Examining the Impact of Training in the Unified Theory of Acceptance and Use of Technology

ABSTRACT This research identifies, examines, and presents an empirical evaluation of the existing technology acceptance constructs as they relate to end-user participation in training programs. The analysis of technology acceptance constructs and their fit with the existing training paradigms suggests a significant positive correlation between training reactions and behavioral intention to use information technology. In addition, an extended modeling framework that includes a training reaction construct as an intermediary factor between the training paradigms and the existing technology acceptance constructs, as reflected in the UTAUT model, is introduced and evaluated. We find that the relationship between training reactions and behavioral intentions to use were partially mediated by facilitating conditions.

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

[2]  Olivia R. Liu Sheng,et al.  Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology , 1999, J. Manag. Inf. Syst..

[3]  S. Goldfinch,et al.  Pessimism, Computer Failure, and Information Systems Development in the Public Sector , 2007 .

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

[5]  Kimberly A. Lawless,et al.  Training Groups of End Users: Examining Group Interactions in a Computer-Based Learning Environment , 2006, J. Comput. Inf. Syst..

[6]  A. Bandura.  Social Foundations of Thought and Action: A Social Cognitive Theory , 1985 .

[7]  J. Colquitt,et al.  Toward an integrative theory of training motivation: a meta-analytic path analysis of 20 years of research. , 2000, The Journal of applied psychology.

[8]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[9]  E. Rogers,et al.  Diffusion of innovations , 1964, Encyclopedia of Sport Management.

[10]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[11]  Janet H. Marler,et al.  A Model of Employee Self-Service Technology Acceptance , 2005 .

[12]  Rocco J. Perla,et al.  Ten Common Misunderstandings, Misconceptions, Persistent Myths and Urban Legends about Likert Scales and Likert Response Formats and their Antidotes , 2007 .

[13]  Judy E. Scott,et al.  Managing risks in enterprise systems implementations , 2002, CACM.

[14]  A. Tversky,et al.  Prospect theory: an analysis of decision under risk — Source link , 2007 .

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

[16]  Winston Bennett,et al.  A META-ANALYSIS OF THE RELATIONS AMONG TRAINING CRITERIA , 1997 .

[17]  Blair H. Sheppard,et al.  The Theory of Reasoned Action: A Meta-Analysis of Past Research with Recommendations for Modifications and Future Research , 1988 .

[18]  Edward G. Carmines,et al.  Reliability and Validity Assessment , 1979 .

[19]  Fred Niederman,et al.  Information Systems Management Issues for the 1990s , 1991, MIS Q..

[20]  Robert J. Mills,et al.  The Role Of End-User Training In Technology Acceptance , 2011, BIS 2011.

[21]  C. Reigeluth.  Instructional-Design Theories and Models , 1999 .

[22]  M. David Merrill,et al.  First principles of instruction , 2012 .

[23]  Darren Dalcher,et al.  Introduction: Avoiding IS/IT Implementation Failure , 2003, Technol. Anal. Strateg. Manag..

[24]  James C. Wetherbe,et al.  Key Issues in Information Systems Management: 1994-95 SIM Delphi Results , 1996, MIS Q..

[25]  Sirkka L. Jarvenpaa,et al.  The Use of Information Technology to Enhance Management School Education: A Theoretical View , 1995, MIS Q..

[26]  Marilyn E. Gist,et al.  EFFECTS OF ALTERNATIVE TRAINING METHODS ON SELF-EFFICACY AND PERFORMANCE IN COMPUTER SOFTWARE TRAINING , 1989 .

[27]  D. A. Kenny,et al.  The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. , 1986, Journal of personality and social psychology.

[28]  Janet H. Marler,et al.  Training and Effective Employee Information Technology Use , 2006 .

[29]  Carol Saunders,et al.  Computerspeak: Message Content and Perceived Appropriateness in an Educational Setting , 1993 .

[30]  George Alliger,et al.  Who's Afraid of Level 4 Evaluation? A Practical Approach. , 1993 .

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

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

[33]  Wynne W. Chin,et al.  A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic - Mail Emotion/Adoption Study , 2003, Inf. Syst. Res..

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

[35]  Patricia Carlson,et al.  A Review of MIS Research and Disciplinary Development , 1992, J. Manag. Inf. Syst..

[36]  Ritu Agarwal,et al.  Training experiences and usage intentions: a field study of a graphical user interface , 1996, Int. J. Hum. Comput. Stud..

[37]  G. Glass,et al.  Consequences of Failure to Meet Assumptions Underlying the Fixed Effects Analyses of Variance and Covariance , 1972 .

[38]  James H. Dulebohn.  7. Information technology implementation: The need for compensation system congruency , 2003 .

[39]  James C. Wetherbe,et al.  Key issues in information systems management , 1987 .

[40]  Marko Sarstedt,et al.  Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research , 2014 .

[41]  M. Lynne Markus,et al.  If we build it, they will come: Designing information systems that people want to use , 1994 .

[42]  A. Tversky,et al.  Prospect theory: analysis of decision under risk , 1979 .

[43]  B. Muthén,et al.  Applying Multigroup Confirmatory Factor Models for Continuous Outcomes to Likert Scale Data Complicates Meaningful Group Comparisons , 2004 .

[44]  Laurie J. Bassi.  The Top Ten Trends. , 1996 .

[45]  Darren George,et al.  SPSS for Windows Step by Step: A Simple Guide and Reference , 1998 .