[Objective] Based on social capital theory and motivation theory, this paper constructs a research model and explores the factors affecting the willingness of medical professional users to share knowledge from multiple dimensions. [Methods] The questionnaire survey method is used to collect data online, SPSS20 is used for descriptive statistics and factor analysis, and the structural equation model is used to verify the hypotheses. [Results] The results are as follows: trust (β=0.10, P<0.05), shared vision(β=0.19, P<0.01), altruism(β=0.17, P<0.05), reputation(β=0.12, P<0.05), and altruism moderated by knowledge self-efficacy have a positive significant impact on the willingness to share knowledge (β=0.13, P<0.05), but social interaction, identification, reciprocity have no significant impact on the willing to share knowledge (P>0.05). [Limitations] There is also a need to dig deeper reasons for variables that are not significant. [Conclusions] The results provide a theoretical evidence for the research of medical professional user’s knowledge sharing intention, and provides references for online health community managers to formulate knowledge sharing incentive mechanism for medical professional users, which has certain practical significance.
彭昱欣,邓朝华,吴江. 基于社会资本与动机理论的在线健康社区医学专业用户知识共享行为分析*[J]. 数据分析与知识发现, 2019, 3(4): 63-70.
Yuxin Peng,Zhaohua Deng,Jiang Wu. Analysis of Knowledge Sharing Behavior of Medical Professional Users in Online Health Communities Based on Social Capital and Motivation Theory. Data Analysis and Knowledge Discovery, DOI：10.11925/infotech.2096-3467.2018.0666.
(Gan Chunmei, Huang Yue.An Empirical Study on Factors Affecting Different User Behaviors in Social Q&A Community[J]. Documentation, Information & Knowledge, 2017(6): 114-124.)
Zhang X, Liu S, Deng Z, et al.Knowledge Sharing Motivations in Online Health Communities: A Comparative Study of Health Professionals and Normal Users[J]. Computers in Human Behavior, 2017, 75: 797-810.
Wu H, Lu N. Online Written Consultation, Telephone Consultation and Offline Appointment: An Examination of the Channel Effect in Online Health Communities[J]. International Journal of Medical Informatics, 2017, 107: 107-119.
Bandura A.Self-Efficacy Mechanism in Human Agency[J]. American Psychologist, 1982, 37(2): 122-147.
Chen C J, Hung S W.To Give or to Receive? Factors Influencing Members’ Knowledge Sharing and Community Promotion in Professional Virtual Communities[J]. Information & Management, 2010, 47(4): 226-236.
Dev R D O, Kamalden T F T, Geok S K, et al. Spiritual Intelligence on Health Behaviours Among Malaysian University Students in a Malaysian Public University: The Mediating Role of Self Efficacy[J]. Malaysian Journal of Movement, Health & Exercise, 2018, 7(2): 53-64.
Chiu C M, Hsu M H, Wang E T G. Understanding Knowledge Sharing in Virtual Communities: An Integration of Social Capital and Social Cognitive Theories[J]. Decision Support Systems, 2006, 42(3): 1872-1888.
Chow W S, Chan L S. Social Network, Social Trust and Shared Goals in Organizational Knowledge Sharing[J]. Information & Management, 2008, 45(7):458-465.
(Zhao Yuemin, Li Mengjun, Chen Huaping.An Empirical Study on Consumer’s Information Sharing Behavior in Virtual Community[J]. Chinese Journal of Management, 2010, 7(10): 1490-1494.)
Ransbotham S, Kane G C.Membership Turnover and Collaboration Success in Online Communities: Explaining Rises and Falls from Grace in Wikipedia[J]. Management Information Systems Quarterly, 2011, 35(3): 613-627.
Brass D J, Burkhardt M E.Potential Power and Power Use: An Investigation of Structure and Behavior[J]. Academy of Management Journal, 1993, 36(3): 441-470.
Guo S, Guo X, Fang Y, et al.How Doctors Gain Social and Economic Returns in Online Health-Care Communities: A Professional Capital Perspective[J]. Journal of Management Information Systems, 2017, 34(2): 487-519.
Kankanhalli A, Tan B C Y, Wei K K. Contributing Knowledge to Electronic Knowledge Repositories: An Empirical Investigation[J]. Management Information Systems Quarterly, 2005, 29(1): 113-143.