Mehran Shahhosseini
Papers
1
Total Citations
10
H-Index
1
About
Mehran Shahhosseini’s research sits at the critical intersection of artificial intelligence, workforce development, and sociotechnical systems, exploring how emerging technologies reshape human skills and organizational dynamics. His most-cited work, “Machine learning and AI technology-induced skill gaps and opportunities for continuous development of middle-skilled employees” (2024, 10 citations), applies sociotechnical systems theory to examine human–technology interactions in the future of work. This study identifies the skill gaps created by ML and AI adoption among middle-skilled employees and proposes pathways for continuous development to support career sustainability. Shahhosseini’s contributions are particularly timely, addressing the pressing challenge of workforce adaptation in an era of rapid automation. His work offers practical insights for organizations seeking to balance technological integration with employee growth, emphasizing the need for proactive upskilling strategies. By bridging theoretical frameworks with real-world workforce challenges, Shahhosseini provides a roadmap for ensuring that technological progress does not leave middle-skilled workers behind. His research is essential reading for scholars and practitioners interested in the human side of AI transformation, career sustainability, and the evolving nature of work in the 21st century.
Research Focus
Key Achievements
Top Papers
- 1