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Optimisation of resource management in construction projects: A big data approach

Kusimo, Habeeb; Oyedele, Lukumon; Akinade, Olugbenga; Oyedele, Ahmed; Abioye, Sofiat; Agboola, Alirat; Mohammed-Yakub, Naimah

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Authors

Habeeb Kusimo Habeeb.Kusimo@uwe.ac.uk
Research Associate - Digital Construction with Big Data

Lukumon Oyedele L.Oyedele@uwe.ac.uk
Professor in Enterprise & Project Management

Olugbenga Akinade Olugbenga.Akinade@uwe.ac.uk
Associate Professor - AR/VR Development with Artificial Intelligence

Ahmed Oyedele

Alirat Agboola



Abstract

Purpose – The purpose of this paper is to identify challenges faced in resource management in the UK construction industry and to propose some solutions to these problems. Design/methodology/approach – Based on a qualitative research methodology, 14 experts from the UK construction industry were chosen to be participants in the study. The participants were equally divided into two focus groups to discuss resource management using five projects as case studies. Thematic analysis of the discussion reveals seven key factors that affect resource management. Findings – The results show that most of the problems identified are due to poor data management processes and the practice of having data in silos. Overcoming this challenge requires the adoption of big data approaches for resource management to allow the integration of large and different forms of data. Originality/value – This study seeks to bring to the fore challenges faced in resource management by the UK construction industry and to outline some solutions to address them.

Journal Article Type Article
Acceptance Date Dec 6, 2018
Online Publication Date Jan 21, 2019
Publication Date Jan 1, 2019
Deposit Date Dec 10, 2018
Publicly Available Date Feb 8, 2019
Journal World Journal of Science, Technology and Sustainable Development
Electronic ISSN 2042-5945
Publisher Emerald
Peer Reviewed Peer Reviewed
Volume 16
Issue 2
Pages 82-93
DOI https://doi.org/10.1108/WJSTSD-05-2018-0044
Public URL https://uwe-repository.worktribe.com/output/853616
Publisher URL https://doi.org/10.1108/WJSTSD-05-2018-0044
Additional Information Additional Information : This is the author's accepted manuscript. The final published version is available here: https://doi.org/10.1108/WJSTSD-05-2018-0044
Contract Date Dec 10, 2018

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