dc.description.abstract | The rate of unemployment is shocking in Kenya; many youthful individuals who should be working find themselves unemployed even after earning college degrees. Because of their dissatisfaction over the high unemployment rate, they are forced to accept any available job opportunity, irrespective of whether it is, or not within their field of expertise. This eventuality culminates into career-job mismatch, whereby one’s education specializations, background as well as their qualification are not congruent with the job they do. This research attempted to model the factors influencing career-job mismatch in Kenya. Precisely, the project modeled and analyzed the influence of education level, work experience, individual characteristics as well as ethnicity on career-job mismatch in Kenya. The Maslow’s motivation theory, Job fit, Human capital theory, Agency theory as well as the Resource dependence theories guided this project. The study used primary data which was acquired via questionnaires which had incorporated the Likert scale rating. The gathered data was analyzed using the Statistical Package for Social Sciences Version 20. Correlation analysis was performed so as to determine whether there was association between the independent variables and the dependent variable. Before fitting the multiple regression model, multicollinearity between the independent variable was tested via the Variance Inflation factor and the Tolerance level. The model’s regression coefficients were used in testing the hypothesis at 0.05 level of significance, after which the hypotheses were either rejected or failed to be rejected. The hypothesis testing led to the rejection of H01, H02, H03, and H04, this indicated that all the considered variables influenced career-job-mismatch in Kenya. Ultimately, we recommended that the Kenyan government should speedily take on mechanisms which will address and mitigate the joblessness menace in the country | en_US |