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Impact of Information Sharing Modes on the Dual-Channel Closed Loop Supply Chains Under Different Power Structures

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  • Tong-Yuan Wang

    (School of Business, Henan University, Kaifeng 475001, P. R. China2School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 611756, P. R. China)

  • Zeng-Qiang Wang

    (School of Management, Xihua University, Chengdu 610039, P. R. China)

  • Peng He

    (School of Management Science and Engineering, Chongqing Technology and Business University, Chongqing 400067, P. R. China5School of Economics and Management Southeast University, Nanjing 210096, P. R. China)

Abstract

In this paper, we develop game-theoretic models regarding dual-channel closed loop supply chain (CLSC) to identify whether the retailer has incentives to share private demand information with the manufacturer and/or the collector, and how different information sharing modes influence the chain members’ operational performances under different channel power structures. Given that the collector recycles used products, four information sharing modes (i.e., no information sharing, information sharing with the manufacturer, information sharing with the collector, and information sharing with both the manufacturer and the collector) are examined in the manufacturer Stackelberg and collector Stackelberg supply chains, respectively. We find that the retailer’s sharing information behavior always benefits for the collector and the entire supply chain. The retailer, however, has no incentive to share demand information voluntarily. As for the manufacturer, the retailer’s sharing information behavior always benefits him in the collector Stackelberg scenario, while may hurt him in the manufacturer Stackelberg scenario. Furthermore, the impact of channel power structure in the four information sharing modes is also discussed. The results show that the manufacturer Stackelberg model or the collector Stackelberg model may be the better structure for chain members depending on the retailer’s demand forecast accuracy.

Suggested Citation

  • Tong-Yuan Wang & Zeng-Qiang Wang & Peng He, 2021. "Impact of Information Sharing Modes on the Dual-Channel Closed Loop Supply Chains Under Different Power Structures," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 38(02), pages 1-38, April.
  • Handle: RePEc:wsi:apjorx:v:38:y:2021:i:02:n:s0217595920500517
    DOI: 10.1142/S0217595920500517
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    Citations

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    Cited by:

    1. 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.
    2. Ping Yan & Jun Pei & Ya Zhou & Panos M. Pardalos, 2024. "When platform exploits data analysis advantage: change of OEM-led supply chain structure," Annals of Operations Research, Springer, vol. 339(3), pages 1405-1431, August.
    3. Xuelong Zhang & Yuxin Xu & Xiaofan Chen & Jiuying Liang, 2023. "Pricing Decision Models of Manufacturer-Led Dual-Channel Supply Chain with Free-Rider Problem," Sustainability, MDPI, vol. 15(5), pages 1-20, February.
    4. Haoxuan Zheng & Xingwei Li & Xiaowen Zhu & Yicheng Huang & Zhili Liu & Yuxin Liu & Jiaxin Liu & Xiangye Li & Yuejia Li & Chunhui Li, 2022. "Impact of Recycler Information Sharing on Supply Chain Performance of Construction and Demolition Waste Resource Utilization," IJERPH, MDPI, vol. 19(7), pages 1-22, March.

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