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

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.

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Publication Details

Journal
PLoS ONE
Published
2024-08-22
DOI
https://doi.org/10.1371/journal.pone.0305876
Primary Topic
Digital Platforms and Economics
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Gang Xie, Wenjian Li, Jiwen Tai, Liya Ba et al.
PLoS ONE
Digital Platforms and Economics
article

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

Gang Xie, Wenjian Li, Jiwen Tai, Liya Ba, Jingxuan Zhou
article en

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.

PLoS ONEVol. 19(8)
Jiangsu University (CN), Civil Aviation Flight University of China (CN)
National Office for Philosophy and Social Sciences, National Social Science Fund of China
Peace, Justice and strong institutions
Openalex Percentile: Top 77%
Digital Platforms and Economics
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