Understanding Post-Adoptive Usage Behaviors: A Two-Dimensional View

Recent information systems (IS) publications reveal an emerging interest in studying postadoptive system use behaviors. Compared to the well-established research stream of IS adoption and initial usage, understanding of IS use behaviors after initial implementation stage is still at its early stage. To further develop knowledge about this phenomenon, this study reviews the IS implementation stage model and a variety of post-adoptive usage concepts in extant literature. These usage concepts are classified into three types and are mapped against their corresponding implementation stages. A two dimensional view of these use concepts is then proposed as an alternative perspective to understand these post-adoptive behaviors. Implications are also discussed at the end of this paper.

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

[2]  Robert W. Zmud,et al.  A Comprehensive Conceptualization of Post-Adoptive Behaviors Associated with Information Technology Enabled Work Systems , 2005, MIS Q..

[3]  Ritu Agarwal,et al.  Organizational Mechanisms for Enhancing User Innovation in Information Technology , 1999, MIS Q..

[4]  John Ingham,et al.  Why do people use information technology? A critical review of the technology acceptance model , 2003, Inf. Manag..

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

[6]  Confirmation Model.  UNDERSTANDING INFORMATION SYSTEMS CONTINUANCE: AN EXPECTATION- , 2001 .

[7]  Ronald Batenburg,et al.  Sticking to standards; technical and other isomorphic pressures in deploying ERP-systems , 2006, Inf. Manag..

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

[9]  T. H. Kwon,et al.  Unifying the fragmented models of information systems implementation , 1987 .

[10]  John R. Carlson,et al.  Channel Expansion Theory and the Experiential Nature of Media Richness Perceptions , 1999 .

[11]  Anol Bhattacherjee,et al.  Understanding Changes in Belief and Attitude Toward Information Technology Usage: A Theoretical Model and Longitudinal Test , 2004, MIS Q..

[12]  Jason Bennett Thatcher,et al.  Moving Beyond Intentions and Toward the Theory of Trying: Effects of Work Environment and Gender on Post-Adoption Information Technology Use , 2005, MIS Q..

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

[14]  Wynne W. Chin,et al.  The future of diffusion research , 2001, DATB.

[15]  J. Dutton,et al.  Treating Progress Functions as a Managerial Opportunity , 1984 .

[16]  Ritu Agarwal.  Individual Acceptance of Information Technologies , 2000 .

[17]  M. Porter.  Competitive Advantage: Creating and Sustaining Superior Performance , 1985 .

[18]  Robert W. Zmud,et al.  The Nature and Determinants of IT Acceptance, Routinization, and Infusion , 1993, Diffusion, Transfer and Implementation of Information Technology.