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Team performance and information system implementation

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  • Malgorzata Plaza

    (Ryerson University)

Abstract

Although the Earned Value Method (EVM), a multi-dimensional project control system, has been widely used since 1960, there has been little research focused specifically on its application in IS implementation. The management of IS projects—including the accurate forecasting of project duration—is complicated by the strong impact of the learning curve on the effectiveness of EVM. This study makes new contributions by advancing formulas for the accurate prediction of project duration, and by developing a decision support model in which the learning curve is fully integrated with EVM, and performance changes due to learning are isolated from other factors affecting project duration. The study makes three contributions to the understanding and use of EVM in IS implementation: (1) It provides an extended version of EVM, (2) it provides an illustration of the application of EVM to a real project situation based on empirical data from an ERP implementation project, and (3) it provides a theoretical basis for empirical studies of IS project control techniques. The decision support model can be used to determine both the learning curve coefficient and the project completion date during the early stages of a project, and it thus offers a significant practical contribution to the management of IS projects.

Suggested Citation

  • Malgorzata Plaza, 2008. "Team performance and information system implementation," Information Systems Frontiers, Springer, vol. 10(3), pages 347-359, July.
    • Handle: RePEc:spr:infosf:v:10:y:2008:i:3:d:10.1007_s10796-008-9080-9
    DOI: 10.1007/s10796-008-9080-9
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    1. Howell, Sydney D., 1990. "Parameter instability in learning curve models : Invited comments on papers by Towill and by Sharp and Price," International Journal of Forecasting, Elsevier, vol. 6(4), pages 541-547, December.
    2. Umble, Elisabeth J. & Haft, Ronald R. & Umble, M. Michael, 2003. "Enterprise resource planning: Implementation procedures and critical success factors," European Journal of Operational Research, Elsevier, vol. 146(2), pages 241-257, April.
    3. Joseph B. Mazzola & Kevin F. McCardle, 1997. "The Stochastic Learning Curve: Optimal Production in the Presence of Learning-Curve Uncertainty," Operations Research, INFORMS, vol. 45(3), pages 440-450, June.
    4. Dorroh, James R. & Gulledge, Thomas R. & Womer, Norman Keith, 1986. "A generalization of the learning curve," European Journal of Operational Research, Elsevier, vol. 26(2), pages 205-216, August.
    5. Paul S. Adler & Kim B. Clark, 1991. "Behind the Learning Curve: A Sketch of the Learning Process," Management Science, INFORMS, vol. 37(3), pages 267-281, March.
    6. Osama Moselhi & Ji Li & Sabah Alkass, 2004. "Web-based integrated project control system," Construction Management and Economics, Taylor & Francis Journals, vol. 22(1), pages 35-46.
    7. Ngwenyama, Ojelanki & Guergachi, Aziz & McLaren, Tim, 2007. "Using the learning curve to maximize IT productivity: A decision analysis model for timing software upgrades," International Journal of Production Economics, Elsevier, vol. 105(2), pages 524-535, February.
    8. Al-Mashari, Majed & Al-Mudimigh, Abdullah & Zairi, Mohamed, 2003. "Enterprise resource planning: A taxonomy of critical factors," European Journal of Operational Research, Elsevier, vol. 146(2), pages 352-364, April.
    9. Mary C. Jones, 2005. "Tacit Knowledge Sharing During ERP Implementation: A Multi-Site Case Study," Information Resources Management Journal (IRMJ), IGI Global, vol. 18(2), pages 1-23, April.
    10. Linda Argote & Sara L. Beckman & Dennis Epple, 1990. "The Persistence and Transfer of Learning in Industrial Settings," Management Science, INFORMS, vol. 36(2), pages 140-154, February.
    11. Boyan Jovanovic & Yaw Nyarko, 1995. "A Bayesian Learning Model Fitted to a Variety of Empirical Learning Curves," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 26(1995 Micr), pages 247-305.
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    Cited by:

    1. Chulhwan Chris Bang, 2015. "Information systems frontiers: Keyword analysis and classification," Information Systems Frontiers, Springer, vol. 17(1), pages 217-237, February.

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