eprintid: 16272
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/62/72
datestamp: 2023-12-19 03:22:49
lastmod: 2023-12-19 03:22:49
status_changed: 2023-12-19 03:05:57
type: article
metadata_visibility: show
creators_name: Hannan Qureshi, A.
creators_name: Alaloul, W.S.
creators_name: Wing, W.K.
creators_name: Saad, S.
creators_name: Ammad, S.
creators_name: Musarat, M.A.
title: Factors impacting the implementation process of automated construction progress monitoring
ispublished: pub
keywords: Automation; Monitoring; Surveys, Automated monitoring; Automated monitoring characteristic; Automated monitoring framework; Importance index; Monitoring frameworks; Monitoring process; Monitoring technologies; Relative importance index; Theoretical framework, Construction industry
note: cited By 14
abstract: 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. © 2022
date: 2022
publisher: Ain Shams University
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129481941&doi=10.1016%2fj.asej.2022.101808&partnerID=40&md5=e131d71c28cbe31f3ea855aabc7b61d5
id_number: 10.1016/j.asej.2022.101808
full_text_status: none
publication: Ain Shams Engineering Journal
volume: 13
number: 6
refereed: TRUE
issn: 20904479
citation:   Hannan Qureshi, A. and Alaloul, W.S. and Wing, W.K. and Saad, S. and Ammad, S. and Musarat, M.A.  (2022) Factors impacting the implementation process of automated construction progress monitoring.  Ain Shams Engineering Journal, 13 (6).   ISSN 20904479