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- All HBS Web
(9,319)
- Faculty Publications (3,744)
- March 2025
- Case
Xfund and Sam Altman: Finding Harvard’s Best Generative AI Founders
By: Suraj Srinivasan
On May 1, 2024, Xfund Managing Partners Patrick Chung and Brandon Farwell, hosted a high-stakes venture pitch session designed to select one startup for a minimum $100,000 investment. This “Xperiment Stake” competition, dedicated to startups in the Generative AI... View Details
- March 2025
- Teaching Plan
Wasabi Technologies (A) and (B)
By: N. Louis Shipley and Stacy Straaberg
Teaching Plan for HBS Case Nos. 823-021 and 825-035. Set in 2019, the “Wasabi Technologies (A)” case centers on Wasabi Technologies (Wasabi), a successful hot cloud storage company based in Boston, Massachusetts. Founder and CEO David Friend is ready to scale the... View Details
- March 2025
- Case
Metaphysic AI: Rethinking the Value of Human Expertise
By: Zoë B. Cullen, Shikhar Ghosh and Shweta Bagai
In early 2025, Thomas Graham, CEO of Metaphysic, a leading AI generative video company confronted fundamental questions about who should control digital identity in a world where AI could perfectly recreate human likeness. Founded in 2021, Metaphysic first rose to fame... View Details
Keywords: Business Model; Ethics; AI and Machine Learning; Intellectual Property; Rights; Negotiation; Value; Technology Industry; Technology Industry
Cullen, Zoë B., Shikhar Ghosh, and Shweta Bagai. "Metaphysic AI: Rethinking the Value of Human Expertise." Harvard Business School Case 825-146, March 2025.
- March 2025
- Case
Fostering Community at Airbnb (A)
By: Jeffrey T. Polzer, Heather Whiteman and Sarah Mehta
Set in November 2020, this case explores Airbnb’s efforts to foster a culture of belonging, particularly given the impact of the COVID-19 pandemic on the company’s workforce. It details how Airbnb used employee surveys and organizational network analysis (ONA)—a... View Details
- March 2025
- Supplement
Fostering Community at Airbnb (B)
By: Jeffrey T. Polzer, Heather Whiteman and Sarah Mehta
This case provides updates to “Fostering Community at Airbnb (A),” case no. 425-045. View Details
- March 10, 2025
- Article
How Gen AI Could Change the Value of Expertise
By: Joseph Fuller, Matt Sigelman and Michael Fenlon
In the near future, gen AI is likely to affect some 50 million jobs, automating away elements of some jobs and augmenting workers’ abilities in others. The extent of those changes will compel companies to reshape their organizational structures and rethink their talent... View Details
Keywords: AI and Machine Learning; Job Cuts and Outsourcing; Organizational Structure; Talent and Talent Management; Personal Development and Career
Fuller, Joseph, Matt Sigelman, and Michael Fenlon. "How Gen AI Could Change the Value of Expertise." Harvard Business Review (website) (March 10, 2025).
- 2025
- Working Paper
How to Choose Among Technologies with Learning Curves: Making Better Investment Decisions
By: Christian Kaps and Arielle Anderer
Learning curves, the fact that technologies improve as a function of cumulative experience or investment, are desirable-think inexpensive solar panels or higher performing semiconductors. But, for firms that need to pick one technology among several candidates, such as... View Details
Keywords: Learning Curve; Technology; Innovation; Batteries; Energy Storage; Sequential Decision Making; TELCO; Exploration; Exploitation; Problems and Challenges; Cost vs Benefits; Technology Adoption; Battery Industry
Kaps, Christian, and Arielle Anderer. "How to Choose Among Technologies with Learning Curves: Making Better Investment Decisions." Working Paper, March 2025.
- March 2025
- Case
Harvey: AI for Lawyers
By: Suraj Srinivasan, Charles Krumholz and Radhika Kak
In early 2025, Winston Weinberg and Gabe Pereyra, co-founders of Harvey AI, reflected on the company’s meteoric rise as a pioneer in AI-powered legal technology. Since its founding in 2022, Harvey had transformed how lawyers approached research, drafting, and document... View Details
Keywords: Innovation Strategy; Business Startups; AI and Machine Learning; Technological Innovation; Growth and Development Strategy; Product Positioning; Technology Industry; Technology Industry; New York (city, NY); San Francisco; London
Srinivasan, Suraj, Charles Krumholz, and Radhika Kak. "Harvey: AI for Lawyers." Harvard Business School Case 125-087, March 2025.
- 2025
- Working Paper
Incentive-Compatible Recovery from Manipulated Signals, with Applications to Decentralized Physical Infrastructure
By: Jason Milionis, Jens Ernstberger, Joseph Bonneau, Scott Duke Kominers and Tim Roughgarden
We introduce the first formal model capturing the elicitation of unverifiable information from a party (the "source") with implicit signals derived by other players (the "observers"). Our model is motivated in part by applications in decentralized physical... View Details
Milionis, Jason, Jens Ernstberger, Joseph Bonneau, Scott Duke Kominers, and Tim Roughgarden. "Incentive-Compatible Recovery from Manipulated Signals, with Applications to Decentralized Physical Infrastructure." Working Paper, March 2025.
- March 2025
- Article
Novice Risk Work: How Juniors Coaching Seniors on Emerging Technologies Such as Generative AI Can Lead to Learning Failures
By: Katherine C. Kellogg, Hila Lifshitz-Assaf, Steven Randazzo, Ethan Mollick, Fabrizio Dell'Acqua, Edward McFowland III, François Candelon and Karim R. Lakhani
The literature on communities of practice demonstrates that a proven way for senior professionals to upskill
themselves in the use of new technologies that undermine existing expertise is to learn from junior
professionals. It notes that juniors may be better able... View Details
Keywords: Rank and Position; Competency and Skills; Technology Adoption; Experience and Expertise; AI and Machine Learning
Kellogg, Katherine C., Hila Lifshitz-Assaf, Steven Randazzo, Ethan Mollick, Fabrizio Dell'Acqua, Edward McFowland III, François Candelon, and Karim R. Lakhani. "Novice Risk Work: How Juniors Coaching Seniors on Emerging Technologies Such as Generative AI Can Lead to Learning Failures." Art. 100559. Information and Organization 35, no. 1 (March 2025).
- February 2025
- Supplement
Intenseye: Powering Workplace Health and Safety with AI (B)
By: Michael W. Toffel, Shane Greenstein and Sadika El Hariri
Intenseye used its $25 million series A funds to refine and expand its digital safety platform while refining its target markets and ideal customer profile. As the company implemented new approaches to create value for its clients, such as developing an AI-powered... View Details
Keywords: Safety Performance; Occupational Safety; Innovation; Safety; Operations; Health; AI and Machine Learning; Analytics and Data Science; Digital Transformation; Supply Chain Management; Performance Improvement; Entrepreneurship; Product Development; Customer Relationship Management; Value Creation; Venture Capital; Growth and Development Strategy; Information Technology Industry; United States; Europe; Middle East; Turkey
Toffel, Michael W., Shane Greenstein, and Sadika El Hariri. "Intenseye: Powering Workplace Health and Safety with AI (B)." Harvard Business School Supplement 625-025, February 2025.
- February 2025
- Case
Fly, Fix, Fly at True Anomaly
By: Joshua Lev Krieger, Jim Matheson, Fiona Murray and David Allen
How should companies learn from failure? Founded by four U.S. Space Force warfighters, the tough tech startup True Anomaly wanted to compete with major defense contractors to supply the U.S. Department of Defense with satellites and software that could help protect... View Details
- 2025
- Working Paper
Blockchain-Induced Supply Chain Transparency and Firm Performance: The Role of Capacity Utilization
By: ShinWoo Lee Lee, Jedson Pinto, Daniel Rabetti and Gil Sadka
This study empirically investigates how blockchain adoption affects firm profitability. Employing a quasi-experimental design triggered by regulatory changes across the United States, we provide novel empirical evidence to recent theory, proposing that blockchain... View Details
Keywords: Blockchain; Supply Chain; Technology Adoption; Profit; Governing Rules, Regulations, and Reforms; United States
Lee, ShinWoo Lee, Jedson Pinto, Daniel Rabetti, and Gil Sadka. "Blockchain-Induced Supply Chain Transparency and Firm Performance: The Role of Capacity Utilization." Working Paper, February 2025.
- February 2025
- Teaching Note
India Stack: Digital Public Infrastructure for All
By: Tarun Khanna
Teaching Note for HBS Case No. 724-371. View Details
- 2025
- Working Paper
Is Love Blind? AI-Powered Trading with Emotional Dividends
By: De-Rong Kong and Daniel Rabetti
We leverage the non-fungible tokens (NFTs) setting to assess the valuation of emotional dividends (LOVE), a long-standing empirical challenge in private-value markets such as art, antiques, and collectibles. Having created and validated our proxy, we use deep learning... View Details
Kong, De-Rong, and Daniel Rabetti. "Is Love Blind? AI-Powered Trading with Emotional Dividends." Working Paper, February 2025.
- February 2025
- Case
Managing Complexity at mymuesli
By: Thomas Graeber and Stacy Straaberg
In April 2009, direct-to-consumer e-commerce muesli brand mymuesli faced a flood of customer questions. The breakfast cereal startup enabled users to order personalized muesli on its website by choosing from 75 organic ingredients for a total of 566 quadrillion... View Details
- 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; Green Technology Industry; Green Technology Industry; Green Technology Industry; Green Technology Industry; Green Technology Industry; France; Europe; China
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; Green Technology Industry; Green Technology Industry; Green Technology Industry; Green Technology Industry; Green Technology Industry; France; Europe; China
Truelove, Emily, Linda A. Hill, and Lydia Begag. "Luca de Meo at Renault Group (A) (Abridged)." Harvard Business School Case 425-067, February 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
Blockchain Adoption and Audit Quality
By: Mei Luo, Daniel Rabetti and Shuangchen Yu
This study examines the impact of blockchain adoption in the corporate setting. Specifically, we provide comprehensive empirical support to recent theory (Cao, Cong, and Young, 2024) proposing that blockchain adoption positively affects endogenous audit quality and... View Details
Keywords: Blockchain; Accounting Audits; Technology Adoption; Financial Reporting; Governing Rules, Regulations, and Reforms; China
Luo, Mei, Daniel Rabetti, and Shuangchen Yu. "Blockchain Adoption and Audit Quality." Working Paper, February 2025.