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Assessing the profitability of cooperative advertising programs in competing channels

Author

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  • Karray, Salma
  • Martín-Herrán, Guiomar
  • Zaccour, Georges

Abstract

A large literature studied the profitability (effectiveness) of cooperative advertising programs (CAPs) in distribution channels, but very few studies modeled pricing decisions in competitive markets under different channel structures. This paper fills this gap. We propose a game-theoretic model where two competing channels make pricing and promotional decisions. The effectiveness of CAPs is studied under different channel structures to examine how vertical and horizontal externalities can impact the effectiveness of CAPs. Each channel structure can be integrated or decentralized to account for different vertical interaction effects, resulting in three cases: (i) both channels are decentralized (DD), (ii) both are integrated (II), and (iii) a hybrid structure where one channel is decentralized and is competing with an integrated channel (DI). We solve six non-cooperative games: (1) both manufacturers offer CAPs under DD, (2) only one manufacturer offers a CAP under DD, (3) both manufacturers do not offer CAPs under DD, (4) the decentralized manufacturer offers a CAP under DI, (5) the decentralized manufacturer does not offer a CAP under DI, and (6) the channel problem under II. Then, we obtain and compare equilibrium profits and strategies across these games. The main results indicate that the profitability of CAPs depends on the levels of price competition and of the advertising effects. Also, while manufacturers benefit from CAPs, retailers may not find such programs profitable. Finally, the decentralized or integrated structure of the competing channel significantly impacts the effects of cooperative advertising. For example, CAPs can effectively coordinate the DD channel and even help it exceed profits earned by a vertically integrated channel. However, in the DI case, although CAPs can improve total channel profits, they do not fully coordinate the channel.

Suggested Citation

  • Karray, Salma & Martín-Herrán, Guiomar & Zaccour, Georges, 2017. "Assessing the profitability of cooperative advertising programs in competing channels," International Journal of Production Economics, Elsevier, vol. 187(C), pages 142-158.
    • Handle: RePEc:eee:proeco:v:187:y:2017:i:c:p:142-158
    DOI: 10.1016/j.ijpe.2017.02.008
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    References listed on IDEAS

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    3. Gou, Qinglong & Shao, Jing & Wang, Xin & Yu, Lili, 2020. "Co-op supply chains with a local media company: Models and analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    4. Karray, Salma & Martín-Herrán, Guiomar, 2022. "The impact of a store brand introduction in a supply chain with competing manufacturers: The strategic role of pricing and advertising decision timing," International Journal of Production Economics, Elsevier, vol. 244(C).
    5. De Giovanni, Pietro & Karray, Salma & Martín-Herrán, Guiomar, 2019. "Vendor Management Inventory with consignment contracts and the benefits of cooperative advertising," European Journal of Operational Research, Elsevier, vol. 272(2), pages 465-480.
    6. Chutani, Anshuman & Sethi, Suresh P., 2018. "Dynamic cooperative advertising under manufacturer and retailer level competition," European Journal of Operational Research, Elsevier, vol. 268(2), pages 635-652.
    7. Chernonog, Tatyana & Avinadav, Tal, 2019. "Pricing and advertising in a supply chain of perishable products under asymmetric information," International Journal of Production Economics, Elsevier, vol. 209(C), pages 249-264.
    8. Buratto, Alessandra & Cesaretto, Rudy & De Giovanni, Pietro, 2019. "Consignment contracts with cooperative programs and price discount mechanisms in a dynamic supply chain," International Journal of Production Economics, Elsevier, vol. 218(C), pages 72-82.
    9. Yan Wang & Shue Mei & Weijun Zhong, 2022. "Advertising or recommender systems? A game‐theoretic analysis of online retailer platforms' decision‐making," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 2119-2132, September.

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