Yayınlar
- MakaleAçık Erişim2022The Effect of Behavioral Instruments on the Savings in Private\rPension Plans: The Case of Turkey
Altun, Tülın; Aydın, Aykut
In Turkey, significant changes have been made in the legislation of Individual\rPension System (IPS) in 2012 (matching contribution system has been introduced) and\r2016 (Automatic Enrollment System has been established). Thus, behavioral\rinstruments which can be defined as libertarian paternalistic, such as default rules and\rframing, have begun to be used more effectively in IPS. When the progress in IPS\rbetween the years 2003-2021 is examined, it has been determined that behavioral\rinstruments have a positive effect on the savings in the system, but these effects are\rsmall. It was concluded that the participants decided to continue or exit IPS with rational\rreasons. Participants who can benefit from full state subsidy in shorter time, have higher\rcontinuation rate and contribution amounts in the system. Participants exit the system\rwhen exits are optimal (such as after 36th months when they are entitled to benefit\rfrom the minimum state subsidy, and after the 5th year when entrance fees are no\rlonger charged). With rational reasons like the real return of IPS being lower compared\rto alternative investment instruments and its fund management fees being high, the\rhouseholds in Turkey either do not prefer saving on IPS or see the IPS as a short-term\rsaving instrument.
- MakaleAçık Erişim2021Scopus SJRQ2The effect of COVID-19 anxiety levels of healthcare professionals on the quality of working life and related factors
Aydın, Aykut; Kulakaç, Nurşen; Aydın Sayılan, Aylin
Aim: This study aims to determine the effect of COVID-19 anxiety levels of healthcare professionals on their working life quality. Method: The sample of the descriptive, cross-sectional and correlational study consisted of healthcare professionals working in two university hospitals in western Turkey between May and July 2021. We used the “Personal Information Form, Coronavirus Anxiety Scale, and Working Life Quality Scale” as data collection tools. We used numbers and percentage calculations, arithmetic mean, median (25th–75th percentile), Mann–Whitney U test, Spearmen correlation analysis and Linear Regression analysis to analyse the data. Results: The mean score on the Quality of Life Scale of healthcare professionals was 3.74 ± 0.28, and the mean score on the Coronavirus Anxiety Scale (CAS) was 9.66 ± 6.06 (min. 0; max. 20). We found a negative and weakly significant relationship between the mean score of the CAS of healthcare professionals and the mean score of the employee quality of life scale. According to the results of the multiple linear regression analysis, we found the factors significantly affecting the anxiety states of healthcare professionals related to the Coronavirus are the quality of working life, age, sex and the state of caring for a patient with COVID-19. Conclusion: As a conclusion of this study, it was determined that healthcare professionals experienced anxiety, and anxiety decreased as ages, working years and the number of children they have increased. In addition, it was determined that as the anxiety of healthcare professionals increased, the quality of working life decreased.
