TY  - JOUR
A1  - Hannan Qureshi, A.
A1  - Salah Alaloul, W.
A1  - Kai Wing, W.
A1  - Saad, S.
A1  - Ali Musarat, M.
A1  - Ammad, S.
A1  - Farouk Kineber, A.
Y1  - 2023///
TI  - Automated progress monitoring technological model for construction projects
ID  - scholars18199
IS  - 10
KW  - Automation; Data acquisition; Factor analysis; Technology transfer
KW  -  Automated monitoring; Automated monitoring factor; Automated monitoring model; Confirmatory factor analysis; Effective monitoring parameter; Industry professionals; Monitoring models; Monitoring parameters; Technological parameters
KW  -  Construction industry
N1  - cited By 14
VL  - 14
JF  - Ain Shams Engineering Journal
N2  - 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 â??tracking & sensingâ??, â??site videoâ??, â??3D scannerâ??, and â??site imagesâ??. 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. © 2023 THE AUTHORS
AV  - none
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146583553&doi=10.1016%2fj.asej.2023.102165&partnerID=40&md5=970eafaeac2ee3f35f00844bd97826d6
ER  -