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Information sharing and service channel design in the presence of forecasting demand

Author

Listed:
  • Pan Zhang
  • Yu Xiong
  • Zhongkai Xiong
  • Yu Zhou

Abstract

This paper investigates the issue of demand forecast sharing in a supply chain, in which either the manufacturer or the retailer conducts demand-enhancing service. In the mode with manufacturer conducting service (Mode M), our analysis shows that if the service efficiency is high (low), the retailer should voluntarily (not) share its demand forecast. If the service efficiency is moderate, a side-payment contract or a bargaining mechanism can induce the retailer to share. In the mode with retailer conducting service (Mode R), no information sharing is the unique equilibrium. In both modes, supply chain members are generally better off when their forecasts become more accurate. Moreover, the positive impact of more accurate forecasts on both the manufacturer and the retailer is generally much stronger in Mode R than in Mode M. Finally, we find that both firms prefer Mode M to Mode R if the service efficiency is high, while they prefer Mode R if the service efficiency is low.

Suggested Citation

  • Pan Zhang & Yu Xiong & Zhongkai Xiong & Yu Zhou, 2018. "Information sharing and service channel design in the presence of forecasting demand," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 69(12), pages 1920-1934, December.
    • Handle: RePEc:taf:tjorxx:v:69:y:2018:i:12:p:1920-1934
    DOI: 10.1080/01605682.2017.1415644
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    Cited by:

    1. Li, Lin & Li, Guo, 2023. "Integrating logistics service or not? The role of platform entry strategy in an online marketplace," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 170(C).
    2. Qin, Xuelian & Liu, Zhixue & Tian, Lin, 2021. "The optimal combination between selling mode and logistics service strategy in an e-commerce market," European Journal of Operational Research, Elsevier, vol. 289(2), pages 639-651.
    3. Cao, Kaiying & Guo, Qiang & Xu, Yuqiu, 2023. "Information sharing and carbon reduction strategies with extreme weather in the platform economy," International Journal of Production Economics, Elsevier, vol. 255(C).
    4. Zheng, Zhijun & Li, Gang & Cheng, T.C.E & Wu, Feng, 2022. "Offline supplementary service strategies for the online marketplace: Third-party service or marketplace service?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).

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