Evaluation of psychosocial risk factors encountered for energy sector employees by MAIRCA method
Künye
Tepe, S., Eti, S., Moda, H. M. ve Kahraman, Z. (2024). Evaluation of psychosocial risk factors encountered for energy sector employees by MAIRCA method. Contributions to Management Science içinde F2848, (65-83. ss.). Springer Science and Business Media Deutschland GmbH. http://dx.doi.org/10.1007/978-3-031-51532-3_6Özet
Psychosocial risk factors faced by those working in the energy sector is an important issue that can cause negative effects. These risk factors can adversely affect both the physical and mental health of employees and thus have negative effects on work efficiency and employee satisfaction. In this study, the renewable energy sector was evaluated in terms of psychosocial risk factors it presents to its employees. These risks include factors such as heavy workload, constant work demands, and time pressure. In addition, long working hours, irregular work schedules, and job instability are other factors that negatively affect the psychosocial health of employees. Psychosocial risks such as stress, burnout, job dissatisfaction, and job instability can negatively affect employee motivation and performance. Therefore, it is necessary to consider proactive measures aimed at prevention and management of psychosocial risks in the workplace. Reducing psychosocial hazards can be achieved by taking proactive measures around accommodating employees’ needs for frequent breaks and relaxation periods, helping them manage their workload and time, and setting up work schedules. Further assessment with regards prevailing psychosocial risk factors associated with working in the energy sector should be considered and appropriate measures taken for the health and work efficiency of employees. This will bring about a healthier and more productive work atmosphere in the workplace as well as improve the well-being of the employees. In the study, psychosocial risk factors in energy sector were introduced, and these risk factors for different energy sectors were evaluated using the MAIRCA method.