基于区块链的知识密集型服务业数据共享动态激励机制的构建

The Building of a Dynamic Incentive Mechanism for Data Sharing in Knowledge-Intensive Service Industries Based on Blockchain

摘要:

过高的初始投资和维护成本以及知识密集型服务组织间天然竞争关系限制区块链广泛应用及数据共享平台发展。通过对知识密集型服务业数据共享策略进行演化博弈分析，构建一种基于区块链智能合约的知识密集型服务组织的数据共享动态激励机制。针对产业数据共享现状，于博弈模型中引入区块链投资维护成本、数据竞争成本及激励成本/收益3个影响因素，通过复制动态方程分析组织间数据共享演化稳定策略。设计数据共享激励规则，并利用智能合约技术实现动态调整激励成本/收益，鼓励服务组织积极参与数据共享。结果表明：当服务组织接受符合数据共享策略条件的激励收益后，数据共享参与者比例最终达到饱和，且激励收益越大，趋近饱和状态的速度越快；针对不同数据共享策略的激励成本不仅有效增加知识密集型服务组织参与数据共享的意愿，且为知识密集型服务业数据共享平台带来额外收入。

Abstract:

High initial investment and maintenance costs, as well as the natural competition among knowledge-intensive service organizations, have limited the widespread adoption of blockchain and the development of data-sharing platforms. Through the evolutionary game analysis of the data sharing strategy of knowledge-intensive service industry, a dynamic incentive mechanism for data sharing of knowledge-intensive service organizations based on blockchain smart contracts is constructed. In view of the current situation of data sharing for knowledge-intensive service industry, three influential factors of blockchain investment and maintenance cost, data competition cost and incentive cost/benefit are introduced into the game model, and the evolutionary stability strategy of inter-organizational data sharing is analyzed by replication dynamic equation. This study designs data sharing incentive rules and uses smart contract technology to dynamically adjust incentive costs/benefits to encourage service organizations to actively participate in data sharing. The simulation results show that when the service organization accepts the incentive benefits that meet the conditions of data sharing strategy, the proportion of data sharing participants reaches saturation eventually, and the greater the incentive benefits, the faster the speed of approaching saturation state. The incentive cost for different data sharing strategies not only effectively increases the willingness of knowledge-intensive service organizations to select data sharing, but also brings additional revenue to the knowledge-intensive service data sharing platform.