IDT-TAM integrated model for IT adoption

Two classical theories, the technology acceptance model (TAM) and the innovation diffusion theory (IDT), were integrated into a model for analyzing individual information technology (IT) adoption behavior. In this IDT-TAM framework, the perceived characteristics of innovation are categorized as subjective evaluation, objective conditions, and interaction factors. The cognitive mechanisms that drive user IT acceptance are analyzed based on the patterns through which these characteristics influence individual user IT adoption behavior. The model was tested using an empirical survey regarding the adoption and use of e-mail in China. Results from a structural equation model analysis illustrate that the model provides meaningful insights for understanding, explaining, and predicting the IT adoption behavior of Chinese users.

[1]  Izak Benbasat,et al.  Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..

[2]  Li Ting How do social norms influence the technology acceptance behavior: Mechanism research and empirical validation , 2005 .

[3]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..

[4]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[5]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[6]  John Ingham,et al.  Why do people use information technology? A critical review of the technology acceptance model , 2003, Inf. Manag..

[7]  Mark Vandenbosch,et al.  Research Report: Richness Versus Parsimony in Modeling Technology Adoption Decisions - Understanding Merchant Adoption of a Smart Card-Based Payment System , 2001, Inf. Syst. Res..

[8]  Wynne W. Chin,et al.  A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic - Mail Emotion/Adoption Study , 2003, Inf. Syst. Res..

[9]  Detmar W. Straub,et al.  Testing the technology acceptance model across cultures: A three country study , 1997, Inf. Manag..

[10]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[11]  Ronald M. Lee,et al.  A logic programming framework for planning and simulation , 1986 .

[12]  Barbara H Wixom,et al.  A Theoretical Integration of User Satisfaction and Technology Acceptance , 2005, Inf. Syst. Res..

[13]  Venkataraman Ramesh,et al.  Web and Wireless Site Usability: Understanding Differences and Modeling Use , 2006, MIS Q..

[14]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[15]  E. Rogers,et al.  Diffusion of Innovations , 1964 .

[16]  William J. Doll,et al.  A multi-group analysis of structural invariance: an illustration using the technology acceptance model , 2005, Inf. Manag..

[17]  Detmar W. Straub,et al.  A Practical Guide To Factorial Validity Using PLS-Graph: Tutorial And Annotated Example , 2005, Commun. Assoc. Inf. Syst..

[18]  Peter A. Todd,et al.  Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication , 1992, MIS Q..