Measuring job satisfaction of shift workers based on fuzzy systems approach

Abstract

Companies are supposed to be aware of the parameters of job satisfaction to retain a greater motivation and reduce the staff turnover. Shift workers have non-routine work hours which lead to some social disadvantages, higher levels of various disorders, and lower concentration level. From this point of view, it is inferred that measuring job satisfaction of shift workers plays an important role for companies on the way to reduce the work-related stress. Hence, a questionnaire consists of sleepiness and fatigue, health and well-being, social and domestic situation is submitted to 60 shift workers. The results are analyzed and it is seen that there are both linguistic and numerical data which cause some complexity. In order to overcome the uncertainty, fuzzy multiple criteria decisionmaking method is adopted which addresses approximate reasoning. The main aim of the study is to emphasize the importance of adverse effects of shift work and propose a model to measure the job satisfaction. In the context of shift working, the findings of the study provide managers prominent results on how to enhance the job satisfaction of their employees. In the light of the obtained results, companies should focus more on ‘‘sleep and fatigue’’ to increase productivity.