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

Author

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  • 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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    as
    1. repec:cup:cbooks:9780511771576 is not listed on IDEAS
    2. Philip H. Hartung, 1973. "A Simple Style Goods Inventory Model," Management Science, INFORMS, vol. 19(12), pages 1452-1458, August.
    3. Ming Hu & Mengze Shi & Jiahua Wu, 2013. "Simultaneous vs. Sequential Group-Buying Mechanisms," Management Science, INFORMS, vol. 59(12), pages 2805-2822, December.
    4. Arunachalam Ravindran, 1972. "Management of Seasonal Style-Goods Inventories," Operations Research, INFORMS, vol. 20(2), pages 265-275, April.
    5. Senthil Veeraraghavan & Laurens Debo, 2009. "Joining Longer Queues: Information Externalities in Queue Choice," Manufacturing & Service Operations Management, INFORMS, vol. 11(4), pages 543-562, April.
    6. Bikhchandani, Sushil & Hirshleifer, David & Welch, Ivo, 1992. "A Theory of Fads, Fashion, Custom, and Cultural Change in Informational Cascades," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 992-1026, October.
    7. Cabral, Luis M. B., 2000. "Introduction to Industrial Organization," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262032864, April.
    8. Garrett van Ryzin & Siddharth Mahajan, 1999. "On the Relationship Between Inventory Costs and Variety Benefits in Retail Assortments," Management Science, INFORMS, vol. 45(11), pages 1496-1509, November.
    9. Necati Tereyagoglu & Senthil Veeraraghavan, 2012. "Selling to Conspicuous Consumers: Pricing, Production, and Sourcing Decisions," Management Science, INFORMS, vol. 58(12), pages 2168-2189, December.
    10. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    11. Hongbin Cai & Yuyu Chen & Hanming Fang, 2009. "Observational Learning: Evidence from a Randomized Natural Field Experiment," American Economic Review, American Economic Association, vol. 99(3), pages 864-882, June.
    12. Michel Benaim & Emmanuelle Auriol, 2000. "Standardization in Decentralized Economies," American Economic Review, American Economic Association, vol. 90(3), pages 550-570, June.
    13. Man Yu & Laurens Debo & Roman Kapuscinski, 2016. "Strategic Waiting for Consumer-Generated Quality Information: Dynamic Pricing of New Experience Goods," Management Science, INFORMS, vol. 62(2), pages 410-435, February.
    14. Jiahua Wu & Mengze Shi & Ming Hu, 2015. "Threshold Effects in Online Group Buying," Management Science, INFORMS, vol. 61(9), pages 2025-2040, September.
    15. H. Peyton Young, 2009. "Innovation Diffusion in Heterogeneous Populations: Contagion, Social Influence, and Social Learning," American Economic Review, American Economic Association, vol. 99(5), pages 1899-1924, December.
    16. Easley,David & Kleinberg,Jon, 2010. "Networks, Crowds, and Markets," Cambridge Books, Cambridge University Press, number 9780521195331, September.
    17. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 797-817.
    18. Octavian Carare, 2012. "The Impact Of Bestseller Rank On Demand: Evidence From The App Market," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(3), pages 717-742, August.
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    3. Agarwal, Puneet & Aziz, Ridwan Al & Zhuang, Jun, 2022. "Interplay of rumor propagation and clarification on social media during crisis events - A game-theoretic approach," European Journal of Operational Research, Elsevier, vol. 298(2), pages 714-733.
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    5. Li, Quan & Zha, Yong & Dong, Yu, 2023. "Subsidize or Not: The Competition of Credit Card and Online Credit in Platform-based Supply Chain System," European Journal of Operational Research, Elsevier, vol. 305(2), pages 644-658.
    6. Yinbo Feng & Ming Hu, 2017. "Blockbuster or Niche? Competitive Strategy under Network Effects," Working Papers 17-13, NET Institute.
    7. Andrew M. Davis & Vishal Gaur & Dayoung Kim, 2021. "Consumer Learning from Own Experience and Social Information: An Experimental Study," Management Science, INFORMS, vol. 67(5), pages 2924-2943, May.
    8. 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.
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    14. Li, Feng & Du, Timon C. & Wei, Ying, 2023. "This is what’s in store for you: How online social learning affects product positioning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    15. Ruslan Momot & Elena Belavina & Karan Girotra, 2020. "The Use and Value of Social Information in Selective Selling of Exclusive Products," Management Science, INFORMS, vol. 66(6), pages 2610-2627, June.
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    17. 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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    21. 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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