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- March–April 2025
- Article
Getting Value from Digital Technologies
By: Frank Cespedes and Georg Krentzel
Companies need digital technologies in an omni-channel buying world where online and in-person interactions are complements, not either/or substitutes. Multi-channel hybrid sales solutions are required, but what are the key requirements for using the available... View Details
Cespedes, Frank, and Georg Krentzel. "Getting Value from Digital Technologies." European Business Review (March–April 2025): 6–9.
- March 2025
- Case
Niramai: An AI Solution to Save Lives
By: Rembrand Koning, Maria P. Roche and Kairavi Dey
Founded in 2017, Niramai developed Thermalytix, a breast cancer screening tool. Thermalytix used a high-resolution thermal sensing device and machine learning algorithms to analyze thermal images and detect tumors. Its patented solution leveraged big data analytics,... View Details
- March 2025
- Supplement
Wasabi Technologies (B)
By: Lou Shipley and Stacy Straaberg
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 four-year-old venture rapidly. Wasabi had so far focused... View Details
Keywords: Information Management; Sales; Product Development; Growth and Development Strategy; Business Strategy; Information Technology Industry; United States; Massachusetts; Boston
Shipley, Lou, and Stacy Straaberg. "Wasabi Technologies (B)." Harvard Business School Supplement 825-035, March 2025.
- 2025
- Working Paper
Transferability MATTRs: Towards Understanding Antecedents of Strategic Licensing
By: Dafna F. Bearson and Maria P. Roche
This paper examines the antecedents of firms’ decisions to license intellectual property
(IP). We propose a conceptual framework emphasizing two critical factors: (1) transferability,
which we define as the ease of moving knowledge embodied in inventions across
firm... View Details
Bearson, Dafna F., and Maria P. Roche. "Transferability MATTRs: Towards Understanding Antecedents of Strategic Licensing." Harvard Business School Working Paper, No. 25-042, March 2025.
- 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
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 four-year-old venture rapidly. Wasabi had so far focused... 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).
- 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
Srinivasan, Suraj, Charles Krumholz, and Radhika Kak. "Harvey: AI for Lawyers." Harvard Business School Case 125-087, March 2025.
- 2025
- Working Paper
Methane Abatement Costs in the Oil and Gas Industry: Survey and Synthesis
By: Joseph E. Aldy, Forest Reinhardt and Robert N. Stavins
There is growing recognition of the relative importance of anthropogenic emissions of methane as a contributor to global climate change. An important source of such emissions in some countries, including the United States, is the oil and gas (O&G) sector. This points... View Details
Keywords: Emission Reduction; Environmental Sustainability; Climate Change; Pollutants; Energy Industry
Aldy, Joseph E., Forest Reinhardt, and Robert N. Stavins. "Methane Abatement Costs in the Oil and Gas Industry: Survey and Synthesis." NBER Working Paper Series, No. 33564, 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; 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
Doing Business in Casablanca, Morocco
By: Karen G. Mills, Ahmed Dahawy and Choetsow Tenzin
This case examines the challenges and opportunities of doing business in Morocco. The case explores the various historical, cultural, and social factors that impact the business environment. It also highlights Morocco’s unique economy where cash remains a dominant... View Details
- 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
- 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: Valeria Fedyk, Daniel Rabetti and Stella Kong
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
Keywords: AI and Machine Learning
Fedyk, Valeria, Daniel Rabetti, and Stella Kong. "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; Innovation and Invention; 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; Auto Industry; Auto Industry; Auto Industry; Auto 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; Innovation and Invention; 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; Auto Industry; Auto Industry; Auto Industry; Auto 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.
- 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).