Shweta Jha

Papers

Total Citations

H-Index

About

Shweta Jha is a leading voice in the intersection of artificial intelligence and human resource management, with a primary focus on transforming recruitment and selection processes. Her most cited work, "Leveraging Artificial Intelligence for Effective Recruitment and Selection Processes" (2020), has garnered 26 citations and stands as a foundational contribution to the field. In this research, Jha critically examines how AI-driven tools—from resume screening algorithms to predictive hiring models—can enhance efficiency, reduce bias, and improve candidate matching in organizational hiring. Her work not only identifies the operational benefits of automation but also addresses ethical considerations, such as algorithmic fairness and transparency, making her insights invaluable for both practitioners and scholars. Beyond this flagship paper, Jha’s broader research portfolio explores the strategic integration of technology in talent management, positioning her as a key thinker in the digital transformation of HR. Her contributions have influenced how modern organizations rethink recruitment, offering evidence-based frameworks that balance innovation with human-centered values. For students and researchers, Jha’s work provides a critical lens on the future of work, where AI serves as a tool for empowerment rather than displacement.