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Liking and Following and the Newsvendor: Operations and Marketing Policies Under Social Influence

Author

Listed:
  • Ming Hu

    (Rotman School of Management, University of Toronto, Toronto, Ontario M5S 3E6, Canada)

  • Joseph Milner

    (Rotman School of Management, University of Toronto, Toronto, Ontario M5S 3E6, Canada)

  • Jiahua Wu

    (Imperial College Business School, Imperial College London, London SW7 2AZ, United Kingdom)

Abstract

We consider a monopolistic firm selling two substitutable products to a stream of sequential arrivals whose purchase decisions can be influenced by earlier purchases. Before demand realizes, the firm faces a newsvendor problem for the two products with economies of scale in production for each. When consumers are responsive to others’ decisions, social influence amplifies demand uncertainty, leading to a lower profit for the firm. We propose three solutions for the firm to better cope with or even benefit from social influence: influencer recruitment and a reduced product assortment either before demand realization (ex ante) or under production postponement (ex post). First, the firm can offer promotional incentives to recruit consumers as influencers. We reveal an operational benefit of influencer marketing that a very small fraction of such influencers is sufficient to diminish sales’ unpredictability. Second, as the potential substitutability between products increases due to social influence, the firm may leverage the increased substitutability and enjoy lower cost in production by reducing product assortment before demand realization. Last, under production postponement, the firm can take advantage of the way that social influence results in demand herding and reduce product varieties by reacting to preorder information. This paper was accepted by Martin Lariviere, operations management.

Suggested Citation

  • Ming Hu & Joseph Milner & Jiahua Wu, 2016. "Liking and Following and the Newsvendor: Operations and Marketing Policies Under Social Influence," Management Science, INFORMS, vol. 62(3), pages 867-879, March.
  • Handle: RePEc:inm:ormnsc:v:62:y:2016:i:3:p:867-879
    DOI: 10.1287/mnsc.2015.2160
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    References listed on IDEAS

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    6. Roberta De Michele & Gianluca Marchi, 2018. "Influencer identification and selection on social networking sites: An analysis on Instagram," MERCATI & COMPETITIVIT?, FrancoAngeli Editore, vol. 2018(4), pages 129-153.
    7. Shen, Bin & Choi, Tsan-Ming & Chan, Hau-Ling, 2019. "Selling green first or not? A Bayesian analysis with service levels and environmental impact considerations in the Big Data Era," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 412-420.
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    14. Yunke Mai & Bin Hu, 2023. "Optimizing Free-to-Play Multiplayer Games with Premium Subscription," Management Science, INFORMS, vol. 69(6), pages 3437-3456, June.
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    16. Wenyi Wang & Qiang Guo, 2023. "Subscription strategy choices of network video platforms in the presence of social influence," Electronic Commerce Research, Springer, vol. 23(1), pages 577-604, March.
    17. Fang Qiu & Qifan Hu & Bing Xu, 2020. "Fresh Agricultural Products Supply Chain Coordination and Volume Loss Reduction Based on Strategic Consumer," IJERPH, MDPI, vol. 17(21), pages 1-25, October.
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