and guidelines
Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2021.04.070 · Cited by 14,329
Literature review as a research methodology: An overview and guidelines
Snyder, H. (2019) · Journal of Business Research · doi:10.1016/j.jbusres.2019.07.039 · Cited by 11,524
Bibliometric Methods in Management and Organization
Zupic, I., & Čater, T. (2015) · Organizational Research Methods · doi:10.1177/1094428114562629 · Cited by 7,495
(1998) · UWA Profiles and Research Repository (UWA) · Cited by 4,686
Visualizing Bibliometric Networks
van Eck, N. J., & Waltman, L. (2014) · Measuring Scholarly Impact · doi:10.1007/978-3-319-10377-8_13 · Cited by 3,342
Science mapping software tools: Review, analysis, and cooperative study among tools
Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.21525 · Cited by 3,242
The bibliometric analysis of scholarly production: How great is the impact?
Ellegaard, O., & Wallin, J. A. (2015) · Scientometrics · doi:10.1007/s11192-015-1645-z · Cited by 3,115
Cited by
The new normal: The status quo of AI adoption in SMEs
Schwaeke, J., Peters, A., Kanbach, D. K., Kraus, S., & Jones, P. (2025) · Journal of Small Business Management · doi:10.1080/00472778.2024.2379999 · Cited by 241
Self-citationThe rise of artificial intelligence for cognitive behavioral therapy: A bibliometric overview
Vanhée, L., Andersson, G., Garcia, D., & Sikström, S. (2025) · Applied Psychology Health and Well-Being · doi:10.1111/aphw.70033 · Cited by 14
Metadata
- Authors
- Öztürk, O., Kocaman, R., & Kanbach, D. K.
- Venue
- Review of Managerial Science
- Published
- 2024-03-06
- Volume
- 18
- Issue
- 11
- Pages
- 3333-3361
- ISSN
- 1863-6683 (ISSN-L)
- 1863-6691
- OpenAlex
- W4392513195
- Cited by
- 719
- References
- 82
- FWCI
- 202.08
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Öztürk, O., Kocaman, R., & Kanbach, D. K. (2024). How to design bibliometric research: an overview and a framework proposal. Review of Managerial Science. https://doi.org/10.1007/s11846-024-00738-0
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.