Factors impacting the implementation process of automated construction progress monitoring
Automated monitoring technologies are being praised in the construction sector due to effective and efficient outcomes. However, hesitation remains towards its adoption, and one of the reasons is the lack of theoretical understanding towards effective implementation. This study aims to develop a the...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
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Elsevier
2022-11-01
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Series: | Ain Shams Engineering Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2090447922001198 |
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author | Abdul Hannan Qureshi Wesam Salah Alaloul Wong Kai Wing Syed Saad Syed Ammad Muhammad Ali Musarat |
author_facet | Abdul Hannan Qureshi Wesam Salah Alaloul Wong Kai Wing Syed Saad Syed Ammad Muhammad Ali Musarat |
author_sort | Abdul Hannan Qureshi |
collection | DOAJ |
description | Automated monitoring technologies are being praised in the construction sector due to effective and efficient outcomes. However, hesitation remains towards its adoption, and one of the reasons is the lack of theoretical understanding towards effective implementation. This study aims to develop a theoretical framework highlighting the factors impacting the effective performance of automated monitoring. Overall, 36 factors were identified under four technological categories. The knowledge framework has been developed with the help of data collected by adopting a structured literature review, questionnaire-based survey, and statistical analysis techniques. The developed technological framework highlights the most impactful factors for each close-range automated monitoring process and technology. This study provides the base conceptual foundation to stakeholders towards the theoretical understanding of automated monitoring processes and technologies for factors that impact the outcomes. |
first_indexed | 2024-04-11T13:06:33Z |
format | Article |
id | doaj.art-e038dceda883433c9c81c06692bad447 |
institution | Directory Open Access Journal |
issn | 2090-4479 |
language | English |
last_indexed | 2024-04-11T13:06:33Z |
publishDate | 2022-11-01 |
publisher | Elsevier |
record_format | Article |
series | Ain Shams Engineering Journal |
spelling | doaj.art-e038dceda883433c9c81c06692bad4472022-12-22T04:22:45ZengElsevierAin Shams Engineering Journal2090-44792022-11-01136101808Factors impacting the implementation process of automated construction progress monitoringAbdul Hannan Qureshi0Wesam Salah Alaloul1Wong Kai Wing2Syed Saad3Syed Ammad4Muhammad Ali Musarat5Department of Civil and Environmental Engineering, Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Perak Darul Ridzuan, MalaysiaCorresponding author.; Department of Civil and Environmental Engineering, Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Perak Darul Ridzuan, MalaysiaDepartment of Civil and Environmental Engineering, Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Perak Darul Ridzuan, MalaysiaDepartment of Civil and Environmental Engineering, Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Perak Darul Ridzuan, MalaysiaDepartment of Civil and Environmental Engineering, Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Perak Darul Ridzuan, MalaysiaDepartment of Civil and Environmental Engineering, Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Perak Darul Ridzuan, MalaysiaAutomated monitoring technologies are being praised in the construction sector due to effective and efficient outcomes. However, hesitation remains towards its adoption, and one of the reasons is the lack of theoretical understanding towards effective implementation. This study aims to develop a theoretical framework highlighting the factors impacting the effective performance of automated monitoring. Overall, 36 factors were identified under four technological categories. The knowledge framework has been developed with the help of data collected by adopting a structured literature review, questionnaire-based survey, and statistical analysis techniques. The developed technological framework highlights the most impactful factors for each close-range automated monitoring process and technology. This study provides the base conceptual foundation to stakeholders towards the theoretical understanding of automated monitoring processes and technologies for factors that impact the outcomes.http://www.sciencedirect.com/science/article/pii/S2090447922001198Automated monitoring characteristicsAutomated monitoring frameworkRelative importance indexTheoretical framework |
spellingShingle | Abdul Hannan Qureshi Wesam Salah Alaloul Wong Kai Wing Syed Saad Syed Ammad Muhammad Ali Musarat Factors impacting the implementation process of automated construction progress monitoring Ain Shams Engineering Journal Automated monitoring characteristics Automated monitoring framework Relative importance index Theoretical framework |
title | Factors impacting the implementation process of automated construction progress monitoring |
title_full | Factors impacting the implementation process of automated construction progress monitoring |
title_fullStr | Factors impacting the implementation process of automated construction progress monitoring |
title_full_unstemmed | Factors impacting the implementation process of automated construction progress monitoring |
title_short | Factors impacting the implementation process of automated construction progress monitoring |
title_sort | factors impacting the implementation process of automated construction progress monitoring |
topic | Automated monitoring characteristics Automated monitoring framework Relative importance index Theoretical framework |
url | http://www.sciencedirect.com/science/article/pii/S2090447922001198 |
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