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Implementation of artificial intelligence for labour controlling in the construction site

This research presents a survey on the implementation of artificial intelligence for labour control in construction sites. The construction industry is famously slow to accept new technologies, and this has been a persistent issue for years. The common problems of low-skilled labour participation in...

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Main Authors:	Lim, Ai Nee, Kasim, Narimah, Musa, Sharifah Meryam Shareh, Mohd Noh, Hamidun
Format:	Conference or Workshop Item
Language:	English
Published:	2024
Subjects:	TH Building construction
Online Access:	http://eprints.uthm.edu.my/12133/1/P16877_5308214174b693b391cf0dab03429c27.pdf%2020.pdf http://eprints.uthm.edu.my/12133/ https://doi.org/10.30880/rmtb.2024.05.01.076
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id	my.uthm.eprints.12133
record_format	eprints
spelling	my.uthm.eprints.121332024-12-01T04:30:06Z http://eprints.uthm.edu.my/12133/ Implementation of artificial intelligence for labour controlling in the construction site Lim, Ai Nee Kasim, Narimah Musa, Sharifah Meryam Shareh Mohd Noh, Hamidun TH Building construction This research presents a survey on the implementation of artificial intelligence for labour control in construction sites. The construction industry is famously slow to accept new technologies, and this has been a persistent issue for years. The common problems of low-skilled labour participation in construction have been attributed to unfair wages, poor safety on construction sites, a lack of defined career paths, a decline in skilled labour training programs, and delays in the on-site work schedule. Therefore, this research was carried out to identify challenges, potential, and steps to improve the Artificial intelligence implementation for labour control in the construction site. To accomplish the objectives, the research was conducted with the quantitative approach by using questionnaires as the instrument to collect the primary data. There were 234 respondents among G7 contractors selected at Penang state for this research. For this research, 132 respondents have been successfully collected. Statistical Package for the Social Science (SPSS) software was utilized to analyse the collected data in descriptive methods to determine the frequency and mean score values. Besides, secondary data information was obtained through various references such as journals, articles, websites, or reports related to the implementation of artificial Intelligence for labour control in the construction site. Moreover, the result showed that the biggest challenges of AI implementation was higher cost for hiring AI expert, and the potential of AI implementation was providing critical information on threats to labour, as well as the improvement steps of AI implementation was providing an AI training program. In conclusion, this research provided a better understanding of the AI implementation for labour controlling at construction sites 2024-06-30 Conference or Workshop Item PeerReviewed text en http://eprints.uthm.edu.my/12133/1/P16877_5308214174b693b391cf0dab03429c27.pdf%2020.pdf Lim, Ai Nee and Kasim, Narimah and Musa, Sharifah Meryam Shareh and Mohd Noh, Hamidun (2024) Implementation of artificial intelligence for labour controlling in the construction site. In: RESEARCH IN MANAGEMENT OF TECHNOLOGY AND BUSINESS. https://doi.org/10.30880/rmtb.2024.05.01.076
institution	Universiti Tun Hussein Onn Malaysia
building	UTHM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tun Hussein Onn Malaysia
content_source	UTHM Institutional Repository
url_provider	http://eprints.uthm.edu.my/
language	English
topic	TH Building construction
spellingShingle	TH Building construction Lim, Ai Nee Kasim, Narimah Musa, Sharifah Meryam Shareh Mohd Noh, Hamidun Implementation of artificial intelligence for labour controlling in the construction site
description	This research presents a survey on the implementation of artificial intelligence for labour control in construction sites. The construction industry is famously slow to accept new technologies, and this has been a persistent issue for years. The common problems of low-skilled labour participation in construction have been attributed to unfair wages, poor safety on construction sites, a lack of defined career paths, a decline in skilled labour training programs, and delays in the on-site work schedule. Therefore, this research was carried out to identify challenges, potential, and steps to improve the Artificial intelligence implementation for labour control in the construction site. To accomplish the objectives, the research was conducted with the quantitative approach by using questionnaires as the instrument to collect the primary data. There were 234 respondents among G7 contractors selected at Penang state for this research. For this research, 132 respondents have been successfully collected. Statistical Package for the Social Science (SPSS) software was utilized to analyse the collected data in descriptive methods to determine the frequency and mean score values. Besides, secondary data information was obtained through various references such as journals, articles, websites, or reports related to the implementation of artificial Intelligence for labour control in the construction site. Moreover, the result showed that the biggest challenges of AI implementation was higher cost for hiring AI expert, and the potential of AI implementation was providing critical information on threats to labour, as well as the improvement steps of AI implementation was providing an AI training program. In conclusion, this research provided a better understanding of the AI implementation for labour controlling at construction sites
format	Conference or Workshop Item
author	Lim, Ai Nee Kasim, Narimah Musa, Sharifah Meryam Shareh Mohd Noh, Hamidun
author_facet	Lim, Ai Nee Kasim, Narimah Musa, Sharifah Meryam Shareh Mohd Noh, Hamidun
author_sort	Lim, Ai Nee
title	Implementation of artificial intelligence for labour controlling in the construction site
title_short	Implementation of artificial intelligence for labour controlling in the construction site
title_full	Implementation of artificial intelligence for labour controlling in the construction site
title_fullStr	Implementation of artificial intelligence for labour controlling in the construction site
title_full_unstemmed	Implementation of artificial intelligence for labour controlling in the construction site
title_sort	implementation of artificial intelligence for labour controlling in the construction site
publishDate	2024
url	http://eprints.uthm.edu.my/12133/1/P16877_5308214174b693b391cf0dab03429c27.pdf%2020.pdf http://eprints.uthm.edu.my/12133/ https://doi.org/10.30880/rmtb.2024.05.01.076
_version_	1817845169541611520
score	13.222552

Implementation of artificial intelligence for labour controlling in the construction site

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