Richter, Janek ORCID: 0000-0003-3189-9357, Basten, Dirk ORCID: 0000-0002-5165-8211, Michalik, Bjoern, Rosenkranz, Christoph and Smolnik, Stefan (2023). Opening the black box of knowledge management mechanisms: exploring knowledge flows at a consultancy. Kybernetes, 52 (13). pp. 1-28. ISSN 0368-492X

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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.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Richter, JanekUNSPECIFIEDorcid.org/0000-0003-3189-9357UNSPECIFIED
Basten, DirkUNSPECIFIEDorcid.org/0000-0002-5165-8211UNSPECIFIED
Michalik, BjoernUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Rosenkranz, ChristophUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Smolnik, StefanUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-654054
DOI: 10.1108/K-08-2022-1118
Journal or Publication Title: Kybernetes
Volume: 52
Number: 13
Page Range: pp. 1-28
Date: 2023
ISSN: 0368-492X
Language: English
Faculty: Faculty of Management, Economy and Social Sciences
Divisions: Weitere Institute, Arbeits- und Forschungsgruppen > Cologne Institute for Information Systems (CIIS)
Subjects: Data processing Computer science
Technology (Applied sciences)
Refereed: Yes
URI: http://kups.ub.uni-koeln.de/id/eprint/65405

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