Technology Acceptance Model (TAM) The technology acceptance model specifies the causal relationships between system design features, perceived usefulness, perceived ease of use, attitude toward using, and actual usage behaviour. Overall, the TAM provides an informative representation of the mechanisms by which design choices influence user acceptance, and should therefore be helpful in applied contexts for forecasting and evaluating user acceptance of information technology. Figure: The Technology Acceptance Model References: Davis, F.D. (1989). “Perceived usefulness, perceived ease of use, and user acceptance of information technology”. MIS Quarterly, 13 (3), pp. 318- 340. Davis, F.D. (1993). “User acceptance of information technology: system characteristics, user perceptions and behavioural impacts”. International Journal of Man-Machine Studies 38, pp. 475-487. Davis, F.D. and Venkatesh, V. (2004). “Toward Preprototype User Acceptance Testing of New Information Systems: Implications for Software Project Management”. IEEE Transactions on Engineering Management, 51 (1). 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), pp. 982-1003. Riedel, R., Fransoo, J.C. and Wiers, V.C.S. (2006). Modelling dynamics in decision support systems. In: R.N. Piekaar, E.A.P. Koningsveld and P.J.M. Settels, Proceedings IEA 2006 Congress (CD-ROM). http://home.tm.tue.nl/jfransoo/IEARFW.pdf Venkatesh, V. and Davis, F.D. (1996). “A model of the antecedents of perceived ease of use: Development and test”. Decision Sciences, 27 (3). Venkatesh, V. and Davis, F.D. (2000). “A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies”. Management Science, 46 (2), pp. 186-204. external variable s perceived usefulnes s perceived ease of use behaviour al intention actual system use

Technology Acceptance Model (TAM) Model

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Technology Acceptance Model (TAM)

The technology acceptance model specifies the causal relationships between system design features, perceived usefulness, perceived ease of use, attitude toward using, and actual usage behaviour. Overall, the TAM provides an informative representation of the mechanisms by which design choices influence user acceptance, and should therefore be helpful in applied contexts for forecasting and evaluating user acceptance of information technology.

Figure: The Technology Acceptance Model

References: Davis, F.D. (1989). “Perceived usefulness, perceived ease of use, and user

acceptance of information technology”. MIS Quarterly, 13 (3), pp. 318-340. Davis, F.D. (1993). “User acceptance of information technology: system

characteristics, user perceptions and behavioural impacts”. International Journal of Man-Machine Studies 38, pp. 475-487.

Davis, F.D. and Venkatesh, V. (2004). “Toward Preprototype User Acceptance Testing of New Information Systems: Implications for Software Project Management”. IEEE Transactions on Engineering Management, 51 (1).

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), pp. 982-1003.

Riedel, R., Fransoo, J.C. and Wiers, V.C.S. (2006). Modelling dynamics in decision support systems. In: R.N. Piekaar, E.A.P. Koningsveld and P.J.M. Settels, Proceedings IEA 2006 Congress (CD-ROM). http://home.tm.tue.nl/jfransoo/IEARFW.pdf

Venkatesh, V. and Davis, F.D. (1996). “A model of the antecedents of perceived ease of use: Development and test”. Decision Sciences, 27 (3).

Venkatesh, V. and Davis, F.D. (2000). “A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies”. Management Science, 46 (2), pp. 186-204.

external variables

perceived usefulness

perceived ease of use

behavioural intention

actual system use

http://home.tm.tue.nl/jfransoo/IEARFW.pdf