IDEAS home Printed from
   My bibliography  Save this article

The strategic peril of information sharing in a vertical-Nash supply chain: A note


  • Bian, Junsong
  • Guo, Xiaolei
  • Lai, Kin Keung
  • Hua, Zhongsheng


Conventional wisdom suggests that information sharing benefits at least one of the participants. However, we find that information sharing can be strategically detrimental to both members in a vertical-Nash supply chain. Comparative statics show that each supply chain member׳s beneficial areas are smaller when its information source becomes more variable and larger as its signal is less accurate. Furthermore, the Pareto-inferior areas in which both supply chain members get worse are non-monotonic in exogenous parameters.

Suggested Citation

  • Bian, Junsong & Guo, Xiaolei & Lai, Kin Keung & Hua, Zhongsheng, 2014. "The strategic peril of information sharing in a vertical-Nash supply chain: A note," International Journal of Production Economics, Elsevier, vol. 158(C), pages 37-43.
  • Handle: RePEc:eee:proeco:v:158:y:2014:i:c:p:37-43
    DOI: 10.1016/j.ijpe.2014.07.016

    Download full text from publisher

    File URL:
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    1. Esther Gal-Or & Tansev Geylani & Anthony J. Dukes, 2008. "Information Sharing in a Channel with Partially Informed Retailers," Marketing Science, INFORMS, vol. 27(4), pages 642-658, 07-08.
    2. Dukes, Anthony & Gal-Or, Esther & Geylani, Tansev, 2011. "Who benefits from bilateral information exchange in a retail channel?," Economics Letters, Elsevier, vol. 112(2), pages 210-212, August.
    3. Jagmohan S. Raju & Abhik Roy, 2000. "Market Information and Firm Performance," Management Science, INFORMS, vol. 46(8), pages 1075-1084, August.
    4. Albert Y. Ha & Shilu Tong & Hongtao Zhang, 2011. "Sharing Demand Information in Competing Supply Chains with Production Diseconomies," Management Science, INFORMS, vol. 57(3), pages 566-581, March.
    5. Hau L. Lee & Kut C. So & Christopher S. Tang, 2000. "The Value of Information Sharing in a Two-Level Supply Chain," Management Science, INFORMS, vol. 46(5), pages 626-643, May.
    6. Shamir, Noam, 2012. "Strategic information sharing between competing retailers in a supply chain with endogenous wholesale price," International Journal of Production Economics, Elsevier, vol. 136(2), pages 352-365.
    7. Liang Guo, 2009. "The Benefits of Downstream Information Acquisition," Marketing Science, INFORMS, vol. 28(3), pages 457-471, 05-06.
    8. Jeong, In-Jae, 2012. "A centralized/decentralized design of a full return contract for a risk-free manufacturer and a risk-neutral retailer under partial information sharing," International Journal of Production Economics, Elsevier, vol. 136(1), pages 110-115.
    9. Ding, Huiping & Guo, Baochun & Liu, Zhishuo, 2011. "Information sharing and profit allotment based on supply chain cooperation," International Journal of Production Economics, Elsevier, vol. 133(1), pages 70-79, September.
    10. Vives, Xavier, 1984. "Duopoly information equilibrium: Cournot and bertrand," Journal of Economic Theory, Elsevier, vol. 34(1), pages 71-94, October.
    11. Gal-Or, Esther, 1985. "Information Sharing in Oligopoly," Econometrica, Econometric Society, vol. 53(2), pages 329-343, March.
    12. Wu, Cheng-Han & Chen, Chieh-Wan & Hsieh, Chung-Chi, 2012. "Competitive pricing decisions in a two-echelon supply chain with horizontal and vertical competition," International Journal of Production Economics, Elsevier, vol. 135(1), pages 265-274.
    13. Wu, Ing-Long & Chuang, Cheng-Hung & Hsu, Chien-Hua, 2014. "Information sharing and collaborative behaviors in enabling supply chain performance: A social exchange perspective," International Journal of Production Economics, Elsevier, vol. 148(C), pages 122-132.
    14. Zhang, Juliang & Chen, Jian, 2013. "Coordination of information sharing in a supply chain," International Journal of Production Economics, Elsevier, vol. 143(1), pages 178-187.
    15. Lingxiu Dong & Chakravarthi Narasimhan & Kaijie Zhu, 2009. "Product Line Pricing in a Supply Chain," Management Science, INFORMS, vol. 55(10), pages 1704-1717, October.
    16. S. Chan Choi, 1991. "Price Competition in a Channel Structure with a Common Retailer," Marketing Science, INFORMS, vol. 10(4), pages 271-296.
    17. Yue, Xiaohang & Mukhopadhyay, Samar K. & Zhu, Xiaowei, 2006. "A Bertrand model of pricing of complementary goods under information asymmetry," Journal of Business Research, Elsevier, vol. 59(10-11), pages 1182-1192, October.
    18. Chuan He & Johan Marklund & Thomas Vossen, 2008. "—Vertical Information Sharing in a Volatile Market," Marketing Science, INFORMS, vol. 27(3), pages 513-530, 05-06.
    19. Mukhopadhyay, Samar K. & Yao, Dong-Qing & Yue, Xiaohang, 2008. "Information sharing of value-adding retailer in a mixed channel hi-tech supply chain," Journal of Business Research, Elsevier, vol. 61(9), pages 950-958, September.
    20. Chu, Wai Hung Julius & Lee, Ching Chyi, 2006. "Strategic information sharing in a supply chain," European Journal of Operational Research, Elsevier, vol. 174(3), pages 1567-1579, November.
    21. Lode Li, 2002. "Information Sharing in a Supply Chain with Horizontal Competition," Management Science, INFORMS, vol. 48(9), pages 1196-1212, September.
    22. Esther Gal-Or, 1987. "First Mover Disadvantages with Private Information," Review of Economic Studies, Oxford University Press, vol. 54(2), pages 279-292.
    23. Cho, Myeonghwan & Jun, Byung-hill, 2013. "Information sharing with competition," Economics Letters, Elsevier, vol. 119(1), pages 81-84.
    24. Zhu, Xiaowei & Mukhopadhyay, Samar K. & Yue, Xiaohang, 2011. "Role of forecast effort on supply chain profitability under various information sharing scenarios," International Journal of Production Economics, Elsevier, vol. 129(2), pages 284-291, February.
    Full references (including those not matched with items on IDEAS)


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    Cited by:

    1. Titah, Ryad & Shuraida, Shadi & Rekik, Yacine, 2016. "Integration breach: Investigating the effect of internal and external information sharing and coordination on firm profit," International Journal of Production Economics, Elsevier, vol. 181(PA), pages 34-47.
    2. Kim Hua Tan & W. P. Wong & Leanne Chung, 2016. "Information and Knowledge Leakage in Supply Chain," Information Systems Frontiers, Springer, vol. 18(3), pages 621-638, June.
    3. Li, Tian & Zhang, Hongtao, 2015. "Information sharing in a supply chain with a make-to-stock manufacturer," Omega, Elsevier, vol. 50(C), pages 115-125.


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:proeco:v:158:y:2014:i:c:p:37-43. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.