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AMR Origins - Episode 32 - Leiblein, Chen & Posen - "Uncertain Learning Curves: Implications for First Mover Advantage and Knowledge Spillovers."

  • 1.  AMR Origins - Episode 32 - Leiblein, Chen & Posen - "Uncertain Learning Curves: Implications for First Mover Advantage and Knowledge Spillovers."

    Posted 8 days ago
    Hi All 

    The first AMR Origins episode of 2023 is out. 

    Episode 32 is a discussion with Michael Leiblein, John Chen & Hart Posen about the development of their AMR article entitled: "Uncertain Learning Curves: Implications for First Mover Advantage and Knowledge Spillovers." We had a lively, informative discussion about the story behind this insightful article that has just been published in AMR.

    In this episode you will learn about: 
    • Building new theoretical insights with long-standing, foundational ideas in a domain as a starting point (e.g., learning curves and first mover advantages in this case) 
    • Practices and processes for developing a conceptual paper using formal modeling
    • Collaborating effectively as a co-author team and having fun while doing so  
    You can watch the video version of the episode here: https://youtu.be/Mv3Jmo-eMsI
    You can listen to the audio version here: https://spotifyanchor-web.app.link/e/aV0nzkEEwwb (or on your favorite podcast platform - search for AMR Origins Series). 

    We have had valuable, positive feedback from senior scholars who have used AMR Origins Series episodes as part of their doctoral seminars. If you have not tried this, it is worth exploring how you can use these interviews and discussions as a learning tool in your seminars. We have also had positive feedback from junior scholars who have used AMR Origins Series episodes as a means to better understand the intricacies of these theorizing process. Please look over the full playlist of episodes to find episodes that might help you develop your theorizing skills and insights in 2023. The updated playlist can be found here: https://www.youtube.com/playlist?list=PLU-uzN0D6ikzF_jVkqlguxJ1UZgnGsiXh  
      
    All the best, 
    Greg