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Human resource recruitment policy and employee performance in the public sector

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dc.contributor.author Ngabo, Annet
dc.date.accessioned 2022-01-04T09:44:32Z
dc.date.available 2022-01-04T09:44:32Z
dc.date.issued 2021
dc.identifier.citation Ngabo Annet (2021). Human resource recruitment policy and employee performance in the public sector: A case study of the Uganda Bureau of Statistics. In Asiimwe, Solomon (Ed). Compendium of Graduate Students’ Research Abstracts. Entebbe: Nkumba University Press. en_US
dc.identifier.isbn 978-9970-694-00-6
dc.identifier.uri https://pub.nkumbauniversity.ac.ug/xmlui/handle/123456789/376
dc.description The study found 76% of observed variability, which showed how HR Recruitment Policy led to effective employee performance. This was explained by the two independent variables (HR Recruitment Policy and Employee Performance in UBOS). R=0.872 was the correlation coefficient between the observed value of the dependent variable and the predicted value based on the regression model. The observed value of 0.760 indicated that the linear regression model did not fit well. The Adj. R2 (0.771) was the proportion of the variability in the dependent variable explained by the linear regression. The results showed that proper human resource recruitment policy remained the major factor of improved employee performance of UBOS. en_US
dc.description.abstract This study was important because of the need to ensure transparent, unbiased, fair, and equitable employee recruitment and selection processes in the public sector in general and in the Uganda Bureau of Statistics (UBOS) in particular. en_US
dc.language.iso en en_US
dc.publisher Nkumba university press Entebbe. en_US
dc.relation.ispartofseries ;no. 187-189
dc.subject Human resource, en_US
dc.subject Recruitment policy, en_US
dc.subject Employee performance. en_US
dc.title Human resource recruitment policy and employee performance in the public sector en_US
dc.title.alternative A case study of the Uganda Bureau of Statistics en_US
dc.type Book chapter en_US


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