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- All HBS Web
(3,654)
- Faculty Publications (617)
- October 10, 2024
- Article
Characteristics of Creative Individuals: An Umbrella Review Protocol
By: Alex Thabane, Tyler McKechnie, Phillip Staibano, Goran Calic, Colin Kruse, Jason W. Busse, Samee Parpia and Mohit Bhandari
The properties of creative products–novelty and usefulness–are generally agreed upon by researchers. Yet, consensus is lacking on which personal and environmental factors contribute to an individual’s creative potential, or to what extent. substantial research work has... View Details
Thabane, Alex, Tyler McKechnie, Phillip Staibano, Goran Calic, Colin Kruse, Jason W. Busse, Samee Parpia, and Mohit Bhandari. "Characteristics of Creative Individuals: An Umbrella Review Protocol." PLoS ONE 19, no. 10 (October 10, 2024).
- September–October 2024
- Article
The Art of Leading Teammates
By: Tom Brady and Nitin Nohria
When our society talks about leaders, we focus on formal roles, such as the CEO. This view undervalues the role of informal leaders—team members who influence outcomes by the tone they set, how they conduct themselves, and how they interact with their peers. Their job... View Details
Brady, Tom, and Nitin Nohria. "The Art of Leading Teammates." Harvard Business Review 102, no. 5 (September–October 2024): 62–69.
- September 2024
- Exercise
Assessing the Value of Unifying and De-Duplicating Customer Data
By: Elie Ofek and Hema Yoganarasimhan
This exercise provides an opportunity for students to gain hands on experience with assessing the value of unifying various customer databases that a firm may have (e.g., across the different brands it markets) and of properly identifying customers to avoid duplication... View Details
Keywords: Customer Relationship Management; Measurement and Metrics; Analytics and Data Science; Value
Ofek, Elie, and Hema Yoganarasimhan. "Assessing the Value of Unifying and De-Duplicating Customer Data." Harvard Business School Exercise 525-023, September 2024.
- 2024
- Working Paper
Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python
By: Melissa Ouellet and Michael W. Toffel
This paper describes a range of best practices to compile and analyze datasets, and includes some examples in Stata, R, and Python. It is meant to serve as a reference for those getting started in econometrics, and especially those seeking to conduct data analyses in... View Details
Keywords: Empirical Methods; Empirical Operations; Statistical Methods And Machine Learning; Statistical Interferences; Research Analysts; Analytics and Data Science; Mathematical Methods
Ouellet, Melissa, and Michael W. Toffel. "Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python." Harvard Business School Working Paper, No. 25-010, August 2024.
- 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.
- September–October 2024
- Article
Where Data-Driven Decision-Making Can Go Wrong
By: Michael Luca and Amy C. Edmondson
When considering internal data or the results of a study, often business leaders either take the evidence presented as gospel or dismiss it altogether. Both approaches are misguided. What leaders need to do instead is conduct rigorous discussions that assess any... View Details
Luca, Michael, and Amy C. Edmondson. "Where Data-Driven Decision-Making Can Go Wrong." Harvard Business Review 102, no. 5 (September–October 2024): 80–89.
- August 2024
- Case
Ashesi University: The Journey from Vision to Reality
By: Ranjay Gulati and Caroline de Lacvivier
In 1997, Patrick Awuah had a dream: to bring liberal arts education to Ghana. Amid the country’s declining economy and pervasive corruption problems, Awuah saw education as an opportunity to reverse its fortunes by investing in the next generation of African leaders.... View Details
Keywords: Developing Countries and Economies; Higher Education; Entrepreneurship; Leadership Development; Growth Management; Mission and Purpose; Private Ownership; Education Industry; Ghana
Gulati, Ranjay, and Caroline de Lacvivier. "Ashesi University: The Journey from Vision to Reality." Harvard Business School Case 425-032, August 2024.
- 2024
- Article
Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules
By: Michael Lingzhi Li and Kosuke Imai
A century ago, Neyman showed how to evaluate the efficacy of treatment using a randomized experiment under a minimal set of assumptions. This classical repeated sampling framework serves as a basis of routine experimental analyses conducted by today’s scientists across... View Details
Li, Michael Lingzhi, and Kosuke Imai. "Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules." Journal of Causal Inference 12, no. 1 (2024).
- Winter 2024
- Article
Return to Office Decisions: A Culture Question?
By: Yo-Jud Cheng and Boris Groysberg
Company culture is an important source of competitive advantage and differentiation. Even in times of
crisis, leaders must attend to their company’s culture, designing it in alignment with their strategy and
priorities. One of the most consequential decisions
that... View Details
Cheng, Yo-Jud, and Boris Groysberg. "Return to Office Decisions: A Culture Question?" Management and Business Review 4, no. 1 (Winter 2024): 8–15.
- July 2024
- Technical Note
Intellectual Property in Tough Tech Ventures
By: Joshua Lev Krieger, Jim Matheson, Russ Wilcox and Mel Martin
This note explains the crucial role of intellectual property rights (IPR), particularly patents, in the success of tough tech ventures (TTVs). It outlines the patent system's mechanics, emphasizing utility patents and their requirements for novelty, non-obviousness,... View Details
Keywords: Intellectual Property
Krieger, Joshua Lev, Jim Matheson, Russ Wilcox, and Mel Martin. "Intellectual Property in Tough Tech Ventures." Harvard Business School Technical Note 825-045, July 2024.
- July 10, 2024
- Article
Designing a Successful Reskilling Program
In this article, written as a follow up to the award-winning “Reskilling in the Age of AI”, the authors report the results of a reskilling survey that they conducted with chief human resource officers from approximately 1,200 organizations in the U.S., along with... View Details
Tamayo, Jorge, Leila Doumi, Sagar Goel, Orsolya Kovács-Ondrejkovic, and Raffaella Sadun. "Designing a Successful Reskilling Program." Harvard Business Review (website) (July 10, 2024).
- 2024
- Working Paper
Digital Platforms 2.0: Learnings, Opportunities, and Challenges
By: Shrabastee Banerjee, Ishita Chakraborty, Hana Choi, Hannes Datta, Remi Daviet, Chiara Farronato, Minkyung Kim, Anja Lambrecht, Puneet Manchanda, Aniko Oery, Ananya Sen, Marshall W Van Alstyne, Prasad Vana, Kenneth C Wilbur, Xu Zhang and Bobby Zhou
Platform-based digital ecosystems form the backbone of our interactions with the Internet. Over the past decade, digital ecosystems have witnessed significant growth, both in terms of industry footprint and academic research. Yet, the challenges associated with their... View Details
Banerjee, Shrabastee, Ishita Chakraborty, Hana Choi, Hannes Datta, Remi Daviet, Chiara Farronato, Minkyung Kim, Anja Lambrecht, Puneet Manchanda, Aniko Oery, Ananya Sen, Marshall W Van Alstyne, Prasad Vana, Kenneth C Wilbur, Xu Zhang, and Bobby Zhou. "Digital Platforms 2.0: Learnings, Opportunities, and Challenges." Working Paper, June 2024.
- 2025
- Working Paper
The Value of Silence: The Effect of UMG’s Licensing Dispute with TikTok on Music Demand
By: Mengjie (Magie) Cheng, Elie Ofek and Hema Yoganarasimhan
Social media platforms like TikTok have transformed how music is discovered, consumed, and
monetized. This study examines the implications of the dispute between TikTok and Universal Music
Group (UMG), which resulted in UMG excluding its music from TikTok from... View Details
Keywords: Demand And Consumers; Monetization; Social Media; Revenue; Conflict and Resolution; Music Industry
Cheng, Mengjie (Magie), Elie Ofek, and Hema Yoganarasimhan. "The Value of Silence: The Effect of UMG’s Licensing Dispute with TikTok on Music Demand." Harvard Business School Working Paper, No. 25-014, July 2024. (Revised June 2025.)
- 2024
- Working Paper
Webmunk: A New Tool for Studying Online Behavior and Digital Platforms
By: Chiara Farronato, Andrey Fradkin and Chris Karr
Understanding the behavior of users online is important for researchers, policymakers, and private companies alike. But observing online behavior and conducting experiments is difficult without direct access to the user base and software of technology companies. We... View Details
Farronato, Chiara, Andrey Fradkin, and Chris Karr. "Webmunk: A New Tool for Studying Online Behavior and Digital Platforms." NBER Working Paper Series, No. 32694, July 2024.
- 2024
- Working Paper
Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization
This paper introduces Incrementality Representation Learning (IRL), a novel multitask representation learning framework that predicts heterogeneous causal effects of marketing interventions. By leveraging past experiments, IRL efficiently designs and targets... View Details
Keywords: Heterogeneous Treatment Effect; Multi-task Learning; Representation Learning; Personalization; Promotion; Deep Learning; Field Experiments; Customer Focus and Relationships; Customization and Personalization
Huang, Ta-Wei, Eva Ascarza, and Ayelet Israeli. "Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization." Harvard Business School Working Paper, No. 24-076, June 2024.
- 2025
- Working Paper
Investor Influence on Media Coverage: Evidence from Venture Capital-Backed Startups
By: Brian K. Baik and Albert Shin
We examine whether and how investors influence media coverage of their private portfolio companies. Using a stacked difference-in-differences design, we find that media coverage of startups increases significantly following venture capital (VC) investment. The effect... View Details
Baik, Brian K., and Albert Shin. "Investor Influence on Media Coverage: Evidence from Venture Capital-Backed Startups." Harvard Business School Working Paper, No. 24-073, May 2024. (Revised April 2025.)
- June 2024
- Article
Oral History and Business History in Emerging Markets
By: Geoffrey Jones
This article describes the motivation, structure and use of the Creating Emerging Markets (CEM) oral history-based project at the Harvard Business School. The project consists of lengthy interviews with business leaders from emerging markets. By June 2024 183... View Details
Jones, Geoffrey. "Oral History and Business History in Emerging Markets." Investigaciones de historia económica 20, no. 2 (June 2024): 1–4.
- June 2024
- Article
Valuing the Societal Impact of Medicines and Other Health Technologies: A User Guide to Current Best Practices
By: Jason Shafrin, Jaehong Kim, Joshua T. Cohen, Louis P. Garrison, Dana A. Goldman, Jalpa A. Doshi, Joshua Krieger, Darius N. Lakdawalla, Peter J. Neumann, Charles E. Phelps, Melanie D. Whittington and Richard Willke
This study argues that value assessment conducted from a societal perspective should rely on the Generalized Cost-Effectiveness Analysis (GCEA) framework proposed herein. Recently developed value assessment inventories—such as the Second Panel on Cost-Effectiveness’s... View Details
Shafrin, Jason, Jaehong Kim, Joshua T. Cohen, Louis P. Garrison, Dana A. Goldman, Jalpa A. Doshi, Joshua Krieger, Darius N. Lakdawalla, Peter J. Neumann, Charles E. Phelps, Melanie D. Whittington, and Richard Willke. "Valuing the Societal Impact of Medicines and Other Health Technologies: A User Guide to Current Best Practices." Forum of Health Economics and Policy 27, no. 1 (June 2024): 29–116.
- 2024
- Working Paper
The Effects of Medical Debt Relief: Evidence from Two Randomized Experiments
By: Raymond Kluender, Neale Mahoney, Francis Wong and Wesley Yin
Two in five Americans have medical debt, nearly half of whom owe at least $2,500. Concerned by this burden, governments and private donors have undertaken large, high-profile efforts to relieve medical debt. We partnered with RIP Medical Debt to conduct two randomized... View Details
Kluender, Raymond, Neale Mahoney, Francis Wong, and Wesley Yin. "The Effects of Medical Debt Relief: Evidence from Two Randomized Experiments." NBER Working Paper Series, No. 32315, April 2024.
- March 2024 (Revised June 2025)
- Teaching Note
CoPilot(s): Generative AI at Microsoft and GitHub
By: Frank Nagle and Maria P. Roche
This teaching note is the companion to case N9-624-010 CoPilot(s): Generative AI at Microsoft and GitHub, which takes place in late 2021. The case briefly describes the history of both GitHub and Microsoft with a particular focus on open source software (OSS)—software... View Details