The influence of external variables on information technology usage behavior

The Technology Acceptance Model (TAM) predicts the user acceptance of end-user applications by specifying causal relationships among external variables, belief and attitudinal constructs, and actual usage behavior. Although the perceived usefulness and perceived ease of use constructs have received much recent attention in the MIS literature, few studies have attempted to validate the full TAM model with all of the original constructs. Furthermore, the many published TAM studies are characterized by the use of different measurement factors to assess the belief constructs. The study validates TAM using the original constructs and assesses the effects of TAM variables on two measures of usage behavior. Results are largely consistent with previous TAM studies. However, the impact of external variables is not fully mediated by the TAM constructs.

[1]  Edward L. Thorndike,et al.  The influence of individual differences. , 1929 .

[2]  B. Muthén,et al.  Assessing Reliability and Stability in Panel Models , 1977 .

[3]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[4]  A. Eagly,et al.  Attitudes and opinions. , 1978, Annual review of psychology.

[5]  Henry C. Lucas,et al.  Empirical Evidence for a Descriptive Model of Implementation , 1978, MIS Q..

[6]  R. Zmud.  INDIVIDUAL DIFFERENCES AND MIS SUCCESS: A REVIEW OF THE EMPIRICAL LITERATURE* , 1979 .

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

[8]  Izak Benbasat,et al.  The Management Information Systems Area: Problems, Challenges and Opportunities , 1980, ICIS.

[9]  Peter G. W. Keen,et al.  Mis Research: Reference disciplines and a Cumulative Tradition , 1980, ICIS.

[10]  A. Raub.  CORRELATES OF COMPUTER ANXIETY IN COLLEGE STUDENTS , 1981 .

[11]  Mary Beth Rosson,et al.  Patterns of experience in text editing , 1983, CHI '83.

[12]  Sammy W. Pearson,et al.  Development of a Tool for Measuring and Analyzing Computer User Satisfaction , 1983 .

[13]  Blake Ives,et al.  The measurement of user information satisfaction , 1983, CACM.

[14]  Blake Ives,et al.  User Involvement and MIS Success: A Review of Research , 1984 .

[15]  R C Williges,et al.  Information Retrieval Strategies File-Search Environment , 1984, Human factors.

[16]  Gerardine DeSanctis,et al.  ICIS Paper: Methodological Issues in Experimental IS Research: Experiences and Recommendations , 1985, MIS Q..

[17]  John R. Anderson,et al.  The Transfer of Text-Editing Skill , 1985, Int. J. Man Mach. Stud..

[18]  Fred D. Davis.  A technology acceptance model for empirically testing new end-user information systems : theory and results , 1985 .

[19]  Louis M. Gomez,et al.  A Cognitive Analysis of Database Query Production , 1986 .

[20]  Louis M. Gomez,et al.  Learning to Use a Text Editor: Some Learner Characteristics that Predict Success , 1987, SGCH.

[21]  William J. Doll,et al.  The Measurement of End-User Computing Satisfaction , 1988, MIS Q..

[22]  F. Dambrot,et al.  Psychology of Computer Use: II. Sex Differences in Prediction of Course Grades in a Computer Language Course , 1988 .

[23]  Ronald A. Howard,et al.  Decision analysis: practice and promise , 1988 .

[24]  T. Levin,et al.  Effect of Gender and Computer Experience on Attitudes toward Computers , 1989 .

[25]  Karl G. Jöreskog,et al.  Lisrel 8: User's Reference Guide , 1997 .

[26]  Sara J. Czaja,et al.  Age related differences in learning to use a text-editing system , 1989 .

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

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

[29]  Magid Igbaria,et al.  A Path Analytic Study of Individual Characteristics, Computer Anxiety and Attitudes toward Microcomputers , 1989 .

[30]  Donna F. Davis,et al.  The Effect of Training Techniques and Personal Characteristics on Training End Users of Information Systems , 1990, J. Manag. Inf. Syst..

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

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

[33]  R. Kelly Rainer,et al.  The Influence of Individual Differences on Skill in End-User Computing , 1992, J. Manag. Inf. Syst..

[34]  Ephraim R. McLean,et al.  Information Systems Success: The Quest for the Dependent Variable , 1992, Inf. Syst. Res..

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

[36]  Timothy Paul Cronan,et al.  On the Test-Retest Reliability of Perceived Usefulness and Perceived Ease of Use Scales , 1993 .

[37]  Albert H. Segars,et al.  Re-examining perceived ease of use and usefulness , 1993 .

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

[39]  Girish H. Subramanian,et al.  A Replication of Perceived Usefulness and Perceived Ease of Use Measurement , 1994 .

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

[41]  Fred D. Davis,et al.  Modeling the Determinants of Perceived Ease of Use , 1994, ICIS.

[42]  Fred D. Davis,et al.  Measuring user acceptance of emerging information technologies: an assessment of possible method biases , 1995, Proceedings of the Twenty-Eighth Annual Hawaii International Conference on System Sciences.

[43]  M. Lynn.  Hawaii International Conference on System Sciences , 1996 .

[44]  C. J. McGrath,et al.  Effect of exchange rate return on volatility spill-over across trading regions , 2012 .