Coeurderoy, Régis
[UCL]
Vas, Alain
[UCL]
Guilmot, Nathalie
[UCL]
Purpose: The purpose of this paper is to explore how drivers differentially speed up the change process adoption in the perspective of a technological change. More specifically, the paper aims to answer the following question: "Which factors impact the technological change adoption speed of an information system?" Based on an empirical study, our results identify three factors that have a direct influence on the speed of technological change adoption. Design/methodology/approach: Using the Unified Theory of Acceptance and Use of Technology model as a point of departure, the paper analyzes the impact of eight variables grouped in four categories: the perceived attributes of change (performance expectancy and effort expectancy), social influence (peer influence and supervisor influence), facilitating conditions (initial training and helpdesk) and individual characteristics (receptivity to change and self-efficacy). To evaluate which factors accelerate or inhibit change adoption, the paper uses a statistical model of survival analysis. Findings: Based on a 15-month longitudinal study of a workflow system implementation in a telecommunications firm, the results highlight that performance expectancy, supervisor influence and self-efficacy have a direct influence on the speed of technological change adoption. Research limitations/implications: As a case study, the research findings may only be valid in the particular organization in which it is developed. Indeed, the organizational culture, the company's internal rules, and the history of the organization are factors which significantly influence the speed of change. Practical implications: The results may help project leaders to be aware of the elements that must be dealt with effectively if a change process is to succeed within the allotted time. Originality/value: The statistical model of survival analysis allows analyzing change adoption from a dynamic perspective. This statistical approach is quite new and complementary with most of the studies which are qualitative in the field. © Emerald Group Publishing Limited.
- Agarwal Ritu, Prasad Jayesh, A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology, 10.1287/isre.9.2.204
- Agarwal Rajshree, 10.1023/a:1007955428797
- Aiman-Smith L., Green S. G., IMPLEMENTING NEW MANUFACTURING TECHNOLOGY: THE RELATED EFFECTS OF TECHNOLOGY CHARACTERISTICS AND USER LEARNING ACTIVITIES., 10.2307/3069356
- Armenakis Achilles A., Bernerth Jeremy B., Pitts Jennifer P., Walker H. Jack, Organizational Change Recipients' Beliefs Scale : Development of an Assessment Instrument, 10.1177/0021886307303654
- Balkundi P., Harrison D. A., TIES, LEADERS, AND TIME IN TEAMS: STRONG INFERENCE ABOUT NETWORK STRUCTURE'S EFFECTS ON TEAM VIABILITY AND PERFORMANCE., 10.5465/amj.2006.20785500
- Balogun J, From Blaming the Middle to Harnessing its Potential: Creating Change Intermediaries, 10.1111/1467-8551.00266
- Balogun Julia, Managing Change: Steering a Course between Intended Strategies and Unanticipated Outcomes, 10.1016/j.lrp.2005.02.010
- Balogun Julia, Jenkins Mark, Re-conceiving Change Management:, 10.1016/s0263-2373(03)00019-7
- Bandura Albert, Self-efficacy: Toward a unifying theory of behavioral change., 10.1037/0033-295x.84.2.191
- Bradley Joseph, Management based critical success factors in the implementation of Enterprise Resource Planning systems, 10.1016/j.accinf.2008.04.001
- Brown, C.V. and Vessey, I. (2003), “Managing the next wave of enterprise systems: leveraging lessons from ERP”, MIS Quart Exec, Vol. 2 No. 1, pp. 65-77.
- Bruque Sebastián, Moyano José, Organisational determinants of information technology adoption and implementation in SMEs: The case of family and cooperative firms, 10.1016/j.technovation.2006.12.003
- Burt Ronald S., Social Contagion and Innovation: Cohesion versus Structural Equivalence, 10.1086/228667
- Coltman Tim, Devinney Timothy M., Midgley David F., Venaik Sunil, Formative versus reflective measurement models: Two applications of formative measurement, 10.1016/j.jbusres.2008.01.013
- Compeau Deborah R., Higgins Christopher A., Computer Self-Efficacy: Development of a Measure and Initial Test, 10.2307/249688
- Davis Fred D., Bagozzi Richard P., Warshaw Paul R., User Acceptance of Computer Technology: A Comparison of Two Theoretical Models, 10.1287/mnsc.35.8.982
- Durand Rodolphe, Obadia Jacques, Analyse de la survie des firmes : le cas des imprimeurs offset à Paris de 1950 à 1985, 10.3406/rei.1998.1715
- Eby Lillian T., Adams Danielle M., Russell Joyce E.A., Gaby Stephen H., Perceptions of Organizational Readiness for Change: Factors Related to Employees' Reactions to the Implementation of Team-Based Selling, 10.1177/0018726700533006
- Eisenberger Robert, Huntington Robin, Hutchison Steven, Sowa Debora, Perceived organizational support., 10.1037/0021-9010.71.3.500
- Frahm Jennifer, Brown Kerry, First steps: linking change communication to change receptivity, 10.1108/09534810710740191
- Gatignon Hubert, Robertson Thomas S., Technology Diffusion: An Empirical Test of Competitive Effects, 10.2307/1251523
- Gómez Carolina, Rosen Benson, The Leader-Member Exchange as a Link between Managerial Trust and Employee Empowerment, 10.1177/1059601101261004
- Hitt Lorin M., Brynjolfsson Erik, Productivity, Business Profitability, and Consumer Surplus: Three Different Measures of Information Technology Value, 10.2307/249475
- Hong Kyung-Kwon, Kim Young-Gul, The critical success factors for ERP implementation: an organizational fit perspective, 10.1016/s0378-7206(01)00134-3
- Hunton James E, Lippincott Barbara, Reck Jacqueline L, Enterprise resource planning systems: comparing firm performance of adopters and nonadopters, 10.1016/s1467-0895(03)00008-3
- Kets de Vries Manfred F.R., Balazs Katharina, Beyond the quick fix:, 10.1016/s0263-2373(98)00037-1
- Kim, H.W. and Kankanhalli, A. (2009), “Investing user resistance to information systems implementation: a status quo bias perspective”, MIS Quarterly, Vol. 33 No. 3, pp. 567-582.
- WOODMAN R. W., UNDERSTANDING ORGANIZATIONAL CHANGE: A SCHEMATIC PERSPECTIVE., 10.2307/256692
- Leonard-Barton Dorothy, Deschamps Isabelle, Managerial Influence in the Implementation of New Technology, 10.1287/mnsc.34.10.1252
- Liang, H. , Saraf, N. , Hu, Q. and Xue, Y. (2007), “Assimilation of enterprise systems: the effect of institutional pressures on the mediating role of top management”, MIS Quarterly, Vol. 31 No. 1, pp. 59-87.
- Maguire Stuart, Redman Tom, The role of human resource management in information systems development, 10.1108/00251740710727278
- Manigart Sophie, Baeyens Katleen, Van Hyfte Wim, The survival of venture capital backed companies, 10.1080/13691060110103233
- Michel Alexandra, Todnem By Rune, Burnes Bernard, The limitations of dispositional resistance in relation to organizational change, 10.1108/00251741311326554
- Midgley David F., Dowling Grahame R., Innovativeness: The Concept and Its Measurement, 10.1086/208701
- Muscatello Joseph R., Parente Diane H., Enterprise Resource Planning (ERP) : A Postimplementation Cross-Case Analysis, 10.4018/irmj.2006070105
- Fui‐Hoon Nah Fiona, Lee‐Shang Lau Janet, Kuang Jinghua, Critical factors for successful implementation of enterprise systems, 10.1108/14637150110392782
- Nelson, R.R. (2005), “Project retrospectives: evaluating project success, failure, and everything in between”, MIS Quart Exec, Vol. 4 No. 3, pp. 361-372.
- Neufeld Derrick J, Dong Linying, Higgins Chris, Charismatic leadership and user acceptance of information technology, 10.1057/palgrave.ejis.3000682
- Nicolaou Andreas I, Quality of postimplementation review for enterprise resource planning systems, 10.1016/j.accinf.2004.02.002
- Nicolaou Andreas I., Bhattacharya Somnath, Organizational performance effects of ERP systems usage: The impact of post-implementation changes, 10.1016/j.accinf.2005.12.002
- Oreg Shaul, Personality, context, and resistance to organizational change, 10.1080/13594320500451247
- Orlikowski, W.J. and Hofman, J.D. (1997), “An improvisational model for change management: the case of groupware technologies”, Sloan Management Review, Vol. 38 No. 2.
- Oxtoby Barrie, McGuiness Tony, Morgan Robert, Developing Organisational Change Capability, 10.1016/s0263-2373(02)00047-6
- Pardo‐del‐Val Manuela, Martínez‐Fuentes Clara, Roig‐Dobón Salvador, Participative management and its influence on organizational change, 10.1108/00251741211279639
- Peppard, J. , Ward, J. and Daniel, E. (2007), “Managing the realization of business benefits from IT investments”, MIS Quarterly Executive, Vol. 6 No. 1, pp. 1-11.
- Poston Robin, Grabski Severin, Financial impacts of enterprise resource planning implementations, 10.1016/s1467-0895(01)00024-0
- Rush, M.C. , Schoel, W.A. and Barnard, J.M. (1994), “Psychological resiliency in the public sector: ‘Hardiness’ and pressure for change”, Journal of Vocational Behavior, Vol. 46 No. 1, pp. 1-22.
- Tenkasi Ramkrishnan V., Chesmore Marshal C., Social Networks and Planned Organizational Change : The Impact of Strong Network Ties on Effective Change Implementation and Use, 10.1177/0021886303258338
- Thompson Ronald L., Higgins Christopher A., Howell Jane M., Influence of Experience on Personal Computer Utilization: Testing a Conceptual Model, 10.1080/07421222.1994.11518035
- Umble Elisabeth J, Haft Ronald R, Umble M.Michael, Enterprise resource planning: Implementation procedures and critical success factors, 10.1016/s0377-2217(02)00547-7
- Vas Alain, Vitesse de propagation du changement dans les grandes organisations, 10.3166/rfg.155.135-151
- Venkatesh Viswanath, Davis Fred D., A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies, 10.1287/mnsc.46.2.186.11926
- Venkatesh, V. , Morris, M.G. , Davis, G.B. and Davis, F.D. (2003), “User acceptance of information technology: toward a unified view”, MIS Quarterly, Vol. 27 No. 3, pp. 425-478.
- Venkatesh, V. , Thong, J.Y.L. and Xu, X. (2012), “Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology”, MIS Quaterly, Vol. 36 No. 1, pp. 157-178.
- Wood, R. and Bandura, A. (1989), “Social cognitive theory of organizational management”, Academy of Management Review, Vol. 14 No. 3, pp. 361-383.
- Zmud Robert W., An Examination of “Push-Pull” Theory Applied to Process Innovation in Knowledge Work, 10.1287/mnsc.30.6.727
- Alwahaishi Saleh, Snásel Václav, Consumers' Acceptance and Use of Information and Communications Technology: A UTAUT and Flow Based Theoretical Model, 10.4067/s0718-27242013000200005
Bibliographic reference |
Coeurderoy, Régis ; Vas, Alain ; Guilmot, Nathalie. Explaining factors affecting technological change adoption: A survival analysis of an information system implementation. In: Management Decision, Vol. 52, no. 6, p. 1082-1100 (2014) |
Permanent URL |
http://hdl.handle.net/2078.1/159495 |