Abstract
In this article, we follow a pragmatic approach of knowledge management (KM) that is deeply rooted in our experience within a large industrial company. Besides, referring to the concept of ‘commensurability of individuals' interpretative frameworks’, we argue that knowledge is not manageable as if it was data or information. That induces us to review the hierarchical view of ‘data, information, and knowledge’, and to propose a model (DITEK) that attempts to describe the transformation process from data to information and from information to tacit and explicit knowledge. Furthermore, we set forth three postulates that change the technological approach of KM, and we suggest a pragmatic definition of KM. This pragmatic vision is supported by our Model for General Knowledge Management within the Enterprise described in the article. It assists in conceiving a technological, organizational, and socio-technical well-balanced KM initiatives strategy.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
