Data

Franco Australian Project

Central Queensland University
Prikshat Verma (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25946/32293683.v1&rft.title=Franco Australian Project&rft.identifier=10.25946/32293683.v1&rft.publisher=Central Queensland University&rft.description=This project examines the role of generative artificial intelligence in shaping healthcare workforce well-being across Australia and France. Using a mixed-methods approach, the study explores how AI-integrated human resource practices influence the mental, physical, and operational well-being of healthcare professionals. The research aims to develop and validate a conceptual framework that informs sustainable, ethical, and technology-enabled workforce strategies in healthcare systems.&rft.creator=Prikshat Verma&rft.date=2026&rft_rights= https://www.gnu.org/licenses/gpl-2.0.html&rft_subject=Strategy, management and organisational behaviour not elsewhere classified&rft_subject=Human resources management&rft_subject=Generative AI&rft_subject=healthcare workforce&rft_subject=employee well-being&rft_subject=human resource management&rft_subject=digital transformation&rft_subject=future of work&rft_subject=cross-national research&rft.type=dataset&rft.language=English Access the data

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This project examines the role of generative artificial intelligence in shaping healthcare workforce well-being across Australia and France. Using a mixed-methods approach, the study explores how AI-integrated human resource practices influence the mental, physical, and operational well-being of healthcare professionals. The research aims to develop and validate a conceptual framework that informs sustainable, ethical, and technology-enabled workforce strategies in healthcare systems.

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Identifiers
ACN 633 798 857