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primary topic: Evaluation of success factors of utilizing AI in digital transformation of health and safety management systems in modern construction projects

Evaluation of success factors of utilizing AI in digital transformation of health and safety management systems in modern construction projects
type: AcademicArticle
type: Article
abstract: In the construction industry, managing health and safety concerns is paramount to preventing accidents, injuries, and project delays. The integration of Artificial Intelligence (AI) into existing health and safety management systems holds the potential for significantly improving risk detection, mitigation, and overall management 1,2,3. However, despite the evident benefits of AI in this domain, there remains a notable gap in the literature concerning the essential factors for successful implementation 4,5. This study aims to address this gap by meticulously analyzing the key elements that contribute to the success of AI integration into the digital transformation of health and safety management systems within cutting-edge construction projects. Our methodology involved the identification of 25 factors, drawn from prior research and industry consensus. These factors were subjected to rigorous analysis, including Exploratory Factor Analysis (EFA) following a pilot survey with field experts and Structural Equation Modeling (SEM) using data obtained from a comprehensive questionnaire distributed among a representative sample of construction industry experts. The study's findings underscore the paramount importance of six critical constructs in determining the success of AI implementation in construction health and safety management systems: Adaptability, Operation, Management, Reliability, Integration, and Knowledge. These findings provide valuable insights for enhancing safety measures in the construction industry through AI-driven solutions. © 2023 THE AUTHORS
date: 2023
volume: 14
issue: 11
status: peerReviewed
status: published
author list: authors
type: EPrint
type: ArticleEPrint
is part of: repository

Ain Shams Engineering Journal
type: Collection

Andri
type: Person
family name: Andri

A.H. Qureshi
type: Person
given name: A.H.
family name: Qureshi

C. Utami
type: Person
given name: C.
family name: Utami

L.E. Tanjung
type: Person
given name: L.E.
family name: Tanjung

H.R. Almujibah
type: Person
given name: H.R.
family name: Almujibah

A. Waqar
type: Person
given name: A.
family name: Waqar

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primary topic: Evaluation of success factors of utilizing AI in digital transformation of health and safety management systems in modern construction projects