Knowledge capabilities in supply chain networks: a taxonomy

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Ogulin, Robert
Guzman, Gustavo
Nuwangi, Subasinghage Maduka
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2020
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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.

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Journal of Knowledge Management

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24

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3

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© 2020 Emerald. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.

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Information and computing sciences

Commerce, management, tourism and services

Science & Technology

Social Sciences

Information Science & Library Science

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Ogulin, R; Guzman, G; Nuwangi, SM, Knowledge capabilities in supply chain networks: a taxonomy, , Journal of Knowledge Management, 2020, 24 (3)

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