Skip navigation

DSpace

機構典藏 DSpace 系統致力於保存各式數位資料(如:文字、圖片、PDF)並使其易於取用。

點此認識 DSpace
DSpace logo
English
中文
  • 瀏覽論文
    • 校院系所
    • 出版年
    • 作者
    • 標題
    • 關鍵字
    • 指導教授
  • 搜尋 TDR
  • 授權 Q&A
    • 我的頁面
    • 接受 E-mail 通知
    • 編輯個人資料
  1. NTU Theses and Dissertations Repository
  2. 管理學院
  3. 資訊管理學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/10162
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor翁崇雄
dc.contributor.authorLing-You Syuen
dc.contributor.author許綾祐zh_TW
dc.date.accessioned2021-05-20T21:06:31Z-
dc.date.available2016-07-18
dc.date.available2021-05-20T21:06:31Z-
dc.date.copyright2011-07-18
dc.date.issued2011
dc.date.submitted2011-06-29
dc.identifier.citation中文部分
1. 曾則翔. (2008). Web 2.0社群網站滿意度之研究. 國立台灣大學資訊管理所未出版碩士論文.
2. 黃文楷. (2007). 探討Blog使用者持續採用行為之研究—以期望確認理論為基礎. 國立高雄第一科技大學資訊管理研究所未出版碩士論文.
3. 蕭文龍. (2010). 部落客持續使用部落格之研究: 以整合期望確認、科技接受模式和個人因素觀點探討. 電子商務學報, 12(2), 221-249.
4. 鄭緯筌. (2010). 虛擬大國誕生,第三波淘金潮在Facabook. 數位時代第188期.
5. 何宛芳. (2010). 輕度互動,重塑人際生活圈. 數位時代第190期.
6. 創市際市場研究顧問電子報. (2010). ARO觀察: 2009年社群網站使用狀況. http://news.ixresearch.com/?p=1211 . (瀏覽日期: 2010/12/16)
7. 創市際市場研究顧問電子報. (2010). ARO觀察: 從社群經營到口碑行銷: 品牌經營者如何操作Facebook. http://news.ixresearch.com/?p=2664 . (瀏覽日期: 2010/12/16)
英文部分
1. Ahuja, M. K., & Galvin, J. E. (2003). Socialization in Virtual Groups. Journal of Management, 29(2), 161-185.
2. Anderson, James C. & David W. Gerbing. (1988). Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach. Psychological Bulletin, 103, 411-423.
3. Algesheimer, R., Dholakia, U. M., & Herrmann, A. (2005). The Social Influence of Brand Community : Evidence from European Car Clubs. Journal of Marketing, 69(July), 19-34.
4. Ariely, D. (2003). Controlling the Information Flow: Effects on Consumers’ Decision Making and Preferences. The Journal of Consumer Research, 27(2), 233-248.
5. Bagozzi, R. P., & Yi, Y. (1988). On the Evaluation of Structural Equation Models. Journal of the Academy of Marketing Science, 16(1), 74-79.
6. Bagozzi, R. P., & Dholakia, U. M. (2002). Intentional Social Action in Virtual Communities. Journal of Interactive Marketing, 16(2), 2-21.
7. Balasubramanian, S., & Mahajan, V. (2001). The Economic Leverage of the Virtual Community. International Journal of Electronic Commerce, 5(3), 103-138.
8. Barua, A., Chellappa, R., & Whinston, A. (1995). Creating a collaboratory in cyberspace: Theoretical foundation and an implementation. Journal of Organizational Computing and Electronic Commerce, 5(4), 417-442.
9. Bem, D. J. (1972). Self-Perception Theory. Advances in Experimental Social Psychology, (pp. 1-62).
10. Bhattacherjee, A. (2001). Understanding Information Systems Continuance: An Expection-Confirmation Model. MIS Quarterly, 25(3), 351-370.
11. Blanchard, A. L., & Markus, M. L. (2007). Technology and Community Behavior in Online Environments. Proceedings of the Third Communities and Technologies Conference (pp. 323-350).
12. Boyd, D. M., & Ellison, N. B. (2008). Social Network Sites: Definition, History, and Scholarship. Journal of Computer-Mediated Communication, 13(1), 210-230.
13. Boyd, Danah, & Heer, J. (2006). Profiles as Conversation: Networked identity performance on Friendster. Proceedings of the 39th Hawaii International Conference on System Sciences.
14. Browne, M.W., & Cudeck, R. (1993). Alternative Ways of Assessing Model Fit. In K. A. Bollen & J. S. Long (Eds.), Testing Structural Equation Models, 136–162. Newbury Park, CA: Sage.
15. Carver, C. (1999). Building a Virtual Community for a Tele-Learning Environment. IEEE Communications Magazine, 37(3), 114-118.
16. Chen, I. Y. L. (2007). The Factors Influencing Members’ Continuance Intentions in Professional Virtual Communities — A Longitudinal Study. Journal of Information Science, 33(4), 451-467.
17. Childers, T. L., Carr, C. L., Peck, J., & Carson, S. (2001). Hedonic and Utilitarian Motivations for Online Retail Shopping Behavior. Journal of Retailing, 77(July), 511-535.
18. Cyle, J. R., & Thorson, E. (2001). The Effects of Progressive Levels of Interactivity and Vividness in Web Marketing Sites. Journal of Advertising, 30(3), 65-77.
19. Crego, E. T., Jr., & Schiffrin, P. D. (1995). Customer-Centered Reengineering: Remapping for Total Customer Value, Irwin, Burr Ridge, IL.
20. Davis, F. D., Bagozzi, Richard P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982-1003.
21. Dholakia, U. M., Bagozzi, Richatd 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.
22. Doll, W. J., Xia, W., & Torkzadeh, G. (1994). A Confirmatory Factor Analysis of The End-User Computing Satisfaction Instrument. MIS Quarterly, 18(4), 453-461.
23. Donath, J., & Boyd, D. (2004). Public Displays of Connection. BT Technology Journal, 22(4), 71-82.
24. Edvardsson, B., Larson, G., & Setterlind, S. (1997). Internal Service Quality and the Psychosocial Work Environment: An Empirical Analysis of Conceptual Interrelatedness. The Service Industries Journal, 17(2), 252-263.
25. 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.
26. Fernback, J., & Thompson, B. (1995). Virtual Communities: Abort, Retry, Failure? Computer Mediated Communication and the American Collectivity. Retrieved from http://www.well.com/user/hlr/texts/VCcivil.html in 2010/12/03
27. Festinger, L. A. (1957). A Theory of Cognitive Dissonance. Row and Peterson, Evanston, IL.
28. Fornell, C., & Larcker, D. (1981). Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39-50.
29. Froehle, C. M. (2006). Service Personnel , Technology , and Their Interaction in Influencing Customer Satisfaction. Decision Sciences Institute, 37(1), 5-38.
30. Gefen, D., Straub, D. W., & Boudreau, M. C. (2000). Structural Equation Modeling and Regression: Guideline for Research Practice, Communications of the Association for Information Systems, 4, 1-70.
31. Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1992). Multivariate Data Analysis (3rd ed.). New York: Macmillan.
32. Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis (5th ed.). Boston, MA: Pearson Education Inc.
33. Hair Jr., J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate Data Analysis 6th . Prentice-Hall.
34. Hayduk, L. A. (1987). Structural Equation Modeling with LISREL: Essentials and Advances, Baltimore:Johns Hopkins.
35. Hoffman, D. L., & Novak, T. P. (1996). Marketing in Hypermedia Computer-Mediated Environments: Conceptual Foundations. Journal of Marketing, 60(3), 50-68.
36. Hong, S.-J., Thong, J. Y. L., & Tam, K. Y. (2006). Understanding Continued Information Technology Usage Behavior: A Comparison of Three Models in the Context of Mobile Internet. Decision Support Systems, 42(3), 1819-1834.
37. Hu, T., & Kettinger, W. J. (2008). Why People Continue to Use Social Networking Services : Developing a Comprehensive Model. International Conference on Information Systems.
38. Jacks, T., & Salam, A. F. (2009). Computer-Mediated Friendship Networks. International Conference on Information Systems.
39. Jin, X.-L., Lee, M. K. O., & Cheung, C. M. K. (2009). Predicting Continuance in Online Communities: Model Development and Empirical Test. Behaviour & Information Technology, 29(4), 383-394.
40. Jones, Q. (1997). Virtual Communities, Virtual Settlements and Cyber-Archaeology: A Theoretical Outline. Journal of Computer-Mediated Communication, 3(3).
41. Karahanna, E., Straub, D. W., & Chervany, N. L. (1999). Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs. MIS Quarterly, 23(2), 183-213.
42. Kaye, B. K., & Johnson, T. J. (2004). A Web for All Reasons: Uses and Gratifications of Internet Components for Political Information. Telematics and Informatics, 21(3), 197-223.
43. Kettles, D., & David, J. S. (2008). The Business Value of Social Network Technologies : A Framework for Identifying Opportunities for Business Value and an Emerging Research Program. Proceedings of the Fourteenth Americas Conference on Information System (pp. 1-9).
44. Ko, H., Cho, C.-H., & Roberts, M. S. (2005). Internet Uses and Gratifications: A Structural Equation Model of Interactive Advertising. Journal of Advertising, 34(2), 57-70.
45. Koh, J., & Kim, Y. G. (2004). Knowledge Sharing in Virtual Communities: An E-Business Perspective. Expert Systems with Applications, 26(2), 155-166. Retrieved from http://linkinghub.elsevier.com/retrieve/pii/S0957417403001167 in 2010/12/16
46. Koh, J., & Kim, Y.-G. (2003). Sense of Virtual Community : Conceptual Framework and Empirical Validation. International Journal of Electronic Commerce, 8(2), 75-93.
47. Lee, F. S. L., Vogel, D., & Limayem, M. (2003). Virtual Community Informatics: A Review and Research Agenda. Journal of Information Technology Theory and Application, 5(1), 47-61.
48. 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.
49. Liu, H. (2008). Social Network Profiles as Taste Performances. Journal of Computer-Mediated Communication, 13(1), 252-275.
50. Liu, Y. (2003). Developing a Scale to Measure the Interactivity of Websites. Journal of Advertising Research, 43(3), 207-16.
51. Marsh, H.W. & D. Hocevar. (1985). Application of Confirmatory Factor Analysis to the Study of Self-concept: First and Higher Order Factor Models and Their Invariance Across Groups, Psychological Bulletin, 97(3), 562-582.
52. Massey, B. L., & Levy, M. R. (1999). `Interactive’ Online Journalism at English-Language Web Newspapers in Asia: A Dependency Theory Analysis. International Communication Gazette, 61(6), 523-538.
53. McMillan, S. J. (2000). Interactivity Is in the Eye of the Beholder: Function, Perception, Involvement, and Attitude Toward Web Site. Proceeding of the 2000 Conference of the American Academy of Advertisting (pp. 71-78).
54. McMillan, S. J., & Downes, E. J. (2000). Defining Interactivity: A Qualitative Identification of Key Dimensions. New Media & Society, 2(2), 157-179.
55. McMillan, S. J., & Hwang, J.-S. (2002). Measure of Perceived Interactivity: An Exploration of the Role of Direction of Communication, User Control, and Time in Shaping Perceptions of Interactivity. Journal of Advertising, 31(3), 29-41.
56. Mislove, A., Marcon, M., Gummadi, K. P., & Bhattacharjee, B. (2007). Measurement and Analysis of Online Social Networks.
57. Morris, M., & Ogan, C. (1996). The Internet as Mass Medium. Journal of Communication, 46(1), 39-50.
58. Newhagen, J. E., Cordes, J. W., & Levy, M. R. (1995). Nightly@nbc.comA: udience Scope and the Perception of Interactivity in Viewer Mail on the Internet. Journal of Communication, 45(3), 164-175.
59. 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.
60. Nunnally, J. C. (1978). Psychometric theory. NY: McGraw-Hill.
61. Oliver, R. L. (1980). A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions. Journal of Marketing, 17(4), 460-469.
62. Oliver, R. L. (1981). Measurement and Evaluation of Satisfaction Processes in Retail Settings. Journal of Retailing, 57(3), 28-48.
63. Oliver, R. L. (1993). Cognitive, Affective, and Attribute Bases of the Satisfaction Response. The Journal of Consumer Research, 20(3), 418-430.
64. Oliver, R. L., & Linda, G. (1981). Effect of Satisfaction and Its Antecedents on Consumer Preference and Intention. Advances in Consumer Research, 8, 88-93.
65. Parasuraman, A., Leonard L. Berry, & Valarie A. Zeithaml. (1988). SERVQUAL: A Multiple-Item Scale for Measuring Consumer Perceptions of Service Quality. Journal of Retailing, 64, 12-40.
66. Peltier, J. W., Drago, W., & Schibrowsky, J. a. (2003). Virtual Communities and the Assessment of Online Marketing Education. Journal of Marketing Education, 25(3), 260-276.
67. Plant, R. (2004). Online Communities. Technology in Society, 26(1), 51-65.
68. Rafaeli, S. (1988). Interactivity: From New Media to Communication. Advertising Communication Science: Merging Mass and Interpersonal Process (pp. 110-134). Newbury Park, CA: Sage.
69. Rafaeli, S., & Sudweeks, F. (1997). Networked Interactivity. Journal of Computer Mediated Communication, 2(4).
70. Rheigingold, H. (1993). The Virtual Community: Homesteading on the Electronic Frontier. New York: Addison-Wesley.
71. Rosen, C. (2007). Virtual Friendship and the New Narcissism. The New Atlantis, (2), 15-31.
72. Shrum, L. J., & Liu, Y. (2002). What is Interactivity and is it Always such A Good Thing ? Implications of Definition, Person, and Situation for the Influence of Interactivity on Advertising Effectiveness. Journal of Advertising, 31(4), 53-64.
73. Slack, S. (2007). Social Computing: Maximizing the Power of Web 2.
74. Song, J. H., & Zinkhan, G. M. (2008). Determinants of Perceived Web Site Interactivity. Journal of Marketing, 72(2), 99-113.
75. Steuer, J. (1992). Defining Virtual Reality: Dimensions Determining Telepresence. Journal of Communication, 1(1), 73-93.
76. Thelwall, M. (2008). Social Networks, Gender, and Friending: An Analysis of MySpace Member Profiles. Journal of the American Society for Information Science and Technology, 59(8), 1321-1330.
77. Valck, K. D., Langerak, F., Verhoef, P. C., & Verlegh, P. W. J. (2007). Satisfaction with Virtual Communities of Interest: Effect on Members’ Visit Frequency. British Journal of Management, 18(3), 241-256.
78. Vroom, V. C. (1964). Work and motivation. New York: John Wiley & Sons.
79. Walther, J. B. (1992). Interpersonal Effects in Computer-Mediated Interaction: A Relational Perspective. Communication Research, 19(1), 52-90.
80. Walther, J. B. (1996). Computer-Mediated Communication: Impersonal, Interpersonal, and Hyperpersonal Interaction. Communication Research, 23(1), 3-43.
81. Westbrook, R. A., & Reilly, M. D. (1983). Value-Percept Disparity: An Alternative to the Disconfirmation of Expectation Theory of Consumer Satisfaction. Advances in Consumer Research, 10, 256-261.
82. Wu, G. (1999). Perceived Interactivity and Attitude Toward Web Sites. In Charles R. Taylor (Eds.), Proceeding of the 1999 Conference of the American Academy of Advertising (pp. 254-62).
83. Wu, G. (2006). Conceptualizing and Measuring the Perceived Interactivity of Websites. Journal of Current Issues and Research in Advertising, 28(1), 87-104.
84. Yi, Y. (1990). A Critical Review of Consumer Satisfaction. Review of Marketing (4), 68-123.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/10162-
dc.description.abstract近年來,社群網站興起並成長快速,有許多經營者與企業紛紛投入這塊市場,在競爭如此激烈之市場下,如何成功吸引使用者之目光成為一大要點,也因此探討使用者何以持續使用社群網站成為極為重要的議題。
本研究綜合過去學者提出之論點,以期望確認理論之概念作為探討持續使用意圖之模型基礎,結合社群網站之特性—互動性—作為使用者持續使用之激勵因子,建構出本研究之研究模型。然而,過去學者對互動性之定義繁多且分類繁雜,因此,本研究進一步將互動性之分類進行彙整,並找出與互動性分類相對應之衡量要素—認知網站互動性及認知社群互動性—來代表互動性整體。
本研究使用SEM進行研究模型之驗證。實證結果發現,滿意度正向影響使用者的持續使用意圖,而滿意度則被確認以及認知網站互動性所影響;另外,確認亦會正向影響認知網站互動性與認知社群互動性。藉由研究結果,希冀提供社群網站經營者及企業擬定經營策略之參考。
zh_TW
dc.description.abstractRecently, social network sites have gained significant popularity. However, the full values and potential of social network sites cannot be realized without users’ ongoing participation. Thus, examining why users continue participating in social network sites becomes important.
After briefly summarizing existing scholarship concerning social network sites, we construct a research model by integrating Expected-Confirmation Theory and interactivity factors. Especially, we characterize interactivity factors as perceived web sites interactivity and perceived community interactivity.
We use the SEM method to analyze our research model. The results reveal that user’s continuance intention of participation in social network sites is determined by satisfaction. Satisfaction is influenced by user’s confirmation level and perceived web sites interactivity. Perceived web sites interactivity and perceived community interactivity are influenced by user’s confirmation level. The findings of this study contribute not only to theory building in social network sites continuance but also inform social network sites’ moderators in their effort to develop strategies for retaining their users.
en
dc.description.provenanceMade available in DSpace on 2021-05-20T21:06:31Z (GMT). No. of bitstreams: 1
ntu-100-R98725048-1.pdf: 4273095 bytes, checksum: 487623afb8f3af2ebe742fb218ee0603 (MD5)
Previous issue date: 2011
en
dc.description.tableofcontents致謝 i
論文摘要 ii
THESIS ABSTRACT iii
目錄 iv
表目錄 vi
圖目錄 vii
第一章 緒論 1
第一節 研究背景 1
第二節 研究動機 1
第三節 研究目的 3
第二章 文獻探討 4
第一節 社群網站 4
2-1-1 虛擬社群定義 4
2-1-2 社群網站定義 5
2-1-3 社群網站特性 7
第二節 互動性 8
2-2-1 認知網站互動性 10
2-2-2 認知社群互動性 13
第三節 期望確認理論 15
第三章 研究方法 19
第一節 互動性結構 19
第二節 研究假說 22
3-2-1 確認程度對認知網站互動性的相關假說 23
3-2-2 確認程度對認知社群互動性的相關假說 24
3-2-3 確認程度對使用者滿意度的相關假說 24
3-2-4 認知網站互動性對使用者滿意度的相關假說 25
3-2-5 認知社群互動性對使用者滿意度的相關假說 26
3-2-6 使用者滿意度對持續使用意圖的相關假說 26
第三節 研究模型 27
第四節 變項定義與衡量 28
3-4-1 確認 28
3-4-2 認知社群互動性 29
3-4-3 認知網站互動性 30
3-4-4 滿意度 31
3-4-5 持續使用意圖 32
第五節 問卷設計 32
第六節 研究對象與問卷進行方式 33
第七節 資料分析方法 34
第四章 實證結果與分析 35
第一節 人口統計變數分析 35
4-1-1 受訪者之個人基本資料分析 35
4-1-2 受訪者的社群網站使用經驗分析 36
第二節 問卷精簡過程 38
4-2-1 信度分析 38
4-2-2 因素分析 41
第三節 測量模式分析 44
4-3-1 信度分析 44
4-3-2 效度分析 44
4-3-3 模型適合度分析 48
第四節 結構模型分析 50
4-4-1 配適度指標之評鑑 50
4-4-2 假設驗證 51
第五章 結論與建議 54
第一節 研究結論與探討 54
第二節 學術上之貢獻 55
第三節 實務上之貢獻 56
第四節 研究限制 57
第五節 後續研究建議 58
參考文獻 59
附錄一、問卷 68
dc.language.isozh-TW
dc.title探討社群網站使用者持續使用之研究—整合期望確認理論與互動性zh_TW
dc.titleAn Empirical Study of Continuing Usage in Social Network Context: An Integrated Model of ECT and Interactivity Factorsen
dc.typeThesis
dc.date.schoolyear99-2
dc.description.degree碩士
dc.contributor.oralexamcommittee汪志堅,黃恆獎
dc.subject.keyword社群網站,互動性,認知網站互動性,認知社群互動性,期望確認理論,zh_TW
dc.subject.keywordsocial network sites,interactivity,perceived web sites interactivity,perceived community interactivity,Expected-Confirmation Theory,en
dc.relation.page73
dc.rights.note同意授權(全球公開)
dc.date.accepted2011-06-29
dc.contributor.author-college管理學院zh_TW
dc.contributor.author-dept資訊管理學研究所zh_TW
顯示於系所單位:資訊管理學系

文件中的檔案:
檔案 大小格式 
ntu-100-1.pdf4.17 MBAdobe PDF檢視/開啟
顯示文件簡單紀錄


系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。

社群連結
聯絡資訊
10617臺北市大安區羅斯福路四段1號
No.1 Sec.4, Roosevelt Rd., Taipei, Taiwan, R.O.C. 106
Tel: (02)33662353
Email: ntuetds@ntu.edu.tw
意見箱
相關連結
館藏目錄
國內圖書館整合查詢 MetaCat
臺大學術典藏 NTU Scholars
臺大圖書館數位典藏館
本站聲明
© NTU Library All Rights Reserved