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Pricing Strategies under Behavioral Observational Learning in Social Networks

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  • Liangfei Qiu
  • Andrew B. Whinston

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Suggested Citation

  • Liangfei Qiu & Andrew B. Whinston, 2017. "Pricing Strategies under Behavioral Observational Learning in Social Networks," Production and Operations Management, Production and Operations Management Society, vol. 26(7), pages 1249-1267, July.
    • Handle: RePEc:bla:popmgt:v:26:y:2017:i:7:p:1249-1267
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    File URL: http://hdl.handle.net/10.1111/poms.12693
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    Citations

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    Cited by:

    1. Liangfei Qiu & Zhan (Michael) Shi & Andrew B. Whinston, 2018. "Learning from Your Friends’ Check-Ins: An Empirical Study of Location-Based Social Networks," Information Systems Research, INFORMS, vol. 29(4), pages 1044-1061, December.
    2. Meijian Yang & Enjun Xia & Yang Yang, 2023. "Deterring Sellers’ Cheap Talk Actions via Online Rating Schemes," Mathematics, MDPI, vol. 11(6), pages 1-16, March.
    3. Zhang, Qiao & Tang, Wansheng & Zaccour, Georges & Zhang, Jianxiong, 2019. "Should a manufacturer give up pricing power in a vertical information-sharing channel?," European Journal of Operational Research, Elsevier, vol. 276(3), pages 910-928.
    4. Liangfei Qiu & Yili (Kevin) Hong & Andrew Whinston, 2022. "Special Issue of Production and Operations Management “Social Technologies in Operations”," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 868-869, February.
    5. Bikram P. Ghosh & Michael R. Galbreth, 2023. "The weight of the crowd, social information credibility, and firm strategy," Production and Operations Management, Production and Operations Management Society, vol. 32(4), pages 1079-1095, April.
    6. Zhang, Qiao & Zaccour, Georges & Zhang, Jianxiong & Tang, Wansheng, 2020. "Strategic pricing under quality signaling and imitation behaviors in supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    7. Liangfei Qiu & Arunima Chhikara & Asoo Vakharia, 2021. "Multidimensional Observational Learning in Social Networks: Theory and Experimental Evidence," Information Systems Research, INFORMS, vol. 32(3), pages 876-894, September.
    8. Xinxue (Shawn) Qu & Aslan Lotfi & Dipak C. Jain & Zhengrui Jiang, 2022. "Predicting upgrade timing for successive product generations: An exponential‐decay proportional hazard model," Production and Operations Management, Production and Operations Management Society, vol. 31(5), pages 2067-2083, May.
    9. Ying Ding & Yanping Tu & Jingchuan Pu & Liangfei Qiu, 2021. "Environmental Factors in Operations Management: The Impact of Air Quality on Product Demand," Production and Operations Management, Production and Operations Management Society, vol. 30(9), pages 2910-2924, September.
    10. Zhijun Yan & Lini Kuang & Liangfei Qiu, 2022. "Prosocial behaviors and economic performance: Evidence from an online mental healthcare platform," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3859-3876, October.
    11. Xiaowei Mei & Hsing Kenneth Cheng & Subhajyoti Bandyopadhyay & Liangfei Qiu & Lai Wei, 2022. "Sponsored Data: Smarter Data Pricing with Incomplete Information," Information Systems Research, INFORMS, vol. 33(1), pages 362-382, March.
    12. Naveen Kumar & Liangfei Qiu & Subodha Kumar, 2022. "A Hashtag Is Worth a Thousand Words: An Empirical Investigation of Social Media Strategies in Trademarking Hashtags," Information Systems Research, INFORMS, vol. 33(4), pages 1403-1427, December.
    13. Yue Yuan & Mary E. Deily & Yuliang Yao, 2022. "Willingness to Pay for Status Signals in Online Luxury Markets," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 668-680, February.
    14. Qian Ma & Biying Shou & Jianwei Huang & Tamer Başar, 2021. "Monopoly Pricing with Participation‐Dependent Social Learning About Quality of Service," Production and Operations Management, Production and Operations Management Society, vol. 30(11), pages 4004-4022, November.

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