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      • Faculty Publications  (175)

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      • April 2025
      • Case

      Joe Mazzulla and the Boston Celtics (A)

      By: Linda A. Hill, James I. Cash and Lydia Begag
      Joe Mazzulla's leadership journey with the Boston Celtics began in 2016 when he served as an assistant coach for their NBA G-League affiliate. In 2019, he was promoted to a "behind-the-bench" assistant coaching role with the Celtics, before being asked to become the... View Details
      Keywords: Personal Development and Career; Change Management; Communication; Values and Beliefs; Innovation and Invention; Decision Making; Innovation Leadership; Collaborative Innovation and Invention; Leadership; Leading Change; Leadership Development; Leadership Style; Crisis Management; Management Skills; Business Processes; Organizational Culture; Organizational Structure; Performance Efficiency; Sports Industry; Entertainment and Recreation Industry; United States
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      Hill, Linda A., James I. Cash, and Lydia Begag. "Joe Mazzulla and the Boston Celtics (A)." Harvard Business School Case 425-059, April 2025.
      • April 2025
      • Case

      Giving Up on a Passion: Elizabeth Rowe at the Boston Symphony Orchestra

      By: Jon M. Jachimowicz, Maisie Wiltshire-Gordon and Alexis Lefort
      For 20 years, Elizabeth Rowe was a world-renowned principal flutist with the Boston Symphony Orchestra. But in 2024, Rowe decided to leave her position to pursue a new full-time career as a leadership coach. At 50, Rowe was well under the typical retirement age, and,... View Details
      Keywords: Arts; Small Business; Social Media; Cost vs Benefits; Decision Choices and Conditions; Decisions; Learning; Music Entertainment; Values and Beliefs; Creativity; Happiness; Identity; Interests; Satisfaction; Motivation and Incentives; Prejudice and Bias; Reputation; Culture; Resignation and Termination; Personal Development and Career; Consulting Industry; Fine Arts Industry; Music Industry; United States
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      Jachimowicz, Jon M., Maisie Wiltshire-Gordon, and Alexis Lefort. "Giving Up on a Passion: Elizabeth Rowe at the Boston Symphony Orchestra." Harvard Business School Case 425-037, April 2025.
      • April 2025 (Revised April 2025)
      • Case

      JPMorganChase: Leadership in the Age of GenAI

      By: Iavor I. Bojinov, Karim R. Lakhani and David Lane
      Keywords: Banks and Banking; Governance Controls; Information Technology; AI and Machine Learning; Analytics and Data Science; Cybersecurity; Digital Platforms; Digital Transformation; Information Management; Information Infrastructure; Technology Adoption; Job Cuts and Outsourcing; Knowledge Management; Knowledge Sharing; Leading Change; Growth and Development Strategy; Marketing; Product Development; Performance Improvement; Customization and Personalization; Financial Services Industry; United States
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      Bojinov, Iavor I., Karim R. Lakhani, and David Lane. "JPMorganChase: Leadership in the Age of GenAI." Harvard Business School Case 325-066, April 2025. (Revised April 2025.)
      • April 2025
      • Case

      Breezm: Innovative 3D-Printed Eyewear (A)

      By: Juan Alcácer, Brian Mao Fu and Adina Wong
      In 2023, Breezm, a South Korean startup, faced a strategic decision about how to grow its innovative 3D-printed, custom-fit eyewear business. Co-founded in 2017 by Zenma Park and Wooseok Sung, Breezm combined facial scanning, AI, and in-house production to solve the... View Details
      Keywords: 3D Printing; Eyeyewear; Growth; Business Startups; AI and Machine Learning; Technological Innovation; Growth and Development Strategy; Risk and Uncertainty; Expansion; South Korea
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      Alcácer, Juan, Brian Mao Fu, and Adina Wong. "Breezm: Innovative 3D-Printed Eyewear (A)." Harvard Business School Case 725-376, April 2025.
      • March 10, 2025
      • Article

      How Gen AI Could Change the Value of Expertise

      By: Joseph Fuller, Matt Sigelman and Michael Fenlon
      In the near future, gen AI is likely to affect some 50 million jobs, automating away elements of some jobs and augmenting workers’ abilities in others. The extent of those changes will compel companies to reshape their organizational structures and rethink their talent... View Details
      Keywords: AI and Machine Learning; Job Cuts and Outsourcing; Organizational Structure; Talent and Talent Management; Personal Development and Career
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      Fuller, Joseph, Matt Sigelman, and Michael Fenlon. "How Gen AI Could Change the Value of Expertise." Harvard Business Review (website) (March 10, 2025).
      • 2025
      • Working Paper

      Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning

      By: Liangzong Ma, Ta-Wei Huang, Eva Ascarza and Ayelet Israeli
      Reinforcement learning (RL) offers potential for optimizing sequences of customer interactions by modeling the relationships between customer states, company actions, and long-term value. However, its practical implementation often faces significant challenges.... View Details
      Keywords: Dynamic Policy; Deep Reinforcement Learning; Representation Learning; Dynamic Difficulty Adjustment; Latent Variable Models; Customer Relationship Management; Customer Value and Value Chain; Foreign Direct Investment; Analytics and Data Science
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      Ma, Liangzong, Ta-Wei Huang, Eva Ascarza, and Ayelet Israeli. "Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning." Harvard Business School Working Paper, No. 25-037, February 2025.
      • 2025
      • Book

      Talk: The Science of Conversation and the Art of Being Ourselves

      By: Alison Wood Brooks
      We all struggle with difficult conversations, but we're often not very good at easy ones either. Though we do it all the time, conversation is one of the most complex, demanding, and delicate of all human tasks, rife with possibilities for misinterpretation and... View Details
      Keywords: Interpersonal Communication
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      Brooks, Alison Wood. Talk: The Science of Conversation and the Art of Being Ourselves. Crown, 2025.
      • January–February 2025
      • Article

      Want Your Company to Get Better at Experimentation?: Learn Fast by Democratizing Testing

      By: Iavor Bojinov, David Holtz, Ramesh Johari, Sven Schmit and Martin Tingley
      For years, online experimentation has fueled the innovations of leading tech companies, enabling them to rapidly test and refine new ideas, optimize product features, personalize user experiences, and maintain a competitive edge. The widespread availability and lower... View Details
      Keywords: Technological Innovation; AI and Machine Learning; Analytics and Data Science; Product Development; Competitive Advantage
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      Bojinov, Iavor, David Holtz, Ramesh Johari, Sven Schmit, and Martin Tingley. "Want Your Company to Get Better at Experimentation? Learn Fast by Democratizing Testing." Harvard Business Review 103, no. 1 (January–February 2025): 96–103.
      • January–February 2025
      • Article

      Why People Resist Embracing AI

      By: Julian De Freitas
      The success of AI depends not only on its capabilities, which are becoming more advanced each day, but on people’s willingness to harness them. Unfortunately, many people view AI negatively, fearing it will cause job losses, increase the likelihood that their personal... View Details
      Keywords: AI and Machine Learning; Technology Adoption; Perception
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      De Freitas, Julian. "Why People Resist Embracing AI." Harvard Business Review 103, no. 1 (January–February 2025): 52–56.
      • 2024
      • Book

      Retiring: Creating a Life That Works for You

      By: Teresa M. Amabile, Lotte Bailyn, Marcy Crary, Douglas T. Hall and Kathy E. Kram
      Retirement, as a major life transition, can be both thrilling and challenging in unexpected ways. Written by acclaimed authors in the fields of business leadership, careers, and work, this book goes beyond the typical financial and health-related advice on retirement,... View Details
      Keywords: Retirement
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      Amabile, Teresa M., Lotte Bailyn, Marcy Crary, Douglas T. Hall, and Kathy E. Kram. Retiring: Creating a Life That Works for You. Routledge, 2024.
      • September 2024
      • Background Note

      Copyright and Fair Use

      By: David B. Yoffie
      The U.S. Copyright Office defines a copyright as “a type of intellectual property that protects original works of authorship as soon as an author fixes the work in a tangible form of expression.” Two core principles of copyright are originality and fixation. A work is... View Details
      Keywords: AI and Machine Learning; Copyright; Lawsuits and Litigation; United States
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      Yoffie, David B. "Copyright and Fair Use." Harvard Business School Background Note 725-394, September 2024.
      • August 2024
      • Background Note

      Your True Moral Compass

      By: Joseph L. Badaracco
      This note explores the concept of a "moral compass" for making difficult decisions in leadership roles. It argues that the standard view of a moral compass as a simple, internal guide is inadequate for complex situations. Instead, it proposes that our true moral... View Details
      Keywords: Moral Sensibility; Decision Choices and Conditions
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      Badaracco, Joseph L. "Your True Moral Compass." Harvard Business School Background Note 325-034, August 2024.
      • August 13, 2024
      • Editorial

      Can AI Save Physicians from Burnout?

      By: Susanna Gallani, Lidia Moura and Katie Sonnefeldt
      Keywords: Well-being; AI and Machine Learning; Work-Life Balance; Health Industry
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      Gallani, Susanna, Lidia Moura, and Katie Sonnefeldt. "Can AI Save Physicians from Burnout?" Harvard Business School Working Knowledge (August 13, 2024).
      • 2024
      • Working Paper

      The Narrative AI Advantage? A Field Experiment on Generative AI-Augmented Evaluations of Early-Stage Innovations

      By: Jacqueline N. Lane, Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh and Pei-Hsin Wang
      The rise of generative artificial intelligence (AI) is transforming creative problem-solving, necessitating new approaches for evaluating innovative solutions. This study explores how human-AI collaboration can enhance early-stage evaluations, focusing on the interplay... View Details
      Keywords: Large Language Models; AI and Machine Learning; Innovation and Invention; Decision Making
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      Lane, Jacqueline N., Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh, and Pei-Hsin Wang. "The Narrative AI Advantage? A Field Experiment on Generative AI-Augmented Evaluations of Early-Stage Innovations." Harvard Business School Working Paper, No. 25-001, August 2024. (Revised August 2024.)
      • 2024
      • Article

      Crucibles, Multiple Sensitive Periods, and Career Progression

      By: Prithwiraj Choudhury, Sunasir Dutta, Hise O. Gibson and Eric Lin
      We study the effects of crucible experiences along multiple sensitive periods on career progression. While prior literature has hinted that individuals can be imprinted during multiple sensitive periods, not just during the early career, there has been scant attention... View Details
      Keywords: Military Service; Personal Development and Career; Transformation; Power and Influence; Learning; Human Capital
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      Choudhury, Prithwiraj, Sunasir Dutta, Hise O. Gibson, and Eric Lin. "Crucibles, Multiple Sensitive Periods, and Career Progression." Academy of Management Proceedings (2024).
      • July 2024
      • Article

      How Artificial Intelligence Constrains Human Experience

      By: A. Valenzuela, S. Puntoni, D. Hoffman, N. Castelo, J. De Freitas, B. Dietvorst, C. Hildebrand, Y.E. Huh, R. Meyer, M. Sweeney, S. Talaifar, G. Tomaino and K. Wertenbroch
      Many consumption decisions and experiences are digitally mediated. As a consequence, consumer behavior is increasingly the joint product of human psychology and ubiquitous algorithms (Braun et al. 2024; cf. Melumad et al. 2020). The coming of age of Large Language... View Details
      Keywords: Large Language Model; User Experience; AI and Machine Learning; Consumer Behavior; Technology Adoption; Risk and Uncertainty; Cost vs Benefits
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      Valenzuela, A., S. Puntoni, D. Hoffman, N. Castelo, J. De Freitas, B. Dietvorst, C. Hildebrand, Y.E. Huh, R. Meyer, M. Sweeney, S. Talaifar, G. Tomaino, and K. Wertenbroch. "How Artificial Intelligence Constrains Human Experience." Journal of the Association for Consumer Research 9, no. 3 (July 2024): 241–256.
      • June 2024 (Revised September 2024)
      • Case

      Driving Scale with Otto

      By: Rebecca Karp, David Allen and Annelena Lobb
      This case asks how startup founders make scaling decisions in light of their priorities for their business and for themselves. Otto was a technology company that applied artificial intelligence technology to sales. It deployed natural language processing to find sales... View Details
      Keywords: Artificial Intelligence; Natural Language Processing; B2B; B2B Innovation; Scaling; Scaling Tech Ventures; Business Startups; AI and Machine Learning; Finance; Sales; Business Strategy; Growth and Development Strategy; Entrepreneurship; Information Technology Industry; United States; Cambridge; New York (city, NY); Spain
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      Karp, Rebecca, David Allen, and Annelena Lobb. "Driving Scale with Otto." Harvard Business School Case 724-407, June 2024. (Revised September 2024.)
      • 2024
      • Working Paper

      Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization

      By: Ta-Wei Huang, Eva Ascarza and Ayelet Israeli
      This paper introduces Incrementality Representation Learning (IRL), a novel multitask representation learning framework that predicts heterogeneous causal effects of marketing interventions. By leveraging past experiments, IRL efficiently designs and targets... View Details
      Keywords: Heterogeneous Treatment Effect; Multi-task Learning; Representation Learning; Personalization; Promotion; Deep Learning; Field Experiments; Customer Focus and Relationships; Customization and Personalization
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      Huang, Ta-Wei, Eva Ascarza, and Ayelet Israeli. "Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization." Harvard Business School Working Paper, No. 24-076, June 2024.
      • 2024
      • Working Paper

      Advancing Personalization: How to Experiment, Learn & Optimize

      By: Aurelie Lemmens, Jason M.T. Roos, Sebastian Gabel, Eva Ascarza, Hernan Bruno, Elea McDonnell Feit, Brett Gordon, Ayelet Israeli, Carl F. Mela and Oded Netzer
      Personalization has become the heartbeat of modern marketing. Advances in causal inference and machine learning enable companies to understand how the same marketing action can impact the choices of individual customers differently. This article provides an academic... View Details
      Keywords: Personalization; Targeting; Experiments; Observational Studies; Policy Implementation; Policy Evaluation; Customization and Personalization; Marketing Strategy; AI and Machine Learning
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      Lemmens, Aurelie, Jason M.T. Roos, Sebastian Gabel, Eva Ascarza, Hernan Bruno, Elea McDonnell Feit, Brett Gordon, Ayelet Israeli, Carl F. Mela, and Oded Netzer. "Advancing Personalization: How to Experiment, Learn & Optimize." Working Paper, July 2024. (Revised March 2025.)
      • April 2024
      • Case

      Managing AI Risks in Consumer Banking

      By: Suraj Srinivasan, Satish Tadikonda, Paul Dongha, Manoj Saxena and Radhika Kak
      In early 2024, Ruth Jones, head of digital banking at Signa Bank, a (fictitious) European consumer bank, was thinking about how to best incorporate GenAI capabilities to improve efficiencies and create new ways to improve the customer experience. Where were the biggest... View Details
      Keywords: Customer Relationship Management; AI and Machine Learning; Risk Management; Opportunities; Customization and Personalization; Banking Industry; Europe
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      Srinivasan, Suraj, Satish Tadikonda, Paul Dongha, Manoj Saxena, and Radhika Kak. "Managing AI Risks in Consumer Banking." Harvard Business School Case 124-093, April 2024.
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