Modeling relation among implementing AI-based drones and sustainable construction project success

Project failure is a persistent challenge in the construction industry, rendering it one of the most demanding sectors. Many obstacles, including safety concerns, quality management issues, environmental preservation challenges, economic sustainability, privacy constraints, and legal regulations, we...

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Main Authors: Waqar, A., Othman, I., Hamah Sor, N., Alshehri, A.M., Almujibah, H.R., Alotaibi, B.S., Abuhussain, M.A., Bageis, A.S., Althoey, F., Hayat, S., Benjeddou, O., Alsulamy, S.H., Aljarbou, M.
Format: Article
Published: 2023
Online Access:http://scholars.utp.edu.my/id/eprint/37996/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177063131&doi=10.3389%2ffbuil.2023.1208807&partnerID=40&md5=3215a291285f55f0bc2e79a0f43c13a2
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spelling oai:scholars.utp.edu.my:379962023-12-11T03:08:46Z http://scholars.utp.edu.my/id/eprint/37996/ Modeling relation among implementing AI-based drones and sustainable construction project success Waqar, A. Othman, I. Hamah Sor, N. Alshehri, A.M. Almujibah, H.R. Alotaibi, B.S. Abuhussain, M.A. Bageis, A.S. Althoey, F. Hayat, S. Benjeddou, O. Alsulamy, S.H. Aljarbou, M. Project failure is a persistent challenge in the construction industry, rendering it one of the most demanding sectors. Many obstacles, including safety concerns, quality management issues, environmental preservation challenges, economic sustainability, privacy constraints, and legal regulations, weigh heavily on construction projects. However, a beacon of hope emerges in AI-powered drones capable of surmounting these challenges and paving the path to resounding project success. This study employed diverse methodologies, engaging subject-matter experts through interviews and conducting pilot and primary surveys. Our analytical arsenal featured Exploratory Factor Analysis (EFA) for the pilot survey and Structural Equation Modelling (SEM) for the primary survey. Our research revolves around a singular mission: elevating building project success by dismantling the barriers that have impeded the widespread adoption of AI-driven drones in construction. The study�s verdict is clear: privacy and legal constraints, coupled with economic and sustainability challenges, alongside human resource management dilemmas, constitute the formidable triumvirate obstructing the ubiquitous embrace of drones in construction. Yet, the impact of breaching these barriers reverberates far beyond overcoming these hurdles. It cascades into public health and safety, environmental conservation, quality management, and economic sustainability, culminating in an amalgam of enhanced Building Project Success. The implications of our findings are profound for the construction industry. They beckon the sector to confront and surmount the legal and regulatory barriers to adopting AI-based drones. A clarion call to invest in human resources to empower technology integration resounds. And, perhaps most importantly, it beckons the industry to embrace the profound economic and sustainability advantages of embracing these cutting-edge technologies. Furthermore, our study underscores that adopting AI-powered drones in construction is not merely about project success; it catalyzes fostering public health, safeguarding the environment, ensuring top-tier quality management, and fortifying economic sustainability. These interwoven facets illuminate the broader canvas of drone technology�s transformative role in construction. Copyright © 2023 Waqar, Othman, Hamah Sor, Alshehri, Almujibah, Alotaibi, Abuhussain, Bageis, Althoey, Hayat, Benjeddou, Alsulamy and Aljarbou. 2023 Article NonPeerReviewed Waqar, A. and Othman, I. and Hamah Sor, N. and Alshehri, A.M. and Almujibah, H.R. and Alotaibi, B.S. and Abuhussain, M.A. and Bageis, A.S. and Althoey, F. and Hayat, S. and Benjeddou, O. and Alsulamy, S.H. and Aljarbou, M. (2023) Modeling relation among implementing AI-based drones and sustainable construction project success. Frontiers in Built Environment, 9. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177063131&doi=10.3389%2ffbuil.2023.1208807&partnerID=40&md5=3215a291285f55f0bc2e79a0f43c13a2 10.3389/fbuil.2023.1208807 10.3389/fbuil.2023.1208807 10.3389/fbuil.2023.1208807
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Project failure is a persistent challenge in the construction industry, rendering it one of the most demanding sectors. Many obstacles, including safety concerns, quality management issues, environmental preservation challenges, economic sustainability, privacy constraints, and legal regulations, weigh heavily on construction projects. However, a beacon of hope emerges in AI-powered drones capable of surmounting these challenges and paving the path to resounding project success. This study employed diverse methodologies, engaging subject-matter experts through interviews and conducting pilot and primary surveys. Our analytical arsenal featured Exploratory Factor Analysis (EFA) for the pilot survey and Structural Equation Modelling (SEM) for the primary survey. Our research revolves around a singular mission: elevating building project success by dismantling the barriers that have impeded the widespread adoption of AI-driven drones in construction. The study�s verdict is clear: privacy and legal constraints, coupled with economic and sustainability challenges, alongside human resource management dilemmas, constitute the formidable triumvirate obstructing the ubiquitous embrace of drones in construction. Yet, the impact of breaching these barriers reverberates far beyond overcoming these hurdles. It cascades into public health and safety, environmental conservation, quality management, and economic sustainability, culminating in an amalgam of enhanced Building Project Success. The implications of our findings are profound for the construction industry. They beckon the sector to confront and surmount the legal and regulatory barriers to adopting AI-based drones. A clarion call to invest in human resources to empower technology integration resounds. And, perhaps most importantly, it beckons the industry to embrace the profound economic and sustainability advantages of embracing these cutting-edge technologies. Furthermore, our study underscores that adopting AI-powered drones in construction is not merely about project success; it catalyzes fostering public health, safeguarding the environment, ensuring top-tier quality management, and fortifying economic sustainability. These interwoven facets illuminate the broader canvas of drone technology�s transformative role in construction. Copyright © 2023 Waqar, Othman, Hamah Sor, Alshehri, Almujibah, Alotaibi, Abuhussain, Bageis, Althoey, Hayat, Benjeddou, Alsulamy and Aljarbou.
format Article
author Waqar, A.
Othman, I.
Hamah Sor, N.
Alshehri, A.M.
Almujibah, H.R.
Alotaibi, B.S.
Abuhussain, M.A.
Bageis, A.S.
Althoey, F.
Hayat, S.
Benjeddou, O.
Alsulamy, S.H.
Aljarbou, M.
spellingShingle Waqar, A.
Othman, I.
Hamah Sor, N.
Alshehri, A.M.
Almujibah, H.R.
Alotaibi, B.S.
Abuhussain, M.A.
Bageis, A.S.
Althoey, F.
Hayat, S.
Benjeddou, O.
Alsulamy, S.H.
Aljarbou, M.
Modeling relation among implementing AI-based drones and sustainable construction project success
author_facet Waqar, A.
Othman, I.
Hamah Sor, N.
Alshehri, A.M.
Almujibah, H.R.
Alotaibi, B.S.
Abuhussain, M.A.
Bageis, A.S.
Althoey, F.
Hayat, S.
Benjeddou, O.
Alsulamy, S.H.
Aljarbou, M.
author_sort Waqar, A.
title Modeling relation among implementing AI-based drones and sustainable construction project success
title_short Modeling relation among implementing AI-based drones and sustainable construction project success
title_full Modeling relation among implementing AI-based drones and sustainable construction project success
title_fullStr Modeling relation among implementing AI-based drones and sustainable construction project success
title_full_unstemmed Modeling relation among implementing AI-based drones and sustainable construction project success
title_sort modeling relation among implementing ai-based drones and sustainable construction project success
publishDate 2023
url http://scholars.utp.edu.my/id/eprint/37996/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177063131&doi=10.3389%2ffbuil.2023.1208807&partnerID=40&md5=3215a291285f55f0bc2e79a0f43c13a2
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