Is the Technology Acceptance Model a Valid Model of User Satisfaction of Information Technology in Environments where Usage is Mandatory

The validity of the two models based on the extended Technology Acceptance Model (Venkatesh and Davies, 2000) in predicting user satisfaction of an incident reporting system in a mandated setting was tested using 84 employees from a large manufacturing company. The models differed in how the construct, subjective norm was represented. Although the results indicated that both models fitted the data, the anticipated relationship between subjective norms and user satisfaction was not supported. Furthermore, some of the antecedent factors did not predict perceived usefulness as anticipated.

[1]  A. Bandura.  Self-Efficacy: The Exercise of Control , 1997, Journal of Cognitive Psychotherapy.

[2]  William J. Doll,et al.  Developing a multidimensional measure of system-use in an organizational context , 1998, Inf. Manag..

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

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

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

[6]  Magid Igbaria,et al.  Personal Computing Acceptance Factors in Small Firms: A Structural Equation Model , 1997, MIS Q..

[7]  Fred D. Davis.  User Acceptance of Information Technology: System Characteristics, User Perceptions and Behavioral Impacts , 1993, Int. J. Man Mach. Stud..

[8]  Patrick Y. K. Chau,et al.  An Empirical Assessment of a Modified Technology Acceptance Model , 1996, J. Manag. Inf. Syst..

[9]  Magid Igbaria,et al.  IT acceptance in a less-developed country: a motivational factor perspective , 2002, Int. J. Inf. Manag..

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

[11]  Icek Ajzen,et al.  From Intentions to Actions: A Theory of Planned Behavior , 1985 .

[12]  Kieran Mathieson,et al.  Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior , 1991, Inf. Syst. Res..

[13]  Juhani Iivari,et al.  Why do individuals use computer technology? A Finnish case study , 1995, Inf. Manag..

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

[15]  Magid Igbaria,et al.  A Motivational Model of Microcomputer Usage , 1996, J. Manag. Inf. Syst..

[16]  Ritu Agarwal,et al.  A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology , 1998, Inf. Syst. Res..

[17]  Henri Barki,et al.  Explaining the Role of User Participation in Information System Use , 1994 .

[18]  Viswanath Venkatesh,et al.  Creation of Favorable User Perceptions: Exploring the Role of Intrinsic Motivation , 1999, MIS Q..

[19]  A. Bandura.  Social Foundations of Thought and Action: A Social Cognitive Theory , 1985 .

[20]  Amy W. Gatian.  Is user satisfaction a valid measure of system effectiveness? , 1994, Inf. Manag..

[21]  Ritu Agarwal,et al.  The Role of Innovation Characteristics and Perceived Voluntariness in the Acceptance of Information Technologies , 1997 .

[22]  I. Ajzen,et al.  Understanding Attitudes and Predicting Social Behavior , 1980 .

[23]  William J. Doll,et al.  The measurement of end-user computing satisfaction: theoretical and methodological issues , 1991 .

[24]  SzajnaBernadette.  Software evaluation and choice , 1994 .

[25]  Fred D. Davis,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1 , 1992 .

[26]  Rolph E. Anderson,et al.  Multivariate data analysis (4th ed.): with readings , 1995 .

[27]  Fred D. Davis,et al.  A critical assessment of potential measurement biases in the technology acceptance model: three experiments , 1996, Int. J. Hum. Comput. Stud..

[28]  Magid Igbaria,et al.  The effects of self-efficacy on computer usage , 1995 .

[29]  Bernadette Szajna,et al.  Software Evaluation and Choice: Predictive Validation of the Technology Acceptance Instrument , 1994, MIS Q..

[30]  Matthew K. O. Lee,et al.  A proposed model and measurement instrument for the formation of IS satisfaction: the case of end-user computing satisfaction , 2000, ICIS.

[31]  Albert L. Lederer,et al.  The technology acceptance model and the World Wide Web , 2000, Decis. Support Syst..

[32]  Peter Caputi,et al.  Issues in predicting and explaining usage behaviors with the technology acceptance model and the theory of planned behavior when usage is mandatory , 2000, ICIS.