Nur Syahidah Yusoff

A social network analysis on organizational commitment in Malaysia

This paper deals with social network approach to understand an organizational management problem. Four groups of factors, i.e., workplace spirituality, affective commitment, continuance commitment and normative commitment are used to quantify the level of organizational commitment. In total, there are forty measurements representing those factors. To analyze which factors that strongly influence the level of organizational commitment, social network approach is used where each measurement is considered as a member of social group and the relationship among them as social relationship. To illustrate the advantage of this approach, a case study on the level of organizational commitment in Malaysia will be presented and discussed.

Magnetohydrodynamics effect on convective boundary layer flow and heat transfer of viscoelastic micropolar fluid past a sphere

The main interest of this study is to investigate the effect of MHD on the boundary layer flow and heat transfer of viscoelastic micropolar fluid. Governing equations are transformed into dimensionless form in order to reduce their complexity. Then, the stream function is applied to the dimensionless equations to produce partial differential equations which are then solved numerically using the Keller-box method in Fortran programming. The numerical results are compared to published study to ensure the reliability of present results. The effects of selected physical parameters such as the viscoelastic parameter, K, micropolar parameter, κ and magnetic parameter, M on the flow and heat transfer are discussed and presented in tabular and graphical form. The findings from this study will be of critical importance in the fields of medicine, chemical as well as industrial processes where magnetic field is involved.

Identifying influential variables in complex system: Network topology versus principal component analysis

High dimensional covariance structure can be considered as a complex system that relates each variable to the others in terms of variability. In complex system, identifying influential variables is a very important part of reliability analysis, which has been a key issue in analysing the structural organization of a system. To analyse such complex system, network topology and principal component analysis are constructed to simplify the system. Network topology can be used to simplify the information about the system and centrality measure will be used to interpret the network. In the other hand, the principal component analysis can be used to eliminate the variables that contribute little extra information. An example will be discussed to illustrate the advantage and disadvantage of network topology and principal component analysis and a recommendation will be presented.

Understanding the Shift of Correlation Matrices During Financial Crisis: A Network Topology

Understanding the shift of correlation matrices in any process is not an easy task. From the literatures, the most popular and widely used test for correlation shift is Jennrichs test. This motivates us to use it in this paper. However, if after hypothesis testing the hypothesis of stable process correlation is rejected, then the next problem is to find out the root causes of that situation. In this paper, network topology approach will be used to understand the shift. A case study will be discussed and presented to illustrate the advantage of this approach.

The influence of geothermal environment to the quality of porcelain insulator: A gap analysis

It is assumed that polluted environment reduces the quality of porcelain insulator in terms of leakage current. In our previous study, a correlation analysis was conducted to show the influence of geothermal area to the quality of porcelain insulator. In this paper a further analysis based on gap analysis is conducted to have a better understanding about what quality characteristics that are more sensitive to the environment.