MAPPING KNOWLEDGE MANAGEMENT RESEARCH: A BIBLIOMETRIC OVERVIEW

Shashi,; Centobelli, P; Cerchione, R; Merigo, JM

MAPPING KNOWLEDGE MANAGEMENT RESEARCH: A BIBLIOMETRIC OVERVIEW

Shashi, Centobelli, P Cerchione, R Merigo, JM

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Publisher:: VILNIUS GEDIMINAS TECH UNIV
Publication Type:: Journal Article
Citation:: Technological and Economic Development of Economy, 2022, 28, (1), pp. 239-267
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Shashi,
dc.contributor.author	Centobelli, P
dc.contributor.author	Cerchione, R
dc.contributor.author	Merigo, JM
dc.date.accessioned	2023-03-30T13:39:41Z
dc.date.available	2023-03-30T13:39:41Z
dc.date.issued	2022-01-01
dc.identifier.citation	Technological and Economic Development of Economy, 2022, 28, (1), pp. 239-267
dc.identifier.issn	2029-4913
dc.identifier.issn	2029-4921
dc.identifier.uri	http://hdl.handle.net/10453/168871
dc.description.abstract	In recent years, knowledge management (KM) has consistently attained considerably growing research attention. Consequently, several literature reviews have been performed addressing different topic areas of KM. This paper seeks to present a comprehensive bibliometric and network analysis on KM to understand its development from the perspective of academic communities. Subsequently, it seeks to identify the structure of associations between prior and current themes, predict emerging trends and offer a longitudinal perspective on KM research. This study used web of science database and the initial sample was trimmed down by considering only the articles contributing to KM literature, and further 8,721 KM papers published in the last 30 years were systematically evaluated. The descriptive statistics and science mapping methods employing co-citation analysis were performed with VOSviewer software. In the descriptive analysis, we have analysed publication trends over time, geographical localization of the contributing institutions, journals, most prolific authors, top-performing institutions and most cited articles. Science mapping analysis is based on co-word analysis and co-citations analysis, namely articles’ co-citations and authors’ co-citations. The main findings of this paper will help researchers and academicians to develop knowledge in a specific sub-field by analysing the research outcomes of the papers included in the body of literature.
dc.language	English
dc.publisher	VILNIUS GEDIMINAS TECH UNIV
dc.relation.ispartof	Technological and Economic Development of Economy
dc.relation.isbasedon	10.3846/tede.2021.14088
dc.rights	info:eu-repo/semantics/openAccess
dc.title	MAPPING KNOWLEDGE MANAGEMENT RESEARCH: A BIBLIOMETRIC OVERVIEW
dc.type	Journal Article
utslib.citation.volume	28
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2023-03-30T13:39:40Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	28
utslib.citation.issue	1

Abstract:

In recent years, knowledge management (KM) has consistently attained considerably growing research attention. Consequently, several literature reviews have been performed addressing different topic areas of KM. This paper seeks to present a comprehensive bibliometric and network analysis on KM to understand its development from the perspective of academic communities. Subsequently, it seeks to identify the structure of associations between prior and current themes, predict emerging trends and offer a longitudinal perspective on KM research. This study used web of science database and the initial sample was trimmed down by considering only the articles contributing to KM literature, and further 8,721 KM papers published in the last 30 years were systematically evaluated. The descriptive statistics and science mapping methods employing co-citation analysis were performed with VOSviewer software. In the descriptive analysis, we have analysed publication trends over time, geographical localization of the contributing institutions, journals, most prolific authors, top-performing institutions and most cited articles. Science mapping analysis is based on co-word analysis and co-citations analysis, namely articles’ co-citations and authors’ co-citations. The main findings of this paper will help researchers and academicians to develop knowledge in a specific sub-field by analysing the research outcomes of the papers included in the body of literature.

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http://hdl.handle.net/10453/168871