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Modeling and analysis of the multiperiod effects of social relationship on supply chain networks

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  • Cruz, Jose M.
  • Liu, Zugang

Abstract

In this paper, we analyze the effects of levels of social relationship on a multiperiod supply chain network with multiple decision-makers (suppliers, manufacturers, and retailers) associated at different tiers. The model incorporates the individual attitudes towards disruption and opportunism risks and allows us to investigate the interplay of the heterogeneous decision-makers and to compute the resultant network equilibrium pattern of production, transactions, prices, and levels of social relationship over the multiperiod planning horizon. In our analysis, we focus on the following questions: (1) how do the evolving relationships affect the profitability and risks of supply chain firms as well as the prices and demands of the product in the market? (2) how do the relationships with the upstream supply chain firms affect the relationships with the downstream firms, and how these relationships influence the profitability and risks of the supply chain firms? (3) how do the supply disruption risks interact with the opportunism risks through supply chain relationships, and how these risks influence the profitability of the firms? The results show that high levels of relationship can lead to lower supply chain overall cost, lower risk, lower prices, higher product transaction and therefore higher profit.

Suggested Citation

  • Cruz, Jose M. & Liu, Zugang, 2011. "Modeling and analysis of the multiperiod effects of social relationship on supply chain networks," European Journal of Operational Research, Elsevier, vol. 214(1), pages 39-52, October.
    • Handle: RePEc:eee:ejores:v:214:y:2011:i:1:p:39-52
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    References listed on IDEAS

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    1. Nagurney, Anna & Cruz, Jose & Dong, June & Zhang, Ding, 2005. "Supply chain networks, electronic commerce, and supply side and demand side risk," European Journal of Operational Research, Elsevier, vol. 164(1), pages 120-142, July.
    2. Joskow, Paul L, 1988. "Asset Specificity and the Structure of Vertical Relationships: Empirical Evidence," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 4(1), pages 95-117, Spring.
    3. Cruz, Jose M., 2008. "Dynamics of supply chain networks with corporate social responsibility through integrated environmental decision-making," European Journal of Operational Research, Elsevier, vol. 184(3), pages 1005-1031, February.
    4. Shantanu Dutta & Mark Bergen & George John, 1994. "The Governance of Exclusive Territories When Dealers can Bootleg," Marketing Science, INFORMS, vol. 13(1), pages 83-99.
    5. William L. Wilkie & Carl F. Mela & Gregory T. Gundlach, 1998. "Does “Bait and Switch” Really Benefit Consumers?," Marketing Science, INFORMS, vol. 17(3), pages 273-282.
    6. Cruz, Jose M. & Wakolbinger, Tina, 2008. "Multiperiod effects of corporate social responsibility on supply chain networks, transaction costs, emissions, and risk," International Journal of Production Economics, Elsevier, vol. 116(1), pages 61-74, November.
    7. Parlar, Mahmut, 1997. "Continuous-review inventory problem with random supply interruptions," European Journal of Operational Research, Elsevier, vol. 99(2), pages 366-385, June.
    8. Tang, Christopher S., 2006. "Perspectives in supply chain risk management," International Journal of Production Economics, Elsevier, vol. 103(2), pages 451-488, October.
    9. Tina Wakolbinger & Anna Nagurney, 2004. "Dynamic supernetworks for the integration of social networks and supply chains with electronic commerce: modeling and analysis of buyer–seller relationships with computations," Netnomics, Springer, vol. 6(2), pages 153-185, October.
    10. Brian Tomlin, 2006. "On the Value of Mitigation and Contingency Strategies for Managing Supply Chain Disruption Risks," Management Science, INFORMS, vol. 52(5), pages 639-657, May.
    11. William M. Dugger, 1996. "The Mechanisms of Governance," Journal of Economic Issues, Taylor & Francis Journals, vol. 30(4), pages 1212-1216, December.
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