IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v69y2016i2p709-717.html
   My bibliography  Save this article

Manufacturer's cooperative advertising, demand uncertainty, and information sharing

Author

Listed:
  • Yan, Ruiliang
  • Cao, Zixia
  • Pei, Zhi

Abstract

We assume a manufacturer–retailer supply chain where the manufacturer opens an online channel and provides a monetary support to the retailer to implement a local advertising campaign. Both the manufacturer and the retailer have their own information about the state of market demand. We thus examine the value of manufacturer's cooperative advertising and its strategic influence on information sharing of the manufacturer and the retailer. Our results show that the manufacturer's cooperative advertising coordinates the dual-channel distributions effectively and helps improve the channel performance under the environment of demand uncertainty. However, the manufacturer's cooperative advertising also stimulates the retailer to distort its information while the manufacturer has a motivation to understate its forecast. Hence, an advertising agency should be employed to verify the shared information and help make an optimal investment in advertising, so that information distortion can be eliminated and optimum results can be achieved.

Suggested Citation

  • Yan, Ruiliang & Cao, Zixia & Pei, Zhi, 2016. "Manufacturer's cooperative advertising, demand uncertainty, and information sharing," Journal of Business Research, Elsevier, vol. 69(2), pages 709-717.
  • Handle: RePEc:eee:jbrese:v:69:y:2016:i:2:p:709-717
    DOI: 10.1016/j.jbusres.2015.08.011
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296315003483
    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

    as
    1. Yue, Jinfeng & Austin, Jill & Wang, Min-Chiang & Huang, Zhimin, 2006. "Coordination of cooperative advertising in a two-level supply chain when manufacturer offers discount," European Journal of Operational Research, Elsevier, vol. 168(1), pages 65-85, January.
    2. 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.
    3. Yue, Xiaohang & Liu, John, 2006. "Demand forecast sharing in a dual-channel supply chain," European Journal of Operational Research, Elsevier, vol. 174(1), pages 646-667, October.
    4. Vives, Xavier, 1984. "Duopoly information equilibrium: Cournot and bertrand," Journal of Economic Theory, Elsevier, vol. 34(1), pages 71-94, October.
    5. Aust, Gerhard & Buscher, Udo, 2014. "Cooperative advertising models in supply chain management: A review," European Journal of Operational Research, Elsevier, vol. 234(1), pages 1-14.
    6. Zhang, Juan & Gou, Qinglong & Liang, Liang & Huang, Zhimin, 2013. "Supply chain coordination through cooperative advertising with reference price effect," Omega, Elsevier, vol. 41(2), pages 345-353.
    7. 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.
    8. M. Espinosa & Petr Mariel, 2001. "A model of optimal advertising expenditures in a dynamic duopoly," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 29(2), pages 135-161, June.
    9. Mark J. Roberts & Larry Samuelson, 1988. "An Empirical Analysis of Dynamic, Nonprice Competition in an Oligopolistic Industry," RAND Journal of Economics, The RAND Corporation, vol. 19(2), pages 200-220, Summer.
    10. Jagmohan S. Raju & Abhik Roy, 2000. "Market Information and Firm Performance," Management Science, INFORMS, vol. 46(8), pages 1075-1084, August.
    11. Amrouche, Nawel & Yan, Ruiliang, 2015. "Aggressive or partnership strategy: Which choice is better for the national brand?," International Journal of Production Economics, Elsevier, vol. 166(C), pages 50-63.
    12. Wei-yu Kevin Chiang & Dilip Chhajed & James D. Hess, 2003. "Direct Marketing, Indirect Profits: A Strategic Analysis of Dual-Channel Supply-Chain Design," Management Science, INFORMS, vol. 49(1), pages 1-20, January.
    13. Xie, Jinxing & Wei, Jerry C., 2009. "Coordinating advertising and pricing in a manufacturer-retailer channel," European Journal of Operational Research, Elsevier, vol. 197(2), pages 785-791, September.
    14. Aust, Gerhard & Buscher, Udo, 2012. "Vertical cooperative advertising and pricing decisions in a manufacturer–retailer supply chain: A game-theoretic approach," European Journal of Operational Research, Elsevier, vol. 223(2), pages 473-482.
    15. Ronald Cotterill & William Putsis, 2000. "Market Share and Price Setting Behavior for Private Labels and National Brands," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 17(1), pages 17-39, August.
    16. Karray, Salma & Zaccour, Georges, 2006. "Could co-op advertising be a manufacturer's counterstrategy to store brands?," Journal of Business Research, Elsevier, vol. 59(9), pages 1008-1015, September.
    17. Jørgensen, Steffen & Zaccour, Georges, 2014. "A survey of game-theoretic models of cooperative advertising," European Journal of Operational Research, Elsevier, vol. 237(1), pages 1-14.
    18. Li, Susan X. & Huang, Zhimin & Zhu, Joe & Chau, Patrick Y. K., 2002. "Cooperative advertising, game theory and manufacturer-retailer supply chains," Omega, Elsevier, vol. 30(5), pages 347-357, October.
    19. Yan, Ruiliang & Pei, Zhi, 2011. "Information asymmetry, pricing strategy and firm's performance in the retailer- multi-channel manufacturer supply chain," Journal of Business Research, Elsevier, vol. 64(4), pages 377-384, April.
    20. Sorger, Gerhard, 1989. "Competitive dynamic advertising : A modification of the Case game," Journal of Economic Dynamics and Control, Elsevier, vol. 13(1), pages 55-80, January.
    21. Yan, Ruiliang & Ghose, Sanjoy, 2010. "Forecast information and traditional retailer performance in a dual-channel competitive market," Journal of Business Research, Elsevier, vol. 63(1), pages 77-83, January.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. repec:eee:joreco:v:34:y:2017:i:c:p:193-200 is not listed on IDEAS
    2. Martín-Herrán, Guiomar & Sigué, Simon P., 2017. "An integrative framework of cooperative advertising: Should manufacturers continuously support retailer advertising?," Journal of Business Research, Elsevier, vol. 70(C), pages 67-73.
    3. repec:eee:joreco:v:30:y:2016:i:c:p:84-95 is not listed on IDEAS

    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:eee:jbrese:v:69:y:2016:i:2:p:709-717. 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: http://www.elsevier.com/locate/jbusres .

    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.