Human Resource Management Practices as Predictors of Business Educationists’ Perceived Contextual Performance in Edo and Delta States
DOI:
https://doi.org/10.37134/ibej/Vol.16.1.1.2023Keywords:
Training and development, recruitment and selection, reward, human resource management practices, contextual performanceAbstract
The study was on human resource management practices as predictors of business educationists’ perceived contextual performance in Edo and Delta States. The major goal of this study was to determine how well human resource management strategies predict the contextual performance of business educators in the states of Edo and Delta. To direct the study, five research questions were posed and addressed. Four hypotheses were developed and evaluated at the significance level of 0.05. A correlational survey research design was used for the investigation. The total number of business educators in Edo and Delta States' institutions of education—128 business educators—constituted the study's population. The instrument used was a questionnaire entitled ‘Human Resource Management Practices and Contextual Performance Questionnaire (HRMPCPQ).’ The instrument was validated by two experts. A pilot study involving 19 business educators in Kogi State was conducted and the reliability of the instrument was determined using the Cronbach alpha, which produced a reliability coefficient of .86. Regression analysis and the Pearson product moment correlation coefficient were used to examine the information gathered from the respondents. Based on a survey on 109 business educationists, the results showed that recruitment and selection is a significant predictor of business educationists’ perceived contextual performance (R2 = .155, F (1, 107) = 19.574, P <. 05). The findings also revealed that human resource management practices are significant predictors of business educationists’ perceived contextual performance (R2 = .216, F (3, 105) = 9.647, P < .05). Accordingly, education institutes are encouraged to keep establishing the necessary environment that will support contextual performance in light of the findings.
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