Műegyetemi Digitális Archívum
 

Factors Constraining Work Motivation in Construction Projects: A Case Study in Vietnam

Date

Type

könyvfejezet

Language

en

Reading access rights:

Open access

Rights Holder

Szerző

Conference Date

9-11 July 2022

Conference Place

Online

Conference Title

Creative Construction e-Conference 2022

ISBN, e-ISBN

978-615-5270-75-8

Container Title

Proceedings of the Creative Construction e-Conference 2022

Department

Építéstechnológia és Menedzsment Tanszék

Version

Post print

Faculty

Faculty of Architecture

First Page

164

Subject (OSZKAR)

Construction Industry
Factors
Labor Productivity
Motivation
Risk mapping

Gender

Konferenciacikk

University

Budapest University of Technology and Economics

OOC works

Abstract

Motivation plays an important role in improving construction labor productivity (CLP). Although previous studies have identified various motivational factors affecting CLP, exploring factors constraining work motivation in construction projects has been rarely discussed. This study attempts to bridge the research gap by identifying and assessing the key barriers to the work motivation of the construction workforce. This study differs from past studies in CLP research by investigating the severity level and occurrence frequency of barriers to work motivation in construction projects, and a more realistic ranking of these factors by adopting a risk mapping approach. Based on a comprehensive literature review, this study managed 35 factors constraining work motivation in construction projects. These factors were presented in a questionnaire to investigate the severity and frequency of occurrence. The risk mapping approach was adopted to evaluate the 215 completed responses. The results indicated that the following barriers as the most significant factors constraining work motivation in construction projects: (1) payment delay, (2) lack of financial incentive schemes, (3) lack of professional training and advanced learning opportunities, (4) poor work conditions, (5) unskilled workforce, and (6) work dissatisfaction.

Description

Keywords