The purpose of this study is to analyze the relation between level of participation in decision making of university administration staff and their job satisfaction. The specific set of research points in order to attain the purpose is as following.
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The purpose of this study is to analyze the relation between level of participation in decision making of university administration staff and their job satisfaction. The specific set of research points in order to attain the purpose is as following.
1. What are the differences that background variables bring to participation in decision making and job satisfaction of university administration staff?
2. What are the correlations between participation in decision making and job satisfaction of university administration staff?
3. How does university administration staff participation in decision making affect job satisfaction?
In order to analyze the relationship between participation in decision making and job satisfaction level of the university administration staff, 220 university administration staff currently working at public or private college located in Busan were selected for sampling. 213 surveys were entered into the program SPSS 25.0 for analysis.
To process the data, frequency and percentage were calculated to determine the general features of the research objects and technical statistics analysis was applied to verify general features of variables. Next, t-test and one-way ANOVA were applied to show the differences between the background variables. Scheffe post-hoc test was later applied to confirm whether there are differences between the groups. Then, Pearson's Correlation Analysis was applied to calculate the correlation between participation in decision making and job satisfaction level of the university administration staff. Lastly, the Multiple Regression Analysis was applied to see how the level of involvement in decision making influences how much the administration staff are satisfied with their jobs.
The result of the research performed with the procedure above was as following.
First, when university administration staff's participation in decision making and job satisfaction according to the background variables were analyzed, men had higher participation than women in every variable and men had higher job satisfaction in the work itself and human resource in the perspective of gender.
In the level of participation in decision making by age, the value of the duty itself was high in the order of 20’s, 30’s, and 40’s. In working conditions, human resource, and policy making, the values are higher in 40’s than 20’s and 30’s. For job satisfaction, 40's showed higher satisfaction in work itself than 20’s and 30’s. 40’s had higher values in potentiality, acknowledgement, working environment, and welfare than 20’s.
In the perspective of college type, there was no significant group difference in decision making involvement and job satisfaction. From the working period aspect, university administration staff who worked 20 or more years had more involvement in duty itself, and working conditions. For working condition and policy making, administration employees with 20 or more years of working had higher value than those with less than 5 years of working. In the perspective of job satisfaction, administration staff with 20 or more years of working had higher value in work itself, potentiality, and acknowledgement than those with less than 5 years. Also, ones with 20 or more years of working had higher value in working environment and human resource than those with less than 5 years and those with less than 10 years of working.
For working types, full time workers had higher involvement in decision making than temporary workers in every variable. Also, the full-time administration staff had higher job satisfaction in potentiality and acknowledgment than temporary ones.
Second, the correlation between university administration staff participation in decision making and their job satisfaction was r=663(p<.01), significant enough positive correlation. The participation in decision making factors more correlated to the job satisfaction was in the order of human resource(r=.515), policy making (r=.576), duty itself (r=.596), and working conditions (r=.639). The job satisfaction and working condition had the strongest correlation.
Third, explanatory power of university administration staff's participation in decision making predicting job satisfaction was 46.2% (Adjusted R2=.451) high enough to be significant. The participation level affected every variable of job satisfaction. Under job itself, duty itself (t=3.592) and working condition (t=3.581) gave effects; under potentiality and acknowledgement, duty itself (t=3.364); under human resource, human resource (t=3.125); under compensation, compensation (t=2.388); under human relations, duty itself (t=2.016) and working condition (t=4.287); under working environment and welfare, duty itself (t=2.874) and working condition (t=3.308) did so.
The study showed there is a relation between college administration staff’s participation in decision making and job satisfaction and the participation level affects every job satisfaction variable. Thus, ways to provide higher authority to administration staff in decision making must be further studied. Yet, this is only applicable with university administration staff's sufficient expertise in duty and clear work range and responsibility, therefore, solution for improved decision-making participation must be arranged.