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Unleashing the power of supply chain learning: an empirical investigation

Liu, Xiaohung, Tse, Ying Kei ORCID: https://orcid.org/0000-0001-6174-0326, Wang, Shiyun and Sun, Ruiqing 2023. Unleashing the power of supply chain learning: an empirical investigation. International Journal of Operations and Production Management 43 (8) , pp. 1250-1276. 10.1108/IJOPM-09-2022-0555

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Abstract

Purpose Organisational learning plays a critical role for firms to keep abreast of a supply chain environment filled with volatility, uncertainty, complexity and ambiguity (VUCA). This study investigates the extent to which supply chain learning (SCL) affects operational resilience under such circumstances. Design/methodology/approach This study developed a research framework and underlying hypotheses based on SCL and information processing theory (IPT). An empirical test was carried out using secondary data derived from the “Supply Chain Policy” launched by the Chinese government and two large related conferences. Findings SCL positively relates to operational resilience, and several moderators influence the relationship between them. The authors argue that digital-technological diversity could weaken the role of SCL in operational resilience, whereas customer concentration, and participating in a pilot programme could enhance the effect of SCL. Practical implications Firms should embrace the power of SCL in building resilience in the VUCA era. Meanwhile, they should be cautious of a digital-technological diversification strategy, appraise the customer base profile and proactively engage in pilot programmes. Originality/value This research develops the SCL construct further in the context of China and empirically measures its power on operational resilience using a unique dataset. This contributes to the theorisation of SCL.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Business (Including Economics)
Publisher: Emerald
ISSN: 0144-3577
Date of First Compliant Deposit: 20 March 2023
Date of Acceptance: 15 March 2023
Last Modified: 08 Nov 2023 09:33
URI: https://orca.cardiff.ac.uk/id/eprint/157805

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