This study aims to assess the effects of commonly examined police stressors' on the members of a developing country's centralized police department: Turkish National Police (TNP).
Abstract
Purpose
This study aims to assess the effects of commonly examined police stressors' on the members of a developing country's centralized police department: Turkish National Police (TNP).
Design/methodology/approach
This study is based on a data collected through a self‐administered survey among the members of the TNP during the summer of 2005 (n=812). Using multivariate level OLS regression models, predicting effects of commonly examined police stressors on the participants' stress levels are analyzed. Findings are evaluated in comparison to existing literature about police stress.
Findings
This study indicates that organizational issues are the most important causes of stress in policing. Besides, it was found that several police stressors, as found for local police departments, might not be having the same effects for larger, centralized police departments.
Practical implications
Modern policing can be a less stressful job if the police organizations take necessary steps towards applying modern management techniques at both macro and micro levels. Demographic differences, danger at work, or workload should not be counted as predictors of stress in policing without a through consideration of organizational matters.
Originality/value
This is the first study empirically and systematically assessing the issue of stress among the members of the TNP. In addition, it is one of the rare studies published in English regarding the issue of police stress in a developing country.
Erhan Ada, Halil Kemal Ilter, Muhittin Sagnak and Yigit Kazancoglu
The main aim of this study is to understand the role of smart technologies and show the rankings of various smart technologies in collection and classification of electronic waste…
Abstract
Purpose
The main aim of this study is to understand the role of smart technologies and show the rankings of various smart technologies in collection and classification of electronic waste (e-waste).
Design/methodology/approach
This study presents a framework integrating the concepts of collection and classification mechanisms and smart technologies. The criteria set includes three main, which are economic, social and environmental criteria, including a total of 15 subcriteria. Smart technologies identified in this study were robotics, multiagent systems, autonomous tools, smart vehicles, data-driven technologies, Internet of things (IOT), cloud computing and big data analytics. The weights of all criteria were found using fuzzy analytic network process (ANP), and the scores of smart technologies which were useful for collection and classification of e-waste were calculated using fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR).
Findings
The most important criterion was found as collection cost, followed by pollution prevention and control, storage/holding cost and greenhouse gas emissions in collection and classification of e-waste. Autonomous tools were found as the best smart technology for collection and classification of e-waste, followed by robotics and smart vehicles.
Originality/value
The originality of the study is to propose a framework, which integrates the collection and classification of e-waste and smart technologies.
Details
Keywords
Eda Başmısırlı, Aslı Gizem Çapar, Neşe Kaya, Hasan Durmuş, Mualla Aykut and Neriman İnanç
The aim of this study was to determine the effect of anxiety levels of adults on their nutritional status during the COVID-19 pandemic in Kayseri province, Turkey.
Abstract
Purpose
The aim of this study was to determine the effect of anxiety levels of adults on their nutritional status during the COVID-19 pandemic in Kayseri province, Turkey.
Design/methodology/approach
A total of 898 adults consisting of 479 individuals with and 419 individuals without a positive diagnosis of COVID-19 were included in the study. The individuals’ socio-demographic characteristics, health status, nutritional habits, anthropometric measurement and Fear of COVID-19 Scale (FCV-19S) information were obtained online.
Findings
The mean FCV-19S score of the participants was 17.49 ± 6.02. FCV-19S score was higher in those who reduced their consumption of protein sources compared to those who did not change and those who increased (p < 0.001). It was determined that FCV-19S scores of participants who increased their consumption of fruit/vegetables, sweets and sugar were higher than those who did not change their consumption of such items (p = 0.007). The FCV-19S scores of individuals who did not change their onion/garlic and snack consumption were lower than those who decreased or increased the consumption of these nutrients (p = 0.001, p = 0.002).
Practical implications
Education programs can be organized especially targeting vulnerable populations, such as women, individuals with chronic diseases and those experiencing COVID-19 symptoms. These programs can be conducted by dietitians and psychologists in collaboration, focusing on promoting healthy eating habits and coping strategies during stressful times.
Originality/value
It was determined that those who changed their nutrition habits during the COVID-19 pandemic had higher fear levels than those who did not. Individuals with high fear paid more attention to healthy nutrition than individuals without fear.
Details
Keywords
Haider Jouma, Muhamad Mansor, Muhamad Safwan Abd Rahman, Yong Jia Ying and Hazlie Mokhlis
This study aims to investigate the daily performance of the proposed microgrid (MG) that comprises photovoltaic, wind turbines and is connected to the main grid. The load demand…
Abstract
Purpose
This study aims to investigate the daily performance of the proposed microgrid (MG) that comprises photovoltaic, wind turbines and is connected to the main grid. The load demand is a residential area that includes 20 houses.
Design/methodology/approach
The daily operational strategy of the proposed MG allows to vend and procure utterly between the main grid and MG. The smart metre of every consumer provides the supplier with the daily consumption pattern which is amended by demand side management (DSM). The daily operational cost (DOC) CO2 emission and other measures are utilized to evaluate the system performance. A grey wolf optimizer was employed to minimize DOC including the cost of procuring energy from the main grid, the emission cost and the revenue of sold energy to the main grid.
Findings
The obtained results of winter and summer days revealed that DSM significantly improved the system performance from the economic and environmental perspectives. With DSM, DOC on winter day was −26.93 ($/kWh) and on summer day, DOC was 10.59 ($/kWh). While without considering DSM, DOC on winter day was −25.42 ($/kWh) and on summer day DOC was 14.95 ($/kWh).
Originality/value
As opposed to previous research that predominantly addressed the long-term operation, the value of the proposed research is to investigate the short-term operation (24-hour) of MG that copes with vital contingencies associated with selling and procuring energy with the main grid considering the environmental cost. Outstandingly, the proposed research engaged the consumers by smart meters to apply demand-sideDSM, while the previous studies largely focused on supply side management.