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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Martins, J. N., Bravo, J. M. & Martins, J. M. (2024). Mapping the scientific landscape of knowledge management in IT SMEs: A bibliometric analysis. International Journal of Innovation and Technology Management. 21 (7)
Exportar Referência (IEEE)
J. N. Martins et al.,  "Mapping the scientific landscape of knowledge management in IT SMEs: A bibliometric analysis", in Int. Journal of Innovation and Technology Management, vol. 21, no. 7, 2024
Exportar BibTeX
@article{martins2024_1766474110475,
	author = "Martins, J. N. and Bravo, J. M. and Martins, J. M.",
	title = "Mapping the scientific landscape of knowledge management in IT SMEs: A bibliometric analysis",
	journal = "International Journal of Innovation and Technology Management",
	year = "2024",
	volume = "21",
	number = "7",
	doi = "10.1142/S0219877024300064",
	url = "https://www.worldscientific.com/worldscinet/ijitm"
}
Exportar RIS
TY  - JOUR
TI  - Mapping the scientific landscape of knowledge management in IT SMEs: A bibliometric analysis
T2  - International Journal of Innovation and Technology Management
VL  - 21
IS  - 7
AU  - Martins, J. N.
AU  - Bravo, J. M.
AU  - Martins, J. M.
PY  - 2024
SN  - 0219-8770
DO  - 10.1142/S0219877024300064
UR  - https://www.worldscientific.com/worldscinet/ijitm
AB  - 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.
ER  -