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.
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.
The conceptual taxonomy details three archetypical knowledge capabilities – exploitation, exploration and ambidextrous. Those knowledge capabilities are required for efficient, collaborative and agile SCNs, respectively.
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.
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.
This is one of the earliest studies that attempt to unearth requisite knowledge capabilities for different types of SCNs.
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-06-2019-0266Download as .RIS
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