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Dynamic generic and brand advertising decisions under supply disruption

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  • Shigui Ma
  • Yong He
  • Ran Gu

Abstract

Enterprise captures market share from competitors through brand advertising and increases consumer demand for this category of products through general advertising. In this paper, considering a supply chain with a manufacturer who is responsible for generic advertising and a retailer who undertakes brand advertising, a Stackelberg differential game-theoretic model is established to examine the impact of supply disruption faced by the manufacturer on the optimal decision-making and profits of supply chain members. When the supply of raw materials is disrupted, the optimal advertising strategies and advertising subsidy scheme designed for the initially estimated product sales need to be revised. The key to solving this problem is to explicitly consider possible deviation profit margins of supply chain members and total market demand for products caused by changes in the original product supply. Considering that the deviations of the profit margins and the total market demand are arbitrary, we analytically derive several propositions and obtain the optimal advertising strategies and the advertising subsidy scheme before and after the supply disruption. Then, we explore the impact of supply disruption through numerical analysis and provide management insights that are helpful for managers to re-design the advertising strategies and advertising subsidy schemes under supply disruption.

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  • Shigui Ma & Yong He & Ran Gu, 2021. "Dynamic generic and brand advertising decisions under supply disruption," International Journal of Production Research, Taylor & Francis Journals, vol. 59(1), pages 188-212, January.
    • Handle: RePEc:taf:tprsxx:v:59:y:2021:i:1:p:188-212
    DOI: 10.1080/00207543.2020.1812751
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    Cited by:

    1. Fang Huang & Honghua Hu & Han Song & Haiyan Li & Shasha Zhang & Jia Zhai, 2023. "Allocation of the Carbon Emission Abatement Target in Low Carbon Supply Chain Considering Power Structure," Sustainability, MDPI, vol. 15(13), pages 1-19, July.
    2. Xu, Xiaoyan & Choi, Tsan-Ming & Chung, Sai-Ho & Guo, Shu, 2023. "Collaborative-commerce in supply chains: A review and classification of analytical models," International Journal of Production Economics, Elsevier, vol. 263(C).
    3. Sarin Raju & T. M. Rofin & S. Pavan Kumar, 2024. "Pricing decisions during panic buying and its effect on a dual-channel supply chain under different channel power structures," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 23(2), pages 83-95, April.
    4. Zhu, Xiaoyan & Cao, Yunzhi, 2021. "The optimal recovery-fund based strategy for uncertain supply chain disruptions: A risk-averse two-stage stochastic programming approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    5. Dass, Mayukh & Reshadi, Mehrnoosh & Li, Yuewu, 2023. "An exploration of ripple effects of advertising among major suppliers in a supply chain network," Journal of Business Research, Elsevier, vol. 169(C).
    6. Liu, Ming & Lin, Tao & Chu, Feng & Ding, Yueyu & Zheng, Feifeng & Chu, Chengbin, 2023. "Bi-objective optimization for supply chain ripple effect management under disruption risks with supplier actions," International Journal of Production Economics, Elsevier, vol. 265(C).

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