Understanding the behavior changes in belief and attitude among experienced and inexperienced learning object users

Prior empirical studies in the implementation of general information technologies (IT) have revealed that IT adoption and usage were determined by user beliefs and attitudes. However, little is known about how user beliefs and attitudes form and change over time. To address these issues, this paper reports a study of 481 inexperienced and 120 experienced potential users on learning objects. Technology acceptance model's constructs were used to conduct a longitudinal study across three phases (introduction, training and direct-use experience) to examine the formation and the changes in users' beliefs and behavioral intention to use learning objects over time. The results showed that the rates of changes in users' beliefs and behavioral intention toward learning objects usage were time-variant and were more predominant during the early stage (introduction to training) of learning objects usage than in the later stages (training to direct-use experience). The study confirmed that initial exposure through introduction and training was effective in improving inexperienced users' beliefs and intentions to use learning objects. It also helped to reduce the belief and intention gaps that existed between experienced and inexperienced users. In addition, the influence of initial introduction and training on users' beliefs and perceptions was sustained over time, thus further indicating their importance.

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

[2]  Debra L. Nelson,et al.  Individual Adjustment to Information-Driven Technologies: A Critical Review , 1990, MIS Q..

[3]  Anol Bhattacherjee,et al.  Understanding Changes in Belief and Attitude Toward Information Technology Usage: A Theoretical Model and Longitudinal Test , 2004, MIS Q..

[4]  Magid Igbaria,et al.  Microcomputer applications: An empirical look at usage , 1989, Inf. Manag..

[5]  Richard W. Scamell,et al.  The Effects of Information System User Expectations on Their Performance and Perceptions , 1993, MIS Q..

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

[7]  Ritu Agarwal,et al.  Are Individual Differences Germane to the Acceptance of New Information Technologies , 1999 .

[8]  Kenneth L. Kraemer,et al.  The Usefulness of Computer-Based Information to Public Managers , 1993, MIS Q..

[9]  L. Cronbach Coefficient alpha and the internal structure of tests , 1951 .

[10]  Suzanne Rivard,et al.  Factors of success for end-user computing , 1988, CACM.

[11]  Qingxiong Ma,et al.  The Technology Acceptance Model: A Meta-Analysis of Empirical Findings , 2004, J. Organ. End User Comput..

[12]  Viswanath Venkatesh,et al.  Why Don't Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior , 2000, MIS Q..

[13]  Gordon B. Davis,et al.  Testing the Determinants of Microcomputer Usage via a Structural Equation Model , 1995, J. Manag. Inf. Syst..

[14]  L. Raymond The Impact of Computer Training on the Attitudes and Usage Behavior of Small Business Managers , 1988 .

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

[16]  R. Woodman,et al.  Organizational change and information technology: Managing on the edge of cyberspace , 1994 .

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

[18]  William H. DeLone Determinants of Success for Computer Usage in Small Business , 1988, MIS Q..

[19]  Kathleen Burnett,et al.  User acceptance of web-based subscription databases: extending the technology acceptance model , 2005 .

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

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

[22]  Anol Bhattacherjee,et al.  Understanding Information Systems Continuance: An Expectation-Confirmation Model , 2001, MIS Q..

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

[24]  Bernadette Szajna,et al.  Empirical evaluation of the revised technology acceptance model , 1996 .

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

[26]  Fred D. Davis,et al.  A Model of the Antecedents of Perceived Ease of Use: Development and Test† , 1996 .

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

[28]  I. Ajzen The theory of planned behavior , 1991 .

[29]  Detmar W. Straub,et al.  Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs , 1999, MIS Q..

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