Zaheer Khan

Papers

Total Citations

319

H-Index

About

Zaheer Khan is a leading scholar at the intersection of artificial intelligence, human resource management, and international business. His research critically examines how emerging technologies reshape workplace dynamics, with a particular focus on the challenges and strategies surrounding AI–human worker collaboration at the team level. His highly cited 2021 paper, “Artificial intelligence and human workers interaction at team level: a conceptual assessment of the challenges and potential HRM strategies,” has garnered over 317 citations, establishing a foundational framework for understanding the HRM implications of human–robot teams. Khan’s work provides actionable insights for organizations navigating the integration of AI into their workforce, highlighting the need for new managerial approaches and skill development. He also explores the broader effects of digital transformation on global business operations, contributing to the discourse on how firms adapt to technological disruption across borders. Through his conceptual rigor and practical relevance, Khan has become a key voice in the conversation on the future of work, influencing both academic research and corporate strategy in an era of rapid technological change.