Factors Influencing Nurses’ Job Performance in Korea and Mongolia: A Cross-Sectional Study

Abstract

Purpose: This study aimed to identify the factors influencing job performance among Korean and Mongolian nurses.Methods: This descriptive cross-sectional study was conducted to identify the factors affecting job performance among Korean and Mongolian nurses. In Korea, data collected using paper questionnaires from 129 nurses in wards caring for cancer patients were analyzed. In Mongolia, data from 131 individuals collected through an online questionnaire were analyzed. Descriptive statistics, the independent t-test, one-way analysis of variance, Pearson’s correlation coefficients, and multiple regression analysis with SPSS/WIN 25.0 were utilized for data analysis.Results: Multiple regression analysis revealed that based on the Korean data, grit (β=.35, p<.001) and social support (β=.29, p=.001) were the main variables explaining job performance. The explanatory power of the model was approximately 41%. Meanwhile, multiple regression analysis of the Mongolian data revealed grit (β=.37, p=.001) and age (β=-.19, p=.027) as the main variables explaining job performance. The explanatory power of the model was approximately 8%.Conclusion: Grit strongly affected the job performance of nurses in both countries. Their grit may be improved by developing educational programs that help nurses clearly set self-development goals and ultimately improve their job performance. As social support also significantly affected the job performance of Korean nurses, this factor may be considered in improving the job performance of nurses in Mongolia.