[Purpose/significance] Analyzing the influencing factors of knowledge sharing in online health community is of great significance to optimize the knowledge service in network health community and improve the communication and dissemination of public health knowledge. [Method/process] We divided knowledge in online health communities into public health knowledge and personal health knowledge. According to the social cognitive theory, we constructed the influencing factors model, and used the structural equation model to verify and analyze the theoretical model. [Result/conclusion] The results of data analysis show that the variables, such as self-efficacy, altruism, social trust, social identity, perceived usefulness, has significantly positive impact on public health knowledge sharing behavior and personal health knowledge sharing behavior. Perceived risk has no significant impact on public health knowledge sharing behavior, but has a significantly negative impact on personal health knowledge sharing behavior.
Zhang Keyong
,
Li He
. Research on the Influencing Factors of Knowledge Sharing in Online Health Community[J]. Library and Information Service, 2017
, 61(5)
: 109
-116
.
DOI: 10.13266/j.issn.0252-3116.2017.05.015
[1] LE Q T, LEE D Y, CHAN S P.A social network system for sharing construction safety and health knowledge[J]. Automation in construction,2014, 43(46):30-37.
[2] XU W W, CHIU I H, CHEN Y, et al. Twitter hashtags for health:applying network and content analyses to understand the health knowledge sharing in a Twitter-based community of practice[J]. Quality & quantity, 2015, 49(4):1361-1380.
[3] HARA N, HEW K F. Knowledge-sharing in an online community of health-care professionals[J]. Information technology & people, 2007, 20(3):235-261.
[4] OH S. The characteristics and motivations of health answerers for sharing information, knowledge, and experiences in online environments[J]. Journal of the American Society for Information Science and Technology, 2012, 63(3):543-557.
[5] KIMMERLE J, BIENTZLE M, CRESS U. Personal experiences and emotionality in health-related knowledge exchange in internet forums:a randomized controlled field experiment comparing responses to facts vs personal experiences[J]. Journal of medical internet research, 2014, 16(12):1-7.
[6] 俞文敏,王杰,周宏宇.虚拟社区健康知识共享的优势性[J].中华现代护理杂志,2010,16(14):1700-1701.
[7] 邓朝华,蒙江.在线医疗健康社区知识共享行为研究[C]//第十五届全国计算机模拟与信息技术学术会议论文集.武汉:管理学报杂志社编辑部,2015.
[8] 王鑫.大学生心理健康教育知识共享平台构建研究[D].沈阳:东北大学,2009.
[9] WINTER D G. Manual for scoring motive imagery in running text[M]. Ann Arbor:University of Michigan,1994.
[10] LUTHANS F. Positive organizational behavior:developing and managing psychological strengths[J]. Academy of management executive, 2003, 16(1):57-75.
[11] LIN H F. Effects of extrinsic and intrinsic motivation on employee knowledge sharing intentions[J]. Journal of information science, 2007, 33(2):135-149.
[12] KIM J, LEE C, ELIAS T. Factors affecting information sharing in social networking sites amongst university students:application of the knowledge-sharing model to social networking sites[J]. Online information review,2015,39(3):290-309.
[13] 孙晓雅,陈娟娟.服务型政府知识共享影响因素的理论研究——基于自我决定理论和社会资本理论[J].情报科学,2016(6):26-30,46.
[14] CHEE W H. The predictability of individual, organizational, and technology factors on knowledge sharing processes in the construction industry of Hong Kong[D]. Newcastle:The University of Newcastle,2009.
[15] 徐海玲.基于社会资本理论的企业员工知识共享倾向研究[J].科学与管理,2010(2):70-72.
[16] ZAHEER S, MCEVILY B, PERRONE V. Does trust matter? Exploring the effects of inter-organizational and interpersonal trust on performance[J]. Organization science, 1998,9(2):141-159.
[17] 邢加宾.个人社会资本对知识共享的作用机理研究[D].青岛:青岛理工大学,2015.
[18] 张荣华.知识问答社区用户的知识共享意愿研究[D].南京:南京大学,2014.
[19] SHIN D H, CHOO H. Modeling the acceptance of socially interactive robotics:social presence in human-robot interaction[J]. Interaction studies, 2011, 12(3):430-460.
[20] 陈明红.学术虚拟社区用户持续知识共享的意愿研究[J].情报资料工作,2015(1):41-47.
[21] 王传清,毕强.泛在学术环境下科研人员知识共享行为影响因素研究[J].情报理论与实践,2012(7):61-64,55.
[22] QI T. Research on factors influencing the sharing intention in social media[C]. Paris:Atlantis Press, 2015:736-741.
[23] 张世颖.移动互联网用户生成内容动机分析与质量评价研究[D].长春:吉林大学,2014.
[24] OH S, SYN S Y. Motivations for sharing information and social support in social media:a comparative analysis of Facebook, Twitter, Delicious, YouTube, and Flickr[J]. Journal of the Association for Information Science and Technology, 2015, 66(10):2045-2060.
[25] HSU M H, CHIU C M. Predicting electronic service continuance with a decomposed theory of planned behavior[J]. Behavior & information technology, 2004, 23(5):359-373.
[26] RESE A, SCHREIBER S, BAIER D. Technology acceptance modeling of augmented reality at the point of sale:can surveys be replaced by an analysis of online reviews?[J]. Journal of retailing & consumer services, 2014, 21(5):869-876.
[27] DAVIS F D. Perceived usefulness, perceived ease of use, and user acceptance of information technology[J]. MIS quarterly, 1989,13(3):319-340.
[28] OUM S, HAN D W. An empirical study of the determinants of the intention to participate in user-created contents(UCC) services[J]. Expert systems with applications, 2011, 38(12):15110-15121.
[29] KOH J, KIM Y G, Sense of virtual community:a conceptual framework and empirical validation[J]. International journal of electronic commerce, 2001, 8(2):75-93.
[30] FEATHERMAN M S, PAVLOU P A. Predicting e-services adoption:a perceived risk facets perspective[J]. International journal of human-computer studies, 2003,59(4):451-474.
[31] YAN Z J, WANG T M, CHEN Y, et al. Knowledge sharing in online health communities:a social exchange theory perspective[J]. Information & management, 2016, 53(5):643-653.
