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  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/123456789/57592
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DC 欄位值語言
dc.contributor.advisor許瑋元(Carol Hsu)
dc.contributor.authorYi-Hsian Leeen
dc.contributor.author李奕宣zh_TW
dc.date.accessioned2021-06-16T06:53:04Z-
dc.date.available2014-08-01
dc.date.copyright2014-08-01
dc.date.issued2013
dc.date.submitted2014-07-22
dc.identifier.citation參考資料
Abdi, Herv’e. (2003). Partial Least Squares (PLS) Regression. Encyclopedia of Social Sciences Research Methods, 792-795.
Ajzen, Icek, & Fishbein, Martin. (1975). Belief, attitude, intention and behavior: an introduction to theory and research.
Akers, Ronald L., & Lee, Gang. (1996). A longitudinal test of social learning theory: adolescent smoking. Journal of Drug Issues, 26(2), 317-343.
Al-Gahtani, Said S., & King, Malcolm. (1999). Attitudes, satisfaction and usage: Factors contributing to each in the acceptance of information technology. Behaviour & Information Technology, 18(4), 277-297.
Ankolekar, Anupriya, Szabo, Gabor, Luon, Yarun, Huberman, Bernardo A., & Wilkinson, Dennis. (2009). Friendlee: A Mobile Application for Your Social Life. MobileHCI.
Arhippainen, Leena, & Tahti, Marika. (2003). Empirical Evaluation of User Experience in Two Adaptive Mobile Application Prototypes. Proceedings of the 2nd International Conference on Mobile and Ubiquitous Multimedia 27-34.
Bagozzi, Richard P., & Phillips, Lynn W. (1982). Representing and Testing Organizational Theories: A Holistic Construal. Administrative Science Quarterly 27, 459-489.
Barkhuus, Louise, Chalmers, Matthew, Tennent, Paul, Hall, Malcolm, Bell, Marek, Sherwood, Scott, & Brown, Barry. (2005). Picking Pockets on the Lawn: The Development of Tactics and Strategies in a Mobile Game. Lecture Notes in Computer Science 3660, 358-374.
Bhattacherjee, Anol. (2001). Understanding information systems continuance: an expectation-confirmation model. MIS Quarterly, 25(3), 351-370
Bhattacherjee, Anol, & Premkumar, G. (2004). Understanding changes in belief and attitude toward information technology usage: a theoretical model and longitudinal test. MIS Quarterly, 28(2), 229-254
Bollen, Kenneth A., & Stine, Robert A. (1992). Bootstrapping Goodness-of-Fit Measures in Structural Equation Models. Sociological Methods 21, 205-229.
Chau, Patrick Y.K., & Hu, Paul J. (2002). Examining a model of information technology acceptance by individual professionals: an exploratory study. Journal of Management Information Systems, 18(4), 191-229.
Chin, Wynne W. (1998). Commentary: Issues and Opinion on Structural Equation Modeling. MIS quarterly, 22, vii-xvi.
Chin, Wynne W., & Gopal, Abhijit. (1995). Adoption intention in GSS: relative importance of beliefs. Data Base for Advances in Information Systems, 26(2-3), 42-64.
Davis, Fred D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340.
Davis, Fred D., Bagozzi, Richard P., & Warshaw, Paul R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982-1003.
Davis, Fred D., Bagozzi, Richard P., & Warshaw, Paul R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22(14), 1111-1132.
Deutsch, Morton, & Gerard, Harold B. (1955). A study of normative and informational social influences upon individual judgment. The Journal of Abnormal and Social Psychology, 51(3), 629-636.
Dowling, Grahame R., & Staelin, Richard. (1994). A model of perceived risk and intended risk-handling activity. Consumer Research, 21, 119-134.
Ermi, Laura, & Mayra, Frans. (2005). Player-Centred Game Design: Experiences in Using Scenario Study to Inform Mobile Game Design. the international journal of computer game research, 5(1).
Fornell, Claes, & Larcker, David F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 39-50.
Fornell, Claes, Lorange, Peter, & Roos, Johan. (1990). The Cooperative Venture Formation Process: A Latent Variable Structural Modeling Approach. Management Science, 36, 1246-1255.
Gartner. (2011). Gartner Says Worldwide Mobile Application Store Revenue Forecast to Surpass $15 Billion in 2011. http://www.gartner.com/it/page.jsp?id=1529214.
Gartner. (2012). Gartner Says Worldwide Smartphone Sales Soared in Fourth Quarter of 2011 With 47 Percent Growth. http://www.gartner.com/it/page.jsp?id=1924314.
Gong, Jun, & Tarasewich, Peter. (2004). Guidelines for handheld mobile device interface design. Proceedings of DSI, 3751-3756
Hair, Joseph F., Black, William C., Babin, Barry J., & Anderson, Rolph E. (1998). Multivariate data analysis. New Jersey: Prentice-Hall, Inc. .
Hayes, Ian S. (2002). Just Enough Wireless Computing: Prentice Hall.
Heijden, Hans van der. (2003). Factors influencing the usage of websites: the case of a generic portal in The Netherlands. Information & Management, 40(6), 541-549.
Hong, SeJoon, Thong, James Y.L., & Tam, Kar Yan. (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.
Hsu, Chin-Lung, & Lu, Hsi-Peng. (2004). Why do people play on-line games? An extended TAM with social influences and flow experience. Information & Management, 41(7), 853-868.
Hsu, Chin-Lung, & Lu, Hsi-Peng. (2007). Consumer behavior in online game communities: A motivational factor perspective. Computers in Human Behavior, 23(3), 1642–1659.
Hu, Paul J., Chau, Patrick Y. K., Sheng, Olivia R. Liu, & Tam, Kar Yan. (1999). Examining the technology acceptance model using physician acceptance of telemedicine technology. Journal of Management Information Systems, 16(2), 91-112.
IDC. (2012). Smartphone Market Hits All-Time Quarterly High Due To Seasonal Strength and Wider Variety of Offerings, According to IDC http://www.idc.com/getdoc.jsp?containerId=prUS23299912#.UNyJsW-siSo.
Kangas, Eeva, & Kinnunen, Timo. (2005). Applying user-centered design to mobile application development. Communications of the ACM, 48(7), 55-59
Karahanna, E., Straub, D.W., & Chervany, N.L. (1999). Information technology adoption across time: a cross-sectional comparison of pre-adoption and post-adoption belief. MIS Quarterly, 23(2), 183 - 213.
Kim, Sung S., & Malhotra, Naresh K. (2005). A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena. Management Science, 51(5), 741-755.
Kulviwat, Songpol, Bruner, Gordon C., & Al-Shuridah, Obaid. (2009). The role of social influence on adoption of high tech innovations: The moderating effect of public/private consumption. Journal of Business Research, 62(7), 706-712.
Lascu, Dana-Nicoleta, & Zinkhan, George. (1999). Consumer Conformity: Review and Applications for Marketing Theory and Practice. Journal of Marketing Theory and Practice, 7(3), 1-12.
Long, J. Scott. (1983). Covariance structure models: An introduction to LISREL (Vol. 34): SAGE Publications, Inc.
Lou, H., Luo, W., & Strong, D. (2000). Perceived critical mass effect on groupware acceptance. European Journal of Information Systems, 9(2), 91-103.
Malhotra, Yogesh, & Galletta, Dennis F. (1999). Extending the technology acceptance model to account for social influence: theoretical bases and empirical validation. Proceedings of the 32nd Hawaii International Conference on System Science.
Markus, M. Lynne. (1987). Toward a Critical Mass Theory of Interactive Media - Universal Access, Interdependence and Diffusion. Communication Research, 14(5), 491-511.
Morris, Michael G., & Wnkatesh, Viswanath. (2000). Age differences in technology adoption decisions: Implications for a changing workforce. Personnel Psychology, 53(2), 375-403.
Narayanan, Dushyanth, Flinn, Jason, & Satyanarayanan, M. (2000). Using history to improve mobile application adaptation. IEEE, 31-40
Nault, Barrie R., & Dexter, Albert S. (1994). Adoption, Transfers, and Incentives in a Franchise Network with Positive Externalities. Marketing Science, 13(4), 412-423.
Nunnally, J.C. (1978). Psychometric methods: New York: McGraw-Hill, Inc.
Oliver, Pamela, Marwell, Gerald, & Teixeira, Ruy. (1985). A Theory of the Critical Mass. I. Interdependence, Group Heterogeneity, and the Production of Collective Action. American Journal of Sociology, 91(3), 522-556.
Oliver, Richard L. (1980). A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions. Journal of Marketing Research, 17(4), 460-469.
Olson, Jerry C., & Dover, Philip. (1976). Effects of expectation creation and disconfirmation on belief elements of cognitive structure. Advances in Consumer Research, 3(1), 168-175.
Rogers, Everett M. (1995). Diffusion of innovations: New York,NY.
Schwabe, Gerhard, & Goth, Christoph. (2005). Mobile learning with a mobile game: design and motivational effects. Journal of Computer Assisted Learning, 21(3), 204-216.
Sharma, Chetan. (2010). Sizing up the Global Mobile Apps Market.
Slyke, Craig Van, Ilie, Virginia, Lou, Hao, & Stafford, Thomas. (2007). Perceived critical mass and the adoption of a communication technology. European Journal of Information Systems, 16, 270-283.
Stevens, James P. (1996). Applied multivariate statistics for the social sciences: Routledge.
Tarasewich, Peter. (2003). Designing mobile commerce applications. Communications of the ACM, 46(12), 57-60.
Taylor, Shirley, & Todd, Peter. (1995). Assessing IT usage: the role of prior experience. MIS Quarterly, 19(4), 561-570.
Venkatesh, Viswanath, & Davis, Fred D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204.
Venkatesh, Viswanath, Thong, James Y. L., Chan, Frank K. Y., Hu, Paul Jen-Hwa, & Brown, Susan A. (2011). Extending the two‐stage information systems continuance model: incorporating UTAUT predictors and the role of context. Information Systems, 21(6), 527-555.
Wasserman, Anthony I. (2010). Software Engineering Issues for Mobile Application Development http://works.bepress.com/tony_wasserman/4.
Webster, Jane, & Trevino, Linda Klebe. (1995). Rational and Social Theories as Complementary Explanations of Communication Media Choices: Two Policy-Capturing Studies. Academy of Management Journal, 38(6), 1544-1572.
林孟萱. (2005). 性別差異及生活型態對線上遊戲使用者消費行為之影響研究.
林娟娟, & 陳岱昀. (2008). 網站購買意願影響因素之探討. 管理與系統, 15(2), 209 -235.
林娟娟, & 蘇政泓. (2007). 以社群觀點研究線上遊戲使用者參與動機. 電子商務研究, 5, 31-54.
高美玲, & 葉美玲. (1999). 結構方程模式的應用-驗證性因素分析. 護理研究, 594-605.
許麗玲, 徐村和, & 吳憲政. (2009). 影響部落格使用意向的前置因素. 電子商務學報, 11(1), 1-28.
楊敏杰. (2006). 線上遊戲之消費者行為研究-態度、主觀規範、知覺行為控制、行為意圖與沉迷行為之應用.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/57592-
dc.description.abstract現今智慧型手機成為生活中不可或缺的一樣電子產品,而伴隨而來的,便是其應用程式的崛起。智慧型手機應用程式的市場廣大,帶來了極大的商機,對於開發商或開發者,如何吸引使用者使用及持續使用他們所開發的智慧型手機應用程式就是很重要的課題,也是獲利的來源。
不同於過去相關文獻多以智慧型手機應用程式的設計及技術層面進行討論分析,本研究以使用者的心理層面研究為目標,企圖探究使用者在使用過程中,信念、態度,以及社會影響力在智慧型手機遊戲的持續使用意圖上的影響。透過整理及分析此領域的文獻後,本研究探討使用者認知享受性及態度在使用過程中的改變,而社會影響力方面,則以認知關鍵多數為主要的因子,探討其在使用前及使用後的影響力,並探討此些因子對於最後持續使用意圖的影響。本研究以期望不確定理論為基礎,建構模型並設計兩階段問卷做實證研究,探討認知享受性、態度及認知關鍵多數對於智慧型手機遊戲的持續使用影響。
研究結果發現,認知享受性顯著影響智慧型手機遊戲的持續使用意圖,顯示對於使用者來說,遊戲的有趣性為主要影響使用的依據;雖然認知關鍵多數與智慧型遊戲的持續使用意圖無顯著相關,但研究結果發現認知關鍵多數顯著影響使用者使用前和使用後對智慧型手機遊戲的態度,顯示出社會影響力影響著使用者觀感和態度;而期望不確定理論中的不確定程度也顯著影響使用者的滿意度及使用後的認知享受性。綜合以上結果,智慧型手機遊戲開發商除了須考慮到遊戲的有趣外,也應該加強社群的連結性,讓使用者對其智慧型手機遊戲維持好觀感及增加未來持續使用的可能性。
zh_TW
dc.description.abstractToday, smartphone becomes important part of our life. With the rapid development of smartphone application market, developers and commercial organizations care more about the usage and continuous usage of smartphone application because both will affect the revenue stream and market share of their product.
This paper focuses on user’s cognitive level to study smartphone application. Based on expectancy disconfirmation theory, this paper presents a two-stage model with the factors of perceive enjoyment and attitude. Furthermore, considering the importance of social influence in the context of smartphone application usage, we also extend this theoretical model to include the factor of perceive critical mass to study the impact on the intention of continuous usage.
The results suggest that perceive enjoyment significantly reinforces the intention of continuous usage. Although perceive critical mass has no significant impact on the intention of continuous usage, we find that it reinforces the user’s attitude about the smartphone game application. Therefore, we argue that smartphone game’s developer should pay attention not only on adding interesting game elements, but also on the connection of the social factors to make smartphone game’s user feeling good and continuing using their products.
en
dc.description.provenanceMade available in DSpace on 2021-06-16T06:53:04Z (GMT). No. of bitstreams: 1
ntu-102-R00725021-1.pdf: 676624 bytes, checksum: 6fb6df8768bb78b55817d65abc2d1863 (MD5)
Previous issue date: 2013
en
dc.description.tableofcontents目錄
第一章 緒論 1
第一節 研究背景 1
第二節 研究動機、目的 3
第三節 研究架構 6
第二章 文獻探討 7
第一節 智慧型手機應用程式 7
第二節 採用(Adoption)與持續使用(Continued usage) 13
第三節 社會影響力(Social Influence) 16
第三章 研究架構與模型 21
第一節 認知享受性(Perceived enjoyment) 22
第二節 期望不確定理論(Expectancy disconfirmation theory) 23
第三節 社會影響力 25
第四章 研究方法 27
第一節 遊戲類智慧型手機應用程式的選擇 27
第二節 研究對象及資料收集程序 28
第三節 問卷設計 30
第五章 資料分析 33
第一節 人口統計變數分析 33
第二節 偏最小平方法分析 34
5.2.1 效度與信度檢定 35
5.2.2 研究假說與結構模型檢定 40
第三節 假說檢驗 45
第六章 結論與建議 48
第一節 研究貢獻 48
第二節 研究限制 50
第三節 未來研究建議 51
第七章 參考資料 52
附錄一:智慧型手機應用程式持續使用意圖之研究問卷 59
dc.language.isozh-TW
dc.subject智慧型手機應用程式zh_TW
dc.subject持續使用zh_TW
dc.subject期望不確定理論zh_TW
dc.subject認知關鍵多數zh_TW
dc.subjectexpectancy disconfirmation theoryen
dc.subjectsmartphone applicationen
dc.subjectperceive critical massen
dc.subjectcontinuous usageen
dc.title手機遊戲App持續使用意圖之研究zh_TW
dc.titleUser’s Intention of
Continuous Usage of Mobile Game App
en
dc.typeThesis
dc.date.schoolyear102-2
dc.description.degree碩士
dc.contributor.oralexamcommittee張欣綠(Hsin-lu Chang),王凱(Kai Wang)
dc.subject.keyword智慧型手機應用程式,持續使用,期望不確定理論,認知關鍵多數,zh_TW
dc.subject.keywordsmartphone application,continuous usage,expectancy disconfirmation theory,perceive critical mass,en
dc.relation.page60
dc.rights.note有償授權
dc.date.accepted2014-07-22
dc.contributor.author-college管理學院zh_TW
dc.contributor.author-dept資訊管理學研究所zh_TW
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