Applications of artificial intelligence in construction projects mapping

The AI enhances risk reduction and maximizes resource use, both of which lead to better project results. In order to examine the economic growth and sustainability under catalyst influence AI, the study intends to assess Artificial Intelligence-Driven Plans in Project Management in Construction. A sample of 100 persons was employed in the study to test six hypotheses using a Google form survey. Using primary quantitative data, it examines how well AI systems perform in risk management, construction management, resource allocation, rescheduling, and predictive skills. Smart PLS software has been used to analyze data in order to comprehend statistical operations and statistical support for the context of viability and reliability. The findings demonstrate that AI technologies have a beneficial impact on risk management in the construction industry, as well as on resource allocation and rescheduling through predictive capacities. The study has good ramifications for the future since it provides suggestions on how project managers and decision-makers might employ AI technology to address the difficulties facing the construction industry.

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Publication Details

Journal
Ammanif Bulletin of Social Sciences
Published
2025-09-20
DOI
https://doi.org/10.56770/aboss2025225
Primary Topic
Phenothiazines and Benzothiazines Synthesis and Activities
Type
article
Field-Weighted Citation Impact
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article

Applications of artificial intelligence in construction projects mapping

Ammanif Bulletin of Social Sciences
Phenothiazines and Benzothiazines Synthesis and Activities
article

Applications of artificial intelligence in construction projects mapping

article en

Abstract

The AI enhances risk reduction and maximizes resource use, both of which lead to better project results. In order to examine the economic growth and sustainability under catalyst influence AI, the study intends to assess Artificial Intelligence-Driven Plans in Project Management in Construction. A sample of 100 persons was employed in the study to test six hypotheses using a Google form survey. Using primary quantitative data, it examines how well AI systems perform in risk management, construction management, resource allocation, rescheduling, and predictive skills. Smart PLS software has been used to analyze data in order to comprehend statistical operations and statistical support for the context of viability and reliability. The findings demonstrate that AI technologies have a beneficial impact on risk management in the construction industry, as well as on resource allocation and rescheduling through predictive capacities. The study has good ramifications for the future since it provides suggestions on how project managers and decision-makers might employ AI technology to address the difficulties facing the construction industry.

Ammanif Bulletin of Social SciencesVol. 2(2)
Government College Women University Sialkot, Azerbaijan University (AZ)
Industry, innovation and infrastructure
Openalex Percentile: Top 47%
Phenothiazines and Benzothiazines Synthesis and Activities
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