Research Article

Contribution of artificial intelligence (ai) to construction project management processes: State of the art with scoping review method

Volume: 42 Number: 5 October 4, 2024
EN

Contribution of artificial intelligence (ai) to construction project management processes: State of the art with scoping review method

Abstract

The Artificial Intelligence (AI) is being considered as a new way to tackle the challenges frequently faced by the Architecture, Engineering and Construction (AEC) industry in terms of its ability to leverage advanced technologies, data analysis techniques, and automation to address specific challenges and improve efficiency, productivity, safety, decision-making, and overall project outcomes. Thus, it is imperative to know the future of AI in construction project management processes. With this background, this study aims to detect application areas of AI in construction project management processes by using scoping review method and create a base for the development of theories that can support future studies. According to the findings of studies, application areas of AI in project management domain are generally clustered under eight main topics: cost, time, quality, contract, dispute, risk, safety, and sustainability. In line with the findings, this study contributes in two-folds. As the theoretical contribution researchers can benefit from this study, which addresses the research trends and current applications of this ground-breaking technology in project management processes, by mapping the current interest in AI studies. The future studies can be directed in line with identified gaps and justifications. As the practical contributions, construction companies that want to be the early movers can benefit from the findings of this study as they reveal crucial areas where they can focus their investment on areas where AI can make the most significant difference to address their company’s specific requirements.

Keywords

References

  1. REFERENCES
  2. [1] Craveiro F, Duarte JP, Bartolo H, Bartolo PJ. Additive manufacturing as an enabling technology for digital construction: A perspective on Construction 4.0. Sustain Dev. 2019;4:6. [CrossRef]
  3. [2] Wang X, Zhang Y, Tao Y. Research on system construction and application of Enterprise intelligent finance from the perspective of Artificial intelligence. Proceedings - 2021 International Conference on Computer Information Science and Artificial Intelligence 2021;1:597602. [CrossRef]
  4. [3] Beier G, Ullrich A, Niehoff S, Reißig M, Habich M. Industry 4.0: How it is defined from a sociotechnical perspective and how much sustainability it includes–A literature review. J Clean Prod 2020;259:120856. [CrossRef]
  5. [4] Akinosho TD, Oyedele LO, Bilal M, Ajayi AO, Davila M, Akinade OO, Ahmed AA. Deep learning in the construction industry: A review of present status and future innovations. J Build Eng 2020;32:101827. [CrossRef]
  6. [5] Jiang Z. Land Resource Management Information Platform Based on Artificial Intelligence Technology. 2021 IEEE 2nd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering 2021;735739. [CrossRef]
  7. [6] Odeh M. The role of artificial intelligence in project management. IEEE Eng Manag Rev 2023;99:14. [CrossRef]
  8. [7] Xiao C, Liu Y, Akhnoukh A. Bibliometric review of artificial intelligence (AI) in construction engineering and management. In: International Conference on Construction and Real Estate Management. 2018. p. 3241. [CrossRef]

Details

Primary Language

English

Subjects

Clinical Sciences (Other)

Journal Section

Research Article

Publication Date

October 4, 2024

Submission Date

June 3, 2023

Acceptance Date

October 21, 2023

Published in Issue

Year 2024 Volume: 42 Number: 5

APA
Aladağ, H., Güven, İ., & Balli, O. (2024). Contribution of artificial intelligence (ai) to construction project management processes: State of the art with scoping review method. Sigma Journal of Engineering and Natural Sciences, 42(5), 1654-1669. https://izlik.org/JA46AL48TR
AMA
1.Aladağ H, Güven İ, Balli O. Contribution of artificial intelligence (ai) to construction project management processes: State of the art with scoping review method. SIGMA. 2024;42(5):1654-1669. https://izlik.org/JA46AL48TR
Chicago
Aladağ, Hande, İlkim Güven, and Osman Balli. 2024. “Contribution of Artificial Intelligence (ai) to Construction Project Management Processes: State of the Art With Scoping Review Method”. Sigma Journal of Engineering and Natural Sciences 42 (5): 1654-69. https://izlik.org/JA46AL48TR.
EndNote
Aladağ H, Güven İ, Balli O (October 1, 2024) Contribution of artificial intelligence (ai) to construction project management processes: State of the art with scoping review method. Sigma Journal of Engineering and Natural Sciences 42 5 1654–1669.
IEEE
[1]H. Aladağ, İ. Güven, and O. Balli, “Contribution of artificial intelligence (ai) to construction project management processes: State of the art with scoping review method”, SIGMA, vol. 42, no. 5, pp. 1654–1669, Oct. 2024, [Online]. Available: https://izlik.org/JA46AL48TR
ISNAD
Aladağ, Hande - Güven, İlkim - Balli, Osman. “Contribution of Artificial Intelligence (ai) to Construction Project Management Processes: State of the Art With Scoping Review Method”. Sigma Journal of Engineering and Natural Sciences 42/5 (October 1, 2024): 1654-1669. https://izlik.org/JA46AL48TR.
JAMA
1.Aladağ H, Güven İ, Balli O. Contribution of artificial intelligence (ai) to construction project management processes: State of the art with scoping review method. SIGMA. 2024;42:1654–1669.
MLA
Aladağ, Hande, et al. “Contribution of Artificial Intelligence (ai) to Construction Project Management Processes: State of the Art With Scoping Review Method”. Sigma Journal of Engineering and Natural Sciences, vol. 42, no. 5, Oct. 2024, pp. 1654-69, https://izlik.org/JA46AL48TR.
Vancouver
1.Hande Aladağ, İlkim Güven, Osman Balli. Contribution of artificial intelligence (ai) to construction project management processes: State of the art with scoping review method. SIGMA [Internet]. 2024 Oct. 1;42(5):1654-69. Available from: https://izlik.org/JA46AL48TR

IMPORTANT NOTE: JOURNAL SUBMISSION LINK https://eds.yildiz.edu.tr/sigma/