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

被引:11
|
作者
Kusimo, Habeeb [1 ]
Oyedele, Lukumon [2 ]
Akinade, Olugbenga [2 ]
Oyedele, Ahmed [3 ]
Abioye, Sofiat [1 ]
Agboola, Alirat [4 ]
Mohammed-Yakub, Naimah [1 ]
机构
[1] Univ West England Bristol, Fac Business & Law, Bristol, Avon, England
[2] Univ West England Bristol, Big Data Analyt Lab, Bristol, Avon, England
[3] Eastern Mediterranean Univ, Gazimagusa, Cyprus
[4] Obafemi Awolowo Univ, Fac EDM, Ife, Nigeria
关键词
Construction projects; Resource management; Big data; Resource allocation; Resource optimization; ALLOCATION;
D O I
10.1108/WJSTSD-05-2018-0044
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页码:82 / 93
页数:12
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