Abstract: The government through its employees manages and allocates resources to the citizenry through the various public institutions. Hence, the need to have proper and efficient monitoring mechanisms on performance of the public officers and factors contributing to unrealized targets. The main objective of the study was to establish the influence of employee benefits on Employee Performance in the State Corporations in Kenya. The study was guided by three theories which include; Abraham Maslow’s, Hertzberg’s, Vrooms’ expectancy, scientific management, Adams Equity Reinforcement and goal setting theories. The study used descriptive and explanatory research designs and targeted 6 respondents from the 107 sampled state corporations totaling to 642. The probability and non-probability sampling was adopted and the study used stratified sampling and purposive sampling. The questionnaire reliability was checked with the use of Cronbach alpha ratio and SPSS prepared and undertook the procedure of converting data in to information referred to as analysis. This was checked at 95% significance level through application of regression analysis and results were presented and discussed through pie charts, pie charts, graphs, bar charts and tables. In summary, the findings indicated that most state corporations are keen to offer benefits to the employees that include retirement benefits and medical cover. The respondents also pointed out that their organizations had staff welfare scheme that would be able to assist their employees in their social issues. However, it was noted that employees’ needs were not met fully by the welfare schemes.
Keywords: Reward Management Practices, Employee Benefits, Employee Performance, State Corporations.
Title: INFLUENCE OF EMPLOYEE BENEFITS ON EMPLOYEE PERFORMANCE IN THE STATE CORPORATIONS IN KENYA
Author: Regina Wairimu Kamwenji, Dr. Patrick Karanja Ngugi, PhD, Dr. Mary Kamaara, PhD, Professor Romanus Odhiambo
International Journal of Social Science and Humanities Research
ISSN 2348-3156 (Print), ISSN 2348-3164 (online)
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