Knowledge capabilities in supply chain networks: a taxonomy
Journal of Knowledge Management
ISSN: 1367-3270
Article publication date: 19 March 2020
Issue publication date: 27 May 2020
Abstract
Purpose
This paper aims to develop a conceptual taxonomy for building requisite knowledge capabilities for different supply chain network (SCN) types. Specifically, it examines knowledge capabilities required for three types of SCNs: efficient, collaborative and agile SCNs.
Design/methodology/approach
This paper integrates two bodies of thought (i.e. knowledge management and organisational learning) and applies them to SCNs. An abductive research process is used to develop this conceptual taxonomy.
Findings
The conceptual taxonomy details three archetypical knowledge capabilities – exploitation, exploration and ambidextrous. Those knowledge capabilities are required for efficient, collaborative and agile SCNs, respectively.
Research limitations/implications
This paper is conceptual and theory-based. The next stages of the research seek to further strengthen the explanatory value of the taxonomy through empirical validation.
Practical implications
The taxonomy developed in this paper provides a valuable and pragmatic tool for managerial decision-making in the context of SCNs. Specifically, it provides a roadmap for practitioners since the study develops an understanding of the relationship between knowledge capabilities and types of SCNs.
Originality/value
This is one of the earliest studies that attempt to unearth requisite knowledge capabilities for different types of SCNs.
Keywords
Citation
Ogulin, R., Guzman, G. and Nuwangi, S.M. (2020), "Knowledge capabilities in supply chain networks: a taxonomy", Journal of Knowledge Management, Vol. 24 No. 3, pp. 655-674. https://doi.org/10.1108/JKM-06-2019-0266
Publisher
:Emerald Publishing Limited
Copyright © 2020, Emerald Publishing Limited