Avnish Sharma

Papers

Total Citations

H-Index

About

Avnish Sharma is a forward-thinking researcher at the intersection of artificial intelligence and human resource management, with a primary focus on the strategic integration of AI into HRM processes. His most-cited work, "Factorization of AI Application in HRM" (2022), which has garnered 7 citations, provides a foundational framework for understanding how AI technologies can be decomposed and systematically applied to enhance recruitment, performance evaluation, and employee engagement. This contribution is particularly notable for its practical approach, offering organizations a clear pathway to leverage AI for data-driven decision-making while addressing ethical considerations. Sharma’s research stands out for its early and insightful exploration of AI’s role in transforming traditional HR functions, making him a key voice in the emerging field of AI-augmented human resources. His work not only advances academic discourse but also offers actionable insights for practitioners, positioning him as a bridge between cutting-edge technology and real-world HR challenges.