Optimisation of resource management in construction projects: a big data approach
| dc.contributor.author | Kusimo, Habeeb | |
| dc.contributor.author | Oyedele, Lukumon | |
| dc.contributor.author | Akinade, Olugbenga | |
| dc.contributor.author | Oyedele, Ahmed | |
| dc.contributor.author | Abioye, Sofiat | |
| dc.contributor.author | Agboola, Alirat | |
| dc.contributor.author | Mohammed-Yakub, Naimah | |
| dc.date.accessioned | 2026-02-06T18:49:32Z | |
| dc.date.issued | 2019 | |
| dc.department | Doğu Akdeniz Üniversitesi | |
| dc.description.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. | |
| dc.identifier.doi | 10.1108/WJSTSD-05-2018-0044 | |
| dc.identifier.endpage | 93 | |
| dc.identifier.issn | 2042-5953 | |
| dc.identifier.issn | 2042-5945 | |
| dc.identifier.issue | 2 | |
| dc.identifier.orcid | 0000-0003-1172-6715 | |
| dc.identifier.scopus | 2-s2.0-85087353118 | |
| dc.identifier.scopusquality | Q1 | |
| dc.identifier.startpage | 82 | |
| dc.identifier.uri | https://doi.org/10.1108/WJSTSD-05-2018-0044 | |
| dc.identifier.uri | https://hdl.handle.net/11129/14945 | |
| dc.identifier.volume | 16 | |
| dc.identifier.wos | WOS:000469094600002 | |
| dc.identifier.wosquality | N/A | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | Emerald Group Publishing Ltd | |
| dc.relation.ispartof | World Journal of Science Technology and Sustainable Development | |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.snmz | KA_WoS_20260204 | |
| dc.subject | Construction projects | |
| dc.subject | Resource management | |
| dc.subject | Big data | |
| dc.subject | Resource allocation | |
| dc.subject | Resource optimization | |
| dc.title | Optimisation of resource management in construction projects: a big data approach | |
| dc.type | Article |










