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- 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
- 2025
- Working Paper
The Cybernetic Teammate: A Field Experiment on Generative AI Reshaping Teamwork and Expertise
By: Fabrizio Dell'Acqua, Charles Ayoubi, Hila Lifshitz, Raffaella Sadun, Ethan Mollick, Lilach Mollick, Yi Han, Jeff Goldman, Hari Nair, Stew Taub and Karim R. Lakhani
We examine how artificial intelligence transforms the core pillars of collaboration—
performance, expertise sharing, and social engagement—through a pre-registered field
experiment with 776 professionals at Procter & Gamble, a global consumer packaged goods
company.... View Details
Keywords: Artificial Intelligence; Teamwork; Human-machine Interaction; Productivity; Skills; Innovation; Field Experiment
Dell'Acqua, Fabrizio, Charles Ayoubi, Hila Lifshitz, Raffaella Sadun, Ethan Mollick, Lilach Mollick, Yi Han, Jeff Goldman, Hari Nair, Stew Taub, and Karim R. Lakhani. "The Cybernetic Teammate: A Field Experiment on Generative AI Reshaping Teamwork and Expertise." Harvard Business School Working Paper, No. 25-043, 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.
- 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.
- January 2025
- Teaching Plan
Knowledge Transfer: Toyota, NUMMI, and GM
By: Willy Shih
Teaching Plan for HBS Case No. 625-003. New United Motors Manufacturing, Inc. (NUMMI) was a joint venture between Toyota and General Motors. It was an opportunity for GM to learn about the Toyota Production System, which was quite different from the mass production... View Details
Keywords: Culture Change; Organizational Culture; Organizational Change and Adaptation; Factories, Labs, and Plants; Joint Ventures; Transformation; Selection and Staffing; Knowledge Acquisition; Knowledge Sharing; Labor Unions; Management Systems; Performance Improvement; Production; Labor and Management Relations; Auto Industry; Japan; United States
- January 2025
- Case
Hebbia: Redefining Productivity for Knowledge Workers Using AI
By: Suraj Srinivasan and Minoshka Narayan
In early 2025, George Sivulka, founder and CEO of Hebbia, reflected on the company’s rapid ascent as a pioneer in GenAI-powered productivity tools for knowledge workers. With its proprietary technology, Hebbia had redefined information retrieval and analysis and earned... View Details
- January 2025
- Case
A Winning Strategy (A): Innovation in Olympic Speed Skating
By: Rebecca Karp, Maria Roche, Maisie Wiltshire-Gordon and Tom Quinn
This case describes two innovators in the Olympic sport of speed skating: the U.S. Men’s team, which devised a new approach to the team pursuit event following their disappointing performance in the 2018 Winter Olympics; and Nils van der Poel, a Swedish skater who... View Details
Keywords: Sports; Disruptive Innovation; Innovation Strategy; Competitive Strategy; Competitive Advantage; Knowledge Sharing; Sports Industry; United States; Sweden; Netherlands; Norway
Karp, Rebecca, Maria Roche, Maisie Wiltshire-Gordon, and Tom Quinn. "A Winning Strategy (A): Innovation in Olympic Speed Skating." Harvard Business School Case 725-391, January 2025.
- January–February 2025
- Article
Location-Specificity and Relocation Incentive Programs for Remote Workers
By: Thomaz Teodorovicz, Prithwiraj Choudhury and Evan Starr
The precipitous growth of remote work has given rise to a new phenomenon: the emergence of relocation incentive programs that localities use to compete for the physical presence of remote workers. Remote workers with high general human capital may create value for... View Details
Keywords: Remote Work; Motivation and Incentives; Geographic Location; Talent and Talent Management; Human Capital; Tulsa
Teodorovicz, Thomaz, Prithwiraj Choudhury, and Evan Starr. "Location-Specificity and Relocation Incentive Programs for Remote Workers." Organization Science 36, no. 1 (January–February 2025): 186–212.
- January–February 2025
- Article
The Double-Edged Sword of Exemplar Similarity
By: Majid Majzoubi, Eric Zhao, Tiona Zuzul and Greg Fisher
We investigate how a firm’s positioning relative to category exemplars shapes security analysts’ evaluations. Using a two-stage model of evaluation (initial screening and subsequent assessment), we propose that exemplar similarity enhances a firm’s recognizability and... View Details
Majzoubi, Majid, Eric Zhao, Tiona Zuzul, and Greg Fisher. "The Double-Edged Sword of Exemplar Similarity." Organization Science 36, no. 1 (January–February 2025): 121–144.
- December 5, 2024
- Article
A Consensus Definition of Creativity in Surgery: A Delphi Study Protocol
By: Alex Thabane, Tyler McKechnie, Phillip Staibano, Vikram Arora, Goran Calic, Jason W. Busse, Sameer Parpia and Mohit Bhandari
Introduction
Clear definitions are essential in science, particularly in the study of abstract phenomena like creativity. Due to its inherent complexity and domain-specific nature, the study of creativity has been complicated, as evidenced by the various... View Details
Clear definitions are essential in science, particularly in the study of abstract phenomena like creativity. Due to its inherent complexity and domain-specific nature, the study of creativity has been complicated, as evidenced by the various... View Details
Thabane, Alex, Tyler McKechnie, Phillip Staibano, Vikram Arora, Goran Calic, Jason W. Busse, Sameer Parpia, and Mohit Bhandari. "A Consensus Definition of Creativity in Surgery: A Delphi Study Protocol." PLoS ONE 19, no. 12 (December 5, 2024).
- 2024
- Article
Psychological Safety as an Enduring Resource amid Constraints
By: Hassina Bahadurzada, Amy C. Edmondson and Michaela J. Kerrissey
While psychological safety is recognized as valuable in healthcare, its relationship to resource constraints is not well understood. We investigate whether psychological safety mitigates the negative impact of resource constraints on employees. Leveraging longitudinal... View Details
Keywords: Burnout; Psychological Safety; Healthcare Administration; Health Care and Treatment; Employees; Retention; Well-being; Health Industry
Bahadurzada, Hassina, Amy C. Edmondson, and Michaela J. Kerrissey. "Psychological Safety as an Enduring Resource amid Constraints." Special Issue on Psychological Safety in Healthcare Settings. International Journal of Public Health 69 (2024).
- 2024
- Working Paper
Generative AI and the Nature of Work
By: Manuel Hoffmann, Sam Boysel, Frank Nagle, Sida Peng and Kevin Xu
Recent advances in artificial intelligence (AI) technology demonstrate considerable potential to
complement human capital intensive activities. While an emerging literature documents wide-ranging productivity
effects of AI, relatively little attention has been paid... View Details
Keywords: Generative Ai; Digital Work; Open Source Software; Knowledge Economy; AI and Machine Learning; Open Source Distribution; Organizational Structure; Performance Productivity; Labor
Hoffmann, Manuel, Sam Boysel, Frank Nagle, Sida Peng, and Kevin Xu. "Generative AI and the Nature of Work." Harvard Business School Working Paper, No. 25-021, October 2024.
- 2024
- Working Paper
Bank Capital and the Growth of Private Credit
By: Sergey Chernenko, Robert Ialenti and David Scharfstein
We show that business development companies (BDCs)—closed-end funds that provide a
significant share of nonbank loans to middle market firms—are very well capitalized according
to bank capital frameworks. They have median risk-based capital ratios of about 36%... View Details
Chernenko, Sergey, Robert Ialenti, and David Scharfstein. "Bank Capital and the Growth of Private Credit." Working Paper, October 2024.
- October 2024
- Article
Global Mobile Inventors
By: Dany Bahar, Prithwiraj Choudhury, Ernest Miguelez and Sara Signorelli
The number of Global Mobile Inventors (GMIs), inventors moving across borders during their
career, has increased more than tenfold over the past two decades, and the corridors of mobility
have shifted towards a growing presence of emerging markets. We document that... View Details
Bahar, Dany, Prithwiraj Choudhury, Ernest Miguelez, and Sara Signorelli. "Global Mobile Inventors." Art. 103357. Journal of Development Economics 171 (October 2024).
- 2024
- Working Paper
Pitfalls of Demographic Forecasts of U.S. Elections
By: Richard Calvo, Vincent Pons and Jesse M. Shapiro
Many observers have forecast large partisan shifts in the US electorate based on demographic trends. Such forecasts are appealing because demographic trends are often predictable even over long horizons. We backtest demographic forecasts using data on US elections... View Details
Keywords: Mathematical Methods; Voting; Political Elections; Trends; Forecasting and Prediction; Demographics
Calvo, Richard, Vincent Pons, and Jesse M. Shapiro. "Pitfalls of Demographic Forecasts of U.S. Elections." NBER Working Paper Series, No. 33016, October 2024.
- September 2024
- Exercise
Finding Your 'Jagged Frontier': A Generative AI Exercise
By: Mitchell Weiss
In 2023 a set of scholars set out to study the effect of artificial intelligence (AI) on the quality and productivity of knowledge workers—in this specific instance, management consultants. They wanted to know across a range of tasks in a workflow, which, if any, would... View Details
Keywords: AI and Machine Learning; Performance Productivity; Performance Evaluation; Consulting Industry
Weiss, Mitchell. "Finding Your 'Jagged Frontier': A Generative AI Exercise." Harvard Business School Exercise 825-070, September 2024.
- September 2024 (Revised October 2024)
- Case
Anker Innovations (A)
By: Feng Zhu, Jiangyong Lu and Nancy Hua Dai
An Amazon-native brand, Anker is the world’s No. 1 mobile charging brand and a leading consumer electronics company. Over the years, Anker developed an effective model of proving new products online first by leveraging customer insights from its proprietary Voice of... View Details
Keywords: Decision Choices and Conditions; Product; Distribution; Product Launch; Electronics Industry; Consumer Products Industry
Zhu, Feng, Jiangyong Lu, and Nancy Hua Dai. "Anker Innovations (A)." Harvard Business School Case 625-057, September 2024. (Revised October 2024.)
- September 2024
- Supplement
Anker Innovations (B)
By: Feng Zhu, Jiangyong Lu and Nancy Hua Dai
An Amazon-native brand, Anker is the world’s No. 1 mobile charging brand and a leading consumer electronics company. Over the years, Anker developed an effective model of proving new products online first by leveraging customer insights from its proprietary Voice of... View Details
Keywords: Decision Choices and Conditions; Product; Distribution; Product Launch; Business Model; Electronics Industry; Consumer Products Industry
Zhu, Feng, Jiangyong Lu, and Nancy Hua Dai. "Anker Innovations (B)." Harvard Business School Supplement 625-058, September 2024.
- September 2024
- Article
Backstage Matters: Collective Energy and Information Sharing on Global Teams
By: Wenjie Ma, Leslie A. Perlow and Eunice Eun
It is well documented that information sharing – which is central to team effectiveness – is complicated by cultural and geographical factors. However, little is known about the process of information sharing between subgroups within global teams. Building on Goffman’s... View Details
Ma, Wenjie, Leslie A. Perlow, and Eunice Eun. "Backstage Matters: Collective Energy and Information Sharing on Global Teams." Academy of Management Discoveries 10, no. 3 (September 2024): 463–487.
- 2024
- Working Paper
The New Digital Divide
By: Mayana Pereira, Shane Greenstein, Raffaella Sadun, Prasanna Tambe, Lucia Ronchi Darre, Tammy Glazer, Allen Kim, Rahul Dodhia and Juan Lavista Ferres
We build and analyze new metrics of digital usage that leverage telemetry data collected by Microsoft during operating system updates across forty million Windows devices in U.S. households. These measures of US household digital usage are much more comprehensive than... View Details
Keywords: Mathematical Methods; Measurement and Metrics; Geographic Location; Behavior; Technology Adoption; Demographics
Pereira, Mayana, Shane Greenstein, Raffaella Sadun, Prasanna Tambe, Lucia Ronchi Darre, Tammy Glazer, Allen Kim, Rahul Dodhia, and Juan Lavista Ferres. "The New Digital Divide." NBER Working Paper Series, No. 32932, September 2024.