COVID-19 and Quitting Jobs

Demirkaya, Harun; Aslan, Mustafa; Güngör, Habibe; Durmaz, Vildan; Şahin, Didem Rodoplu

doi:10.3389/fpsyg.2022.916222

Cited by 9 publications

(6 citation statements)

References 25 publications

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“…Of particular importance was the individual’s personal history with COVID-19, which was found to be a significant contributing factor to their decision to leave their place of employment. 23…”

Section: Discussionmentioning

confidence: 99%

“…Of particular importance was the individual's personal history with COVID-19, which was found to be a significant contributing factor to their decision to leave their place of employment. 23 Numerous factors have been identified in the literature that can be linked to healthcare workers' job satisfaction, including gender, marital status, and education level. Recent studies conducted in Vietnam and China have indicated that female healthcare staffs have reported lower levels of job satisfaction compared to their male colleagues.…”

Section: Discussionmentioning

confidence: 99%

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Health staff’s job motivation post COVID-19 pandemic: A case study in Vietnam

Thanh,

Anh,

Huyen Chang

et al. 2023

SAGE Open Medicine

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Objectives: Vietnam has witnessed a severe shortage of qualified staff in the public health sector after the COVID-19 pandemic. Our cross-sectional study aimed to identify job motivation and associated factors among experienced frontline health staff working in public health in order to have preventive measures in the event of future pandemics. Methods: A cross-sectional study, from March 2022 to November 2022 at a Vietnamese public hospital, on the job motivation and the predicted factors of 381 healthcare workers who participated in the frontlines of the COVID-19 pandemic from 2020 to 2021. The survey tool, developed by Mbindyo Patrick (2009), includes three components: (i) job satisfaction, (ii) organizational commitment, and (iii) conscientiousness. The survey tool was revalidated in our study with structural equation model for the construction of job motivation model and confirmatory factor analysis for certifying the elementary three components (factors) of the tool. And the tool’s reliability was evaluated by Cronbach’s Alpha. Bivariate analysis and multiple logistic regression were used to identify the predicted factors with the job motivation cutoff of 4.0. Results: The tool for job motivation constructs showed all specifications were good fit indices and the Cronbach’s Alpha was 0.85. The job motivation of health staff decreased dramatically in all dimensions post COVID-19 pandemic, with a mean score of 3.26. Job satisfaction and organizational commitment were the most negatively impacted areas, with scores of 3.02 and 3.00, respectively. The predicted factors of low job motivation were young age (less than 30 years old), low monthly income (less than $400), high qualification, and non-managerial positions with odds ratio of 2.27, 2.5, 2.09, and 3.61, respectively. Conclusion: Following the COVID-19 outbreak in Vietnam, healthcare workers who had been in the frontlines of the COVID-19 pandemic, had experienced a significant decline in their job motivation, despite their continued employment at public hospitals.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Health staff’s job motivation post COVID-19 pandemic: A case study in Vietnam

Thanh,

Anh,

Huyen Chang

et al. 2023

SAGE Open Medicine

View full text Add to dashboard Cite

show abstract

“…While, the measurement data such as personality traits and coping style scores were expressed as (

) ( 48 ). T test ( 58 ) was used to compare the correlation between personality trait scores, coping style scores and the incidence of adverse emotions. Finally, the significant variables in the above chi-square test, T test and Pearson correlation analysis were used as the independent variables for subsequent regression fitting, and the occurrence of adverse emotions was used as the dependent variable for collinearity diagnosis.…”

Section: Methodsmentioning

confidence: 99%

The status of e-learning, personality traits, and coping styles among medical students during the COVID-19 pandemic: a cross-sectional study

Wei,

Yun,

Zhang

et al. 2023

Front. Psychiatry

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ObjectiveThe objective of this study was to explore the learning preferences and habits of medical students during the pandemic home e-learning, and to investigate the incidence of adverse emotions, optimistic character level and coping style. To explore the influencing factors of adverse emotions.MethodsA cross-sectional survey was conducted in China from March to June 2022. Medical students were recruited from three universities in China, and a questionnaire survey was conducted. The questionnaires consisted of a “e-learning preferences and habits questionnaire”, life orientation test questionnaire (LOT-R), and simple coping style questionnaire (SCSQ). Finally, a total of 492 medical students who met the inclusion and exclusion criteria became the research subjects and completed the survey.ResultsA total of 57.7% believed they experienced no adverse emotions during home e-learning. ① During the COVID-19 pandemic, the score of optimistic personality of medical students was (7.25 ± 1.933), and the score of pessimistic personality was (5.82 ± 2.240). The score of positive coping was (21.75 ± 5.379), and the score of negative coping was (11.75 ± 3.611). ② The occurrence of medical students' adverse emotions during e-learning was influenced by “Whether there is a private, quiet space to study”, “Degree of knowledge mastery”, “Physical discomfort or not”, “Keep a regular schedule or not”, “Optimistic personality tendency”.ConclusionThis study demonstrates the during home e-learning, most medical students have their own learning equipment and can meet their learning needs. Their favorite mobile device to use is a mobile phone, and their favorite method of teaching is to provide course playback. More than half of medical students believe that they have some inconvenience in conducting research during home e-learning. With regard to teacher's real-time screen, the largest number of medical students support teachers turning on live screens so that they feel like they are interacting with the teacher. The preference for blended teaching is highest among medical students. In general, medical students were highly adaptive of the newest e-learning approach. Based on the statistic analysis, the factors that “Whether there is a private, quiet space to study”, “Degree of knowledge mastery”, “Physical discomfort or not”, “Keep a regular schedule or not”, and “Optimistic personality tendency” may be the influencing factors for the occurrence of adverse emotions.

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“…For instance, Martin et al (2022) found that remote working has increased job stress and reduced job satisfaction in Luxembourg. Demirkaya et al (2022) reported that the feeling of entrapment is significantly correlated with job quits in Turkey.…”

Section: Introductionmentioning

confidence: 99%

Job Satisfaction and the ‘Great Resignation’: An Exploratory Machine Learning Analysis

Celbiş,

Wong,

Kourtit

et al. 2023

Soc Indic Res

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Labor market dynamics is shaped by various social, psychological and economic drivers. Studies have suggested that job quit and labor market turnover are associated with job satisfaction. This study examines the determinants of job satisfaction using a large survey dataset, namely the LISS Work and Schooling module on an extensive sample of persons from the Netherlands. To handle these big data, machine learning models based on binary recursive partitioning algorithms are employed. Particularly, sequential and randomized tree-based techniques are used for prediction and clustering purposes. In order to interpret the results, the study calculates the sizes and directions of the effects of model features using computations based on the concept of Shapley value in cooperative game theory. The findings suggest that satisfaction with the social atmosphere among colleagues, wage satisfaction, and feeling of being appreciated are major determinants of job satisfaction.

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COVID-19 and Quitting Jobs

Cited by 9 publications

References 25 publications

Health staff’s job motivation post COVID-19 pandemic: A case study in Vietnam

Health staff’s job motivation post COVID-19 pandemic: A case study in Vietnam

The status of e-learning, personality traits, and coping styles among medical students during the COVID-19 pandemic: a cross-sectional study

Job Satisfaction and the ‘Great Resignation’: An Exploratory Machine Learning Analysis

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