Publications
Publications
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- All HBS Web
(6,987)
- Faculty Publications (1,903)
- January–February 2025
- Article
Why People Resist Embracing AI: The Five Main Obstacles—and How To Overcome Them
The success of AI depends not only on its capabilities, which are becoming more advanced each day, but on people’s willingness to harness them. Unfortunately, many people view AI negatively, fearing it will cause job losses, increase the likelihood that their personal... View Details
- December 2024
- Teaching Note
Assessing the Value of Unifying and De-duplicating Customer Data
By: Elie Ofek and Hema Yoganarasimhan
Teaching Note for HBS Case No. 525-023. View Details
- 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
- 2024
- Working Paper
Scaling Core Earnings Measurement with Large Language Models
By: Matthew Shaffer and Charles CY Wang
We study the application of large language models (LLMs) to the estimation of core earnings, i.e., a firm's persistent profitability from its core business activities. This construct is central to investors' assessments of economic performance and valuations. However,... View Details
- November 2024 (Revised January 2025)
- Case
MiDAS: Automating Unemployment Benefits
By: Shikhar Ghosh and Shweta Bagai
In 2015, the state of Michigan considered whether to nominate its Michigan Integrated Data Automated System (MiDAS) for a prestigious state technology award. Launched in 2013 amid severe budget pressures, the $47 million automated fraud detection system was designed to... View Details
Keywords: Artificial Intelligence; AI; Machine Learning Models; Algorithmic Data; Automation; Benefits; Compensation; Cost Reduction; Government; Fraud; Government Technology; Public Sector; Systems; Systems Integration; Unemployment Insurance; Waste Heat Recovery; AI and Machine Learning; Government Administration; Insurance; Decision Making; Digital Transformation; Employment; Public Administration Industry; United States; Michigan
- 2024
- Working Paper
A Gender Backlash: Does Exposure to Female Labor Market Participation Fuel Gender Conservatism?
By: Paula Rettl, Diane Bolet, Catherine E. De Vries, Simone Cremaschi, Tarik Abou-Chadi and Sergi Pardos-Prado
The growing participation of women in the labor market has marked a significant societal transformation, coinciding with the rise of gender conservatism and far-right support. We study whether the economic consequences of labor market feminization and gender backlash... View Details
- November 2024
- Case
Ather Energy: The Future of Mobility
By: Shunyuan Zhang, Kannan Srinivasan and Malini Sen
Ather Energy, India’s third-largest electric scooter maker by volume, was founded in 2013. Five years later, the start-up launched its first electric scooter, Ather 450, which was powered by artificial intelligence (AI) and the Internet of Things (IoT), to navigate... View Details
Keywords: Energy Policy; Climate Change; Alternative Energy; Corporate Entrepreneurship; Transportation; Transformation; Green Technology; Technology Adoption; Communication Strategy; Marketing Strategy; Customer Focus and Relationships; Business Startups; Growth and Development Strategy; Brands and Branding; Product Launch; Product Positioning; Business Strategy; Segmentation; Asia; India
- November–December 2024
- Article
Outcome-Driven Dynamic Refugee Assignment with Allocation Balancing
By: Kirk Bansak and Elisabeth Paulson
This study proposes two new dynamic assignment algorithms to match refugees and asylum seekers to geographic localities within a host country. The first, currently implemented in a multi-year pilot in Switzerland, seeks to maximize the average predicted employment... View Details
- November 2024
- Article
Perceptions About Monetary Policy
By: Michael D. Bauer, Carolin Pflueger and Adi Sunderam
We estimate perceptions about the Federal Reserve’s monetary policy rule from panel data on professional forecasts of interest rates and macroeconomic conditions. The perceived dependence of the federal funds rate on economic conditions varies substantially over time,... View Details
- 2024
- Article
Political Polarization and Finance
By: Elisabeth Kempf and Margarita Tsoutsoura
We review an empirical literature that studies how political polarization affects financial decisions. We first discuss the degree of partisan segregation in finance and corporate America, the mechanisms through which partisanship may influence financial decisions, and... View Details
- November 2024
- Article
Price Discounts and Cheapflation During the Post-Pandemic Inflation Surge
By: Alberto Cavallo and Oleksiy Kryvtsov
We study how within-store price variation changes with inflation, and whether households exploit it to attenuate the inflation burden. We use micro price data for food products sold by 91 large multi-channel retailers in ten countries between 2018 and 2024. Measuring... View Details
- Fall 2024
- Article
The Problem of Good Conduct Among Financial Advisers
By: Mark Egan, Gregor Matvos and Amit Seru
Households in the United States often rely on financial advisers for investment and savings decisions, yet there is a widespread perception that many advisers are dishonest. This distrust is not unwarranted: approximately one in fifteen advisers has a history of... View Details
- 2024
- Working Paper
How Do Global Portfolio Investors Hedge Currency Risk?
By: Robin Greenwood and Alex Cheema-Fox
We use monthly portfolio data from one of the world’s largest custodian banks, with over $40 trillion assets under custody, to study how global portfolio investors hedge foreign exchange risk in their equity and fixed income portfolios over the past 25 years. The data... View Details
- October 2024 (Revised February 2025)
- Case
Lanco Medical Group: Fostering Happiness for Growth
By: Susanna Gallani, Jenyfeer Martínez Buitrago and Katherine Sonnefeldt
This case describes how Lanco Medical Group, a fast-growing pharmaceutical distributor serving Latin America, approached the design of their employee benefits and incentives program. After learning about gaps between what leadership believed motivated employees and... View Details
- 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
- Background Note
The Semiconductor Industry
By: Andy Wu, Steve Blank and Matt Higgins
The semiconductor industry powers modern technology, from consumer electronics to data centers. This background note explores the layers of the semiconductor inudstry value chain, including Integrated Device Manufacturers (IDMs), fabless companies, and foundries, while... View Details
- 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
- 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
- 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
- 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