System emergent use : a theoretical model and empirical exploration

Complex information systems have become the core component of modern organizations. Corporate investments in complex information systems have soared to a record high. Unfortunately, half of these initiatives are unsuccessful, and it is also the case that firms that implemented complex information systems rarely fully materialize the touted benefits and return on investment. This underachievement may partially be attributed to system underutilization. In this study, we approach this issue from the perspective of emergent use. Emergent use denotes the extent to which an individual uses a technology in an innovative manner to support his/her work tasks. Drawing upon the individual IS continuance model and organizational assimilation framework, we developed a model to theoretically understand those factors that drive employees’ emergent use of complex information systems, particularly when there is an organizational mandate to use it. A field study was conducted in two large manufacturing firms using ERP systems to empirically validate the model. The results suggest that factors informed by direct experience prior to post-acceptance, specifically perceived usefulness and satisfaction, strongly affect emergent use. Contrary to commonly accepted knowledge in IS implementation, general management support has little impact on emergent use behavior post-acceptance. Instead, personal trait, such as personal innovativeness with IT, exerts significant influence on emergent use. This study represents an important first step toward understanding emergent use in

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

[2]  A. Adam Whatever happened to information systems ethics? Caught between the devil and the deep blue sea , 2004 .

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

[4]  Vallabh Sambamurthy,et al.  Shaping UP for E-Commerce: Institutional Enablers of the Organizational Assimliation of Web Technologies , 2002, MIS Q..

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

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

[7]  James C. Wetherbe,et al.  The Adoption of Spreadsheet Software: Testing Innovation Diffusion Theory in the Context of End-User Computing , 1990, Inf. Syst. Res..

[8]  Vikki Lynn Saga,et al.  The nature and determinants of information technology infusion: An organizational level of analysis , 1994 .

[9]  David Gefen,et al.  Structural Equation Modeling Techniques and Regression: Guidelines for Research Practice , 2000 .

[10]  Tom Forester Computers in the human context: information technology, productivity, and people , 1989 .

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

[12]  Detmar W. Straub,et al.  The psychological origins of perceived usefulness and ease-of-use , 1999, Inf. Manag..

[13]  Bernadette Szajna,et al.  Empirical evaluation of the revised technology acceptance model , 1996 .

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

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

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

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

[18]  S. Thompson Social Learning Theory , 2008 .

[19]  Bridget N. O'Connor,et al.  End-User Information Systems: Perspectives for Managers and Information Systems Professionals , 1997 .

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

[21]  Peter A. Todd,et al.  Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication , 1992, MIS Q..

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

[23]  Detmar W. Straub,et al.  Structural Equation Modeling and Regression: Guidelines for Research Practice , 2000, Commun. Assoc. Inf. Syst..

[24]  Peter Caputi,et al.  An integrative model of information systems use in mandatory environments , 1998, ICIS '98.

[25]  Frédéric Adam,et al.  Second-Wave Enterprise Resource Planning Systems: ERP Projects: Good or Bad for SMEs? , 2003 .

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

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

[28]  Virginia Ilie,et al.  OPENING UP THE ADOPTION SHELL. "SHALLOW" AND "DEEP LEVEL" USAGE PATTERNS IN HEALTHCARE ORGANIZATIONS , 2005 .

[29]  Kenneth L. Kraemer,et al.  Post-Adoption Variations in Usage and Value of E-Business by Organizations: Cross-Country Evidence from the Retail Industry , 2005, Inf. Syst. Res..

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

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

[32]  Wallace E. Carroll,et al.  The Diffusion and Assimilation of Information Technology Innovations , 2001 .

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

[34]  L. Willcocks,et al.  Second-Wave Enterprise Resource Planning Systems: The Role of the CIO and IT Functions in ERP , 2000 .

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

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

[37]  Judy Kay,et al.  Studying long-term system use , 1995, CACM.

[38]  Jeanne W. Ross,et al.  Learning to Implement Enterprise Systems: An Exploratory Study of the Dialectics of Change , 2002, J. Manag. Inf. Syst..

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

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

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

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

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

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

[45]  Salvatore T. March,et al.  Information Systems Research , 2004, IFIP International Federation for Information Processing.

[46]  Gerardine DeSanctis,et al.  Capturing the Complexity in Advanced Technology Use: Adaptive Structuration Theory , 1994 .

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

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

[49]  R. Rice,et al.  Attitudes toward New Organizational Technology: Network Proximity as a Mechanism for Social Information Processing. , 1991 .

[50]  C. Steinfield,et al.  A Social Influence Model of Technology use , 1990 .

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

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

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

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

[55]  C. Pinder,et al.  Work Motivation in Organizational Behavior , 1997 .

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

[57]  Toni M. Somers,et al.  The impact of critical success factors across the stages of enterprise resource planning implementations , 2001, Proceedings of the 34th Annual Hawaii International Conference on System Sciences.

[58]  Dale Goodhue,et al.  Understanding user evaluations of information systems , 1995 .

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

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

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

[62]  Janet Fulk,et al.  Organizations and Communication Technology , 1990 .

[63]  Detmar W. Straub,et al.  Trust and TAM in Online Shopping: An Integrated Model , 2003, MIS Q..

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

[65]  B. Byrne A Primer of Lisrel: Basic Applications and Programming for Confirmatory Factor Analytic Models , 1989 .

[66]  P. R. Warshaw A New Model for Predicting Behavioral Intentions: An Alternative to Fishbein , 1980 .

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

[68]  B. Joseph Pine,et al.  The Experience Economy , 1999 .

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

[70]  E. Rogers,et al.  Diffusion of Innovations, 5th Edition , 2003 .

[71]  Terri L. Griffith Technology Features as Triggers for Sensemaking , 1999 .

[72]  P. Attewell Technology Diffusion and Organizational Learning: The Case of Business Computing , 1992 .

[73]  Alan R. Dennis,et al.  Understanding Fit and Appropriation Effects in Group Support Systems via Meta-Analysis , 2001, MIS Q..

[74]  Tor Guimaraes,et al.  Empirically assessing factors related to DSS benefits , 1994 .

[75]  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..

[76]  Detmar W. Straub,et al.  Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs , 1999, MIS Q..

[77]  Henri Barki,et al.  Explaining the Role of User Participation in Information System Use , 1994 .

[78]  Michael Rosemann,et al.  What is ERP? , 2000, Inf. Syst. Frontiers.

[79]  Michael J. Gallivan,et al.  Does Information Technology Training Really Matter? A Social Information Processing Analysis of Coworkers' Influence on IT Usage in the Workplace , 2005, J. Manag. Inf. Syst..

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

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

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

[83]  T. Davenport Putting the enterprise into the enterprise system. , 1998, Harvard business review.

[84]  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..

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

[86]  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.

[87]  C. Pannell Regional Powerhouse: The Greater Pearl River Delta and the Rise of China , 2006 .

[88]  James C. Brancheau,et al.  Adoption and Utilization of Commercial Software Packages: Exploring Utilization Equilibria, Transitions, Triggers, and Tracks , 1999, J. Manag. Inf. Syst..

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

[90]  Robert G. Fichman,et al.  International Conference on Information Systems ( ICIS ) 1992 INFORMATION TECHNOLOGY DIFFUSION : A REVIEW OF EMPIRICAL RESEARCH , 2017 .

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

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

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

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

[95]  R. Hirschheim,et al.  Critical issues in information systems research , 1987 .

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

[97]  Detmar W. Straub,et al.  Validation in Information Systems Research: A State-of-the-Art Assessment , 2001, MIS Q..

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