Invernizzi, DC orcid.org/0000-0001-8178-9557, Locatelli, G orcid.org/0000-0001-9986-2249 and Brookes, N (2018) A methodology based on benchmarking to learn across megaprojects: the case of nuclear decommissioning. International Journal of Managing Projects in Business, 11 (1). pp. 104-121. ISSN 1753-8378
Abstract
Purpose: The literature lacks a single and universally accepted definition of major and megaprojects: usually, these projects are described as projects with a budget above $1 billion and a high level of innovation, complexity & uniqueness both in terms of physical infrastructure and stakeholder network. Moreover, they often provide fewer benefits than what were originally expected and are affected by delays and cost overruns. Despite this techno-economic magnitude, it is still extremely hard to gather lessons learned from these projects in a systematic way. This paper presents an innovative methodology based on benchmarking to investigate good and bad practices and learn from a portfolio of unique megaprojects. Design/methodology/approach: The methodology combines quantitative & qualitative cross-comparison of case studies and statistical analysis into an iterative process. Findings: Indeed, benchmarking offers significant potential to identify good and bad practices and improve the performance of project selection, planning and delivery. Research limitations/implications: The methodology is exemplified in this paper using the case of Nuclear Decommissioning Projects and Programmes (NDPs). Originality/value: Indeed, due to their characteristics, NDPs can be addressed as megaprojects, and are a relevant example for the application of the methodology presented here that collects and investigates the characteristics that mostly impact the performance of (mega)projects, through a continuous learning process.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2018, Emerald Publishing Limited. Published by Emerald Publishing Limited. This is an author produced version of a paper published in the International Journal of Managing Projects in Business. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds) |
Funding Information: | Funder Grant number National Nuclear Laboratory Limited NNL/UA/002 |
Depositing User: | Symplectic Publications |
Date Deposited: | 16 Jun 2017 08:59 |
Last Modified: | 27 Mar 2018 14:36 |
Status: | Published |
Publisher: | Emerald |
Identification Number: | 10.1108/IJMPB-05-2017-0054 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:117839 |