Journal of Information Technology in Construction
Journal of Information Technology in Construction
ITcon Vol. 29, pg. 480-502, http://www.itcon.org/2024/22
Artificial Intelligence in Cloud Computing technology in the Construction industry: a bibliometric and systematic review
| DOI: | 10.36680/j.itcon.2024.022 | |
| submitted: | August 2023 | |
| revised: | May 2024 | |
| published: | July 2024 | |
| editor(s): | Turk Ž | |
| authors: | Jian Wang, Research Student,
Department of Civil Engineering, Aston University, Birmingham, B4 7ET, United Kingdom ORCID: https://orcid.org/0000-0001-7663-8850 220250098@aston.ac.uk Maxwell Fordjour Antwi-Afari, Lecturer (Corresponding author), Department of Civil Engineering, Aston University, Birmingham, B4 7ET, United Kingdom ORCID: https://orcid.org/0000-0002-6812-7839 m.antwiafari@aston.ac.uk Algan Tezel, Associate Professor, Department of Civil Engineering, University of Nottingham, Nottingham, NG7 2RD, United Kingdom ORCID: https://orcid.org/0000-0003-3903-6126 algan.tezel@nottingham.ac.uk Prince Antwi-Afari, PhD Student, Department of Civil Engineering, The University of Hong Kong, Pokfulam, Hong Kong ORCID: https://orcid.org/0000-0003-2966-9325 pantwiaf@connect.hku.hk Tala Kasim, Lecturer, Department of Civil Engineering, Aston University, Birmingham, B4 7ET, United Kingdom ORCID: https://orcid.org/0000-0001-8840-7822 t.kasim@aston.ac.uk | |
| summary: | 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. | |
| keywords: | Artificial Intelligence, Cloud Computing, Construction, Science Mapping, Literature Review | |
| full text: | (PDF file, 0.708 MB) | |
| citation: | Wang J, Antwi-Afari M F, Tezel A, Antwi-Afari P, Kasim T (2024). Artificial Intelligence in Cloud Computing technology in the Construction industry: a bibliometric and systematic review, ITcon Vol. 29, pg. 480-502, https://doi.org/10.36680/j.itcon.2024.022 | |
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