Filter Results:
(7,388)
Show Results For
- All HBS Web
(28,892)
- Faculty Publications (7,388)
Show Results For
- All HBS Web
(28,892)
- Faculty Publications (7,388)
- October 2024 (Revised April 2025)
- Case
Nvidia
By: Andy Wu and Matt Higgins
This case study examines Nvidia's strategic pivot from gaming GPUs to becoming a leader in general-purpose computing and AI. It explores how Nvidia leveraged its GPU architecture to dominate the growing fields of data center acceleration and AI training, outpacing... View Details
- October 2024
- Case
Parexel: Scaling Up and Industry Dynamics
By: Regina E. Herzlinger and Ben Creo
Through the lens of biopharmaceutical contract research organization (CRO) PAREXEL, this case traces the evolution of the firm as it reinvents itself in response to the transformation of the CRO sector from a small, secondary cluster of firms into a major player with... View Details
- 2024
- Chapter
What Future for the Renminbi in the Global Monetary System?
By: Edoardo Campanella and Meg Rithmire
What is a realistic and positive outcome for US-China relations in the realm of global finance over the next ten years? While some policymakers, especially in the US, have feared that China holds ambitions for the renminbi (RMB) to replace the dollar as a global... View Details
Keywords: International Relations; Currency; Macroeconomics; Globalized Economies and Regions; China; United States
Campanella, Edoardo, and Meg Rithmire. "What Future for the Renminbi in the Global Monetary System?" Chap. 7 in U.S.-China Relations for the 2030s: Toward a Realistic Scenario for Coexistence, edited by Chris Chivvis, C. Fred Bergsten, Edoardo Campanella, John Culver, Rosemary Foot, M. Taylor Fravel, Eric Heginbotham, Evan S. Medeiros, Meg Rithmire, George Perkovich, Stephen M. Walt, Stephen Wertheim, and Audrye Wong, 67–78. Washington D.C.: Carnegie Endowment for International Peace, 2024.
- October 2024
- Technical Note
Prompt Engineering
By: Michael Parzen and Jo Ellery
This note covers the basics of prompt engineering, a key tool for making use of modern generative AI. We discuss the principles of prompt engineering and illustrate these principles with techniques for asking questions. We further list the types of prompts that can be... View Details
Parzen, Michael, and Jo Ellery. "Prompt Engineering." Harvard Business School Technical Note 625-056, October 2024.
- October 2024
- Case
EU's Digital Services Act and Digital Markets Act
By: David B. Yoffie and Sarah von Bargen
Since the early 2020s, the EU began passing regulations on digital platforms and their marketplaces. One of the first was the Digital Services Act package, consisting of the Digital Services Act (DSA) and the Digital Markets Act (DMA). These regulations were focused on... View Details
Keywords: Digital Platforms; E-commerce; Governing Rules, Regulations, and Reforms; Cybersecurity; European Union
Yoffie, David B., and Sarah von Bargen. "EU's Digital Services Act and Digital Markets Act." Harvard Business School Case 725-372, October 2024.
- October 2024
- Case
Reed Group and Succession in a Family Business: An Impossible Job to Fill?
By: Lauren H. Cohen and Tonia Labruyere
James Reed had taken over Reed Group, the recruitment and career services company his father had founded and built, in 1994. He was now reflecting on succession planning and other challenges that lay ahead: with no obvious choice among his family members, he needed to... View Details
Keywords: Charity; Succession Planning; Family Business; Values and Beliefs; Management Succession; Mission and Purpose; Family Ownership; Philanthropy and Charitable Giving; Family and Family Relationships; Recruitment; AI and Machine Learning; Employment Industry; United Kingdom; London
Cohen, Lauren H., and Tonia Labruyere. "Reed Group and Succession in a Family Business: An Impossible Job to Fill?" Harvard Business School Case 825-084, October 2024.
- October 2024 (Revised February 2025)
- Case
AI and Brand Management: Promises and Perils
By: Julian De Freitas and Elie Ofek
As AI gains traction across industries, companies anticipate that AI will revolutionize both backend processes and customer-facing interactions—with brands eager to leverage AI for tailored marketing materials and automated consumer engagements. Yet, despite a dramatic... View Details
Keywords: AI and Machine Learning; Brands and Branding; Reputation; Technology Adoption; Competitive Advantage
De Freitas, Julian, and Elie Ofek. "AI and Brand Management: Promises and Perils." Harvard Business School Case 525-021, October 2024. (Revised February 2025.)
- 2025
- Working Paper
Lessons from an App Update at Replika AI: Identity Discontinuity in Human-AI Relationships
By: Julian De Freitas, Noah Castelo, Ahmet Kaan Uğuralp and Zeliha Oğuz-Uğuralp
As consumers increasingly interact with AI applications specialized for social relationships, what
is the nature and depth of these relationships among actual users, and can company actions
influence these dynamics? We find that active users of the US-based AI... View Details
De Freitas, Julian, Noah Castelo, Ahmet Kaan Uğuralp, and Zeliha Oğuz-Uğuralp. "Lessons from an App Update at Replika AI: Identity Discontinuity in Human-AI Relationships." Harvard Business School Working Paper, No. 25-018, October 2024. (Revised May 2025.)
- 2025
- 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), a significant source of private credit, are very well capitalized according to bank capital frameworks. These types of private credit funds have median risk-based capital ratios of about 36%, which is 26 percentage... View Details
Chernenko, Sergey, Robert Ialenti, and David Scharfstein. "Bank Capital and the Growth of Private Credit." Working Paper, June 2025.
- September–October 2024
- Article
Boards Need a New Approach to Technology
By: Tarun Khanna, Mary C. Beckerle and Nabil Y. Sakkab
The boards of too many publicly traded companies are downright timid when considering matters involving science and technology. More often than not, they focus on security and digitization—a defensive posture that fails to consider the bigger opportunities emerging... View Details
Khanna, Tarun, Mary C. Beckerle, and Nabil Y. Sakkab. "Boards Need a New Approach to Technology." Harvard Business Review 102, no. 5 (September–October 2024): 128–137.
- October 2024
- Article
Canary Categories
By: Eric Anderson, Chaoqun Chen, Ayelet Israeli and Duncan Simester
Past customer spending in a category is generally a positive signal of future customer spending. We show that there exist “canary categories” for which the reverse is true. Purchases in these categories are a signal that customers are less likely to return to that... View Details
Keywords: Churn; Churn Management; Churn/retention; Assortment Planning; Retail; Retailing; Retailing Industry; Preference Heterogeneity; Assortment Optimization; Customers; Retention; Consumer Behavior; Forecasting and Prediction; Retail Industry
Anderson, Eric, Chaoqun Chen, Ayelet Israeli, and Duncan Simester. "Canary Categories." Journal of Marketing Research (JMR) 61, no. 5 (October 2024): 872–890.
- 2024
- Working Paper
Foreign Influence in U.S. Politics
By: Marco Grotteria, Max Miller and S. Lakshmi Naaraayanan
This paper investigates the informational role of lobbyists in the context of foreign lobbying in the United States. Using Department of Justice data on contacts between foreign governments and US legislators, we show that exogenous shocks to these connections... View Details
Grotteria, Marco, Max Miller, and S. Lakshmi Naaraayanan. "Foreign Influence in U.S. Politics." Working Paper, October 2024.
- 2025
- Working Paper
Global Evidence on Gender Gaps and Generative AI
By: Nicholas G. Otis, Solène Delecourt, Katelynn Cranney and Rembrand Koning
Generative AI has the potential to transform productivity and reduce inequality, but only if adopted broadly. In this paper, we show that recently identified gender gaps in generative AI use are nearly universal. Synthesizing data from 18 studies covering more than... View Details
Otis, Nicholas G., Solène Delecourt, Katelynn Cranney, and Rembrand Koning. "Global Evidence on Gender Gaps and Generative AI." Harvard Business School Working Paper, No. 25-023, October 2024. (Revised January 2025.)
- 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).
- October 2024
- Article
How to Use Sales Assessments
Judging a person’s fit for a sales job is complex, and research shows that managers greatly overrate their ability to predict someone’s performance on the basis of interviews. Hence, using assessments is a growing trend in sales hiring and training. This article... View Details
Cespedes, Frank V. "How to Use Sales Assessments." Top Sales Magazine (October 2024), 10–11.
- 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.
- October 2024
- Article
Racial Disparities in the Paycheck Protection Program
By: Sergey Chernenko and David Scharfstein
Using a large sample of Florida restaurants, we document significant racial disparities in borrowing through the Paycheck Protection Program (PPP) and investigate the causes of these disparities. Black-owned restaurants are 25% less likely to receive PPP loans.... View Details
Keywords: Discrimination; Paycheck Protection Program; Economic Injury Disaster Loans; Bank Lending; Nonbank Lending; Banks and Banking; Financing and Loans; Prejudice and Bias; Race
Chernenko, Sergey, and David Scharfstein. "Racial Disparities in the Paycheck Protection Program." Art. 103911. Journal of Financial Economics 160 (October 2024).
- October 2024
- Article
Racial Inequality in Organizations: A Systems Psychodynamic Perspective
By: Sanaz Mobasseri, William A. Kahn and Robin J. Ely
This paper uses systems psychodynamic concepts to develop theory about the persistence of racial inequality in U.S. organizations and to inform an approach for disrupting it. We treat White men as the dominant group and Black people as the archetypal subordinate group... View Details
Keywords: Equality and Inequality; Race; Prejudice and Bias; Organizational Culture; Gender; Power and Influence; Employees; Attitudes
Mobasseri, Sanaz, William A. Kahn, and Robin J. Ely. "Racial Inequality in Organizations: A Systems Psychodynamic Perspective." Academy of Management Review 49, no. 4 (October 2024): 718–745.
- Fall 2024
- Article
Redemption Mechanisms in Poison Pills: Evidence on Pill Design and Law Firm Effects
By: Olivier Baum and Guhan Subramanian
We present the first evidence on the incidence of “trip wire” versus “last look” poison pills. Using a hand-collected data set of 130 poison pills implemented and/or amended between January 1, 2020 and March 31, 2023, we find that pills are almost evenly divided... View Details
Baum, Olivier, and Guhan Subramanian. "Redemption Mechanisms in Poison Pills: Evidence on Pill Design and Law Firm Effects." Business Lawyer 79, no. 4 (Fall 2024): 1043–1069.
- October 2024
- Article
Sampling Bias in Entrepreneurial Experiments
By: Ruiqing Cao, Rembrand Koning and Ramana Nanda
Using data from a prominent online platform for launching new digital products, we document that ‘sampling bias’—defined as the difference between a startup’s target customer base and the actual sample on which early ‘beta tests’ are conducted—has a systematic and... View Details
Cao, Ruiqing, Rembrand Koning, and Ramana Nanda. "Sampling Bias in Entrepreneurial Experiments." Management Science 70, no. 10 (October 2024): 7283–7307.