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Four-pronged decision support framework for implementing industrialized construction projects

Ibrahim Yahaya Wuni (Department of Building and Real Estate, The Hong Kong Polytechnic University, Kowloon, Hong Kong)
Geoffrey Qiping Shen (Department of Building and Real Estate, The Hong Kong Polytechnic University, Kowloon, Hong Kong)
Adedayo Johnson Ogungbile (Department of Building and Real Estate, The Hong Kong Polytechnic University, Kowloon, Hong Kong)
Jonathan Zinzi Ayitey (Department of Land Economy, Kwame Nkrumah University of Science and Technology, Kumasi, GhanaGhanaGhanaGhana)

Construction Innovation

ISSN: 1471-4175

Article publication date: 15 October 2021

Issue publication date: 28 February 2022

247

Abstract

Purpose

Industrialized construction (IC) is promoted to address some of the ills associated with the processes and products of the traditional construction approach. With several successful projects, IC is progressively becoming a preferred alternative construction approach and spurred the interest of contractors, developers and housing authorities in the technology. Increasingly, these stakeholders are keen to ascertain the compatibility and feasibility of using IC in their projects. This paper aims to develop a knowledge-based decision support framework for implementing industrialized construction projects (ICPs) that can facilitate better and informed decision-making when deciding to implement ICPs.

Design/methodology/approach

A comprehensive literature review was implemented to recruit 40 decision support factors (DSFs) and grouped into project requirements, location and site attribute, labour considerations and organizational factors. A 3-member expert panel validated the relevance of 35 DSFs, which became candidates for a structured questionnaire survey of experts in 18 countries. Statistical techniques are used to evaluate and prioritize the DSFs, leading to the development of a conceptual framework.

Findings

Statistical analysis revealed 33 significant DSFs. The top five most significant factors that could influence the decision to implement IC in a project include a stringent requirement for project quality control, suitability of the design for IC, organizational readiness and competencies in ICPs, client receptivity to IC and the need to minimize field construction time. A framework of project requirements, location and site attributes, labour considerations and organizational factors was proposed as decision support.

Practical implications

The proposed framework may help to inform decision-making regarding the implementation of IC in a project. It has wider applicability because it includes technical, managerial and operational aspects of and the required competencies for IC, which are shared between project types and territories. The prioritized DSFs could be used as a guide when implementing IC, especially in countries where bespoke decision support systems cannot be developed.

Originality/value

The paper delineated the most important DSFs that are shared between IC project types and territories and can be used to investigate the compatibility of using IC in a proposed project. This research constitutes the first exclusive attempt at delineating, quantifying and ranking the sets of decision-making factors, drawing on international data set and contributes to the empirical checklist of DSFs for ICPs.

Keywords

Acknowledgements

This research received full funding from the Hong Kong Research Grants Council, University Grants Committee (RGC, UGC) and the Hong Kong Polytechnic University under the Hong Kong PhD Fellowship Scheme (PF17 – 00649). However, the conclusions do not represent the position of the funding bodies but those of the authors.

Citation

Wuni, I.Y., Shen, G.Q., Ogungbile, A.J. and Ayitey, J.Z. (2022), "Four-pronged decision support framework for implementing industrialized construction projects", Construction Innovation, Vol. 22 No. 2, pp. 263-283. https://doi.org/10.1108/CI-11-2020-0184

Publisher

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Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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