Workplace wellness expectations: A research on information technology department employees of a private bank
Is this your thesis?
This record came from a bulk archive import. If it’s yours, link it to your profile.
Abstract (EN)
The main purpose of this study is to measure and understand whether there are significant differences in the demographic characteristics of workplace wellness expectancy levels of employees according to gender, marital status, working years at the institution and education level. Previous studies indicates that, the most common workplace wellness application areas are; eating healthy, physical activity, stress management and smoking cessation. With these areas and the preferences of the applications time, duration and individual or group choice, the survey had 7 main topics and total of 23 questions. The survey of this study applied to the employees of a private bank information technology department, to investigate the expectation levels of the employees. The survey was conducted with 313 out of 509 people working in different positions. In order to determine the level of validity of the expectation scale, 230 participants were reached in pilot study at the first stage. As a result of the pilot study with 230 participants, there was no need to remove the substance from the scale when the item analyzes of the expectation levels were made. As a result of the research, it has become clear that the general expectation level of employees' workplace wellness is high. At the same time for the 7 main topics determined, significant differences were found according to the demographic characteristics of the employees' expectation levels.
Author
Yusuf Can Şakar
Institution
How to Cite
Yusuf Can Şakar (Master Thesis). Workplace wellness expectations: A research on information technology department employees of a private bank, 2018, İstanbul Beykent University.
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from İstanbul Beykent University
- Detection of diabetic retinopathy disease by classifying fundus images using deep learning(2024)
- Eyyuhe'l-Veled translation(2018)
- Researching the 18th century of Gajar Dynasty Period and adapting it to modern fashion(2019)
- No. 2 Muhimme Registry (963/1555) evaluation – transcription (S. 1-102)(2019)
- Investigation of the relationship between indecisiveness, resistance to change, and emotional self-efficiency in individuals aged 18-40(2022)
- A research on quality in urban spaces and urban design guides in the context of local identity(2017)
