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The dynamics of project performance: benchmarking the drivers of cost and schedule overrun

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  • Reichelt, Kimberly
  • Lyneis, James

Abstract

Research, design, and development projects are notorious for failing to achieve cost and schedule budgets, in spite of considerable effort over the years toward improving project management. In this paper, the authors argue that the failure to improve project performance results, in large part, from models which do not treat projects as the complex dynamic systems which they are. In particular, current planning approaches fail to consider: rework (especially undiscovered rework); feedback effects, often vicious circles, which cause productivity and work quality to change over time; and the knock-on effects of performance from one project phase to another. They present empirical evidence from a sampling of large, complex development projects.

Suggested Citation

  • Reichelt, Kimberly & Lyneis, James, 1999. "The dynamics of project performance: benchmarking the drivers of cost and schedule overrun," European Management Journal, Elsevier, vol. 17(2), pages 135-150, April.
    • Handle: RePEc:eee:eurman:v:17:y:1999:i:2:p:135-150
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    Citations

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    Cited by:

    1. Chantal C. Cantarelli & Bent Flybjerg & Eric J. E. Molin & Bert van Wee, 2013. "Cost overruns in Large-Scale Transportation Infrastructure Projects: Explanations and Their Theoretical Embeddedness," Papers 1307.2176, arXiv.org.
    2. Peter E D Love & Jim Smith & Ian Simpson & Michael Regan & Oluwole Olatunji, 2015. "Understanding the Landscape of Overruns in Transport Infrastructure Projects," Environment and Planning B, , vol. 42(3), pages 490-509, June.
    3. Relich Marcin & Banaszak Zbigniew, 2011. "Reference Model of Project Prototyping Problem," Foundations of Management, Sciendo, vol. 3(1), pages 33-46, January.
    4. Brian M. Kennedy & Durward K. Sobek & Michael N. Kennedy, 2014. "Reducing Rework by Applying Set‐Based Practices Early in the Systems Engineering Process," Systems Engineering, John Wiley & Sons, vol. 17(3), pages 278-296, September.
    5. Widdi MUGIJAYANI & Shandre Titik ANAS & Erizqa MAHARDHIKA & Yolanda ORIENT, 2024. "The COVID-19 Pandemic, Structural Transformation, and Training Programme Outcomes in Indonesia," Working Papers DP-2024-15, Economic Research Institute for ASEAN and East Asia (ERIA).
    6. Temitope Seun Omotayo & Bankole Awuzie & Valerie Kenechukwu Obi & Saheed Ajayi & Lovelin Ifeoma Obi & Oluyomi Osobajo & Adekunle Oke, 2022. "The System Dynamics Analysis of Cost Overrun Causations in UK Rail Projects in a COVID-19 Epidemic Era," SAGE Open, , vol. 12(2), pages 21582440221, May.
    7. Love, Peter E.D. & Ahiaga-Dagbui, Dominic D. & Irani, Zahir, 2016. "Cost overruns in transportation infrastructure projects: Sowing the seeds for a probabilistic theory of causation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 184-194.
    8. Michael J. Pennock & Yacov Y. Haimes, 2002. "Principles and guidelines for project risk management," Systems Engineering, John Wiley & Sons, vol. 5(2), pages 89-108.

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