MOBBING AND TURNOVER INTENTION: A STUDY FROM EMPLOYEES OF THE PROVINCIAL DIRECTORATE OF YOUTH AND SPORTS IN TURKEY

In this study, the relationship between mobbing behavior and employees’ turnover intention in organizations providing sports services was examined. The data in this study were obtained from two Provincial Directorate of Youth and Sports’ employees, in Turkey. As the data collection tool, the mobbing scale developed by Yildiz (2019) and the turnover intention scale developed by Landau and Hammer (1986) were used. As a result of this study, in which hierarchical regression analysis was used, it was found that mobbing behaviors significantly and positively affected employees’ turnover intentions. At the end of the study, administrative suggestions were given on the solution of mobbing.  Article visualizations

WORKPLACE MOBBING AND ORGANIZATIONAL COMMITMENT: AN INVESTIGATION ON EMPLOYEES OF THE PROVINCIAL DIRECTORATE OF YOUTH AND SPORTS IN TURKEY

Mobbing and organizational commitment are among the issues that concern sports businesses as in every profession. In this study, the effects of mobbing on organizational commitment of employees working in public institutions that provide sports services were examined. This research was attended by employees working in the youth and sports directorate, in Turkey. The mobbing scale developed by Yildiz (2019) and the organizational commitment scale developed by Meyer and Allen (1991) were used in the study. First, the reliability analysis of the scales was made, and the reliability coefficients were seen as quite high. Afterward, correlation and regression analyses were performed on the data. As a result, it has been observed that mobbing affects the employees' organizational commitment significantly and negatively.  Article visualizations

THE MEDIATING EFFECT OF ORGANIZATIONAL COMMITMENT BETWEEN MOBBING AND TURNOVER INTENTION: AN APPLICATION ON PHYSICAL EDUCATION AND SPORTS TEACHERS

The aim of this study is to examine the mediating effect of organizational commitment between mobbing and turnover intention, on physical education and sports teachers. The study included 117 physical education and sports teachers. As the measurement tool, the mobbing scale developed by Yildiz (2019), the organizational commitment scale developed by Allen and Meyer (1990), and the turnover intention scale developed by Landau and Hammer (1986) were used. As a result of the analysis, while mobbing affects organizational commitment significantly and negatively, it has affected turnover intention significantly and positively. It was also observed that organizational commitment has a partial mediating effect between mobbing and turnover intention.  Article visualizations

Focusing of phase change microparticles for local heat transfer enhancement in laminar flows

Phase change material (PCM) suspensions have received wide spread attention for increased thermal storage in various thermal systems such as heat sinks for electronics and solar thermal applications. To achieve further heat transfer enhancement, this paper investigates the effect of focusing micron-sized phase-change particles (PCMs) to a layer near the heated wall of a parallel plate channel. A numerical model for fully-developed laminar flow with a constant heat flux applied to one wall is developed. Melting of the focused PCMs is incorporated using a temperature-dependent effective heat capacity. The effect of channel height, height of the focused PCM stream, heat flux, and fluid properties on the peak local Nusselt number (Nu∗) and the averaged Nusselt number over the melting length (Nu[subscript melt]) are investigated. Compared to the thermally-developed Nusselt number for this geometry (Nuo = 5.385), Nu[subscript melt]and Nu∗ enhancements of 8% and 19% were determined, respectively. The local heat transfer performance is optimized when the PCMs are confined to within 30% of the channel height. The present work provides an extended understanding of local heat transfer characteristics during melting of flowing PCM suspensions, and offers a new method for enhancing heat transfer performance in various thermal-fluidic systems

Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA

In this work, we examine an intelligent reflecting surface (IRS) assisted downlink non-orthogonal multiple access (NOMA) scenario with the aim of maximizing the sum rate of users. The optimization problem at the IRS is quite complicated, and non-convex, since it requires the tuning of the phase shift reflection matrix. Driven by the rising deployment of deep reinforcement learning (DRL) techniques that are capable of coping with solving non-convex optimization problems, we employ DRL to predict and optimally tune the IRS phase shift matrices. Simulation results reveal that IRS assisted NOMA based on our utilized DRL scheme achieves high sum rate compared to OMA based one, and as the transmit power increases, the capability of serving more users increases. Furthermore, results show that imperfect successive interference cancellation (SIC) has a deleterious impact on the data rate of users performing SIC. As the imperfection increases by ten times, the rate decreases by more than 10%

Investigation Into The Seebeck Coefficient in Two-Layer Assembly During Laser Short-Pulse Heating

The Seebeck coefficient in a substrate varies with electron temperature such that it increases with increasing temperature. The Seebeck coefficient for different materials differs even though the materials have similar thermal properties. In this study, the Seebeck coefficient in a two-layer assembly exposed to laser short-pulse heating is considered. The assembly consists of gold and copper, and the gold layer is situated on top of the copper. In order to investigate the change in the Seebeck coefficient with layer thickness, three different thicknesses of gold layer are accommodated in the simulations. An abrupt change in the Seebeck coefficient occurs across the layers, despite the smooth decay of electron temperatures in this region due to the similar thermal properties of the layer materials. Consequently, the Seebeck coefficient variation across the layers can form the basis for measurement of layer thickness

Laser Short-Pulse Heating of a Three Layer Assembly and the Seebeck Effect

Laser short pulse heating of a multi-layer assembly, which consists of different layer properties, results in a non-similar electron and lattice site temperature distributions in the layers. This is because the differences in the amount of energy transfer in each layer despite the fact that each layer is very thin. Consequently, an investigation into the temperature distribution in the electron and lattice subsystems in each layer is essential. In the present study, laser short-pulse heating of a three layer assembly, consisting of Au-Cr-Cu, is examined. The electron and lattice site temperature rise in each layer is predicted using an electron lattice theory approach. Three-dimensional heating situation is accommodated in the model study. The Seebeck coefficient in each layer is computed and compared with the results of the previously derived equation. It is found that the electron temperature distribution varies in each layer and that this variation affects the lattice site temperature distribution. The lattice temperature distribution in the radial direction is not influenced by the diffusion of energy in the radial direction. Abrupt changes in the Seebeck coefficient across chromium and copper layers are observed

Investigation Into The Seebeck Coefficient in Two-Layer Assembly During Laser Short-Pulse Heating

The Seebeck coefficient in a substrate varies with electron temperature such that it increases with increasing temperature. The Seebeck coefficient for different materials differs even though the materials have similar thermal properties. In this study, the Seebeck coefficient in a two-layer assembly exposed to laser short-pulse heating is considered. The assembly consists of gold and copper, and the gold layer is situated on top of the copper. In order to investigate the change in the Seebeck coefficient with layer thickness, three different thicknesses of gold layer are accommodated in the simulations. An abrupt change in the Seebeck coefficient occurs across the layers, despite the smooth decay of electron temperatures in this region due to the similar thermal properties of the layer materials. Consequently, the Seebeck coefficient variation across the layers can form the basis for measurement of layer thickness