A MODEL FOR ASSESSING THE COMPETENCY OF FACILITY MANAGERS IN PRE-CONSTRUCTION HOSPITALS IN MALAYSIA
This study was conducted to develop a model for assessing a facility manager's competency in a complex construction project such as a hospital construction. The involvement of a facility manager during the construction phase is highlighted as a means to reduce operating costs for the building i...
Published in: | Malaysian Construction Research Journal |
---|---|
Main Author: | |
Format: | Article |
Language: | English |
Published: |
Construction Research Institute of Malaysia
2024
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202746455&partnerID=40&md5=5f7e5521899172f7a6c3f97f9a748a67 |
id |
2-s2.0-85202746455 |
---|---|
spelling |
2-s2.0-85202746455 Jenuwa N.; Ismail W.N.W.; Yusop N.; Isa S.S.M.; Misnan M.S. A MODEL FOR ASSESSING THE COMPETENCY OF FACILITY MANAGERS IN PRE-CONSTRUCTION HOSPITALS IN MALAYSIA 2024 Malaysian Construction Research Journal 22 2 Special Issue https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202746455&partnerID=40&md5=5f7e5521899172f7a6c3f97f9a748a67 This study was conducted to develop a model for assessing a facility manager's competency in a complex construction project such as a hospital construction. The involvement of a facility manager during the construction phase is highlighted as a means to reduce operating costs for the building in the long run. The study examines the relationship between facility managers’ competence with six relevant competencies namely leadership and strategy, finance and business, operation and maintenance, communication, human factors, and real estate management. The data were analysed using the analysis technique of Modelling Structured Equations Partial Smallest Square Estimation (SEM-PLS). This statistical software assesses the psychometric characteristics of model measurements and estimates the parameters of structural models. A total of 262 respondents from the facility and construction fields participated in the study. The results show that only the null hypotheses (H0) for competencies in leadership, finance, and business were rejected. The null hypothesis for other competencies namely operation and maintenance, communication, human factors, and real estate management were accepted. This paper is the first in its category to relate a competent facility manager with relevant competencies such as leadership and strategy, finance and business, operation and maintenance, communication, human factor, and real estate management. The model developed in the study would assist Human Resource professionals to design more effective training programs and to make more effective recruitment processes. © 2024, Construction Research Institute of Malaysia. All rights reserved. Construction Research Institute of Malaysia 19853807 English Article |
author |
Jenuwa N.; Ismail W.N.W.; Yusop N.; Isa S.S.M.; Misnan M.S. |
spellingShingle |
Jenuwa N.; Ismail W.N.W.; Yusop N.; Isa S.S.M.; Misnan M.S. A MODEL FOR ASSESSING THE COMPETENCY OF FACILITY MANAGERS IN PRE-CONSTRUCTION HOSPITALS IN MALAYSIA |
author_facet |
Jenuwa N.; Ismail W.N.W.; Yusop N.; Isa S.S.M.; Misnan M.S. |
author_sort |
Jenuwa N.; Ismail W.N.W.; Yusop N.; Isa S.S.M.; Misnan M.S. |
title |
A MODEL FOR ASSESSING THE COMPETENCY OF FACILITY MANAGERS IN PRE-CONSTRUCTION HOSPITALS IN MALAYSIA |
title_short |
A MODEL FOR ASSESSING THE COMPETENCY OF FACILITY MANAGERS IN PRE-CONSTRUCTION HOSPITALS IN MALAYSIA |
title_full |
A MODEL FOR ASSESSING THE COMPETENCY OF FACILITY MANAGERS IN PRE-CONSTRUCTION HOSPITALS IN MALAYSIA |
title_fullStr |
A MODEL FOR ASSESSING THE COMPETENCY OF FACILITY MANAGERS IN PRE-CONSTRUCTION HOSPITALS IN MALAYSIA |
title_full_unstemmed |
A MODEL FOR ASSESSING THE COMPETENCY OF FACILITY MANAGERS IN PRE-CONSTRUCTION HOSPITALS IN MALAYSIA |
title_sort |
A MODEL FOR ASSESSING THE COMPETENCY OF FACILITY MANAGERS IN PRE-CONSTRUCTION HOSPITALS IN MALAYSIA |
publishDate |
2024 |
container_title |
Malaysian Construction Research Journal |
container_volume |
22 |
container_issue |
2 Special Issue |
doi_str_mv |
|
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202746455&partnerID=40&md5=5f7e5521899172f7a6c3f97f9a748a67 |
description |
This study was conducted to develop a model for assessing a facility manager's competency in a complex construction project such as a hospital construction. The involvement of a facility manager during the construction phase is highlighted as a means to reduce operating costs for the building in the long run. The study examines the relationship between facility managers’ competence with six relevant competencies namely leadership and strategy, finance and business, operation and maintenance, communication, human factors, and real estate management. The data were analysed using the analysis technique of Modelling Structured Equations Partial Smallest Square Estimation (SEM-PLS). This statistical software assesses the psychometric characteristics of model measurements and estimates the parameters of structural models. A total of 262 respondents from the facility and construction fields participated in the study. The results show that only the null hypotheses (H0) for competencies in leadership, finance, and business were rejected. The null hypothesis for other competencies namely operation and maintenance, communication, human factors, and real estate management were accepted. This paper is the first in its category to relate a competent facility manager with relevant competencies such as leadership and strategy, finance and business, operation and maintenance, communication, human factor, and real estate management. The model developed in the study would assist Human Resource professionals to design more effective training programs and to make more effective recruitment processes. © 2024, Construction Research Institute of Malaysia. All rights reserved. |
publisher |
Construction Research Institute of Malaysia |
issn |
19853807 |
language |
English |
format |
Article |
accesstype |
|
record_format |
scopus |
collection |
Scopus |
_version_ |
1812871796385382400 |