Examining the Impact of Pre-Implementation Expectations on Post-Implementation Use of Enterprise Systems: A Longitudinal Study

This article builds upon the technology acceptance model and theories of technology sensemaking to explore pre-enterprise system adoption expectations and post-enterprise system adoption outcomes in a longitudinal setting. Building on the exploitation and exploration paradigm, we propose that task productivity and task innovation expectations are the key drivers of users’ pre-adoption enterprise system usage intention. Further, we argue that the enterprise system facilitates generation of a common knowledge base that may encourage a more integrated organizational culture and promote shared understanding among employees. Considering the distinction between mandatory and voluntary contexts, we propose that user acceptance of the enterprise system at the pre- and post-adoption stages will mediate these relationships in a mandatory context. The results show that the influence of pre-adoption expectations regarding task productivity and task innovation on intention to use an enterprise system is mediated by user acceptance of the enterprise system. Intention to use an enterprise system is positively related to actual use. At the post-adoption stage, the influence of actual use on shared understanding is mediated by user acceptance of an enterprise system and enterprise system use has a direct negative impact on task efficiency in the initial period after implementation. Overall, the results highlight that user acceptance at both pre- and post-adoption stages are critical factors when usage is mandatory. These findings suggest a number of important implications for research and for managerial action.

[1]  Jeanne W. Ross,et al.  The ERP Revolution: Surviving vs. Thriving , 2000, Inf. Syst. Frontiers.

[2]  Terri L. Griffith.  Negotiating successful technology implementation a motivation perspective , 1996 .

[3]  Georg Schreyögg,et al.  How dynamic can organizational capabilities be? Towards a dual-process model of capability dynamization , 2007 .

[4]  J. Nunnally.  Psychometric Theory (2nd ed), New York: McGraw-Hill. , 1978 .

[5]  Justin J. P. Jansen,et al.  Managing Potential and Realized Absorptive Capacity: How Do Organizational Antecedents Matter? , 2005 .

[6]  Wynne W. Chin.  The partial least squares approach for structural equation modeling. , 1998 .

[7]  J. Barney,et al.  Organizational Culture: Can It Be a Source of Sustained Competitive Advantage? , 1986 .

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

[9]  Roderick E. White,et al.  An Organizational Learning Framework : From Intuition to Institution Author ( s ) : , 2007 .

[10]  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..

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

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

[13]  Varun Grover,et al.  Shaping Agility through Digital Options: Reconceptualizing the Role of Information Technology in Contemporary Firms , 2003, MIS Q..

[14]  Sue Abdinnour-Helm,et al.  Pre-implementation attitudes and organizational readiness for implementing an Enterprise Resource Planning system , 2003, Eur. J. Oper. Res..

[15]  M. Gordon,et al.  PUBLICATION RECORDS AND TENURE DECISIONS IN THE FIELD OF STRATEGIC MANAGEMENT , 1996 .

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

[17]  K. Weick,et al.  Collective mind in organizations: Heedful interrelating on flight decks. , 1993 .

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

[19]  Young-Gul Kim,et al.  The critical success factors for ERP implementation: an organizational fit perspective , 2002, Inf. Manag..

[20]  C. Lengnick-Hall,et al.  The role of social and intellectual capital in achieving competitive advantage through enterprise resource planning (ERP) systems , 2004 .

[21]  Morten T. Hansen,et al.  The Search-Transfer Problem: The Role of Weak Ties in Sharing Knowledge across Organization Subunits , 1999 .

[22]  M. Tushman,et al.  The ambidextrous organization. , 2004, Harvard business review.

[23]  E. Burton Swanson,et al.  Innovating Mindfully with Information Technology , 2004, MIS Q..

[24]  Ken G. Smith,et al.  The interplay between exploration and exploitation. , 2006 .

[25]  Ricky W. Griffin,et al.  Toward a Theory of Organizational Creativity , 1993 .

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

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

[28]  Andrew P. McAfee.  THE IMPACT OF ENTERPRISE INFORMATION TECHNOLOGY ADOPTION ON OPERATIONAL PERFORMANCE: AN EMPIRICAL INVESTIGATION , 2002 .

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

[30]  Mani Subramani,et al.  How Do Suppliers Benefit from Information Technology Use in Supply Chain Relationships? , 2004, MIS Q..

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

[32]  Susan A. Brown,et al.  Do I really have to? User acceptance of mandated technology , 2002, Eur. J. Inf. Syst..

[33]  Angela Lin,et al.  Mission Critical: Realizing the Promise of Enterprise Systems , 2001 .

[34]  R. Grant.  Toward a Knowledge-Based Theory of the Firm,” Strategic Management Journal (17), pp. , 1996 .

[35]  S. Breckler.  Empirical validation of affect, behavior, and cognition as distinct components of attitude. , 1984, Journal of personality and social psychology.

[36]  Daniel A. Levinthal,et al.  Exploration and Exploitation in Organizational Learning , 2007 .

[37]  Kevin Crowston,et al.  Coordination and Collective Mind in Software Requirements Development , 1998, IBM Syst. J..

[38]  Daniel A. Levinthal,et al.  ABSORPTIVE CAPACITY: A NEW PERSPECTIVE ON LEARNING AND INNOVATION , 1990 .

[39]  H. Helson.  Adaptation-level theory : an experimental and systematic approach to behavior , 1964 .

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

[41]  W. Doll,et al.  The development of a tool for measuring the perceived impact of information technology on work , 1999 .

[42]  Joseph Sarkis,et al.  Managing large-scale global enterprise resource planning systems: a case study at Texas Instruments , 2003, Int. J. Inf. Manag..

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

[44]  Zi-Lin He,et al.  Exploration vs. Exploitation: An Empirical Test of the Ambidexterity Hypothesis , 2004, Organ. Sci..

[45]  Subhash Sharma.  Applied multivariate techniques , 1995 .

[46]  Charles D. Barrett.  Understanding Attitudes and Predicting Social Behavior , 1980 .

[47]  Wanda J. Orlikowski,et al.  Technological frames: making sense of information technology in organizations , 1994, TOIS.

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

[49]  Kieran Mathieson,et al.  Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior , 1991, Inf. Syst. Res..