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- January 2025 (Revised April 2025)
- Case
Blue Frontier: Disrupting Air Conditioning
By: Rosabeth Moss Kanter and Jacob A. Small
Serial entrepreneur Daniel Betts founded Blue Frontier in South Florida to offer a climate-friendly solution to increase air conditioning efficiency and dehumidify using new technology he developed. Backed by significant venture capital, Blue Frontier had to choose... View Details
- January 2025
- Case
Redwood & Strong: The Value of a Consulting Engagement
By: David G. Fubini and Patrick Sanguineti
The board of Redwood & Strong LLP (R&S), the American branch of a large global law firm, is meeting to review the findings of a recent strategic initiative designed to identify potential merger candidates. The request for the engagement originated from Daniel Crawford,... View Details
- 2025
- Working Paper
Causes and Extent of Increasing Partisan Segregation in the U.S. – Evidence from Migration Patterns of 212 Million Voters
By: Jacob R. Brown, Enrico Cantoni, Vincent Pons and Emilie Sartre
Using data on the residential location and migration for every voter in U.S. states recording partisan registration between 2008–2020, we find that residential segregation between Democrats and Republicans has increased year over year at all geographic levels, from... View Details
- 2025
- Working Paper
Home Sweet Home: How Much Do Employees Value Remote Work?
By: Zoë B. Cullen, Bobak Pakzad-Hurson and Ricardo Perez-Truglia
We estimate the value employees place on remote work using revealed preferences in a high-stakes, real-world context, focusing on U.S. tech workers. On average, employees are willing to accept a 25% pay cut for partly or fully remote roles. Our estimates are three to... View Details
- 2025
- Article
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
By: Kosuke Imai and Michael Lingzhi Li
Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with... View Details
- 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
- January–February 2025
- Article
Want Your Company to Get Better at Experimentation?: Learn Fast by Democratizing Testing
By: Iavor Bojinov, David Holtz, Ramesh Johari, Sven Schmit and Martin Tingley
For years, online experimentation has fueled the innovations of leading tech companies, enabling them to rapidly test and refine new ideas, optimize product features, personalize user experiences, and maintain a competitive edge. The widespread availability and lower... View Details
- January–February 2025
- Article
Why People Resist Embracing AI
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
- 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
- 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