Salāmat-i ijtimā̒ī (Dec 2019)
Self-efficacy Prediction in Job Decision Making based on Job Satisfaction among Employees of Islamic Azad University in West of Mazandaran
Abstract
Background and Objective: Job satisfaction is a factor that increases the efficiency and self-efficacy and can help improve career decisions. The purpose of this study was to predict self-efficacy in job decision making based on job satisfaction among employees of Islamic Azad University, West of Mazandaran. Materials and Methods: This study was a correlational study. The research population consisted of employees of Mazandaran Azad University, among whom 500 employees were selected using stratified sampling method. Data was collected via a self-efficacy questionnaire in job-decision making and Minnesota's job satisfaction questionnaire. For analysis of the research data, Pearson correlation coefficient and structural equation modeling were used using SPSS-22 and AMOS-22 software. Results: The mean (SD) age of the male employees was 38.9 (7.7) and female employees 35.6 (6.5). Job satisfaction with mean (SD) 3.6 (0.5) was associated with self-efficacy in job-decision making 3.5 (0.4) employees and its components included organizational climate (t=16.74), the opportunity to progress (t=16.14), leadership style (t=15.81), job type (t=15.38), physical conditions (t=15.25) and payment system (t=13.97) can predict self-efficacy in career decision making, respectively (P<0.001). Conclusion: The study showed that increased job satisfaction and improving its components including payment system, job type, developmental opportunity, organizational climate, leadership style and physical conditions was associated with increased self-efficacy in employee career decision making. DOI: http://doi.org/10.22037/ch.v7i1.27586
