IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0305876.html
   My bibliography  Save this article

Governing the misconduct of OTA platforms: A tripartite evolutionary game analysis considering the collaborative supervision of airlines and consumers

Author

Listed:
  • Wenjian Li
  • Jiwen Tai
  • Jingxuan Zhou
  • Liya Ba
  • Gang Xie

Abstract

Online travel agency (OTA) platforms frequently engage in unfair behaviors that infringe on the legitimate rights and interests of consumers and airlines in the ticket sale market. Effective governance of the OTA platforms’ misconduct has become an urgent topic. In order to address the governance dilemma of OTA platforms’ misconduct, a tripartite evolutionary game model considering the collaborative supervision between airlines and consumers is constructed. This study analyzes the evolutionary path and stable strategy of the three participants, airlines, platforms and consumers by numerical simulation. The results show that some actions, such as airlines’ strict control of ticket sales resources and high fines on the platform, reducing the cost of customers’ rights protection, and effectively guiding online public opinion, can benefit airlines and consumers and enhance their willingness to cooperate in supervision. Legitimate consumer rights protection not only brings negative public opinion and image loss to airlines, but also to platforms, which can force airlines to impose stricter constraints on platforms and force platforms to strengthen self-restraint. Therefore, a market mechanism instead of government regulatory that can effectively suppress platforms misconduct should be established to promote platforms self-regulation through a collaborative effort between airlines and consumers. Some special measures that guide the interests of three participators are also provided.

Suggested Citation

  • Wenjian Li & Jiwen Tai & Jingxuan Zhou & Liya Ba & Gang Xie, 2024. "Governing the misconduct of OTA platforms: A tripartite evolutionary game analysis considering the collaborative supervision of airlines and consumers," PLOS ONE, Public Library of Science, vol. 19(8), pages 1-26, August.
  • Handle: RePEc:plo:pone00:0305876
    DOI: 10.1371/journal.pone.0305876
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0305876
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0305876&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0305876?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Koo, Bonwoo & Mantin, Benny & O'Connor, Peter, 2011. "Online distribution of airline tickets: Should airlines adopt a single or a multi-channel approach?," Tourism Management, Elsevier, vol. 32(1), pages 69-74.
    2. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    3. Stefan Holzweber, 2018. "Tying and bundling in the digital era," European Competition Journal, Taylor & Francis Journals, vol. 14(2-3), pages 342-366, September.
    4. Martin Kenney & John Zysman, 2020. "The platform economy: restructuring the space of capitalist accumulation," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 55-76.
    5. Wei Zhang & Yong Chen & Giacomo Fiumara, 2021. "Research on Evolutionary Model and Dynamic Analysis for Internet Public Opinion Spreading," Complexity, Hindawi, vol. 2021, pages 1-11, October.
    6. David N. Weil & Oded Galor, 2000. "Population, Technology, and Growth: From Malthusian Stagnation to the Demographic Transition and Beyond," American Economic Review, American Economic Association, vol. 90(4), pages 806-828, September.
    7. Chuanyun Li & Xia Cao & Ming Chi, 2020. "Research on an evolutionary game model and simulation of a cluster innovation network based on fairness preference," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-17, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li Liu & Zhe Wang & Zhao Song & Zaisheng Zhang, 2023. "Evolutionary game analysis on behavioral strategies of four participants in green technology innovation system," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(2), pages 960-977, March.
    2. Xiaoting Dai & Linhai Wu, 2023. "The impact of capitalist profit-seeking behavior by online food delivery platforms on food safety risks and government regulation strategies," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
    3. Maria Dolores Guillo & Fidel Perez-Sebastian, 2015. "Convergence in a Dynamic Heckscher–Ohlin Model with Land," Review of Development Economics, Wiley Blackwell, vol. 19(3), pages 725-734, August.
    4. Kawalec Paweł, 2020. "The dynamics of theories of economic growth: An impact of Unified Growth Theory," Economics and Business Review, Sciendo, vol. 6(2), pages 19-44, June.
    5. Das Gupta, Monica & Bongaarts, John & Cleland, John, 2011. "Population, poverty, and sustainable development : a review of the evidence," Policy Research Working Paper Series 5719, The World Bank.
    6. Thomas Baudin & Robert Stelter, 2022. "The rural exodus and the rise of Europe," Journal of Economic Growth, Springer, vol. 27(3), pages 365-414, September.
    7. Qianru Chen & Hualin Xie & Qunli Zhai, 2022. "Management Policy of Farmers’ Cultivated Land Abandonment Behavior Based on Evolutionary Game and Simulation Analysis," Land, MDPI, vol. 11(3), pages 1-23, February.
    8. Lichi Zhang & Yanyan Jiang & Junmin Wu, 2022. "Evolutionary Game Analysis of Government and Residents’ Participation in Waste Separation Based on Cumulative Prospect Theory," IJERPH, MDPI, vol. 19(21), pages 1-16, November.
    9. Kota Ogasawara & Mizuki Komura, 2022. "Consequences of war: Japan’s demographic transition and the marriage market," Journal of Population Economics, Springer;European Society for Population Economics, vol. 35(3), pages 1037-1069, July.
    10. Dietrich Vollrath, 2009. "The dual economy in long-run development," Journal of Economic Growth, Springer, vol. 14(4), pages 287-312, December.
    11. Ola Olsson, 2005. "Geography and institutions: Plausible and implausible linkages," Journal of Economics, Springer, vol. 10(1), pages 167-194, December.
    12. Matthias Doepke, 2007. "The Research Agenda: Matthias Doepke on the Transition from Stagnation to Growth," EconomicDynamics Newsletter, Review of Economic Dynamics, vol. 8(2), April.
    13. Gu, Tianqi & Xu, Weiping & Liang, Hua & He, Qing & Zheng, Nan, 2024. "School bus transport service strategies’ policy-making mechanism – An evolutionary game approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 182(C).
    14. Elgin, Ceyhun, 2012. "A Theory Of Economic Development With Endogenous Fertility," Macroeconomic Dynamics, Cambridge University Press, vol. 16(5), pages 686-705, November.
    15. V. I. Blanutsa, 2022. "Geographic Research of the Platform Economy: Existing and Potential Approaches," Regional Research of Russia, Springer, vol. 12(2), pages 133-142, June.
    16. David Croix & Alessandro Sommacal, 2009. "A Theory of Medical Effectiveness, Differential Mortality, Income Inequality and Growth for Pre-Industrial England," Mathematical Population Studies, Taylor & Francis Journals, vol. 16(1), pages 2-35.
    17. James Foreman-Peck & Peng Zhou, 2021. "Fertility versus productivity: a model of growth with evolutionary equilibria," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(3), pages 1073-1104, July.
    18. Wang Mingbao & Du Zhiping & Duan Hong, 2017. "Study on Participant Behavior Game of Electronic Products Reverse Supply Chain Based on ECP," Journal of Systems Science and Information, De Gruyter, vol. 5(5), pages 411-434, October.
    19. James Foreman-Peck & Peng Zhou, 2021. "Fertility versus productivity: a model of growth with evolutionary equilibria," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(3), pages 1073-1104, July.
    20. Gonçola Monteiro & Alvaro Pereira, 2006. "From Growth Spurts to Sustained Growth," Discussion Papers 06/24, Department of Economics, University of York.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0305876. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.