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Technology acceptance model

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IS articles that use the theory
Chan, S., & Lu, M. (2004). Understanding internet banking adoption and use behavior: A hong kong perspective. Journal of Global Information Management, 12(3), 21-43.
Chau, P. K. Y. (1996). [http://inn.colorado.edu/Details/Paper/8150 An empirical assessment of a modified technology acceptance model]. Journal of Management Information Systems, 13(2), 185-204.
Chau, P. Y. K., & Hu, P. J. (2002). Investigating healthcare professionals' decisions to accept telemedicine technology: An empirical test of competing theories. Information & Management, 39(4), 297-311.
Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems: Theory and results. (Doctoral dissertation, Sloan School of Management, Massachusetts Institute of Technology).
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). [http://inn.colorado.edu/Details/Paper/199 User acceptance of computer technology: A comparison of two theoretical models]. Management Science, 35(8), 982-1003.
Devaraj, S., Fan, M., & Kohli, R. (2002). [http://inn.colorado.edu/Details/Paper/6798 Antecedents of b2C channel satisfaction and preference: Validation e-commerce metrics]. Information Systems Research, 13(3), 316-333.
Dishaw, M. T., & Strong, D. M. (1999). Extending the technology acceptance model with task-technology fit constructs. Information & Management, 36(1), 9-21.
Gefen, D. (2003). TAM or just plain habit: A look at experienced online shoppers. Journal of End User Computing, 15(3), 1-13.
Gefen, D., Karahanna, E., & Straub, D. W. (2003). [http://inn.colorado.edu/Details/Paper/126 Trust and TAM in online shopping: An integrated model]. MIS Quarterly, 27(1), 51-90.
Gefen, D., & Straub, D. W. (2000). The relative importance of perceived ease of use in IS adoption: A study of E-commerce adoption. Journal of the Association for Information Systems, 1(8), 1-28.
Gefen, D., & Straub, D. W. (1997). [http://inn.colorado.edu/Details/Paper/146 Gender differences in the perception and use of E-mail: An extension to the technology acceptance model]. MIS Quarterly, 21(4), 389-400.
Gentry, L., & Calantone, R. (2002). A comparison of three models to explain shop-bot use on the web. Psychology & Marketing, 19(11), 945-955.
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 & Management, 41(7), 853-868.
Igbaria, M., Guimaraes, T., & Davis, G. B. (1995). [http://inn.colorado.edu/Details/Paper/8650 Testing the determinants of microcomputer usage via a structural equation model]. Journal of Management Information Systems, 11(4), 87-114.
Igbaria, M., Zinatelli, N., Cragg, P., & Cavaye, A. L. M. (1997). [http://inn.colorado.edu/Details/Paper/144 Personal computing acceptance factors in small firms: A structural equation model]. MIS Quarterly, 21(3), 279-305.
Jackson, C. M., Chow, S., & Leitch, R. A. (1997). Toward an understanding of the behavioral intention to use an information system. Decision Sciences, 28(2), 357-389.
Klopping, I. M., & McKinney, E. (2004). Extending the technology acceptance model and the task-technology fit model to consumer E-commerce. Information Technology, Learning, and Performance Journal, 22(1), 35-48.
Koufaris, M. (2002). [http://inn.colorado.edu/Details/Paper/6795 Applying the technology acceptance model and flow theory to online consumer behavior]. Information Systems Research, 13(2), 205-223.
Lederer, A. L., Maupin, D. J., Sena, M. P., & Zhuang, Y. (2000). The technology acceptance model and the world wide web. Decision Support Systems, 29(3), 269-282.
Ma, Q., & Liu, L. (2004). The technology acceptance model: A meta-analysis of empirical findings. Journal of Organizational and End User Computing, 16(1), 59-72.
Mathieson, K. (1991). [http://inn.colorado.edu/Details/Paper/6663 Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior]. Information Systems Research, 2(3), 173-191.
McCloskey, D. (2003). Evaluating electronic commerce acceptance with the technology acceptance model. The Journal of Computer Information Systems, 44(2), 49-57.
Pikkarainen, T., Pikkarainen, K., Karjaluoto, H., & Pahnila, S. (2004). Consumer acceptance of online banking: An extension of the technology acceptance model. Internet Research, 14(3), 224-235.
Plouffe, C. R., Hulland, J. S., & Vandenbosch, M. (2001). [http://inn.colorado.edu/Details/Paper/6788 Research report: Richness versus parsimony in modeling technology adoption decisions - understanding merchant adoption of a smart card-based payment system]. Information Systems Research, 12(2), 208-222.
Riemenschneider, C. K., & Hardgrave, B. C. (2001). Explaining software development tool use with the technology acceptance model. The Journal of Computer Information Systems, 41(4), 1-8.
Szajna, B. (1996). Empirical evaluation of the revised technology acceptance model. Management Science, 42(1), 85-92.
Szajna, B. (1994). [http://inn.colorado.edu/Details/Paper/161 Software evaluation and choice: Predictive validation of the technology acceptance instrument]. MIS Quarterly, 18(3), 319-324. Taylor, S., & Todd, P. (1995). Assessing IT usage: The role of prior experience. MIS Quarterly, 19(4), 561-570.
Taylor, S., & Todd, P. A. (1995). Understanding information technology [http://inn.colorado.edu/Details/Paper/213 Assessing IT usage: A test The role of competing modelsprior experience]. Information Systems ResearchMIS Quarterly, 619(24), 144561-176570.
Taylor, S., & Todd, P. A. (1995). [http://inn.colorado.edu/Details/Paper/6885 Understanding information technology usage: A test of competing models]. Information Systems Research, 6(2), 144-176.  Venkatesh, V. (2000). [http://inn.colorado.edu/Details/Paper/6588 Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model]. Information Systems Research, 11(4), 342-365.
Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27(3), 451-481.
Venkatesh, V., & Morris, M. G. (2000). [http://inn.colorado.edu/Details/Paper/79 Why don't men ever stop to ask for dirrections? gender, social influence, and their role in technology acceptance and usage behavior]. MIS Quarterly, 24(1), 115-139.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). [http://inn.colorado.edu/Details/Paper/75 User acceptance of information technology: Toward a unified view]. MIS Quarterly, 27(3), 425-478.
Venkatesh, V., Speier, C., & Morris, M. G. (2002). User acceptance enablers in individual decision making about technology: Toward an integrated model. Decision Sciences, 33(2), 297-316.
Wang, Y., Wang, Y., Lin, H., & Tang, T. (2003). Determinants of user acceptance of internet banking: An empirical study. International Journal of Service Industry Management, 14(5), 501-519.
Wixom, B. H., & Todd, P. A. (2005). [http://inn.colorado.edu/Details/Paper/6818 A theoretical integration of user satisfaction and technology acceptance]. Information Systems Research, 16(1), 85-102.  Yu, J. L. C., Liu, C., & Yao, J. E. (2003). Technology acceptance model for wireless internet. Internet Research, 13(3), 206-222.
Yu, J. L. C., Liu, C., & Yao, J. E. (2003). Technology acceptance model for wireless internet. Internet Research, 13(3), 206-222.
== Links from this theory to other theories ==
[[Theory of planned behavior]], [[Theory of reasoned action]], [[Unified theory of acceptance and use of technology]], [[Delone and McLean IS success model]]
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