December 2003 | Younghwa Lee, Kenneth A. Kozar, Kai R.T. Larsen
The Technology Acceptance Model (TAM), introduced in 1986, remains the most widely applied theoretical model in the Information Systems (IS) field. This study traces the history of TAM, investigates its findings, and predicts its future trajectory. The research examines 101 articles published in leading IS journals and conferences from 1986 to 2003, along with survey responses from 32 leading IS researchers. The study identifies five key periods in TAM's evolution: introduction, validation, extension, elaboration, and future directions. Key findings include the model's robustness in predicting IS acceptance behavior across different technologies and contexts, the importance of perceived usefulness (PU) and perceived ease of use (PEOU) as major variables, and the need for further research to incorporate more variables, explore boundary conditions, and investigate actual usage. The study also highlights the limitations of TAM, such as the overreliance on self-reported usage and the need for longitudinal studies. Finally, it suggests future research directions, including the integration of other theories and the exploration of new external variables.The Technology Acceptance Model (TAM), introduced in 1986, remains the most widely applied theoretical model in the Information Systems (IS) field. This study traces the history of TAM, investigates its findings, and predicts its future trajectory. The research examines 101 articles published in leading IS journals and conferences from 1986 to 2003, along with survey responses from 32 leading IS researchers. The study identifies five key periods in TAM's evolution: introduction, validation, extension, elaboration, and future directions. Key findings include the model's robustness in predicting IS acceptance behavior across different technologies and contexts, the importance of perceived usefulness (PU) and perceived ease of use (PEOU) as major variables, and the need for further research to incorporate more variables, explore boundary conditions, and investigate actual usage. The study also highlights the limitations of TAM, such as the overreliance on self-reported usage and the need for longitudinal studies. Finally, it suggests future research directions, including the integration of other theories and the exploration of new external variables.