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User Real Comments Incentive Mechanism Based on Blockchain in E-Commerce Transactions-A Tripartite Evolutionary Game

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  • 1School of Business, Ningbo University, Ningbo 315211, China.

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Summary
This summary is machine-generated.

This study proposes a blockchain solution to combat fake e-commerce reviews. Incentivizing authentic feedback with smart contracts and tokens enhances trust and system stability, creating a more reliable online marketplace.

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Area of Science:

  • Computer Science
  • Economics
  • Information Systems

Background:

  • Fake comments plague e-commerce platforms, eroding trust.
  • Existing mechanisms struggle to incentivize authentic user feedback.
  • Fraudulent reviews negatively impact buyer decisions and market stability.

Purpose of the Study:

  • To analyze and propose a blockchain-based solution for incentivizing authentic user feedback.
  • To reduce the prevalence of fraudulent reviews on e-commerce platforms.
  • To enhance transparency and order within the online comment ecosystem.

Main Methods:

  • Construction of a tripartite evolutionary game model (sellers, buyers, platforms).
  • Analysis of strategy evolution under different incentive factors.
  • Simulation using replication dynamic equation analysis and Matlab software.

Main Results:

  • Smart contracts and tokens effectively incentivize real comments and deter speculative sellers.
  • Blockchain structuring lowers informational entropy, increasing system stability.
  • Increased penalties for dishonesty under a "credit on the chain" system reduce fraud and promote trust.

Conclusions:

  • Blockchain-based mechanisms can significantly enhance order and transparency in e-commerce reviews.
  • The proposed solution mitigates fake comments and fosters a more reliable online marketplace.
  • Findings offer strategic insights for platforms to encourage genuine feedback and reduce informational entropy.