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The Effects of Coupling IT and Work Process Strategies in Redesign Projects

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  • Victoria L. Mitchell

    (Department of Accounting and Management Information Systems, Fisher College of Business, The Ohio State University, Columbus, Ohio 43210-1144)

  • Robert W. Zmud

    (Michael F. Price College of Business, University of Oklahoma, Norman, Oklahoma 73019)

Abstract

Organizational adaptation to competition often means inventing or adopting a process innovation and the daunting challenge of implementing it. Increasingly, process innovations rely on the capabilities embedded in an organization's IT infrastructure. Successfully implementing an IT-enabled process innovation depends largely on how a project's IT and work process designs fit and evolve with this IT infrastructure. However, little empirical research guides the formulation of IT and work process strategies. This study addresses the question: How does the degree of coupling between a redesign project's IT strategy and work process strategy affect project performance? Data collection utilized a multistage research design employing comprehensive phone interviews and matched surveys among three sets of respondents (project managers, IT managers, and process users) across 43 process redesign projects in the health care industry. Our findings indicate project performance improves with tightly coupled IT and work process strategies when implementing process inventions, and with loosely coupled strategies when implementing imitations.

Suggested Citation

  • Victoria L. Mitchell & Robert W. Zmud, 1999. "The Effects of Coupling IT and Work Process Strategies in Redesign Projects," Organization Science, INFORMS, vol. 10(4), pages 424-438, August.
  • Handle: RePEc:inm:ororsc:v:10:y:1999:i:4:p:424-438
    DOI: 10.1287/orsc.10.4.424
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    References listed on IDEAS

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    1. Birinder Singh Sandhawalia & Darren Dalcher, 2015. "Dynamic Knowledge Support Model for Decision-Making and Sustainable Growth: An Empirical Study," Group Decision and Negotiation, Springer, vol. 24(5), pages 803-823, September.
    2. Todisco, Lucio & Tomo, Andrea & Canonico, Paolo & Mangia, Gianluigi & Sarnacchiaro, Pasquale, 2021. "Exploring social media usage in the public sector: Public employees' perceptions of ICT's usefulness in delivering value added," Socio-Economic Planning Sciences, Elsevier, vol. 73(C).
    3. Victoria L. Mitchell & Barrie R. Nault, 2007. "Cooperative Planning, Uncertainty, and Managerial Control in Concurrent Design," Management Science, INFORMS, vol. 53(3), pages 375-389, March.
    4. Hahn, Eugene David, 2008. "Mixture densities for project management activity times: A robust approach to PERT," European Journal of Operational Research, Elsevier, vol. 188(2), pages 450-459, July.
    5. Sipos, Norbert & Lukovszki, Lívia & Rideg, András, 2022. "A kisvállalati termék- vagy szolgáltatásinnováció erőforrás-alapú megközelítése [A resource-based view of small business product/service innovation]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 929-961.
    6. Bent Flyvbjerg & Alexander Budzier & Jong Seok Lee & Mark Keil & Daniel Lunn & Dirk W. Bester, 2022. "The Empirical Reality of IT Project Cost Overruns: Discovering A Power-Law Distribution," Papers 2210.01573, arXiv.org.
    7. Hüseyin Tanriverdi & Prabhudev Konana & Ling Ge, 2007. "The Choice of Sourcing Mechanisms for Business Processes," Information Systems Research, INFORMS, vol. 18(3), pages 280-299, September.
    8. Hana Kim & Eungdo Kim, 2018. "How an Open Innovation Strategy for Commercialization Affects the Firm Performance of Korean Healthcare IT SMEs," Sustainability, MDPI, vol. 10(7), pages 1-14, July.
    9. Sanghyun Kim & Bora Kim & Minsoo Seo, 2020. "Impacts of Sustainable Information Technology Capabilities on Information Security Assimilation: The Moderating Effects of Policy—Technology Balance," Sustainability, MDPI, vol. 12(15), pages 1-24, July.
    10. López Martín, M.M. & García García, C.B. & García Pérez, J. & Sánchez Granero, M.A., 2012. "An alternative for robust estimation in Project Management," European Journal of Operational Research, Elsevier, vol. 220(2), pages 443-451.
    11. Stacy E. Lom, 2016. "Changing Rules, Changing Practices: The Direct and Indirect Effects of Tight Coupling in Figure Skating," Organization Science, INFORMS, vol. 27(1), pages 36-52, February.
    12. Demartini, Maria Chiara & Otley, David, 2020. "Beyond the system vs. package dualism in Performance Management Systems design: A loose coupling approach," Accounting, Organizations and Society, Elsevier, vol. 86(C).
    13. Indranil R. Bardhan & Vish V. Krishnan & Shu Lin, 2007. "Project Performance and the Enabling Role of Information Technology: An Exploratory Study on the Role of Alignment," Manufacturing & Service Operations Management, INFORMS, vol. 9(4), pages 579-595, May.
    14. Abdallah Q. Bataineh & Ghaith M. Al-Abdallah & Anas Y. Alhadid, 2015. "The Role of Information Technology Capabilities in Capitalizing Market Agility in Jordanian Telecommunications Sector," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 5(8), pages 90-101, August.
    15. Say Yen Teoh & Shan L. Pan & Anand M. Ramchand, 2012. "Resource management activities in healthcare information systems: A process perspective," Information Systems Frontiers, Springer, vol. 14(3), pages 585-600, July.

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