Sikiru Ganiyu Sikiru.Ganiyu@uwe.ac.uk
Research Fellow - Augmented Reality Application Development with BIM
BIM competencies for delivering waste-efficient building projects in a circular economy
Ganiyu, Sikiru Abiodun; Oyedele, Lukumon O.; Akinade, Olugbenga; Owolabi, Hakeem; Akanbi, Lukman; Gbadamosi, Abdul-Quayyum
Authors
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
Hakeem Owolabi Hakeem.Owolabi@uwe.ac.uk
Associate Professor - Project Analytics and Digital Enterprise
Dr Lukman Akanbi Lukman.Akanbi@uwe.ac.uk
Associate Professor - Big Data Application Developer
Abdul-Quayyum Gbadamosi
Abstract
Competency measures are increasingly becoming effective ways for construction organizations to measure their ability to deliver waste-efficient projects. Despite the ongoing efforts in achieving the goals of the circular economy through BIM adoption, there is still a paucity of studies on building information modeling (BIM) competencies for delivering waste-efficient building projects. This paper, therefore, aims to identify and investigate critical BIM competencies for delivering waste-efficient building projects in a circular economy. The study adopts a pluralistic approach, using a combination of the review of extant literature, focus group discussions and questionnaire survey. Analysis of the focus group discussion along with the result of the literature review revealed forty-three preliminary BIM competencies, which were subjected to rigorous statistical analyses. Four broad categories of BIM competencies for delivering waste-efficient building projects emerged from the analyses. These are project management-related, construction-related, procurement-related, and design-related BIM competencies. Construction firms could use the BIM competencies identified in this study to enhance the delivery of waste-efficient building projects as well as assess their BIM competency requirements at an individual and organizational level.
Journal Article Type | Article |
---|---|
Acceptance Date | Nov 29, 2020 |
Online Publication Date | Dec 3, 2020 |
Publication Date | Nov 1, 2020 |
Deposit Date | Jan 27, 2021 |
Publicly Available Date | Jan 28, 2021 |
Journal | Developments in the Built Environment |
Print ISSN | 2666-1659 |
Electronic ISSN | 2666-1659 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 4 |
Pages | 100036 |
DOI | https://doi.org/10.1016/j.dibe.2020.100036 |
Keywords | Building information modeling, BIM competencies, Circular economy, Construction project, Waste-efficient project |
Public URL | https://uwe-repository.worktribe.com/output/7039166 |
Additional Information | This article is maintained by: Elsevier; Article Title: BIM competencies for delivering waste-efficient building projects in a circular economy; Journal Title: Developments in the Built Environment; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.dibe.2020.100036; Content Type: article; Copyright: © 2020 The Authors. Published by Elsevier Ltd. |
Files
BIM competencies for delivering waste-efficient building projects in a circular economy
(964 Kb)
PDF
Licence
http://creativecommons.org/licenses/by-nc-nd/4.0/
Publisher Licence URL
http://creativecommons.org/licenses/by-nc-nd/4.0/
You might also like
Data-driven tools for building energy consumption prediction: A review
(2023)
Journal Article
Construction site layout planning methods: An analytical review
(2021)
Presentation / Conference Contribution
Reducing waste to landfill: A need for cultural change in the UK construction industry
(2016)
Journal Article
Downloadable Citations
About UWE Bristol Research Repository
Administrator e-mail: repository@uwe.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search