Complexity for megaprojects in the energy sector

Kian Manesh Rad, E., Sun, M. ORCID: 0000-0002-7463-0246 and Bosché, F., 2017. Complexity for megaprojects in the energy sector. Journal of Management in Engineering, 33 (4): 04017009. ISSN 0742-597X

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Megaprojects are characterised by their large-scale capital costs, long duration and extraordinary levels of technical and process complexity. Empirical data demonstrate that these projects experience alarming rates of failure. One of the main causes of such project failure is the high level of complexity and the absence of effective tools to assess and manage it. This study develops a new project complexity assessment method, which is specifically aimed at megaprojects in the energy sector. The assessment method contains a taxonomy of 51 complexity indicators and their consolidated weights, which are established through a novel Delphi-AHP Group Decision Making method. Numerical Scoring criteria for all indicators are defined on the basis of synthesis of existing knowledge of megaprojects to facilitate the application of the new method. It is reviewed and evaluated by experts and tested through a case study energy megaproject.

Item Type: Journal article
Publication Title: Journal of Management in Engineering
Creators: Kian Manesh Rad, E., Sun, M. and Bosché, F.
Publisher: American Society of Civil Engineers (ASCE)
Date: July 2017
Volume: 33
Number: 4
ISSN: 0742-597X
Divisions: Schools > School of Architecture, Design and the Built Environment
Record created by: Jill Tomkinson
Date Added: 08 Aug 2018 10:45
Last Modified: 08 Aug 2018 10:45

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