专注论文查重修改6年+经验

社交网站成瘾程度对使用者幸福感之影响─以台湾Facebook 为例

【中文摘要】:过去,社交网站(Social network

szwox.com_135
sites, SNSs)的相关研究,大多在探讨使用者的使用动机或持续使用意图,很少透过习惯来探讨过度使用以及对幸福感的影响。因此,本研究目的为了解成瘾是否为习惯的进阶因子,并探讨成瘾对使用者幸福感的影响。本研究从

毕业论文查重去哪里?文懂论文查重一站式服务,全球8大论文检测系统帮你杜绝防抄袭,提高论文原创水品。

文献整理出三个主要形成使用习惯的构念,并使用认知价值的角度来解释,分别是享乐价值、功利价值与社会价值。又随着社交网站佔据越来越多的使用人口与使用时间,为探讨其形成原因以及对现代人的影响,因而採用了成瘾和主观幸福感与心理幸福感三个构念来解释。本研究使用线上问卷,共回收318 份有效样本,透过统计分析证实本研究工具有足够之信效度。研究结果显示,认知价值对习惯的形成有正向的作用,而成瘾也的确是习惯之进阶因素,且成瘾对两种幸福感皆有正向的影响。最后,根据研究结果也提出理论与实务的建议,期望对未来相关领域的研究有助益。
【英文摘要】:Prior research on social network sites is focus on using motivation or intention of use. Seldom of them use habit to discuss excessive internet use and their impact of well-being. By focus on Facebook, this study investigates the relationship between habit and addiction, and following we will examine the relationship between addiction and
well-being. Base on prior research we found out three major habit’s antecedents, which come from perceived value, utilitarian value, hedonic value and Social value. In addition, the number of users and the time of use in Facebook are both the highest website in Taiwan. We decided to examine how this phenomenon will affect user’s mind, so we expanded our model to addiction, subjective well-being and psychological well-being. Data collected from 318 users of the Facebook provide strong support for the research model. The results suggested that habit was driven by perceived value, and habit are import

专业的事,找专业的人降低重复率就找文懂论文网,专业降低重复率5年经验

ant to addiction formation. The data also indicate that a higher level of habit increase the effect of habit on addiction. Also, the relationship between addiction and well-being are both confirmed. Practical implications for theory and practice and suggestions for future research are also discussed.
【参考文献】:

  • 中文:
  • 1. 创市际 ARO (2013). http://www.insightxplorer.com/news/news_10_11_13.html
  • 2. 数位时代 (2013a). http://www.bnext.com.tw/focus/view/cid/103/id/27267
  • 3. 数位时代 (2013b). http://www.bnext.com.tw/article/view/id/26755
  • 4. Our Mobile Planet(2014). http://think.withgoogle.com/mobileplanet/zh-tw/
  • 5. 动脑 (2013). http://www.brain.com.tw/News/RealNewsContent.aspx?ID=19305#ixzz2jshNSLeI
  • 英文:
  • 1. Ahmet, A. K. I. N. (2008). The scales of Psychological Well-being: A study of validity and
  • reliability. Educational sciences: Theory & Practice.
  • 2. Andreassen, C. S., Torsheim, T., Brunborg, G. S., & Pallesen, S. (2012). Development of a
  • Facebook addiction scale 1, 2. Psychological reports, 110(2), 501-517.
  • 3. Andreassen, C. S., Torsheim, T., Brunborg, G. S., & Pallesen, S. (2012). Development of a
  • Facebook addiction scale 1, 2. Psychological reports, 110(2), 501-517.
  • 4. Babin, B. J., Darden, W. R., & Griffin, M. (1994). Work and/or fun: measuring hedonic and
  • utilitarian shopping value. Journal of consumer research, 20, 644-656.
  • 5. Back, M. D., Stopfer, J. M., Vazire, S., Gaddis, S., Schmukle, S. C., Egloff, B., & Gosling, S. D.
  • (2010). Facebook profiles reflect actual personality, not self-idealization. Psychological
  • Science, 21(3), 372-374.
  • 6. Bargh, J. A. (1994). The Four Horsemen of Automaticity: Awareness, Efficiency, Intention, and
  • Control in Social Cognition. In Handbook of Social Cognition, R. S. Wyer and T. K. Srull (eds.),
  • Hillsdale, NJ: Lawrence Erlbaum, Associates, 1-40.
  • 7. Barnes, S. J. (2011). Understanding use continuance in virtual worlds: Empirical test of a research
  • model. Information & Management, 48(8), 313-319.
  • 8. Barnes, W., Gartland, M., & Stack, M. (2004). Old habits die hard: path dependency and behavioral
  • lock-in. Journal of Economic Issues, 38(2), 371-377.
  • 9. Bawa, K. (1990). Modeling Inertia and Variety Seeking Tendencies in Brand Choice Behavior.
  • Marketing Science, 9 (3), 263-278.
  • 10. Beard, K. W., & Wolf, E. M. (2001). Modification in the proposed diagnostic criteria for Internet
  • addiction. CyberPsychology & Behavior, 4(3), 377-383.
  • 11. Becker, G. S., & Murphy, K. M. (1988). A theory of rational addiction. The Journal of Political
  • Economy, 675-700.
  • 12. Bhattacherjee, A. (2001). Understanding information systems continuance: an
  • expectation-confirmation model. MIS quarterly, 25(3), 351-370.
  • 13. Bradburn, N. M. (1969). The structure of psychological well-being. Chicago: Aldine.
  • 14. Brown, I. (1988). Arousal during play in normal machine gamblers. Unpublishrd manuscript,
  • Department of Psychology, University of Glasgow.
  • 56
  • 15. Brown, I. (1997). A theoretical model of the behavioural addictions – applied to offending. In J. E.
  • Hodge, M. McMurran, & C. R. Hollin (Eds.), Addicted to crime? (pp 13–65). Chichester: John
  • Wiley.
  • 16. Burke, M., Kraut, R., & Marlow, C. (2011, May). Social capital on Facebook: Differentiating uses
  • and users. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp.
  • 571-580). ACM.
  • 17. Cacioppo, J. T., & Berntson, G. G. (1999). The affect system architecture and operating
  • characteristics. Current directions in psychological science, 8(5), 133-137.
  • 18. Campbell, L. C., Campbell Eichhorn, K., Early, C., Caraccioli, P., & Greeley, A. E. (2012).
  • Applying the transthoretical model to improve social media use in the health care industry.
  • American Journal of Health Studies, 27(4).
  • 19. Charlton, J. P., & Danforth, I. D. (2007). Distinguishing addiction and high engagement in the
  • context of online game playing. Computers in Human Behavior, 23(3), 1531-1548.
  • 20. Cheung, C. M., Chiu, P. Y., & Lee, M. K. (2011). Online social networks: Why do students use
  • facebook?. Computers in Human Behavior, 27(4), 1337-1343.
  • 21. Cheung, C. M., Chiu, P. Y., & Lee, M. K. (2011). Online social networks: Why do students use
  • facebook?. Computers in Human Behavior, 27(4), 1337-1343.
  • 22. Chircu, A. M., & Mahajan, V. (2006). Managing electronic commerce retail transaction costs for
  • customer value. Decision Support Systems, 42(2), 898-914.
  • 23. Chiu, C. M., Cheng, H. L., Huang, H. Y., & Chen, C. F. (2013). Exploring individuals’ subjective
  • well-being and loyalty towards social network sites from the perspective of network externalities:
  • The Facebook case. International Journal of Information Management, 33, 539–552.
  • 24. Chiu, C. M., Hsu, M. H., Lai, H. c., & Chang, C. M. (2012). Re-examining the influence of trust on
  • online repeat purchase intention: The moderating role of habit and its antecedents,” Decision
  • Support Systems, 53, 835–845.
  • 25. Chou, T. J., & Ting, C. C. (2003). The role of flow experience in cyber-game
  • addiction. CyberPsychology & Behavior, 1(3), 237-244.
  • 26. De Valck, K., Van Bruggen, G. H., & Wierenga, B. (2009). Virtual communities: A marketing
  • perspective. Decision Support Systems, 47(3), 185-203.
  • 27. Dholakia, U. M., Bagozzi, R. P., & Pearo, L. K. (2004). A social influence model of consumer
  • participation in network-and small-group-based virtual communities. International journal of
  • research in marketing, 21(3), 241-263.
  • 28. Diamantopoulos, A., & Siguaw, J. A. (2006). Formative versus reflective indicators in
  • organizational measure development: a comparison and empirical illustration. British Journal of
  • Management, 17(4), 263-282.
  • 29. DiClemente, C. C., & Prochaska, J. O. (1998). Toward a comprehensive, transtheoretical model of
  • change: Stages of change and addictive behaviors.
  • 30. Diener, E., & Lucas, R. E. (1999). Personality and subjective well-being.
  • 57
  • 31. Diener, E., Oishi, S., & Lucas, R. E. (2009). Subjective Well-Being: The Science of Happiness and
  • Life Satisfaction. Oxford handbook of positive psychology, 187.
  • 32. Egger, O., & Rauterberg, M. (1996). Internet behavior and addiction. Available from: <
  • http://www.ifap.bepr.ethz.ch/0eger/ibq/res.html>
  • 33. Ellison, N. B., Steinfield, C., & Lampe, C. (2007). The benefits of Facebook “friends:” Social
  • capital and college students’ use of online social network sites.Journal of Computer‐Mediated
  • Communication, 12(4), 1143-1168.
  • 34. Ellison, N. B., Vitak, J., Gray, R., & Lampe, C. (2014). Cultivating social resources on social
  • network sites: Facebook relationship maintenance behaviors and their role in social capital
  • processes. Journal of Computer‐Mediated Communication.
  • 35. Ellison, N. B., Vitak, J., Gray, R., & Lampe, C. (2014). Cultivating social resources on social
  • network sites: Facebook relationship maintenance behaviors and their role in social capital
  • processes. Journal of Computer‐Mediated Communication.
  • 36. Ergün, G., Stopher, P. R., & Al-Ahmadi, H. M. (1999). Captivity Revisited.Journal of transportation
  • engineering, 125(1), 1-7.
  • 37. Facebook Newsroom. (2014). http://newsroom.fb.com/company-info/
  • 38. FIND. (2013). http://www.find.org.tw/find/home.aspx?page=many&id=359
  • 39. Fredrickson, B. L. (2000). Cultivating positive emotions to optimize health and
  • well-being. Prevention & Treatment, 3(1), 1a. doi: 10.1037/1522-3736.3.1.31a
  • 40. Fromm, E. (1978). Primary and secondary process in waking and in altered states of consciousness.
  • Journal of Altered States of Consciousness.
  • 41. Galletta, D. F., & Polak, P. (2003, December). An empirical investigation of antecedents of Internet
  • abuse in the workplace. In Proceedings of the second annual workshop on HCI research in MIS,
  • Seattle (pp. 47-51).
  • 42. Gold, S.N., & Heffner, C.L. (1998). Sexual addiction: many conceptions, minimal data. Clinical
  • Psychology Review, 18:367–381.
  • 43. Gonzales, A. L., & Hancock, J. T. (2011). Mirror, mirror on my Facebook wall: Effects of exposure
  • to Facebook on self-esteem. Cyberpsychology, Behavior, and Social Networking, 14(1-2), 79-83.
  • 44. Gosling, S. D., Gaddis, S., & Vazire, S. (2007). Personality Impressions Based on Facebook
  • Profiles. In ICWSM.
  • 45. Griffiths M. (1998). Internet addiction: Does it really exist? In J. Gackenbach (Ed.), Psychology and
  • the internet: Intrapersonal, interpersonal, and transpersonal applications (pp. 61–75). New York:
  • Academic Press.
  • 46. Griffiths, M. (1995).Technological addictions. Clinical Psychology Forum, 76,14-19.
  • 47. Griffiths, M. (1996a). Internet addiction: An issue for clinical psychology? Clinical Psychology
  • Forum, 97, 32–36.
  • 48. Griffiths, M. (2000). Does Internet and computer" addiction" exist? Some case study
  • evidence. CyberPsychology and Behavior, 3(2), 211-218.
  • 58
  • 49. Guinea, D., Ortiz, A., & 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(3), 433-444.
  • 50. Hazari, B., & Chesney, M. (1998). Irrational entry, rational exit. Journal of Mathematical
  • Economics, 29:1–13.
  • 51. Hirschman, E. C., & Holbrook, M. B. (1982). Hedonic consumption: emerging concepts, methods
  • and propositions. The Journal of Marketing46, 92-101.
  • 52. Honkanen, P., Olsen, S. O., & Verplanken, B. (2005). Intention to consume seafood—the
  • importance of habit. Appetite, 45(2), 161-168.
  • 53. Hsu, S. H., Wen, M. H., & Wu, M. C. (2009). Exploring user experiences as predictors of
  • MMORPG addiction. Computers & Education, 53(3), 990-999.
  • 54. Hull, C. L. (1943). Principles of behavior: An introduction to behavior theory. New York:
  • Appleton-Century Crofts.
  • 55. Iacovelli, A., & Valenti, S. (2009). Internet addiction’s effect on likeability and rapport. Computers
  • in Human Behavior, 25(2), 439-443.
  • 56. International Telecommunication Union. (2014).
  • http://www.itu.int/en/ITU-D/Statistics/Pages/facts/default.aspx
  • 57. Internet World Stats. (2013). http://www.internetworldstats.com/stats3.htm
  • 58. Ji, M. F., & Wood, W. (2007). Purchase and consumption habits: Not necessarily what you
  • intend. Journal of Consumer Psychology, 17(4), 261-276.
  • 59. Jin, C. (2013). The perspective of a revised TRAM on social capital building: The case of Facebook
  • usage. Information & Management, 50(4), 162-168.
  • 60. Kahneman, D., Diener, E., & Schwarz, N. (Eds.). (1999). Well-being: Foundations of hedonic
  • psychology. Russell Sage Foundation.
  • 61. Khalifa, M., & Liu, V. (2007). Online consumer retention: contingent effects of online shopping
  • habit and online shopping experience. European Journal of Information Systems, 16(6), 780-792.
  • 62. Kim, S. S., Malhotra, N. K., & Narasimhan, S. (2005). Research Note—Two Competing
  • Perspectives on Automatic Use: A Theoretical and Empirical Comparison. Information Systems
  • Research, 16(4), 418-432.
  • 63. Kraut, R., Patterson, M., Lundmark, V., Kiesler, S., Mukophadhyay, T., & Scherlis, W. (1998).
  • Internet paradox: A social technology that reduces social involvement and psychological
  • well-being?. American Psychologist, 53(9), 1017.
  • 64. Lankton, N. K., Wilson, E. V., & Mao, E. (2010). Antecedents and determinants of information
  • technology habit. Information & management,47(5), 300-307.
  • 65. Lee, W., Xiong, L., & 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(3), 819-827.
  • 66. Lee, W., Xiong, L., & Hu, C. (2012). The effect of Facebook users’ arousal and valence on intention
  • 59
  • to go to the festival: Applying an extension of the technology acceptance model. International
  • Journal of Hospitality Management, 31(3), 819-827.
  • 67. Liao, C., Palvia, P., & Lin, H. N. (2006). The roles of habit and web site quality in
  • e-commerce. International Journal of Information Management, 26(6), 469-483.
  • 68. Limayem, M., & Cheung, C. M. (2008). Understanding information systems continuance: The case
  • of Internet-based learning technologies. Information & Management, 45(4), 227-232.
  • 69. Limayem, M., & Hirt, S. G. (2003). Force of habit and information systems usage: theory and
  • initial validation. Journal of the Association for Information Systems, 4(1), 3.
  • 70. Limayem, M., Hirt, S. G., & Cheung, C. M. (2007). How habit limits the predictive power of
  • intention: the case of information systems continuance. MIS Quarterly, 705-737.
  • 71. Lin, C. S., Wu, S., & Tsai, R. J. (2005). Integrating perceived playfulness into
  • expectation-confirmation model for web portal context. Information & Management, 42(5),
  • 683-693.
  • 72. Lin, K. Y., & Lu, H. P. (2011). Intention to continue using Facebook fan pages from the perspective
  • of social capital theory. CyberPsychology, Behavior, and Social Networking, 14(10), 565-570.
  • 73. Liu, Y., & Tam, L. (2013). Not All Repeat Customers Are the Same: Designing Effective
  • Cross-Selling Promotion on the Basis of Attitudinal Loyalty and Habit. Journal of Marketing, 77(5),
  • 21-36. 16p. 4 Charts.
  • 74. Marlatt, G. A., Baer, J. S., Donovan, D. M., & Kivlahan, D. R. (1988). Addictive behaviors:
  • Etiology and treatment. Annual review of Psychology, 39(1), 223-252.
  • 75. McMullan, R. (2005). A multiple-item scale for measuring customer loyalty development. Journal
  • of Services Marketing, 19(7), 470-481.
  • 76. Messinis, G. (1999). Habit formation and the theory of addiction. Journal of Economic Surveys,
  • 13(4), 417-442.
  • 77. Moody, G. D., & Siponen, M. (2013). Using the theory of interpersonal behavior to explain
  • non-workrelated personal use of the Internet at work. Information & Management, 50, 322–335.
  • 78. Moore, M. J. (2005). The Transtheoretical Model of the Stages of Change and the Phases of
  • Transformative Learning Comparing Two Theories of Transformational Change. Journal of
  • Transformative Education, 3(4), 394-415.
  • 79. Nie, N. H., Hillygus, D. S., & Erbring, L. (2002). Internet use, interpersonal relations, and
  • sociability: A time diary study. In B. Wellman & C. Haythornthwaite (Eds.), The Internet in
  • everyday life, 215–243.
  • 80. Oliver, R. L. (1999). Whence consumer loyalty?. the Journal of Marketing, 63, 33-44.
  • 81. Oreg, S. (2003). Resistance to change: developing an individual differences measure. Journal of
  • applied psychology, 88(4), 680-693.
  • 82. Pavlou, P. A., Liang, H., & Xue, Y. (2007). Understanding and mitigating uncertainty in online
  • exchange relationships: A principal-agent perspective. MIS quarterly, 31(1), 105-136.
  • 83. Piderit, S. K. (2000). Rethinking resistance and recognizing ambivalence: A multidimensional view
  • 60
  • of attitudes toward an organizational change. Academy of management review, 25(4), 783-794.
  • 84. Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases
  • in behavioral research: a critical review of the literature and recommended remedies. Journal of
  • applied psychology, 88(5), 879.
  • 85. Polites, G. L., & Karahanna, E. (2012). Shackled to the Status Quo: The Inhibiting Effects of
  • Incumbent System Habit, Switching Costs, and Inertia on New System Acceptance. MIS
  • Quarterly, 36(1), 21-42.
  • 86. Polites, G. L., & Karahanna, E. (2013). The embeddedness of information systems habits in
  • organizational and individual level routines: development and disruption. MIS Quarterly, 37(1),
  • 221-246.
  • 87. Pöyry, E., Parvinen, P., & Malmivaara, T. (2013). Can we get from liking to buying? Behavioral
  • differences in hedonic and utilitarian Facebook usage. Electronic Commerce Research and
  • Applications, 12(4), 224-235.
  • 88. Prochaska, J. M., Prochaska, J. O., & Levesque, D. A. (2001). A transtheoretical approach to
  • changing organizations. Administration and Policy in Mental Health and Mental Health Services
  • Research, 28(4), 247-261.
  • 89. Prochaska, J. O., & DiClemente, C. C. (1982). Transtheoretical therapy: Toward a more integrative
  • model of change. Psychotherapy: Theory, Research & Practice, 19(3), 276.
  • 90. Prochaska, J. O., & DiClemente, C. C. (1986). Toward a comprehensive model of change (pp. 3-27).
  • Springer US.
  • 91. Prochaska, J. O., Norcross, J. C., & DiClemente, C. C. (1994). Changing for good: A revolutionary
  • six-stage program for overcoming bad habits and moving your life positively forward. New York:
  • Avon.
  • 92. Prochaska, J. O., Norcross, J. C., Fowler, J. L., Follick, M. J., & Abrams, D. B. (1992). Attendance
  • and outcome in a work site weight control program: Processes and stages of change as process and
  • predictor variables. Addictive Behaviors, 17(1), 35-45.
  • 93. Raacke, J., & Bonds-Raacke, J. (2008). MySpace and Facebook: Applying the uses and
  • gratifications theory to exploring friend-networking sites. CyberPsychology & behavior, 11(2),
  • 169-174.
  • 94. Rauniar, R., Rawski, G., Yang, J., & Johnson, B. (2014). Technology acceptance model (TAM) and
  • social media usage: an empirical study on Facebook. Journal of Enterprise Information
  • Management, 27(1), 6-30.
  • 95. Rumelt, R. P. (1995). Inertia and transformation (pp. 101-132). Springer US.
  • 96. Ryan, R. M., & Deci, E. L. (2001). On happiness and human potentials: A review of research on
  • hedonic and eudaimonic well-being. Annual review of psychology, 52(1), 141-166.
  • 97. Ryff, C. D. (1989a). Happiness is everything, or is it? Explorations on the meaning of psychological
  • well-being. Journal of personality and social psychology, 57(6), 1069.
  • 98. Ryff, C. D. (1989b). In the eye of the beholder: Views of psychological well-being among
  • 61
  • middle-aged and older adults. Psychology and aging, 4(2), 195-210.
  • 99. Ryff, C. D. (1995). Psychological well-being in adult life. Current directions in psychological
  • science, 4(4), 99-104.
  • 100. Ryff, C. D., & Keyes, C. L. M. (1995). The structure of psychological well-being revisited. Journal
  • of personality and social psychology, 69(4), 719.
  • 101. Sánchez-Fernández, R., & Iniesta-Bonillo, M. Á. (2007). The concept of perceived value: a
  • systematic review of the research. Marketing Theory, 7(4), 427-451.
  • 102. Seligman, M. E., & Csikszentmihalyi, M. (2000). Positive psychology: an introduction. American
  • psychologist, 55(1), 5-14.
  • 103. Sonja Grabner-Kraeuter, Martin Waiguny, Why users stay in online social networks: Perceptions of
  • value, trust, subjective norm, and the moderating influence of duration of use, American Marketing
  • Association / Winter 2011
  • 104. Sweeney, J. C., & Soutar, G. N. (2001). Consumer perceived value: the development of a multiple
  • item scale. Journal of retailing, 77(2), 203-220.
  • 105. Tolman, E. C. (1932). Purposive behavior in animals and men. University of California Pr.
  • 106. Turel, O., Serenko, A., & Bontis, N. (2011a). Family and work-related consequences of addiction to
  • organizational pervasive technologies. Information & Management, 48(2), 88-95.
  • 107. Turel, O., Serenko, A., & Giles, P. (2011b). Integrating Technology Addiction and Use: An
  • Empirical Investigation of Online Auction Users. MIS Quarterly, 35(4), 1043-1061.
  • 108. Urbach, N., & Ahlemann, F. (2010). Structural equation modeling in information systems research
  • using partial least squares. Journal of Information Technology Theory and Application, 11(2), 5-40.
  • 109. Valkenburg, P. M., Peter, J., & Schouten, A. P. (2006). Friend networking sites and their relationship
  • to adolescents” well-being and social self-esteem.CyberPsychology & Behavior, 9(5), 584-590.
  • 110. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information
  • technology: Toward a unified view. MIS quarterly, 425-478.
  • 111. Venkatesh, V., Thong, J., & Xu, X. (2012). Consumer acceptance and use of information technology:
  • Extending the unified theory of acceptance and use of technology. MIS quarterly, 36(1), 157-178.
  • 112. Verplanken, B., & Aarts, H. (1999). Habit, attitude, and planned behaviour: is habit an empty
  • construct or an interesting case of goal-directed automaticity?.European review of social
  • psychology, 10(1), 101-134.
  • 113. Verplanken, B., & Orbell, S. (2003). Reflections on Past Behavior: A Self‐Report Index of Habit
  • Strength1. Journal of Applied Social Psychology, 33(6), 1313-1330.
  • 114. Vitt, L. A. (2013). Advisor-Boomer Client Relationships: Raising Financial Literacy and Retirement
  • Well-Being. Journal of Financial Service Professionals, 67(5), 75-88. 14p.
  • 115. Vohs, K. D., & Heatherton, T. F. (2000). Self-regulatory failure: A resource-depletion approach.
  • Psychological science, 11(3), 249-254.
  • 116. Wang, N.,Kosinski, M.,Stillwell, D.,Rust, J.(2014). Can Well-Being be Measured Using Facebook
  • Status Updates? Validation of Facebook”s Gross National Happiness Index, Social Indicators
  • 62
  • Research, 115(1), 483-491.
  • 117. Waterman, A. S. (1993). Two conceptions of happiness: Contrasts of personal expressiveness
  • (eudaimonia) and hedonic enjoyment. Journal of personality and social psychology, 64(4), 678.
  • 118. Watson, J. B. (1914). Behavior: An Introduction to Comparative Behavior. New York: Holt.
  • 119. Widyanto, L., & Griffiths, M. (2007). Internet addiction: Does it really exist?(Revisited) (pp.
  • 127-149). Amsterdam: Elsevier/Academic Press.
  • 120. Wilcox, K., & Stephen, A. T. (2013). Are close friends the enemy? Online social networks,
  • self-esteem, and self-control. Journal of Consumer research, 40(1), 90-103.
  • 121. Young, K. S. (1998). Internet addiction: The emergence of a new clinical disorder.
  • 122. Young, K. S. (2007). Cognitive behavior therapy with Internet addicts: treatment outcomes and
  • implications. CyberPsychology & Behavior, 10(5), 671-679.
  • 123. Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: a means-end model and
  • synthesis of evidence. The Journal of Marketing, 51(3),2-22.
  • 来源:中山大学;作者:李明怡
    文懂论文-重复率修改第一品牌,http://www.szwox.com解决论文查重论文降重复,重复率高等各种论文难题的专家

    最新文章

    • 什么是学术不端行为
      什么是学术不端行为
      什么是学术不端行为 1992 年,由美国国家科学院、国家工程院和国家医学研究院组成的 22 位...
    • 论文降重复服务 1. 本网站及服务 szwox.com提供哪些服务? szwox.com是一个...

    联络我们

    QQ: 767326772
    文懂论文
    网站:http://www.szwox.com/
    E-mail: turuinit@foxmail.com

    我们的服务

    我们提供毕业论文、期刊论文、硕士论文、博士论文、会议论文格式排版,论文查重,重复率修改等服务。强大论文查重系统,一手老师资源,首创安全保密查重修改流程。充分保障客户论文查重安全以及修改后的品质,赢得了老师和同学们的信任和口碑。