Thesis Public Defense | VNP24 - Lê Thị Vân Anh

Employee's decision to quit: A case study at Cho Ray Hospital Student: Lê Thị Vân Anh, VNP 24 Supervisor: Dr. Trương Đăng Thụy Abstract: This study conducted a survey of employees of Cho Ray Hospital in 2020 to examing the determinants of job quit. Two decision variables are examined, including

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October 22, 2021 - 4:00 pm

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October 22, 2021 - 5:00 pm

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Employee’s decision to quit: A case study at Cho Ray Hospital

Student: Lê Thị Vân Anh, VNP 24

Supervisor: Dr. Trương Đăng Thụy

Abstract:

This study conducted a survey of employees of Cho Ray Hospital in 2020 to examing the determinants of job quit. Two decision variables are examined, including employees’ plan to quit in the next 12 months, and the decision to accept a hypothetical offer with salary levels higher  than their current salary. Several independent variables were used to examine the decision to quit, including job characteristics, working conditions, employees’ family circumstances, and individual characteristics. A logistic regression is applied for both dependent variables. The analyses indicates some important findings and policy implications.

The first important finding is that salary at Cho Ray Hospital is not a key driver of job quit. In all models, increase in the current salary does not result in higher probability of job quit. This implies that increase in current salary at Cho Ray Hospital may improve the living standard of their staffs, but this should not be the key policy to prevent job quit. Second, job satisfaction is the key factor that affect employees’ decision to quit. The analysis reveals that the probability of job quit is quite high for the group of employees who have low level of job satisfaction, while this probability is quite low for those who have high job satisfaction. This implies that improving job satisfaction should be the key policy in preventing job quit. Finally, employees with more dependands have higher probabilities of job quit, probably because of the pressure of earning their living. This helps Cho Ray Hospital identify the group of employees who have high potential of quitting their job.

 

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