TY - JOUR
T1 - Critical delay factors in power transmission projects: a structural equation modeling approach
AU - Pall, Goutom K.
AU - Bridge, Adrian J.
AU - Washington, Simon
AU - Gray, Jason
AU - Skitmore, Martin
N1 - Publisher Copyright:
© 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group.
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2022
Y1 - 2022
N2 - Power transmission (PT) projects, as an essential link between power generation and distribution, play a vital role in the development of a country. To develop a clear understanding and identification of the critical idiosyncratic causes of delays in PT projects, for the first time, a model is developed to reflect the collective effects of 46 indicators under 10 factors. Based on the extended literature review and 18 sector experts’ recommendations, this study introduces two new factors–(i) a sector-specific factor (SSF) and (ii) a general factor (GF), where SSF pertains the uniqueness of PT project delay characteristics and GF drives a less biased data sample. Structural equation modeling (SEM) is used to test and validate the hypothesized model based on 311 valid questionnaire surveys. The validated model establishes SSF and GF as the most critical factors in PT project delays. With the clear insights provided by these findings, this study is expected to have a substantial influence on professionals in minimizing PT and other linear (power and non-power) project time overruns worldwide.
AB - Power transmission (PT) projects, as an essential link between power generation and distribution, play a vital role in the development of a country. To develop a clear understanding and identification of the critical idiosyncratic causes of delays in PT projects, for the first time, a model is developed to reflect the collective effects of 46 indicators under 10 factors. Based on the extended literature review and 18 sector experts’ recommendations, this study introduces two new factors–(i) a sector-specific factor (SSF) and (ii) a general factor (GF), where SSF pertains the uniqueness of PT project delay characteristics and GF drives a less biased data sample. Structural equation modeling (SEM) is used to test and validate the hypothesized model based on 311 valid questionnaire surveys. The validated model establishes SSF and GF as the most critical factors in PT project delays. With the clear insights provided by these findings, this study is expected to have a substantial influence on professionals in minimizing PT and other linear (power and non-power) project time overruns worldwide.
UR - http://www.scopus.com/inward/record.url?scp=85074977596&partnerID=8YFLogxK
U2 - 10.1080/15623599.2019.1686835
DO - 10.1080/15623599.2019.1686835
M3 - Article
AN - SCOPUS:85074977596
SN - 1562-3599
VL - 22
SP - 1158
EP - 1170
JO - International Journal of Construction Management
JF - International Journal of Construction Management
IS - 6
ER -