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Publications

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      • Faculty Publications  (129)

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      • February 2025
      • Case

      Luca de Meo at Renault Group (A)

      By: Emily Truelove, Linda A. Hill and Lydia Begag
      When Luca de Meo became CEO of Renault Group in 2020, the 122-year-old French automaker faced financial challenges and the double technological disruption of the automotive industry: the shift to electric vehicles (EVs) and the rise of software-defined vehicles (SDVs).... View Details
      Keywords: Change Management; Transformation; Transition; Interpersonal Communication; Forms of Communication; Talent and Talent Management; Experience and Expertise; Customer Value and Value Chain; Decision Making; Economic Growth; Financial Crisis; Alternative Energy; Engineering; Global Strategy; Governance; Digital Transformation; Digital Strategy; Technology Adoption; Disruptive Innovation; Technological Innovation; Innovation Leadership; Collaborative Innovation and Invention; Leading Change; Leadership Development; Leadership Style; Crisis Management; Management Skills; Business Processes; Organizational Culture; Organizational Structure; Performance Efficiency; Transportation; Auto Industry; Battery Industry; Energy Industry; Green Technology Industry; Transportation Industry; France; Europe; China
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      Truelove, Emily, Linda A. Hill, and Lydia Begag. "Luca de Meo at Renault Group (A)." Harvard Business School Case 425-041, February 2025.
      • February 2025
      • Case

      Luca de Meo at Renault Group (A) (Abridged)

      By: Emily Truelove, Linda A. Hill and Lydia Begag
      When Luca de Meo became CEO of Renault Group in 2020, the 122-year-old French automaker faced financial challenges and the double technological disruption of the automotive industry: the shift to electric vehicles (EVs) and the rise of software-defined vehicles (SDVs).... View Details
      Keywords: Change Management; Transformation; Transition; Interpersonal Communication; Forms of Communication; Talent and Talent Management; Experience and Expertise; Customer Value and Value Chain; Decision Making; Economic Growth; Financial Crisis; Alternative Energy; Engineering; Global Strategy; Governance; Digital Transformation; Digital Strategy; Technology Adoption; Disruptive Innovation; Technological Innovation; Innovation Leadership; Collaborative Innovation and Invention; Leading Change; Leadership Development; Leadership Style; Crisis Management; Management Skills; Business Processes; Organizational Culture; Organizational Structure; Performance Efficiency; Transportation; Auto Industry; Battery Industry; Energy Industry; Green Technology Industry; Transportation Industry; France; Europe; China
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      Truelove, Emily, Linda A. Hill, and Lydia Begag. "Luca de Meo at Renault Group (A) (Abridged)." Harvard Business School Case 425-067, February 2025.
      • January 2025
      • Case

      Intuition Robotics: An AI Companion for Older Adults

      By: Amit Goldenberg, Elie Ofek and Orna Dan
      Intuition Robotics, a startup that makes an AI companion robot to alleviate older adults’ loneliness, debates whether to pursue a B2C model or B2G route. If it opts for the government vertical, it must determine how to negotiate a favorable deal. Two weeks after... View Details
      Keywords: Business Model; Business Startups; AI and Machine Learning; Technology Adoption; Product Launch; Market Entry and Exit; Negotiation Offer; Business and Government Relations; Health Industry; Technology Industry; United States; New York (state, US)
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      Goldenberg, Amit, Elie Ofek, and Orna Dan. "Intuition Robotics: An AI Companion for Older Adults." Harvard Business School Case 925-018, January 2025.
      • January–February 2025
      • Article

      What People Still Get Wrong About Negotiations: They Assume the Size of the Pie Is Fixed—and So Miss Opportunities to Create Value

      By: Max H. Bazerman
      Most executives leave value on the negotiating table, for two main reasons: First, many executives mistakenly believe that they’re negotiating over a fixed pie and that gains for one side necessarily mean losses for the other. Second, they focus exclusively on how to... View Details
      Keywords: Negotiation Offer; Negotiation Tactics; Value; Communication; Trust
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      Bazerman, Max H. "What People Still Get Wrong About Negotiations: They Assume the Size of the Pie Is Fixed—and So Miss Opportunities to Create Value." Harvard Business Review 103, no. 1 (January–February 2025): 71–77.
      • December 2024 (Revised March 2025)
      • Case

      WayCool: Addressing Food Loss

      By: Rajiv Lal and Kairavi Dey
      Headquartered in Chennai, India, WayCool started by focusing on solving the growing challenge of food losses and low farmer incomes. Dasari and Jayaraman, surprised at the amount of fruits and vegetables lost in the agricultural supply chain, set up the company with... View Details
      Keywords: Agribusiness; Entrepreneurship; Business Model; Food; Supply Chain; Loss; Expansion; Distribution Channels; Agriculture and Agribusiness Industry; Asia; India; Bangalore; Chennai
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      Lal, Rajiv, and Kairavi Dey. "WayCool: Addressing Food Loss." Harvard Business School Case 525-041, December 2024. (Revised March 2025.)
      • 2024
      • Working Paper

      Categorical Processing in a Complex World

      By: Marco Sammon, Thomas Graeber and Christopher Roth
      In real-world news environments, quantitative information is rarely presented in isolation; it is characterized through qualitative comparisons with various reference levels. Company earnings, for example, are commonly compared to analyst forecasts, previous earnings,... View Details
      Keywords: Announcements; Cognition and Thinking; Communication Strategy
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      Sammon, Marco, Thomas Graeber, and Christopher Roth. "Categorical Processing in a Complex World." Working Paper, November 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).
      • June 2024
      • Case

      Growing Foodology into Latin America's Largest Platform for Virtual Restaurants

      By: Jorge Tamayo, Rembrand Koning and Jenyfeer Martinez Buitrago
      This case delves into the expansion strategy of Foodology, a cloud kitchen startup based in Bogotá that operated across four Latin American countries (Colombia, Brazil, Mexico, and Peru). Co-founders Daniela Izquierdo and Juan Guillermo Azuero (both HBS, 2019) grappled... View Details
      Keywords: Entrepreneurship; Food; Digital Platforms; Product Launch; Growth and Development Strategy; Business Strategy; Business Model; Business Startups; Profit; Marketing Strategy; Expansion; Diversification; Food and Beverage Industry; Latin America; South America; Colombia; Brazil; Mexico; Peru
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      Tamayo, Jorge, Rembrand Koning, and Jenyfeer Martinez Buitrago. "Growing Foodology into Latin America's Largest Platform for Virtual Restaurants." Harvard Business School Case 724-393, June 2024.
      • June 2024
      • Article

      Real Growth in Space Manufacturing Output Substantially Exceeds Growth in the Overall Space Economy

      By: Tina Highfill and Matthew Weinzierl
      Accurately measuring real economic output in the space economy is made difficult by the rapid increase in capabilities and decrease in prices of launch and satellite technologies achieved over the past two decades. Nominal measures of output in space will tend to... View Details
      Keywords: Technological Innovation; Economic Growth; Price; Production; Aerospace Industry
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      Highfill, Tina, and Matthew Weinzierl. "Real Growth in Space Manufacturing Output Substantially Exceeds Growth in the Overall Space Economy." Acta Astronautica 219 (June 2024): 236–242.
      • 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.
      • 2024
      • Working Paper

      The Cram Method for Efficient Simultaneous Learning and Evaluation

      By: Zeyang Jia, Kosuke Imai and Michael Lingzhi Li
      We introduce the "cram" method, a general and efficient approach to simultaneous learning and evaluation using a generic machine learning (ML) algorithm. In a single pass of batched data, the proposed method repeatedly trains an ML algorithm and tests its empirical... View Details
      Keywords: AI and Machine Learning
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      Jia, Zeyang, Kosuke Imai, and Michael Lingzhi Li. "The Cram Method for Efficient Simultaneous Learning and Evaluation." Working Paper, March 2024.
      • 2024
      • Working Paper

      Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference

      By: Michael Lindon, Dae Woong Ham, Martin Tingley and Iavor I. Bojinov
      Linear regression adjustment is commonly used to analyze randomized controlled experiments due to its efficiency and robustness against model misspecification. Current testing and interval estimation procedures leverage the asymptotic distribution of such estimators to... View Details
      Keywords: Mathematical Methods; Analytics and Data Science
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      Lindon, Michael, Dae Woong Ham, Martin Tingley, and Iavor I. Bojinov. "Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference." Harvard Business School Working Paper, No. 24-060, March 2024.
      • January 2024 (Revised February 2024)
      • Case

      Data-Driven Denim: Financial Forecasting at Levi Strauss

      By: Mark Egan
      The case examines Levi Strauss’ journey in implementing machine learning and AI into its financial forecasting process. The apparel company partnered with the IT company Wipro in 2017 to develop a machine learning algorithm that could help Levi Strauss forecast its... View Details
      Keywords: Investor Relations; Forecasting; Machine Learning; Artificial Intelligence; Apparel; Corporate Finance; Forecasting and Prediction; AI and Machine Learning; Digital Transformation; Apparel and Accessories Industry; United States
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      Egan, Mark. "Data-Driven Denim: Financial Forecasting at Levi Strauss." Harvard Business School Case 224-029, January 2024. (Revised February 2024.)
      • December 2023 (Revised January 2025)
      • Case

      Research In Motion: Launching and Scaling the World's First Smartphone Empire (A)

      By: Tatiana Sandino and Samuel Grad
      In 2005, Research In Motion’s (RIM) BlackBerry smartphone was a sensation. After its launch in 1999, the groundbreaking BlackBerry had captured the hearts and minds of corporate America through its secure wireless email service. The device was so addictive and... View Details
      Keywords: Business Growth and Maturation; Decision Choices and Conditions; Mobile and Wireless Technology; Innovation and Management; Technological Innovation; Business or Company Management; Management Style; Product Development; Managerial Roles; Growth and Development Strategy; Technology Industry; United States; Canada
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      Sandino, Tatiana, and Samuel Grad. "Research In Motion: Launching and Scaling the World's First Smartphone Empire (A)." Harvard Business School Case 124-023, December 2023. (Revised January 2025.)
      • October 2023 (Revised November 2023)
      • Case

      Recycle & Re-Match: The Future of Soccer Turfs

      By: George Serafeim, Lena Duchene and Carlota Moniz
      By August 2023, Re-Match, an artificial turf waste-to-value company, had operations in Denmark and the Netherlands and had recycled over 160,000 tons of waste and plastic fiber. With recent capital injection from the VC firm Verdane and a dual revenue business model,... View Details
      Keywords: Carbon Emissions; Carbon Abatement; Sustainability; Recycling; Waste Management; Technology; Entrepreneurial Management; Business Growth and Maturation; Business Model; Decisions; Energy Conservation; Investment Return; Profit; Technological Innovation; Patents; Growth and Development Strategy; Market Entry and Exit; Digital Platforms; Wastes and Waste Processing; Business Strategy; Competition; Expansion; Technology Adoption; Sports; Environmental Sustainability; Entrepreneurship; Green Technology Industry; Service Industry; Manufacturing Industry; Rubber Industry; Sports Industry; Denmark; Netherlands; France; United States; Pennsylvania; Europe
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      Serafeim, George, Lena Duchene, and Carlota Moniz. "Recycle & Re-Match: The Future of Soccer Turfs." Harvard Business School Case 124-032, October 2023. (Revised November 2023.)
      • 2023
      • Working Paper

      Black-box Training Data Identification in GANs via Detector Networks

      By: Lukman Olagoke, Salil Vadhan and Seth Neel
      Since their inception Generative Adversarial Networks (GANs) have been popular generative models across images, audio, video, and tabular data. In this paper we study whether given access to a trained GAN, as well as fresh samples from the underlying distribution, if... View Details
      Keywords: Cybersecurity; Copyright; AI and Machine Learning; Analytics and Data Science
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      Olagoke, Lukman, Salil Vadhan, and Seth Neel. "Black-box Training Data Identification in GANs via Detector Networks." Working Paper, October 2023.
      • 2023
      • Working Paper

      In-Context Unlearning: Language Models as Few Shot Unlearners

      By: Martin Pawelczyk, Seth Neel and Himabindu Lakkaraju
      Machine unlearning, the study of efficiently removing the impact of specific training points on the trained model, has garnered increased attention of late, driven by the need to comply with privacy regulations like the Right to be Forgotten. Although unlearning is... View Details
      Keywords: AI and Machine Learning; Copyright; Information
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      Pawelczyk, Martin, Seth Neel, and Himabindu Lakkaraju. "In-Context Unlearning: Language Models as Few Shot Unlearners." Working Paper, October 2023.
      • 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.
      • August 2023
      • Supplement

      Reimagining Hindustan Unilever (B)

      By: Sunil Gupta and Rachna Tahilyani
      In April 2023, as the CEO and MD of Hindustan Unilever (HUL), India’s largest fast-moving consumer goods (FMCG) firm, prepared to hand over the firm’s reins to his successor, he proudly reflected on the last decade. His quest to digitally transform HUL into an... View Details
      Keywords: Experimentation; Digital Transformation; Digital Strategy; Leading Change; Organizational Change and Adaptation; Business Strategy; Marketing; Performance; Competition; E-commerce; Consumer Behavior; Transformation; Distribution; Decisions; Consumer Products Industry; Asia; India
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      Gupta, Sunil, and Rachna Tahilyani. "Reimagining Hindustan Unilever (B)." Harvard Business School Supplement 524-022, August 2023.
      • 2023
      • Article

      Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten

      By: Himabindu Lakkaraju, Satyapriya Krishna and Jiaqi Ma
      The Right to Explanation and the Right to be Forgotten are two important principles outlined to regulate algorithmic decision making and data usage in real-world applications. While the right to explanation allows individuals to request an actionable explanation for an... View Details
      Keywords: Analytics and Data Science; AI and Machine Learning; Decision Making; Governing Rules, Regulations, and Reforms
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      Lakkaraju, Himabindu, Satyapriya Krishna, and Jiaqi Ma. "Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 17808–17826.
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