Blockchain-enabled Q & A communities: the impact of task technology matching on willingness to share knowledge

【Author】 Zhang, Shengtai; Shi, Wenjuan; Zhang, Mengtao

【Source】NEURAL COMPUTING & APPLICATIONS

【影响因子】5.102

【Abstract】Online Q & A communities provide Internet users with an online platform for knowledge dissemination, communication and sharing. The characteristics of blockchain technology, such as untampered, traceability, and data up-chaining, can help solve the problems of knowledge privacy protection, affirming knowledge Ownership, and trust deficit faced by users when sharing knowledge in traditional online Q & A communities, and enhance users' willingness to share knowledge on the platform. Studying users' perceived characteristics and usage attitudes toward blockchain embedded in online platforms is important for enhancing users' willingness to share knowledge and exploring the management mechanism of blockchain technology on online platforms. Based on the task-technology matching theory and technology acceptance model, this paper explores the impact of task-technology matching on users' perceived characteristics and digs deeper into how users' perceived characteristics of blockchain technology affect users' usage attitudes and thus stimulate users' willingness to share knowledge. Task-technology matching also positively influences users' willingness to share knowledge by positively affecting perceived characteristics and users' attitudes toward using. The findings of the study provide inspiration and guidance on how platforms can use new technologies to enhance users' willingness to share knowledge.

【Keywords】Blockchain technology; Online Q & A community; Task-technology matching; Technology acceptance model; Willingness to share knowledge

【发表时间】2023 2023 JUN 22

【收录时间】2023-07-31

【文献类型】实验仿真

【主题类别】

区块链治理-市场治理-DAO