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- All HBS Web
(10,941)
- Faculty Publications (2,017)
- January 2025
- Case
Moderna: Democratizing Artificial Intelligence
By: Iavor I. Bojinov, Karim R. Lakhani, Annika Hildebrandt and James Weber
The case study examines Moderna's journey in democratizing artificial intelligence (AI), particularly generative AI, across its workforce. It details the company's "digital-first, AI-focused" approach, including the rollout of OpenAI's ChatGPT Enterprise to all... View Details
Keywords: AI and Machine Learning; Technology Adoption; Innovation Strategy; Governance Controls; Biotechnology Industry
Bojinov, Iavor I., Karim R. Lakhani, Annika Hildebrandt, and James Weber. "Moderna: Democratizing Artificial Intelligence." Harvard Business School Case 625-070, 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
Ontra: Embracing GenAI in the Legal Technology Industry
By: Christopher Stanton and George Gonzalez
Ontra built a network of legal professionals to enable financial institutions to outsource contract negotiations. The rise of generative AI inspired the company to build software solutions to streamline its processes through automation. Now company leadership must... View Details
Keywords: Transformation; AI and Machine Learning; Applications and Software; Organizational Change and Adaptation; Organizational Culture; Business Strategy; Technology Industry; Legal Services Industry; United States
Stanton, Christopher, and George Gonzalez. "Ontra: Embracing GenAI in the Legal Technology Industry." Harvard Business School Case 825-076, January 2025.
- January 2025
- Case
GE Appliances 2025: Energizing Change
By: Rosabeth Moss Kanter and Jacob A. Small
At the turn of 2025, Kevin Nolan, CEO of GE Appliances following its acquisition by Chinese appliance giant Haier in 2016, is reviewing progress toward his net zero carbon vision for homes, which would otherwise exacerbate the global warming climate crisis. An... View Details
Keywords: Mergers and Acquisitions; Transformation; Climate Change; Environmental Sustainability; Technological Innovation; Leading Change; Product Development; Organizational Culture
Kanter, Rosabeth Moss, and Jacob A. Small. "GE Appliances 2025: Energizing Change." Harvard Business School Case 325-089, January 2025.
- January 2025
- Case
A Tiger in the Tank: Exxon Sues Investors
By: Clayton S. Rose, Sarah Sasso and James Weber
In June 2024, investors were trying to make sense of ExxonMobil’s (Exxon) lawsuit against two impact investors, Arjuna Capital (Arjuna) and Follow This, that had just been dismissed by the U.S. District Court of Northern Texas. Exxon’s suit challenged the rights of two... View Details
Keywords: Disruption; Talent and Talent Management; Customer Satisfaction; Decision Making; Demographics; Ethics; Corporate Accountability; Employees; Recruitment; Retention; Leadership; Crisis Management; Risk Management; Corporate Social Responsibility and Impact; Mission and Purpose; Organizational Change and Adaptation; Civil Society or Community; Social Issues; Adaptation; Investment Activism; Lawsuits and Litigation; Business and Shareholder Relations; Medical Devices and Supplies Industry; Health Industry; Energy Industry; United States; Netherlands; Norway
Rose, Clayton S., Sarah Sasso, and James Weber. "A Tiger in the Tank: Exxon Sues Investors." Harvard Business School Case 325-015, January 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
Real Madrid Club de Fútbol
By: Anita Elberse, Juan Pasquín and Íñigo Pasquín
On June 1, 2024, Spanish soccer club Real Madrid captures its fifteenth Champions League title—more than double the tally of the nearest competitor. Under Florentino Pérez’s leadership, the club has now won six of the last eleven UEFA Champions League titles, and has... View Details
Keywords: Soccer; Football; Entertainment; Media; Talent Management; Superstars; General Management; Sports; Marketing; Recruitment; Competitive Strategy; Growth and Development Strategy; Sports Industry; Entertainment and Recreation Industry; Media and Broadcasting Industry
Elberse, Anita, Juan Pasquín, and Íñigo Pasquín. "Real Madrid Club de Fútbol." Harvard Business School Case 525-026, January 2025.
- 2025
- Working Paper
Causes and Extent of Increasing Partisan Segregation in the U.S. – Evidence from Migration Patterns of 212 Million Voters
By: Jacob R. Brown, Enrico Cantoni, Vincent Pons and Emilie Sartre
Using data on the residential location and migration for every voter in U.S. states recording partisan registration between 2008–2020, we find that residential segregation between Democrats and Republicans has increased year over year at all geographic levels, from... View Details
Brown, Jacob R., Enrico Cantoni, Vincent Pons, and Emilie Sartre. "Causes and Extent of Increasing Partisan Segregation in the U.S. – Evidence from Migration Patterns of 212 Million Voters." NBER Working Paper Series, No. 33422, January 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
Enterprise Resource Planning (ERP) System Implementations and Corporate Misconduct
By: Jonas Heese and Joseph Pacelli
This study examines whether enterprise resource planning (ERP) implementations are associated with reductions in corporate misconduct. Specifically, we study the relation between staggered facility-level rollouts of ERP systems and facility-level regulatory violations... View Details
Heese, Jonas, and Joseph Pacelli. "Enterprise Resource Planning (ERP) System Implementations and Corporate Misconduct." Accounting Review 100, no. 1 (January 2025): 291–315.
- 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.
- 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.
- 2025
- Working Paper
Too Much, Too Soon? Early Funding, Technological Unconventionality, and Innovation Capabilities
By: Harsh Ketkar and Maria Roche
The availability of financial resources significantly shapes firm innovation outcomes, especially for early-stage,
innovation-focused technology firms. However, prior research has provided conflicting findings about this
relationship: On the one hand, resource... View Details
Keywords: Startups; Technology Strategy; Novelty; Unconventionality; Resource Constraints; Early Stage Firms; Business Startups; Technological Innovation; Entrepreneurial Finance
Ketkar, Harsh, and Maria Roche. "Too Much, Too Soon? Early Funding, Technological Unconventionality, and Innovation Capabilities." Harvard Business School Working Paper, No. 25-032, December 2024. (Revised February 2025.)
- December 2024
- Case
AC Milan
By: Anita Elberse
In April 2024, Giorgio Furlani is nearing the end of his first full season as chief executive officer of Italian soccer club AC Milan. A Harvard Business School Class of 2007 graduate with a finance background, Furlani was appointed by RedBird Capital Partners’ founder... View Details
Keywords: Sports; Soccer; Football; Entertainment; Media; Talent Management; Superstars; Marketing; Strategy; General Management; Mergers and Acquisitions; Leadership; Business Strategy; Competitive Strategy; Business or Company Management; Sports Industry; Milan
Elberse, Anita. "AC Milan." Harvard Business School Case 525-025, December 2024.
- 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.)
- December 2024
- Case
Blue Cross Blue Shield of Michigan (BCBSM): The AI Journey
By: Shikhar Ghosh
In early 2024, Bill Fandrich, Executive VP and CIO of Blue Cross Blue Shield of Michigan (BCBSM), faced a critical decision about AI adoption within the organization. Fandrich had championed AI implementation at BCBSM. After successfully developing three AI... View Details
Keywords: Blue Cross; Automation; Generative Ai; Health Insurance; Insurance Companies; Innovation; IT Strategy; Organizational Transformations; Technology; Non-profit; AI and Machine Learning; Health; Digital Strategy; Digital Transformation; Leadership; Technology Adoption; Job Cuts and Outsourcing; Innovation Strategy; Health Industry; Insurance Industry; Michigan
Ghosh, Shikhar. "Blue Cross Blue Shield of Michigan (BCBSM): The AI Journey." Harvard Business School Case 825-082, December 2024.
- 2024
- Working Paper
Displacement or Complementarity? The Labor Market Impact of Generative AI
By: Wilbur Xinyuan Chen, Suraj Srinivasan and Saleh Zakerinia
Generative AI is poised to reshape the labor market, affecting cognitive and white-collar occupations in ways distinct from past technological revolutions. This study examines whether generative AI displaces workers or augments their jobs by analyzing labor demand and... View Details
Keywords: Generative Ai; Labor Market; Automation And Augmentation; Labor; AI and Machine Learning; Competency and Skills
Chen, Wilbur Xinyuan, Suraj Srinivasan, and Saleh Zakerinia. "Displacement or Complementarity? The Labor Market Impact of Generative AI." Harvard Business School Working Paper, No. 25-039, December 2024.
- December 2024
- Article
Public Attitudes on Performance for Algorithmic and Human Decision-Makers
By: Kirk Bansak and Elisabeth Paulson
This study explores public preferences for algorithmic and human decision-makers (DMs) in high-stakes contexts, how these preferences are shaped by performance metrics, and whether public evaluations of performance differ depending on the type of DM. Leveraging a... View Details
Bansak, Kirk, and Elisabeth Paulson. "Public Attitudes on Performance for Algorithmic and Human Decision-Makers." PNAS Nexus 3, no. 12 (December 2024).
- December 2024
- Article
Respect for Improvements and Comparative Statics in Matching Markets
One of the oldest results in the theory of two-sided matching is the entry comparative static, which shows that under the Gale–Shapley deferred acceptance algorithm, adding a new agent to one side of the market makes all the agents on the other side weakly... View Details
Kominers, Scott Duke. "Respect for Improvements and Comparative Statics in Matching Markets." Journal of Mechanism and Institution Design 9, no. 1 (December 2024): 83–104.
- 2025
- Working Paper
Why Most Resist AI Companions
By: Julian De Freitas, Zeliha Oğuz-Uğuralp, Ahmet Kaan Uğuralp and Stefano Puntoni
AI companion applications—designed to serve as synthetic interaction partners—have recently
become capable enough to reduce loneliness, a growing public health concern. However,
behavioral research has yet to fully explain the barriers to adoption of such AI and... View Details
Keywords: Generative Ai; Chatbots; Artificial Intelligence; Algorithmic Aversion; Lonelines; Technology Adoption; AI and Machine Learning; Well-being; Emotions
De Freitas, Julian, Zeliha Oğuz-Uğuralp, Ahmet Kaan Uğuralp, and Stefano Puntoni. "Why Most Resist AI Companions." Harvard Business School Working Paper, No. 25-030, December 2024. (Revised May 2025.)