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Quo vadis TAM

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Quo vadis TAM
Quo vadis, TAM?
Izak Benbasat
Sauder School of Business
University of British Columbia izak.benbasat@ubc.ca Henri Barki
HEC Montréal henri.barki@hec.ca The Technology Acceptance model (TAM) is one of the most influential theories in Information Systems. However, despite the model 's significant contributions, the intense focus on TAM has diverted researchers’ attention away from other important research issues and has created an illusion of progress in knowledge accumulation. Furthermore, the independent attempts by several researchers to expand TAM in order to adapt it to the constantly changing IT environments has lead to a state of theoretical chaos and confusion in which it is not clear which version of the many iterations of TAM is the commonly accepted one. The present commentary discusses these concerns, speculates on the possible contributions to the current state of affairs, and makes several suggestions to alleviate the problems associated with TAM and to advance IT adoption research to the next stage.

Volume 8, Issue 4, Article 3, pp. 211-218, April 2007

Volume 8

Issue 4

Article 3

Quo vadis, TAM?

1. Introduction
The Technology Acceptance Model (TAM) is generally referred to as the most influential and commonly employed theory in information systems (Lee et al. 2003). Some also consider it to be the only well-recognized theory in IS (having dethroned
Nolan’s stage model that had this distinction earlier). The objective of the present commentary is to draw researchers’ attention to the necessity of reorienting IT adoption and acceptance research toward potentially more fruitful avenues and away from “TAM++ research” that adds little knowledge to TAM or its many different versions.
The origins of TAM can be traced to the Theory of Reasoned Action (TRA) (Fishbein and Ajzen 1975). TRA requires that salient beliefs about one’s attitude toward a particular behavior (e.g., buying on the web) be elicited in order to be



References: Agarwal, R., "Individual Acceptance of Information Technologies," in R.W. Zmud (ed.), Framing the Domains of IT Management, 2000, Pinnaflex, Cincinnati, OH, 85-104. Agarwal, R. and E. Karahanna, "Time Flies When You 're Having Fun: Cognitive Absorption and Beliefs about Information Technology Usage," MIS Quarterly, 24, 4 (December 2000), 665-694. Beaudry, A. and A. Pinsonneault, "Understanding User Responses to IT: A User Adaptation Coping Acts Model," MIS Quarterly, 29, 3 (September 2005), 493-524. Benbasat, I. and R. W. Zmud, "Empirical Research in Information Systems: The Practice of Relevance," MIS Quarterly, 23, 1 (March 1999), 3-16. Benbasat, I. and R. W. Zmud, "The Identity Crisis within the IS Discipline: Defining and Communicating the Discipline’s Core Properties," MIS Quarterly, 27, 2 (June 2003), 183-194. Bhattacherjee, A., "Understanding Information Systems Continuance: An Expectation-Confirmation Model," MIS Quarterly, 25, 3 (2001), 351-370. Bhattacherjee, A. and G. Premkumar, "Understanding Changes in Belief and Attitude toward Information Technology Usage: A Theoretical Model and Longitudinal Test," MIS Quarterly, 28, 2 (2004), 229-254. Burton-Jones, A and Straub, D.W. "Reconceptualizing System Usage: An Approach and Empirical Test," Information Systems Research, 17, 3 (2006), 228-246. Davis, F.D., "A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results", doctoral dissertation, MIT Sloan School of Management, Cambridge, MA, 1986. Davis, F.D., R.P. Bagozzi, and P.R., Warshaw, "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, 35, 8 (1989), 982-1003. Davis, F.D. and Kottemann, J.E. “User Perceptions of Decision Support Effectiveness: Two Production Planning Experiments,” Decision Sciences 25, 1 (1994), pp DeLone, W.H. and McLean, E. "The DeLone and McLean Model of Information Systems Success: A Ten Year Update," Journal of Management Information Systems, 19, 4 (2003), 9-30. Doll, W.J. and G. Torkzadeh, "Developing a Multidimensional Measure of System-Use in an Organizational Context," Information & Management, 33 (1998), 171-185. Fishbein, M. and I. Ajzen, Attitude, Intention and Behavior: An Introduction to Theory and Research, Addison-Wesley, Reading, MA, 1975. Gefen, D., E. Karahanna, and D.W. Straub, "Trust and TAM in Online Shopping: An Integrated Model," MIS Quarterly, 27, 1 (March 2003), 51-90. Goodhue, D.L., "Understanding User Evaluations of Information Systems," Management Science, 41, 12 (December 1995), 1827-1844. Hebert, Marilynne and I. Benbasat, "Factors Influencing the Adoption of Bedside Terminals by Nursing Staff: A Field Study of the Diffusion of Innovations in Hospitals," Hospital and Health Services Administration, 39, 3 (1994), 369-383. Johnson, B. and R. Rice, Managing Organizational Innovation: The Evolution from Word Processing to Office Information System, Columbia University Press, New York, NY,, 1987. Jiang, Z. and I. Benbasat, "Virtual Product Experience: Effects of Visual and Functional Control on Perceived Diagnosticity in Electronic Shopping," Journal of MIS, 21, 3 (Winter 2004-2005), 111-147. Karahanna, E., D.W. Straub, and Chervany, N.L., "Information Technology Adoption across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs," MIS Quarterly, 23, 2 (June 1999), 183-213. Kim, S.S. and Malhotra, N.K., "A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena," Management Science, 51, 5 (May 2005), 741-755. Kuhn, T.S., The Structure of Scientific Revolutions, 2nd ed., University of Chicago Press, Chicago, 1970. Lee, Y., K.A. Kozar and K.R.T. Larsen, "The Technology Acceptance Model: Past, Present, and the Future," Communications of the AIS, 12 (2003), 752-780. Majchrzak, A., R.E. Rice, A. Malhotra, N. King and S. Ba, "Technology Adaptation: The Case of a Computer Supported Inter-Organizational Virtual Team," MIS Quarterly, 24, 4 (2000), 569-600. Moore, G.C., “End User Computing and Office Automation: A Diffusion of Innovations Perspective”, INFOR 25, 241-235, 1987. Information Technology, Chapman and Hall Publishers, London, G.B., 1996, 132-146. Moore, G.C. and I. Benbasat, "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, 2, 3 (September 1991), 192-222. Nambisan, S., R. Agarwal and M. Tanniru, "Organizational Mechanisms for Enhancing User Innovation in Information Technology," MIS Quarterly, 23, 3 (September 1999), 365-395. Orlikowski, W.J., "The Duality of Technology: Rethinking the Concept of Technology in Organizations," Organization Science, 3, 3 (1992), 398-427. Orlikowski, W.J., "Improvising Organizational Transformation over Time: A Situated Change Perspective," Information Systems Research, 7, 1 (March 1996), 63-92. Orlikowski, W.J. and C.S. Iacono, "Research Commentary: Desperately Seeking the ‘IT’ in IT Research—A Call to Theorizing the IT Artifact," Information Systems Research, 12, 2 (June 2001), 121-134. Papa, W.H. and M.J. Papa, "Communication Network Patterns and the Re-Invention of New Technology," Journal of Business Communication, 29, 1 (1992), 41-61. Pavlou, P.A., and M. Fygenson, "Understanding and Predicting Electronic Commerce Adoption: An Extension of the Theory of Planned Behavior," MIS Quarterly, 30, 1 (March 2006), 115-144. Rogers, E.M., Diffusion of Innovations (5th edition), New York, NY, Free Press, 2003. Straub, D.W., Limayem, M. and Karahanna-Evaristo, E. "Measuring System Usage: Implications for IS Theory Testing," Management Science, 41, 8 (August 1995), 1328-1342. Triandis, H.C., "Values, Attitudes, and Interpersonal Behavior," Nebraska Symposium on Motivation, 1979: Beliefs, Attitudes, and Values, University of Nebraska Press, Lincoln, NE, 1980, 195-259. Vandenbosch, B. and C.H. Higgins, "Information Acquisition and Mental Models: An Investigation into the Relationship Between Behavior and Learning," Information Systems Research, 7, 2 (June 1996), 198-214. Van der Heijden, H. "User Acceptance of Hedonic Information Systems," MIS Quarterly, 28, 4 (December 2004), 694-704. Venkatesh, V., M.G. Morris, G.B. Davis and F.D. Davis, "User Acceptance of Information Technology: Toward a Unified View," MIS Quarterly, 27, 3 (2003), 425-478. Venkatesh, V. and F.D. Davis, "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Studies," Management Science, 46, 2 (February 2000), 186-204.

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