A Sociotechnical Approach for Knowledge Management (KM)

Fuente: arXiv
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Main Author: Jimenez, Leoncio
Format: Preprint
Published: 2025
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author Jimenez, Leoncio
author_facet Jimenez, Leoncio
contents This article presents a sociotechnical framework for KM. This sociotechnical vision of KM allows: (1) to remove KM from a commercial concern; (2) to divide the different KM technologies; and (3) to question the paradigms associated with the social and technical components of KM. It is precisely this last point that this article develops to identify the generic mechanisms of KM. More precisely, the social aspect is explained through the organizational approach to KM, the managerial approach to KM, and the biological approach to KM. In contrast, the technical aspect is described through the knowledge and skills engineering approach to KM. These approaches also lead us to provide a comparative table between these organizational, managerial, and biological visions of KM.
format Preprint
id arxiv_https___arxiv_org_abs_2502_06899
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Sociotechnical Approach for Knowledge Management (KM)
Jimenez, Leoncio
Databases
Artificial Intelligence
This article presents a sociotechnical framework for KM. This sociotechnical vision of KM allows: (1) to remove KM from a commercial concern; (2) to divide the different KM technologies; and (3) to question the paradigms associated with the social and technical components of KM. It is precisely this last point that this article develops to identify the generic mechanisms of KM. More precisely, the social aspect is explained through the organizational approach to KM, the managerial approach to KM, and the biological approach to KM. In contrast, the technical aspect is described through the knowledge and skills engineering approach to KM. These approaches also lead us to provide a comparative table between these organizational, managerial, and biological visions of KM.
title A Sociotechnical Approach for Knowledge Management (KM)
topic Databases
Artificial Intelligence
url https://arxiv.org/abs/2502.06899