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May 21, 2026Aslib Journal of Information Management

How to promote the trade of health data: an evolutionary game theory-based analysis

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Authors

YQYue QiuXYXiangbin Yan

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Overview

The study demonstrates strategies to enhance stakeholder participation in health data trading, implying better policy design.

Key Points

  • This study aims to analyze how health data trading can be effectively promoted through stakeholder strategies using evolutionary game theory.
  • Developed a four-player evolutionary game model reflecting interactions among data providers, demanders, individuals, and government.
  • Conducted numerical simulations to validate theoretical results and assess key parameter effects.
  • Identified distinct stages in health data trading with varying stable strategy combinations.
  • Government incentives significantly influence stakeholder behavior, though excessive subsidies may undermine commitment.
  • Individual perceptions of value, cost, and privacy risk are crucial for sustaining data sharing.

Cite This Study

Qiu et al. (2026) studied this question.

synapsesocial.com/papers/6a0ea17cbe05d6e3efb60337https://doi.org/10.1108/ajim-09-2025-0743
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  1. 1Evolutionary Game Analysis of the Realization of Health Big Data Value and Governance Implications2026 · 1 citations
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  4. 4The Impact of Transparent Use on Public Trust in the Utilization of Healthcare Data: An Evolutionary Game Analysis Perspective2026 · 1 citations
  5. 5Pricing Incentive Mechanisms for Medical Data Sharing in the Internet of Things: A Three-Party Stackelberg Game Approach2026