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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
- March 2025
- Article
Novice Risk Work: How Juniors Coaching Seniors on Emerging Technologies Such as Generative AI Can Lead to Learning Failures
By: Katherine C. Kellogg, Hila Lifshitz-Assaf, Steven Randazzo, Ethan Mollick, Fabrizio Dell'Acqua, Edward McFowland III, François Candelon and Karim R. Lakhani
The literature on communities of practice demonstrates that a proven way for senior professionals to upskill
themselves in the use of new technologies that undermine existing expertise is to learn from junior
professionals. It notes that juniors may be better able... View Details
Keywords: Rank and Position; Competency and Skills; Technology Adoption; Experience and Expertise; AI and Machine Learning
Kellogg, Katherine C., Hila Lifshitz-Assaf, Steven Randazzo, Ethan Mollick, Fabrizio Dell'Acqua, Edward McFowland III, François Candelon, and Karim R. Lakhani. "Novice Risk Work: How Juniors Coaching Seniors on Emerging Technologies Such as Generative AI Can Lead to Learning Failures." Art. 100559. Information and Organization 35, no. 1 (March 2025).
- 2025
- Working Paper
Unwinding Loan Prospecting Pressure Through Renegotiation: The Role of Loan Officer Changes in Debt Contracting
By: Jung Koo Kang, Regina Wittenberg Moerman and Jessie Cheong
We examine the impact of loan officer changes on debt contract design. Loan officers play a critical role in initiating and maintaining lending relationships but also face pressure to originate more loans, incentivizing them to offer loan terms more favorable than... View Details
Kang, Jung Koo, Regina Wittenberg Moerman, and Jessie Cheong. "Unwinding Loan Prospecting Pressure Through Renegotiation: The Role of Loan Officer Changes in Debt Contracting." Working Paper, March 2025.
- 2025
- Working Paper
New Product Diffusion Within Retailers: The Effect of Managerial Quality on Rollout
By: Tomomichi Amano and Jorge Tamayo
Retailers are key intermediaries through which consumers encounter innovation in the form of new products. How are these products rolled out within retailers? We observe significant variation in the availability of new products across stores in a large retail chain in... View Details
Keywords: Managerial Quality; Firm Performance; Diffusion Of Innovation; New Product Rollout; Retailing; Distribution Channels; Product Launch; Management Skills; Retail Industry; Colombia
Amano, Tomomichi, and Jorge Tamayo. "New Product Diffusion Within Retailers: The Effect of Managerial Quality on Rollout." Harvard Business School Working Paper, No. 25-041, February 2025.
- 2025
- Working Paper
Tax Planning, Illiquidity, and Credit Risks: Evidence from DeFi Lending
By: Lisa De Simone, Peiyi Jin and Daniel Rabetti
This study establishes a plausible causal link between tax-planning-induced illiquidity and credit risks in lending markets. Exploiting an exogenous tax shock imposed by the Internal Revenue Service (IRS) on cryptocurrency gains, along with millions of transactions in... View Details
Keywords: Taxation
De Simone, Lisa, Peiyi Jin, and Daniel Rabetti. "Tax Planning, Illiquidity, and Credit Risks: Evidence from DeFi Lending." Working Paper, February 2025.
- 2025
- Working Paper
Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning
Reinforcement learning (RL) offers potential for optimizing sequences of customer interactions by modeling the relationships
between customer states, company actions, and long-term value. However, its practical implementation often faces significant
challenges.... View Details
Keywords: Dynamic Policy; Deep Reinforcement Learning; Representation Learning; Dynamic Difficulty Adjustment; Latent Variable Models; Customer Relationship Management; Customer Value and Value Chain; Foreign Direct Investment; Analytics and Data Science
Ma, Liangzong, Ta-Wei Huang, Eva Ascarza, and Ayelet Israeli. "Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning." Harvard Business School Working Paper, No. 25-037, February 2025.
- February 2025
- Article
Variation in Batch Ordering of Imaging Tests in the Emergency Department and the Impact on Care Delivery
By: Jacob C. Jameson, Soroush Saghafian, Robert S. Huckman and Nicole Hodgson
Objectives: To examine heterogeneity in physician batch ordering practices and measure the impact of a physician's tendency to batch order imaging tests on patient outcomes and resource utilization.
Study Setting and Design: In this retrospective study, we used... View Details
Study Setting and Design: In this retrospective study, we used... View Details
Keywords: Health Care; Operations Management; Productivity; Health Care and Treatment; Operations; Outcome or Result; Resource Allocation; Health Industry; United States
Jameson, Jacob C., Soroush Saghafian, Robert S. Huckman, and Nicole Hodgson. "Variation in Batch Ordering of Imaging Tests in the Emergency Department and the Impact on Care Delivery." Health Services Research 60, no. 1 (February 2025).
- January 2025
- Case
North Forty: Managing Liquidity through Change
By: Luis M. Viceira and Brad Towne
This case explores the interaction between spending and investment decisions at a family office, specifically the family office of Jeff and Tricia Raikes, with special emphasis on the management of spending, portfolio investments, and asset liquidity in the presence of... View Details
Viceira, Luis M., and Brad Towne. "North Forty: Managing Liquidity through Change." Harvard Business School Case 225-061, January 2025.
- January 2025 (Revised January 2025)
- Case
Less Is More: Will Aldi's Expansion Plans Pay Off in a Crowded U.S. Grocery Market?
By: David Collis and Haisley Wert
In 2024, the discount grocery retailer Aldi announced bold U.S. expansion plans. Within five years, the German company would increase its store count by 30% to reach 3,200+ stores across the United States and approach becoming the fifth largest grocery retailer in the... 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
Keywords: Technological Innovation; AI and Machine Learning; Analytics and Data Science; Product Development; Competitive Advantage
Bojinov, Iavor, David Holtz, Ramesh Johari, Sven Schmit, and Martin Tingley. "Want Your Company to Get Better at Experimentation? Learn Fast by Democratizing Testing." Harvard Business Review 103, no. 1 (January–February 2025): 96–103.
- 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
- 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
Keywords: Large Language Models; AI and Machine Learning; Accounting; Profit; Corporate Disclosure; Analytics and Data Science; Measurement and Metrics
Shaffer, Matthew, and Charles CY Wang. "Scaling Core Earnings Measurement with Large Language Models." Working Paper, November 2024.
- November 2024
- Article
The Health Costs of Cost Sharing
By: Amitabh Chandra, Evan Flack and Ziad Obermeyer
What happens when patients suddenly stop their medications? We study the health consequences of drug interruptions caused by large, abrupt, and arbitrary changes in price. Medicare’s prescription drug benefit as-if-randomly assigns 65-year-olds a drug budget as a... View Details
Chandra, Amitabh, Evan Flack, and Ziad Obermeyer. "The Health Costs of Cost Sharing." Quarterly Journal of Economics 139, no. 4 (November 2024): 2037–2082.
- 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
Egan, Mark, Gregor Matvos, and Amit Seru. "The Problem of Good Conduct Among Financial Advisers." Journal of Economic Perspectives 38, no. 4 (Fall 2024): 193–210.
- 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.
- September 2024
- Case
Barbie: Reviving a Cultural Icon at Mattel (Abridged)
The 2023 release of live-action film Barbie, and its accompanying marketing blitz, incited a worldwide Barbie craze. Suddenly Barbie was everywhere, a celebrated icon reinstated at the forefront of cultural conversation. This goodwill stood in contrast to decades of... View Details
Keywords: Gender; Intellectual Property; Brands and Branding; Marketing Strategy; Public Opinion; Business Strategy; Entertainment and Recreation Industry; Motion Pictures and Video Industry
Ofek, Elie, Ryann Noe, and Sarah Mehta. "Barbie: Reviving a Cultural Icon at Mattel (Abridged)." Harvard Business School Case 525-020, September 2024.
- 2024
- Article
Learning Under Random Distributional Shifts
By: Kirk Bansak, Elisabeth Paulson and Dominik Rothenhäusler
Algorithmic assignment of refugees and asylum seekers to locations within host
countries has gained attention in recent years, with implementations in the U.S.
and Switzerland. These approaches use data on past arrivals to generate machine
learning models that can... View Details
Bansak, Kirk, Elisabeth Paulson, and Dominik Rothenhäusler. "Learning Under Random Distributional Shifts." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 27th (2024).