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To Share or Not to Share? The Optimal Technology Investment in a Virtual Product Supply Chain

Author

Listed:
  • Yuan Fang

    (Glorious Sun School of Business and Management, Donghua University, Shanghai 200051, China)

  • Bin Shen

    (Glorious Sun School of Business and Management, Donghua University, Shanghai 200051, China)

  • Yifan Cao

    (Glorious Sun School of Business and Management, Donghua University, Shanghai 200051, China)

Abstract

With the rapid rise of the virtual economy, the “brand + platform” virtual product distribution model led by virtual technology platforms has emerged, bringing a series of new virtual experiences to consumers. Considering that consumers have heterogeneous preferences for virtual technologies, we investigate a virtual product supply chain consisting of a brand owner, a virtual technology platform, and consumers (where the virtual technology platform has superior information about consumer preferences). We develop a signaling game model with preference information signaled by the virtual technology investment to study the optimal information-sharing strategy for the virtual product supply chain. We find that the virtual technology platform always prefers information sharing without paying any signaling cost. Moreover, we also observe that the brand owner and the platform can achieve alignment, that is, when consumers are more likely to prefer virtual technology, both the brand owner and the virtual technology platform are better off if the virtual technology platform chooses to share information with the brand owner. Finally, we analyze the consumer welfare and find that when consumers are moderately likely to prefer virtual technology, consumers can gain more benefits in the information-sharing scenario.

Suggested Citation

  • Yuan Fang & Bin Shen & Yifan Cao, 2022. "To Share or Not to Share? The Optimal Technology Investment in a Virtual Product Supply Chain," Sustainability, MDPI, vol. 14(19), pages 1-30, October.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12858-:d:936832
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    References listed on IDEAS

    as
    1. Baojun Jiang & Lin Tian & Yifan Xu & Fuqiang Zhang, 2016. "To Share or Not to Share: Demand Forecast Sharing in a Distribution Channel," Marketing Science, INFORMS, vol. 35(5), pages 800-809, September.
    2. Hong Guo & Lin Hao & Tridas Mukhopadhyay & Daewon Sun, 2019. "Selling Virtual Currency in Digital Games: Implications for Gameplay and Social Welfare," Information Systems Research, INFORMS, vol. 30(2), pages 430-446, June.
    3. Liang Guo & Ganesh Iyer, 2010. "Information Acquisition and Sharing in a Vertical Relationship," Marketing Science, INFORMS, vol. 29(3), pages 483-506, 05-06.
    4. Mailath George J. & Okuno-Fujiwara Masahiro & Postlewaite Andrew, 1993. "Belief-Based Refinements in Signalling Games," Journal of Economic Theory, Elsevier, vol. 60(2), pages 241-276, August.
    5. Avinadav, Tal & Chernonog, Tatyana & Ben-Zvi, Tal, 2019. "The effect of information superiority on a supply chain of virtual products," International Journal of Production Economics, Elsevier, vol. 216(C), pages 384-397.
    6. Esther Gal-Or & Tansev Geylani & Anthony J. Dukes, 2008. "Information Sharing in a Channel with Partially Informed Retailers," Marketing Science, INFORMS, vol. 27(4), pages 642-658, 07-08.
    7. Avinadav, Tal & Chernonog, Tatyana & Perlman, Yael, 2015. "The effect of risk sensitivity on a supply chain of mobile applications under a consignment contract with revenue sharing and quality investment," International Journal of Production Economics, Elsevier, vol. 168(C), pages 31-40.
    8. Lin Hao & Hong Guo & Robert F. Easley, 2017. "A Mobile Platform's In‐App Advertising Contract Under Agency Pricing for App Sales," Production and Operations Management, Production and Operations Management Society, vol. 26(2), pages 189-202, February.
    9. Kumar, Subodha & Sethi, Suresh P., 2009. "Dynamic pricing and advertising for web content providers," European Journal of Operational Research, Elsevier, vol. 197(3), pages 924-944, September.
    10. Avinadav, Tal & Chernonog, Tatyana & Khmelnitsky, Eugene, 2021. "Revenue-sharing between developers of virtual products and platform distributors," European Journal of Operational Research, Elsevier, vol. 290(3), pages 927-945.
    11. Zhang, Juliang & Chen, Jian, 2013. "Coordination of information sharing in a supply chain," International Journal of Production Economics, Elsevier, vol. 143(1), pages 178-187.
    12. Baojun Jiang & Bicheng Yang, 2019. "Quality and Pricing Decisions in a Market with Consumer Information Sharing," Management Science, INFORMS, vol. 65(1), pages 272-285, January.
    13. Axel Stock & Subramanian Balachander, 2005. "The Making of a "Hot Product": A Signaling Explanation of Marketers' Scarcity Strategy," Management Science, INFORMS, vol. 51(8), pages 1181-1192, August.
    14. Ke-Wei Huang & Arun Sundararajan, 2011. "Pricing Digital Goods: Discontinuous Costs and Shared Infrastructure," Information Systems Research, INFORMS, vol. 22(4), pages 721-738, December.
    15. Shi, Chun-lai & Geng, Wei, 2021. "To introduce a store brand or not: Roles of market information in supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 150(C).
    16. Zhang, Jianxiong & Li, Sa & Zhang, Shichen & Dai, Rui, 2019. "Manufacturer encroachment with quality decision under asymmetric demand information," European Journal of Operational Research, Elsevier, vol. 273(1), pages 217-236.
    17. Chernonog, Tatyana & Avinadav, Tal & Ben-Zvi, Tal, 2019. "How to set price and quality in a supply chain of virtual products under bi-criteria and risk consideration," International Journal of Production Economics, Elsevier, vol. 209(C), pages 156-163.
    18. Arun Sundararajan, 2004. "Nonlinear Pricing of Information Goods," Management Science, INFORMS, vol. 50(12), pages 1660-1673, December.
    19. Jianteng Xu & Peng Wang & Qi Xu, 2022. "Impact of Information Asymmetry on the Operation of Green Closed-Loop Supply Chain under Government Regulation," Sustainability, MDPI, vol. 14(13), pages 1-18, June.
    20. Sridhar Balasubramanian & Shantanu Bhattacharya & Vish V. Krishnan, 2015. "Pricing Information Goods: A Strategic Analysis of the Selling and Pay-per-Use Mechanisms," Marketing Science, INFORMS, vol. 34(2), pages 218-234, March.
    21. Lode Li, 2002. "Information Sharing in a Supply Chain with Horizontal Competition," Management Science, INFORMS, vol. 48(9), pages 1196-1212, September.
    22. Chernonog, Tatyana & Avinadav, Tal, 2019. "Pricing and advertising in a supply chain of perishable products under asymmetric information," International Journal of Production Economics, Elsevier, vol. 209(C), pages 249-264.
    23. Martin A. Lariviere & V. Padmanabhan, 1997. "Slotting Allowances and New Product Introductions," Marketing Science, INFORMS, vol. 16(2), pages 112-128.
    24. Minyi Xu & Shujian Ma & Gang Wang, 2022. "Differential Game Model of Information Sharing among Supply Chain Finance Based on Blockchain Technology," Sustainability, MDPI, vol. 14(12), pages 1-21, June.
    25. Baojun Jiang & Jian Ni & Kannan Srinivasan, 2014. "Signaling Through Pricing by Service Providers with Social Preferences," Marketing Science, INFORMS, vol. 33(5), pages 641-654, September.
    26. Lu, Qihui & Shi, Victor & Huang, Jiazhou, 2018. "Who benefit from agency model: A strategic analysis of pricing models in distribution channels of physical books and e-books," European Journal of Operational Research, Elsevier, vol. 264(3), pages 1074-1091.
    27. Xu Guan & Ying-Ju Chen, 2017. "The Interplay between Information Acquisition and Quality Disclosure," Production and Operations Management, Production and Operations Management Society, vol. 26(3), pages 389-408, March.
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