Optimisation of resource management in construction projects: a big data approach, Habeeb Kusimo, Prof. Lukumon Oyedele, Olugbenga Akinade, Ahmed Oyedele, Sofiat Abioye, Alirat Agboola and Naimah Mohammed-Yakub
Habeeb Kusimo, Sofiat Abioye, Naimah Mohammed-Yakub
Faculty of Business and Law
University of the West of England Bristol, Bristol
UK
Email: habeeb.kusimo@uwe.ac.uk
Prof. Lukumon Oyedele, Olugbenga Akinade
Big Data Analytics Laboratory
University of the West of England Bristol, Bristol
UK
Ahmed Oyedele
Eastern Mediterranean University, Famagusta
Cyprus
Alirat Agboola
Faculty of EDM
Obafemi Awolowo University, Ile-Ife
Nigeria
DOI: 10.1108/WJSTSD-05-2018-0044
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.
Keywords: Construction projects; Resource management; Big data; Resource allocation; Resource optimization.
Citation: Kusimo, H., Oyedele, L., Akinade, O., Oyedele, A., Abioye, S., Agboola, A. and Mohammed-Yakub, N. (2019), "Optimisation of resource management in construction projects: a big data approach", World Journal of Science, Technology and Sustainable Development, Vol. 16 No. 2, pp. 82-93. https://doi.org/10.1108/WJSTSD-05-2018-0044
