Factors Affecting Organizational Commitment of Personnel in the Operations Group Government Savings Bank Head Office
Keywords:
Job Characteristics, Work Experience, Organizational CommitmentAbstract
This research consists purposes were 1. to study compare the organizational commitment of personnel in the Operations Group, Government Savings Bank Head Office, classified by demographic characteristics 2. to study the factors of job characteristics affecting the organizational commitment of personnel and 3. to study the factors of work experience affecting the organizational commitment of personnel. This research was a quantitative study. The research instrument was a questionnaire. The sample group consisted of 260 employees from the operations group of the Government Savings Bank. Simple random sampling was used. The data collected from the questionnaires were analyzed using descriptive statistics, including percentage, mean, standard deviation and t-test. One-Way Anova and multiple regression analysis were used. The results showed that 1) Personnel from the operations group of the Government Savings Bank, head office, with different ages having different organizational commitment, at the .05 level. Gender, status, education level, length of service, monthly income, and job position did not have any statistically significant differences in organizational commitment 2) Job characteristics influenced organizational commitment of personnel from the operations group of the Government Savings Bank, head office, with job characteristics in terms of job feedback and job opportunities having the opportunity to interact with others having statistically significant effects at the .01 level and 3) Work experience influenced organizational commitment of personnel from the operations group of the Government Savings Bank, head office, with job experience in terms of expectations being met from the organization having a statistically significant effect at the .05 level and attitudes toward coworkers and the organization having a statistically significant effect at the .01 level.