ARTIFICIAL INTELLIGENCE TECHNOLOGY APPLICATIONS IN BUILDING CONSTRUCTION PRODUCTIVITY: A SYSTEMATIC LITERATURE REVIEW

被引:1
作者
Adebowale, Oluseyi [1 ]
Agumba, Justus [1 ]
机构
[1] Tshwane Univ Technol, Dept Bldg Sci, Pretoria, South Africa
关键词
Artificial intelligence; building construction; productivity; systematic literature review; technology; LABOR PRODUCTIVITY; REAL-TIME; AUTOMATION; IMPLEMENTATION; ROBOTICS;
D O I
10.38140/as.v30i2.7326
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Artificial Intelligence (AI) holds the potential to revolutionise the construction industry, by enhancing productivity and addressing the challenges posed by a skills shortage. Historically resistant to technological innovation, the construction sector lags behind other industries that have embraced innovative technologies to boost productivity. This study investigates AI technologies that can be used to improve construction productivity, as well as the barriers impeding the widespread adoption of AI in the construction sector. The research adheres to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. A systematic review of scholarly journal articles and conference papers sourced from the Scopus database was conducted, employing relevant screening criteria to select the most pertinent sources aligned with the research objectives. Although AI applications in building construction are still emerging, AI technologies have been successfully deployed in various aspects of building construction. These include floor slab construction,
引用
收藏
页码:161 / 195
页数:35
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