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The impact of information sharing on supply chain learning and flexibility performance

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  • Baofeng Huo
  • Muhammad Zia Ul Haq
  • Minhao Gu

Abstract

Despite the importance of supply chain learning for competitiveness, little is known about how to enable such learning. This study empirically investigates the impact of information sharing on different types of supply chain learning (internal, supplier, and customer learning) and their influences on flexibility performance. Grounded in absorptive capacity theory, we use structural equation modelling to test the conceptual model based on data collected from 213 manufacturing firms in China. We find that supplier and customer learning improve internal learning. Further, our findings indicate that information sharing improves all three dimensions of supply chain learning. We also find that internal and customer learning have direct influences on flexibility performance, whereas internal learning mediates the relationship between supplier learning and flexibility performance. Moreover, information sharing moderates the relationship between supplier learning and flexibility performance. Our findings contribute to the literature and offer a new framework to understand the relationship between information sharing, supply chain learning and flexibility performance. The findings also furnish managers to seek competitive advantage through information sharing and supply chain learning.

Suggested Citation

  • Baofeng Huo & Muhammad Zia Ul Haq & Minhao Gu, 2021. "The impact of information sharing on supply chain learning and flexibility performance," International Journal of Production Research, Taylor & Francis Journals, vol. 59(5), pages 1411-1434, March.
  • Handle: RePEc:taf:tprsxx:v:59:y:2021:i:5:p:1411-1434
    DOI: 10.1080/00207543.2020.1824082
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    Citations

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    Cited by:

    1. Wang, Qianwen & Liu, Xu & Hu, Miao & Huo, Baofeng, 2024. "A reductionistic or holistic approach? The impacts of fit patterns of supplier and customer integration on company and supply chain performance," International Journal of Production Economics, Elsevier, vol. 273(C).
    2. Junaid, Muhammad & Zhang, Qingyu & Cao, Mei & Luqman, Adeel, 2023. "Nexus between technology enabled supply chain dynamic capabilities, integration, resilience, and sustainable performance: An empirical examination of healthcare organizations," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    3. Li, Siyu & Huo, Baofeng & Wang, Qiang, 2023. "The impact of buyer-supplier communication on performance: A contingency and configuration approach," International Journal of Production Economics, Elsevier, vol. 257(C).
    4. Federica Acerbi & Claudio Sassanelli & Marco Taisch, 2022. "A conceptual data model promoting data-driven circular manufacturing," Operations Management Research, Springer, vol. 15(3), pages 838-857, December.
    5. Yanling Yang & Yanling Zheng & Guojie Xie & Yu Tian, 2022. "The Influence Mechanism of Strategic Partnership on Enterprise Performance: Exploring the Chain Mediating Role of Information Sharing and Supply Chain Flexibility," Sustainability, MDPI, vol. 14(8), pages 1-23, April.
    6. Panpan Li & Baojun Zhang & Ying Ji, 2024. "A study on supply chain optimization with uncertain demand under the cap-and-trade system," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(7), pages 17449-17473, July.

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