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Knowledge management for off-site construction

delete2024-10-01
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张振 封面图
张振 (Zhen Zhang)
Z
Zou, Yang *
B
Brian H.W. Guo
J
Johannes Dimyadi
R
Roy Davies
L
Lixin Jiang
DOI:10.1016/j.autcon.2024.105632delete
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摘要

摘要

En 中文
Off-site construction (OSC) is expected to boost productivity, shorten construction time, and reduce labour and material wastage. Despite these benefits, most OSC projects have not fully achieved these advantages, where a primary obstacle lies in the limited management of OSC knowledge. However, there is still no holistic understanding of the integration of KM in the OSC context. Therefore, this paper explores the latest development in KM for OSC through a systematic literature review using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and template analysis. The review is based on 66 screened and assessed journal articles from all years to 2024 with a particular focus on KM and OSC. Through the quantitative and qualitative analysis, this study groups four main research themes including KM for OSC design, KM for OSC project management, knowledge-based OSC decision-making, and the management of OSC knowledge. The results are discussed to gain a systematic understanding of key OSC knowledge domains, investigate the integration of KM for OSC, and explore future research needs including emerging artificial intelligence (AI) technologies.
Keyword:
Off-site construction (OSC)
Knowledge management (KM)
Artificial intelligence (AI)
Systematic literature review
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期刊

Automation in Construction 封面图
Automation in Construction
IF:
11.5
论文数:
6.3K
被引数:
4.2W

机构

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University of Canterbury
学者数:
6.9K
论文数: 7.1K
被引数: 7.8K
U
University of Auckland
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论文数: 2.4W
被引数: 3.3W
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