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      • August 2024
      • Case

      Oculii

      By: Andy Wu and Lucas Defilippo
      It was a bright June day in 2016. Steven Hong, co-founder and COO of Oculii had just signed a letter of intent agreeing to a 51% stake acquisition by Nexteer Automotive, a global steering and driveline supplier company that developed advanced driver assistance systems... View Details
      Keywords: Automotive; Autonomous Vehicles; Wireless Communications; Mergers and Acquisitions; Communication Intention and Meaning; Intellectual Property; Growth Management; Negotiation Deal; Supply Chain; Auto Industry; Technology Industry
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      Wu, Andy, and Lucas Defilippo. "Oculii." Harvard Business School Case 725-380, August 2024.
      • August 2024
      • Background Note

      Mitigating Climate Change with Machine Learning

      By: Michael W. Toffel, Kelsey Carter, Amy Chambers, Avery Park and Susan Pinckney
      This note highlights how machine learning is being used to decarbonize (reduce GHG emissions) several key sectors including electricity, transportation, building, industrial processes, and agriculture -- and how machine learning is being used to accelerate efforts to... View Details
      Keywords: Climate; Artificial Intelligence; Adaptation; Climate Change; AI and Machine Learning; Innovation and Invention
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      Toffel, Michael W., Kelsey Carter, Amy Chambers, Avery Park, and Susan Pinckney. "Mitigating Climate Change with Machine Learning." Harvard Business School Background Note 625-014, August 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).
      • 2025
      • Working Paper

      Narrative AI and the Human-AI Oversight Paradox in Evaluating Early-Stage Innovations

      By: Jacqueline N. Lane, Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh and Pei-Hsin Wang
      Do AI-generated narrative explanations enhance human oversight or diminish it? We investigate this question through a field experiment with 228 evaluators screening 48 early-stage innovations under three conditions: human-only, black-box AI recommendations without... 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. "Narrative AI and the Human-AI Oversight Paradox in Evaluating Early-Stage Innovations." Harvard Business School Working Paper, No. 25-001, August 2024. (Revised May 2025.)
      • 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).
      • 2024
      • Article

      Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules

      By: Michael Lingzhi Li and Kosuke Imai
      A century ago, Neyman showed how to evaluate the efficacy of treatment using a randomized experiment under a minimal set of assumptions. This classical repeated sampling framework serves as a basis of routine experimental analyses conducted by today’s scientists across... View Details
      Keywords: AI and Machine Learning; Research
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      Li, Michael Lingzhi, and Kosuke Imai. "Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules." Journal of Causal Inference 12, no. 1 (2024).
      • July 2024 (Revised January 2025)
      • Case

      Dynamic Pricing at Wendy's: Where's the Beef?

      By: Elie Ofek, Alicia Dadlani and Martha Hostetter
      In early 2024, Wendy’s new CEO announced on an earnings call that the company would install digital menus in its US locations so it could begin testing dynamic pricing—changing prices up or down in response to shifts in supply and demand – as well as allow engaging in... View Details
      Keywords: Dynamic Pricing; Marketing Strategy; Price; Technology Adoption; Consumer Behavior; AI and Machine Learning; Customer Focus and Relationships; Policy; Food and Beverage Industry
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      Ofek, Elie, Alicia Dadlani, and Martha Hostetter. "Dynamic Pricing at Wendy's: Where's the Beef?" Harvard Business School Case 525-010, July 2024. (Revised January 2025.)
      • July 2024
      • Case

      The Voice Wars Continues 2024: Hey Google vs. Alexa vs. Siri vs. ChatGPT

      By: David B. Yoffie and Sarah von Bargen
      In 2024, the Voice War was transforming from a relatively simple index-based technology system, which relied on a list of commands and answers, to a generative AI system, which offered the promise to enable free flowing conversations between people and machines. The... View Details
      Keywords: AI and Machine Learning; Competition; Technological Innovation; Technology Industry
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      Yoffie, David B., and Sarah von Bargen. "The Voice Wars Continues 2024: Hey Google vs. Alexa vs. Siri vs. ChatGPT." Harvard Business School Case 725-352, July 2024.
      • July 2024
      • Case

      Board Director Dilemmas: Strategic Leadership

      By: David G. Fubini and Patrick Sanguineti
      Professor John Michaels, a distinguished scholar of corporate strategy, has served on the Board of OmniCo, a diversified industrial giant, for four years. Three months ago, the Board appointed a new CEO, Andrew Bennett, to lead growth, develop a more cooperative... View Details
      Keywords: Board; Board Dynamics; Strategic Leadership; Governing and Advisory Boards; Corporate Strategy; Organizational Culture; Leadership Style; Management Succession
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      Fubini, David G., and Patrick Sanguineti. "Board Director Dilemmas: Strategic Leadership." Harvard Business School Case 425-013, July 2024.
      • July 11, 2024
      • Article

      Research: New Hires’ Psychological Safety Erodes Quickly

      By: Derrick P. Bransby, Michael J. Kerrissey and Amy C. Edmondson
      Across industries, from manufacturing to health care, the luxury of waiting years to benefit from new talent is long gone. Thriving in today’s dynamic economy means bringing new hires up the learning curve faster than ever. Yet, the authors’ latest research suggests... View Details
      Keywords: Talent and Talent Management; Learning; Interpersonal Communication; Employees
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      Bransby, Derrick P., Michael J. Kerrissey, and Amy C. Edmondson. "Research: New Hires’ Psychological Safety Erodes Quickly." Harvard Business Review Digital Articles (July 11, 2024).
      • July 2024 (Revised October 2024)
      • Case

      Knowledge Transfer: Toyota, NUMMI, and GM

      By: Willy Shih
      New United Motors Manufacturing, Inc. (NUMMI) was a joint venture between Toyota and General Motors. It was an opportunity for GM to learn about the Toyota Production System, which was quite different from the mass production processes American automakers used at the... View Details
      Keywords: Culture Change; Organizational Culture; Organizational Change and Adaptation; Factories, Labs, and Plants; Joint Ventures; Transformation; Selection and Staffing; Knowledge Acquisition; Knowledge Sharing; Labor Unions; Management Systems; Performance Improvement; Production; Labor and Management Relations; Auto Industry; Japan; United States
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      Shih, Willy. "Knowledge Transfer: Toyota, NUMMI, and GM." Harvard Business School Case 625-003, July 2024. (Revised October 2024.)
      • July 2024 (Revised December 2024)
      • Case

      Compass Ethics: Governing Through Ethical Principles at WeCorp Industries

      By: Elisabeth Kempf and Jesse M. Shapiro
      Andrew Hill is Chief Information Officer at WeCorp, a UK-based defense technology startup specializing in drone technology. WeCorp faces decisions about international licensing and AI integration in its drones. In partnership with Compass Ethics, Hill aims to establish... View Details
      Keywords: Business Startups; Decision Making; Ethics; Entrepreneurial Finance; AI and Machine Learning; Technology Industry; United Kingdom
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      Kempf, Elisabeth, and Jesse M. Shapiro. "Compass Ethics: Governing Through Ethical Principles at WeCorp Industries." Harvard Business School Case 224-105, July 2024. (Revised December 2024.)
      • July 2024
      • Case

      Knowledge-Enabled Financial Advice: Digital Transformation at Edward Jones

      By: Lauren Cohen, Richard Ryffel, Grace Headinger and Sophia Pan
      Edward Jones, a wealth management advisory firm that prided itself on its interpersonal connections and face-to-face interactions, was eager to augment their services with AI capabilities. Built on 1-to-1 close-knit relationships, the firm had more than 15,000 offices... View Details
      Keywords: Fintech; Innovation And Strategy; Financial Advisors; Big Data; Artificial Intelligence; Digitization; Financial Institutions; Business Strategy; Competitive Advantage; Technology Adoption; Business Plan; Technological Innovation; Interpersonal Communication; Communication Intention and Meaning; Communication Strategy; Transformation; Employee Stock Ownership Plan; Disruptive Innovation; Innovation Strategy; Innovation and Management; Innovation Leadership; Knowledge Acquisition; Knowledge Use and Leverage; Customer Relationship Management; AI and Machine Learning; Digital Strategy; Financial Services Industry; St. Louis; Missouri; United States; Canada
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      Cohen, Lauren, Richard Ryffel, Grace Headinger, and Sophia Pan. "Knowledge-Enabled Financial Advice: Digital Transformation at Edward Jones." Harvard Business School Case 225-009, July 2024.
      • July 2024
      • Article

      Chatbots and Mental Health: Insights into the Safety of Generative AI

      By: Julian De Freitas, Ahmet Kaan Uğuralp, Zeliha Uğuralp and Stefano Puntoni
      Chatbots are now able to engage in sophisticated conversations with consumers. Due to the ‘black box’ nature of the algorithms, it is impossible to predict in advance how these conversations will unfold. Behavioral research provides little insight into potential safety... View Details
      Keywords: Autonomy; Chatbots; New Technology; Brand Crises; Mental Health; Large Language Model; AI and Machine Learning; Behavior; Well-being; Technological Innovation; Ethics
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      De Freitas, Julian, Ahmet Kaan Uğuralp, Zeliha Uğuralp, and Stefano Puntoni. "Chatbots and Mental Health: Insights into the Safety of Generative AI." Journal of Consumer Psychology 34, no. 3 (July 2024): 481–491.
      • July–August 2024
      • Article

      Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals

      By: Ta-Wei Huang and Eva Ascarza
      Firms are increasingly interested in developing targeted interventions for customers with the best response, which requires identifying differences in customer sensitivity, typically through the conditional average treatment effect (CATE) estimation. In theory, to... View Details
      Keywords: Long-run Targeting; Heterogeneous Treatment Effect; Statistical Surrogacy; Customer Churn; Field Experiments; Consumer Behavior; Customer Focus and Relationships; AI and Machine Learning; Marketing Strategy
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      Huang, Ta-Wei, and Eva Ascarza. "Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals." Marketing Science 43, no. 4 (July–August 2024): 863–884.
      • 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.
      • 2024
      • Working Paper

      Learning to Cover: Online Learning and Optimization with Irreversible Decisions

      By: Alexander Jacquillat and Michael Lingzhi Li
      Keywords: Buildings and Facilities; AI and Machine Learning; Geographic Location; Strategic Planning
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      Jacquillat, Alexander, and Michael Lingzhi Li. "Learning to Cover: Online Learning and Optimization with Irreversible Decisions." Working Paper, June 2024.
      • July 2024
      • Case

      Replika AI: Alleviating Loneliness (A)

      By: Shikhar Ghosh and Shweta Bagai
      Eugenia Kuyda launched Replika AI in 2017 as an empathetic digital companion to combat loneliness and provide emotional support. The platform surged in popularity during the COVID-19 pandemic, offering non-judgmental support to isolated users. By 2023, Replika boasted... View Details
      Keywords: Entrepreneurship; Ethics; Health Pandemics; AI and Machine Learning; Well-being; Technology Industry
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      Ghosh, Shikhar, and Shweta Bagai. "Replika AI: Alleviating Loneliness (A)." Harvard Business School Case 824-088, July 2024.
      • June 2024
      • Teaching Note

      Numenta in 2020: The Future of AI

      By: David B. Yoffie
      In 2020, Numenta’s co-founder, Jeff Hawkins, completed his pathbreaking research on artificial intelligence. His co-founder and CEO, Donna Dubinsky, had to find a business model to monetize the technology. This teaching note explores the challenges of building a... View Details
      Keywords: Artificial Intelligence; Monetization; Strategy; Intellectual Property; AI and Machine Learning; Business Model; Entrepreneurship; Technology Industry
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      Yoffie, David B. "Numenta in 2020: The Future of AI." Harvard Business School Teaching Note 724-496, June 2024.
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