All Outputs (62)

Designing out construction waste using BIM technology: Stakeholders’ expectations for industry deployment (2018)
Journal Article
Akinade, O., Oyedele, L., Ajayi, S., Bilal, M., Alaka, H. A., Owolabi, H., & Arawomo, O. (2018). Designing out construction waste using BIM technology: Stakeholders’ expectations for industry deployment. Journal of Cleaner Production, 180, 375-385. https://doi.org/10.1016/j.jclepro.2018.01.022

© 2018 The Authors The need to use Building Information Modelling (BIM) for Construction and Demolition Waste (CDW) minimisation is well documented but most of the existing CDW management tools still lack BIM functionality. This study therefore asses... Read More about Designing out construction waste using BIM technology: Stakeholders’ expectations for industry deployment.

A framework for big data analytics approach to failure prediction of construction firms (2018)
Journal Article
Alaka, H. A., Oyedele, L. O., Owolabi, H. A., Bilal, M., Ajayi, S. O., & Akinade, O. O. (2020). A framework for big data analytics approach to failure prediction of construction firms. Applied Computing and Informatics, 16(1/2), 207-222. https://doi.org/10.1016/j.aci.2018.04.003

This study explored use of big data analytics (BDA) to analyse data of a large number of construction firms to develop a construction business failure prediction model (CB-FPM). Careful analysis of literature revealed financial ratios as the best for... Read More about A framework for big data analytics approach to failure prediction of construction firms.

Salvaging building materials in a circular economy: A BIM-based whole-life performance estimator (2017)
Journal Article
Akanbi, L. A., Oyedele, L., Akinade, O., Ajayi, A. O., Davila Delgado, M., Bilal, M., & Bello, S. A. (2018). Salvaging building materials in a circular economy: A BIM-based whole-life performance estimator. Resources, Conservation and Recycling, 129, 175-186. https://doi.org/10.1016/j.resconrec.2017.10.026

© 2017 The Author(s) The aim of this study is to develop a BIM-based Whole-life Performance Estimator (BWPE) for appraising the salvage performance of structural components of buildings right from the design stage. A review of the extant literature w... Read More about Salvaging building materials in a circular economy: A BIM-based whole-life performance estimator.

Systematic review of bankruptcy prediction models: Towards a framework for tool selection (2017)
Journal Article
Alaka, H. A., Oyedele, L., Owolabi, H. A., Kumar, V., Ajayi, S. O., Akinade, O., & Bilal, M. (2018). Systematic review of bankruptcy prediction models: Towards a framework for tool selection. Expert Systems with Applications, 94, 164-184. https://doi.org/10.1016/j.eswa.2017.10.040

© 2017 Elsevier Ltd The bankruptcy prediction research domain continues to evolve with many new different predictive models developed using various tools. Yet many of the tools are used with the wrong data conditions or for the wrong situation. Using... Read More about Systematic review of bankruptcy prediction models: Towards a framework for tool selection.

Energy security and responses to climate change in Nigeria (2017)
Presentation / Conference
Olawale, O. A., Owolabi, H. A., Oyedele, L., Owolabi, A., & Akinade, O. (2017, May). Energy security and responses to climate change in Nigeria. Paper presented at Environmental Design and Management International Conference, Obafemi Awolowo University, Ile-Ife, Osun state, Nigeria

This study examined energy security and the impact of climate change in Nigeria including the diverse policy and institutional strategies so far adopted by Nigerian government to mitigate its impact on the populace and environs. Using a content-drive... Read More about Energy security and responses to climate change in Nigeria.

The application of web of data technologies in building materials information modelling for construction waste analytics (2017)
Journal Article
Bilal, M., Oyedele, L. O., Munir, K., Ajayi, S. O., Akinade, O. O., Owolabi, H. A., & Alaka, H. A. (2017). The application of web of data technologies in building materials information modelling for construction waste analytics. Sustainable Materials and Technologies, 11, 28-37. https://doi.org/10.1016/j.susmat.2016.12.004

© 2017 Elsevier B.V. Predicting and designing out construction waste in real time is complex during building waste analysis (BWA) since it involves a large number of analyses for investigating multiple waste-efficient design strategies. These analyse... Read More about The application of web of data technologies in building materials information modelling for construction waste analytics.

Attributes of design for construction waste minimization: A case study of waste-to-energy project (2017)
Journal Article
Ajayi, S. O., Oyedele, L. O., Akinade, O. O., Bilal, M., Alaka, H. A., Owolabi, H. A., & Kadiri, K. O. (2017). Attributes of design for construction waste minimization: A case study of waste-to-energy project. Renewable and Sustainable Energy Reviews, 73, 1333-1341. https://doi.org/10.1016/j.rser.2017.01.084

© 2017 Elsevier Ltd Despite the consensus that waste efficient design is important for reducing waste generated by construction and demolition activities, design strategies for actual waste mitigation remain unclear. In addition, decisive roles requi... Read More about Attributes of design for construction waste minimization: A case study of waste-to-energy project.

BIM-based deconstruction tool: Towards essential functionalities (2017)
Journal Article
Akinade, O. O., Oyedele, L. O., Omoteso, K., Ajayi, S. O., Bilal, M., Owolabi, H. A., …Looney, J. H. (2017). BIM-based deconstruction tool: Towards essential functionalities. International Journal for Sustainable Built Environment, 6(1), 260-271. https://doi.org/10.1016/j.ijsbe.2017.01.002

© 2017 The Gulf Organisation for Research and Development This study discusses the future directions of effective Design for Deconstruction (DfD) using BIM-based approach to design coordination. After a review of extant literatures on existing DfD pr... Read More about BIM-based deconstruction tool: Towards essential functionalities.

Optimising material procurement for construction waste minimization: An exploration of success factors (2017)
Journal Article
Ajayi, S. O., Oyedele, L. O., Akinade, O. O., Bilal, M., Alaka, H. A., & Owolabi, H. A. (2017). Optimising material procurement for construction waste minimization: An exploration of success factors. Sustainable Materials and Technologies, 11, 38-46. https://doi.org/10.1016/j.susmat.2017.01.001

© 2017 Elsevier B.V. Although construction waste occurs during the actual construction activities, there is an understanding that it is caused by activities and actions at design, materials procurement and construction stages of project delivery proc... Read More about Optimising material procurement for construction waste minimization: An exploration of success factors.

Insolvency of small civil engineering firms: Critical strategic factors (2016)
Journal Article
Alaka, H. A., Oyedele, L. O., Owolabi, H. A., Bilal, M., Ajayi, S. O., & Akinade, O. O. (2017). Insolvency of small civil engineering firms: Critical strategic factors. Journal of Professional Issues in Engineering Education and Practice, 143(3), 04016026. https://doi.org/10.1061/%28ASCE%29EI.1943-5541.0000321

© 2016 American Society of Civil Engineers. Construction industry insolvency studies have failed to stem the industry's high insolvency tide because many focus on big civil engineering firms (CEF) when over 90% of firms in the industry are small or m... Read More about Insolvency of small civil engineering firms: Critical strategic factors.

Critical management practices influencing on-site waste minimization in construction projects (2016)
Journal Article
Ajayi, S. O., Oyedele, L. O., Bilal, M., Akinade, O. O., Alaka, H. A., & Owolabi, H. A. (2017). Critical management practices influencing on-site waste minimization in construction projects. Waste Management, 59, 330-339. https://doi.org/10.1016/j.wasman.2016.10.040

© 2016 Elsevier Ltd As a result of increasing recognition of effective site management as the strategic approach for achieving the required performance in construction projects, this study seeks to identify the key site management practices that are... Read More about Critical management practices influencing on-site waste minimization in construction projects.

Design for Deconstruction (DfD): Critical success factors for diverting end-of-life waste from landfills (2016)
Journal Article
Akinade, O. O., Oyedele, L. O., Ajayi, S. O., Bilal, M., Alaka, H. A., Owolabi, H. A., …Kadiri, K. O. (2017). Design for Deconstruction (DfD): Critical success factors for diverting end-of-life waste from landfills. Waste Management, 60, 3-13. https://doi.org/10.1016/j.wasman.2016.08.017

© 2016 Elsevier Ltd The aim of this paper is to identify Critical Success Factors (CSF) needed for effective material recovery through Design for Deconstruction (DfD). The research approach employed in this paper is based on a sequential exploratory... Read More about Design for Deconstruction (DfD): Critical success factors for diverting end-of-life waste from landfills.

Methodological approach of construction business failure prediction studies: a review (2016)
Journal Article
Alaka, H. A., Oyedele, L. O., Owolabi, H. A., Ajayi, S. O., Bilal, M., & Akinade, O. O. (2016). Methodological approach of construction business failure prediction studies: a review. Construction Management and Economics, 34(11), 808-842. https://doi.org/10.1080/01446193.2016.1219037

© 2016 Informa UK Limited, trading as Taylor & Francis Group. Performance of bankruptcy prediction models (BPM), which partly depends on the methodological approach used to develop it, has virtually stagnated over the years. The methodological posi... Read More about Methodological approach of construction business failure prediction studies: a review.

Big Data in the construction industry: A review of present status, opportunities, and future trends (2016)
Journal Article
Bilal, M., Oyedele, L. O., Qadir, J., Munir, K., Ajayi, S. O., Akinade, O. O., …Pasha, M. (2016). Big Data in the construction industry: A review of present status, opportunities, and future trends. Advanced Engineering Informatics, 30(3), 500-521. https://doi.org/10.1016/j.aei.2016.07.001

© 2016 Elsevier Ltd The ability to process large amounts of data and to extract useful insights from data has revolutionised society. This phenomenon—dubbed as Big Data—has applications for a wide assortment of industries, including the construction... Read More about Big Data in the construction industry: A review of present status, opportunities, and future trends.

Competency-based measures for designing out construction waste: Task and contextual attributes (2016)
Journal Article
Ajayi, S. O., Oyedele, L. O., Kadiri, K. O., Akinade, O. O., Bilal, M., Owolabi, H. A., & Alaka, H. A. (2016). Competency-based measures for designing out construction waste: Task and contextual attributes. Engineering, Construction and Architectural Management, 23(4), 464-490. https://doi.org/10.1108/ECAM-06-2015-0095

© Emerald Group Publishing Limited. Purpose - Competency-based measure is increasingly evident as an effective approach to tailoring training and development for organisational change and development. With design stage widely reckoned as being decisi... Read More about Competency-based measures for designing out construction waste: Task and contextual attributes.

Critical factors for insolvency prediction: Towards a theoretical model for the construction industry (2016)
Journal Article
Alaka, H. A., Oyedele, L. O., Owolabi, H. A., Oyedele, A. A., Akinade, O. O., Bilal, M., & Ajayi, S. O. (2017). Critical factors for insolvency prediction: Towards a theoretical model for the construction industry. International Journal of Construction Management, 17(1), 25-49. https://doi.org/10.1080/15623599.2016.1166546

© 2016 Informa UK Limited, trading as Taylor & Francis Group. Many construction industry insolvency prediction model (CI-IPM) studies have arbitrarily employed or simply adopted from previous studies different insolvency factors, without justificat... Read More about Critical factors for insolvency prediction: Towards a theoretical model for the construction industry.

Big data architecture for construction waste analytics (CWA): A conceptual framework (2016)
Journal Article
Bilal, M., Oyedele, L. O., Akinade, O. O., Ajayi, S. O., Alaka, H. A., Owolabi, H. A., …Bello, S. A. (2016). Big data architecture for construction waste analytics (CWA): A conceptual framework. Journal of Building Engineering, 6, 144-156. https://doi.org/10.1016/j.jobe.2016.03.002

© 2016 Elsevier Ltd. All rights reserved. In recent times, construction industry is enduring pressure to take drastic steps to minimise waste. Waste intelligence advocates retrospective measures to manage waste after it is produced. Existing waste in... Read More about Big data architecture for construction waste analytics (CWA): A conceptual framework.

Reducing waste to landfill: A need for cultural change in the UK construction industry (2016)
Journal Article
Kadiri, K. O., Alaka, H. A., Ajayi, S. O., Oyedele, L., Akinade, O., Bilal, M., & Owolabi, H. (2016). Reducing waste to landfill: A need for cultural change in the UK construction industry. Journal of Building Engineering, 5, 185-193. https://doi.org/10.1016/j.jobe.2015.12.007

© 2015 Elsevier Ltd. All rights reserved. Owing to its contribution of largest portion of landfill wastes and consumption of about half of mineral resources excavated from nature, construction industry has been pressed to improve its sustainability.... Read More about Reducing waste to landfill: A need for cultural change in the UK construction industry.

Evaluation criteria for construction waste management tools: Towards a holistic BIM framework (2016)
Journal Article
Ajayi, S. O., Akinade, O., Oyedele, L., Munir, K., Bilal, M., Owolabi, H. A., …Bello, S. A. (2016). Evaluation criteria for construction waste management tools: Towards a holistic BIM framework. International Journal of Sustainable Building Technology and Urban Development, 7(1), 3-21. https://doi.org/10.1080/2093761X.2016.1152203

© 2016 Informa UK Limited, trading as Taylor & Francis Group. This study identifies evaluation criteria with the goal of appraising the performance of existing construction waste management tools and employing the results in the development of a ho... Read More about Evaluation criteria for construction waste management tools: Towards a holistic BIM framework.

Waste minimisation through deconstruction: A BIM based Deconstructability Assessment Score (BIM-DAS) (2015)
Journal Article
Akinade, O. O., Oyedele, L. O., Bilal, M., Ajayi, S. O., Owolabi, H. A., Alaka, H. A., & Bello, S. A. (2015). Waste minimisation through deconstruction: A BIM based Deconstructability Assessment Score (BIM-DAS). Resources, Conservation and Recycling, 105(Part A), 167-176. https://doi.org/10.1016/j.resconrec.2015.10.018

© 2015 Elsevier B.V. The overall aim of this study is to develop a Building Information Modelling based Deconstructability Assessment Score (BIM-DAS) for determining the extent to which a building could be deconstructed right from the design stage. T... Read More about Waste minimisation through deconstruction: A BIM based Deconstructability Assessment Score (BIM-DAS).