IDEAS home Printed from https://ideas.repec.org/a/inm/ormksc/v35y2016i5p800-809.html
   My bibliography  Save this article

To Share or Not to Share: Demand Forecast Sharing in a Distribution Channel

Author

Listed:
  • Baojun Jiang

    (Olin Business School, Washington University in St. Louis, St. Louis, Missouri 63130)

  • Lin Tian

    (School of International Business Administration, Shanghai University of Finance and Economics, 200433 Shanghai, China)

  • Yifan Xu

    (School of Management, Fudan University, 200433 Shanghai, China)

  • Fuqiang Zhang

    (Olin Business School, Washington University in St. Louis, St. Louis, Missouri 63130)

Abstract

This paper studies information sharing in a distribution channel where the manufacturer possesses better demand-forecast information than the downstream retailer. We examine three information-sharing formats: no information sharing (i.e., the manufacturer ex ante commits to not sharing its forecast), voluntary information sharing (i.e., the manufacturer makes the sharing decision ex post after receiving the forecast), and mandatory information sharing (i.e., the manufacturer is mandated to share its forecast). We characterize the equilibrium outcomes under the three sharing formats and investigate the firms’ preferences regarding these formats. It is shown that when the retailer is risk-neutral, both firms are indifferent between voluntary and mandatory sharing. Among the three formats, ex ante, the retailer prefers the no-sharing format whereas the manufacturer prefers the mandatory-sharing format. In addition, we find that a more accurate forecast benefits both firms under voluntary- and mandatory-sharing formats, but may hurt both firms under the no-sharing format. Finally, we show that risk aversion plays a critical role in the firms’ sharing decisions and the impact of forecast accuracy. Specifically, when the retailer is risk-averse, the manufacturer may prefer the no-sharing format over the voluntary-sharing format, and improving forecast accuracy may hurt both firms even under voluntary sharing.

Suggested Citation

  • Baojun Jiang & Lin Tian & Yifan Xu & Fuqiang Zhang, 2016. "To Share or Not to Share: Demand Forecast Sharing in a Distribution Channel," Marketing Science, INFORMS, vol. 35(5), pages 800-809, September.
  • Handle: RePEc:inm:ormksc:v:35:y:2016:i:5:p:800-809
    DOI: 10.1287/mksc.2016.0981
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mksc.2016.0981
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mksc.2016.0981?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. In-Koo Cho & David M. Kreps, 1987. "Signaling Games and Stable Equilibria," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 102(2), pages 179-221.
    2. Jean Tirole, 1988. "The Theory of Industrial Organization," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262200716, April.
    3. Liang Guo & Ganesh Iyer, 2010. "Information Acquisition and Sharing in a Vertical Relationship," Marketing Science, INFORMS, vol. 29(3), pages 483-506, 05-06.
    4. Yossi Aviv, 2001. "The Effect of Collaborative Forecasting on Supply Chain Performance," Management Science, INFORMS, vol. 47(10), pages 1326-1343, October.
    5. 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.
    6. 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.
    7. Lode Li & Hongtao Zhang, 2008. "Confidentiality and Information Sharing in Supply Chain Coordination," Management Science, INFORMS, vol. 54(8), pages 1467-1481, August.
    8. Preyas S. Desai & Kannan Srinivasan, 1995. "Demand Signalling Under Unobservable Effort in Franchising: Linear and Nonlinear Price Contracts," Management Science, INFORMS, vol. 41(10), pages 1608-1623, October.
    9. Ganesh Iyer & Chakravarthi Narasimhan & Rakesh Niraj, 2007. "Information and Inventory in Distribution Channels," Management Science, INFORMS, vol. 53(10), pages 1551-1561, October.
    10. 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.
    11. Liang Guo, 2009. "The Benefits of Downstream Information Acquisition," Marketing Science, INFORMS, vol. 28(3), pages 457-471, 05-06.
    12. 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.
    13. Sridhar Moorthy & Kannan Srinivasan, 1995. "Signaling Quality with a Money-Back Guarantee: The Role of Transaction Costs," Marketing Science, INFORMS, vol. 14(4), pages 442-466.
    14. Preyas S. Desai, 2000. "Multiple Messages to Retain Retailers: Signaling New Product Demand," Marketing Science, INFORMS, vol. 19(4), pages 381-389, August.
    15. Gérard P. Cachon & Marshall Fisher, 2000. "Supply Chain Inventory Management and the Value of Shared Information," Management Science, INFORMS, vol. 46(8), pages 1032-1048, August.
    16. Lode Li, 2002. "Information Sharing in a Supply Chain with Horizontal Competition," Management Science, INFORMS, vol. 48(9), pages 1196-1212, September.
    17. Nancy T. Gallini & Brian D. Wright, 1990. "Technology Transfer under Asymmetric Information," RAND Journal of Economics, The RAND Corporation, vol. 21(1), pages 147-160, Spring.
    18. Baojun Jiang & Kinshuk Jerath & Kannan Srinivasan, 2011. "Firm Strategies in the "Mid Tail" of Platform-Based Retailing," Marketing Science, INFORMS, vol. 30(5), pages 757-775, September.
    19. Duncan Simester, 1995. "Signalling Price Image Using Advertised Prices," Marketing Science, INFORMS, vol. 14(2), pages 166-188.
    20. Baojun Jiang & Jian Ni & Kannan Srinivasan, 2014. "Signaling Through Pricing by Service Providers with Social Preferences," Marketing Science, INFORMS, vol. 33(5), pages 641-654, September.
    21. Julia Miyaoka & Warren H. Hausman, 2008. "How Improved Forecasts Can Degrade Decentralized Supply Chains," Manufacturing & Service Operations Management, INFORMS, vol. 10(3), pages 547-562, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Brian Mittendorf & Jiwoong Shin & Dae-Hee Yoon, 2013. "Manufacturer marketing initiatives and retailer information sharing," Quantitative Marketing and Economics (QME), Springer, vol. 11(2), pages 263-287, June.
    2. Brian Mittendorf & Jiwoong Shin & Dae-Hee Yoon, 2013. "Manufacturer marketing initiatives and retailer information sharing," Quantitative Marketing and Economics (QME), Springer, vol. 11(2), pages 263-287, 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.
    4. Noam Shamir, 2017. "Cartel Formation Through Strategic Information Leakage in a Distribution Channel," Marketing Science, INFORMS, vol. 36(1), pages 70-88, January.
    5. Arcan Nalca, & Tamer Boyaci, & Saibal Ray, 2017. "Consumer taste uncertainty in the context of store brand and national brand competition," ESMT Research Working Papers ESMT-17-01, ESMT European School of Management and Technology.
    6. Aditya Jain, 2022. "Sharing Demand Information with Retailer Under Upstream Competition," Management Science, INFORMS, vol. 68(7), pages 4983-5001, July.
    7. Yushi Tsunoda & Yusuke Zennyo, 2021. "Platform Information Transparency and Effects on Third‐Party Suppliers and Offline Retailers," Production and Operations Management, Production and Operations Management Society, vol. 30(11), pages 4219-4235, November.
    8. Long Gao & Birendra K. Mishra, 2019. "The Role of Market Evolution in Channel Contracting," Management Science, INFORMS, vol. 67(5), pages 2432-2441, May.
    9. Zhang, Jian & Nault, Barrie R., 2023. "Information sharing in an MTO supply chain with upstream adjustments," European Journal of Operational Research, Elsevier, vol. 308(1), pages 97-112.
    10. Arcan Nalca, & Tamer Boyaci, & Saibal Ray, 2017. "Brand positioning and consumer taste information," ESMT Research Working Papers ESMT-17-01_R1, ESMT European School of Management and Technology, revised 04 Dec 2017.
    11. 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.
    12. Wei-Shiun Chang & Daniel A. Sanchez-Loor, 2020. "Downstream Information Leaking and Information Sharing Between Partially Informed Retailers," Journal of Industry, Competition and Trade, Springer, vol. 20(4), pages 733-760, December.
    13. Leon Yang Chu & Noam Shamir & Hyoduk Shin, 2017. "Strategic Communication for Capacity Alignment with Pricing in a Supply Chain," Management Science, INFORMS, vol. 63(12), pages 4366-4377, December.
    14. Guo Li & Lin Tian & Hong Zheng, 2021. "Information Sharing in an Online Marketplace with Co‐opetitive Sellers," Production and Operations Management, Production and Operations Management Society, vol. 30(10), pages 3713-3734, October.
    15. Baojun Jiang & Bicheng Yang, 2019. "Quality and Pricing Decisions in a Market with Consumer Information Sharing," Management Science, INFORMS, vol. 65(1), pages 272-285, January.
    16. 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.
    17. Liang Guo & Ganesh Iyer, 2010. "Information Acquisition and Sharing in a Vertical Relationship," Marketing Science, INFORMS, vol. 29(3), pages 483-506, 05-06.
    18. Liu, Molin & Dan, Bin & Zhang, Shuguang & Ma, Songxuan, 2021. "Information sharing in an E-tailing supply chain for fresh produce with freshness-keeping effort and value-added service," European Journal of Operational Research, Elsevier, vol. 290(2), pages 572-584.
    19. Keyuan Cai & Zhen He & Yaqi Lou & Shuguang He, 2020. "Risk-aversion information in a supply chain with price and warranty competition," Annals of Operations Research, Springer, vol. 287(1), pages 61-107, April.
    20. Baojun Jiang & Jian Ni & Kannan Srinivasan, 2014. "Signaling Through Pricing by Service Providers with Social Preferences," Marketing Science, INFORMS, vol. 33(5), pages 641-654, September.

    Corrections

    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:inm:ormksc:v:35:y:2016:i:5:p:800-809. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.