Workplace stress is a common problem with broad effects in professional life. This study aimed to understand how workplace stressors affect job satisfaction among biologics development professionals. A cross-sectional...Workplace stress is a common problem with broad effects in professional life. This study aimed to understand how workplace stressors affect job satisfaction among biologics development professionals. A cross-sectional survey was conducted at a biologics development organization. Multiple linear regression analysis was performed using years of experience, ambiguity, job conflict, perceived control, social support, job demands, self-esteem, and self-rated workplace stress as independent variables and job satisfaction as dependent variable (response). The regression model indicated that the workplace stressors and their two-level interactions significantly predicted employees’ job satisfaction, which explained 89% of the variance in level of job satisfaction (R2 = 0.89, F(17, 16) = 7.251, p = 0.0001). The interaction between perceived control and job demand and interaction between self-rated stress and job conflict had the biggest effect size on job satisfaction. This model was further used in Monte Carlo simulation to predict the outcome of job satisfaction under different work conditions. The findings will help the management to develop strategies to improve employee job satisfaction.展开更多
文摘Workplace stress is a common problem with broad effects in professional life. This study aimed to understand how workplace stressors affect job satisfaction among biologics development professionals. A cross-sectional survey was conducted at a biologics development organization. Multiple linear regression analysis was performed using years of experience, ambiguity, job conflict, perceived control, social support, job demands, self-esteem, and self-rated workplace stress as independent variables and job satisfaction as dependent variable (response). The regression model indicated that the workplace stressors and their two-level interactions significantly predicted employees’ job satisfaction, which explained 89% of the variance in level of job satisfaction (R2 = 0.89, F(17, 16) = 7.251, p = 0.0001). The interaction between perceived control and job demand and interaction between self-rated stress and job conflict had the biggest effect size on job satisfaction. This model was further used in Monte Carlo simulation to predict the outcome of job satisfaction under different work conditions. The findings will help the management to develop strategies to improve employee job satisfaction.
