Srirang Jha
Papers
1
Total Citations
26
H-Index
1
About
Srirang Jha is a prominent researcher at the intersection of human resource management and emerging technologies, with a particular focus on artificial intelligence in recruitment and selection. His most-cited work, "Leveraging Artificial Intelligence for Effective Recruitment and Selection Processes" (2020), has garnered 26 citations, establishing him as a key voice in the digital transformation of HR practices. Jha’s research critically examines how AI tools—from resume screening algorithms to predictive analytics—can enhance efficiency, reduce bias, and improve candidate matching in hiring processes. Beyond this flagship paper, his broader contributions explore the ethical implications and practical challenges of integrating AI into organizational decision-making. Jha’s work is widely referenced by scholars and practitioners seeking to understand the balance between technological innovation and human judgment in talent acquisition. His insights have been instrumental in shaping contemporary debates on fair and effective AI-driven recruitment, making his research essential reading for students and professionals navigating the future of work.
Research Focus
Key Achievements
Top Papers
- 1