Using the technology acceptance model to evaluate user attitude and intention of use for online games

References

• Aladwani , A. M. and Palvia , P. C. 2002 . Developing and validating an instrument for measuring user-perceived web quality . Information & Management , 39 ( 6 ) : 467 – 476 .
   Web of Science ®Google Scholar
• Bharati , P. and Chaudhury , A. 2009 . SMEs and competitiveness: The role of information systems . International Journal of E-Business Research , 5 ( 1 ) : i – ix .
   Google Scholar
• Bressolles, G. (2006). La qualité de service électro-nique : NetQual. Proposition d'une échelle de mesure appliquée aux sites marchands et effets modérateurs [Electronic service quality: NetQual—Proposition of a measurement scale to commercial web sites and moderating effects]. Recherche et Applications en Marketing, 21(3), 19–45.
   Google Scholar
• Davis , F. D. , Bagozzi , R. P. and Warshaw , P. R. 1989 . User acceptance of computer technology: A comparison of two theoretical models . Management Science , 35 ( 8 ) : 982 – 1003 .
   Web of Science ®Google Scholar
• DeLone , W. H. and McLean , E. R. 1992 . Information system success: The quest for the dependent variable . Information Systems Research , 3 ( 1 ) : 61 – 95 .
   Google Scholar
• DeLone , W. H. and Mclean , E. R. 2003 . The DeLone and McLean model of information systems success: A ten year update . Journal of Management Information Systems , 19 ( 4 ) : 9 – 30 .
   Web of Science ®Google Scholar
• DFC Intelligence. (2004). Retrieved from http://www.dfcint.com/index.php
   Google Scholar
• Doll , W. J. and Torkzadeh , G. 1988 . The measurement of end-user computing satisfaction . MIS Quarterly , 12 ( 2 ) : 259 – 273 .
   Web of Science ®Google Scholar
• E-Marketer. (2010). Women account for bulk of online buying. Retrieved August 12, from http://www.emarketer.com/RecentArticles.aspx
   Google Scholar
• Fishbein , M. and Ajzen , I. 1975 . Belief, attitude, intention, and behavior: An introduction to theory and research , Reading , MA : Addison-Wesley .
   Google Scholar
• Gefen , D. 2003 . TAM or just plain habit: A look at experienced online shoppers . Journal of End User Computing , 15 ( 3 ) : 1 – 13 .
   Google Scholar
• Grandon , E. E. , Nasco , S. A. and Mykytyn , P.P. Jr. 2011 . Comparing theories to explain E-Commerce adoption . Journal of Business Research , 64 ( 3 ) : 292 – 298 .
   Web of Science ®Google Scholar
• Ha , J. and Stoel , L. 2009 . Consumer E-Shopping acceptance: Antecedents in a technology acceptance model . Journal of Business Research , 62 ( 5 ) : 565 – 571 .
   Web of Science ®Google Scholar
• Hair, J.F. Jr., Anderson, R.E., Tatham, R.L., & Black, W.C. (1998). Multivariate data analysis with reading. Upper Saddle River, NJ: Prentice-Hall.
   Google Scholar
• Hilton , R. 2006 . Gaming as an education tool . Young Consumers , 7 ( 2 ) : 14 – 19 .
   Google Scholar
• Hsu , C. L. and Lu , H. P. 2004 . Why do people play on-line games: An extended TAM with social influences and flow experience . Information and Management , 41 ( 7 ) : 853 – 868 .
   Web of Science ®Google Scholar
• Jackson , C. M. , Chow , S. and Leitch , R. A. 1997 . Toward an understanding of the behavioral intentions to use an information system . Decision Sciences , 28 ( 2 ) : 357 – 389 .
   Web of Science ®Google Scholar
• Janda , S. , Trocchia , P. J. and Gwinner , K. P. 2002 . Consumer perceptions of Internet retail E-service quality . International Journal of Service Industry Management , 13 ( 5 ) : 412 – 431 .
   Google Scholar
• Jarvenpaa , S. , Tractinsky , N. and Vitale , M. 2000 . Consumer trust in an Internet store . Information Technology and Management , 1 : 45 – 71 .
   Google Scholar
• Kim, K.H., Park, J.Y., Kim, D.Y., Moon, H.I., & Chun, H.C. (2002). E-lifestyle and motives to use online games. Irish Marketing Review, 15(2), 71–77.
   Google Scholar
• Koufaris , M. 2002 . Applying the technology acceptance model and flow theory to on-line consumer behavior . Information System Research , 13 ( 2 ) : 205 – 223 .
   Web of Science ®Google Scholar
• Lederer , L. A. , Maupin , J. D. , Sena , P. M. and Zhuang , Y. 2000 . The technology acceptance model and the World Wide Web . Decision Support Systems , 29 : 269 – 282 .
   Web of Science ®Google Scholar
• Lee , Y. W. , Strong , D. M. , Kahn , B. K. and Wang , R. Y. 2002 . AIMQ: A methodology for information quality assessment . Information & Management , 42 ( 2 ) : 133 – 146 .
   Web of Science ®Google Scholar
• Liang , C. and Chen , H. 2009 . A study of the impacts of website quality on customer relationship performance . Total Quality Management & Business Excellence , 20 ( 9 ) : 971 – 988 .
   Web of Science ®Google Scholar
• Lin , C-C. and Lu , H. 2000 . Towards an understanding of the behavioral intention to use a web site . International Journal of Information Management , 20 : 197 – 208 .
   Web of Science ®Google Scholar
• Lin , H. F. 2007 . The impact of website quality dimensions on customer satisfaction in the B2C E-commerce context . Total Quality Management and Business Excellence , 18 ( 4 ) : 363 – 378 .
   Web of Science ®Google Scholar
• Mckinney , V. , Yoon , K. and Zahedi , F. M. 2002 . The measurement of web-customer satisfaction: An expectation and disconfirmation approach . Information System Research , 13 ( 3 ) : 296 – 315 .
   Web of Science ®Google Scholar
• Moon , J.-W. and Kim , Y.-G. 2001 . Extending the TAM for World-Wide-Web context . Information & Management , 38 ( 4 ) : 217 – 230 .
   Web of Science ®Google Scholar
• Negash , S. , Ryan , T. and Igbaria , M. 2003 . Quality and effectiveness in Web-based customer support systems . Information & Management , 40 : 757 – 768 .
   Web of Science ®Google Scholar
• Palmer , J. W. 2002 . Web site usability, design, and performance metrics . Information Systems Research , 13 ( 2 ) : 151 – 167 .
   Web of Science ®Google Scholar
• Park , C. H. and Kim , Y. G. 2003 . Identifying key dimensions affecting consumer purchase behavior in an online shopping context . International Journal of Retail and Distribution Management , 31 : 16 – 29 .
   Google Scholar
• Raganathan , C. and Ganapathy , S. 2002 . Key dimensions of business-to consumer websites . Information and Management , 39 : 457 – 465 .
   Web of Science ®Google Scholar
• Rai , A. , Lang , S. S. and Welker , R. B. 2002 . Assessing the validity of IS success models: An empirical test and theoretical analysis . Information Systems Research , 13 ( 1 ) : 50 – 69 .
   Web of Science ®Google Scholar
• Saeed , K. A. , Hwang , Y. and Yi , M. Y. 2003 . Toward an integrative framework for online consumer behavior research: A meta-analysis approach . Journal of End User Computing , 15 ( 4 ) : 1 – 26 .
   Google Scholar
• Santouridis , I. , Trivellas , P. and Reklitis , P. 2009 . Internet service quality and customer satisfaction: Examining internet banking in Greece . Total Quality Management & Business Excellence , 20 ( 2 ) : 223 – 239 .
   Web of Science ®Google Scholar
• Savitskie , K. , Marla , B. , Royne , M. B. , Persinger , E. S. , Grunhagen , M. and Witte , C. L. 2007 . Norwegian Internet shopping sites: An application & extension of the technology acceptance model . Journal of Global Information Technology Management , 10 ( 4 ) : 54 – 73 .
   Google Scholar
• Seddon , P. B. 1997 . A Respecification and extension of the Delone and Mclean mode of is success . Information Systems Research , 8 ( 3 ) : 240 – 253 .
   Web of Science ®Google Scholar
• Sohn , C. and Tadisina , S. K. 2008 . Development of e-service quality measure for Internet-based financial institutions . Total Quality Management & Business Excellence , 19 ( 9 ) : 903 – 918 .
   Web of Science ®Google Scholar
• Szajna , B. 1996 . Empirical evaluation of the revised technology acceptance model . Management Science , 42 ( 1 ) : 85 – 92 .
   Web of Science ®Google Scholar
• Tsai , M.-T. , Cheng , N.-C. and Chen , K.-S. 2011 . Understanding online group buying intention: The roles of sense of virtual community and technology acceptance factors . Total Quality Management & Business Excellence , 22 ( 10 ) : 1091 – 1104 .
   Web of Science ®Google Scholar
• Venkatesh , V. and Davis , F. D. 1996 . A model of the antecedents of perceived ease of use: Development and test . Decision Sciences , 27 ( 3 ) : 451 – 481 .
   Web of Science ®Google Scholar
• Venkatesh , V. , Ramesh , V. and Massey , A. P. 2003 . Understanding usability in mobile commerce . Communications of the ACM , 45 ( 12 ) : 53 – 56 .
   Web of Science ®Google Scholar
• Vijayasarathy . 2004 . Predicting consumer intentions to use online shopping: The case for an augmented technology acceptance model . Information & Management , 41 ( 6 ) : 747 – 762 .
   Web of Science ®Google Scholar
• Webster , J. , Trevino , L. and Ryan , L. 1993 . The dimensionality and correlates of flow in human–computer interactions . Computers in Human Behavior , 9 : 411 – 426 .
   Web of Science ®Google Scholar
• Wolfinbarger, M., & Gilly, M.C. (2003). ETailQ: dimensionalizing, measuring, and predicting etail quality. Journal of Retailing, 79, 183–198.
   Google Scholar
• Yip , G. S. 2000 . Global strategy in the Internet era . Business Strategy Review , 11 ( 4 ) : 1 – 14 .
   Google Scholar
• Yoo, B., & Donthu, N. (2001). Developing a scale to measure the perceived quality of internet shopping sites (SITEQUAL). Quarterly Journal of Electronic Commerce, 2(1), 31–47.
   Google Scholar