Performance Evaluation and Staff Allocation in Organisation in Southwest Nigeria
Performance Evaluation and Staff Allocation in Organisation in Southwest Nigeria
Author(s): Kesiena Jennifer Esegine, Taofiq Olasunkanmi Yusuff, Samson Omoruyi Ugowe, Paschal Chigozie Ibegbulem, Chijioke Onuchukwu, Tosin Femi Gandonu, Kabiru Sola Oyebamiji, Gabriel Oladapo OlusolaSubject(s): Education, Business Economy / Management, Public Administration, Methodology and research technology, Human Resources in Economy, Socio-Economic Research
Published by: Altezoro, s. r. o. & Dialog
Keywords: Performance Evaluation; Staff Allocation; Key Performance Indicators; Human Resource Management; Organizational Efficiency;
Summary/Abstract: his study examined the relationship between performance evaluation practices and staff allocation in organisations within Southwest Nigeria, focusing on key sectors like banking, manufacturing, and government agencies across Lagos, Ogun, and Oyo States. The purpose was to investigate how performance reviews, key performance indicators (KPIs), and continuous performance management influence decisions about staff allocation. The researchers adopted a descriptive survey research design and selected a sample of 51 HR managers, supervisors, and personnel using stratified random sampling. The researchers collected data through structured questionnaires and analysed it using descriptive statistics and Pearson's correlation to determine relationships between variables. The findings revealed a significant positive correlation between effective performance evaluation methods and optimised staff allocation, with annual reviews (r = 0.451, p < 0.01), KPIs (r = 0.654, p < 0.01), and continuous performance management (r = 0.586, p < 0.01) all contributing to better task assignments and resource utilisation. The conclusion emphasised the importance of adopting comprehensive evaluation systems to enhance decision-making in staff allocation, ultimately improving organisational efficiency.
Journal: Traektoriâ Nauki
- Issue Year: 10/2024
- Issue No: 11
- Page Range: 2011-2020
- Page Count: 10
- Language: English
