Training opportunities, technology acceptance and job satisfaction: A study of Italian organizations

Purpose – The purpose of this research is to study the role of the opportunity to receive job training in enhancing people's willingness to accept information technologies (IT) and in achieving employee satisfaction. The study aims to consider training opportunities as a predictor of IT self-competence, TAM model constructs and job satisfaction. Design/methodology/approach – Structural equation models are used with a sample of 497 Italian workers who filled in a questionnaire. Findings – The results show a good fit between hypothesis and empirical data. Moderator roles of individual and contextual variables on training opportunities effects were studied. Practical implications – The practical implications of this study relate to the role played by training opportunities in the IT acceptance process and in creating job satisfaction. Originality/value – The most innovative finding pertains to moderator roles of individual and contextual variables on training opportunities effects.

[1]  Fred D. Davis,et al.  A critical assessment of potential measurement biases in the technology acceptance model: three experiments , 1996, Int. J. Hum. Comput. Stud..

[2]  V. Venkatesh,et al.  AGE DIFFERENCES IN TECHNOLOGY ADOPTION DECISIONS: IMPLICATIONS FOR A CHANGING WORK FORCE , 2000 .

[3]  S. Lefrançois,et al.  Explaining Client Satisfaction with an Employee Assistance Program , 1999 .

[4]  P. Warr,et al.  Correlates and perceived outcomes of four types of employee development activity. , 1997, The Journal of applied psychology.

[5]  R. L. Dipboye,et al.  Effects of Trainer Reputation and Trainees' Need for Cognition on Training Outcomes , 2006, The Journal of psychology.

[6]  J. P. Wanous,et al.  Overall job satisfaction: how good are single-item measures? , 1997, The Journal of applied psychology.

[7]  Scott B. MacKenzie,et al.  Common method biases in behavioral research: a critical review of the literature and recommended remedies. , 2003, The Journal of applied psychology.

[8]  Viswanath Venkatesh,et al.  Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology , 2012, MIS Q..

[9]  Richard L. Daft,et al.  Measures of Perrow's Work Unit Technology: An Empirical Assessment and a New Scale , 1983 .

[10]  E. Brynjolfsson,et al.  Beyond Computation: Information Technology, Organizational Transformation and Business Performance , 2000 .

[11]  Tomas Escobar-Rodriguez,et al.  The acceptance of Moodle technology by business administration students , 2012, Comput. Educ..

[12]  M. Chiu,et al.  Effects on teachers' self-efficacy and job satisfaction: Teacher gender, years of experience, and job stress. , 2010 .

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

[14]  I. Ajzen,et al.  Attitudes toward objects as predictors of sin-gle and multiple behavioral criteria , 1974 .

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

[16]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .

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

[18]  Anol Bhattacherjee,et al.  Explaining information technology usage: A test of competing models☆ , 2008 .

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

[20]  Hua Wang,et al.  Understanding Online Community Participation , 2012, Commun. Res..

[21]  W. Swann,et al.  PERSONALITY AND SOCIAL PSYCHOLOG Y BULLETIN Bosson, Swann / SELF-LIKING AND SELF-COMPETENCE Self-Liking, Self-Competence, and the Quest for Self-Verification , 2022 .

[22]  Titus Oshagbemi,et al.  Overall job satisfaction: how good are single versus multiple‐item measures? , 1999 .

[23]  R. W. Rogers,et al.  The Self-Efficacy Scale: Construction and Validation , 1982 .

[24]  M. Nagy Using a single-item approach to measure facet job satisfaction , 2002 .

[25]  Erik M. van Raaij,et al.  The acceptance and use of a virtual learning environment in China , 2008, Comput. Educ..

[26]  Viswanath Venkatesh,et al.  Technology Acceptance Model 3 and a Research Agenda on Interventions , 2008, Decis. Sci..

[27]  A. Bandura Self-efficacy: toward a unifying theory of behavioral change. , 1977, Psychological review.

[28]  Viswanath Venkatesh,et al.  Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model , 2000, Inf. Syst. Res..

[29]  Winston Bennett,et al.  Effectiveness of training in organizations: a meta-analysis of design and evaluation features. , 2003, The Journal of applied psychology.

[30]  Gareth R. Jones,et al.  The role of information technology in the organization: a review, model, and assessment , 2001 .

[31]  Fred H. Strønen,et al.  The trickiness of IT enhanced competence management , 2008 .

[32]  H. Markus,et al.  The role of the self-system in competence. , 1990 .

[33]  M. Mallon,et al.  Reliability and Validity of a Single-Item Measure of Job Satisfaction , 2005, American journal of health promotion : AJHP.

[34]  M. Browne,et al.  Alternative Ways of Assessing Model Fit , 1992 .

[35]  E. Brynjolfsson,et al.  Paradox Lost? Firm-Level Evidence on the Returns to Information Systems Spending , 1996 .

[36]  Albert L. Lederer,et al.  A Meta-Analysis of the Role of Environment-Based Voluntariness in Information Technology Acceptance , 2009, MIS Q..

[37]  Eija Korpelainen,et al.  Employees' Choices in Learning How to Use Information and Communication Technology Systems at Work: Strategies and Approaches , 2010 .

[38]  Jordan B. Peterson,et al.  Self-liking and self-competence separate self-evaluation from self-deception: associations with personality, ability, and achievement. , 2006, Journal of Personality.

[39]  Tracey E. Rizzuto,et al.  A multidisciplinary meta-analysis of human barriers to technology implementation. , 2007 .

[40]  Venkatesh,et al.  A Longitudinal Field Investigation of Gender Differences in Individual Technology Adoption Decision-Making Processes. , 2000, Organizational behavior and human decision processes.

[41]  Steven Zeltmann,et al.  The Role of Competence Level in the Self-Efficacy - Skills Relationship: An Empirical Examination of the Skill Acquisition Process and its Implications for Information Technology Training , 2009 .

[42]  Fred D. Davis,et al.  Improving computer skill training: behavior modeling, symbolic mental rehearsal, and the role of knowledge structures. , 2004, The Journal of applied psychology.