ASSESSMENT OF RELATIONSHIP BETWEEN RECRUITMENT STRATEGIES AND JOB SATISFACTION IN THE LAKE REGION ECONOMIC BLOC COUNTY GOVERNMENTS, KENYA
Date
2024Author
Omosa, Joash
Mwangi, Grace
Igoki, Caroline M
Muriithi, Ruth
Metadata
Show full item recordAbstract
The contemporary business environment is becoming dynamic and complex. Organizations focus on improving efficiency and effectiveness by deploying well-structured recruitment strategies to attract and retain qualified people. Competitive human resources are a critical component for the success of any organization. Suitable recruitment strategies might aid in getting quality and productive individuals and alleviate problems such as performance, absenteeism and attrition. This study assessed the relationship between recruitment strategies and employees' job satisfaction in the Lake Region Economic Bloc (LREB) County Governments in Kenya. The study was anchored on the equity theory and affective event theory. The study employed both descriptive and correlational research designs. The target population for the study was 14,361 employees working in three county governments: Kisumu, Kakamega and Bomet. Krejcie and Morgan's formula was used to get a sample size of 374 employees who participated in the study. Primary data was collected using structured questionnaires, analyzed using percentages and regression models, and presented in tables. The study findings indicate that there was a strong positive and statistically significant relationship between recruitment strategies and job satisfaction in the Lake Region Economic Bloc County Governments (B=0.821, p=.000). The study recommends that County governments should embrace recruitment strategies based on integrity, transparency, and inclusivity to increase job satisfaction. Further, more studies should be undertaken in the private sector to assess the relationship between recruitment strategies and job satisfaction in Kenya.
URI
https://doi.org/10.5281/zenodo.11473377http://repository.mut.ac.ke:8080/xmlui/handle/123456789/6611
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- Journal Articles (BE) [338]