A User Commitment Approach to Information Systems Infusion

Many organizations have huge investments on information systems (IS) but are unable to achieve the maximum benefits expected. The IS infusion stage refers to the state of using IS to its full potential. IS infusion is a form of organizational citizenship behavior because full utilization of IS requires extrarole behaviors (i.e., IS use beyond the mandated usage) beyond intra-role behaviors (i.e., mandated IS usage). As commitment is a key driver of organizational citizenship behavior, IS infusion requires the user’s commitment to IS usage. This study investigates the development of user commitment from the socio-technical system design perspective and the effect of user commitment on IS infusion. We identified five constructs from the socio-technical system design (job fit, task competence, technology competence, self-determination with technology, and self-determination with task). A survey of 236 enterprise system users showed that user commitment has a positive effect on IS infusion. User commitment, in turn, is influenced by job fit, technology competence, and self-determination with task. This study contributes to IS infusion research by introducing the development of user commitment from the socio-technical system design perspective. Managers can promote user commitment in order to reach the infusion stage of fully utilizing information systems.

[1]  Gary Klein,et al.  User commitment and collaboration: Motivational antecedents and project performance , 2010, Inf. Softw. Technol..

[2]  Richard,et al.  Motivation through the Design of Work: Test of a Theory. , 1976 .

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

[4]  Dennis F. Galletta,et al.  Building systems that users want to use , 2004, CACM.

[5]  Gerald R. Salancik,et al.  Commitment is too easy , 1977 .

[6]  Scott B. MacKenzie,et al.  Organizational Citizenship Behavior: Its Nature, Antecedents, and Consequences , 2005 .

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

[8]  G. Spreitzer PSYCHOLOGICAL EMPOWERMENT IN THE WORKPLACE: DIMENSIONS, MEASUREMENT, AND VALIDATION , 1995 .

[9]  Louis Raymond,et al.  Impact of task uncertainty, end-user involvement, and competence on the success of end-user computing , 1998, Inf. Manag..

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

[11]  Wynne W. Chin,et al.  Factors Leading to Sales Force Automation Use: A Longitudinal Analysis , 2002 .

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

[13]  Pratim Datta,et al.  Investigating Technology Commitment in Instant Messaging Application Users , 2010, J. Organ. End User Comput..

[14]  Wynne W. Chin,et al.  Technology use on the front line: how information technology enhances individual performance , 2007 .

[15]  Malcolm Munro,et al.  Understanding and measuring user competence , 1997, Inf. Manag..

[16]  John P. Meyer,et al.  The measurement and antecedents of affective, continuance and normative commitment to the organization , 1990 .

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

[18]  Guy Paré,et al.  The Influence of High-Involvement Human Resources Practices, Procedural Justice, Organizational Commitment, and Citizenship Behaviors on Information Technology Professionals' Turnover Intentions , 2007 .

[19]  H. Gemünden,et al.  The impact of a company's business strategy on its technological competence, network competence and innovation success , 2004 .

[20]  C. Speier,et al.  The Hidden Minefields in the Adoption of Sales Force Automation Technologies , 2002 .

[21]  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..

[22]  John S. Edwards,et al.  Building user commitment to implementing a knowledge management strategy , 2005, Inf. Manag..

[23]  A. Bandura Human agency in social cognitive theory. , 1989, The American psychologist.

[24]  E. Deci,et al.  Self-determination in a work organization. , 1989 .

[25]  E. B. Andersen,et al.  Modern factor analysis , 1961 .

[26]  John P. Meyer,et al.  Commitment to organizations and occupations: Extension and test of a three-component conceptualization. , 1993 .

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

[28]  Robert P. Bostrom,et al.  Mis problems and failures: a socio-technical perspective , 1977 .

[29]  W. Doll,et al.  A discrepancy model of end-user computing involvement , 1989 .

[30]  H. Harman Modern factor analysis , 1961 .

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

[32]  Elizabeth Wolfe Morrison,et al.  Role Definitions and Organizational Citizenship Behavior: The Importance of the Employee's Perspective , 1994 .

[33]  M. Markus,et al.  The Enterprise System Experience— From Adoption to Success , 2000 .

[34]  E. Deci,et al.  The support of autonomy and the control of behavior. , 1987, Journal of personality and social psychology.

[35]  H. Bansal,et al.  A three-component model of customer commitment to service providers , 2004 .

[36]  Dianna L. Stone,et al.  The Effects of Multiple Sources of Performance Feedback and Feedback Favorability on Self-Perceived Task Competence and Perceived Feedback Accuracy , 1984 .

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

[38]  V. Sambamurthy,et al.  Information Technology Assimilation in Firms: The Influence of Senior Leadership and IT Infrastructures , 1999, Inf. Syst. Res..

[39]  Wei Wang,et al.  ScholarWorks @ Georgia State University , 2022 .

[40]  John P. Meyer,et al.  Commitment in the workplace: toward a general model , 2001 .

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

[42]  Sue Abdinnour-Helm,et al.  Examining the effects of information system characteristics and perceived usefulness on post adoption usage of information systems , 2008, Inf. Manag..

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

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

[45]  Sean Xin Xu,et al.  Extracting Business Value from IT: A Sensemaking Perspective of Post-Adoptive Use , 2011, Manag. Sci..

[46]  Wei Wang,et al.  AIS Electronic , 2022 .

[47]  R. Bies,et al.  Organizational Citizenship Behavior: The Good Soldier Syndrome , 1989 .

[48]  Glenn J. Browne,et al.  An Empirical Investigation of Web Site Use Using a Commitment-Based Model , 2006, Decis. Sci..