The present study is designed to propose values for developing civil servants' affective commitment to share knowledge in the workplace. The proposed values are faith, sincerity, trusting belief, trusting intention and emotional trust. The researchers have applied cross-sectional survey research to validate the framework. It is found that faith and sincerity influenced the development of civil servants' affective commitment to share knowledge in the workplace significantly. The practical implications are the discovery of theoretical, personal, and workplace practical best practices for the establishment of strategies to reduce operational costs in the public organization.

The present study is designed to propose values for developing civil servants' affective commitment to support public organization cost reduction policy implementation. The proposed values are faith, sincerity, trusting belief, trusting intention and emotional trust. The researchers have applied cross-sectional survey research to validate the framework. It is found that faith, sincerity and emotional trust influenced the development of civil servants' ISSN 2377-3294 2018 http://jpmr.macrothink.org 2 affective commitment to support the implementation of public organization cost reduction policy significantly. The practical implications are the discovery of theoretical, personal, and workplace practical best practices for the establishment of strategies to reduce operational costs in the public organizations. Journal of Public Management Research

This paper discusses the use of point based interpolation to estimate the value of temperature at an unallocated meteorology stations in Peninsular Malaysia using data of year 2010 collected from the Malaysian Meteorology Department. Two point based interpolation methods which are Inverse Distance Weighted (IDW) and Radial Basis Function (RBF) are considered. The accuracy of the methods is evaluated using Root Mean Square Error (RMSE). The results show that RBF with thin plate spline model is suitable to be used as temperature estimator for the months of January and December, while RBF with multiquadric model is suitable to estimate the temperature for the rest of the months.