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     Research Journal of Applied Sciences, Engineering and Technology

    Abstract
2014(Vol.7, Issue:21)
Article Information:

Factors Contributing to Safety and Health Performance of Malaysian Low-cost Housing: Partial Least Squares Approach

Azuin Ramli, Zainal Abidin Akasah and Mohd Idrus Mohd Masirin
Corresponding Author:  Azuin Ramli 
Submitted: January 31, 2014
Accepted: February 10, 2014
Published: June 05, 2014
Abstract:
Sustainable development is fast emerging as one of the main priorities of construction industry in Malaysia. Malaysians of all income levels, particularly the low-income group, would have accessibility to adequate, affordable and quality shelter. As a result, safety and health performance in the low-cost housing has become a rising concern. This study attempts to explore the influence of architecture, building services, external environment, operation and maintenance and management approaches on the building safety and health performance among the construction practitioners in Malaysia and their subsequent personal responsibility. The study used the Partial Least Squares (PLS) and Structural Equation Modelling (SEM) tool to test the hypotheses generated. Findings from the Partial Least Squares analysis revealed that architecture, building services, external environment, operation and maintenance and management approaches are vital determinants contributing to safety and health performance of low-cost housing in the Malaysian context. In turn, this determinant that is formed will largely determine whether the construction practitioners engage in influencing personal responsibility towards building safety and health performance. Implications, limitations as well as suggestions for future research are accordingly discussed in this study.

Key words:  Health, low-cost housing, partial least square, performance, safety, ,
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Cite this Reference:
Azuin Ramli, Zainal Abidin Akasah and Mohd Idrus Mohd Masirin, . Factors Contributing to Safety and Health Performance of Malaysian Low-cost Housing: Partial Least Squares Approach. Research Journal of Applied Sciences, Engineering and Technology, (21): 4612-4620.
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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