Factors Explaining The Variation of Quality of Life Among Employees In The Malaysian Public Sector

Abstract: There is a general concern over the quality of life (QOL) decline among employees in the public sector which may adversely affect their performance. In view of this concern, there is a greater need to gain an improved understanding of what factor influence QOL with the view of finding a more integrative model for explaining the variation of QOL. Thus, a dependence model with four factors was proposed. The four factors examined were physical & financial, human, social, and natural capitals. Enter regression method was used to determine to what extent the research data fit the proposed model. The findings revealed that all the four factors considered were significance in explaining quality of life of the employees suggesting that the proposed model was fully supported by the research data. Among the four factors studied, physical and financial capitals make the strongest contribution in explaining variation of QOL, followed by natural capital and social capitals. Human capital was the smallest indicating that it made a smaller contribution compared to the other capitals

Relationship between career orientation and leadership motivation of Malaysian youth at public universities

The purpose of this paper is to determine the relationship between career orientations and leadership motivation among Malaysian youth. Data were gathered from 711 undergraduate students from four Malaysian public universities. Results showed that certain career orientation correlated significantly with motivation to lead (MTL) with correlation coefficients ranging from 0.1 to 0.4. Among career orientation dimensions, Managerial competency indicated the highest correlation coefficient at 0.48.Results of Regression analysis revealed that managerial competency is the biggest predictor of MTL followed by pure challenge. The findings suggest that not all the career anchors contribute significantly in explaining the variation of MTL. The R2value of 0.279 implies the career anchors explain about 27.9% of the variance/variation in the MTL. The findings from this study could be utilized by policy makers in formulating or developing youth career program