Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/128833
Title: Automated progress monitoring technological model for construction projects
Authors: Qureshi, Abdul Hannan
Alaloul, Wesam Salah
Wing, Wong Kai
Saad, Syed
Musarat, Muhammad Ali
Ammad, Syed
Kineber, Ahmed Farouk
Keywords: Construction industry -- Automation
Confirmatory factor analysis
Construction industry -- Management
Structural equation modeling
Building -- Data processing
Artificial intelligence
Industry 4.0
Issue Date: 2023
Publisher: Elsevier BV
Citation: Qureshi, A. H., Alaloul, W. S., Wing, W. K., Saad, S., Musarat, M. A., Ammad, S., & Kineber, A. F. (2023). Automated progress monitoring technological model for construction projects. Ain Shams Engineering Journal, 14(10), 102165.
Abstract: Construction industry professionals admire the evolution of digital data-acquisition technologies in monitoring processes due to efficient and efficacious outcomes. However, due to a lack of theoretical insight towards the effective application of these technologies, hesitation has been observed for its adoption, which added a challenge to attaining the Industry 4.0 spirit. This study aims to improve a theoretical, statistically validated model, underlining the operational factors that enhance the performance of the digitized monitoring process. The study has followed the structural equation modeling (SEM) approach on identified 36 factors, which were colligated under four categories for developing the technological-based model. The attained model defines effective technological-based factors for implementing automated monitoring under ‘tracking & sensing’, ‘site video’, ‘3D scanner’, and ‘site images’. The significance of this model is a provision of a theoretical base to researchers and construction industry professionals in digitized progress monitoring technological operations and technical aspects towards enriched outcomes
URI: https://www.um.edu.mt/library/oar/handle/123456789/128833
Appears in Collections:Scholarly Works - FacBenCPM

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