This paper examines the strategic role of innovative Human Resources Management systems in enhancing employee productivity across diverse organizational contexts. Underpinned by human capital theory, resource-based view, and social exchange theory, the study examines how technology-driven practices such as talent analytics, flexible work arrangements, performance management systems, employee engagement technologies, and continuous learning programs impact productivity outcomes. Through the synthesis of multiple theoretical perspectives and conceptual review, the study finds that organizations adopting innovative Human Resources Management systems report productivity gains of 10–20%, particularly in technology-driven sectors. Specific innovations such as AI-powered recruitment, e-learning platforms, and real-time performance tracking are linked to improvements in task efficiency, innovation output, and organizational citizenship behaviors'. However, adoption is hindered by high implementation costs, resistance to change, skill gaps, and infrastructural limitations, especially in developing economies. The paper recommends tailored innovations, digital literacy training, participatory change management, and cross-sector collaboration to overcome these barriers. These findings contribute to Human Resources Management and organizational behavior literature, offering practical insights for practitioners and policymakers aiming to optimize workforce performance and competitiveness. Keywords: Innovative Human Resources Management. Employee Productivity, Talent Analytics, Flexible Work Arrangements, Performance Management Systems, Employee Engagement Technologies.
Nnabuihe et al. (Sun,) studied this question.