Ogunrinde, Olugbenro and Ojelabi, Rapheal A. and Oyeyipo, Opeyemi (2022) SKILLED LABOR CHALLENGES AND AUTOMATION IN THE CONSTRUCTION INDUSTRY. In: OpenSPACES@UNK: Scholarship, Preservation, and Creative Endeavors.
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Abstract
Construction industry is labor-intensive, adding an average 8% gross domestic product (GDP) globally, reducing unemployment. While, a plague of skilled labor shortage and retirement persist, Covid-19 recently hastened baby boomers’ retirement, necessitating viable alternatives. Automation an alternative and despite successes, still experiences lethargic adoption and use. This study analyzed data from U.S. bureau of labor statistics using forecasting and trend, through systematic literature review 9 technologies were identified to complement these challenges, improve performance, and attract younger generation. The study revealed consistent rise and decline among 15 occupations with total separation projected rise in 2023, inciting construction stakeholders towards automation.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | T Technology > TH Building construction |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Civil Engineering and the Environment Faculty of Engineering, Science and Mathematics > School of Engineering Sciences |
| Depositing User: | nwokealisi |
| Date Deposited: | 15 Jun 2023 12:48 |
| Last Modified: | 15 Jun 2023 12:48 |
| URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/17030 |
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