Blockchain-Enabled Data Supply Chain Governance: An Evolutionary Game Model Based on Prospect Theory

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Authors: Jie Zhang, Jian Yang
Cited by: 2
References: 34

Abstract

With the continuous expansion of data trading, the data supply chain system has gradually developed and improved. However, frequent security issues during the data transaction process have seriously hindered the development of the digital economy. As a key link in the data supply chain, the data trading market needs to use blockchain technology to achieve full-chain supervision of the data supply chain, which has become a top priority. Based on prospect theory, this paper constructs an evolutionary game model composed of data suppliers, consumers and data trading markets at all levels. The main factors affecting the system game strategy are discussed. The results show that: (1) The development of the data supply chain system can be divided into three stages, and blockchain technology plays a key role in realizing full-chain supervision of the data transaction process. The costs of blockchain adoption, market rewards, and penalties significantly affect the behavior of all parties. (2) The behavior of data suppliers has strong negative externalities and affects other participants. In addition, the larger the size of the data transaction, the lower the probability of breach by the data provider. (3) Adopting blockchain technology and implementing effective incentives can promote the development of the data supply chain.

Fields of Study & Subjects

Blockchain Technology Applications and Security Digital Platforms and Economics Supply Chain and Inventory Management

Publication details

Journal / source
Mathematics
Publisher
MDPI AG
Volume
14
Issue
3
Pages
432–432
Publication date
26 January 2026
Language
EN