影响医疗社群网站使用者的忠诚度与持续使用意图的因素的实证研究
An Empirical Study on Factors Affecting Users of Health Social Networking Sites in Loyalty and Continuing Usage Intentions
摘要: 本研究主要以理性行为理论为基础，纳入科技-个人-环境理论之三个研究构面，以了解哪些因素会影响医疗社群网站使用者之忠诚度与持续使用意图。本研究针对有使用Facebook医疗社群网站之法定成年人进行问卷发放，共收集到205份有效问卷，并以统计软件Smart PLS 3.2与SPSS 22去验证各变量之间的假设关系及依变量间之解释能力。研究结果发现，影响医疗社群网站使用者之忠诚度与持续使用意图的因素有态度、主观规范、满意度等变项，而态度会受到知觉易用性、知觉有趣性、信任、隐私政策所影响，进而再影响持续使用意图。鉴于国内对于医疗社群网站之相关文献仍为付之阙如，故本研究之研究议题具有高度创新性及再深入剖析之研究范畴，冀望为学术上扮演重要参考依据之一。
Abstract: This research is mainly based on the rational behavior and puts it into three research areas of technological, personal and environmental theory in order to know about what kind of factors can influence the loyalty of users in Health Social Networking Sites (HSNS) and whether they can continue to use it. This research is to hand out between the legal adults who use the HSNS in Facebook. We have gathered 205 effective questionnaires and use the Statistics Software Smart PLS 3.2 & SPSS 22 to validate the assumption of relationship between each variable and explanation ability between variables. According to the survey, we found that the factors influencing the loyalty of users in HSNS and whether they can continue to use it are attitudes, subjective norm and satisfaction, etc., but attitudes will be influenced by perceived ease of use, perceived playfulness, trust, privacy policy, and then affect the continuous use intention. The domestic HSNS for the literature of the site is still to pay for the rights, so the research topic of this research is highly innovative and has the research category of further analysis, hoping to play one of important academic references.
文章引用：黄维民, 刘淑芬, 苏雅涵. 影响医疗社群网站使用者的忠诚度与持续使用意图的因素的实证研究[J]. 社会科学前沿, 2017, 6(1): 1-12. http://dx.doi.org/10.12677/ASS.2017.61001

参考文献

[1] Greene, J.A., Choudhry, N.K., Kilabuk, E. and Shrank, W.H. (2011) Online Social Networking by Patients with Diabetes: A Qualitative Evaluation of Communication with Facebook. Journal of General Internal Medicine, 26, 287- 292.
https://doi.org/10.1007/s11606-010-1526-3
[2] Gajanayake, R., Iannella, R. and Sahama, T. (2011) Sharing with Care: An Information Accountability Perspective. IEEE Internet Computing, 15, 31-38.
https://doi.org/10.1109/MIC.2011.51
[3] Darley, D.K., Blankson, C. and Luethge, D.J. (2010) Toward an Integrated Framework for Online Consumer Behavior and Decision Making Process: A Review. Psychology and Marketing, 27, 94-116.
https://doi.org/10.1002/mar.20322
[4] Richter, J.P., Muhlestein, D.B. and Wilks, C.E.A. (2014) Social Media: How Hospitals Use It, and Opportunities for Future Use. Journal of Healthcare Management, 59, 447-460.
[5] Gruman, J., Royne M.H., French, M.E., Jeffress, D., Sofaer, S., Shaller, D. and Prager, D.J. (2010) From Patient Education to Patient Engagement: Implications for the Field of Patient Education. Patient Education and Counseling, 78, 350-356.
https://doi.org/10.1016/j.pec.2010.02.002
[6] Lee, R. (2012) The Rise of the E-Patient, Understanding Social Networks and Online Health Information Seeking. Pew Internet Project, Pew Research Center.
[7] Gallant, L.M., Irizarry, C., Boone, G. and Kreps, G.L. (2011) Promoting Participatory Medicine with Social Media: New Media Applications on Hospital Websites That Enhance Health Education and E-Patients’ Voices. Journal of Participatory Medicine, 3, e49.
[8] Ratzan, S.C. (2011) Our New “Social” Communication Age in Health. Journal of Health Communication, 16, 803-804.
https://doi.org/10.1080/10810730.2011.610220
[9] Tustin, N. (2010) The Role of Patient Satisfaction in Online Health Information Seeking. Journal of Health Communication, 15, 3-17.
https://doi.org/10.1080/10810730903465491
[10] Hernández-Ortega, B. (2011) The Role of Post-Use Trust in the Acceptance of a Technology: Drivers and Consequences. Technovation, 31, 523-538.
https://doi.org/10.1016/j.technovation.2011.07.001
[11] Nigro, C., Iannuzzi, E., Petracca, M. and Del Vecchio, S. (2015) How Health Care Moves on the Web: The Case of Health Social Network. 18th Toulon-Verona Conference on Excellence in Services, Palermo, 31 August-1 September 2015, 387-399.
[12] Liang, X., Barua, M., Lu, R., Lin, X. and Shen, X.S. (2012) HealthShare: Achieving Secure and Privacy-Preserving Health Information Sharing through Health Social Networks. Computer Communications, 35, 1910-1920.
https://doi.org/10.1016/j.comcom.2012.01.009
[13] Bloemer, J.M.M. and Kasper, H.D.P. (1995) The Complex Relationship between Consumer Satisfaction and Brand Loyalty. Journal of Economic Psychology, 16, 311-329.
https://doi.org/10.1016/0167-4870(95)00007-B
[14] Luis, V.C., Carlos, F. and Miguel, G. (2010) Relationship Quality, Community Promotion and Brand Loyalty in Virtual Communities: Evidence from Free Software Communities. International Journal of Information Management, 30, 357-367.
https://doi.org/10.1016/j.ijinfomgt.2010.01.004
[15] Smith, E.R. (2001) Seven Steps to Building E-Loyalty. Medical Marketing and Media, 36, 94-103.
[16] Ortiz De Guinea, A. and Markus, M.L. (2009) Why Break the Habit of a Lifetime? Rethinking the Roles of Intention, Habit, and Emotion in Continuing Information Technology Use. MIS Quarterly, 33, 433-444.
[17] Oliver, R.L. (1980) A Cognitive Model of the Antecedents and Consequences of Satisfaction. Journal of Marketing Research, 17, 460-469.
https://doi.org/10.2307/3150499
[18] Bhattacherjee, A. (2001) Understanding Information Systems Continuance: An Expectation-Confirmation Model. MIS Quarterly, 25, 351-370.
https://doi.org/10.2307/3250921
[19] Ajzen, I. and Fishbein, M. (1980) Understanding Attitudes and Predicting Social Behavior. Prentice-Hall, Englewood Cliffs.
[20] Cheung, C.M.K. and Lee, M.K.O. (2009) Understanding the Sustainability of a Virtual Community: Model Development and Empirical Test. Journal of Information Science, 35, 279-298.
https://doi.org/10.1177/0165551508099088
[21] Farrow, H. and Yuan, Y.C. (2011) Building Stronger Ties with Alumni through Facebook to Increase Volunteerism and Charitable Giving. Journal of Computer-Mediated Communication, 16, 445-464.
https://doi.org/10.1111/j.1083-6101.2011.01550.x
[22] Jiang, Y., Chen, D. and Lai, F. (2010) Technologi-cal-Personal-Environmental (TPE) Framework: A Conceptual Model for Technology Acceptance at the Individual Level. Journal of International Technology and Information Management, 19, 89-98.
[23] Sum Chau, V. and Ngai, L.W. (2010) The Youth Market for Internet Banking Services: Perceptions, Attitude and Behavior. Journal of Services Marketing, 24, 42-60.
https://doi.org/10.1108/08876041011017880
[24] 周君倚, 陆洛. 以科技接受模式探讨数字学习系统使用态度——以成长需求为调节变项[J]. 资管管理学报, 2014, 21(1): 83-106.
[25] Lee, W., Xiong, L. and Hu, C. (2012) The Effect of Facebook Users’ Arousal and Valence on Intention to Go to the Festival: Applying an Extension of the Technology Acceptance Model. International Journal of Hospitality Management, 31, 819-827.
https://doi.org/10.1016/j.ijhm.2011.09.018
[26] Hsu, C.L. and Lin, J.C.C. (2008) Acceptance of Blog Usage: The Roles of Technology Acceptance, Social Influence and Knowledge Sharing Motivation. Information & Management, 45, 65-74.
https://doi.org/10.1016/j.im.2007.11.001
[27] Shin, D.H. (2010) The Effects of Trust, Security and Privacy in Social Networking: A Security-Based Approach to Understand the Pattern of Adoption. Interacting with Computers, 22, 428-438.
https://doi.org/10.1016/j.intcom.2010.05.001
[28] Shih, H.P., Lai, K.H. and Cheng, T.C.E. (2013) Informational and Relational Influence Son Electronic Word of Mouth: An Empirical Study of an Online Consumer Discussion Forum. International Journal of Electronic Commerce, 17, 137-165.
https://doi.org/10.2753/JEC1086-4415170405
[29] 徐凯玲, 任文瑗. 影响行动体适能健康管理服务使用意图之前置因子——以My Tracks为例[J]. 信息管理研究, 2011(11): 63-82.
[30] Stutzman, F., Capra, R. and Thompson, J. (2011) Factors Mediating Disclosure in Social Network Sites. Computers in Human Behavior, 27, 590-598.
https://doi.org/10.1016/j.chb.2010.10.017
[31] Karaali, D., Gumussoy, C.A. and Calisir, F. (2011) Factors Affecting the Intention to Use a Web-Based Learning System among Blue-Collar Workers in the Automotive Industry. Computers in Human Behavior, 27, 343-354.
https://doi.org/10.1016/j.chb.2010.08.012
[32] Baker, R.K. and White, K.M. (2010) Predicting Adolescents’ Use of Social Networking Sites from an Extended Theory of Planned Behaviour Perspective. Computers in Human Behavior, 26, 1591-1597.
https://doi.org/10.1016/j.chb.2010.06.006
[33] Ku, Y.-C., Chen, R. and Zhang, H. (2013) Why Do Users Continue Using Social Networking Sites? An Exploratory Study of Members in the United States and Taiwan. Information & Management, 50, 571-581.
https://doi.org/10.1016/j.im.2013.07.011
[34] Lankton, N.K., McKnight, D.H. and Thatcher, J.B.(2012) The Moderating Effects of Privacy Restrictiveness and Experience on Trusting Beliefs and Habit: An Empirical Test of Intention to Continue Using a Social Networking Website. IEEE Transactions on Engineering Management, 59, 654-665.
https://doi.org/10.1109/TEM.2011.2179048
[35] 余朝权, 卢瑞阳, 陈映儒. 社群网站特性与使用者忠诚度, 持续参与意图之关系[J]. 企业管理学报, 2012(95): 71-100.
[36] Ryu, M.H., Kim, J. and Kim, S. (2014) Factors Affecting Application Developers’ Loyalty to Mobile Platforms. Computers in Human Behavior, 40, 78-85.
https://doi.org/10.1016/j.chb.2014.08.001
[37] 许丽玲, 徐村和, 唐嘉伟, 陈嘉奇. 社会影响与社群特性对于部落客任务价值及Blog持续使用意图之影响[J]. 电子商务学报, 2011, 13(4): 781-816.
[38] Lam, S.Y., Shankar, V., Erramilli, M.K. and Murthy, B. (2004) Customer Value, Satisfaction, Loyalty, and Switching Costs: An Illustration from a Business-to-Business Service Context. Journal of the Academy of Marketing Science, 32, 293-311.
https://doi.org/10.1177/0092070304263330
[39] 徐纯慧, 王董文. 转换成本之内涵及其对顾客忠诚的影响——以在线购物平台为例[J]. 营销评论, 2011, 8(3): 295-314.
[40] Davis, F.D. (1989) Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13, 319-340.
https://doi.org/10.2307/249008
[41] Gao, Q., Rau, P.L.P. and Salvendy, G. (2009) Perception of Interactivity: Affects of Four Key Variables in Mobile Advertising. International Journal of Human-Computer Interaction, 25, 479-505.
https://doi.org/10.1080/10447310902963936
[42] Gefen, D., Karahanna, E. and Straub, D.W. (2003) Trust and TAM in Online Shopping: An Integrated Model. MIS Quarterly, 27, 51-90.
[43] Au, N., Ngai, E.W. and Cheng, T.E. (2008) Extending the Understanding of End User Information Systems Satisfaction Formation: An Equitable Needs Fulfillment Model Approach. MIS Quarterly, 32, 43-66.
[44] Bansal, H.S., Irving, P.G. and Taylor, S.F. (2004) A Three-Component Model of Customer to Service Providers. Journal of the Academy of marketing Science, 32, 234-250.
https://doi.org/10.1177/0092070304263332
[45] Culnan, M.J., Carlin, T.J. and Logan, T.A. (2006) Bentley-Watchfire Survey of Online Privacy Practices in Higher Education.
[46] Schierz, P.G., Schilke, O. and Wirtz, B.W. (2010) Understanding Consumer Acceptance of Mobile Payment Services: An Empirical Analysis. Electronic Commerce Research and Applications, 9, 209-216.
https://doi.org/10.1016/j.elerap.2009.07.005
[47] Deng, Z., Lu, Y., Wei, K.K. and Zhang, J. (2010) Understanding Customer Satisfaction and Loyalty: An Empirical Study of Mobile Instant Messages in China. International Journal of Information Management, 30, 289-300.
https://doi.org/10.1016/j.ijinfomgt.2009.10.001
[48] Hair, J.F., Anderson, R.E., Tatham, R.L. and Black, W.C. (1998) Multivariate Data Analysis. 5th Edition, Prentice Hall, Upper Saddle River.
[49] 李奇勋, 苏瑞莲. 知觉价值, 满意度, 转换成本及其他厂商吸引力对顾客忠诚度的影响[J]. 台湾管理学刊, 2012, 12(2): 117-137.

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