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September 10, 2025Advances in Economics Management and Political Sciences

Research on the Regulatory Issues of Algorithmic Personalised Pricing--Taking Ctrip Platform as an Example

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Authors

HJHui Jin

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Implication

Research highlights gaps in regulations for algorithmic personalised pricing, impacting consumer trust and market order.

Key Points

  • Algorithmic personalised pricing negatively affects consumer trust, leading to a potential trust crisis in the digital economy.
  • The study shows that existing regulations are insufficient to address the challenges posed by information asymmetry in pricing models.
  • Proposals include improved legal frameworks that incorporate big data regulations and establish dual regulatory mechanisms for efficiency.
  • Collaboration between the government and the market is essential to safeguard consumer rights and promote transparency.

Cite This Study

Hui Jin (2025) studied this question.

synapsesocial.com/papers/68c23e02b210217d64790a70https://doi.org/10.54254/2754-1169/2025.bj25491
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Challenges and Regulatory Pathways for Algorithmic Price Discrimination : A Case Study of China with Comparative International Perspectives2025
  2. 2The Legal Characterization and Regulation of Big Data "Price Discrimination" Behavior2025
  3. 3AI-driven price discrimination: strategic applications, ethical challenges, and regulatory implications2025 · 2 citations
  4. 4Pricing Algorithms and the Artificial Intelligence Act: Navigating Unchartered Waters between Competition Law and the Mainstream Regulation of Autonomous Technologies2025
  5. 5Self-Preferencing and Coordinated Conduct by Oligopolistic Platforms under Data Monopoly: Challenges and Antitrust Regulatory Responses2025 · 1 citations