The impact of organizational intervention on system usage extent

– The purpose of this paper is to advance our understanding of the concept of system usage and identify determinants at the organizational level that are attributable to the extent of system usage in the post‐adoptive and compulsory milieu., – The paper intends to examine the organizational intervention on system usage extent. Unlike previous studies, this research adopts a feature‐centered approach to examine the construct of system usage extent, and proposes that organizational supports such as management support and technical support impact the individual system usage extent., – Results show that technical support from the organization, specifically technical assistance and technical consulting channels, have a positive impact on system usage extent; however, management support does not show a significant effect. A post hoc analysis is conducted in an attempt to explicate the relationships between organization interventions and the feature usage of particular systems., – The paper has the following implications. First, this study discusses system usage extent from a feature‐centered perspective and develops a method to assess the degree of system usage. Second, the scheme for evaluating system usage extent developed in our study can be used to measure the actual system usage. Lastly, an ad hoc correlation analysis was performed to provide a detailed understanding of the relationship between organizational initiatives.

[1]  Moez Limayem,et al.  Force of Habit and Information Systems Usage: Theory and Initial Validation , 2003, J. Assoc. Inf. Syst..

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

[3]  Ritu Agarwal,et al.  On the usability of OO representations , 2000, CACM.

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

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

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

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

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

[9]  Tor Guimaraes,et al.  Client/Server System Success: Exploring the Human Side , 1997 .

[10]  Dale L. Goodhue,et al.  User evaluations of MIS success: what are we really measuring? , 1992, Proceedings of the Twenty-Fifth Hawaii International Conference on System Sciences.

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

[12]  Magid Igbaria,et al.  Personal Computing Acceptance Factors in Small Firms: A Structural Equation Model , 1997, MIS Q..

[13]  Corey M. Angst,et al.  Reconceptualizing Compatibility Beliefs in Technology Acceptance , 2006 .

[14]  Deepinder S. Bajwa,et al.  An Empirical Investigation into Factors Relating to the Adoption of Executive Information Systems: An Analysis of EIS for Collaboration and Decision Support* , 1997 .

[15]  Wynne W. Chin,et al.  CASE Tools Usage and Impact on System Development Performance , 2004, J. Organ. Comput. Electron. Commer..

[16]  R. Bagozzi.  A Field Investigation of Causal Relations among Cognitions, Affect, Intentions, and Behavior , 1982 .

[17]  Peter A. Todd,et al.  Assessing IT usage: the role of prior experience , 1995 .

[18]  Michael R. Anderberg,et al.  Cluster Analysis for Applications , 1973 .

[19]  V. Mabert,et al.  Enterprise resource planning: common myths versus evolving reality , 2001 .

[20]  Izak Benbasat,et al.  Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..

[21]  Henry C. Lucas,et al.  Technology Use and Performance: A Field Study of Broker Workstations* , 1999 .

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

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

[24]  B. Brabander,et al.  Successful Information System Development in Relation to Situational Factors Which Affect Effective Communication Between MIS-Users and EDP-Specialists , 1984 .

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

[26]  Lorne Olfman,et al.  ERP training strategies: conceptual training and the formation of accurate mental models , 2003, SIGMIS CPR '03.

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

[28]  Jane M. Howell,et al.  Personal Computing: Toward a Conceptual Model of Utilization , 1991, MIS Q..

[29]  William H. DeLone.  Determinants of Success for Computer Usage in Small Business , 1988, MIS Q..

[30]  Fred D. Davis,et al.  Developing and Validating an Observational Learning Model of Computer Software Training and Skill Acquisition , 2003, Inf. Syst. Res..

[31]  Tor Guimaraes,et al.  Exploring the Factors Associated with Expert Systems Success , 1995, MIS Q..

[32]  Louis Raymond,et al.  Determinants of EIS use: Testing a behavioral model, , 1995, Decis. Support Syst..

[33]  Thomas D. Clark,et al.  The Dynamic Structure of Management Support Systems: Theory Development, Research Focus, and Direction , 2007, MIS Q..

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

[35]  Ritu Agarwal,et al.  Targeting COBOL Programmers for C Training: The Role of Job Insecurity and Organizational Tenure , 1997, J. Syst. Softw..

[36]  Denis Besnard,et al.  Interface changes causing accidents. An empirical study of negative transfer , 2005, Int. J. Hum. Comput. Stud..

[37]  Donald L. Amoroso,et al.  Organizational issues of end-user computing , 1988, DATB.

[38]  Jr. Henry C. Lucas,et al.  Performance and the Use of an Information System , 1975 .

[39]  Jane M. Howell,et al.  Influence of Experience on Personal Computer Utilization: Testing a Conceptual Model , 1994, J. Manag. Inf. Syst..

[40]  Henri Barki,et al.  Change, attitude to change, and decision support system success , 1985, Inf. Manag..

[41]  D. Leonard-Barton,et al.  Managerial influence in the implementation of new technology , 1988 .

[42]  Darrell K. Rigby,et al.  Avoid the four perils of CRM. , 2002, Harvard business review.

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

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

[45]  Jacob Cohen.  A Coefficient of Agreement for Nominal Scales , 1960 .

[46]  Anol Bhattacherjee.  Managerial Influences on Intraorganizational Information Technology Use: A Principal-Agent Model , 1998 .

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

[48]  B. Verplanken,et al.  Reflections on past behavior: A self-report index of habit strength , 2003 .

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

[50]  Anol Bhattacherjee,et al.  An empirical analysis of the antecedents of electronic commerce service continuance , 2001, Decis. Support Syst..

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

[52]  Wynne W. Chin,et al.  Factors motivating software piracy: a longitudinal study , 2004, IEEE Transactions on Engineering Management.

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

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

[55]  I. Ajzen.  The theory of planned behavior , 1991 .

[56]  Dorothy E. Leidner,et al.  Review: Knowledge Management and Knowledge Management Systems: Conceptual Foundations and Research Issues , 2001, MIS Q..

[57]  John C. Henderson,et al.  An Evolutionary Strategy for Implementing a Decision Support System , 1981 .

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

[59]  J. Hair.  Multivariate data analysis , 1972 .

[60]  Ananth Srinivasan,et al.  Alternative Measures of Systems Effectiveness: Associations and Implications , 1985, MIS Q..

[61]  Rajeev Sharma,et al.  The Contingent Effects of Management Support and Task Interdependence on Successful Information Systems Implementation , 2003, MIS Q..