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Optimal Bundling Strategy for a Retail Platform Under Agency Selling

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  • Xiaolong Guo
  • Shengming Zheng
  • Yugang Yu
  • Fuqiang Zhang

Abstract

Bundling strategies have been widely adopted by online retail platforms that use agency selling, where suppliers pay a commission fee to the platform to gain access and sell directly to consumers. We study the optimal bundling strategy for a retail platform through which two independent suppliers distribute their products. The suppliers first set their product prices, and, subsequently, the platform decides whether to offer the two products as a bundle and, if so, the price of the bundled product. By analyzing a two‐stage Stackelberg game, we find that the platform adopts the bundling strategy only when the commission rate and the product prices are sufficiently high. The existence of the bundling option does not affect the suppliers’ optimal pricing decisions if the product costs are either above a high threshold or below a low threshold. However, the suppliers may strategically raise the retail prices to induce the platform to offer bundled products when the marginal costs are in the medium range. The strategic interaction between the platform and suppliers leads to interesting insights into the bundling problem. For example, the retail platform may not prefer a high commission rate (i.e., a greater bargaining power) if the platform has the option to provide the bundled product. Additionally, the platform having even the possibility of bundling may hurt the platform's profit, but it always benefits the suppliers.

Suggested Citation

  • Xiaolong Guo & Shengming Zheng & Yugang Yu & Fuqiang Zhang, 2021. "Optimal Bundling Strategy for a Retail Platform Under Agency Selling," Production and Operations Management, Production and Operations Management Society, vol. 30(7), pages 2273-2284, July.
  • Handle: RePEc:bla:popmgt:v:30:y:2021:i:7:p:2273-2284
    DOI: 10.1111/poms.13366
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    References listed on IDEAS

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    3. Wei, Yuansheng & Dong, Yuxuan, 2022. "Product distribution strategy in response to the platform retailer's marketplace introduction," European Journal of Operational Research, Elsevier, vol. 303(2), pages 986-996.
    4. Deqing Ma & Xue Wang & Jinsong Hu, 2022. "Platform Selling Mode Selection Considering Consumer Reference Effect in Carbon Emission Reduction," IJERPH, MDPI, vol. 20(1), pages 1-43, December.
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    6. Qingning Cao & Xianjun Geng & Jun Zhang, 2022. "Impact of channel structure on a manufacturer's bundling decision with an application to digital goods," Production and Operations Management, Production and Operations Management Society, vol. 31(4), pages 1679-1697, April.
    7. Chen, Xu & Wang, Xiaojun & Zhang, Dan & Yang, Mingfang, 2023. "Selling models for platforms under service-sensitive demand," Omega, Elsevier, vol. 115(C).
    8. Xiaotong Guo & Yong He, 2022. "Mathematical Modeling and Optimization of Platform Service Supply Chains: A Literature Review," Mathematics, MDPI, vol. 10(22), pages 1-19, November.
    9. Cheng, Fei & Chen, Tong & Shen, Yuting & Jing, Xiaodong, 2022. "Impact of green technology improvement and store brand introduction on the sales mode selection," International Journal of Production Economics, Elsevier, vol. 253(C).
    10. Chen, Zhongwei & Fan, Zhi-Ping & Zhao, Xuan, 2021. "Offering return-freight insurance or not: Strategic analysis of an e-seller's decisions," Omega, Elsevier, vol. 103(C).
    11. Ma, Deqing & Hu, Jinsong, 2022. "The optimal combination between blockchain and sales format in an internet platform-based closed-loop supply chain," International Journal of Production Economics, Elsevier, vol. 254(C).
    12. 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.
    13. Zhang, Zhichao & Xu, Haiyan & Ke, Ginger Y. & Chen, Kebing, 2022. "Selecting online distribution modes for differentiated products in a platform supply chain," International Journal of Production Economics, Elsevier, vol. 244(C).
    14. Huang, Lingchen & Huang, Zongsheng & Liu, Bin, 2022. "Interacting with strategic waiting for store brand: Online selling format selection," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    15. De-Qing Ma & Xiao-Qing Wang & Xue Wang & Jin-Song Hu, 2023. "Achieving Triple Benefits in a Platform-Based Closed-Loop Supply Chain: The Optimal Combination between Recycling Channel and Blockchain," Sustainability, MDPI, vol. 15(5), pages 1-40, February.
    16. Chen, Yujing & Zhong, Yuanguang & Cheng, T.C.E., 2023. "Impacts of the minimum quantity contract on an online retail platform," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1236-1247.
    17. Li, Dan & Liu, Yongmei & Hu, Junhua & Chen, Xiaohong, 2021. "Private-brand introduction and investment effect on online platform-based supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
    18. Peng Liu & Rong Zhang & Bin Liu, 2023. "Information sharing under agency selling in an e-commerce supply chain with competing OEMs," Operational Research, Springer, vol. 23(3), pages 1-27, September.
    19. Yuan, Yichao & Xiao, Tiaojun, 2023. "Revelation mechanism and decoy strategy for a supply chain with consumer's perceived substitutability," Omega, Elsevier, vol. 120(C).

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