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Show Results For
- All HBS Web
(2,149)
- News (417)
- Research (1,293)
- Events (25)
- Multimedia (3)
- Faculty Publications (446)
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- August 2024
- Article
How Do Copayment Coupons Affect Branded Drug Prices and Quantities Purchased?
By: Leemore S. Dafny, Kate Ho and Edward Kong
Drug copayment coupons to reduce patient cost-sharing have become nearly ubiquitous for high-priced brand-name prescription drugs. Medicare bans such coupons on the grounds that they are kickbacks that induce utilization, but they are commonly used by... View Details
Keywords: Prescription Drugs; Coupons; Impact; Health Care and Treatment; Markets; Price; Spending; Pharmaceutical Industry; United States
Dafny, Leemore S., Kate Ho, and Edward Kong. "How Do Copayment Coupons Affect Branded Drug Prices and Quantities Purchased?" American Economic Journal: Economic Policy 16, no. 3 (August 2024): 314–346.
- 2022
- Article
Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis.
By: Martin Pawelczyk, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay and Himabindu Lakkaraju
As machine learning (ML) models become more widely deployed in high-stakes applications, counterfactual explanations have emerged as key tools for providing actionable model explanations in practice. Despite the growing popularity of counterfactual explanations, a... View Details
Keywords: Machine Learning Models; Counterfactual Explanations; Adversarial Examples; Mathematical Methods
Pawelczyk, Martin, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay, and Himabindu Lakkaraju. "Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 25th (2022).
- January 2023 (Revised December 2023)
- Case
OhmConnect: Energizing the Future
By: Jeffrey F. Rayport, Jennifer Fonstad and Nicole Tempest Keller
Founded in 2013, OhmConnect was a free consumer web app that alerted customers about peak hours of electricity demand, and paid them to lower their energy use at home during these periods. The company sold the aggregated reductions generated by thousands of households... View Details
Keywords: App Development; Renewable Energy; Electricity Usage; Regulations; VC; Technology; Customer Acquisition Cost (CAC); Scalability; Applications and Software; Growth and Development Strategy; Governing Rules, Regulations, and Reforms; Business Model; Venture Capital; Energy Industry; United States; California; Texas; Europe
Rayport, Jeffrey F., Jennifer Fonstad, and Nicole Tempest Keller. "OhmConnect: Energizing the Future." Harvard Business School Case 823-065, January 2023. (Revised December 2023.)
- Article
Adaptive Machine Unlearning
By: Varun Gupta, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi and Chris Waites
Data deletion algorithms aim to remove the influence of deleted data points from trained models at a cheaper computational cost than fully retraining those models. However, for sequences of deletions, most prior work in the non-convex setting gives valid guarantees... View Details
Gupta, Varun, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, and Chris Waites. "Adaptive Machine Unlearning." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
- March–April 2023
- Article
Market Segmentation Trees
By: Ali Aouad, Adam Elmachtoub, Kris J. Ferreira and Ryan McNellis
Problem definition: We seek to provide an interpretable framework for segmenting users in a population for personalized decision making. Methodology/results: We propose a general methodology, market segmentation trees (MSTs), for learning market... View Details
Keywords: Decision Trees; Computational Advertising; Market Segmentation; Analytics and Data Science; E-commerce; Consumer Behavior; Marketplace Matching; Marketing Channels; Digital Marketing
Aouad, Ali, Adam Elmachtoub, Kris J. Ferreira, and Ryan McNellis. "Market Segmentation Trees." Manufacturing & Service Operations Management 25, no. 2 (March–April 2023): 648–667.
- October 2006 (Revised August 2023)
- Background Note
Note on Student Outcomes in U.S. Public Education
By: Stacey M. Childress, Stig Leschly and John J-H Kim
Surveys educational outcomes among public school students in the United States. Educational outcomes are categorized as achievement outcomes (measured primarily by students' performance on standardized test results) and attainment outcomes (measured primarily by... View Details
Keywords: Demographics; Education; Outcome or Result; Public Administration Industry; Education Industry; United States
Childress, Stacey M., Stig Leschly, and John J-H Kim. "Note on Student Outcomes in U.S. Public Education." Harvard Business School Background Note 307-068, October 2006. (Revised August 2023.)
- November 1993 (Revised March 1995)
- Case
Marsh Supermarkets, Inc. (A): The Marsh Super Study
In response to recent trends in grocery retailing, Marsh Supermarkets has completed an intensive 65-week study of the activity at 5 superstores in the midwest United States. The study tracked the sales, profits, space, and promotion dynamics of the entire store: dry... View Details
Burke, Raymond R. "Marsh Supermarkets, Inc. (A): The Marsh Super Study." Harvard Business School Case 594-042, November 1993. (Revised March 1995.)
- 2023
- Working Paper
Who Invests in Crypto? Wealth, Financial Constraints, and Risk Attitudes
By: Darren Aiello, Scott R. Baker, Tetyana Balyuk, Marco Di Maggio, Mark J. Johnson and Jason Kotter
We provide a first look into the drivers of household cryptocurrency investing. Analyzing
consumer transaction data for millions of U.S. households, we find that, except for high income
early adopters, cryptocurrency investors resemble the general population. These... View Details
Keywords: Consumer Finance; Cryptocurrency; Fintech; Inflation; Portfolio Choice; Stimulus; Consumer Behavior; Risk and Uncertainty; Investment
Aiello, Darren, Scott R. Baker, Tetyana Balyuk, Marco Di Maggio, Mark J. Johnson, and Jason Kotter. "Who Invests in Crypto? Wealth, Financial Constraints, and Risk Attitudes." Harvard Business School Working Paper, No. 23-073, May 2023. (Revised November 2023. NBER Working Paper Series, No. 31856, November 2023)
- April 2008 (Revised May 2010)
- Case
Visions of Web 3.0
By: Thomas R. Eisenmann and David Andrew Vivero
Explores the Semantic Web, a vision for the next generation of the World Wide Web in which information is stored in machine-readable formats. While the Semantic Web would make information more easily accessible, barriers to its adoption are very high because website... View Details
Keywords: Business Startups; Entrepreneurship; Strategy; Technology Adoption; Digital Platforms; Internet and the Web
Eisenmann, Thomas R., and David Andrew Vivero. "Visions of Web 3.0." Harvard Business School Case 808-147, April 2008. (Revised May 2010.)
- 2010
- Working Paper
Disagreement about the Team's Status Hierarchy: An Insidious Obstacle to Coordination and Performance
By: Heidi K. Gardner
Hierarchies are pervasive in groups, generally providing clear guidelines for the dominance and deference behaviors that members are expected to show based on their relative ranks. But what happens when team members disagree about where each member ranks on the... View Details
Keywords: Performance Effectiveness; Groups and Teams; Behavior; Conflict and Resolution; Perception; Status and Position; Cooperation
Gardner, Heidi K. "Disagreement about the Team's Status Hierarchy: An Insidious Obstacle to Coordination and Performance." Harvard Business School Working Paper, No. 10-113, June 2010.
- 2012
- Working Paper
~Why Do We Redistribute so Much but Tag so Little? Normative Diversity, Equal Sacrifice and Optimal Taxation
Tagging is a free lunch in conventional optimal tax theory because it eases the classic tradeoff between efficiency and equality. But tagging is used in only limited ways in tax policy. I propose one explanation: conventional optimal tax theory has yet to capture the... View Details
Keywords: Forecasting and Prediction; Cost; Framework; Policy; Taxation; Analytics and Data Science; Performance Efficiency; United States
Weinzierl, Matthew. "~Why Do We Redistribute so Much but Tag so Little? Normative Diversity, Equal Sacrifice and Optimal Taxation." Harvard Business School Working Paper, No. 12-064, January 2012. (Revised August 2012. NBER Working Paper Series, No. 18045, August 2012)
- Article
ESG Integration in Investment Management: Myths and Realities
By: Sakis Kotsantonis, Christopher Pinney and George Serafeim
The authors’ aim in this article is to set the record straight on the financial performance of sustainable investing while also correcting a number of other widespread misconceptions about this rapidly growing set of principles and methods.
Myth Number 1:... View Details
Keywords: ESG; Sustainability; Investment Management; Finance; Corporate Social Responsibility; Integrated Corporate Reporting; Corporate Social Responsibility and Impact; Investment; Environmental Sustainability; Corporate Governance
Kotsantonis, Sakis, Christopher Pinney, and George Serafeim. "ESG Integration in Investment Management: Myths and Realities." Journal of Applied Corporate Finance 28, no. 2 (Spring 2016): 10–16.
- June 2022 (Revised October 2022)
- Background Note
Digital Commerce and Delivery: Preparing Food and Retail Value Chains for a 50-50 World
By: William R. Kerr, Daniel O'Connor, Paige Boehmcke and Will Ensor
Increasing digitalization of grocery retail and quick commerce reveals insights about managing complex supply chains at scale and shifting revenue streams from product sales to data monetization. How are the roles of retailers changing? What happens if marginal cost... View Details
Keywords: Grocery Delivery; Grocery; Digitalization; Fulfillment; Delivery; Supply Chain; Disruption; Food; Supply Chain Management; Market Design; Trends; Value Creation; Goods and Commodities; Customer Value and Value Chain; Digital Transformation; Retail Industry; Food and Beverage Industry; United States; China
Kerr, William R., Daniel O'Connor, Paige Boehmcke, and Will Ensor. "Digital Commerce and Delivery: Preparing Food and Retail Value Chains for a 50-50 World." Harvard Business School Background Note 822-108, June 2022. (Revised October 2022.)
- 26 Sep 2017
- First Look
First Look at New Research and Ideas, September 26, 2017
predict changes in the number of overall establishments and restaurants in County Business Patterns. Contemporaneous and lagged Yelp data can generate an algorithm that is able to explain 29.2% of the... View Details
Keywords: Sean Silverthorne
- 2023
- Working Paper
Segmented Going-Public Markets and the Demand for SPACs
By: Angela Ma, Miles Zheng and Jessica Bai
We provide a regulatory-arbitrage-based explanation for the origin and proliferation of the Special Purpose Acquisition Company (SPAC). SPAC sponsors act as non-bank intermediaries, and the SPAC market structure appeals to yield-seeking investors and riskier,... View Details
Keywords: Special Purpose Acquisition Companies; Non-bank Intermediaries; Regulatory Arbitrage; Adverse Selection; Initial Public Offering
Ma, Angela, Miles Zheng, and Jessica Bai. "Segmented Going-Public Markets and the Demand for SPACs." Working Paper, 2023.
- March 2000
- Article
The Duality of Collaboration: Inducements and Opportunities in the Formation of Interfirm Linkages
By: Gautam Ahuja
I argue that the linkage-formation propensity of firms is explained by simultaneously examining both inducement and opportunity factors. Drawing upon resource-based and social network theory literatures I identify three forms of accumulated... View Details
Keywords: Collaboration; Innovation; Networks; Strategy; Alliances; Social and Collaborative Networks; Innovation and Invention; Chemical Industry
Ahuja, Gautam. "The Duality of Collaboration: Inducements and Opportunities in the Formation of Interfirm Linkages." Special Issue on Strategic Networks edited by Ranjay Gulati, Nitin Nohria, Akbar Zaheer. Strategic Management Journal 21, no. 3 (March 2000): 317–343.
- 02 Aug 2022
- Research & Ideas
6 Strategies for Building Socially Responsible—and Profitable—Companies
A dozen years ago, Harvard Business School Professor George Serafeim wondered why some companies operated with an eye toward the greater good, while most did not. Back then, he always got the same response: Corporate leaders thought social and environmental practices... View Details
Keywords: by Lane Lambert
- August 2021
- Article
Crowdsourcing Memories: Mixed Methods Research by Cultural Insiders-Epistemological Outsiders
By: Tarun Khanna, Karim R. Lakhani, Shubhangi Bhadada, Nabil Khan, Saba Kohli Davé, Rasim Alam and Meena Hewett
This paper examines the role that the two lead authors’ personal connections played in the research methodology and data collection for the Partition Stories Project—a mixed-methods approach to revisiting the much-studied historical trauma of the Partition of British... View Details
Keywords: Mixed Methods; Insider-outsiders; Myth Of Informed Objectivity; Hybrid Research; Oral Narratives; Research; Analysis; India
Khanna, Tarun, Karim R. Lakhani, Shubhangi Bhadada, Nabil Khan, Saba Kohli Davé, Rasim Alam, and Meena Hewett. "Crowdsourcing Memories: Mixed Methods Research by Cultural Insiders-Epistemological Outsiders." Academy of Management Perspectives 35, no. 3 (August 2021): 384–399.
- 2021
- Working Paper
Connecting Expected Stock Returns to Accounting Valuation Multiples: A Primer
By: Akash Chattopadhyay, Matthew R. Lyle and Charles C.Y. Wang
We outline a framework in which accounting “valuation anchors" could be connected to expected stock returns. Under two general conditions, expected log returns is a log-linear function of a valuation (market value-to-accounting) multiple and the expected growth in the... View Details
Keywords: Expected Returns; Present Value; Investment Return; Accounting; Valuation; Information; Framework
Chattopadhyay, Akash, Matthew R. Lyle, and Charles C.Y. Wang. "Connecting Expected Stock Returns to Accounting Valuation Multiples: A Primer." Harvard Business School Working Paper, No. 21-081, January 2021.
- 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).