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Leveraging information sharing to configure supply chains

Author

Listed:
  • Rong Liu

    (IBM T.J. Watson Research Center)

  • Akhil Kumar

    (Penn State University)

Abstract

As supply chains evolve beyond the confines of individual organizations, information sharing has become the holy grail in supply chain technology. Although the value of information sharing is well recognized, there is little research on how to use it to configure supply chains. This paper proposes a parameterized model to capture information sharing in a supply chain. By changing the parameters of this model, we actually adjust the degree of information sharing and create new supply chain configurations. Configurations are the means of responding to events or changes in supply chains in a timely manner. A complete example is used to demonstrate this methodology. We also perform simulation experiments to compare configurations and to understand the effect of information sharing on supply chain performance. Thus, we show how to achieve supply chain configurability by leveraging information sharing. A supply chain architecture which allows agility, adaptability and alignment of partner interests is also proposed based on this methodology.

Suggested Citation

  • Rong Liu & Akhil Kumar, 2011. "Leveraging information sharing to configure supply chains," Information Systems Frontiers, Springer, vol. 13(1), pages 139-151, March.
    • Handle: RePEc:spr:infosf:v:13:y:2011:i:1:d:10.1007_s10796-009-9222-8
    DOI: 10.1007/s10796-009-9222-8
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    References listed on IDEAS

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    1. M. Bensaou & N. Venkatraman, 1995. "Configurations of Interorganizational Relationships: A Comparison Between U.S. and Japanese Automakers," Management Science, INFORMS, vol. 41(9), pages 1471-1492, September.
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    Cited by:

    1. Zhibo Pang & Qiang Chen & Weili Han & Lirong Zheng, 2015. "Value-centric design of the internet-of-things solution for food supply chain: Value creation, sensor portfolio and information fusion," Information Systems Frontiers, Springer, vol. 17(2), pages 289-319, April.
    2. Hang Yang & Simon Fong, 2013. "Optimizing dynamic supply chain formation in supply mesh using CSET model," Information Systems Frontiers, Springer, vol. 15(4), pages 569-588, September.
    3. Shivam Gupta & Vinayak A. Drave & Surajit Bag & Zongwei Luo, 2019. "Leveraging Smart Supply Chain and Information System Agility for Supply Chain Flexibility," Information Systems Frontiers, Springer, vol. 21(3), pages 547-564, June.
    4. Chulhwan Chris Bang, 2015. "Information systems frontiers: Keyword analysis and classification," Information Systems Frontiers, Springer, vol. 17(1), pages 217-237, February.
    5. Durugbo, Christopher & Tiwari, Ashutosh & Alcock, Jeffrey R., 2013. "Modelling information flow for organisations: A review of approaches and future challenges," International Journal of Information Management, Elsevier, vol. 33(3), pages 597-610.
    6. Yen-Chun Chou & Benjamin B. M. Shao, 2023. "An Empirical Study of Information Technology Capabilities to Enable Value Chain Activities and Interfaces," Information Systems Frontiers, Springer, vol. 25(4), pages 1533-1547, August.

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