The DOI matches its Crossref record; 95 of the 95 references it cites were found in a registry or an index.
Knowledge management: A global examination based on bibliometric analysis
Open accessAbstract
Abstract Knowledge management (KM) is a field of research that has gained wide acceptance in the scientific community and management literature. This article presents a bibliometric overview of the academic research on KM in the business and management areas. Various bibliometric methods are used to perform this overview, including performance analysis and science mapping of the KM field. The performance analysis uses a series of bibliometric indicators, such as the h-index, productivity and citations. In addition, the VOSviewer software is used to map the bibliographic material. Science mapping uses co-citations and the concurrency of keywords. References were obtained from the Web of Science database. We identified and classified the most relevant research in the field according to journals, articles, authors, institutions and countries. The results show that research in this field has increased significantly in the last ten years and that the USA is the most influential country in all aspects in this field. It is important to consider, however, that science continues to advance in this and in all fields and that data rapidly change over time. Therefore, this paper fulfills an informational role that shows that most of the fundamental research of KM is in business and management areas.
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Cites
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Cohen, W. M., & Levinthal, D. A. (1990) · Administrative Science Quarterly · doi:10.2307/2393553 · Cited by 35,728
Software survey: VOSviewer, a computer program for bibliometric mapping
van Eck, N. J., & Waltman, L. (2010) · Scientometrics · doi:10.1007/s11192-009-0146-3 · Cited by 21,484
A Dynamic Theory of Organizational Knowledge Creation
Nonaka, I. (1994) · Organization Science · doi:10.1287/orsc.5.1.14 · Cited by 17,809
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The Knowledge-creating company: How Japanese companies create the dynamics of innovation
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POLANYI, M. (1997) · Knowledge in Organisations · doi:10.1016/b978-0-7506-9718-7.50010-x · Cited by 12,408
An index to quantify an individual’s scientific research output
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Research works printed but not linked: 4
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Cited by
Martins, V. W. B., Rampasso, I. S., Anholon, R., Quelhas, O. L. G., & Leal Filho, W. (2019) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.04.354 · Cited by 369
Twenty years of the Journal of Knowledge Management: a bibliometric analysis
Gaviria-Marin, M., Merigo, J. M., & Popa, S. (2018) · Journal of Knowledge Management · doi:10.1108/jkm-10-2017-0497 · Cited by 346
Self-citationEntrepreneurial universities: A bibliometric analysis within the business and management domains
Forliano, C., De Bernardi, P., & Yahiaoui, D. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.120522 · Cited by 298
Mas-Tur, A., Roig-Tierno, N., Sarin, S., Haon, C., Sego, T., Belkhouja, M., Porter, A., & Merigó, J. M. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.120487 · Cited by 147
Self-citationGibbin, R. V., Sigahi, T. F. A. C., Pinto, J. D. S., Rampasso, I. S., & Anholon, R. (2023) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2023.137753 · Cited by 38
Metadata
- Authors
- Gaviria-Marin, M., Merigó, J. M., & Baier-Fuentes, H.
- Venue
- Technological Forecasting and Social Change
- Publisher
- Elsevier BV
- Published
- 2019-03
- Volume
- 140
- Pages
- 194-220
- ISSN
- 0040-1625 (ISSN-L)
- OpenAlex
- W2886191303
- Cited by
- 560
- References
- 95
- FWCI
- 24.41
- Type
- journal article
- Language
- en
- Open access
- green
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
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- Gaviria-Marin, M., Merigó, J. M., & Baier-Fuentes, H. (2019). Knowledge management: A global examination based on bibliometric analysis. Technological Forecasting and Social Change. https://doi.org/10.1016/j.techfore.2018.07.006
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.
