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SMS Paris: Opportunities and Advances in Machine Learning in the Context of Strategic Management

  • 1.  SMS Paris: Opportunities and Advances in Machine Learning in the Context of Strategic Management

    Posted 09-17-2018 14:16
    Dear Colleagues,

    We would like to invite you to a panel session, "Latest and Greatest in Empirical Methods: Opportunities and Advances in Machine Learning in the Context of Strategic Management". This session will be held on Sunday, September 23rd, 11:15 - 12:30h in the room "Auditorium". https://www.strategicmanagement.net/paris/tools/session-details?sessionId=940

    Machine learning techniques have made a significant impact on many fields from engineering to medicine. While the interest in machine learning is growing in the strategic management field, we still lag behind other fields in terms of its adoption. This session will bring together researchers who are at the cutting edge of applying machine learning methods to the questions relevant to strategy scholars. The discussions will include topics such as using machine learning to build theory in strategic management through algorithmic induction (the benefits of machine learning are in the ability to cleanly separate between pattern detection and pattern explanation), topic modeling (allowing for the discovery of hidden semantic structures in text) and statistical model selection (which helps to narrow down the set of relevant controls if the potential space of variables is large). The discussions will include concrete examples that will illustrate the applicability of the machine learning methods.

    Session Chair:

    Martin Ganco, University of Wisconsin-Madison

    Panelists:

    Phanish Puranam, INSEAD
    Keyvan Vakili, London Business School
    Bart Vanneste, University College London

    See you in Paris!

    Martin