Artificial Intelligence and Digital Human Resource Management: Empirical Evidence from ICT Adoption

Abstract

The rapid advancement of artificial intelligence (AI) and Information and Communication Technology (ICT) has fundamentally transformed organizational operations, particularly within Human Resource Management (HRM). As organizations increasingly adopt digital and AI-enabled systems, understanding their impact on HRM efficiency has become critical. This study empirically examines the relationship between AI-enabled ICT adoption and HRM  efficiency across multiple industries. Data were collected from 200 HR professionals using structured survey instruments to capture the extent of digital and AI-driven technology use in HR functions. The study evaluates the influence of these technologies on key HR processes, including recruitment and selection, performance evaluation, employee engagement, administrative efficiency, workforce management, and decision-making accuracy.Using descriptive statistics, correlation analysis, and multiple regression techniques, the findings reveal a significant positive relationship between AI-enabled ICT adoption and HRM efficiency outcomes. Organizations with higher levels of digital and AI integration reported reduced recruitment timelines, lower cost-per-hire, improved employee satisfaction, enhanced administrative efficiency, and greater accuracy in HR-related decisions. The results further indicate that AI-supported analytics and automation tools contribute substantially to HR productivity and data-driven decision-making. However, the study also identifies challenges related to initial investment costs, digital literacy gaps, and technology integration, particularly for smaller organizations.This research contributes to the digital HRM and AI literature by providing empirical evidence on the strategic role of AI-integrated ICT systems in improving HR efficiency. By grounding the analysis in established theoretical frameworks such as the Technology Acceptance Model and Resource-Based View, the study enhances theoretical understanding while offering practical implications. The findings emphasize the need for sustained investment in digital infrastructure, AI capabilities, and continuous skill development to ensure effective and responsible adoption of AI-driven HR technologies.