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Harnessing Large Language Models (LLMs) for Management Research

  • 1.  Harnessing Large Language Models (LLMs) for Management Research

    Posted 10 days ago

    Dear colleagues:

    We are thrilled to announce the "Harnessing Large Language Models (LLMs) for Management Research" PDW at the upcoming AOM Meeting in Chicago this August. This workshop is sponsored by the Strategic Management (STR), Technology and Innovation Management (TIM), and Organization and Management Theory (OMT) divisions, welcoming management scholars with different interests.

    The recent advent of LLMs has drawn tremendous academic interest. While recent explorations tried to elucidate LLM's interactions with humans, our PDW's perspective extends beyond this-we contend that LLMs can serve not only as subjects of examination but also as powerful research tools, substantially benefiting management scholars in two fundamental ways: 1) amplifying research productivity and 2) opening new theoretical insights. In addition, the PDW will showcase various opportunities and potential pitfalls of using LLMs within research.

    The PDW will consist of two parts, each lasting about 90 minutes: A) First, five scholars will show how they rely on LLMs as research tools and discuss the challenges. This section is open to all.

    The panelists include:

            Mario Amore of HEC, Paris

            Navid Asgari of Fordham University & IBM Thomas Watson Research Center

            Shinjinee Chattopadhyay of the University of Illinois Urbana-Champaign

            Amir Goldberg of Stanford University

            Balázs Kovács of Yale University

    B) In the second half, which requires registration and submission of a research synopsis (up to two pages) OR a complete manuscript, the attendees will be divided into groups, each led by a scholar, to discuss their ideas with the other members and receive feedback.

    Our hope is that the PDW will provide an inclusive environment for idea sharing, networking, and further collaboration. The exact date and time of the PDW are yet to be determined by AOM.

    If you are interested in the second half of the PDW (i.e., research round tables), please register by June 30, 2024, using the following link: https://sites.google.com/view/llmpdw/home. Since the number of available spaces will be limited, submissions will be evaluated based on their quality and relevance to the workshop theme.

    Please contact the PDW organizers at LLM.PDW.AOM2024@gmail.com if you have any questions.

    Organizers:        

    Navid Asgari (Fordham University & IBM Thomas Watson Research Center)

    Deepak Nayak (Ohio State University)

    Harsh Ketkar (Bocconi University)

    Round-table discussants:

    Mario Amore (HEC Paris)

    Shinjinee Chattopadhyay (University of Illinois Urbana-Champaign)

    Amir Goldberg (Stanford University)

    Ralph Heidl (University of Oregon)

    Harsh Ketkar (Bocconi University)

    Balazs Kovács (Yale University)

    Deepak Nayak (Ohio State University)

    Ehsan Valavi (MIT)

    Best regards,

    Navid, Deepak, and Harsh