Using project demand profiling to improve the effectiveness and efficiency of infrastructure projects

Abstract

Purpose The purpose of this paper is to explore the applicability and utility of supply chain (SC) segmentation through demand profiling to improve the effectiveness and efficiency of infrastructure projects by identifying different types of project demand profiles. Design/methodology/approach A three-stage abductive research design was adopted. Stage 1 explored the applicability of SC segmentation, through demand profiling, to the portfolio of infrastructure projects in a utility company. Stage 2 was an iterative process of “theory matching”, to the portfolio, programme and project management literature. In stage 3, theoretical saturation was reached and “theory suggestions” were made through four propositions. Findings Four propositions outline how SC segmentation through project demand profiling could improve the effectiveness and efficiency of infrastructure projects. P1: the ability to recognise the different demand profiles of individual projects, and groups thereof, is a portfolio management necessity. P2: projects that contribute to the strategic upgrade of a capital asset should be considered a potential programme of inter-related repeatable projects whose delivery would benefit from economies of repetition. P3: the greater the ability to identify different demand profiles of individual/groups of projects, the greater the delivery efficiency. P4: economies of repetition developed through efficient delivery of programmes of repeatable projects can foster greater efficiency in the delivery of innovative projects through economies of recombination. Originality/value This work fills a gap in the portfolio management literature, suggesting that the initial screening, selection and prioritisation of project proposals should be expanded to recognise not only the project type, but also each project’s demand profile.

Publication DOI: https://doi.org/10.1108/IJOPM-02-2017-0095
Divisions: College of Business and Social Sciences > Aston Business School > Operations & Information Management
College of Business and Social Sciences > Aston Business School
Additional Information: © Emerald Publishing Limited 2018 Published by Emerald Publishing Limited Licensed re-use rights only
Publication ISSN: 1758-6593
Last Modified: 04 Mar 2024 08:29
Date Deposited: 21 Dec 2018 13:11
Full Text Link: https://researc ... ctiveness-and-e
Related URLs: https://www.eme ... PM-02-2017-0095 (Publisher URL)
PURE Output Type: Article
Published Date: 2018-06-04
Accepted Date: 2018-02-22
Authors: Godsell, Janet
Masi, Donato (ORCID Profile 0000-0002-4553-3244)
Karatzas, Antonios
Brady, Timothy Mark

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