Information technology adoption: evidence from a voice mail introduction

The theory of planned behavior was used to model voice mail adoption for empirical study. The theory of planned behavior postulates that adoption intentions are formed by a potential user's attitudes, subjective norms, and perceived behavior control. The research focuses on the role of perceived behavioral control which has received relatively little attention in previous studies. A user support measure is introduced as one of the factors determining perceived behavioral control. Ease of use, typically thought to influence a user's Attitude, is alternatively modeled as influencing a user's perceived behavioral control. Empirical results indicated that both support and ease of use have a significant influence upon perceived behavioral control. As predicted by the theory of planned behavior, attitude, subjective norms, and perceived behavioral control were significant determinants of adoption intentions.

[1]  I. Ajzen,et al.  Prediction of goal directed behaviour: Attitudes, intentions and perceived behavioural control , 1986 .

[2]  Blake Ives,et al.  An empirical study of the impact of user involvement on system usage and information satisfaction , 1986, CACM.

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

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

[5]  Bruce Christie,et al.  Face to File Communication: A Psychological Approach to Information Systems , 1981 .

[6]  Ron C. Mittelhammer,et al.  Introduction to the Theory and Practice of Econometrics , 1988 .

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

[8]  E. B. Swanson,et al.  Measuring user attitudes in MIS research: a review , 1982 .

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

[10]  James C. Wetherbe,et al.  The Adoption of Spreadsheet Software: Testing Innovation Diffusion Theory in the Context of End-User Computing , 1990, Inf. Syst. Res..

[11]  G. P. Feeley.  Montana , 1897, The Journal of comparative medicine and veterinary archives.

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

[13]  Gerardine De Sanctis,et al.  Expectancy Theory as an Explanation of Voluntary Use of a Decision-Support System: , 1983 .

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

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

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

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

[18]  A. M. Harrell,et al.  An Application of Expectancy Theory to Explain a Manager's Intention to Use a Decision Support System , 1994 .

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

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

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

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

[23]  Izak Benbasat,et al.  An Investigation of the Effectiveness of Color and Graphical Information Presentation Under Varying Time Constraints , 1986, MIS Q..

[24]  Ananth Srinivasan,et al.  Alternative Measures of Systems Effectiveness: Associations and Implications , 1985, MIS Q..