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Information Sharing in Global Supply Chain Systems

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  • Barry Shore

Abstract

With increasing frequency the effective management and coordination of supply chains requires the sharing of a wide range of data. But the challenge, both technically and socially, to share information increases when customers and suppliers are spread throughout the geographic regions of the world. It is this challenge that is addressed here. First a conceptual framework is built. This framework classifies the stages of information sharing within a supply chain and proposes seven variables that affect the flow of information between customers and their suppliers. These variables include industry, market and competitive environment, national culture, corporate IT culture, size, IT infrastructure, and country IT support. The results are generalized and summarized in a Supply Chain IT Linkage Capability Model. Case studies of four organizations are presented and analyzed to validate the role of these variables in data sharing strategies. The paper concludes with several implications for global information technology supply chain management systems.

Suggested Citation

  • Barry Shore, 2001. "Information Sharing in Global Supply Chain Systems," Journal of Global Information Technology Management, Taylor & Francis Journals, vol. 4(3), pages 27-50, July.
    • Handle: RePEc:taf:ugitxx:v:4:y:2001:i:3:p:27-50
    DOI: 10.1080/1097198X.2001.10856306
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    Cited by:

    1. Kelle, Peter & Akbulut, Asli, 2005. "The role of ERP tools in supply chain information sharing, cooperation, and cost optimization," International Journal of Production Economics, Elsevier, vol. 93(1), pages 41-52, January.
    2. Chau Thi Diem Le & Miklós Pakurár & István András Kun & Judit Oláh, 2021. "The impact of factors on information sharing: An application of meta-analysis," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-24, December.
    3. Yilun Luo & Esmaeil Ahmadi & Benjamin C. McLellan & Tetsuo Tezuka, 2022. "Will Capacity Mechanisms Conflict with Carbon Pricing?," Energies, MDPI, vol. 15(24), pages 1-25, December.
    4. Antonello Cammarano & Vincenzo Varriale & Francesca Michelino & Mauro Caputo, 2023. "Blockchain as enabling factor for implementing RFID and IoT technologies in VMI: a simulation on the Parmigiano Reggiano supply chain," Operations Management Research, Springer, vol. 16(2), pages 726-754, June.

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