Interpersonal Relationship, Knowledge Characteristic, and Knowledge Sharing Behavior of Online Community Members: A TAM Perspective

Author:

Jiarui Wu1,Xiaoli Zhang2ORCID,Jiafu Su345ORCID

Affiliation:

1. Hotel Management Institute, Yunnan Tourism College, Kunming 650221, China

2. Anhui Technical College of Mechanical and Electrical Engineering, Wuhu 241000, China

3. Chongqing City Vocational College, Chongqing 402160, China

4. International College, Krirk University, Bangkok 10220, Thailand

5. National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Chongqing 400067, China

Abstract

With the rapid development of information science and technology, online communities are attracting an increasing number of participants, who can share information, create original content, and offer emotional support, thus communicating and spreading knowledge frequently within the community. To develop a model of influencing factors for the knowledge sharing behavior of online community members, this study employs the technology acceptance model (TAM) as a moderator variable based on the social exchange theory. In this study, the influencing factors model for knowledge sharing behavior of online community members was tested using PLS-SEM. The results show that knowledge sharing is motivated by trust and quality of knowledge; the interaction term of perceived usefulness and knowledge quality of the user has a significant negative correlation with the knowledge sharing behavior of online community users; perceived usefulness significantly positively moderates the correlation between knowledge tacitness and knowledge sharing behavior of users; perceived ease of use significantly positively moderates the relationship between knowledge quality and knowledge sharing behavior; perceived ease of use significantly negatively moderates the relationship between knowledge tacit and knowledge sharing behavior. In order to maximize the activity and stickiness of the online community platform, the platform must focus on maintaining and enhancing the platform’s credibility and knowledge quality. On the other hand, the online community platform extols its professional utility and ease of operation, which are conducive to the generation of behavior that is conducive to knowledge sharing.

Publisher

Hindawi Limited

Subject

General Mathematics,General Medicine,General Neuroscience,General Computer Science

Reference43 articles.

1. Research on continuous knowledge sharing behavior in open innovation communities;T. Wang;Information Science,2017

2. A combined fuzzy DEMATEL and TOPSIS approach for estimating participants in knowledge-intensive crowdsourcing

3. Knowledge sharing in interest online communities: A comparison of posters and lurkers

4. Usability and Sociability in Online Communities: A Comparative Study of Knowledge Seeking and Contribution

5. Research on the influence of social capitaland technical support on knowledge sharing in academic virtual communities: analysis of knowledge sharing elements based on the platform of science net;X. Xu;Science & Technology Progress and Policy,2022

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