Record Details

Mapping site-based construction workers’ motivation: Expectancy theory approach

Construction Economics and Building

View Archive Info
 
 
Field Value
 
Title Mapping site-based construction workers’ motivation: Expectancy theory approach
 
Creator Ghoddousi, Parviz
Bahrami, Nima
Chileshe, Nicholas
Hosseini, M.Reza
 
Subject —
motivation, expectancy theory, structural equation modelling, workers, construction industry
—
 
Description The aim of this study is to apply a recently proposed model of motivation based on expectancy theory to site-based workers in the construction context and confirm the validity of this model for the construction industry. The study drew upon data from 194 site-based construction workers in Iran to test the proposed model of motivation. To this end, the structural equation modelling (SEM) approach based on the confirmatory factor analysis (CFA) technique was deployed. The study reveals that the proposed model of expectancy theory incorporating five indicators (i.e. intrinsic instrumentality, extrinsic instrumentality, intrinsic valence, extrinsic valence and expectancy) is able to map the process of construction workers’ motivation. Nonetheless, the findings posit that intrinsic indicators could be more effective than extrinsic ones. This proffers the necessity of construction managers placing further focus on intrinsic motivators to motivate workers. 
 
Publisher UTS ePRESS
 
Contributor —
 
Date 2014-03-21
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
—
Survey
 
Format application/pdf
 
Identifier http://epress.lib.uts.edu.au/journals/index.php/AJCEB/article/view/3712
10.5130/AJCEB.v14i1.3712
 
Source Construction Economics and Building; Vol 14, No 1 (2014): AJCEB; 60-77
2204-9029
 
Language eng
 
Relation http://epress.lib.uts.edu.au/journals/index.php/AJCEB/article/view/3712/3946
http://epress.lib.uts.edu.au/journals/index.php/AJCEB/article/downloadSuppFile/3712/803
 
Coverage Middle East
—
—
 
Rights Copyright (c) 2014 Parviz Ghoddousi, Nima Bahrami, Nicholas Chileshe, M.Reza Hosseini
http://creativecommons.org/licenses/by/4.0