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Publications

Publications

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  • All HBS Web  (34)
    • Faculty Publications  (4)

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    • All HBS Web  (34)
      • Faculty Publications  (4)

      by Ethan R. Mollick Remove by Ethan R. Mollick →

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      • 2025
      • Working Paper

      The Cybernetic Teammate: A Field Experiment on Generative AI Reshaping Teamwork and Expertise

      By: Fabrizio Dell'Acqua, Charles Ayoubi, Hila Lifshitz, Raffaella Sadun, Ethan Mollick, Lilach Mollick, Yi Han, Jeff Goldman, Hari Nair, Stew Taub and Karim R. Lakhani
      We examine how artificial intelligence transforms the core pillars of collaboration— performance, expertise sharing, and social engagement—through a pre-registered field experiment with 776 professionals at Procter & Gamble, a global consumer packaged goods company.... View Details
      Keywords: Artificial Intelligence; Teamwork; Human-machine Interaction; Productivity; Skills; Innovation; Field Experiment; AI and Machine Learning; Groups and Teams; Competency and Skills; Performance Productivity; Collaborative Innovation and Invention; Product Development
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      Dell'Acqua, Fabrizio, Charles Ayoubi, Hila Lifshitz, Raffaella Sadun, Ethan Mollick, Lilach Mollick, Yi Han, Jeff Goldman, Hari Nair, Stew Taub, and Karim R. Lakhani. "The Cybernetic Teammate: A Field Experiment on Generative AI Reshaping Teamwork and Expertise." Harvard Business School Working Paper, No. 25-043, March 2025.
      • 2023
      • Working Paper

      Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality

      By: Fabrizio Dell'Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon and Karim R. Lakhani
      The public release of Large Language Models (LLMs) has sparked tremendous interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of tasks. In our study conducted with Boston Consulting Group, a global management consulting firm, we examine... View Details
      Keywords: Large Language Model; AI and Machine Learning; Performance Efficiency; Performance Improvement
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      Dell'Acqua, Fabrizio, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon, and Karim R. Lakhani. "Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality." Harvard Business School Working Paper, No. 24-013, September 2023.
      • Article

      Wisdom or Madness? Comparing Crowds with Expert Evaluation in Funding the Arts

      By: Ethan Mollick and Ramana Nanda
      In fields as diverse as technology entrepreneurship and the arts, crowds of interested stakeholders are increasingly responsible for deciding which innovations to fund, a privilege that was previously reserved for a few experts, such as venture capitalists and... View Details
      Keywords: Crowdfunding; Arts; Decision Choices and Conditions; Entrepreneurship; Investment; Fine Arts Industry; Technology Industry
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      Mollick, Ethan, and Ramana Nanda. "Wisdom or Madness? Comparing Crowds with Expert Evaluation in Funding the Arts." Management Science 62, no. 6 (June 2016): 1533–1553.
      • 2015
      • Working Paper

      Wisdom or Madness? Comparing Crowds with Expert Evaluation in Funding the Arts

      By: Ethan Mollick and Ramana Nanda
      In fields as diverse as technology entrepreneurship and the arts, crowds of interested stakeholders are increasingly responsible for deciding which innovations to fund, a privilege that was previously reserved for a few experts, such as venture capitalists and... View Details
      Keywords: Arts; Decision Choices and Conditions; Philanthropy and Charitable Giving
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      Mollick, Ethan, and Ramana Nanda. "Wisdom or Madness? Comparing Crowds with Expert Evaluation in Funding the Arts." Harvard Business School Working Paper, No. 14-116, May 2014. (Revised January 2015, August 2015.)
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