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Coordination in a distribution channel with decisions on the nature of incentives and share-dependency on pricing

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  • Pietro De Giovanni

    (Department of Operations Management, ESSEC Business School)

Abstract

We research the most suitable coordination mechanism for a distribution channel that is composed of one manufacturer and one retailer. Coordination is sought through a Revenue Sharing Contract (RSC) and the channel members have four coordination options in the menu: The share of revenues can be either set during the course of the game (endogenous) or preset before the game starts (exogenous); similarly, the retail price can be either share-dependent or share-independent. We seek to identify the coordination mechanism that leads to a profit-Pareto-improving situation with respect to a non-coordinated channel that implements a wholesale price contract. We compare players’ profits in the four coordination options and identify the mechanisms that firms prefer. Compared to the non-coordinated channel, our findings suggest that the manufacturer is always economically better-off through coordination, independent of the mechanism the channel uses. In contrast, the retailer is better-off with a share-dependent-pricing mechanism with the share set ex-post. The adoption of a preset share is conditionally beneficial to the parameter fraction. The economic value loss due to the double marginalization cannot be entirely eliminated, independent of the nature (exogenous or endogenous) of the sharing parameter and on the effect of RSC on pricing. In the comparison among coordination mechanisms, only a share-dependent-pricing mechanism with the share fixed over the course of the game is profit-Pareto-improving.

Suggested Citation

  • Pietro De Giovanni, 2016. "Coordination in a distribution channel with decisions on the nature of incentives and share-dependency on pricing," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(8), pages 1034-1049, August.
  • Handle: RePEc:pal:jorsoc:v:67:y:2016:i:8:d:10.1057_jors.2015.118
    DOI: 10.1057/jors.2015.118
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    Cited by:

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    2. Giorgia Sammarco & Daniel Ruzza & Behzad Maleki Vishkaei & Pietro De Giovanni, 2022. "The Impact of Digital Technologies on Company Restoration Time Following the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(22), pages 1-17, November.
    3. 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.
    4. De Giovanni, Pietro, 2020. "Blockchain and smart contracts in supply chain management: A game theoretic model," International Journal of Production Economics, Elsevier, vol. 228(C).
    5. Biswas, Debajyoti & Rezaee Vessal, Sara, 2024. "Smart home insurance: Collaboration and pricing," European Journal of Operational Research, Elsevier, vol. 314(1), pages 176-205.
    6. De Giovanni, Pietro & Cariola, Alfio, 2021. "Process innovation through industry 4.0 technologies, lean practices and green supply chains," Research in Transportation Economics, Elsevier, vol. 90(C).
    7. Pietro Giovanni, 2017. "Closed-loop supply chain coordination through incentives with asymmetric information," Annals of Operations Research, Springer, vol. 253(1), pages 133-167, June.
    8. Colicev, Anatoli & De Giovanni, Pietro & Vinzi, Vincenzo Esposito, 2016. "An empirical investigation of the antecedents of partnering capability," International Journal of Production Economics, Elsevier, vol. 178(C), pages 144-153.
    9. Matteo Trabucco & Pietro De Giovanni, 2021. "Achieving Resilience and Business Sustainability during COVID-19: The Role of Lean Supply Chain Practices and Digitalization," Sustainability, MDPI, vol. 13(22), pages 1-19, November.
    10. 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.
    11. Haiyun, Cui & Zhixiong, Huang & Yüksel, Serhat & Dinçer, Hasan, 2021. "Analysis of the innovation strategies for green supply chain management in the energy industry using the QFD-based hybrid interval valued intuitionistic fuzzy decision approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    12. Biswas, Debajyoti & Jalali, Hamed & Ansaripoor, Amir H. & De Giovanni, Pietro, 2023. "Traceability vs. sustainability in supply chains: The implications of blockchain," European Journal of Operational Research, Elsevier, vol. 305(1), pages 128-147.
    13. Pietro De Giovanni, 2019. "Digital Supply Chain through Dynamic Inventory and Smart Contracts," Mathematics, MDPI, vol. 7(12), pages 1-25, December.
    14. Seyyed-Mahdi Hosseini-Motlagh & Mona Jazinaninejad & Nazanin Nami, 2022. "Coordinating a socially concerned reverse supply chain for pharmaceutical waste management considering government role," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 1852-1877, February.

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