Usage and impact of technology enabled job learning

Individuals use technology to experiment with new ways of carrying out their tasks and in doing so they learn more about their jobs. The current study examines the role of technology enabled job learning as a key component in the complex relationship between information systems use and technology outcomes. Data from 308 end-users were analyzed to evaluate the relationships between system use and technology enabled job learning, and technology enabled job learning and technology outcomes. Technology enabled job learning was conceptualized in terms of how computer applications helped individuals learn and better perform their jobs. System use was conceptualized in terms of decision support, work integration, and customer service. Technology outcomes were conceptualized in terms of management control, task innovation, task productivity, and customer satisfaction. Results suggest that systems use has a significant, positive effect on job learning, and that job learning has a significant, positive effect on technology outcomes. Post hoc analyses were then conducted to examine the potential mediating role of job learning between systems use and technology outcomes. The findings from this research lead to a greater understanding of how patterns of systems use influence organizationally relevant outcomes through technology-enabled job learning.

[1]  Louis A. Lefebvre,et al.  Technology and the creation of value in services: a conceptual model , 1993 .

[2]  N. Melone A theoretical assessment of the user-satisfaction construct in information systems research , 1990 .

[3]  J. Alberto Espinosa,et al.  Learning from Experience in Software Development: A Multilevel Analysis , 2007, Manag. Sci..

[4]  Detmar W. Straub,et al.  Reconceptualizing System Usage: An Approach and Empirical Test , 2006, Inf. Syst. Res..

[5]  Varun Grover,et al.  Strategic group analysis: A methodological approach for exploring the industry level impact of information technology , 1994 .

[6]  Ephraim R. McLean,et al.  Information Systems Success: The Quest for the Dependent Variable , 1992, Inf. Syst. Res..

[7]  Ann S. Marucheck,et al.  A Study of the Impact of an Integrated Information Technology on the Time Utilization of Information Workers , 1992 .

[8]  Wynne W. Chin Issues and Opinion on Structural Equation Modeling by , 2009 .

[9]  Mo Adam Mahmood,et al.  A Comprehensive Model for Measuring the Potential Impact of Information Technology on Organizational Strategic Variables , 1991 .

[10]  Adamantios Diamantopoulos,et al.  Advancing formative measurement models , 2008 .

[11]  Gordon B. Davis,et al.  A Framework for Research in Computer-Based Management Information Systems , 1980 .

[12]  Erik Brynjolfsson,et al.  Does Information Technology Lead to Smaller Firms , 2011 .

[13]  W. Orlikowski Using Technology and Constituting Structures: A Practice Lens for Studying Technology in Organizations , 2000 .

[14]  W. Doll,et al.  The development of a tool for measuring the perceived impact of information technology on work , 1999 .

[15]  Robert E. Ployhart,et al.  Learning by Doing Something Else: Variation, Relatedness, and the Learning Curve , 2003, Manag. Sci..

[16]  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.

[17]  Terri A. Scandura,et al.  An Investigation of Personal Learning in Mentoring Relationships: Content, Antecedents, and Consequences , 2002 .

[18]  Patricia Milne,et al.  A Model for Work-Based Learning , 2005 .

[19]  Scott Hamilton,et al.  Evaluating Information Systems Effectiveness - Part I: Comparing Evaluation Approaches , 1981, MIS Q..

[20]  T. R. Davis Information technology and white-collar productivity , 1991 .

[21]  Carl Bereiter,et al.  Education and Mind in the Knowledge Age , 2002 .

[22]  Cheryl Burke Jarvis,et al.  A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research , 2003 .

[23]  Robert W. Fairlie,et al.  The Personal Computer and Entrepreneurship , 2006, Manag. Sci..

[24]  Gary Garrison,et al.  Research Note - A Model of Conflict, Leadership, and Performance in Virtual Teams , 2008, Inf. Syst. Res..

[25]  Marie-Claude Boudreau,et al.  Accounting for the Contradictory Organizational Consequences of Information Technology: Theoretical Directions and Methodological Implications , 1999, Inf. Syst. Res..

[26]  Rajiv Kohli,et al.  Performance Impacts of Information Technology: Is Actual Usage the Missing Link? , 2003, Manag. Sci..

[27]  A. Diamantopoulos Formative indicators: Introduction to the special issue , 2008 .

[28]  Larry Hirschhorn,et al.  PRODUCTIVITY, TECHNOLOGY AND THE DECLINE OF THE AUTONOMOUS PROFESSIONAL , 1985 .

[29]  Wanda J. Orlikowski,et al.  Information Technology and the Structuring of Organizations , 2011 .

[30]  R. Zmud,et al.  Information technology implementation research: a technological diffusion approach , 1990 .

[31]  D. A. Kenny,et al.  Data analysis in social psychology. , 1998 .

[32]  J. March Exploration and exploitation in organizational learning , 1991, STUDI ORGANIZZATIVI.

[33]  S. West,et al.  A comparison of methods to test mediation and other intervening variable effects. , 2002, Psychological methods.

[34]  P. Shrout,et al.  Mediation in experimental and nonexperimental studies: new procedures and recommendations. , 2002, Psychological methods.

[35]  Scott Hamilton,et al.  Evaluating Information Systems Effectiveness - Part II: Comparing Evaluator Viewpoints , 1981, MIS Q..

[36]  J. Harvey,et al.  Service quality and service productivity management practices , 1996 .

[37]  Leon A. Kappelman,et al.  A Comprehensive Model for Assessing the Quality and Productivity of the Information Systems Function: Toward a Theory for Information Systems Assessment , 1997 .

[38]  Dale Goodhue,et al.  Task-Technology Fit and Individual Performance , 1995, MIS Q..

[39]  William J. Doll,et al.  Developing a multidimensional measure of system-use in an organizational context , 1998, Inf. Manag..

[40]  E. Morrison,et al.  Newcomer information seeking: Exploring types, modes, sources, and outcomes. , 1993 .

[41]  L ChervanyNorman,et al.  Evaluating information systems effectiveness - part ii: , 1981 .

[42]  P. Shrout,et al.  Mediation in experimental and nonexperimental studies: new procedures and recommendations. , 2002, Psychological methods.

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

[44]  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.

[45]  William J. Doll,et al.  The measurement of end-user computing satisfaction: theoretical and methodological issues , 1991 .

[46]  Ryad Titah,et al.  Information System Use - Related Activity: An Expanded Behavioral Conceptualization of Individual-Level Information System Use , 2007, Inf. Syst. Res..

[47]  Wanda J. Orlikowski,et al.  A Practice Perspective on Technology-Mediated Network Relations: The Use of Internet-Based Self-Serve Technologies , 2004, Inf. Syst. Res..

[48]  Peter B. Seddon A Respecification and Extension of the DeLone and McLean Model of IS Success , 1997, Inf. Syst. Res..

[49]  A. Pinsonneault,et al.  Middle management downsizing: an empirical investigation of the impact of information technology , 1997 .

[50]  A C C Gibbs,et al.  Data Analysis , 2009, Encyclopedia of Database Systems.

[51]  Shoshana Zuboff,et al.  In the Age of the Smart Machine: The Future of Work and Power , 1989 .

[52]  Geoff Walsham,et al.  Electronic Trading and Work Transformation in the London Insurance Market , 1999, Inf. Syst. Res..

[53]  H. Braverman Labor and Monopoly Capital , 1974 .

[54]  Wanda J. Orlikowski,et al.  Improvising Organizational Transformation Over Time: A Situated Change Perspective , 1996, Inf. Syst. Res..

[55]  Gerrit van Bruggen,et al.  DSS Effectiveness in Marketing Resource Allocation Decisions: Reality vs. Perception , 2004, Inf. Syst. Res..

[56]  Susan J. Winter,et al.  The Role of IT in the Transformation of Work: A Comparison of Post-Industrial, Industrial, and Proto-Industrial Organization , 1996, Inf. Syst. Res..

[57]  Bernadette Szajna,et al.  Determining information system usage: Some issues and examples , 1993, Inf. Manag..

[58]  Vijay Sethi,et al.  Development of measures to assess the extent to which an information technology application provides competitive advantage , 1994 .

[59]  Mark A. Fuller,et al.  Formative Measurement and Academic Research: In Search of Measurement Theory , 2011 .

[60]  M. Sobel Asymptotic Confidence Intervals for Indirect Effects in Structural Equation Models , 1982 .

[61]  Geoff Walsham,et al.  Representations and actions: the transformation of work practices with IT use , 2005, Inf. Organ..

[62]  Rajiv Kohli,et al.  Measuring Information Technology Payoff: A Meta - Analysis of Structural Variables in Firm - Level Empirical Research , 2003, Inf. Syst. Res..

[63]  Yolande E. Chan IT Value: The Great Divide Between Qualitative and Quantitative and Individual and Organizational Measures , 2000, J. Manag. Inf. Syst..

[64]  Guy Paré,et al.  Re-examining the causal structure of information technology impact research , 2007, Eur. J. Inf. Syst..

[65]  Richard J. Boland,et al.  Knowledge management technology and the reproduction of knowledge work practices , 2000, J. Strateg. Inf. Syst..

[66]  Mark A. Fuller,et al.  Clarifying the Use of Formative Measurement in the IS Discipline: The Case of Computer Self-Efficacy , 2008, J. Assoc. Inf. Syst..

[67]  Jerry Cha-Jan Chang,et al.  Identifying issues in customer relationship management at Merck-Medco , 2006, Decis. Support Syst..

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

[69]  P. Ein-Dor,et al.  Organizational Context and the Success of Management Information Systems , 1978 .

[70]  Detmar W. Straub,et al.  A Practical Guide To Factorial Validity Using PLS-Graph: Tutorial And Annotated Example , 2005, Commun. Assoc. Inf. Syst..

[71]  Mark A. Fuller,et al.  Formative vs. Reflective Measurement: Comment on Marakas, Johnson, and Clay (2007) , 2008, J. Assoc. Inf. Syst..

[72]  R. Long The Impact of New Office Information Technology on Job Quality of Female and Male Employees , 1993 .

[73]  Eli Jones,et al.  High Touch Through High Tech: The Impact of Salesperson Technology Usage on Sales Performance via Mediating Mechanisms , 2008, Manag. Sci..

[74]  D. A. Kenny,et al.  Process Analysis , 1981 .

[75]  Kenneth L. Kraemer,et al.  The Impacts of Computer Technology on the Worklife of Information Workers , 1990 .

[76]  Ángel L. Meroño-Cerdán,et al.  Information technology and learning: Their relationship and impact on organisational performance in small businesses , 2006, Int. J. Inf. Manag..

[77]  Jayashankar M. Swaminathan,et al.  A Matter of Balance: Specialization, Task Variety, and Individual Learning in a Software Maintenance Environment , 2009, Manag. Sci..

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

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

[80]  J. Wilcox,et al.  Reconsidering formative measurement. , 2007, Psychological methods.