摘要
传统的知识社区中常常存在知识共享质量低、知识激励不足等问题。基于区块链通证激励的新型知识社区的出现,为在线知识激励提供了解决方案。但在实际应用中,区块链通证的激励作用尚不明确。为此,本文以Steemit社区为研究对象,借助面板向量自回归模型处理多变量动态关系的能力,对知识社区中通证奖励的激励效果进行分析。实证结果表明:通证奖励对社区中用户的知识共享质量具有正向影响,对知识共享数量具有负向影响;而相较于用户间的社交互动,通证激励对用户的知识共享行为的影响更小。基于上述结论,本文分析了主要原因并对区块链知识社区的通证设计及知识治理提出了相应的建议。
Traditional knowledge communities often have such problems as low quality of knowledge sharing and insufficient knowledge incentives.The emergence of knowledge community based on blockchain-token provides a solution for online knowledge incentives.However,the incentive effect of blockchain-tokens is still unclear in practice.To this end,this paper takes the Steemit community as the research object,and analyzes the effect of token incentives in the knowledge community by employing the panel vector autoregression model.The empirical results show that token incentives have a positive impact on the quality of knowledge sharing,but a negative impact on the amount of knowledge sharing.Besides,compared with social interaction,token incentives have a smaller impact on users'knowledge sharing behavior.Based on the above conclusions,this paper analyzes the main reasons and puts forward corresponding suggestions on the token design and knowledge governance for blockchain-based knowledge community.
作者
唐洪婷
李志宏
张延林
何家豪
Tang Hongting;Li Zhihong;Zhang Yanlin;He Jiahao(School of Management,Guangdong University of Technology,Guangzhou 510520;School of Business Administration,South China University of Technology,Guangzhou 510641)
出处
《管理评论》
北大核心
2023年第6期146-159,170,共15页
Management Review
基金
国家自然科学基金青年项目(72101060)
国家自然科学基金面上项目(72171089,71472051)
广东省软科学研究项目(2020A1010020038)
广东省自然科学基金面上项目(2019A1515011370)。
关键词
知识社区
知识共享
区块链
通证经济
面板向量自回归模型
knowledge community
knowledge sharing
blockchain
token economy
panel vector autoregression model