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- July–August 2025
- Article
Case Study: Do We Reskill or Replace Our Workforce?
By: William Kerr
To remain competitive in the internet-of-things era, should the CEO of SolidTech Innovations, a fictional elevator company, invest a lot of money in reskilling its entire staff? The industry is moving from hardware to software in the form of smart, connected elevators.... View Details
Kerr, William. "Case Study: Do We Reskill or Replace Our Workforce?" Harvard Business Review 103, no. 4 (July–August 2025): 141–145.
- July 18, 2025
- Article
Using Gen AI for Early-Stage Market Research
By: James Brand, Ayelet Israeli and Donald Ngwe
Generative AI, particularly large language models (LLMs), offers a promising new tool for early-stage market research by simulating customer responses to product concepts. This can allow companies to draw conclusions similar to those they’d obtain by survey customers... View Details
Keywords: Large Language Models; Large Language Model; Generative Ai; Artificial Intelligence; Market Research; Research; Marketing; AI and Machine Learning; Analytics and Data Science; Analysis; Customers; Consumer Behavior; Technology Industry; Information Technology Industry
Brand, James, Ayelet Israeli, and Donald Ngwe. "Using Gen AI for Early-Stage Market Research." Harvard Business Review (website) (July 18, 2025).
- July 2025
- Article
Digital Lending and Financial Well-Being: Through the Lens of Mobile Phone Data
By: AJ Chen, Omri Even-Tov, Jung Koo Kang and Regina Wittenberg-Moerman
To mitigate information asymmetry about borrowers in developing economies, digital lenders use machine-learning algorithms and nontraditional data from borrowers’ mobile devices. Consequently, digital lenders have managed to expand access to credit for millions of... View Details
Keywords: Informal Economy; Digital Banking; Mobile Phones; Developing Countries and Economies; Mobile and Wireless Technology; AI and Machine Learning; Analytics and Data Science; Credit; Borrowing and Debt; Well-being; Banking Industry; Kenya
Chen, AJ, Omri Even-Tov, Jung Koo Kang, and Regina Wittenberg-Moerman. "Digital Lending and Financial Well-Being: Through the Lens of Mobile Phone Data." Accounting Review 100, no. 4 (July 2025): 135–159.
- July–August 2025
- Article
Don’t Let an AI Failure Harm Your Brand
How companies market their AI systems affects the repercussions they face when their products fail. Marketers must promote their AI products with potential failure in mind. To do that, they must first understand consumers’ unique attitudes toward AI. Marketers who... View Details
Keywords: AI and Machine Learning; Brands and Branding; Product Marketing; Consumer Behavior; Attitudes
De Freitas, Julian. "Don’t Let an AI Failure Harm Your Brand." Harvard Business Review 103, no. 4 (July–August 2025): 126–133.
- July 2025
- Case
The Future in Sight: LumineticsCore and the First Autonomous AI for Diagnostics
By: Michael Lingzhi Li and Tinglong Dai
After two decades of research, Dr. Michael Abramoff successfully launched LumineticsCore—the first autonomous AI system authorized by the FDA to diagnose diabetic retinopathy without physician oversight. The case traces his journey across algorithm design, clinical... View Details
- June 2025
- Case
Transforming a Titan (A)
By: George Serafeim and Lena Duchene
Dimitri Papalexopoulos, fourth-generation CEO of TITAN Cement, must decide whether to keep leading the 120-year-old, family-controlled firm or hand the reins to new management. Over 26 years he has turned TITAN from a domestic player into an internationally diversified... View Details
Keywords: AI; Artificial Intelligence; Digitalization; Digital; Family Firms; Leadership; Succession; Succession Planning; CEO Succession; CEO Role; Decarbonization; Resilience; Innovation; Organizational Transformations; AI and Machine Learning; Digital Strategy; Digital Transformation; Family Business; Family Ownership; Climate Change; Transformation; Crisis Management; Industrial Products Industry; Construction Industry; Greece; Europe; United States
- June 2025
- Case
Scale AI Scales Up
By: Boris Groysberg and Sarah L. Abbott
Scale AI, the data labeling and AI infrastructure company, had grown rapidly since it was founded in 2016; however, as Scale’s generative AI business was taking off, Alexandr Wang, Scale’s founder and CEO, became concerned that Scale was slowing down. Wang and the... View Details
Keywords: Artificial Intelligence; Technology And Innovation Management; Start-ups; Entrepreneur; Managing Growth; Hiring; Generative Ai; Data Labeling; Scale; AI and Machine Learning; Entrepreneurship; Talent and Talent Management; Growth Management; Leadership; Culture; Technology Industry; United States
- June 2025
- Case
Kevin Love and the Kevin Love Fund: Inspiring People to Live Their Healthiest Lives
By: Anita Elberse and Riyanka Ganguly
In March 2025, professional basketball player Kevin Love learned the latest numbers for what was to date the most eye-catching initiative of his foundation, the Kevin Love Fund: a mental health campaign revolving around a short, animated film—The Spider Within: A... View Details
- June 2025
- Case
Accounting for OpenAI at Microsoft
By: Jonas Heese, Joseph Pacelli, Nicole Zelazko and Michael Norris
In early 2025, Microsoft was evaluating the impact of its $14 billion investment in OpenAI. As OpenAI’s computing needs expanded, Microsoft positioned Azure as the exclusive provider for training and inference of their large language models. Despite the scale of the... View Details
- June 2025
- Case
TagHive: Edtech Pricing and Distributor Decisions
By: Isamar Troncoso, Frank V. Cespedes and Stacy Straaberg
Education technology (edtech) company TagHive, founded in 2017, used a direct sales team and third-party distributors to sell its Class Saathi hardware and software solution to 300 clients, mainly primary and secondary schools in India. The product aimed to improve... View Details
Keywords: Business Model; Marketing Channels; Marketing Strategy; Product Marketing; Social Marketing; Information Infrastructure; Information Technology; Internet and the Web; Mobile and Wireless Technology; Technology Adoption; Education; Teaching; Price; Customer Relationship Management; Customer Satisfaction; Growth and Development; Technological Innovation; Education Industry; Technology Industry; India; South Korea
Troncoso, Isamar, Frank V. Cespedes, and Stacy Straaberg. "TagHive: Edtech Pricing and Distributor Decisions." Harvard Business School Case 525-001, June 2025.
- June 10, 2025
- Article
Research: When Help Isn’t Helpful
By: Colin M. Fisher, Julianna Pillemer and Teresa M. Amabile
Asking for and receiving help at work can boost employees’ creativity, help them learn new skills, and strengthen their interpersonal ties. Yet a years-long study at a global design consultancy found that even in organizations with strong helping cultures, a... View Details
Fisher, Colin M., Julianna Pillemer, and Teresa M. Amabile. "Research: When Help Isn’t Helpful." Harvard Business Review Digital Articles (June 10, 2025).
- June 1, 2025
- Article
How Universities Die: It Has Happened Before in Centers of Learning Such as Berlin and Beijing. Is Boston Next?
By: William C. Kirby
Keywords: Business Admnistration; University; University Administration; Harvard University; Higher Education; History; Boston
Kirby, William C. "How Universities Die: It Has Happened Before in Centers of Learning Such as Berlin and Beijing. Is Boston Next?" Boston Globe (June 1, 2025), K1–K4.
- June 2025
- Article
Ideation with Generative AI—In Consumer Research and Beyond
By: Julian De Freitas, G. Nave and Stefano Puntoni
The use of large language models (LLMs) in consumer research is rapidly evolving, with applications including synthetic data generation, data analysis, and more. However, their role in creative ideation—a cornerstone of consumer research—remains underexplored. Drawing... View Details
De Freitas, Julian, G. Nave, and Stefano Puntoni. "Ideation with Generative AI—In Consumer Research and Beyond." Journal of Consumer Research 51, no. 1 (June 2025): 18–31.
- June 2025
- Article
Unregulated Emotional Risks of AI Wellness Apps
By: Julian De Freitas and Glenn Cohen
We propose that AI-driven wellness apps powered by large language models can foster extreme emotional attachments and dependencies akin to human relationships—posing risks like ambiguous loss and dysfunctional dependence—that challenge current regulatory frameworks and... View Details
De Freitas, Julian, and Glenn Cohen. "Unregulated Emotional Risks of AI Wellness Apps." Nature Machine Intelligence 7, no. 6 (June 2025): 813–815.
- May 2025 (Revised June 2025)
- Supplement
Michael Ku and Global Clinical Supply at Pfizer Inc.: Bringing Hope to Patients (D)
By: Linda A. Hill and Lydia Begag
This fourth installment in the Pfizer Global Clinical Supply (GCS) transformation case series highlights how over a decade of cultural and digital evolution positioned GCS to meet unprecedented global challenges. In 2011, Michael Ku became the Vice President of GCS and... View Details
Keywords: Innovation Leadership; Technological Innovation; Leadership Development; Leadership Style; Research and Development; Science-Based Business; Transformation; Health Pandemics; AI and Machine Learning; Analytics and Data Science; Digital Transformation; Leading Change; Product Launch; Supply Chain; Organizational Change and Adaptation; Alignment; Pharmaceutical Industry; Biotechnology Industry; Health Industry; United States; Asia; Europe; Latin America
Hill, Linda A., and Lydia Begag. "Michael Ku and Global Clinical Supply at Pfizer Inc.: Bringing Hope to Patients (D)." Harvard Business School Supplement 425-079, May 2025. (Revised June 2025.)
- May 2025
- Teaching Note
The VideaHealth AI Factory: CEO Florian Hillen on Speed, Scale, and Innovation
By: Tsedal Neeley
Teaching Note for HBS Case No. 425-720. Florian Hillen, co-founder and CEO of VideaHealth, a startup using artificial intelligence (AI) to detect dental conditions on x-rays, spent the early years of his company laying the groundwork for an AI factory. This AI factory,... View Details
- Working Paper
Shifting Work Patterns with Generative AI
By: Eleanor W. Dillon, Sonia Jaffe, Nicole Immorlica and Christopher T. Stanton
We present evidence on how generative AI changes the work patterns of knowledge workers using
data from a 6-month-long, cross-industry, randomized field experiment. Half of the 7,137 workers
in the study received access to a generative AI tool integrated into the... View Details
Dillon, Eleanor W., Sonia Jaffe, Nicole Immorlica, and Christopher T. Stanton. "Shifting Work Patterns with Generative AI." NBER Working Paper Series, No. 33795, May 2025. (Conditionally Accepted at American Economic Review: Insights .)
- 2024
- Case
EPCorp: Convincing the C-Suite
By: Jacob M. Cook
In EPCorp: Convincing the C-Suite, Shivani Bahl is attempting to sell EPCorp's CEO, Debbie Sullivan, on her ideas for not only a new website upgrade but also a more expansive vision on how data and Generative AI can be used to grow the company. Debbie is understandably... View Details
Cook, Jacob M. "EPCorp: Convincing the C-Suite." Harvard Business Publishing Case, 2024. (Quick Case.)
- 2025
- Working Paper
Race, Rental Yields, and Housing Decay in Manhattan
By: Tom Nicholas and Christophe Spaenjers
We develop a new dataset on real estate transactions in Manhattan (1912–1939), linked to federal Census records (1930 and 1940) and property images used for tax assessment purposes (around 1940 and 1980). We analyze investor returns and incentives to maintain... View Details
Keywords: Housing Markets; Rental Yields; Urban Decay; Manhattan; Race; Equality and Inequality; Investment Return; Motivation and Incentives; Real Estate Industry; New York (city, NY)
Nicholas, Tom, and Christophe Spaenjers. "Race, Rental Yields, and Housing Decay in Manhattan." Working Paper, May 2025.