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Information disclosure structure in supply chains with rental service platforms in the blockchain technology era

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  • Choi, Tsan-Ming
  • Feng, Lipan
  • Li, Rong

Abstract

In platform operations for rental services, product information disclosure (supported by the blockchain technology) is critical to attract customers. We build a stylized duopoly model to analyze the product-information-disclosure Nash game between two rental service platforms whose products-to-rent are substituble. We derive the equilibrium level of product information disclosure and identify conditions under which the platforms choose to disclose or not to disclose information, which correspond to different types of supply chains. For the basic model, we find that there exists a critical threshold on the information-sensitive consumers which helps each platform decide whether or not to disclose product information. If the information auditing cost is sufficiently small, both platforms should disclose the product information as much as possible. For products with higher profit margin, both platforms are more likely to disclose information. We also explore the impacts of product information disclosure on the consumer surplus and seller benefits, and discuss the roles played by the blockchain technology. To check robustness of the results as well as to examine different supply chain configurations, we extend the analysis to the cases including (i) the platforms are risk averse in decision making, (ii) rather than selling the product, the seller (owner of the product) consigns the product to the platform and shares a revenue, and (iii) rather than two competing platforms, there is a common rental service platform providing service for two substitutable products. We find that the core insights remain valid in all the extended models. Managerial implications are discussed.

Suggested Citation

  • Choi, Tsan-Ming & Feng, Lipan & Li, Rong, 2020. "Information disclosure structure in supply chains with rental service platforms in the blockchain technology era," International Journal of Production Economics, Elsevier, vol. 221(C).
  • Handle: RePEc:eee:proeco:v:221:y:2020:i:c:s092552731930283x
    DOI: 10.1016/j.ijpe.2019.08.008
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    References listed on IDEAS

    as
    1. Lifei Jiang & Stanko Dimitrov & Benny Mantin, 2017. "P2P Marketplaces and Retailing in the Presence of Consumers' Valuation Uncertainty," Production and Operations Management, Production and Operations Management Society, vol. 26(3), pages 509-524, March.
    2. Amrit Tiwana & Benn Konsynski & Ashley A. Bush, 2010. "Research Commentary ---Platform Evolution: Coevolution of Platform Architecture, Governance, and Environmental Dynamics," Information Systems Research, INFORMS, vol. 21(4), pages 675-687, December.
    3. Luis Rayo & Ilya Segal, 2010. "Optimal Information Disclosure," Journal of Political Economy, University of Chicago Press, vol. 118(5), pages 949-987.
    4. 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.
    5. Hao Li & Xianwen Shi, 2017. "Discriminatory Information Disclosure," American Economic Review, American Economic Association, vol. 107(11), pages 3363-3385, November.
    6. Yili Hong & Paul A. Pavlou, 2017. "On Buyer Selection of Service Providers in Online Outsourcing Platforms for IT Services," Information Systems Research, INFORMS, vol. 28(3), pages 547-562, September.
    7. Choi, Tsan-Ming, 2019. "Blockchain-technology-supported platforms for diamond authentication and certification in luxury supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 17-29.
    8. Huang, Song & Yang, Jun, 2016. "Information acquisition and transparency in a supply chain with asymmetric production cost information," International Journal of Production Economics, Elsevier, vol. 182(C), pages 449-464.
    9. Zike Cao & Kai-Lung Hui & Hong Xu, 2018. "An Economic Analysis of Peer Disclosure in Online Social Communities," Information Systems Research, INFORMS, vol. 29(3), pages 546-566, September.
    10. Amrit Tiwana, 2015. "Evolutionary Competition in Platform Ecosystems," Information Systems Research, INFORMS, vol. 26(2), pages 266-281, June.
    11. Alexandre Dolgui & Dmitry Ivanov & Boris Sokolov, 2018. "Ripple effect in the supply chain: an analysis and recent literature," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 414-430, January.
    12. Asian, Sobhan & Hafezalkotob, Ashkan & John, Jubin Jacob, 2019. "Sharing economy in organic food supply chains: A pathway to sustainable development," International Journal of Production Economics, Elsevier, vol. 218(C), pages 322-338.
    13. Du, Shaofu & Wang, Lei & Hu, Li & Zhu, Yangguang, 2019. "Platform-led green advertising: Promote the best or promote by performance," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 115-131.
    14. Panos M. Markopoulos & Kartik Hosanagar, 2018. "A Model of Product Design and Information Disclosure Investments," Management Science, INFORMS, vol. 64(2), pages 739-759, February.
    15. Ying-Ju Chen & J. George Shanthikumar & Zuo-Jun Max Shen, 2015. "Incentive for Peer-to-Peer Knowledge Sharing among Farmers in Developing Economies," Production and Operations Management, Production and Operations Management Society, vol. 24(9), pages 1430-1440, September.
    16. Tsan‐Ming Choi & Stein W. Wallace & Yulan Wang, 2018. "Big Data Analytics in Operations Management," Production and Operations Management, Production and Operations Management Society, vol. 27(10), pages 1868-1883, October.
    17. Marshall Fisher & Ananth Raman, 2018. "Using Data and Big Data in Retailing," Production and Operations Management, Production and Operations Management Society, vol. 27(9), pages 1665-1669, September.
    18. Samayita Guha & Subodha Kumar, 2018. "Emergence of Big Data Research in Operations Management, Information Systems, and Healthcare: Past Contributions and Future Roadmap," Production and Operations Management, Production and Operations Management Society, vol. 27(9), pages 1724-1735, September.
    19. Drobetz, Wolfgang & Merikas, Andreas & Merika, Anna & Tsionas, Mike G., 2014. "Corporate social responsibility disclosure: The case of international shipping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 71(C), pages 18-44.
    20. Hossein Ghasemkhani & Yung‐Ming Li & Kamran Moinzadeh & Yong Tan, 2018. "Contracting Models for P2P Content Distribution," Production and Operations Management, Production and Operations Management Society, vol. 27(11), pages 1940-1959, November.
    21. Dmitry Ivanov, 2018. "Structural Dynamics and Resilience in Supply Chain Risk Management," International Series in Operations Research and Management Science, Springer, number 978-3-319-69305-7, December.
    22. Kung, Ling-Chieh & Zhong, Guan-Yu, 2017. "The optimal pricing strategy for two-sided platform delivery in the sharing economy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 101(C), pages 1-12.
    23. Choi, Tsan-Ming & Wen, Xin & Sun, Xuting & Chung, Sai-Ho, 2019. "The mean-variance approach for global supply chain risk analysis with air logistics in the blockchain technology era," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 178-191.
    24. Yang, Liu & Dong, Shaozeng, 2018. "Rebate strategy to stimulate online customer reviews," International Journal of Production Economics, Elsevier, vol. 204(C), pages 99-107.
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