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

dc.contributor.authorKusimo, Habeeb
dc.contributor.authorOyedele, Lukumon
dc.contributor.authorAkinade, Olugbenga
dc.contributor.authorOyedele, Ahmed
dc.contributor.authorAbioye, Sofiat
dc.contributor.authorAgboola, Alirat
dc.contributor.authorMohammed-Yakub, Naimah
dc.date.accessioned2026-02-06T18:49:32Z
dc.date.issued2019
dc.departmentDoğu Akdeniz Üniversitesi
dc.description.abstractPurpose 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.
dc.identifier.doi10.1108/WJSTSD-05-2018-0044
dc.identifier.endpage93
dc.identifier.issn2042-5953
dc.identifier.issn2042-5945
dc.identifier.issue2
dc.identifier.orcid0000-0003-1172-6715
dc.identifier.scopus2-s2.0-85087353118
dc.identifier.scopusqualityQ1
dc.identifier.startpage82
dc.identifier.urihttps://doi.org/10.1108/WJSTSD-05-2018-0044
dc.identifier.urihttps://hdl.handle.net/11129/14945
dc.identifier.volume16
dc.identifier.wosWOS:000469094600002
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherEmerald Group Publishing Ltd
dc.relation.ispartofWorld Journal of Science Technology and Sustainable Development
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260204
dc.subjectConstruction projects
dc.subjectResource management
dc.subjectBig data
dc.subjectResource allocation
dc.subjectResource optimization
dc.titleOptimisation of resource management in construction projects: a big data approach
dc.typeArticle

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