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- All HBS Web
(10,771)
- Faculty Publications (962)
- February 2025 (Revised April 2025)
- Case
Institutional Neutrality, Restraint or Convenience?
By: Clayton S. Rose, Nicole Zelazko and Alexis Lefort
In the fall of 2023 and winter of 2024, college campuses across the U.S. experienced protests and encampments in the aftermath of the October 7, 2023 terrorist attack on Israel by the Islamist militant group Hamas, and Israel’s subsequent invasion of Gaza. These... View Details
Keywords: Distribution; Cost vs Benefits; Ethics; Governance; Leadership; Crisis Management; Risk Management; Corporate Social Responsibility and Impact; Mission and Purpose; Organizational Change and Adaptation; Organizational Culture; Civil Society or Community; Social Issues; Adaptation; Disruption; Communication Strategy; Higher Education; United States
Rose, Clayton S., Nicole Zelazko, and Alexis Lefort. "Institutional Neutrality, Restraint or Convenience?" Harvard Business School Case 325-022, February 2025. (Revised April 2025.)
- 2025
- Working Paper
Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning
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
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
- Working Paper
A Cognitive Theory of Reasoning and Choice
By: Pedro Bordalo, Nicola Gennaioli, Giacomo Lanzani and Andrei Shleifer
We present a theory of decisions in which attention to the features of choice options is determined by the decision maker's categorization of the current choice problem in a set of problems she solved in the past. Categorization depends on goal-relevant as well as... View Details
Bordalo, Pedro, Nicola Gennaioli, Giacomo Lanzani, and Andrei Shleifer. "A Cognitive Theory of Reasoning and Choice." NBER Working Paper Series, No. 33466, February 2025.
- February 2025
- Article
Disclosure, Humanizing, and Contextual Vulnerability of Generative AI Chatbots
By: Julian De Freitas and I. Glenn Cohen
In the wake of recent advancements in generative AI, regulatory bodies are trying to keep pace. One key decision is whether to require app makers to disclose the use of generative AI-powered chatbots in their products. We suggest that some generative AI-based chatbots... View Details
Keywords: AI and Machine Learning; Governing Rules, Regulations, and Reforms; Applications and Software; Well-being
De Freitas, Julian, and I. Glenn Cohen. "Disclosure, Humanizing, and Contextual Vulnerability of Generative AI Chatbots." New England Journal of Medicine AI 2, no. 2 (February 2025).
- January 2025
- Supplement
Colbún’s Angostura Dam Project (B)
By: James K. Sebenius and Nicolas Andrade
The A case describes Colbún Chile’s plans for the Angostura dam in the Bío Bío River, a hydroelectric construction venture with major challenges given the region’s history of indigenous resistance. This context was especially unfavorable given the highly contentious... View Details
- January 2025
- Case
Colbún's Angostura Dam Project (A)
By: James K. Sebenius and Nicolas Andrade
The A case describes Colbún Chile’s plans for the Angostura dam in the Bío Bío River, a hydroelectric construction venture with major challenges given the region’s history of indigenous resistance. This context was especially unfavorable given the highly contentious... View Details
- January 2025
- Module Note
Understanding and Addressing Gender Gaps
This module provides a framework for students to analyze how gender stereotypes, through their impact on beliefs about others and beliefs about ourselves, contribute to gender gaps in the workplace. The module proceeds in three parts. First, through a case and an... View Details
Coffman, Katherine. "Understanding and Addressing Gender Gaps." Harvard Business School Module Note 925-021, January 2025.
- January 2025 (Revised April 2025)
- Case
Duolingo: On a 'Streak'
By: Jeffrey F. Rayport, Nicole Tempest Keller and Nicole Luo
In December 2024, Severin Hacker, Co-Founder and Chief Technology Officer of Duolingo, reflected on the remarkable evolution of the language-learning app he helped launch in 2011. As the #1 most downloaded education app in the world, Duolingo had over 100 million... View Details
Keywords: Learning; AI and Machine Learning; Growth and Development Strategy; Motivation and Incentives; Diversification; Business Model; Market Entry and Exit; Technology Industry; Education Industry; United States
Rayport, Jeffrey F., Nicole Tempest Keller, and Nicole Luo. "Duolingo: On a 'Streak'." Harvard Business School Case 825-097, January 2025. (Revised April 2025.)
- January 2025 (Revised March 2025)
- Case
Gavi and the 'Next' Pandemic
By: Tarun Khanna and Kerry Herman
In 2025, CEO Dr. Sania Nishtar and her team consider the lessons the Global Alliance for Vaccine and Immunizations (GAVI) learned from the pandemic. GAVI successfully brought COVID-19 vaccines to large swaths of the undeveloped and under-developed world by pooling... View Details
Keywords: Developing Countries and Economies; Health Care and Treatment; Health Pandemics; Crisis Management; Success; Innovation and Invention; Service Delivery; Organizational Change and Adaptation; Strategic Planning; Pharmaceutical Industry; Africa
Khanna, Tarun, and Kerry Herman. "Gavi and the 'Next' Pandemic." Harvard Business School Case 725-351, January 2025. (Revised March 2025.)
- January 2025
- Technical Note
AI vs Human: Analyzing Acceptable Error Rates Using the Confusion Matrix
By: Tsedal Neeley and Tim Englehart
This technical note introduces the confusion matrix as a foundational tool in artificial intelligence (AI) and large language models (LLMs) for assessing the performance of classification models, focusing on their reliability for decision-making. A confusion matrix... View Details
Keywords: Reliability; Confusion Matrix; AI and Machine Learning; Decision Making; Measurement and Metrics; Performance
Neeley, Tsedal, and Tim Englehart. "AI vs Human: Analyzing Acceptable Error Rates Using the Confusion Matrix." Harvard Business School Technical Note 425-049, January 2025.
- Working Paper
AI in Disguise—How AI-generated Ads' Visual Cues Shape Consumer Perception and Performance
By: Yannick Exner, Jochen Hartmann, Oded Netzer and Shunyuan Zhang
Generative AI’s recent advancements in creating content have offered vast potential to transform the advertising industry. This research investigates the impact of generative AI-enabled visual ad creation on real-world advertising effectiveness. For this purpose, we... View Details
Keywords: Digital Marketing; AI and Machine Learning; Advertising; Consumer Behavior; Advertising Industry
Exner, Yannick, Jochen Hartmann, Oded Netzer, and Shunyuan Zhang. "AI in Disguise—How AI-generated Ads' Visual Cues Shape Consumer Perception and Performance." SSRN Working Paper Series, No. 5096969.
- January 2025
- Case
AI Meets VC: The Data-Driven Revolution at Quantum Light Capital
By: Lauren Cohen, Grace Headinger and Sophia Pan
Ilya Kondrashov, CEO of Quantum Light Capital, was driven to harness AI for identifying high-potential scale-ups. Collaborating with Nik Storonsky, founder of Revolut, the duo observed that most venture capital (VC) decisions were heavily influenced by emotion, with... View Details
Keywords: Artificial Intelligence; Business Finance; Data Analysis; Angel Investors; Cognitive Biases; Scale; Venture Capital; Investment; Business Model; Forecasting and Prediction; Technological Innovation; Innovation Strategy; Behavior; Cognition and Thinking; Public Opinion; Private Sector; Business Strategy; Competitive Advantage; Business Earnings; Behavioral Finance; AI and Machine Learning; Analytics and Data Science; Business Startups; Financial Services Industry; London; United Kingdom
Cohen, Lauren, Grace Headinger, and Sophia Pan. "AI Meets VC: The Data-Driven Revolution at Quantum Light Capital." Harvard Business School Case 225-053, January 2025.
- 2025
- Book
Negotiation: The Game Has Changed
By: Max Bazerman
The world has changed dramatically in just the past few years—and so has the game of negotiation. COVID-19, Zoom, political polarization, the online economy, increasing economic globalization, and greater workplace diversity—all have transformed the who, what, where,... View Details
Bazerman, Max. Negotiation: The Game Has Changed. Princeton University Press, 2025.
- 2025
- Article
Humor as a Window into Generative AI Bias
By: Roger Samure, Julian De Freitas and Stefano Puntoni
A preregistered audit of 600 images by generative AI across 150 different prompts explores the link between humor and discrimination in consumer-facing AI solutions. When ChatGPT updates images to make them “funnier”, the prevalence of stereotyped groups changes. While... View Details
Samure, Roger, Julian De Freitas, and Stefano Puntoni. "Humor as a Window into Generative AI Bias." Art. 1326. Scientific Reports 15 (2025).
- January 2025
- Case
Constitutional Fiction: John Miller & the Legitimacy of Family Constitutions
By: Lauren Cohen, Octavian Graf Pilati and Sophia Pan
John Miller sat reviewing his family’s Constitution, grappling with how best to implement and enforce its provisions. Designed to prevent ambiguity in governance, the Family Constitution set out core values and guidelines to promote harmony and cohesion among family... View Details
Keywords: Conflict Resolution; Perspective Taking; Liabilities; Family Business; Family Ownership; Business Growth and Maturation; Alignment; Cooperation; Attitudes; Behavior; Cognition and Thinking; Conflict Management; Conflict of Interests; Power and Influence; Perception; Trust; Perspective; Motivation and Incentives; Happiness; Identity; Goals and Objectives; Legal Liability; Contracts; Fairness; Values and Beliefs; Governance Controls; Governing Rules, Regulations, and Reforms; Family and Family Relationships; Manufacturing Industry; Germany
Cohen, Lauren, Octavian Graf Pilati, and Sophia Pan. "Constitutional Fiction: John Miller & the Legitimacy of Family Constitutions." Harvard Business School Case 225-054, January 2025.
- January 2025
- Article
Reducing Prejudice with Counter-stereotypical AI
By: Erik Hermann, Julian De Freitas and Stefano Puntoni
Based on a review of relevant literature, we propose that the proliferation of AI with human-like and social features presents an unprecedented opportunity to address the underlying cognitive and affective drivers of prejudice. An approach informed by the psychology of... View Details
Keywords: Prejudice and Bias; AI and Machine Learning; Interpersonal Communication; Social and Collaborative Networks
Hermann, Erik, Julian De Freitas, and Stefano Puntoni. "Reducing Prejudice with Counter-stereotypical AI." Consumer Psychology Review 8, no. 1 (January 2025): 75–86.
- 2025
- Article
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
By: Kosuke Imai and Michael Lingzhi Li
Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with... View Details
Imai, Kosuke, and Michael Lingzhi Li. "Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments." Journal of Business & Economic Statistics 43, no. 1 (2025): 256–268.
- 2025
- Book
Talk: The Science of Conversation and the Art of Being Ourselves
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
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
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.
- December 2024 (Revised March 2025)
- Case
Tata Power and India's Energy Transition
By: Vikram S. Gandhi, Radhika Kak and Kairavi Dey
Tata Power stood at the forefront of India’s energy transition. The firm had a long history deeply intertwined with the country's development. As Mumbai’s power needs increased, Tata Power built out thermal assets across North, West, and East India. While thermal power... View Details
Keywords: Renewable Energy; Energy Sources; Climate Change; Green Technology; Transition; Energy Generation; Resource Allocation; Energy Industry; Asia; India
Gandhi, Vikram S., Radhika Kak, and Kairavi Dey. "Tata Power and India's Energy Transition." Harvard Business School Case 325-081, December 2024. (Revised March 2025.)