簡易檢索 / 詳目顯示

研究生: 鄭立婷
Li-ting Cheng
論文名稱: 互動性對於部落客的神迷、滿意度和分享行為之影響
The Impact of Interactivity on Flow, Satisfaction, and Sharing Behavior for Bloggers
指導教授: 盧希鵬
Hsi-peng Lu
林娟娟
Chuan-chuan Lin
口試委員: 欒斌
Luarn Pin
學位類別: 碩士
Master
系所名稱: 管理學院 - 資訊管理系
Department of Information Management
論文出版年: 2008
畢業學年度: 96
語文別: 英文
論文頁數: 51
中文關鍵詞: 互動性神迷滿意度分享行為性別
外文關鍵詞: Interactivity, Flow, Satisfaciton, Sharing Behavior, Gender
相關次數: 點閱:342下載:0
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 近年來,隨著部落格使用的興起,部落格服務提供者之間的競爭愈趨激烈。縱使互動性被視為部落客選擇部落格平台的重要因素,然而,關於線上互動性對於部落客使用部落格的滿意度,以及對於部落格平台之成功因素的分享行為之影響的瞭解卻仍顯不足。此外,不僅互動性會影響使用者的滿意度,神迷也有同樣的效果。因此,本研究旨在探討 (a) 互動性對於滿意度和神迷是否會有正向的影響,(b) 神迷對於滿意度是否會有正向的影響,與(c)使用者滿意度對於分享行為是否會有正向的影響。在此篇研究中,互動性被分為人與系統、人與訊息和人與人之間的三種互動。針對3500位透過無名小站隨機推薦功能所找到的部落客,發出問卷相關的邀請訊息後,共回收699份有效問卷。結果顯示人與人的互動對於神迷的影響最大,同時,人與系統和人與人的互動對於滿意度的影響也較強烈。此外,神迷對於使用部落格時的滿意度影響最大,而分享行為則會受到此滿意度的影響。最後,我們也發現了互動性對於神迷和滿意度的影響會因為性別的不同而有所差異。


    Recently, with the growing popularity of blogs, competitions among blog service providers are enormous. Despite interactivity is regarded as an essential factor for bloggers in choosing blogging platforms, little is understood as to the impact of online interactivity on bloggers’ satisfaction towards using blogs and sharing behavior, the key point of a successful blogging platform. Moreover, not only would interactivity induce user satisfaction, but flow experience could do it. Therefore, the present study was conducted to evaluate: (a) whether interactivity positively influences satisfaction and flow experience, (b) whether flow positively influences satisfaction, and (c) whether user satisfaction positively influences sharing behavior. In this study, interactivity was categorized as human-system, human-message and human-human interaction. A survey instrument was distributed to 3500 bloggers selected by the random recommendation function of WRETCH, and a total of 699 usable responses were obtained. The results suggested that human-human interaction had the most significant effect on flow, and satisfaction was much more affected by both human-system and human-human interactions. In addition, flow was the largest predictor of satisfaction while using blogs, and sharing behavior was influenced by satisfaction. Finally, a significant gender variation was found for the effects of interactivity on flow and satisfaction. Implications for blog website designers are discussed.

    Chapter I Introduction ..................................... 1 Chapter II Literature Review ............................... 5 2.1 Flow theory and the importance of flow.................. 5 2.2 Interactivity .......................................... 6 2.3 Gender ................................................. 8 Chapter III Research Model and Hypotheses ..................11 3.1 Satisfaction and sharing behavior ......................11 3.2 Interactivity, satisfaction and flow....................12 3.3 Flow and satisfaction...................................14 3.4 Gender .................................................15 Chapter IV Research Method .................................17 4.1 Measurement instruments ................................17 4.2 Pre-test and pilot test ................................18 4.3 Data collection and demographics .......................18 Chapter V Data Analysis and Results ........................22 5.1 Measurement model assessment ...........................22 5.2 Structural model assessment ............................25 Chapter VI Discussions and Implications.....................29 Chapter VII Limitations ....................................34 Reference...................................................35 Appendix A..................................................47 Appendix B..................................................48 Appendix C .................................................51

    1. Addison, C. (2006). Web 2.0: a new chapter in development in practice? Development in Practice, 16(6), 623-627.
    2. Ahuja, M., Galletta, D., & Carley, K. (2003). Individual centrality and performance in virtual R&D groups: an empirical study. Management Science, 49(1), 21-38.
    3. Anderson, E. W., & Sullivan, M. W. (1993). The antecedents and consequences of customer satisfaction for firms. Marketing Science, 12(2), 125-143.
    4. Anderson, R. E., & Srinivasan, S. S. (2003). E-satisfaction and e-loyalty: a contingency framework. Psychology & Marketing, 20(2), 123-138.
    5. Ariely, D. (2000). Controlling the information low: effects on consumers' decision makeing and preferences. Journal of Consumer Research, 27(2), 233-248.
    6. Athanassopoulos, A., Gounaris, S., & Stathakopoulos, V. (2001). Behavioral responses to customer satisfaction: an empirical study. European Journal of Marketing,, 35(5/6), 687-707.
    7. Bame, A. E., Dugger, W. E. J., de Vries, M., & McBee, J. (1993). Pupils' attitudes toward technology–PATT-USA. Journal of Technology Studies, 19(1), 40-48.
    8. Bansal, H. S., & Taylor, S. F. (1999). The service provider switching model (SPSM): a model of consumer switching behaviour in the service industry. Journal of service Research, 2(2), 200-218.
    9. Barclay, D., Higgins, C., & Thompson., R. (1995). The partial least squares approach to causal modeling, personal computing adoption and use as an illustration. Technology Studies, 2(2), 285-309.
    10. Baronas, A. K., & Louis, M. R. (1988). Restoring a sense of control during implementation. MIS Quarterly, 12(1), 111-123.
    11. Berthon, P., Pitt, L. F., & Waston, R. T. (1996). Marketing communication and the World Wide Web. Business Horizons, 39(5), 24-32.
    12. Bettman, J., Luce, M. F., & Payne, J. W. (1998). Constructive consumer choice processes. Journal of Consumer Research, 25(3), 187-217.
    13. Bezjian-Avery, Alexa, Calder, B., & Iacobucci, D. (1998). New media interactive advertising vs. traditional advertising. Journal of Advertising Research, 38(4), 23-32.
    14. Bloemer, J., de Ruyter, K., & Wetzels, M. (1999). Linking perceived service quality and service loyalty: a multi-dimensional perspective. European Journal of Marketing,, 33(11/12), 1082-1106.
    15. Bolan, K., Canada, M., & Cullin, R. (Winter 2007). Web, library, and teen services 2.0. Young Adult Library Services.
    16. Borsook, T. K., & Higginbotham-Wheat, N. (1991). Interactivity: what is it and what can it do for computer-based instruction. Educational Technology, 31(10), 11-17.
    17. Boser, R. A., Palmer, J. D., & Daugherty, M. K. (1998). Students' attitudes toward technology in selected technology education programs. Journal of Technology Education, 10(1), 4-18.
    18. Boulos, M. N. K., & Wheeler, S. (2007). The emerging Web 2.0 social software: an enabling suite of sociable technologies in health and health care education. Health Information and Libraries Journal, 24, 2-23.
    19. Butler, D. (2000). Gender, girls and computer technology: what's the status now? Clearing House, 73(4), 225-229.
    20. Carlson, M., & Clark, F. (1991). The search for useful methodologies in occupational science. American Journal of Occupational Therapy, 45, 235-241.
    21. Carman, J. M. (1990). Consumer perceptions of service quality: an assessment of the servqual dimensions. Journal of Retailing, 66(1), 64-73.
    22. Cauberghe, V., & Pelsmacker, P. D. (2008). The impact of banners on digital television: the role of program interactivity and product involvement. CYBERPSYCHOLOGY & BEHAVIOR, 11(1), 91-94.
    23. Chau, M., & Xu, J. (2007). Mining communities and their relationships in blogs: a study of online hate groups. International Journal of Human-Computer Studies, 65, 57-70.
    24. Chen, H., Wigand, R. T., & S., N. M. (1999). Exploring web users' optimal flow experiences. Computers in Human Behavior, 15(5), 585-608.
    25. Chin, W. W. (1998). Issues and opinions on structural equation modeling. MIS Quartly, 22(1), vii-xvi.
    26. Chin, W. W., Marcolin, B. L., & Newsted, P. R. (2003). A partial least squares latent variable modeling approach for measuring interaction effects: results from a Monte Carlo simulation study and an electronic mail emotion/adoption study. Information Systems Research, 14(2), 189-217.
    27. Chin, W. W., & Todd, P. A. (1995). On the use, usefulness, and ease of use of structural equation modeling in MIS research: a note of caution. MIS Quarterly, 19(2), 237-246.
    28. Chiou, J. S. (2004). The antecedents of consumers' loyalty toward Internet Service Providers. Information & Management, 41(6), 685-695.
    29. Cooper, J., & Weaver, K. D. (2003). Gender and Computers: Understanding the Digital Divide. Mahwah, NJ: Erlbaum.
    30. Cronin, J. J., Brady, M. K., & Hult, G. T. M. (2000). Assessing the effects of quality, value, and customer satisfaction on consumer behavioural intentions in service environments. Journal of Retailing, 76(2), 193-218.
    31. Csikszentmihalyi, M. (1975). Beyond Boredom and Anxiety. San Francisco, CA: Jossey-Bass.
    32. Csikszentmihalyi, M. (1988). Introduction. In M. Csikszentmihalyi & I. Csitszentmihalyi (Eds.), Optimal Experience: Psychological Studies of Flow in Consciousness. Cambridge, UK: Cambridge University Press.
    33. Csikszentmihalyi, M. (1990). Flow: The Psychology of Optimal Experience. New York: Harper & Row.
    34. Csikszentmihalyi, M., & Csikszentmihalyi, I. S. (1988). Optimal experience. In Psychological Studies of Flow in Consciousness. Cambridge: Cambridge University Press.
    35. DeLone, W. H., & McLean, E. R. (1992). Information systems success: the quest for the dependent variable. Information Systems Research, 3(1), 60-95.
    36. Devaraj, S., Fan, M., & Kohli, R. (2002). Antecedents of B2C channel satisfaction and preference: validating e-commerce metrics. Information Systems Research, 13(3), 316-333.
    37. Dholakia, R. R., Zhao, M., Dholakia, N., & David R. Fortin. (2000). Interactivity and revisits to websites: a theoretical framework [Electronic Version]. RITIM Working Paper from http://ritim.cba.uri.edu/wp2001/wpdone3/Interactivity.pdf.
    38. D'Intino, R. S., Goldsby, M. G., Houghton, J. D., & Neck, C. P. (2007). Self-Leadership: A Process for Entrepreneurial Success. Journal of Leadership & Organizational Studies, 13(4), 105-120.
    39. Dubelaar, C., Leong, M., & Alpert, F. (2003). Impact of interactivity on the stickiness of online gift stores. Journal of Asia Pacific Marketing, 2(2), 22-41.
    40. Dysart, J. (1998). Interactivity: the web's new standard. In The Craft of Network Computing (Vol. 2, pp. 30-37): NetWorker.
    41. Eagly, A. H., & Karau., S. J. (1991). Gender and the emergence of leaders: a meta-analysis. Journal of Personality and Social Psychology, 60, 685-710.
    42. Eagly, A. H., & Wood, W. (1991). Explaining sex differences in social behavior: a meta-analytic perspective. Personality and Social Psychological Bulletin, 17, 306-315.
    43. Falk, R. F., & Miller, N. B. (1992). A Primer for Soft Modeling. Akron, OH: University of Akron Press.
    44. Flanagin, A. J., & Metzger, M. J. (2001). Internet use in the contemporary media environment. Human Communication Research, 27(1), 153-181.
    45. Fornell, C. R., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
    46. Fu, F., Liu, L., & Wang, L. (2007). Empirical analysis of online social networks in the age of Web 2.0. Physica A: Statistical Mechanics and its Applications, 387(2-3), 675-684.
    47. Gatian, A. W. (1994). Is user satisfaction a valid measure of system effectiveness? Information and Management, 26(3), 119-131.
    48. Gefen, D., & Straub, D. W. (1997). Gender differences in the perception and use of e-mail: an extension to the technology acceptance model. MIS Quarterly, 21(4), 389-400.
    49. Ghani, J. A. (1991). Flow in human-computer interactions: test of a model. In I. J. o. Carey (Ed.), Human Factors in Management Information Systems: An Organizational Perspective (Vol. 3). Norwood, NJ: Ablex Publishing Corp.
    50. Ghani, J. A., & Deshpande, S. P. (1994). Task characteristics and the experience of optimal flow in human - computer interaction. The Journal of Psychology, 128(4), 381-391.
    51. Ghani, J. A., Supnick, R., & Rooney, P. (1991). The experience of flow in computer-mediated and in face-to-face groups. Paper presented at the Proceedings of the twelfth international conference on Information systems.
    52. Ghose, S., & Dou, W. (1998). Interactive Functions and Their Impacts on the Appeal of Internet Presence Sites. Journal of Advertising Research, 38(2), 29-43.
    53. Guo, Y., Klein, B., Ro, Y., & Rossin, D. (2007). The Impact of Flow on Learning Outcomes in a Graduate-Level Information Management Course. Journal of Global Business Issues, 1(2), 31-39.
    54. Guo, Y., & Ro, Y. (2005). Capturing flow in the business classroom: a study in progress. Paper presented at the Proceedings of the 36th Annual Meeting of Decision Sciences Institute, San Francisco.
    55. Ha, L., & James, E. L. (1998). Interactivity reexamined: a baseline analysis of early business web sites. Journal of Broadcasting and Electronic Media, 42(4), 457-469.
    56. Hackel, S. H. (1998). About the nature and future of interactive marketing. Journal of Interactive Marketing, 12(1), 63-71.
    57. Hagel, J., & Armstrong, A. (1997). Net Gain: Expanding Markets through Virtual Communities. MA: Harvard Business School Press.
    58. Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate Data Analysis (5 ed.). Englewood Cliffs, NJ: Prentice Hall.
    59. Haubl, G., & Trifts, V. (2000). Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Decision Aids. Marketing Science, 19(1), 4-21.
    60. Hoffman, D. L., & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments: conceptual foundations. Journal of Marketing, 60(3), 50-68.
    61. Hsu, C. L., & Lu, H. P. (2004). Why do people play online games? An extended TAM with social influences and flow experience. Information and Management, 41(7), 853-868.
    62. Hsu, M.-H., Ju, T. L., Yen, C.-H., & Chang, C.-M. (2007). Knowledge sharing behavior in virtual communities: The relationship between trust, self-efficacy, and outcome expectations. International Journal of Human-Computer Studies, 65, 153-169.
    63. Huizingh, E. K. R. E., & Hoekstra, J. C. (2003). Why do consumers like websites? Journal of Targeting, Measurement and Analysis for Marketing, 11(4), 350-361.
    64. Iivari, J. (2005). An empirical test of the Delone-Mclean model of information system success. The Database for Advances in Information Systems, 36(2), 8-27.
    65. Ilie, V., Slyke, C. V., Green, G., & Lou, H. (2005). Gender differences in perceptions and use of communication technologies: a diffusion of innovation approach. Information Resources Management Journal, 18(3), 13-31.
    66. Insightxplorer. (2006). Tthe Annual Arrival Rates of Popular Blog Websites in Taiwan. Retrieved May 2008, from http://www.insightxplorer.com/news/news_10_18_06.html (in Traditional Chinese)
    67. InsightXplorer. (2007). The Survey of Bloggers' Tendancy and Satisfaction towards Administering Blogs. Retrieved May 2008, from http://www.insightxplorer.com/specialtopic/self_blog200710.html (in Traditional Chinese)
    68. ISO 9241-11 (1998) Ergonomic requirements for office work with visual display terminals (VDTs)—Part 11: guidance on usability.
    69. Jung, T., Youn, H., & McClung, S. (2007). Motivations and self-presentation strategies on korean-based "cyworld" weblog format personal homepages. CYBERPSYCHOLOGY & BEHAVIOR, 10(1), 24-31.
    70. Keil, M., Tan, B. C. Y., Wei, K. K., Saarinen, T., Tuunainen, V., & Wassenaar, A. (2000). A cross-cultural study on escalation of commitment behavior in software projects. MIS Quarterly, 24(2), 299-325.
    71. Kennedy, T. L. M., Wellman, B., & K. Klement. (2003). Gendering the digital divide. IT & Society, 1(5), 72-96.
    72. Kierzkowski, A., Mcquade, S., Waitman, R., & Zeisser, M. (1996). Marketing to the digital consumer. The McKinsey Quarterly, 3, 5-21.
    73. Kipper, D. (1992). The dynamics of role satisfaction: a theoretical model. Group Psychotherapy, Psychodrama and Psychology, 4, 141-160.
    74. Konradt, U., & Sulz, K. (2001). The Experience of Flow in Interacting With a Hypermedia Learning Environment. Journal of Educational Multimedia and Hypermedia, 10(1), 69-84.
    75. Koufaris, M. (2002). Applying the technology acceptance model and flow theory to online consumer behavior. Information Systems Research, 13(2), 205-223.
    76. Kozinets, R. V. (1999). E-tribalized marketing? The strategic implications of virtual communities of consumption. European Management Journal, 17(3), 252-264.
    77. Lee, T. (2005). The impact of perceptions of interactivity on customer trust snd transaction intentions in mobile commerce. Journal of Electronic Commerce Research, 6(3), 165-180.
    78. Lerouge, C., Newton, S., & Blanton, J. E. (2005). Exploring the systems analyst skill set: perceptions, preferences, age, and gender. Journal of Computer Information Systems, 45(3), 12-23.
    79. Liao, L.-F. (2006). A flow theory perspective on learner motivation and behavior in distance education. Distance Education, 27(1), 45-62.
    80. Light, A., & Wakeman, I. (2001). Beyond the interface: users' perceptions of interaction and audience on web sites. Interacting with Computers, 13(3), 325-351.
    81. Liu, C., & Arnett, K. P. (2000). Exploring the factors associated with web site success in the context of electronic commerce. Information & Management, 38(1), 23-33.
    82. Liu, C.-H., & Chou, S.-L. (2008). The Analysis of Entertainment on the Internet in Taiwan: Market Intelligence Center (MIC). (in Traditional Chinese)
    83. Liu, S.-H., Liao, H.-L., & Zeng, Y.-T. (2007). Why people blog: an expectancy theory analysis. Issues in Information Systems, VIII(2), 232-237.
    84. Liu, Y., & Shrum, L. J. (2002). What is interactivity and is it always wuch a good thing? Implications of definition, person, and situation for the inflouence of interactivity on advertising effectiveness. Journal of Advertising, 31(4), 53-64.
    85. Logan, O. (1988). Flow in solitary ordeals. In M. Csikszentmihalyi & I. Csikszentmihalyi (Eds.), Optimal Experience: Psychological Studies of Flow in Consciousness. Cambridge, UK: Cambridge University Press.
    86. Lohmoller, J.-B. (1989). Latent Variable Path Modeling with Partial Least Squares. Heidelberg: Physica-Verlag.
    87. Lowry, P. B., Spaulding, T., Wells, T., Moody, G., Moffit, K., & Madariaga, S. (2006). A theoretical model and empirical results linking website interactivity and usability satisfaction. Paper presented at the Proceedings of the 39th Annual Hawaii International Conference on System Sciences - Volume 06.
    88. Macias, W. (2003). A preliminary structural equation model of comprehension and persuasion of interactive advertising brand web sites [Electronic Version]. Journal of Interactive Advertising, 3. Retrieved June 2008 from http://jiad.org/vol3/no2/macias/index.htm.
    89. Massimini, F., & Carli, M. (1988). The systematic assessment of flow in daily experience. In M. Csikszentmihalyi & I. Csikszentmihalyi (Eds.), Optimal Experience: Psychological Studies of Flow in Consciousness. New York: Cambridge University Press.
    90. McMillan, S. J. (2002). Exploring models of interactivity from multiple research traditions: users, documents, and systems. In L. A. Lievrouw & S. Livingstone (Eds.), Handbook of New Media: Social Shaping and Consequences of ICTs (pp. 163-182). London: Sage.
    91. Molla, A., & Licker, P. S. (2001). E-commerce systems success: an attempt to extend and respecify the Delone and Mclean Model of IS success. Journal of Electronic Commerce Success, 2(4), 1-11.
    92. Moon, J. W., & Kim, Y. G. (2001). Extending the TAM for a World-Wide-Web context Information & Management, 38(4), 217-230.
    93. Nardi, B. A., Schiano, D. J., Gumbrecht, M., & Swartz, L. (2004). Why we blog. COMMUNICATIONS OF THE ACM, 47(12), 41-46.
    94. Newhagen, J. E., & Rafaeli, S. (1996). Why communication researchers should study the internet: a dialogue. Journal of Communication 46(1), 4-13.
    95. Novak, T. P., Hoffman, D. L., & Yung, Y.-F. (2000). Measuring the customer experience in online environments: a structural modeling approach. Marketing Science, 19(1), 22-42.
    96. Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric Theory (3 ed.). New York: McGraw-Hill.
    97. Oliver, R. L. (1999). Whence customer loyalty? Journal of Marketing, 63(3), 33-44.
    98. Olsen, S. O. (2007). Repurchase loyalty: the role of involvement and satisfaction. Psychology & Marketing, 24(4), 315-341.
    99. Ono, H., & Zavodny, M. (2003). Gender and the Internet. Social Science Quarterly, 84(1), 111-121.
    100. Preece, J. (2001). Sociability and usability in online communities: determining and measuring success. Behavior & Information Technology, 20(5), 347-356.
    101. Qian, H., & Scott, C. R. (2007). Anonymity and self-disclosure on weblogs. Journal of Computer-Mediated Communication, 12, 1428-1451.
    102. Rafaeli, S. (1988). Interactivity from new media to communication. In R. P. Hawkins, J. Wiemann & S. Pingree (Eds.), Advancing Communication Science: Merging Mass and Interpersonal Processes (pp. 110-134). Beverly Hills, CA: Sage.
    103. Rodgers, S., & Harris, M. A. (2003). Gender and e-commerce: an exploratory study. Journal of Advertising Research, 43(3), 322-329.
    104. Rucci, A. J., Kirn, S. P., & Quinn, R. T. (1998). The employee-customer profit chain at SEARS. Harvard Business Review, 76(1), 83-97.
    105. Sambamurthy, V., & Chin, W. W. (1994). The effects of group attitudes toward GDSS designs on the decision-making performance of computer supported groups. Decision Sciences, 25(2), 215-242.
    106. Sanchez-Franco, M. J. (2006). Exploring the influence of gender on the web usage via partial least squares. Behaviour & Information Technology, 25(1), 19-36.
    107. Schumacher, P., & Morahan-Martin, J. (2001). Gender, Internet and computer attitudes and experiences. Computers in Human Behavior, 17, 95-110.
    108. Sexton, R. S., Johnson, R. A., & Hignite, M. A. (2002). Predicting Internet/e-commerce use. Internet Research, 12(5), 402-410.
    109. Shankar, V., Smith, A. K., & Rangaswamy, A. (2003). Customer satisfaction and loyalty in online and offline environments. International Journal of Research in Marketing, 20(2), 153-175.
    110. Sicilia, M., Ruiz, S., & Munuera, J. L. (2005). Effects of Interactivity in a web site. Journal of Advertising Research, 34(3), 31-45.
    111. Sifry, D. (2007). The State of the Live Web. State of the Blogosphere Retrieved May 2008, from http://www.sifry.com/alerts/archives/000493.html
    112. Smith, D., & Sivakumar, K. (2004). Flow and internet shopping behavior: a conceptual model and research propositions. Journal of Business Research, 57(10), 1199-1208.
    113. Steuer, J. (1992). Defining virtual reality: dimensions determining telepresence. Journal of Communication, 42(4), 73-93.
    114. Szuprowicz, B. O. (1996). Interactive Communications: New Technologies and Future Directions. SC: Computer Technology Research
    115. Tannen, D. (1990). Gender differences in topical coherence: creating involvement in best friends' talk. Discourse Processes, 13(1), 79-90.
    116. Teo, H.-H., Oh, L.-B., Liu, C., & Wei, K.-K. (2003). An Empirical Study of the Effects of Interactivity on Web User Attitude. International Journal of Human-Computer Studies, 58, 281-305.
    117. Torkzadeh, G., & Dhillon, G. (2002). Measuring factors that influence the success of internet commerce. Information Systems Research, 13(2), 187-204.
    118. Torkzadeh, G., & Dwyer, D. J. (1994). A path analytical study of determinants of information system usage. Omega, 22(4), 339-348.
    119. Trammell, K. D., & Keshelashvili, A. (2005). Examining the new influencers: a self-presentation study of a-list blogs. JOURNALISM & MASS COMMUNICATION QUARTERLY, 82(4), 968-982.
    120. Trevino, L. K., & Webster, J. (1992). Flow in computer-mediated communications. Communication Research, 19(5), 539-573.
    121. Venkatesh, V., & Morris, M. G. (2000). Why don't men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS Quarterly, 24(1), 115-139.
    122. Webopedia. (2006). Web 2.0. Retrieved May 2008, from http://www.webopedia.com/TERM/W/Web_2_point_0.html
    123. Webopedia. (2007). blog. Retrieved March 2008, from http://www.webopedia.com/TERM/b/blog.html
    124. Weiser, E. B. (2000). Gender differences in Internet use patterns and Internet application preferences: a two-sample comparison. CyberPsychology and Behavior, 3(2), 167-178.
    125. Wikipedia. (2008). Blogosphere. Retrieved May 2008, from http://en.wikipedia.org/wiki/Blogosphere
    126. Williams, F., Rice, R. E., & Rogers, E. M. (1989). Research Methods and the New Media. New York: The Free Press.
    127. Wold, H., & Joreskog., K. (1982). Systems under Indirect Observation: Causality, Structure, Prediction. Amsterdam: North-Holland.
    128. Wolters, f. K. (1989). A PATT study among 10 to 12-year old students in the Netherlands [Electronic Version]. Journal of Technology Education, 1. Retrieved May 2008 from http://scholar.lib.vt.edu/ejournals/JTE/v1n1/falco.jte-v1n1.html.
    129. Wu, G. (1999). Perceived interactivity and attitude toward website. Paper presented at the Proceedings of the American Academy of Advertising, Gainesville: University of Florida.
    130. Wu, J.-J., & Chang, Y.-S. (2005). Towards understanding members' interactivity, trust, and flow in online travel community. Industrial Management & Data Systems, 105(7), 937-954.
    131. Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996). The behavioral consequences of service quality. Journal of Marketing, 60(2), 31-46.
    132. Zhang, P., & Dran, G. M. v. (2000). Satisfiers and dissatisfiers: a two-factor model for website design and evaluation. Journal of the American Society for Information Science, 51(14), 1253-1268.

    無法下載圖示 全文公開日期 2011/07/25 (校內網路)
    全文公開日期 本全文未授權公開 (校外網路)
    全文公開日期 本全文未授權公開 (國家圖書館:臺灣博碩士論文系統)
    QR CODE