The Implications of Rising Turnover and Voluntary Turnover within the Federal Government

Human Resources (HR) is a dynamic, changing, and vital part of every business whether commercial or governmental. HR is also often left to deal with voluntary turnover and the difficulties it brings. This study focuses on the implications of rising turnover/voluntary turnover within the federal government. The aim of this study was to analyze the data collected by the United States Office of Personnel Management (OPM) to determine the connections between turnover/voluntary turnover and demographic factors, workplace satisfaction factors, and organizational/relational factors within the federal government. This analysis examined the Fed Scope data from 2011 through 2016, and employee surveys taken in the year 2016. The collected data was analyzed, and showed strong connections between age and likelihood to voluntarily turnover, as well as the varying levels of satisfaction of employees about the organization. A survey was then created to assist HR managers in the analysis of employees on a smaller scale to predict future voluntary turnover, and help manage for turnover. Comparing the survey answers and identifying possible correlations, will be beneficial to companies in both the public and private sectors. The findings of this study contribute to Human Resources by shedding light upon what leads employees to voluntarily leave their jobs. Further, it explains the implications of turnover in general, as well as attempts to provide insight on management styles and ways to prevent and discourage voluntary turnover

Statistical properties of a localization-delocalization transition induced by correlated disorder

The exact probability distributions of the resistance, the conductance and the transmission are calculated for the one-dimensional Anderson model with long-range correlated off-diagonal disorder at E=0. It is proved that despite of the Anderson transition in 3D, the functional form of the resistance (and its related variables) distribution function does not change when there exists a Metal-Insulator transition induced by correlation between disorders. Furthermore, we derive analytically all statistical moments of the resistance, the transmission and the Lyapunov Exponent. The growth rate of the average and typical resistance decreases when the Hurst exponent $H$ tends to its critical value ($H_{cr}=1/2$) from the insulating regime. In the metallic regime $H\geq1/2$, the distributions become independent of size. Therefore, the resistance and the transmission fluctuations do not diverge with system size in the thermodynamic limit