𝗛𝗼𝘄 𝗱𝗼 𝘄𝗲 𝗺𝗮𝗻𝗮𝗴𝗲, 𝗴𝗼𝘃𝗲𝗿𝗻, 𝗮𝗻𝗱 𝗯𝘂𝗶𝗹𝗱 𝘁𝗿𝘂𝘀𝘁 𝗶𝗻 𝗔𝗜-𝗲𝗻𝗮𝗯𝗹𝗲𝗱 𝗵𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲?
We warmly invite scholars interested in AI, digital health, healthcare innovation, strategy, entrepreneurship, and organization studies to join the conversation at the Academy of Management 2026 for our Professional Development Workshop, organized by Ahmed Zahlan, Pek Hooi Soh, and Shivaang Sharma.
𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗮𝗻𝗱 𝗔𝗜-𝗘𝗻𝗮𝗯𝗹𝗲𝗱 𝗛𝗲𝗮𝗹𝘁𝗵 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻
This PDW brings together scholars interested in understanding how organizations can design, govern, and deploy AI technologies responsibly while advancing both efficiency and equity in healthcare systems.
📢 𝗖𝗮𝗹𝗹 𝗳𝗼𝗿 𝗔𝗯𝘀𝘁𝗿𝗮𝗰𝘁𝘀
We invite PhD students and early-career researchers to submit their work for interactive mentoring roundtables and receive personalized feedback from leading scholars in strategy, innovation, entrepreneurship, and healthcare management.
👥 Mentors include:
• Tarun Khanna (Harvard Business School)
• Stephen Michael Impink (HEC Paris)
• Phillip Phan (Johns Hopkins University)
• Farnam Mohebi, MD, MPH (UC Berkeley Haas School of Business)
• Navid Asgari (Fordham University)
• Pek Hooi Soh (Simon Fraser University)
• Shivaang Sharma (University College London)
Selected participants will receive tailored feedback on research questions, theoretical contributions, positioning within core management debates, research design and methodology.
📚 Topics of interest include:
• AI and professional work in healthcare
• Trust, legitimacy, and governance of algorithmic systems
• Responsible AI and healthcare regulation
• Sociotechnical systems and organizing around AI
• Healthcare entrepreneurship and digital health startups
• Organizational change and transformation through AI
• Strategy and organization theory perspectives on emerging technologies
📝 Submission Guidelines: Submit an abstract (maximum 1,000 words) including the research question, theoretical framing, data and methodology, and expected contribution.
📅 Submission Deadline: June 25, 2026
🔗 Submission Form: https://lnkd.in/etbBPj5D
👥 Format: Small-group mentoring roundtables (maximum 4 participants per mentor)
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Ahmed Zahlan
University College London
London
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