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Manufacturer’s optimal distribution strategy in the platform supply chain: Bundling or add-on?

Author

Listed:
  • Junbin Wang
  • Shanshan Wang

    (Shanghai University of Engineering Science)

  • Yangyan Shi

    (Macquarie University [Sydney])

  • V. Venkatesh

    (Métis Lab EM Normandie - EM Normandie - École de Management de Normandie = EM Normandie Business School)

  • Sanjoy Kumar Paul

    (UTS - University of Technology Sydney)

Abstract

This study delves into the realm of distribution strategies employed in retail markets, particularly focusing on the widely utilized bundle-and-add-on strategy. Three distinct distribution strategies are examined: bundled-by-the-base-manufacturer (BBBM), bundled-by-the-platform, and the add-on approach within a platform supply chain context. Through comprehensive analysis, this paper investigates the optimal distribution strategy for manufacturers. Significantly, our research reveals that in cases where only bundling is feasible, base manufacturers can reap benefits from a self-bundling strategy when both the platform's commission rate and the marginal cost of the bundled product are low. Additionally, the platform stands to gain from this approach when the commission rate is low, and the marginal cost of the bundled product is either moderate or very high. Notably, win–win scenarios can emerge for both manufacturers and platforms through specific bundling or platform bundling strategies under specific conditions. Furthermore, the study demonstrates that the price of bundles under the add-on strategy will be lower, attracting more consumers, especially when the commission rate is low. Intriguingly, when the marginal cost of the base product is low, the add-on strategy consistently emerges as the optimal choice; as costs escalate, BBBM might be optimal, especially when the commission rate is low, showcasing a nuanced understanding of the interplay between costs and strategic choices in distribution. The major contribution of this paper lies in its nuanced analysis of these strategies and their implications for both manufacturers and platforms in the retail landscape.

Suggested Citation

  • Junbin Wang & Shanshan Wang & Yangyan Shi & V. Venkatesh & Sanjoy Kumar Paul, 2024. "Manufacturer’s optimal distribution strategy in the platform supply chain: Bundling or add-on?," Post-Print hal-04738215, HAL.
  • Handle: RePEc:hal:journl:hal-04738215
    DOI: 10.1007/s10479-024-05842-8
    Note: View the original document on HAL open archive server: https://hal.science/hal-04738215v1
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    References listed on IDEAS

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    1. Alireza Goli & Ali Ala & Seyedali Mirjalili, 2023. "A robust possibilistic programming framework for designing an organ transplant supply chain under uncertainty," Annals of Operations Research, Springer, vol. 328(1), pages 493-530, September.
    2. Mihai Banciu & Esther Gal-Or & Prakash Mirchandani, 2010. "Bundling Strategies When Products Are Vertically Differentiated and Capacities Are Limited," Management Science, INFORMS, vol. 56(12), pages 2207-2223, December.
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