Prediction of Internet and World Wide Web usage at work: a test of an extended Triandis model

Abstract The Internet/World Wide Web (WWW) has significantly impacted every facet of operations in organizations. As information systems, including Decision Support Systems, are rapidly moving to the Internet platform to facilitate remote access and group cooperation, it is crucial to understand the adoption process of the Internet. This paper studies various factors affecting Internet/WWW usage in working environments. Previous studies on Internet or WWW usage have adopted the Technology Acceptance Model (TAM) as their research framework. As such, important factors, such as facilitating conditions and social factors, which we consider important in explaining the use of the Internet/WWW, were left out. Therefore, a more comprehensive theoretical model is constructed for this study by modifying the Triandis social psychological model based on the results of previous studies. Factor analysis and multiple regression were used to analyze data collected from 241 questionnaires. The results support our modified model. Facilitating conditions and social factors are confirmed as the two most important factors affecting Internet/WWW usage. Other significant factors include perceived near-term consequences and perceived complexity. All new paths that we have added to the original Triandis model are found to be significant. The proposed model should provide a valuable alternative theoretical basis for technology adoption studies in the future.

[1]  H C Triandis,et al.  Values, attitudes, and interpersonal behavior. , 1980, Nebraska Symposium on Motivation. Nebraska Symposium on Motivation.

[2]  Andrew Dillon,et al.  How User Perceptions Influence Software Use , 1997, IEEE Softw..

[3]  Jane M. Howell,et al.  Personal Computing: Toward a Conceptual Model of Utilization , 1991, MIS Q..

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

[5]  Louis Raymond,et al.  Determinants of EIS use: Testing a behavioral model, , 1995, Decis. Support Syst..

[6]  Michael H. Kutner Applied Linear Statistical Models , 1974 .

[7]  Michael G. Morris,et al.  User Acceptance of Information Technology: Theories and Models , 1996 .

[8]  Jane M. Howell,et al.  Influence of Experience on Personal Computer Utilization: Testing a Conceptual Model , 1994, J. Manag. Inf. Syst..

[9]  Daniel J. O'Keefe,et al.  Separability of Attitudinal and Normative Influences on Behavioral Intentions in the Fishbein-Ajzen Model , 1984 .

[10]  Albert L. Lederer,et al.  The role of ease of use, usefulness and attitude in the prediction of World Wide Web usage , 1998, SIGCPR '98.

[11]  Takeshi Kosaka,et al.  An effective architecture for Decision Support Systems , 1982, Inf. Manag..

[12]  Guy Paré,et al.  Discretionary use of personal computers by knowledge workers: testing of a social psychology theoretical model , 1995, Behav. Inf. Technol..

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

[14]  Donald T. Campbell,et al.  Citations do not solve problems. , 1992 .

[15]  Thompson S. H. Teo,et al.  Intrinsic and extrinsic motivation in Internet usage , 1999 .

[16]  M. Chang Predicting Unethical Behavior: A Comparison of the Theory of Reasoned Action and the Theory of Planned Behavior , 1998 .

[17]  Rolph E. Anderson,et al.  Multivariate Data Analysis with Readings , 1979 .

[18]  R. Vallerand,et al.  Ajzen and Fishbein's theory of reasoned action as applied to moral behavior: A confirmatory analysis. , 1992 .

[19]  R. Bagozzi,et al.  Assessing method variance in multitrait-multimethod matrices: The case of self-reported affect and perceptions at work. , 1990 .

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

[21]  E. Rogers Diffusion of Innovations , 1962 .

[22]  David Gefen,et al.  The impact of developer responsiveness on perceptions of usefulness and ease of use: an extension of the technology acceptance model , 1998, DATB.

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

[24]  Christine T. Kydd,et al.  Individual characteristics associated with World Wide Web use: an empirical study of playfulness and motivation , 1997, DATB.

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

[26]  E. Pedhazur Multiple Regression in Behavioral Research: Explanation and Prediction , 1982 .