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博碩士論文 etd-0527113-202130 詳細資訊
Title page for etd-0527113-202130
論文名稱
Title
你今天下載了嗎?影響行動裝置使用者遊戲App下載意圖與下載行為之因素研究
Did You Download Game Apps Today? Exploring Factors Affecting Mobile Device Users' Intention and Behavior to Download Games
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
94
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2013-06-19
繳交日期
Date of Submission
2013-06-27
關鍵字
Keywords
五大人格特質(Big-five model)、行動遊戲、整合性科技接受模式(UTAUT)、結構方程模式、下載行為、微型應用程式
Unified Theory of Acceptance & Use of Technology (UTAUT), APP, mobile game, Big-five model, download behavior, Structural Equation Modeling(SEM)
統計
Statistics
本論文已被瀏覽 5801 次,被下載 234
The thesis/dissertation has been browsed 5801 times, has been downloaded 234 times.
中文摘要
遊戲App的便利性與隨時性讓其成為行動裝置使用者打發時間的首選。根據美國網路研究機構Pew Research Center資料顯示,App下載數量以遊戲App下載比例居冠。重要的是,評斷一個App的成功與否,下載次數是其主要因素之一(Albright, 2012),而現今學術界卻鮮少探討遊戲App的下載意圖與行為。因此,本研究旨在探討影響行動裝至使用者下載的因素並以整合性科技接受模型(Unified Theroy of Acceptance and Use of Technology,UTAUT)為主要架構,考量UTAUT的構面非全部適用於本研究脈絡,故採用努力期望與社會影響為其主要構面,並以遊戲經驗為干擾變數,並於文獻探討後提出研究問題,欲了解使用者人格特質是否能作為影響下載之前置因子。另外,努力期望以及社會影響是否會對遊戲App下載意圖產生影響,以及具備遊戲經驗者對於遊戲App下載意圖的影響。本研究重點在於探討影響下載意圖與行為的相關因素,因此,只要具有下載遊戲App經驗皆為本研究之研究對象。本研究採用便利抽樣,藉由網路蒐集樣本,於BBS、Facebook上張貼網路問卷。並以動差結構分析(Analysis of Moment Structures, AMOS)作為假說驗證之工具,進行模型適配度與信效度檢驗後,以整體模式檢定假說。本研究結果發現,行動裝置使用者的人格特質作為影響下載的前置因素,使用者的努力期望、規範性影響與資訊性影響會顯著影響下載意圖,而下載意圖會對下載行為產生正向影響,研究結果不僅將UTAUT中的社會影響因素完整化,更延伸原本UTAUT的架構,使對於未來行動遊戲下載的行為更具解釋性。
Abstract
Mobile gaming now accounts for one of the top consumer behaviors on mobile device with estimates of 15billion market value by 2015. The goal of this study is to explore factors affecting mobile device users to download game apps based on the Unified Theory of Acceptance and Use of Technology(UTAUT) model while considering the moderating effects of game experience. Two of the constructs of UTAUT, effort expectancy(EE) and social influence(SI) are adopted and two additional constructs,game review and game popularity are developed..Particularly, this study investigates the role of personality factors in the UTAUT model. 475 participants completed an online survey and analysis of Moment Structures (AMOS) was used to test the measurement and structural model. The results show that the Big –Five personality traits are significant predictors of downloading game apps.EE, normative SI,game review and game popularity also have significantly postive effects on download intention while game-download intention is significantly postively related to download behavior. This study extends the UTAUT model by adding more constextual variables to understand mobile game users’ download intention and behavior. Theoretical and practical implications are also discussed.
目次 Table of Contents
論文審定書 i
誌謝 ii
中文摘要 iii
Abstract iv
圖次 vi
表次 vii
壹、 緒論 1
第一節 研究背景 1
第二節 研究動機與目的 5
貳、 文獻探討 7
第一節 行動應用程式(App) 7
第二節 行動遊戲(Mobile Game) 7
第三節 整合性科技接受模式(UTAUT) 12
第四節 人格特質 (Personality) 27
參、 研究方法 31
第一節 研究架構 31
第二節 研究變項操作型定義與衡量方法 32
第三節 研究對象與測量工具 34
肆、 資料分析 37
第一節 前測之執行與結果 37
第二節 正式問卷的發放與檢測方式 38
第三節 敘述性統計分析 39
第四節 信度、效度分析與模式適配度檢測 44
第五節 路徑分析與假說驗證 50
伍、 結論與建議 55
第一節 研究結論 55
第二節 研究結果之意涵 58
第三節 研究限制與未來建議 62
參考文獻 64
附錄 問卷 78
參考文獻 References
丁崇民(2009)。《行動遊戲之可用性與沉浸性對使用者滿意度的影響》。國立暨南大學資訊管理研究所碩士論文。
王正傑(2004)。《大學生採用行動遊戲服務影響因素之研究》。銘傳大學傳播管理研究所碩士論文。
王音筑(2012)。《我國行動應用軟體開發關聯與消費特徵分析》。國立成功大學電信管理研究所碩士論文。
石子(2012年7月2日)。 Android app 開發方法與行銷策略 –《破解社群與App行銷》,取自http://taiwansmm.wordpress.com/2012/07/02/google-play-的-app-製作方法與行銷技巧-google-2012-io-行銷教戰手冊與範/
任雯萍(2008)。《探討行動遊戲使用者意願及滿意度之研究》。大葉大學資訊管理學系碩士在職專班論文。
何易剛(2011)。《行動應用軟體獲利模式之研究》。國立政治大學科技管理研究所碩士論文。
吳明隆(2009)。《結構方程模式AMOS的操作與應用》。台北市: 五南圖書出版公司。
吳凱群(2012)。《智慧型手機使用者下載軟體意願之研究-以享樂型應用軟體為例》。東吳大學資訊管理學系碩士論文。
李韋達、方文昌(2004)<從品牌知名度探討知覺品質和購買意願-以價格與來源國形象為調節變數>,《管理評論》,23(4):89-112.
李煉祥(2011)。《智慧型手機軟體商店之商業模式分析》。國立中央大學資訊管理學系在職專班碩士論文。
林育安(2012)。 《智慧型手機應用程式之Logo吸引力探索》。國立中央大學資訊管理學系碩士論文。
林姿旻(2011)。《數位遊戲之行動載具使用者行為與開發分析─以智慧型手機為例》國立政治大學數位內容學程碩士論文。
邱皓政(2007年11月1日)。 <量化研究典範的革命-結構方程模式概說>。《晨晰統計部落格-統計、問卷與SPSS的討論園地》。取自http://tw.myblog.yahoo.com/da_sanlin/article?mid=186&prev=191&next=180
姜漢儀(2012)。<行動遊戲發展現況與消費趨勢>。產業情報研究所。
胡倬豪(2012)。《探討玩家玩行動遊戲之行為意圖》。開南大學資訊及電子商務學系碩士論文。
康健寧(2012年3月28日)。<行動遊戲玩家玩「上床」了?>。《動腦》。取自http://www.brain.com.tw/Famous/FamousContent.aspx?ID=915
張華城、曾世杰(2011)。《構成玩家遊戲經驗因素之研究》。「2011數位內容與多媒體應用研討會」,苗栗縣。
張銀益、劉上嘉、陳松輝、陳慧玲、蔡幸蓁(2010)。<手機線上(Online)遊戲之消費者使用意願影響因素研究>,《輔仁管理評論》,17(3):55-84。
許家瑞(2011)。《手機使用者對行動遊戲的使用態度與意圖之研究:以最適刺激水準為調節變數》。大葉大學資訊管理學系碩士論文。
陳佩瑜(2007)。《知覺娛樂性及情境因素對行動遊戲使用意願之影響》。國立中山大學傳播管理研究所碩士論文。
黃芳銘(2004)。《社會科學統計方法學: 結構方程模式》台北市: 五南圖書出版公司。
黃姿婷(2012)。《行動應用軟體付費下載之因素研究》。國立臺北大學企業管理學系碩士論文。
楊敏鈺(2006)。《數位化時代下消費者社會網絡對消費型態之影響研究》。國立成功大學企業管理學系專班碩士論文。
資策會FIND(2011)。<臺灣消費者持有智慧型手機成長顯著,影音娛樂將帶動新一波應用型態>。2010消費者行動電話的持有現況與未來關鍵需求。台北市:資策會。
資策會FIND(2012)。<臺灣民眾行動裝置應用程式使用行為與偏好>。資策會。取自 http://www.find.org.tw/find/home.aspx?id=332&page=many
廖正雄(2012)。《電子遊戲的遊戲性分類研究─以APP STORE遊戲為例》。國立中央大學高階主管企管碩士論文。
管祺榮(2011)。《運用整合性科技接受理論探討使用手機玩線上遊戲之研究》。淡江大學管理科學研究所企業經營在職專班碩士論文。
蔡政修(2012)。《參與動機、可玩性對智慧型手機行動遊戲滿意度與使用行為影響之研究》。國立臺灣藝術大學廣播電視學系碩士論文。
賴郁淇(2008)。《探討Podcasting採用因素與使用行為之研究》。國立政治大學廣播電視研究所。
鍾采霏(2012)。《智慧型手機應用程式之商業模式分析》。國立政治大學商管專業學院碩士學位學程碩士論文。
蘇蘅、吳淑俊(1997)。<電腦網路問卷調查可行性及回覆者特質的研究>,《新聞學研究》,54:75-100。






Aaker, D. A. (1991). Managing Brand Equity. New York: The Free Press.
Ajzen, I. (1985). From Intentions to Actions: A Theory of Planned Behavior. In I. J. K. J. B. (Eds.) (Ed.), Action-control: From Cognition to Behavior (pp. 11-39). Heidelberg: Springer.
Ajzen, I. (1991). The theory of Planned Behavior. Organational Behavior and Human Decision Processes, 50, 179-211.
Albright, L. (2012). To grow your app business, think loyalt, from http://venturebeat.com/2012/11/10/mobile-apps-loyalty/
Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Academic of Marketing Science, 16(1), 74-94.
Barrick, M. R., M. K. Mount, T. A. Judge. (2001). Personality and performance at the beginning of the new millennium: What do we know and where do we go next? International Journal of Selection Assessment, 9, 9-30.
Bearden, W. O., Netemeyer, R. G. and Teel, J. E. (1989). Measurement of Consumer Susceptibility to Interpersonal Influence. Journal of Consumer Research, 15, 121-134.
Bentler, P. M. (1989). Theory and implication of EQS: A structural equations program. Los Angeles: BMDP Statistical Software.
Bentler, P. M., & Bonnett,D.G. (1980). Significant tests and goodness of fit in the analysis of covariance structure. Psychological Bulletin, 88(3), 588-606.
Bianchi, A., & Phillips, J. G. (2005). Psychological predictors of problem mobile phone use. CyberPsychology & Behavior, 8, 39-51.
Bozionelos, N. (1996). Prevalence of computer anxiety in British managers and professionals Psychological Reports (Vol. 78, pp. 995-1002).
Browne, M., & R.Cudek. (1993). Alternative ways of assessing model fit. In B. a. J. S. L. K (Ed.), Testing Structural Models (pp. 136-162). Newbury Park: Sage.
Carmines, E. G., & Mclver, J. P. (1981). Analyzing models with unobserved variables: Analysis of covariance structures. In B. G. W. & B. E. F. (Eds.), Social measurement: Current issues (pp. 65-115): Beverly Hills: Sage Publications.
Castells , M., M. , Fernandez-Ardevol , J. L., Qiu, A., & Sey. (2004). The mobile communication society: A cross-cultural analysis of available evidence on the social uses of wireless communication technology.
Cattell, R. B. (1965). A Biometrics Invited Paper. Factor Analysis: An Introduction to Essentials II. The Role of Factor Analysis in Research. Biometrics 21, 190-215.
Chaidogiannou, A. (2011). Game-based marketing. Master of Management in Business Innovation and Technology, Athens Information Technology.
Chen, L. S. L., Chi Jung, K., Yung-Hsin, L., & Hsiang-Ling, H. (2011, 27-30 June 2011). Applicability of the UTAUT model in playing online game through mobile phones: Moderating effects of user experience. Paper presented at the Technology Management Conference (ITMC), 2011 IEEE International.
Cheng, C.-W. (2012). A Preliminary Research on the System and Self-reference Features of the App Economy:A case study of Angry Birds. Journal of Kaohsiung University of Applied Sciences, 41.
Compeau, D., & Higgins, C. A. (1999). SOCIAL COGNITIVE THEORY AND INDIVIDUAL REACTIONS TO COMPUTING TECHNOLOGY: A LONGITUDINAL STUDY. MIS Quarterly, 23, 145-158.
Costa, P. T., Jr., & McCrae, R.R. (1992). NEOPI-R professional manual. Odessa: Psychological Assessment Resources, Inc.
Davis. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340.
Davis D., Richard P., & R., P. (1992). Extrinsic and Intrinsic Motivation to Use Computers in the Workplace. Journal of Applied Social Psychology, 22(14), 1111-1132.
Deutsch, M., & Gerard, H. B. (1955). A study of normative and informational social influences upon individual judgment. Journal of Abnormal Social Psychology, 51, 629-636.
Dredge, S. (2012). Tablets are 'media machines' with games the most popular app category, from http://www.guardian.co.uk/technology/appsblog/2012/oct/29/tablets-media-machines-flurry-research
Ehrenberg, A. S. J., K. M. White and S. P. Walsh (2008). (2008). Personality and self-esteem as predictors of young people’s technology use. CyberPsychology and Behavior, 11(6), 739-741.
Fishbein, M., Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. MA: Addison-Wesley.
Fornell, C., & Larcker, D. F. (1981). Evaluation structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
Gatewood, R. D. H. S. F. (1998). Human Resource Selection (4th ed.).
Goh, D.-L., Lee, C., & Chua, A.-K. (2010). Do Games Motivate Mobile Content Sharing? In G. Chowdhury, C. Koo & J. Hunter (Eds.), The Role of Digital Libraries in a Time of Global Change (Vol. 6102, pp. 61-70): Springer Berlin Heidelberg.
Goldberg, L. R. (1992). the development of markers for the Big-Five factor structure. Psychological Assessment, 4(1), 26-42.
Graziano, W. G., & Eisenberg, N. H. (1997). Agreeableness: a dimension of personality. San Diego: Academic Press.
Ha, I., Yoon, Y., & Choi, M. (2007). Determinants of adoption of mobile games under mobile broadband wireless access environment. Information & Management, 44(3), 276-286. doi: http://dx.doi.org/10.1016/j.im.2007.01.001
Hair, J. F., Black, B., Babin, B., Anderson, R. E., & Tatham, R. L. (2006). Multivariate Data Analysis (6 th ed.). NJ: Prentice-Hall.
Hair, J. F., Black, B., Babin, B., Anderson, R. E., & Tatham, R. L. (1992). Multivariate Data Analysis (6th ed.). New York: Macmillan. .
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis (6th ed ed.). New Jersey: Prentice-Hall.
Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1-55.
Hu, P. J., Chau, P.Y.K., Sheng, O.R.L. & Tam, K.Y. (1999). Examining the technology acceptance model using physician acceptance of telemedicine technology. Journal of Management Information Systems, 16, 91-112.
Hubona, G. S. a. S. G. (1997). External Variables, Beliefs, Attitudes and Information Technology Usage Behavior.
Igbaria M., J. I. H. M. (1995). Why Do Individuals Use Computer Technology? A Finnish Case Study. Information & Management.
Ivory, J. D. (2006). Still a Man’s Game: Gender Representation in Online Reviews of Video Games Mass Communication and Society (pp. 103-114).
J. F. Hair, R. E. A., R. L. Tatham and W. C Black. (2009). Multivariate Data Analysis. Englewood Cliffs: Prentice Hall.
Jahoda, M. (1959). Conformity and Independence: A Psychological Analysis. Human Relations, 12(2), 99-120.
James G. Phillips, S. B., and Alex Blaszczynski. (2007). Personality and Self-Reported Use of Mobile Phones for Games. CyberPsychology & Behavior, 9(6), 753-758. doi: 10.1089/cpb.2006.9.753
Jeng, S.-P. T., Ching-I. (2008). Personality and Motivations for Playing Online Games. SOCIAL BEHAVIOR AND PERSONALITY, 36(8), 1053-1060.
Jos, Zagal, P., Ladd, A., & Johnson, T. (2009). Characterizing and understanding game reviews. Paper presented at the Proceedings of the 4th International Conference on Foundations of Digital Games, Orlando, Florida.
Junglas, I., & Spitzmüller, C. (2006). Personality Traits and Privacy Perceptions: An Empirical Study in the Context of Location-Based Services Paper presented at the the International Conference on Mobile Business, Copenhagen.
Kang, S. (1998). Information Technology Acceptance:Evolving with the Changes in the Network Environment. Paper presented at the Proc.31st Annual Hawaii International Conference on System Sciences.
Kim, C. K., & Chung, J. Y. (1997). Brand Popularity, Country Image and Market Share: An Empirical Study. Journal of International Business Studies, 28(2), 361-386.
Kruglanski, A. W., & Webster, D. M. (1991). Group members’ reactions to opinion deviates and conformists at varying degrees of proximity to decision deadline and of environmental noise. Journal of Personality and Social Psychology, 61, 212-225.
Kuan, C.-J. (2011). Factors Influence on the Adoption of Playing Online Game through Mobile Phones: An Application of UTAUT Model. Master.
Landers, R. N., & Lounsbury, J.W. . (2006). An investigation of Big Five and narrow personality traits in relation to Internet usage. Computers in Human Behavior, 22, 283-293.
Lane, W. (2011). The Impact of Personality Traits on Smartphone Ownership and Use. International Journal of Business and Social Science, 2(17).
Larsen, J. (2008). Evaluating User Experience–how game reviewers do it: Workshop CHI’08.
Lee, S. H. (2009). how do online reviews affect purchasing intention? African Journal of Business Management, 3(10), 576-581.
Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & Management, 40, 191-204.
Levitt, H. M. (1999). The Development of Wisdom: An Analysis of Tibetan Buddhist Experience. Journal of Humanistic Psychology 39 (2), 86-105. doi: 10.1177/0022167899392006
Liu, Y., & Li, H. (2011). Exploring the impact of use context on mobile hedonic services adoption: An empirical study on mobile gaming in China. Computers in Human Behavior, 27(2), 890-898. doi: http://dx.doi.org/10.1016/j.chb.2010.11.014
Livingston, I. (2011). THE CRITICAL EFFECT: EVALUATING THE EFFECTS AND USE OF VIDEO GAME REVIEWS. Master of Science, University of Saskatchewan.
Livingston, I. J., Nacke, L. E., & Mandryk, R. L. (2011). The impact of negative game reviews and user comments on player experience. Paper presented at the ACM SIGGRAPH 2011 Game Papers, Vancouver, British Columbia, Canada.
Lynott, P., & McCandless, N. J. (2000). The Impact of Age vs. Life Experiences on the Gender Role Attitudes of Women in Different Cohorts. Journal of Women and Aging, 12(2), 5-21.
Mathieson, K. (1991). Predicting User Intentions:C omparing the Technology Acceptance Model with the Theory of Planned Behavior. Information Systems Research 2, 173-191.
McCrae, & Costa, P. (1986). Evalutating Comprehensiveness in Personality System: The California Q-set and the Five-Factor Model”,. Journal of Personality.
McCrae, R., & Costa, P. (1992). An Introduction of the Five Factor Model and its Applications. Journal of Personality.
McElroy, J. C., A. R. Hendrickson, A.. M. Townsend, and S. M. DeMarie. (2007). Dispositional factors in internet use: Personality versus cognitive style. MIS Quarterly, 31(4), 809-820.
Moon, J. W., & Y. G., Kim,. (2001). Extending the TAM for a World-Wide-Webcontext. Information & Management, 38, 217-230.
Moore, G. C., & Benbasat, I. (1991). Development of an Instrumentt o Measure the Perceptions of Adopting an InformationT echnology Innovation
Information Systems Research, 2, 192-222.
Newzoo. (2013). Mobile Games Trend Report Free, from http://www.newzoo.com/trend-reports/mobile-games-trend-report-free/
Nielsen. (2012). State of the Appnation-A Year of Change and Growth in U.S. Smartphones.
NPDGroup. (2005). Mobile games: Who's playing? , from http://www.wgworld.com/site/article/mobile-games-whos-playing
NPDGroup. (2006). Power Players in Mobile Gaming, from http://wireless.npd.com/bulletinpowerplays_mobile.html
Okazaki, S., Skapa, R., & Grande, I. (2008). Capturing Global Youth: Mobile Gaming in the U.S., Spain, and the Czech Republic. Journal of Computer-Mediated Communication, 13(4), 827-855. doi: 10.1111/j.1083-6101.2008.00421.x
Pan, T. (2011). Factors Affecting Mobile Gaming Adoption - A Study of Chinese Users and Contexts. Master, AALTO UNIVERSITY SCHOOL OF ECONOMICS.
Park, H. J., & Kim, S.-H. (2013). A Bayesian network approach to examining key success factors of mobile games. Journal of Business Research, 66(9), 1353-1359. doi: http://dx.doi.org/10.1016/j.jbusres.2012.02.036
Peter, J. P., & Olson, J. C. (1999). Consumer behavior and marketing strategy (Vol. 5th edition): Irwin/McGraw-Hill (Boston).
PewInternet. (2010). The Rise of Apps Culture.
Ponnada, A., & Kannan, A. (2012). Evaluation of mobile games using playability heuristics. Paper presented at the ICACCI '12 Proceedings of the International Conference on Advances in Computing, Communications and Informatics.
Rosen, P. A., & Kluemper, D. H. (2008). The impact of the big five personality traits on the acceptance of social networking website. Paper presented at the AMCIS 2008 Proceedings., Seattle.
Rossiter, J., & Percy, L. (1987). Advertising and Promotion
Management. New York: McGraw.
Rovio. (2012). ROVIO ENTERTAINMENT REPORTS 2011 FINANCIAL RESULTS, from http://www.rovio.com/en/news/blog/161/rovio-entertainment-reports-2011-financial-results
Saucier, G. (1994). Mini- markers: a brief version of Goldberg’s univolar Big-Five markers. Journal of personality assessment, 63(3), 506-516.
Schmitt, B. H. (1999). Experiental Marketing. Journal of Marketing Management, 15, 53-67.
Shaffer, H. J., Hall, M.N., & Vander Bilt, J. (2000). Computer addiction”: Acritical consideration. American Journal of Orthopsychiatry, 70, 162-168.
Sproull, L. (1986). Using electronic mail for data collection in organizational research. Academy of Management Journal 29(1), 159-169.
Sproull, L., & Kiesler, S. (1986). Reducing social context cues: Electronic mail in organizational communication. Management Science, 32(11), 1492-1512.
Svendsena, G. B., Johnsenb, J.-A. K., Almas-Srensenc, L., & Vittersd, J. (2013). Personality and technology acceptance: the influence of personality factors on the core constructs of the Technology Acceptance Model. Behaviour & Information Technology, 32(4), 323-334.
T. Erdem , J. S. A. V. (2006). Brands as Signals: A Cross-Country Validation Study. Journal of Marketing, 70:January, 34-49.
Taylor, S., & Todd, P. A. (1995). Assessing IT Usage:The Role of Prior Experience. MIS Quarterly, 19, 561-570.
Taylor, S., & Todd, P. A. (1995). UnderstandingIn formationTechnology Usage: A Test of Competing Models. Information Systems Research, 6, 144-176.
Teng, C.-I., Lo, S.-K., & Lin, Y.-L. (2012). Online gamer personality and weekday gaming tendency. African Journal of Business Management, 6(2), 704-710.
Terzis, V., Moridis, C. N., & Economides, A. A. (2012). How student’s personality traits affect Computer Based Assessment Acceptance: Integrating BFI with CBAAM. Computers in Human Behavior, 28(5), 1985-1996. doi: http://dx.doi.org/10.1016/j.chb.2012.05.019
Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal Computing: Toward a Conceptual Model of Utilization. M IS Quarterly, 124-143.
Tinson J., E. J. (2001). Group norms and the attitude- behavior relationship: A role for group identification. Personality and Social Psychology Bulletin, 22(776-793).
Trimpop, R. M. (1994). The psychology of risk taking behavior. Amsterdam: North-Holland.
Venkatesh, V., Morris, M., & Ackerman, P. (2000). A Longitudinal Field Investigation of Gender Differences in Individual Technology Adoption Decision-Making Processes. Organizational Behavior and Human Decision Processes, 83, 33-60.
Venkatesh, V., Morris, M., Gordon, B., & Davis, F. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425-478.
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.
Vorderer, P., Hartmann, T., & Klimmt, C. (2003). Explaining the enjoyment of playing video games: the role of competition. Paper presented at the ICEC '03 Proceedings of the second international conference on Entertainment computing, Pittsburgh, Pennsylvania.
Williams, B. (1978). a sampler on sampling. new york: John Wiley&Sons.
Zhou, T., & Lu, Y. (2011). The Effects of Personality Traits on User Acceptance of Mobile Commerce. JOURNAL OF HUMAN–COMPUTER INTERACTION, 27(545-561).
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