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Cooperative advertising in a distribution channel with fairness concerns

Author

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  • Yang, Jing
  • Xie, Jinxing
  • Deng, Xiaoxue
  • Xiong, Huachun

Abstract

Cooperative (co-op) advertising has been widely used in practice and employed as a strategy to improve the performance of a distribution channel. It is known from the existing models that co-op advertising could not achieve the channel coordination (i.e., maximize the total channel profit). In this paper, we consider a distribution channel consisting of a single manufacturer and a single retailer, and investigate the effect of the retailer’s fairness concerns. Applying the equilibrium analysis, we obtain the following results: (1) Channel coordination can be achieved if the retailer has fairness concerns and model parameters satisfy certain conditions. (2) Although both channel members become better off with co-op advertising if neither channel member has fairness concerns, we find situations where co-op advertising brings detrimental effects to the retailer if the retailer has fairness concerns. (3) The retailer’s fairness concerns may increase or decrease the equilibrium participation rate, the equilibrium advertising effort, and the equilibrium profit of the manufacturer and the whole channel. (4) We identify the conditions under which the effectiveness of co-op advertising can be improved or reduced by the retailer’s fairness concerns. As long as co-op advertising can bring extra profit to the manufacturer, the retailer’s fairness concerns could improve the effectiveness of the co-op advertising. (5) There exists a Pareto improvement for the profits of both the manufacturer and the retailer when a retailer without fairness concerns becomes fair-minded.

Suggested Citation

  • Yang, Jing & Xie, Jinxing & Deng, Xiaoxue & Xiong, Huachun, 2013. "Cooperative advertising in a distribution channel with fairness concerns," European Journal of Operational Research, Elsevier, vol. 227(2), pages 401-407.
  • Handle: RePEc:eee:ejores:v:227:y:2013:i:2:p:401-407
    DOI: 10.1016/j.ejor.2012.12.011
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    References listed on IDEAS

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    1. Pradeep K. Chintagunta & Dipak Jain, 1992. "A Dynamic Model of Channel Member Strategies for Marketing Expenditures," Marketing Science, INFORMS, vol. 11(2), pages 168-188.
    2. Ernst Fehr & Klaus M. Schmidt, 1999. "A Theory of Fairness, Competition, and Cooperation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(3), pages 817-868.
    3. Preyas S. Desai, 1997. "Advertising Fee in Business-Format Franchising," Management Science, INFORMS, vol. 43(10), pages 1401-1419, October.
    4. Caliskan-Demirag, Ozgun & Chen, Youhua (Frank) & Li, Jianbin, 2010. "Channel coordination under fairness concerns and nonlinear demand," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1321-1326, December.
    5. Matthew Nagler, 2006. "An exploratory analysis of the determinants of cooperative advertising participation rates," Marketing Letters, Springer, vol. 17(2), pages 91-102, April.
    6. Sang Yong Kim & Richard Staelin, 1999. "Manufacturer Allowances and Retailer Pass-Through Rates in a Competitive Environment," Marketing Science, INFORMS, vol. 18(1), pages 59-76.
    7. Ahmadi-Javid, Amir & Hoseinpour, Pooya, 2012. "On a cooperative advertising model for a supply chain with one manufacturer and one retailer," European Journal of Operational Research, Elsevier, vol. 219(2), pages 458-466.
    8. Teck-Hua Ho & Xuanming Su, 2009. "Peer-Induced Fairness in Games," American Economic Review, American Economic Association, vol. 99(5), pages 2022-2049, December.
    9. Kahneman, Daniel & Knetsch, Jack L & Thaler, Richard, 1986. "Fairness as a Constraint on Profit Seeking: Entitlements in the Market," American Economic Review, American Economic Association, vol. 76(4), pages 728-741, September.
    10. SeyedEsfahani, Mir Mehdi & Biazaran, Maryam & Gharakhani, Mohsen, 2011. "A game theoretic approach to coordinate pricing and vertical co-op advertising in manufacturer-retailer supply chains," European Journal of Operational Research, Elsevier, vol. 211(2), pages 263-273, June.
    11. 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.
    12. 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.
    13. Christoph H. Loch & Yaozhong Wu, 2008. "Social Preferences and Supply Chain Performance: An Experimental Study," Management Science, INFORMS, vol. 54(11), pages 1835-1849, November.
    14. Olmstead, Alan L & Rhode, Paul, 1985. "Rationing without Government: The West Coast Gas Famine of 1920," American Economic Review, American Economic Association, vol. 75(5), pages 1044-1055, December.
    15. Tony Haitao Cui & Jagmohan S. Raju & Z. John Zhang, 2007. "Fairness and Channel Coordination," Management Science, INFORMS, vol. 53(8), pages 1303-1314, August.
    16. Wujin Chu & Preyas S. Desai, 1995. "Channel Coordination Mechanisms for Customer Satisfaction," Marketing Science, INFORMS, vol. 14(4), pages 343-359.
    17. Huang, Zhimin & Li, Susan X., 2001. "Co-op advertising models in manufacturer-retailer supply chains: A game theory approach," European Journal of Operational Research, Elsevier, vol. 135(3), pages 527-544, December.
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