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Information Disclosure Decision for Tourism O2O Supply Chain Based on Blockchain Technology

Author

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  • Li Zhou

    (School of Information, Beijing Wuzi University, Beijing 101149, China)

  • Chunqiao Tan

    (School of Business, Nanjing Audit University, Nanjing 211815, China)

  • Huimin Zhao

    (School of Business, Central South University, Changsha 410083, China)

Abstract

(1) Background: With the development of blockchain technology and fierce competition between tourism platforms, tourism platforms can adopt blockchain technology to disclose product information to enhance their core competitiveness. As for a tourism O2O, i.e., online to offline, supply chain, the tourism platform sells the product online, and the tour operator provides services offline. (2) Methods: We establish a game theory model and study the optimal strategies of supply chain members in two scenarios (decentralized and centralized) when the online platform does not adopt or adopts blockchain technology. Then, we introduce a two-part tariff contract for coordination. Furthermore, we discuss the impact of the cost of adopting blockchain technology, disclosing information and the proportion of information-sensitive consumers on the optimal strategies. (3) Conclusions: When the costs of adopting blockchain technology and information disclosure are low, if the proportion of information-sensitive consumers is large, adopting blockchain technology is beneficial to supply chain members. Compared with a wholesale price contract, a two-part tariff contract can encourage the platform to improve information disclosure quality, so the tour operator can adjust their cooperation contract to achieve Pareto improvements. Under a two-part tariff contract, the tourism platforms are more likely to disclose information and can effectively regulate the operational performance of the tourism O2O supply chain.

Suggested Citation

  • Li Zhou & Chunqiao Tan & Huimin Zhao, 2022. "Information Disclosure Decision for Tourism O2O Supply Chain Based on Blockchain Technology," Mathematics, MDPI, vol. 10(12), pages 1-21, June.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:12:p:2119-:d:841653
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    References listed on IDEAS

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    Cited by:

    1. Bing-Bing Cao & Mei-Fei Zhu & Quan Tian, 2022. "Optimal Operation Policies in a Cross-Regional Fresh Product Supply Chain with Regional Government Subsidy Heterogeneity to Blockchain-Driven Traceability," Mathematics, MDPI, vol. 10(23), pages 1-40, December.
    2. Xiaotong Guo & Yong He, 2022. "Mathematical Modeling and Optimization of Platform Service Supply Chains: A Literature Review," Mathematics, MDPI, vol. 10(22), pages 1-19, November.

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