Mapping the Scientific Landscape of Knowledge Management in IT SMEs: A Bibliometric Analysis

Jéssica Nunes Martins, Jorge Bravo and José Moleiro Martins
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Jéssica Nunes Martins: NOVA Information Management School (NOVA IMS), Universidade NOVA de Lisboa, Campus de Campolide, Lisbon 1070-312, Portugal
José Moleiro Martins: Department of Management, ISCAL — Polytechnic Institute of Lisbon, Av. Miguel Bombarda 20, Lisbon 1069-035, Portugal7Business Research Unit (BRU-IUL), Instituto Universitário de Lisboa (ISCTE-IUL), Lisbon 1649-026, Portugal

International Journal of Innovation and Technology Management (IJITM), 2024, vol. 21, issue 07, 1-30

Abstract: This study embarks on a comprehensive bibliometric analysis to elucidate the intricate relationship between knowledge management capabilities and perceived performance within information technology small and medium-sized enterprises (IT SMEs). Utilizing data from the Web of Science and Scopus databases, this research meticulously examines occurrences, word frequencies, and clustering analyses to identify pivotal thematic areas influencing IT SMEs. By employing advanced tools such as RStudio software and the Biblioshiny application, the study dissects average citations per year, presenting a dynamic view of research impact and evolving significance in the domain. Authorship dynamics are explored through Lotka’s law, and geographic contributions are analyzed, highlighting the global and collaborative essence of knowledge management research. Factorial analysis further reveals layered dimensions of research trends, offering guidance for researchers and practitioners in crafting nuanced strategies. The collective insights underscore the paramount role of knowledge management in enhancing IT SMEs’ performance and competitive edge, marking a significant stride toward understanding and implementing effective knowledge management strategies in the rapidly evolving IT landscape.

Keywords: Knowledge management; IT SMEs; performance; bibliometric analysis; innovation; competitiveness; research trends (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1142/S0219877024300064

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