Veritatis Gaudium: Multidisciplinary Journal of Postgraduate Studies

This study examined whether big data analytics mediates the relationships between human resource management practices and employee performance in Access Bank Plc branches in Abuja, Nigeria. Recruitment and selection, compensation, and training and development were modeled as the human-resource practices, while big data analytics served as the mediator. A quantitative cross-sectional survey was conducted among employees drawn from six Abuja branch locations. From an estimated population of 350 employees, 187 questionnaires were distributed through proportionate stratified random sampling and 172 usable responses were returned, representing a 91.9% response rate. Confirmatory factor analysis supported the five-construct measurement model: standardized loadings ranged from .84 to .94, average variance extracted ranged from .744 to .815, composite reliability ranged from .897 to .930, and Cronbach's alpha ranged from .862 to .903. Pearson correlations and Hayes PROCESS Model 4 with 5,000 bootstrap samples were used for hypothesis testing. Recruitment and selection had a significant indirect effect on performance through big data analytics (effect = .0787, 95% bootstrap CI [.0090, .1768]) but a nonsignificant direct effect, indicating indirect-only mediation. Compensation had no significant indirect effect (effect = −.0300, 95% CI [−.0776, .0015]). Training and development had significant direct and indirect effects (indirect effect = .0552, 95% CI [.0065, .1337]), indicating partial mediation. Big data analytics positively predicted employee performance (β = .2328, p = .0020). The findings show that analytics capability converts selected HR practices—especially recruitment and employee development—into stronger performance, but does not automatically make compensation effective. The study recommends integrating HR and performance data, strengthening data literacy, using analytically informed recruitment, and aligning compensation with transparent performance evidence.

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