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AOM Presenter symposium "Machine Learning, Artificial Intelligence, and Strategy: Research on the Importance of Complements"

  • 1.  AOM Presenter symposium "Machine Learning, Artificial Intelligence, and Strategy: Research on the Importance of Complements"

    Posted 9 days ago

    Machine Learning, Artificial Intelligence, and Strategy: Research on the Importance of Complements

     

    Session type: Presenter symposium

    Format: Synchronous Live Open

     

    Scheduled: Sunday, August 1, 12:00pm-1:30pm EDT

     

    Program Session: 596

    Sponsors: OCIS, STR, TIM

     

    Link to the symposium: https://2021.aom.org/meetings/virtual/4K9yFLozs8hAxHNT3

     

    Artificial intelligence (AI) and machine learning (ML) represent general purpose technologies that are rapidly diffusing among businesses. These technologies have the potential to transform industries and to impact the performance of firms. They also present important challenges for managers. Firms investing in general purpose technologies like AI require complements to realize value from them and to align with unique firm needs. In this symposium we bring together four papers that examine various aspects of the diffusion of impact of AI and ML in businesses and how these are affected by the presence of complements at the individual, organizational, and ecosystem level. Together these papers will shed new light on the implications of managerial decisions related to this important set of technologies.

     

    Presentations and Authors

    • Barriers to Growth in Developing AI (James Bessen (Boston University), Stephen Michael Impink (NYU), Lydia Reichensperger (Boston University), and Robert Seamans (NYU))
    • Algorithm-Augmented Work Performance and Domain Experience: The Countervailing Forces of Ability and Aversion (Ryan Allen (Harvard University) and Prithwiraj Choudhury (Harvard University))
    • The Power of Prediction: Predictive Analytics and Heterogeneous Firm Performance (Erik Brynjolfsson (Stanford University), Wang Jin (MIT), and Kristina McElheran (University of Toronto))
    • How does labor mobility affect business adoption of a GPT? The case of machine learning (Ruyu Chen (Cornell University), Natarajan Balasubramanian (Syracuse University), and Chris Forman (Cornell University)

     

    Discussant

     

    Aija Leiponen, Cornell University

     

    Organizers

     

    • Natarajan Balasubramanian, Syracuse University
    • Chris Forman, Cornell University

     



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    Chris Forman
    Cornell University

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