Locatelli, G, Mancini, M and Ishimwe, A (2014) How can System Engineering Improve Supplier Management in Megaprojects? In: Procedia - Social and Behavioral Sciences. 27th IPMA (International Project Management Association), World Congress, 30 Sep - 03 Oct 2013, Dubrovnik, Croatia. Elsevier , pp. 510-518.
Abstract
Megaprojects are frequently delivered with very poor project management performance. Poor performance consists of cost and time escalation, poor outcome quality and shortfall benefits. This is due to several reasons such as intrinsic complexity, biased forecasts, conscious misinformation about costs and benefits, poor stakeholder management. Concerning project stakeholders there are three main criticalities: (1) opportunistic behaviour; (2) lack of skills and know-how; and (3) poor communication and coordination. Systems Engineering (SE) is both a technical and managerial approach to manage complex projects, in particular megaprojects. SE can enable project managers to properly manage stakeholders optimizing the trade-off between a short project planning and a detailed holistic stakeholder analysis. The purpose of this paper is to present a framework enabling managers: (1) to select and manage suppliers in order to enforce supplier coordination and to prevent opportunistic behaviour; and (2) to decide how to involve suppliers in different projects, present or future, considering past projects performance.
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2014 The Authors. Published by Elsevier Ltd. This is an open access article under the terms of the Creative Commons Attribution License CC-BY. |
Keywords: | Systems Engineering; stakeholders; megaprojects performance; suppliers; portfolio |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds) > Institute for Resilient Infrastructure (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 07 Jun 2016 14:33 |
Last Modified: | 07 Jun 2016 14:33 |
Published Version: | http://dx.doi.org/10.1016/j.sbspro.2014.03.057 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.sbspro.2014.03.057 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:97195 |