Publication: Analysis Of Organization Leadership As An Implementation Strategy Of Performance Of National Social Security Fund, Kenya
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2024
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Asian Journal of Management Entrepreneurship and Social Science
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Abstract
One of the most important factors that determine the success of business endeavors is
the organizational leadership that is both focused and effective. For the purpose of inspiring
teams and directing efforts toward the accomplishment of organizational objectives, this
leadership is absolutely necessary. The study purpose was to analyze organization leadership
as an implementation strategy of performance of National Social Security Fund, Kenya. The
researcher identified three theories for the study; Economic Theory of wealth creation, Social
cognitive Theory and Systems Theory. The study philosophy was interpretivism with
explanatory and descriptive research design espoused. The target population of the study was
365 employees of the National Social Security Fund at the head quarters. The population was
stratified or categorized according to their cadres, then purposive sampling was used on the
predetermined senior management cadre while simple random sampling techniques was used
on the middle management and non-management staff who had equal chances of being
selected for analysis. Questionnaires were administered to be completed by respondents for
primary data while document analysis helped the researcher to secure secondary data. The
sample size was 186 and this was determined using Krejcie and Morgan table. Data was
analyzed using inferential and descriptive statistics. Under inferential statistics the researcher
used regression while under descriptive statistics; the mean and the standard deviation were
used for measures of central tendency and measures of dispersion respectively. The outcome
was presented by the use of frequency tables. The study demonstrated a strong positive
correlation (R = 0.793) between leadership and performance, with approximately 62.9% of the
variability in performance explained by the model (R Square = 0.629). ANOVA results indicated
that the regression model is statistically significant (F = 9.168, p < .001), suggesting that