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Dr Cristina Trocin

Lecturer in Digital Business

Dr Cristina Trocin

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Cristina is a high-achieving early career scholar with successful international, inter-disciplinary collaboration. She is doing research at the intersection of technology, work, and digital innovation. Currently, her research projects include the development of Artificial Intelligence (AI) technology in healthcare organisations, Human Resource Management (HRM) and how this is changing the nature of work. She is the treasurer of the CTO division at the Academy of Management.

  • Post-doctoral researcher - Norwegian University of Science and Technology (NTNU) where she investigated the development phase of algorithms to support doctors with the analysis of medical images for disease diagnosis
  • PhD in Management from Ca' Foscari University of Venice, Italy -She performed research on EHR implementation in healthcare organisations and on the mechanisms through which the consequences emerged
  • Visiting PhD student at American University - Kogod Business School

    • She and Prof. Lee prepared research papers about EHR implementation and presented the findings in leading conferences in the field of technology and organization such as Academy of Management (AoM), International Conference on Information Systems (ICIS), European Group for Organizational Scholars (EGOS).

      Her curiosity to understand medical work practices has been emphasized while participating in specialized workshops at international conferences. In particular, she was intrigued by the role of Artificial Intelligence (AI) in healthcare organizations in relation to decision-making processes and knowledge creation. Prior studies highlighted that although AI can be leveraged to support evidence-based decision making, its implementation poses many challenges concerning the nature of medical work since health professions tend to utilize a plethora of advanced technologies that shape work content, process, and organizational structures. She believes the current challenge is to understand how to develop Human-AI Hybrids collaborations in healthcare organizations.

      Research interests

      • Digital healthcare
      • Artificial Intelligence (AI)
      • Affordance Actualisation
      • Qualitative Research Methods
      • Case Studies
      • Digital Innovation