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A Triple Take on Information System Implementation

Author

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  • Liette Lapointe

    (Desautels Faculty of Management, McGill University, 1001 Sherbrooke Street West, Montreal, Quebec, Canada H3A 1G5)

  • Suzanne Rivard

    (HEC Montréal, 3000 Chemin de la Côte-Ste-Catherine, Montréal, Canada H3T 2A7)

Abstract

While researchers have used a variety of models to explain information system (IS) implementation outcomes, few have analyzed the same project or set of projects with different models looking for complementary explanations. Recognizing the multilevel nature of IS implementation, our study rises to this challenge by conducting an alternate template analysis of three cases of IS implementation in hospitals. First, we explain individual use, group resistance, and organizational adoption with models situated at the same level of analysis as each outcome. At the individual level, we use a model of cognitive absorption to explain individual system usage. At the group level, the political variant of interaction theory is used to explain group resistance to IS implementation. At the organizational level, we use organizational configurations to explain IS adoption in terms of emergence and routinization. We identify each model’s limits and prediction failures, and we show that using alternate models helps to remedy a model’s prediction failures and overcome its limits. Finally, we propose an alternate-template theory of IS implementation outcomes that takes into account all three levels of analysis, their respective outcomes, and the time dimension. This multilevel, longitudinal theory provides a better understanding of IS implementation and further elucidates what may initially have seemed to be contradictory results.

Suggested Citation

  • Liette Lapointe & Suzanne Rivard, 2007. "A Triple Take on Information System Implementation," Organization Science, INFORMS, vol. 18(1), pages 89-107, February.
    • Handle: RePEc:inm:ororsc:v:18:y:2007:i:1:p:89-107
    DOI: 10.1287/orsc.1060.0225
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    References listed on IDEAS

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    1. Heugens, P.P.M.A.R. & Zyglidopoulos, S.C., 2007. "Unfit to Learn? How Long View Organizations Adapt to Environmental Jolts," ERIM Report Series Research in Management ERS-2007-014-ORG, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    2. Stella Pachidi & Hans Berends & Samer Faraj & Marleen Huysman, 2021. "Make Way for the Algorithms: Symbolic Actions and Change in a Regime of Knowing," Organization Science, INFORMS, vol. 32(1), pages 18-41, January.
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    5. Ivanildo Viana Moura & Lauro Brito de Almeida & Wesley Vieira da Silva & Claudimar Pereira da Veiga & Flaviano Costa, 2020. "Predictor Factors of Intention to Use Technological Resources: A Multigroup Study About the Approach of Technology Acceptance Model," SAGE Open, , vol. 10(4), pages 21582440209, October.
    6. Bouncken, Ricarda B. & Qiu, Yixin & García, F. Javier Sendra, 2021. "Flexible pattern matching approach: Suggestions for augmenting theory evolvement," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    7. Haijing Hao & Rema Padman & Baohong Sun & Rahul Telang, 2018. "Quantifying the Impact of Social Influence on the Information Technology Implementation Process by Physicians: A Hierarchical Bayesian Learning Approach," Information Systems Research, INFORMS, vol. 29(1), pages 25-41, March.
    8. Valor, Carmen & Antonetti, Paolo & Crisafulli, Benedetta, 2022. "Emotions and consumers’ adoption of innovations: An integrative review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    9. Tommy Krabberød, 2015. "Standing on the Shoulders of Giants? Exploring Consensus on the Validity Status of Mintzberg’s Configuration Theory After a Negative Test," SAGE Open, , vol. 5(4), pages 21582440156, October.
    10. Alistair Mutch, 2010. "Technology, Organization, and Structure---A Morphogenetic Approach," Organization Science, INFORMS, vol. 21(2), pages 507-520, April.
    11. Trkman, Marina & Trkman, Peter, 2014. "Actors’ misaligned interests to explain the low impact of an information system – A case study," International Journal of Information Management, Elsevier, vol. 34(2), pages 296-307.
    12. Gerald C. Kane & Giuseppe (Joe) Labianca, 2011. "IS Avoidance in Health-Care Groups: A Multilevel Investigation," Information Systems Research, INFORMS, vol. 22(3), pages 504-522, September.
    13. Jie Mein Goh & Guodong (Gordon) Gao & Ritu Agarwal, 2011. "Evolving Work Routines: Adaptive Routinization of Information Technology in Healthcare," Information Systems Research, INFORMS, vol. 22(3), pages 565-585, September.
    14. Abhay Nath Mishra & Catherine Anderson & Corey M. Angst & Ritu Agarwal, 2012. "Electronic Health Records Assimilation and Physician Identity Evolution: An Identity Theory Perspective," Information Systems Research, INFORMS, vol. 23(3-part-1), pages 738-760, September.
    15. M. N. Ravishankar & Shan L. Pan & Dorothy E. Leidner, 2011. "Examining the Strategic Alignment and Implementation Success of a KMS: A Subculture-Based Multilevel Analysis," Information Systems Research, INFORMS, vol. 22(1), pages 39-59, March.
    16. Ritu Agarwal & Guodong (Gordon) Gao & Catherine DesRoches & Ashish K. Jha, 2010. "Research Commentary ---The Digital Transformation of Healthcare: Current Status and the Road Ahead," Information Systems Research, INFORMS, vol. 21(4), pages 796-809, December.

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