Human resource analytics and employee outcomes: challenges for human resource managers at De united foods industries limited (DUFIL)
Year: 2025
Type: article
Study design: Observational Study
Abstract: Despite the growth and adoption of human resource (HR) analytics, it remains unknown whetherHR analytics can impact employee outcomes. As such, this study aims to address this important issue by examiningthe impact of Human Resource Analytics (HRA) on employee job satisfaction, engagement and performance at DeUnited Foods Industries Limited (DUFIL) among others. Using data collected from 135 members of DUFIL,Pearson’s product Moment Correlation and multiple regression were employed in testing the hypotheses. The studyfound that Human Resource Analytics (HRA) positively impacts job satisfaction, engagement, and performance atDUFIL, enhancing HR's ability to address employee needs. However, challenges exist in data quality, analyticalskills, and ethical concerns—specifically around privacy and fairness—which impact trust and the effectiveness ofHRA initiatives. The study recommended that to optimise HRA’s impact, DUFIL should invest in data managementsystems, enhance HR analytical skills through training, and establish ethical guidelines to ensure transparency andemployee trust in data-driven HR practices.
Authors: Abiodun Lateef Animashaun, Foluso Ilesanmi Jayeoba, Mariam Enitan Lawrence
Language: English
Topic: AI and HR Technologies
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4408253343