Aug 2026· Adolescência e Saúde· Vol 21, pp. 140-145· 0 citations
TL;DR
The need for phased AI integration, workforce upskilling, and robust data governance to unlock broader benefits, particularly in retention and efficiency is highlighted, highlighting the need for phased AI integration, workforce upskilling, and robust data governance to unlock broader benefits, particularly in retention and efficiency.
Abstract
This empirical study examines the role of artificial intelligence (AI) technologies in modernizing human resource management (HRM) practices within IT companies in Uttar Pradesh, India, focusing on their impact on the working environment and associated implementation challenges. Drawing from a descriptive-analytical research design, primary data were collected via structured Likert-scale questionnaires from 279 IT professionals and HR managers in key hubs like Noida and Lucknow, supplemented by secondary sources from academic journals. Descriptive statistics and one-sample t-tests reveal moderate AI adoption (mean AI usage level: 3.11), with neutral-to-slightly positive perceptions on enhancements to HR efficiency (mean: 2.97), bias reduction (mean: 2.99), employee experience (mean: 3.12), and work environment (mean: 2.94). AI demonstrates statistically significant contributions to talent retention (t=2.191, p=0.029, mean: 3.18), enabling proactive strategies through predictive analytics to mitigate high attrition risks prevalent in the region's emerging IT sector. Challenges such as data privacy concerns (mean: 3.05), fear of job displacement (mean: 3.00), and lack of AI skills (mean: 2.96) are perceived as moderate and non-significant barriers (p>0.05), indicating manageable hurdles rather than impediments to adoption. Findings align with prior literature, underscoring AI's potential to automate recruitment (e.g., ATS, chatbots), performance evaluation, and onboarding while elevating HR's strategic role amid talent competition and skill gaps in Uttar Pradesh. This research highlights the need for phased AI integration, workforce upskilling, and robust data governance to unlock broader benefits, particularly in retention and efficiency. Future studies should explore longitudinal effects and comparative analyses across Indian regions to inform policy and practice.
Background/ problem: Artificial intelligence (AI) is increasingly being utilized in human resource management (HRM), thereby transforming its practice. However, nuanced literature on its use in developing contexts remains limited.
Objective/ purpose: This exploratory study examined how human resources (HR) practitioner...
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