| dc.description.abstract | The study sought to assess the influence of recruitment practices on employee productivity in the
Isiolo County government. A descriptive cross-sectional study was conducted to assess the
impact of recruitment practices on employee productivity within the Isiolo County government.
The target population consisted of 1,600 employees, with a sample size of 320 respondents
calculated using Slovin’s formula. Descriptive statistics, such as frequencies, percentages,
means, and standard deviations, were used to summarize the data, while inferential statistics,
including correlation analysis and multiple regression, were applied to examine the
relationships between recruitment practices and employee productivity. A strong positive
correlation (r = .917**, n = 287, p = .000) was observed between recruitment practices and
productivity, indicating that improved recruitment techniques substantially enhance staff
productivity. The relationship was statistically significant at the 0.05 level. The analysis of
variance results confirmed the model’s goodness-of-fit in explaining variation in the dependent
variable (F = 502.241; df1 = 4; df2 = 282; Sig. = .000). The findings underscored the
importance of effective recruitment practices in boosting employee productivity, providing
actionable insights for improving hiring processes and organizational performance. The study
recommends that Isiolo County government should define role qualifications, implement
rigorous screening to hire qualified candidates, and conduct regular workforce planning to align
staffing with workload and goals, avoiding understaffing or overstaffing. The study supports
human capital theory, emphasizing that quality recruitment boosts productivity. It advocates
for clear job descriptions, enhanced recruitment policies, and data-driven hiring improvements. | en_US |
