معرفی
Dr. Chiara Benassi is a Lecturer in Human Resource Management at King's Business School, King's College London. She holds a PhD from the London School of Economics (2014), a Master's from Free University/Humboldt University Berlin, and a BA from the University of Bologna. Previously, she was a Postdoctoral Fellow at the Max-Planck Institute for the Study of Societies and a Lecturer at Royal Holloway, University of London. Her research focuses on comparative human resource management, exploring how institutions and economic conditions shape HR strategies in areas like flexibility, training, and knowledge management. She has received grants from ESRC and the Hans Boeckler Foundation, leading projects such as the 'Managing human capital in different institutional contexts' study. Her work appears in journals like Organization Studies and British Journal of Industrial Relations.
Education:
- PhD in Employment Relations and Organisational Behaviour, London School of Economics (2014)
- Masters in International Relations, Free University/Humboldt University Berlin
- BA in Development and Cooperation, University of Bologna
Research Interests: Comparative HRM, political economy, workplace flexibility, vocational training, collective bargaining, knowledge management, and labor market segmentation. Her recent work examines lean management systems across nations and robotic process automation's impact on jobs.
Grants & Awards:
- Principal Investigator: ESRC-funded project (2016-2018) on automotive industry HR strategies
- ESRC Future Research Leader Fellowship (2016-2018)
- Fellow of the Higher Education Academy
Projects: Ongoing studies include the political economy of growth models, automation in knowledge-intensive services, and AI's role in occupations. She also investigates unions' responses to precarious work and externalization challenges.
Collaborations: Active in international research networks, with projects comparing Germany, Italy, and the UK. Her work contributes to UN SDGs related to decent work (SDG 8) and reduced inequalities (SDG 10).
