A Technology Commitment Model of Post-Adoption Behavior

Every year, individuals and organizations end up adopting licensing many competing software products. Yet, over time, much of the adopted software remains unused because users forgo the use of one software product for another adopted alternative. Although much research in the IS field has examined initial IS adoption, less is known about such post-adoption behavior. This article argues that a sense of "technology commitment" to one technology over other adopted alternatives is key to sustained post-adoption use intentions. By forwarding a technology commitment model, this article investigates the antecedents of technology commitment and its consequent effects on IS continuance. In the model, the article also examines how technological inertia moderates IS continuance intentions. Gathering empirical evidence from IS continuance intentions related to Webmail services, findings from the study offer interesting insights into the mechanics of continuance.

[1]  Paul Darbyshire,et al.  Building an Online Undergraduate Module from a Graduate Module: A Case Study , 2006, J. Cases Inf. Technol..

[2]  John P. Meyer,et al.  A three-component conceptualization of organizational commitment , 1991 .

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

[4]  Dirk Van den Poel,et al.  Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting , 2005, Eur. J. Oper. Res..

[5]  Dennis F. Galletta,et al.  A Multidimensional Commitment Model of Volitional Systems Adoption and Usage Behavior , 2005, J. Manag. Inf. Syst..

[6]  Patrick Y. K. Chau,et al.  Understanding Individual Adoption of Instant Messaging: An Empirical Investigation , 2005, J. Assoc. Inf. Syst..

[7]  Moez Limayem,et al.  Understanding information systems continuance: The case of Internet-based learning technologies , 2008, Inf. Manag..

[8]  Mehdi Khosrow-Pour,et al.  Printed at: , 2011 .

[9]  John P. Meyer,et al.  Commitment in the Workplace: Theory, Research, and Application , 1997 .

[10]  Moez Limayem,et al.  How Habit Limits the Predictive Power of Intention: The Case of Information Systems Continuance , 2007, MIS Q..

[11]  Randy V. Bradley,et al.  Information Systems Success in the Context of Different Corporate Cultural Types: An Empirical Investigation , 2006, J. Manag. Inf. Syst..

[12]  N. Selwyn Apart from technology: understanding people’s non-use of information and communication technologies in everyday life , 2003 .

[13]  D. Edberg,et al.  A Case Study of IT Chargeback in a Government Agency , 2004 .

[14]  L. Festinger,et al.  A Theory of Cognitive Dissonance , 2017 .

[15]  E. Anderson,et al.  The Antecedents and Consequences of Customer Satisfaction for Firms , 1993 .

[16]  Icek Ajzen,et al.  From Intentions to Actions: A Theory of Planned Behavior , 1985 .

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

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

[19]  Mehdi Khosrow-Pour,et al.  Global, Social, and Organizational Implications of Emerging Information Resources Management: Concepts and Applications , 2009 .

[20]  Vallabh Sambamurthy,et al.  Sources of Influence on Beliefs about Information Technolgoy Use: An Empirical Study of Knowledge Workers , 2003, MIS Q..

[21]  E. Harmon-Jones,et al.  Cognitive dissonance: Progress on a pivotal theory in social psychology. , 1999 .

[22]  John P. Meyer,et al.  Affective, Continuance, and Normative Commitment to the Organization: An Examination of Construct Validity , 1996, Journal of vocational behavior.

[23]  John P. Meyer,et al.  AFFECTIVE, CONTINUANCE, AND NORMATIVE COMMITMENT TO THE ORGANIZATION: A META-ANALYSIS OF ANTECEDENTS, CORRELATES, AND CONSEQUENCES , 2002 .

[24]  Naresh K. Malhotra,et al.  Research Note - Two Competing Perspectives on Automatic Use: A Theoretical and Empirical Comparison , 2005, Inf. Syst. Res..

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

[26]  Naresh K. Malhotra,et al.  A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena , 2005, Manag. Sci..

[27]  Anol Bhattacherjee,et al.  Understanding Post-Adoption Behavior in the Context of Online Services , 1998, Inf. Syst. Res..

[28]  William J. Doll,et al.  The Collaborative Use of Information Technology: End-User Participation and Systems Success , 2001, Inf. Resour. Manag. J..

[29]  H. James Nelson,et al.  Building the IT Workforce of the Future: The Demand for More Complex, Abstract, and Strategic Knowledge , 2008, Inf. Resour. Manag. J..

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

[31]  David G. Myers,et al.  Attitude Comparison: Is There Ever a Bandwagon Effect?1 , 1977 .

[32]  José Aurelio Medina-Garrido,et al.  Inventing the Future of E-Health , 2009 .

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

[34]  Arun Rai,et al.  A Structural Model for CASE Adoption Behavior , 1996, J. Manag. Inf. Syst..

[35]  J. Mokyr,et al.  Technological Inertia in Economic History , 1992, The Journal of Economic History.

[36]  Mehdi Khosrowpour,et al.  Annals of Cases on Information Technology , 2002 .

[37]  Joel Mokyr,et al.  Innovation and Its Enemies: The Economic and Political Roots of Technological Inertia , 2000 .

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

[39]  Venkateshviswanath,et al.  A Theoretical Extension of the Technology Acceptance Model , 2000 .