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Journal of Library and Information Science in Agriculture ›› 2022, Vol. 34 ›› Issue (10): 15-18.doi: 10.13998/j.cnki.issn1002-1248.22-0680

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Influencing Factors of User Participation Behavior in Online Health Community under the Dimension of Emotional Experience

ZHU Yiping, ZHU Yi, ZHANG Cheng   

  1. School of Public Policy and Administration, Nanchang University, Nanchang 330031
  • Received:2022-09-12 Online:2022-10-05 Published:2022-11-28

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Abstract: [Purpose/Significance] Emotional experience is a purely subjective feeling of the interaction between users and products. Exploring user participation behavior and influencing factors in online health communities under the influence of user emotional experience has obvious significance for retaining users. [Method/Process] A total of 25 users of the online health platform were selected as the research objects. The semi-structured interview method was used, and the basic information of the interviewees was combined with the questionnaire. With the help of grounded theory, the original interview data were coded, and the factors influencing user participation in online health communities were analyzed. Then, the emotional experience and feedback mechanism model of user participation in online health communities was constructed by combining the "emotion-cognitive recursive model". Finally, effective cases were screened from the questionnaire, and the configuration of the influencing factors of user participation behavior and affective feedback was explored based on the principle of qualitative comparative analysis and calculation of fuzzy sets. [Results/Conclusions] Through the grounded theory coding, six factors affecting user participation behavior are obtained: risk perception, platform cognition, demand motivation, platform experience, user emotion and environment. Then combined with the cognitive-affective model, the seven main categories derived from the rooted coding were divided into three dimensions: cognitive assessment, affective experience and participatory behavior. The feedback mechanism of emotional experience after participating behavior is further studied. It is found that the cognitive evaluation including risk perception, platform cognition and demand motivation affects the emotional experience of users, thus affecting their actual participation behavior. In the process of user participation in online health community, the factors of cognitive assessment, emotional experience and participation behavior interact with each other, and have a two-way effect on user participation behavior and user cognitive assessment. Further verification by fuzzy set qualitative comparative analysis (fsQCA) shows that among the six factors affecting user participation behavior, platform experience and demand motivation are the core conditions affecting user participation in online health community, and the three single factor variables of user emotion, environment and platform cognition do not necessarily affect the generation of user participation behavior. The extraction of influencing factors and the definition of user behavior are not comprehensive, and some real variables and key engagement behaviors may be overlooked. In addition, there is an imbalance in the number of samples on each platform. Follow-up related research can improve the pertinence of the platform and expand the sample capacity.

Key words: online health community, user participation, influence factors, configuration effect, emotional experience

CLC Number: 

  • R193
[1] 第50次《中国互联网络发展状况统计报告》-互联网发展研究-人民网[EB/OL]. [2022-04-15]. http://www.cnnic.cn/n4/2022/0914/c88-10226.html.
50th the China Internet network development state statistic report - Internet development research, People's Daily online[EB/OL]. [2022-04-15]. http://www.cnnic.cn/n4/2022/0914/c88-10226.html.
[2] CARRON-ARTHUR B, CUNNINGHAM J A, GRIFFITHS K M.Describing the distribution of engagement in an Internet support group by post frequency: A comparison of the 90-9-1 principle and zipf's law[J]. Internet interventions, 2014, 1(4): 165-168.
[3] ATANASOVA S, PETRIC G.Collective empowerment in online health communities: Scale development and empirical validation[J]. Journal of medical internet research, 2019,21(11): 1-16.
[4] 马骋宇. 在线医疗社区发展现状浅析[J]. 中国医院管理, 2018, 38(5): 58-60.
MA C Y.Research on the development of online health communities in China[J]. Chinese hospital management, 2018, 38(5): 58-60.
[5] 钱宇星, 周华阳, 周利琴, 等. 老年在线社区用户健康信息需求挖掘研究[J]. 现代情报, 2019, 39(6): 59-69.
QIAN Y X, ZHOU H Y, ZHOU L Q, et al.Mining users' health information needs in senior online community[J]. Journal of modern information, 2019, 39(6): 59-69.
[6] 成全, 邓婷燕. 在线母婴社区的用户健康信息需求挖掘——基于妈妈网的实证[J]. 现代情报, 2022, 42(5): 50-57.
CHENG Q, DENG T Y.Health information needs mining of pregnant women for online maternal and infant care community - An empirical study based on mom forum of Chinese[J]. Journal of modern informa-tion, 2022,42(5): 50-57.
[7] 相甍甍, 孙畹婷, 王晰巍, 等. 在线健康社区用户复合信息行为的实证研究——信息共享和信息搜寻同步的视角[J]. 情报科学, 2022, 40(7): 111-119.
XIANG M M, SUN W T, WANG X W, et al.An empirical study on users' composite information behavior in online health community - From the perspective of information sharing and information search synchronization[J]. Information science, 2022, 40(7): 111-119.
[8] 曹仙叶, 刘嘉琪. 基于服务多样性视角的在线医疗社区患者选择决策行为[J]. 系统管理学报, 2021, 30(1): 76-87.
CAO X Y, LIU J Q.Patient choice decision behavior in online medi-cal community from the perspective of service diversity[J]. Journal of systems & management, 2021, 30(1): 76-87.
[9] 邱均平, 徐中阳, 陈锡慧. 基于三方演化博弈的在线健康社区用户隐私披露行为研究[J/OL]. 情报理论与实践, 2022: 1-17. http://kns.cnki.net/kcms/detail/11.1762.G3.20220823.1148.006.html.
QIU J P, XU Z Y, CHEN X H. Research on user privacy disclosure behavior in online health communities based on tripartite evolutionary game[J/OL]. Information studies: Theory & application, 2022: 1-17. http://kns.cnki.net/kcms/detail/11.1762.G3.20220823.1148.006.html.
[10] 周涛, 杨文静. 在线健康社区用户知识付费行为[J]. 信息与管理研究, 2021, 6(z2): 50-59.
ZHOU T, YANG W J.User's knowledge payment behavior in online health community[J]. Journal of information and management, 2021, 6(z2): 50-59.
[11] 杨雪洁, 顾东晓, 梁昌勇, 等. 在线健康社区中慢性病用户知识采纳行为研究[J]. 信息系统学报, 2020(2): 67-76.
YANG X J, GU D X, LIANG C Y, et al.Exploring factors affecting knowledge adoption of chronic disease users in online health community[J]. China journal of information systems, 2020(2): 67-76.
[12] 孙悦, 张华, 韩睿哲. 基于DEMATEL的在线健康社区中老年人持续信息采纳行为研究[J]. 长春工程学院学报(自然科学版), 2018, 19(3): 76-78.
SUN Y, ZHANG H, HAN R Z.The research on middle aged and senior people continuous information adoption behavior in online health community based on DEMATEL[J]. Journal of Changchun institute of technology (natural science edition), 2018, 19(3): 76-78.
[13] WELLMAN B, QUAN-HAASE A, BOASE J, et al.The social affor-dances of the internet for networked individualism[J]. Journal of computer-mediated communication, 2003, 8(3): 834.
[14] KOH J, KIM Y, BUTLER B, et al.Encouraging participation in virtual communities[J]. Communications of the ACM, 2007, 50(2): 69-74.
[15] 翟羽佳, 张鑫, 王芳. 在线健康社区中的用户参与行为——以“百度戒烟吧”为例[J]. 图书情报工作, 2017, 61(7): 75-82.
ZHAI Y J, ZHANG X, WANG F.User engagement in online health communities - Taking Baidu quitting smoking post bar as an example[J]. Library and information service, 2017, 61(7): 75-82.
[16] 周军杰. 用户在线参与的行为类型——基于在线健康社区的质性分析[J]. 管理案例研究与评论, 2016, 9(2): 173-184.
ZHOU J J.Examining the users' participation behavior types in online health communities: A qualitative approach[J]. Journal of management case studies, 2016, 9(2): 173-184.
[17] 张鑫. 在线健康社区用户参与行为的类型及偏好研究[J]. 情报资料工作, 2019, 40(5): 84-91.
ZHANG X.Research on types and preferences of user participation behavior in online community[J]. Information and documentation services, 2019, 40(5): 84-91.
[18] 许云红, 李仕林, 许云丽. 在线健康社区不同级别用户的参与行为研究: 基于增长模型视角[J]. 情报杂志, 2020, 39(8): 137-144.
XU Y H, LI S L, XU Y L.Participation behavior of users with different level ranks in online health communities: A growth model perspective[J]. Journal of intelligence, 2020, 39(8): 137-144.
[19] 姚志臻, 张斌. 激励机制下在线健康社区用户参与行为演化博弈分析[J]. 情报科学, 2021, 39(8): 149-155.
YAO Z Z, ZHANG B.Evolutionary game analysis of users' participation behavior in online health community under incentive mechanism[J]. Information science, 2021, 39(8): 149-155.
[20] 葛幸幸, 刘慧. 在线健康社区用户潜水向分享行为转变的动机机理分析[J]. 信息与管理研究, 2021, 6(z2): 60-68.
GE X X, LIU H.Motivation analysis of online health community users' behavior change from diving to sharing[J]. Journal of information and management, 2021, 6(z2): 60-68.
[21] LIN T C, LAI M C, YANG S W.Factors influencing physicians' knowledge sharing on web medical forums[J]. Health informatics journal, 2016, 22(3): 594-607.
[22] 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.
[23] WANG X, ZHAO K, STREET N.Analyzing and predicting user participations in online health communities: A social support perspective[J]. Journal of medical internet research, 2017, 19(4): E130.
[24] 周涛, 王盈颖, 邓胜利. 基于社会资本理论的在线健康社区用户参与行为研究[J]. 信息资源管理学报, 2020, 10(2): 59-67.
ZHOU T, WANG Y Y, DENG S L.Research on online health community users' participation based on social capital theory[J]. Journal of information resources management, 2020, 10(2): 59-67.
[25] 邓胜利, 夏苏迪, 许家辉, 等. 组态视角下在线健康社区医生知识贡献影响因素研究[J]. 情报理论与实践, 2022, 45(7): 132-139.
DENG S L, XIA S D, XU J H, et al.Research on factors affecting knowledge contribution behavior of physicians in online heath com-munity from the configuration perspective[J]. Information studies: Theory & application, 202, 45(7): 132-139.
[26] 张帅, 王文韬, 谢阳群. 在线健康社区用户持续参与行为的演化规律及动力机制[J]. 现代情报, 2021, 41(5):59-66.
ZHANG S, WANG W T, XIE Y Q.Evolutionary regularity and dynamic mechanism of online health community users' continuous participation behavior[J]. Journal of modern information, 2021, 41(5): 59-66.
[27] 陆泉, 梁悉羿, 沈雨田, 等. 在线慢病社区中社会支持对用户持续参与的影响研究[J/OL]. 图书情报知识, 2022: 1-11. http://kns.cnki.net/kcms/detail/42.1085.G2.20221008.1153.002.html.
LU Q, LIANG X Y, SHEN Y T, et al. Impact of social support on users' continued engagement in online chronic disease communities[J/OL]. Documentation, information & knowledge, 2022: 1-11.http://kns.cnki.net/kcms/detail/42.1085.G2.20221008.1153.002.html.
[28] GRENDSTAD G.Causal complexity and party preference[J]. European journal of political research, 2007, 46(1): 121-149.
[29] HUDSON J, KUEHNER S.Qualitative comparative analysis and applied public policy analysis: New applications of innovative methods introduction[J]. Policy and society, 2013, 32(4): 279-287.
[30] 周耀林, 黄玉婧. 感知风险对科研人员云存储服务持续使用行为的影响——基于扎根理论的探索性研究[J]. 现代情报, 2020, 40(8): 82-88, 97.
ZHOU Y L, HUANG Y J.The impact of perceived risk on scientific researchers' continuous use of cloud storage services - An exploratory study based on grounded theory[J]. Journal of modern information, 2020, 40(8): 82-88, 97.
[31] 原欣伟,窦天苗, 李延, 等. 在线用户社区成员持续参与意愿的影响因素研究——基于“认知—情感—意动”理论视角[J]. 现代情报, 2018, 38(5): 45-52.
YUAN X W, DOU T M, LI Y, et al.Influencing factors on members' continuance intention in online user communities - A "cognition-affection-conation" perspective[J]. Journal of modern information, 2018, 38(5): 45-52.
[32] 张薇薇, 蒋雪. 在线健康社区用户参与行为的影响因素研究综述[J]. 图书情报工作, 2020, 64(4): 136-145.
ZHANG W W, JIANG X.Review on impact factors of users' participation behavior in online health community[J]. Library and information service, 2020, 64(4): 136-145.
[33] 张敏, 刘雪瑞, 张艳. 在线健康社区用户诊疗信息求助行为形成机理的概念模型——基于扎根理论的探索性研究[J]. 情报科学,2019, 37(4): 22-28.
ZHANG M, LIU X R, ZHANG Y.Conceptual model of formation mechanism of users' medical information help-seeking behavior in online health community - Exploratory research based on the grounded theory[J]. Information science, 2019, 5(4): 22-28.
[34] 徐孝娟, 赵泽瑞. 非遗短视频用户信息需求特征及其参与行为研究——以“黄梅戏”短视频在线评论为例[J]. 现代情报, 2022, 42(8): 74-84.
XU X J, ZHAO Z R.Research on demand characteristics and participation behavior of intangible cultural heritage information of short video users - Taking "Huangmei opera" short video online review as an example[J]. Journal of modern information, 222, 42(8): 74-84.
[35] 潘涛涛, 吕英杰. 在线健康社区中基于SOR模型的用户参与行为影响因素研究[J]. 情报资料工作, 2022, 43(2): 76-83.
PAN T T, LV Y J.Research on influencing factors of user participation behavior based on SOR model in online health community[J]. Information and documentation services, 222, 43(2): 76-83.
[36] RAGIN C C.Redesigning social inquiry: Fuzzy sets and beyond[M]. Chicago: University of Chicago press, 2008.
[37] 甘春梅, 邱智燕, 徐维晞. 基于fsQCA的移动地图APP持续使用意愿影响因素研究[J]. 情报理论与实践, 2020, 43(11): 110-115.
GAN C M, QIU Z Y, XU W X.Factors affecting continuance intention to use mobile map app based on fuzzy-set qualitative comparative analysis[J]. Information studies: Theory & application, 2020, 43(11): 110-115.
[38] WOODSIDE A G.Embrace perform model: Complexity theory, contrarian case analysis, and multiple realities[J]. Journal of business research, 2014, 67(12): 2495-2503.
[39] JACOBS S, CAMBRE B.Designers' road(s) to success: Balancing exploration and exploitation[J]. Journal of business research, 2020, 115: 241-249.
[40] RAGIN C C.Set relations in social research: Evaluating their consistency and coverage[J]. Political analysis, 2006, 14(3): 291-310.
[41] FISS P C.Building better causal theories: A fuzzy set approach to typologies in organization research[J]. Academy of management journal, 2011, 54(2): 393-420.
[42] SCHNEIDER M R, SCHULZE-BENTROP C, PAUNESCU M.Mapping the institutional capital of high-tech firms: A fuzzy-set analysis of capitalist variety and export performance[J]. Journal of international business studies, 2010, 41(2): 246-266.
[43] 杨化龙, 鞠晓峰. 社会支持与个人目标对健康状况的影响[J]. 管理科学, 2017, 30(1): 53-61.
YANG H L, JU X F.The effects of social support and individual goal on health condition[J]. Journal of management science, 2017, 30(1): 53-61.
[44] 马九杰, 李文情. “大数据”平台用户持续参与网络社区价值共创的动因及中介机制研究[J]. 创新科技, 2021, 21(2): 21-28.
MA J J, LI W Q.The motivation of "big data" users' continuous participating in the value co-creation of online communities[J]. Innovation science and technology, 2021, 21(2): 21-28.
[45] 许涛. 在线音乐社区用户参与生成评论动因研究[D]. 广州: 暨南大学, 2021.
XU T.Research on the motivation of online music community users participating in comment generation[D]. Guangzhou: Jinan university, 2021.
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