INFLUENCE OF KNOWLEDGE SHARING AND LEADERSHIP STYLE AS DETERMINANTS OF JOB SATISFACTION AMONG IMMIGRATION OFFICERS IN NIGERIA.
Description
This study examines the influence of knowledge sharing and leadership style as determinants of job satisfaction among officers of the Nigeria Immigration Service in Nigeria. The study utilised a survey design and considered one hundred (100) immigration officers, comprising 62 (62.0%) male and 38 (38.0%) female officers, using a simple random sampling technique (a sample was drawn among immigration officers in Makurdi, Benue State, Nigeria). Data was analysed using descriptive and inferential statistics, while a standardised structured self-report questionnaire with four sections was used for data collection. Four hypotheses were tested at the.05. level of significance. Results revealed a significant influence of knowledge sharing on job satisfaction among immigration officers in Makurdi [R =.430 and R2 =.185; F (1, 98) = 22.220; p<.001]. Also, the results further show that knowledge sharing significantly accounted for 18.5% of the total variance observed in job satisfaction. Additionally, the result explains that there is a significant [r (98) =.378; p<.001] relationship between leadership style and job satisfaction among the study sample. Furthermore, the result discovered that there was no significant relationship between age [r (98) =.175; p>.05], religion [r (98) = -.014; p>.05], marital status [r (98) = -.119; p>.05], and job satisfaction. Lastly, the result implies that there was no significant gender difference (male and female) in job satisfaction among immigration officers in Nigeria [t (98) = 1.022; p >.05]. Given these results, the study concluded that knowledge sharing and leadership style are determinants of job satisfaction among officers of the Nigeria Immigration Service. Therefore, the study recommended the adoption of effective leadership styles and provision of knowledge-sharing mechanisms to yield commitment and lead to job satisfaction.
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ISRGJAHSS2142023.pdf
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