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姓名 李恩齊(Eh-chi Li)  查詢紙本館藏   畢業系所 資訊管理學系
論文名稱 探討微網誌使用者持續使用意圖之研究
(Exploring Microbloggers' Continuance Intention)
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檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   至系統瀏覽論文 ( 永不開放)
摘要(中) 隨著Web2.0概念發展,新的傳播管道讓資訊傳遞更加多元與便利,世界各地越來越多Web 2.0概念的服務相繼出現,而在2008年美國總統歐巴馬利用微網誌Twitter打贏總統大選之後,微網誌熱潮更在全球不斷發燒。2009年微網誌熱潮幾乎達到頂峰,包括Twitter、Plurk(噗浪)與Buboo等微網誌掀起一股席捲全球的浪潮,如果說部落格( Blog )是2005年網路應用的新顯學,那麼2009年的網路殺手級應用,非微網誌莫屬。
包括微網誌在內的社交網路服務,其成功與否取決於使用者的停留與持續參與,本研究將探討影響使用者持續使用微網誌服務的因素。本研究使用模式整合了資訊接受模式與資訊系統持續使用模式,並結合微網誌特色之構面—「知覺互動性」與「知覺有趣性」,希望藉由問卷的發送及統計分析方法,找出這些因素與微網誌使用者持續使用意圖之間的關係。
本研究進行相關統計分析以及結構方程模式驗證,研究結果顯示「資訊品質」與「確認程度」對於「知覺有用性」有正向且顯著影響,「知覺有用性」與「知覺互動性」對於「使用者滿意度」有正向且顯著影響,最後「使用者滿意度」可用以強烈預測「持續使用意圖」。
摘要(英) With the development of web2.0, emerging communication channels made information delivery more diverse and convenient. There are an increasing number of online services based on web2.0 all over the world. Microblogs, which have been one of the most popular web applications, are well known for the assisting Barack Obama to win the U.S. president election in 2008 through the use of Twitter. Microblogging fever had been by no means ever hotter in 2009, microblogs such as Twitter, Plurk and Buboo are globally embraced. If bolgs were the most prominent internet applications back in 2005, then microblogs are definitely the killer application of internet use in 2009.
Social network services including microblogs are said to achieve success only if users are continually using the service. This study explores the reason why people continued using microblogs. The framework of this study integrates the model from both information acceptance studies and IS continuance studies, combined with several factors featuring microblogs that makes the research model fits into the subject. Through questionnaire survey and statistical analysis, our study tries to figure out how microbloggers’ continuance intention is formed.
The study has built a research model based on literatures. We further analyze the data through statistical software to confirm hypothesizes, and the result shows that:
1. “Perceived Usefulness” will be positively influenced by “Information Quality” and “Confirmation”.
2. “User satisfaction” will be positively influenced by “Perceived Usefulness” and “Perceived Interactivity”.
3. “Continuance intention” will be positively influenced by “User satisfaction”.
關鍵字(中) ★ 持續使用意圖
★ 微網誌
★ 期望確認理論
關鍵字(英) ★ IS continuance
★ Microblog
★ Expectation-Confirmation Theory ( ECT )
論文目次 論文摘要 i
Abstract ii
致謝 iii
圖目錄 iv
表目錄 v
第一章 緒論 1
第一節 研究背景 1
第二節 研究動機 3
第三節 研究目的 5
第四節 研究流程與架構 6
第二章 文獻探討 9
第一節 Web 2.0與部落格 9
第二節 微網誌的定義與發展 11
第三節 資訊接受模式 20
第四節 資訊系統持續使用模式 24
第五節 微網誌之互動性與有趣性 26
第三章 研究方法 30
第一節 研究概念架構 30
第二節 研究假設 31
第三節 變數的定義與衡量 36
第四節 研究設計 44
第四章 資料分析 46
第一節 問卷內容效度檢測 46
第二節 研究前測分析 46
第三節 樣本結構分析 49
第四節 結構方程模式分析 65
第五章 研究結論與建議 71
第一節 研究結論 71
第二節 研究貢獻 76
第三節 研究限制 78
第四節 後續研究建議 79
參考文獻 81
附件 本研究正式問卷 88
參考文獻 一、 中文文獻
〔1〕 林建煌(2007)。消費者行為概論。台北:華泰文化。
〔2〕 翁秀琪(1993)。大眾傳播理論與實證。台北:三民書局。
〔3〕 蕭文龍(2007)。多變量分析最佳入門實用書SPSS + LISREL (SEM)。台北:碁峰資訊股份有限公司。
二、 英文文獻
〔1〕 Andrews, J. C., & Shimp, T. A. (1990). Effects of involvement argument strength, and source characteristics on central and peripheral processing of advertising. Psychology and Marketing, 7(3), 195-214.
〔2〕 Bagozzi, R. P. (2000). On the concept of intentional social action in consumer behavior. Journal of Consumer Research, 27(3), 388-396.
〔3〕 Bagozzi, R. P., Dholakia, U. M., & Pearo, L. R. K. (2007). Antecedents and consequences of online social interactions. Media Psychology, 9(1), 77-114.
〔4〕 Barnett, L. A. (1990). Playfulness: Definition, Design, and Measurement. Play and Culture, 3, 319-336.
〔5〕 Barua, A., Chellappa, R. and Whinston, A. B. (1995). Creating a Collaboratory in Cyberspace: Theoretical Foundation and an Implementation. Journal of Organizational Computing, 5(4), 417-442.
〔6〕 Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351-370.
〔7〕 Boyd, M., Huang, S. M., Jiang, J. J., & Klein, G. (2007). Discrepancies between desired and perceived measures of performance of IS professionals: Views of the IS professionals themselves and the users. Information and management, 44(2), 188-195.
〔8〕 Burgess, A. (2010). Twitter: It's not for birds. Air Conditioning, Heating & Refrigeration News, 239(11), 25.
〔9〕 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.
〔10〕 Conway, J. C., & Rubin, A. M. (1991). Psychological predictors of television viewing motivation. Communication Research, 18(4), 443-463.
〔11〕 Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
〔12〕 Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003.
〔13〕 Davy, C. (2006). Recipients: The key to information transfer. Knowledge Management Research & Practice, 4, 17-25.
〔14〕 Dholakia, R. R., & Sternthal, B. (1977). Highly credible sources - persuasive facilitators or persuasive liabilities. Journal of Consumer Research, 3(4), 223-232.
〔15〕 Finnie, S. (2009). The business sense of twitter. Computerworld, 43(30), 40.
〔16〕 Flanagin, A. J., & Metzger, M. J. (2001). Internet use in the contemporary media environment. Human Communication Research, 27(1), 153-181.
〔17〕 Grewal, D., Gotlieb, J., & Marmorstein, H. (1994). The moderating effects of message framing and source credibility on the price-perceived risk relationship. Journal of Consumer Research, 21(1), 145-153.
〔18〕 Hong, T. (2006). The influence of structural and message features on Web Site credibility. Journal of the American Society for Information Science and Technology, 57, 114-127.
〔19〕 Hsu, M. H., Chiu, C. M., & Ju, T. L. (2004). Determinants of continued use of the WWW: An integration of two theoretical models. Industrial Management & Data Systems, 104(8-9), 766-775.
〔20〕 Jasperson, J. S., Carter, P. E., & Zmud, R. W. (2005). A comprehensive conceptualization of post-adoptive behaviors associated with information technology enabled work systems. Mis Quarterly, 29(3), 525-557.
〔21〕 Java, A., Finin, T., Song, X., & Tseng, B. (2007). Why we twitter: Understanding microblogging usage and communities. Paper presented at the Proceedings of the Joint 9th WEBKDD and 1st SNA-KDD Workshop.
〔22〕 Jin, X., Cheung, C. M. K., Lee, M. K. O., & Chen, H. (2009). How to keep members using the information in a computer-supported social network. Computers in Human Behavior, 25(5), 1172-1181.
〔23〕 Kan, S. H., (2009). Analysis and implementation of citizen journalism base on web2.0 mass collaboration. National Centtral University Department of Information Management thesis
〔24〕 Katz, E. J. (1959). Mass communication research and the study of popular culture: An editorial note on a possible future for this journal. Studies in Public Communication, 2: 1-6.
〔25〕 Katz, E., Blumler, J. G. and Gurevitch, M. (1974). Utilization of mass communication by the Individual. The Uses of Mass Communication, 19-34, Beverly Hills, CA: Sage.
〔26〕 Ko, H., Cho, C., & Roberts, M. S. (2005). Internet uses and gratifications. Journal of Advertising, 34(2), 57-70.
〔27〕 Kollock, P. and Smith, M.A. (1999). Communities in Cyberspace, 3-25, NY: Routledge.
〔28〕 Lee, Y. W., Strong, D. M., Kahn, B. K., & Wang, R. Y. (2002). AIMQ: A methodology for information quality assessment. Information and Management, 40(2), 133-146.
〔29〕 Lieberman, N. J. (1997). Playfulness: its relationship to imagination and creativity. New York: Academic Press.
〔30〕 Limayem, M., & Cheung, C. M. K. (2008). Understanding information systems continuance: The case of internet-based learning technologies. Information & Management, 45(4), 227-232.
〔31〕 Limayem, M., Hirt, S. G., & Cheung, C. M. K. (2007). How habit limits the predictive power of intention: The case of information systems continuance. MIS Quarterly, 31(4), 705-737.
〔32〕 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.
〔33〕 Lin, H. (2008). Antecedents of virtual community satisfaction and loyalty: An empirical test of competing theories. Cyberpsychology & Behavior, 11(2), 138-144.
〔34〕 McFedries, P. (2007). Technically speaking All A-Twitter. IEEE Spectrum, 44(10), 84.
〔35〕 McKinney, V., Yoon, K., & Zahedi, F. (2002). The measurement of web-customer satisfaction: An expectation and disconfirmation approach. Information Systems Research, 13(3), 296.
〔36〕 McMillan, S. J. (2000). The Microscope and the Moving Target: the Challenge of Applying Content Analysis to the World Wide Web. Journalism and Mass Communication Quarterly, Vol.77, No.1, 80-98.
〔37〕 Moon, J., & Kim, Y. (2001). Extending the TAM for a world-wide-web context. Information & Management, 38(4), 217.
〔38〕 Oliver, R. L. (1980). A cognitive model for the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460-469.
〔39〕 Oliver, R. L. (1993). Cognitive, Affective, and Attribute bases of the Satisfaction Response. Journal of Consumer Research, 20(3), 418-430.
〔40〕 Patterson, P. G., Johnson, L. W. and Spreng, R. A. (1997). Modeling the Determinants of Customer Satisfaction for Business-to-Business Professional Services. Journal of the Academy of Marketing Science, 25(1), 4-17.
〔41〕 Petty, R. E., Cacioppo, J. T., & Schumann, D. (1983). Central and peripheral routes to advertising effectiveness: The moderating role of involvement. Journal of Consumer Research, 10(2), 135-146.
〔42〕 Pratt, M. (2009). Cashing in on TWEETS. Computerworld, 43(29), 23.
〔43〕 Pritchard, S. (2010). A tip for business on social media: Listen, then participate. Financial Times, 26.
〔44〕 Rieh, S. Y. (2002). Judgment of information quality and cognitive authority in the web. Journal of the American Society for Information Science and Technology, 53(2), 145-161.
〔45〕 Rieh, S. Y., & Belkin, N. J. (1998). Understanding judgment of information quality and cognitive authority in the WWW. Proceedings of the Asis Annual Meeting, 35, 279-289.
〔46〕 Selnow, G. W. (1988). Using Interactive Computer to Communicate Scientific Information. American Behavioral Scientist, 32, 124-135.
〔47〕 Sillence, E., & Briggs, P. (2007). Please advise: Using the internet for health and financial advice. Computers in Human Behavior, 23(1), 727-748.
〔48〕 Spreng, R. A., & Chiou, J. (2002). A cross-cultural assessment of the satisfaction formation process. European Journal of Marketing, 36(7/8), 829.
〔49〕 Spreng, R. A., MacKenzine, S. B. and Olshavsky, R. W. (1996). A Reexamination of the Determinants of Consumer Satisfaction. Journal of Marketing, 60, 15-32.
〔50〕 Stafford, T. E., Stafford, M. R., & Schkade, L. L. (2004). Determining uses and gratifications for the internet. Decision Sciences, 35(2), 259-288.
〔51〕 Susssman, S. W., & Siegal, W. S. (2003). Informational influence in organizations: An integrated approach to knowledge adoption. Information Systems Research, 14(1), 47-65.
〔52〕 Swan, J. E. and Trawick, I. F. (1981). Disconfirmation of Expectations and Satisfaction with a Retail Service. Journal of Retailing, 57(4), 49-67.
〔53〕 Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144-176.
〔54〕 Tiwana, A., & Bush, A. A. (2005). Continuance in expertise-sharing networks: A social perspective. IEEE Transactions on Engineering Management, 52(1), 85-101.
〔55〕 Trammell, K. D., Tarkowski, A., & Hofmokl, J. (2004). Rzeczpospolita Blogów: Identifying the Uses & Gratifications of Polish Bloggers. Association of Internet Researchers annual conference, University of Sussex, England.
〔56〕 Webster, J., Trevino, K. L. and Ryan, L. (1993). The Dimensionality and Correlates of Flow in Human-Computer Interactions. Computers in Human Behavior, 9(4), 411-426.
〔57〕 Xu, Y., Tan, C. Y., & Yang, L. (2006). Who will you ask? An empirical study of interpersonal task information seeking. Journal of the American Society for Information Science and Technology, 52, 1666-1677. 
三、 網路資料
〔1〕 eMarketer. Newspaper Join in Twitter Conversation. Retrieved December 29, 2009, from http://www.emarketer.com/Article.aspx?R=1007442
〔2〕 Lenin. Microblogging From Your Blog. Retrieved July 30, 2008, from http://cutewriting.blogspot.com/2008/07/microblogging-from-within-your-blog.html
〔3〕 Lenhart, A., Purcell, K., Smith, A., & Zickuhr, K., Pew Internet & American Life Project. Retrieved February 3, 2010, from http://pewresearch.org/pubs/1484/social-media-mobile-internet-use-teens-millennials-fewer-blog
〔4〕 Wikipedia. Blog. Retrieved June 22, 2010, from
http://en.wikipedia.org/wiki/Blog
〔5〕 Wikipedia. Microblog. Retrieved July 6, 2010, from http://en.wikipedia.org/wiki/Microblog
〔6〕 創市際市場研究顧問。ARO觀察: 微網誌使用狀況。民98年11月20日,取自http://news.ixresearch.com/?p=891
〔7〕 謝子樵。台灣網友部落格使用行為分析。民98年5月27日,取自http://www.bnext.com.tw/article/view/cid/0/id/11833
〔8〕 張金安。Twitter使用者忠誠度低 持續率僅四成。民98年4月30日,取自http://mag.udn.com/mag/digital/storypage.jsp?f_ART_ID=192086
〔9〕 劉威麟。Plurk 炫風吹,比Twitter更簡單易懂的微型碎碎唸。民97年6月3日,取自http://mr6.cc/?p=1812
〔10〕 揚博涵。部落格與微網誌之我見。民98年5月21日,取自http://rong3827.blogspot.com/2009/05/blog-post_21.html
〔11〕 胡泳。從內觀到分享和發現。民99年1月18日,取自http://magazines.sina.com.tw/magazine/article/4369.html
指導教授 粟四維(Wesley Shu) 審核日期 2010-7-14
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