Author :
Abstract
This paper seeks to understand the effects of the pandemic on employees’ perceptions and performance during the lockdown in Turkey. The study is also conducted to determine if statistically significant differences are present between the perceptions before and during the pandemic on the scope of demographic features. This study applies a cross-sectional study design, and the obtained data are analyzed using nonparametric tests such as Wilcoxon’s signed-rank test, Mann Whitney U test, and Kruskal–Wallis H test. The results of data analysis indicated that the wellbeing and performance of employees tend to be decreasing during the pandemic, and employee productivity is directly related to the employee wellbeing in this period. Meanwhile, the homeworking has negative correlations with the performance during the lockdown due to the Covid-19 anxiety and home conditions such as ergonomics, cohabitant, and preparedness. While the employees find their performance low during the pandemic, they see their productivity better than others.
Keywords
Abstract
This paper seeks to understand the effects of the pandemic on employees’ perceptions and performance during the lockdown in Turkey. The study is also conducted to determine if statistically significant differences are present between the perceptions before and during the pandemic on the scope of demographic features. This study applies a cross-sectional study design, and the obtained data are analyzed using nonparametric tests such as Wilcoxon’s signed-rank test, Mann Whitney U test, and Kruskal–Wallis H test. The results of data analysis indicated that the wellbeing and performance of employees tend to be decreasing during the pandemic, and employee productivity is directly related to the employee wellbeing in this period. Meanwhile, the homeworking has negative correlations with the performance during the lockdown due to the Covid-19 anxiety and home conditions such as ergonomics, cohabitant, and preparedness. While the employees find their performance low during the pandemic, they see their productivity better than others.
Keywords
- Baas, T.; Shamsfakhr, F., (2017). Times of crisis and female labor force participation-Lessons from
- Baas, T.; Shamsfakhr, F., (2017). Times of crisis and female labor force participation-Lessons from the Spanish flu, Preprint submitted to Elsevier, 1-61.
- Bahar, O.; Çelik-İlal, N., (2020). The economic effects of Coronavirus (COVID-19) in the tourism industry. Int. J. Social Sci. Educ. Res., 6(1): 125-139.
- Bracha, H.S.; Burkle, F.M., (2006). Utility of fear severity and individual resilience scoring as asurge capacity, triage management tool during large-scale, bio-event disasters. Prehospital Disaster Med., 21(5): 290-296.
- Çakmaklı, C.; Demiralp, S.; Kalemli-Özcan, Ṣ.; Yesiltas, S.; Yildirim, M.A., (2020). COVID-19and emerging markets: An epidemiological multi-sector model for a small open economy with an application to Turkey. National Bur. Econ. Res., 1-71.
- Çamlıbel, C., (2020). Study reveals Turkey’s normalization in June creates risk of second wave COVID-19 infections. News & Media Limited website.
- Chandrasekar, K., (2011). Workplace environment and its impact on organisational performance in public sector organisations. Int. J. Enterpr. Comput. Bus. Syst., 1(1): 1-19.
- CSSE (2020). COVID-19 Dashboard by the Center for Systems Science and Engineering (CSSE)at Johns Hopkins University (JHU). Retrieved from https://gisanddata.maps.arcgis.com/apps/ opsdashboard/index. html# /bda 7594740fd4 0299423467b48e9ecf6
- Dahiya, M.P., (2020). Impact of COVID-19 pandemic on economy’s employment creation power:special attention to new graduates and women workforce. Purakala: UGC CARE J., 31(27): 1-18.
- DeWitte, S.N.; Wood, J.W., (2008). Selectivity of Black Death mortality with respect to preexisting health. PNAS, 105(5), 1436-1441.
- Duncan, K., (2007). Pandemic flu: Current threat and development of a preparedness framework. WIT Trans. Built. Environ., 94: 473-485.
- Engle, S.; Stromme, J.; Zhou, A., (2020). Staying at home: mobility effects of covid-19. Working paper, 1-16.
- Fardin M.A., (2020). COVID-19 and anxiety: a review of psychological impacts of infectious disease outbreaks, Arch. Clin. Infect. Dis. 15 (COVID-19), Review Article.
- Faria-e-Castro, M.,(2020). Fiscal policy during a pandemic. Working Paper, 1-44.
- Gomez, K. A.; Gomez, A.A., (1984). Statistical procedures for agricultural Res.. 2nd Ed., John Wiley-Sons. New York.
- Hogg, S.H., (1967). The employment of women in Great Britain 1891-1921. Ph.D. Dissertation, University of Oxford. UK.
- Hui D.S.; Essam, I.A.; Madani, T.A.; Ntoumi, F.; Koch, R.; Dar, O.; Ippolito,G.; Mchugh,T.D.;Memish, Z.A.; Drosten, C.; Zumla, A.; Petersan, E., (2020). The continuing 2019-nCoV epidemicthreat of novel coronaviruses to global health: the latest 2019 novel coronavirus outbreak in Wuhan, China. Int. J. Infect. Dis., 91: 264-266.
- Hupkau, C.; Petrongolo, B., (2020). Work, care and gender during the Covid-19 crisis. CEP Covid- 19 Analysis. London Sch. Econ. Political Sci., 1-13.
- Huselid, M.A., (1995). The impact of human resource management practices on turnover, productivity, and corporate financial performance. Acad. Manage. J., 38(3): 635-672.
- ILO (2020). Int. Labour Organization website. Retrieved from https://www.ilo.org/global/about- the-ilo/news room/news/WCMS_739961/lang--en/index.htm
- Kessler R.C.; Barber C.; Beck A.; Berglund P.; Cleary P.D.; McKenas D.; Pronk N.; Simon G.;Stang P.; Ustun T.B.; Wang, P., (2003). The world health organization health and work performance questionnaire (HPQ). J. Occup.Environ. Med. 45(2): 156-174.
- Kraska-Miller, M. (2019). Nonparametric statistics for social and behavioral Sci., 1st Ed., CRCPress., United States of America.Lee, S.A.; Jobe, M.C.; Mathis, A.A., (2020). Mental health characteristics associated with dysfunctional coronavirus anxiety. Psychol.Med., 1-2.
- Ministry of Health (2020). Current Situation in Turkey (COVİD-19). Ministry of Health website. Retrieved from https://covid19.saglik.gov.tr/
- Nicola, M.; Alsafi, Z.; Sohrabi, C.; Kerwan, A.; Al-Jabir, A.; Losifidis, C.; Agha,M.; Agha, R.,(2020). The socio-economic implications of the coronavirus and COVID-19 pandemic: A Review. Int. J. Surg., 78: 185–193.
- Ripp, J.; Peccoralo, L.; Charney, D., (2020). Attending to the emotional well-being of the healthcare workforce in a New York City health system during the COVID-19 pandemic. Acad. Med., 1- 4.
- Stamatis, D.H., (2019). Essential statistical concepts for the quality professional, 1st Ed., CRCTopp, C.W.; Østergaard, S.D.; Søndergaard, S.; Bech, P., (2015). The WHO-5 Well-Being Index: a systematic review of the literature. Psychotherapy Psychosomatics, 84(3): 167-176
- Torkar, R.; Baltes, S., (2020, May 3). torkar/pandemic_programming: Minor fix (Version v0.9.4). Zenodo website. Retrieved from https://zenodo.org/record/3783511#.Xtt4-tUzbIW
- Unadkat, S.; Farquhar, M., (2020). Doctors’ wellbeing: self-care during the covid-19 pandemic. BMJ, 368: 1-2.
- Wiki (2020, June 02), COVID-19 pandemic cases in Turkey. Retrieved from https://pt.wikipedia. org/wiki/ Pandemia_de_COVID-19_na_Turquia
- Yong, A.G.; Lemyre, L.; Pinsent, C.; Krewski, D. (2017). Risk perception and disaster preparednessin immigrants and canadian‐born adults: analysis of a national survey on similarities and differences. Risk Anal., 37(12): 2321-2333.
