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Data Analysis and Knowledge Discovery  2019, Vol. 3 Issue (4): 63-70    DOI: 10.11925/infotech.2096-3467.2018.0666
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Analysis of Knowledge Sharing Behavior of Medical Professional Users in Online Health Communities Based on Social Capital and Motivation Theory
Yuxin Peng1,Zhaohua Deng1(),Jiang Wu2
1School of Medicine and Health Management, Huazhong University of Science and Technology, Wuhan 430030, China
2School of Information Management, Wuhan University, Wuhan 430072, China
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[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.

Key wordsOnline Health Communities      Social Capital Theory      Motivation Theory      Structural Equation Model      Knowledge Sharing     
Received: 25 June 2018      Published: 29 May 2019

Cite this article:

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, 2019, 3(4): 63-70.

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