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Opening the black box of knowledge management mechanisms: exploring knowledge flows at a consultancy.

Authors :
Richter, Janek
Basten, Dirk
Michalik, Bjoern
Rosenkranz, Christoph
Smolnik, Stefan
Source :
Kybernetes. 2023, Vol. 52 Issue 13, p1-28. 28p.
Publication Year :
2023

Abstract

Purpose: Based on an exploratory case-based approach, the purpose of this paper is to open the KM black box and examine the relationships that link knowledge management (KM) inputs (i.e. knowledge resources and KM practices) via knowledge processes to KM performance. This paper aims to identify the underlying mechanisms and explain how KM performance is enabled. Design/methodology/approach: This in-depth case study conducted at a medium-sized consultancy in the supply chain management industry empirically examines knowledge flows to uncover the relationships between KM inputs, knowledge processes and KM performance. We adopt the viable system model (VSM) as a theoretical lens to identify KM mechanisms. Findings: By identifying six KM mechanisms, we contribute to the theoretical understanding of how KM inputs are interconnected and lead to KM performance via knowledge processes. Originality/value: Based on the insights gained, we provide propositions that organizations should consider in designing viable KM. Our findings help organizations in understanding their KM with the help of knowledge flow analysis and identifying how critical KM elements are interconnected. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0368492X
Volume :
52
Issue :
13
Database :
Academic Search Index
Journal :
Kybernetes
Publication Type :
Periodical
Accession number :
174098544
Full Text :
https://doi.org/10.1108/K-08-2022-1118