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On the Formation of Producers’ Information†Sharing Coalitions

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  • Qiao†Chu He
  • Ying†Ju Chen
  • Zuo†Jun Shen

Abstract

In this study, we propose a stylized Cournot competition model under asymmetric market information and study the formation of producers’ informational coalitions. We offer guidance towards how the information service operations can improve the producers’ welfare. Our results shed interesting light on farmer producer organizations (FPOs) in their efforts to link farmers in developing economies by integrating market information. To be specific, by focusing on Nash equilibria wherein producers make coalition†joining decisions, we find that no information†sharing coalition will be formed when the public information provision is either too low or too high, or when the private information provision is high. When the private information provisions are endogenous, a coalition can be formed between two producers when the public information provision is high, while a fair allocation of payoff can be achieved by the dominant group architecture, but not efficiency in terms of aggregate payoff. The main theme is that the government or NGO should provide right amount of market information to the right target, and too much informational intervention leads to more inefficient production and unstable organization.

Suggested Citation

  • Qiao†Chu He & Ying†Ju Chen & Zuo†Jun Shen, 2018. "On the Formation of Producers’ Information†Sharing Coalitions," Production and Operations Management, Production and Operations Management Society, vol. 27(5), pages 917-927, May.
  • Handle: RePEc:bla:popmgt:v:27:y:2018:i:5:p:917-927
    DOI: 10.1111/poms.12852
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    Cited by:

    1. Xianpei Hong & Xinlu Cao & Yeming Gong & Wanying (amanda) Chen, 2021. "Quality information acquisition and disclosure with green manufacturing in a closed-loop supply chain," Post-Print hal-03188234, HAL.
    2. Xiaolong Guo & Lihong Cheng & Yugang Yu, 2022. "Government subsidy policy for green and efficient raw materials considering farmer heterogeneity," Production and Operations Management, Production and Operations Management Society, vol. 31(11), pages 4095-4112, November.
    3. Yu, Yanan & He, Yong & Zhao, Xuan, 2021. "Impact of demand information sharing on organic farming adoption: An evolutionary game approach," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    4. Hong, Xianpei & Cao, Xinlu & Gong, Yeming & Chen, Wanying, 2021. "Quality information acquisition and disclosure with green manufacturing in a closed-loop supply chain," International Journal of Production Economics, Elsevier, vol. 232(C).
    5. Hong, Xianpei & He, Yimeng & Zhou, Pin & Chen, Jiguang, 2023. "Demand information sharing in a contract farming supply chain," European Journal of Operational Research, Elsevier, vol. 309(2), pages 560-577.
    6. Xing, Wei & Li, Qiankun & Zhao, Xuan & Li, Jialu, 2020. "Information sale and contract selection under downstream competition," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    7. Guo, Lei & Yin, Haitao & Zhao, Xuan & Zhu, Qinghua, 2022. "Managing your own low-tier suppliers via donation to NGOs: Why do multi-national corporations bother?," International Journal of Production Economics, Elsevier, vol. 250(C).
    8. Zekun Liu & Dennis J. Zhang & Fuqiang Zhang, 2021. "Information Sharing on Retail Platforms," Manufacturing & Service Operations Management, INFORMS, vol. 23(3), pages 606-619, May.
    9. Sushil Gupta & Hossein Rikhtehgar Berenji & Manish Shukla & Nagesh N. Murthy, 2023. "Opportunities in farming research from an operations management perspective," Production and Operations Management, Production and Operations Management Society, vol. 32(6), pages 1577-1596, June.
    10. Jónas Oddur Jónasson & Kamalini Ramdas & Alp Sungu, 2022. "Social impact operations at the global base of the pyramid," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4364-4378, December.

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