Innovate with Complex Information Technologies: A Theoretical Model and Empirical Examination

Complex information technologies (CITs), such as ERP packages, have become the core component of modern organizations. Corporate investments in CITs have soared to a record high. Firms need to creatively apply the technologies in order to adapt to the ever-changing environments and realize the full potential of the technologies. We approach this issue from the perspective of ‘Innovate with IT’, a post-acceptance usage behavior that describes innovative use of information technologies to support individual task performances. Drawing upon the IS Continuance (ISC) model, as well as the managerial and individual factors that facilitate higher level IT use, a model is theoretically developed to understand employees' novel use of CITs. A field study was conducted in a large manufacturing firm using ERP packages to empirically validate the model. The results suggest that the ISC model, personal propensity toward IT innovations, and management support jointly nurture employees' creative use of complex technologies.

[1]  Ephraim R. McLean,et al.  The DeLone and McLean Model of Information Systems Success: A Ten-Year Update , 2003, J. Manag. Inf. Syst..

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

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

[4]  Blake Ives,et al.  User Involvement and MIS Success: A Review of Research , 1984 .

[5]  P. M. Podsakoff,et al.  Self-Reports in Organizational Research: Problems and Prospects , 1986 .

[6]  Susan K. Lippert,et al.  Utilization of information technology: examining cognitive and experiential factors of post-adoption behavior , 2005, IEEE Transactions on Engineering Management.

[7]  Kathleen M. Carley,et al.  Network Structure in Virtual Organizations , 1999 .

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

[9]  Henry C. Lucas,et al.  Empirical Evidence for a Descriptive Model of Implementation , 1978, MIS Q..

[10]  Henry C. Lucas,et al.  Information Systems Implementation: Testing a Structural Model , 1990 .

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

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

[13]  Deborah Compeau,et al.  Computer Self-Efficacy: Development of a Measure and Initial Test , 1995, MIS Q..

[14]  Marlei Pozzebon,et al.  Combining a Structuration Approach with a Behavioral-Based Model to Investigate ERP Usage , 2000 .

[15]  Deborah Compeau,et al.  Application of Social Cognitive Theory to Training for Computer Skills , 1995, Inf. Syst. Res..

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

[17]  Martin Pinquart,et al.  Moderating Effects of Adolescents’ Self-Efficacy Beliefs on Psychological Responses to Social Change , 2004 .

[18]  William R. King,et al.  Antecedents of Knowledge Transfer from Consultants to Clients in Enterprise System Implementations , 2005, MIS Q..

[19]  Fiona Fui-Hoon Nah,et al.  An Empirical Investigation on End-Users' Acceptance of Enterprise Systems , 2004, Inf. Resour. Manag. J..

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

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

[22]  Richard D. Johnson,et al.  The Multilevel and Multifaceted Character of Computer Self-Efficacy: Toward Clarification of the Construct and an Integrative Framework for Research , 1998, Inf. Syst. Res..

[23]  Graeme Shanks,et al.  Introduction: ERP-the quiet revolution , 2003 .

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

[25]  J GallivanMichael,et al.  Does Information Technology Training Really Matter? A Social Information Processing Analysis of Coworkers' Influence on IT Usage in the Workplace , 2003 .

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

[27]  Viswanath Venkatesh,et al.  Why Don't Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior , 2000, MIS Q..

[28]  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.

[29]  Magid Igbaria,et al.  Computer anxiety and attitudes towards microcomputer use , 1990 .

[30]  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..

[31]  Ritu Agarwal,et al.  A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology , 1998, Inf. Syst. Res..

[32]  Vallabh Sambamurthy,et al.  Research Report: The Evolving Relationship Between General and Specific Computer Self-Efficacy - An Empirical Assessment , 2000, Inf. Syst. Res..

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

[34]  Michael J. Gallivan,et al.  Organizational adoption and assimilation of complex technological innovations: development and application of a new framework , 2001, DATB.

[35]  R. Oliver.  A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions , 1980 .

[36]  Marie-Claude Boudreau,et al.  Quality of Use of a Complex Technology: A Learning-Based Model , 2005, J. Organ. End User Comput..

[37]  Richard W. Scamell,et al.  The Effects of Information System User Expectations on Their Performance and Perceptions , 1993, MIS Q..

[38]  Russell L. Purvis,et al.  The Assimilation of Knowledge Platforms in Organizations: An Empirical Investigation , 2001 .

[39]  A. F. Salam,et al.  An extension of the technology acceptance model in an ERP implementation environment , 2004, Inf. Manag..

[40]  K. Eisenhardt,et al.  The Art of Continuous Change : Linking Complexity Theory and Time-Paced Evolution in Relentlessly Shifting Organizations , 1997 .

[41]  Leslie P. Willcocks,et al.  Second-Wave Enterprise Resource Planning Systems: Implementing for Effectiveness , 2003 .

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

[43]  SambamurthyV.,et al.  The Assimilation of Knowledge Platforms in Organizations , 2001 .

[44]  R KingWilliam,et al.  Antecedents of knowledge transfer from consultants to clients in enterprise system implementations , 2005 .

[45]  Ritu Agarwal,et al.  Are Individual Differences Germane to the Acceptance of New Information Technologies , 1999 .

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

[47]  Leslie P. Willcocks,et al.  Enterprise resource planning: the role of the CIO and it function in ERP , 2000, CACM.

[48]  Marie-Claude Boudreau,et al.  Learning to use ERP technology: a causal model , 2003, 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the.

[49]  Michael J. Enright,et al.  Regional Powerhouse: The Greater Pearl River Delta and the Rise of China , 2005 .

[50]  Dale Goodhue,et al.  What Happens After ERP Implementation: Understanding the Impact of Interdependence and Differentiation on Plant-Level Outcomes , 2005, MIS Q..

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

[52]  Albert H. Segars,et al.  Assessing the unidimensionality of measurement : a paradigm and illustration within the context of information systems research , 1997 .

[53]  Magid Igbaria,et al.  End-user computing effectiveness: A structural equation model , 1990 .