区块链虚拟知识社区中用户知识结构对激励机制有效性影响  

Study on the Impact of Users'Knowledge Structure on the Effectiveness of Incentive Mechanisms in Blockchain-based Virtual Knowledge Community

作　　者：李志宏[1] 余悦 许小颖 乔贵鸿 Li Zhihong;Yu Yue;Xu Xiaoying;Qiao Guihong(School of Business Administration,South China University of Technology,Guangzhou 510641,China)

机构地区：[1]华南理工大学工商管理学院,广东广州510641

出　　处：《科技管理研究》2023年第21期142-154,共13页Science and Technology Management Research

基　　金：国家自然科学基金项目“区块链自治组织投票垄断分析及其动态治理机制研究——基于社会计算方法”(72171089);国家自然科学基金项目“基于区块链的多方协同推荐系统及其激励机制设计研究”(72071083);广东省自然科学基金面上项目“基于区块链的推荐系统数据共享机制设计研究”(2021A1515012003)。

摘　　要：基于自我决定理论和知识结构理论,引入知识广度和知识深度作为调节变量,对Steemit社区2018年1月1日至2018年4月2日的用户行为面板数据运用层级回归的方法,探究区块链虚拟知识社区中用户知识结构对激励机制有效性的影响。主效应回归结果表明,经济激励、股份激励和社区治理权激励均能有效促进知识贡献质量的提升;调节效应回归结果表明,相比经济激励,股份激励和治理权激励能更有效触发有价值的专家用户创新。研究发现为区块链虚拟知识社区激励机制优化提供了相关启示。Based on the self-determination theory and knowledge structure theory,the knowledge breadth and knowledge depth are introduced as the moderating variables,and the method of hierarchical regression is used to explore the influence of user knowledge structure on the effectiveness of incentive mechanism in blockchainbased virtual knowledge community by using hierarchical regression on the user behavior panel data of Steemit community from January 1,2018 to April 2,2018.The results of main effect regression show that economic incentives,share incentives and governance incentives can effectively promote the improvement of the quality of knowledge contribution.The results of moderating effect regression show that compared with economic incentives,share incentives and governance incentives can more effectively trigger valuable expert user innovation.The research results provide enlightenments for the optimization of the incentive mechanism of blockchain-based virtual knowledge community.

关 键 词：区块链 虚拟知识社区 知识结构 激励机制 知识贡献 

分 类 号：C93[经济管理—管理学] G301[文化科学]