Artificial Intelligence in Cloud Computing technology in the Construction industry:a bibliometric and systematic review

Abstract

The integration and impact of artificial intelligence (AI) and cloud computing (CC) technology in the construction industry (CI) would support their implementation process and adoption. However, there is a lack of research in the extant literature, and recent advances in this field have not been explored. As such, the key research question focuses on the extent of existing literature, main research hotspots, and recent advances (i.e., research gaps and future directions) in AI in CC in the CI. To address this research question, this study aims to conduct a state-of-the-art review of AI in CC in the CI by providing a qualitative discussion of the main research hotspots, research gaps, and future research directions. This review study used a four-step bibliometric-systematic review approach consisting of literature search, literature screening, science mapping analysis, and qualitative dis-cussion. The results found four main research hotspots, namely (1) construction project performance indicators, (2) data analysis and visualization, (3) construction quality control and safety, and (4) construction energy efficiency. These findings would provide valuable insights for scholars and practitioners seeking to understand and integrate AI and CC technology applications in the CI. This review study will lay a better foundation for future developments in construction project management processes, data-sharing protocols, real-time safety monitoring, and ethical implications of AI and CC technologies.

Publication DOI: https://doi.org/10.36680/j.itcon.2024.022
Divisions: College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering > Civil Engineering
College of Engineering & Physical Sciences > Smart and Sustainable Manufacturing
College of Engineering & Physical Sciences
College of Engineering & Physical Sciences > Aston Logistics and Systems Institute
Aston University (General)
Additional Information: Copyright © 2024 The author(s). This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Uncontrolled Keywords: Artificial Intelligence,Cloud Computing,Construction,Literature Review,Science Mapping,Civil and Structural Engineering,Building and Construction,Computer Science Applications
Publication ISSN: 1874-4753
Last Modified: 10 Dec 2024 17:02
Date Deposited: 23 Oct 2024 09:56
Full Text Link:
Related URLs: https://www.sco ... tnerID=8YFLogxK (Scopus URL)
https://www.itc ... g/paper/2024/22 (Publisher URL)
PURE Output Type: Review article
Published Date: 2024-07
Published Online Date: 2024-07-26
Accepted Date: 2024-05-01
Authors: Wang, Jian
Antwi-Afari, Maxwell Fordjour (ORCID Profile 0000-0002-6812-7839)
Tezel, Algan
Antwi-Afari, Prince
Kasim, Tala (ORCID Profile 0000-0001-8840-7822)

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