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- All HBS Web
(7,291)
- Faculty Publications (3,421)
- January 2025
- Case
Apax Partners: Deciding Whether to Bid for Trader Corp.
By: Benjamin C. Esty and Edward A. Meyer
Apax Partners’ investment committee was schedule to meet on March 21, 2011, to decide whether to invest in Trader Corporation, a Canadian classified advertising business for used automobiles with both print (magazines) and digital (website) distribution. What made this... View Details
Keywords: Value Creation; Network Effects; Private Equity; Growth Management; Digital Marketing; Business Strategy; Competitive Advantage; E-commerce; Valuation; Competition; Digital Platforms; Digital Strategy; Digital Transformation; Transition; Information Industry; Information Industry; Information Industry; Canada; United Kingdom; New York (state, US); New York (city, NY)
- January 2025
- Case
Cyber Oversight: SolarWinds Board of Directors
By: Lynn S. Paine
In 2020, just two years after its IPO, information technology company SolarWinds discovered that it was the victim of an attack on its information systems by Russian hackers. The incident, known as the Sunburst attack, was costly for the company, and certain... View Details
- 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.
- 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.
- January–February 2025
- Article
Why People Resist Embracing AI
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
De Freitas, Julian. "Why People Resist Embracing AI." Harvard Business Review 103, no. 1 (January–February 2025): 52–56.
- December 18, 2024
- Article
Is AI the Right Tool to Solve That Problem?
By: Paolo Cervini, Chiara Farronato, Pushmeet Kohli and Marshall W Van Alstyne
While AI has the potential to solve major problems, organizations embarking on such journeys of often encounter obstacles. They include a dearth of high-quality data; too many possible solutions; the lack of a clear, measurable objective; and difficulty in identifying... View Details
Cervini, Paolo, Chiara Farronato, Pushmeet Kohli, and Marshall W Van Alstyne. "Is AI the Right Tool to Solve That Problem?" Harvard Business Review (website) (December 18, 2024).
- December 2024 (Revised January 2025)
- Technical Note
A Guide to the Vocabulary, Evolution, and Impact of Artificial Intelligence (AI)
By: Shane Greenstein, Nathaniel Lovin, Scott Wallsten, Kerry Herman and Susan Pinckney
A note on the vocabulary, evolution, and impact of AI. View Details
Keywords: Artificial Intelligence; Software; AI and Machine Learning; Technology Adoption; Technological Innovation; Technology Industry
Greenstein, Shane, Nathaniel Lovin, Scott Wallsten, Kerry Herman, and Susan Pinckney. "A Guide to the Vocabulary, Evolution, and Impact of Artificial Intelligence (AI)." Harvard Business School Technical Note 625-039, December 2024. (Revised January 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: AI; Machine Learning; Blue Cross; Automation; Digital Strategy; Digital Transformation; Generative Ai; Health Insurance; Insurance Companies; Innovation; IT Strategy; Leadership; Organizational Transformations; Technology; Non-profit; Michigan; AI and Machine Learning; Health; Health Industry; Michigan
- 2024
- Working Paper
Charting (and Updating) the Path: A Bayesian Perspective on Entrepreneurial Learning
This chapter explores two distinct modes of entrepreneurial learning: assessing
venture viability and choosing between alternative development paths. It introduces
a framework for decomposing venture viability into technological feasibility, commercial
potential and... View Details
Krieger, Joshua L. "Charting (and Updating) the Path: A Bayesian Perspective on Entrepreneurial Learning." Harvard Business School Working Paper, No. 25-031, December 2024.
- December 2024
- Article
Coordinating the Energy Transition: Electrifying Transportation in California and Germany
By: Nicholas Goedeking and Jonas Meckling
California and Germany share ambitious emission reduction targets. Yet California is ahead of Germany in electrifying transportation by several metrics, including the number of public charging stations. We show that variation in the politics of coordination in... View Details
Keywords: Electric Vehicles; Coordination; Technology Adoption; Infrastructure; Transportation; Government and Politics; Energy; Utilities Industry; Germany; California
Goedeking, Nicholas, and Jonas Meckling. "Coordinating the Energy Transition: Electrifying Transportation in California and Germany." Art. 114321. Energy Policy 195 (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.
- November 2024
- Case
FedEx Cyberattack (A): Navigating the NotPetya Storm
By: Hise Gibson, Frank Nagle, Alicia Dadlani and Martha Hostetter
In 2017, FedEx’s European division — acquired the year before for $5 billion — was hit by a devastating cyberattack that destroyed thousands of computers and business systems across several countries. Corporate Chief Information Officer Rob Carter put the company’s... View Details
Gibson, Hise, Frank Nagle, Alicia Dadlani, and Martha Hostetter. "FedEx Cyberattack (A): Navigating the NotPetya Storm." Harvard Business School Case 625-049, November 2024.
- 2024
- Working Paper
Why Most Resist AI Companions
By: Julian De Freitas, Zeliha Oğuz-Uğuralp, Ahmet Kaan Uğuralp and Stefano Puntoni
Chatbots are now able to form emotional relationships with people and alleviate loneliness—a growing public health concern. Behavioral research provides little insight into whether everyday people are likely to use these applications and why. We address this question... 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 January 2025.)
- November 2024
- Case
AlphaGo (A): Birth of a New Intelligence
By: Shikhar Ghosh and Shweta Bagai
This case, the first of a three-part series, traces DeepMind's evolution from its 2010 founding through its acquisition by Google in 2014. Often referred to as the "Apollo project" of artificial intelligence, DeepMind used games as a testing ground to develop AI... View Details
- November 2024
- Supplement
AlphaGo (B): Birth of a New Intelligence
By: Shikhar Ghosh and Shweta Bagai
This case, the second in a three-part series, explores DeepMind's evolution from developing game-specific AI to more generalized learning systems. Following AlphaGo's 2017 victory over the Go world champion, DeepMind introduced two revolutionary systems that eliminated... View Details
- November 2024
- Supplement
AlphaGo (C): Birth of a New Intelligence
By: Shikhar Ghosh and Shweta Bagai
This case, the final of a three-part series, explores DeepMind's pivotal transition from mastering games to solving real-world scientific challenges. In December 2020, DeepMind's AI system AlphaFold 2 achieved a breakthrough by solving protein folding—a 50-year-old... View Details
Keywords: AI; Artificial Intelligence; Machine Learning; Research; Autonomy; Deep Learning; Drug Discovery; Healthcare Innovation; Neural Networks; Information Technology; Research And Development; Scientific Research; Technology Startup; AI and Machine Learning; Technological Innovation; United States
- November 2024
- Case
Polish Agro: Where Do We Grow from Here?
By: Willy C. Shih, Lena Duchene and Daniela Beyersdorfer
By July 2024, Polish Agro had grown into one of Poland’s fastest-growing agribusinesses, with €230 million in revenue, 82 employees, and operations across Northern Poland. The company supported farmers with essential agricultural inputs like fertilizers and seeds,... View Details
Keywords: Plant-Based Agribusiness; Distribution; Volatility; Customer Focus and Relationships; Customer Value and Value Chain; Climate Change; Environmental Regulation; Profit; Trade; Digital Strategy; Innovation Strategy; Crisis Management; Growth and Development Strategy; Resource Allocation; Advertising; Brands and Branding; E-commerce; Business and Community Relations; Networks; Adaptation; Adoption; Competitive Advantage; Business Model; Health Pandemics; War; Agriculture and Agribusiness Industry; Europe; Poland
- November 2024
- Teaching Note
Mercado Bitcoin: M&A, IPO, or Series B?
By: Raymond Kluender, Emanuele Colonnelli and Sabrina Howell
Teaching Note for HBS Case No. 825-047. In April 2021, Brazilian cryptocurrency platform Mercado Bitcoin, had to decide how to scale: go public, M&A with a bank, or take a VC big check. In a highly volatile market, Roberto Dagnoni, chairman of the board, viewed the... View Details
Keywords: Cryptocurrency; Mergers and Acquisitions; Business Growth and Maturation; Business Startups; Decision Making; Going Public; Ownership Stake; Strategic Planning; Venture Capital; Problems and Challenges; Business Cycles; Digital Platforms; Emerging Markets; Market Timing; Expansion; Diversification; Valuation; Value Creation; Investment Funds; Initial Public Offering; Price; Price Bubble; Negotiation Offer; Information Technology Industry; Information Technology Industry; Brazil; Latin America
- November 2024 (Revised January 2025)
- Case
MiDAS: Automating Unemployment Benefits
By: Shikhar Ghosh and Shweta Bagai
In 2015, the state of Michigan considered whether to nominate its Michigan Integrated Data Automated System (MiDAS) for a prestigious state technology award. Launched in 2013 amid severe budget pressures, the $47 million automated fraud detection system was designed to... View Details
Keywords: Artificial Intelligence; AI; Machine Learning Models; Algorithmic Data; Decision Making; Automation; Benefits; Compensation; Cost Reduction; Digital Transformation; Employment; Government; Fraud; Government Technology; Public Sector; Systems; Systems Integration; Unemployment Insurance; Waste Heat Recovery; AI and Machine Learning; Government Administration; Information Technology; Insurance; United States