Knowledge capabilities in supply chain networks: a taxonomy. Issue 3 (23rd March 2020)

• Record Type: Journal Article
• Authors: Ogulin, Robert; Guzman, Gustavo; Nuwangi, Subasinghage Maduka
• Is Part Of: Journal of knowledge management. Volume 24:Issue 3(2020)
• Page Start: 655
• Page End: 674
• Publication Date: 2020-03-23
• Subjects: Supply chain networks -- Knowledge capabilities -- Taxonomy -- Network types -- Exploitation -- Exploration; Knowledge management -- Periodicals; 658.4
• DOI: 10.1108/JKM-06-2019-0266
• Languages: English
• ISSNs: 1367-3270

Abstract

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.