The Emotional State of Technology Acceptance

Computer-phobic university students are easy to find today especially when it come to taking online courses. Affect has been shown to influence users’ perceptions of computers. Although self-reported computer anxiety has declined in the past decade, it continues to be a significant issue in higher education and online courses. More importantly, anxiety seems to be a critical variable in relation to student perceptions of online courses. A substantial amount of work has been done on computer anxiety and affect. In fact, the technology acceptance model (TAM) has been extensively used for such studies where affect and anxiety were considered as antecedents to perceived ease of use. However, few, if any, have investigated the interplay between the two constructs as they influence perceived ease of use and perceived usefulness towards using online systems for learning. In this study, the effects of affect and anxiety (together and alone) on perceptions of an online learning system are investigated. Results demonstrate the interplay that exists between affect and anxiety and their moderating roles on perceived ease of use and perceived usefulness. Interestingly, the results seem to suggest that affect and anxiety may exist simultaneously as two weights on each side of the TAM scale.

[1]  Raafat George Saadé,et al.  Web-Based Educational Information System for Enhanced Learning, EISEL: Student Assessment , 2003, J. Inf. Technol. Educ..

[2]  Scott D. Johnson,et al.  Comparative analysis of learner satisfaction and learning outcomes in online and face-to-face learning environments , 2000 .

[3]  J. Keller Motivational Design of Instruction , 1983 .

[4]  Juhani Iivari,et al.  User information satisfaction: IS implementability and effectiveness , 1994, Inf. Manag..

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

[6]  Mark J. Brosnan,et al.  The impact of computer anxiety and self-efficacy upon performance , 1998, J. Comput. Assist. Learn..

[7]  Robert D. Smith,et al.  Computer anxiety in management: myth or reality? , 1986, CACM.

[8]  R. Keeney,et al.  The Value of Internet Commerce to the Customer , 1999 .

[9]  Detmar W. Straub,et al.  Inexperience and experience with online stores: the importance of TAM and trust , 2003, IEEE Trans. Engineering Management.

[10]  I. Brown Individual and Technological Factors Affecting Perceived Ease of Use of Web‐based Learning Technologies in a Developing Country , 2002, Electron. J. Inf. Syst. Dev. Ctries..

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

[12]  Deborah Compeau,et al.  Social Cognitive Theory and Individual Reactions to Computing Technology: A Longitudinal Study , 1999, MIS Q..

[13]  Elena Karahanna,et al.  Time Flies When You're Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage , 2000, MIS Q..

[14]  Henry C. Lucas,et al.  Technology Use and Performance: A Field Study of Broker Workstations* , 1999 .

[15]  Nebraska symposium on motivation 1979: beliefs, attitudes, and values. , 1980, Nebraska Symposium on Motivation. Nebraska Symposium on Motivation.

[16]  Robert LaRose,et al.  Audiographic Telecourses for the Web: An Experiment , 2006, J. Comput. Mediat. Commun..

[17]  R. Jayasuriya,et al.  A review of the construct of computer experience , 1999 .

[18]  Mark Brosnan,et al.  Technophobia: The Psychological Impact of Information Technology , 1998 .

[19]  Charles M. Reigeluth,et al.  Instructional Design Theories and Models : An Overview of Their Current Status , 1983 .

[20]  Detmar W. Straub,et al.  Trust and TAM in Online Shopping: An Integrated Model , 2003, MIS Q..

[21]  Detmar W. Straub,et al.  Gender Differences in the Perception and Use of E-Mail: An Extension to the Technology Acceptance Model , 1997, MIS Q..

[22]  Raafat George Saadé,et al.  The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: an extension of the technology acceptance model , 2005, Inf. Manag..

[23]  T. Conlon The Internet Is Not a Panacea. , 1997 .

[24]  Edward L. Deci,et al.  Intrinsic Motivation and Self-Determination in Human Behavior , 1975, Perspectives in Social Psychology.

[25]  Gregory A. DeBourgh,et al.  Learner and instructional predictors of student satisfaction in a graduate nursing program taught via interactive video teleconferencing and World Wide Web/Internet , 1998 .

[26]  Henry C. Lucas,et al.  Implementation in a world of workstations and networks , 2000, Inf. Manag..

[27]  A. Colley,et al.  Effects of Gender Role Identity and Experience on Computer Attitude Components , 1994 .

[28]  R. Sitgreaves Psychometric theory (2nd ed.). , 1979 .

[29]  Per E. Pedersen,et al.  Usefulness and Self-Expressiveness: Extending TAM to Explain the Adoption of a Mobile Parking Service , 2003, Bled eConference.

[30]  Waiman Cheung,et al.  Determinants of the intention to use Internet/WWW at work: a confirmatory study , 2001, Inf. Manag..

[31]  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..

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

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

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

[35]  R. Vallerand Toward A Hierarchical Model of Intrinsic and Extrinsic Motivation , 1997 .