Publications
Publications
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- All HBS Web
(819)
- Faculty Publications (205)
- 2022
- Working Paper
Product2Vec: Leveraging Representation Learning to Model Consumer Product Choice in Large Assortments
By: Fanglin Chen, Xiao Liu, Davide Proserpio and Isamar Troncoso
We propose a method, Product2Vec, based on representation learning, that can automatically learn latent product attributes that drive consumer choices, to study product-level competition when the number of products is large. We demonstrate Product2Vec’s... View Details
- 2022
- Conference Presentation
Towards the Unification and Robustness of Post hoc Explanation Methods
By: Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu and Himabindu Lakkaraju
As machine learning black boxes are increasingly being deployed in critical domains such as healthcare and criminal justice, there has been a growing emphasis on developing techniques for explaining these black boxes in a post hoc manner. In this work, we analyze two... View Details
Keywords: AI and Machine Learning
- 2022
- Working Paper
Causal Inference During A Pandemic: Evidence on the Effectiveness of Nebulized Ibuprofen as an Unproven Treatment for COVID-19 in Argentina
By: Sebastian Calonico, Rafael Di Tella and Juan Cruz Lopez Del Valle
Many medical decisions during the pandemic were made without the support of causal evidence obtained in clinical trials. We study the case of nebulized ibuprofen (NaIHS), a drug that was extensively used on COVID-19 patients in Argentina amidst wild claims about its... View Details
- 2022
- Working Paper
A Linear Panel Model with Heterogeneous Coefficients and Variation in Exposure
By: Jesse M. Shapiro and Liyang Sun
Linear panel models featuring unit and time fixed effects appear in many areas of empirical economics. An active literature studies the interpretation of the ordinary least squares estimator of the model, commonly called the two-way fixed effects (TWFE) estimator, in... View Details
- 2023
- Working Paper
Can Evidence-Based Information Shift Preferences Towards Trade Policy?
By: Laura Alfaro, Maggie X. Chen and Davin Chor
Amid public skepticism about trade, we investigate whether evidence-based information--a concise statement of a research finding--can shape preferences towards trade policy. Across survey experiments conducted over 2018-2022 on U.S. general population samples, we... View Details
- March 2022 (Revised July 2022)
- Technical Note
Linear Regression
This note provides an overview of linear regression for an introductory data science course. It begins with a discussion of correlation, and explains why correlation does not necessarily imply causation. The note then describes the method of least squares, and how to... View Details
- March 2022 (Revised July 2022)
- Technical Note
Statistical Inference
This note provides an overview of statistical inference for an introductory data science course. First, the note discusses samples and populations. Next the note describes how to calculate confidence intervals for means and proportions. Then it walks through the logic... View Details
- January 2022 (Revised February 2022)
- Case
Introducing EVA at ISS: A Better Way to Evaluate CEO Performance and Compensation?
By: Jonas Heese, Charles C.Y. Wang and James Weber
In early 2019, Anthony Campagna, the global director of fundamental research at ISS EVA, a unit of the proxy advisory firm Institutional Shareholder Services (ISS), was preparing to release ISS's analyses of public company performance and CEO compensation ahead of Say... View Details
- January 2022 (Revised December 2022)
- Case
TotalEnergies’ Investment in Hyzon Motors
By: Vikram S. Gandhi and David Lane
In November 2021, Girish Nadkarni, the head of TotalEnergies’ corporate venture capital arm (TEV) was considering whether, and on what terms, to exit an investment in Hyzon Motors, a start-up supplier of hydrogen-powered trucks. TEV had invested $4 million in Hyzon,... View Details
Keywords: Business Units; Communication Intention and Meaning; Renewable Energy; Venture Capital; Growth and Development Strategy; Market Design; Standards; Commercialization; Investment Portfolio; Market Transactions; Energy Industry; Financial Services Industry; Transportation Industry; Europe; New York (city, NY)
- 2022
- Working Paper
TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations
By: Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju and Sameer Singh
Practitioners increasingly use machine learning (ML) models, yet they have become more complex and harder to understand. To address this issue, researchers have proposed techniques to explain model predictions. However, practitioners struggle to use explainability... View Details
- Article
Surgeons and Administrators Co-Creating Value
By: Michael Nurok, Thoralf Sundt, Robert S. Kaplan and Bruce Gewertz
Most hospitals have arms-length relationships with physicians, viewing them as people they must ‘‘manage,’’ not as potentially valuable strategic partners. But surgeons make clinical decisions every day that have great influence on both patient outcomes and hospital... View Details
- November 2021
- Article
Corporate Strategy and the Theory of the Firm in the Digital Age
By: Markus Menz, Sven Kunisch, Julian Birkinshaw, David J. Collis, Nicolai J. Foss, Robert E. Hoskisson and John Prescott
The purpose of this article is to reinvigorate research in the intersection of corporate strategy and the theory of the firm in light of the rapid advancement of digital technologies. Using the theory of the firm as an interpretive lens, we focus our analysis on the... View Details
- November 2021
- Article
Panel Experiments and Dynamic Causal Effects: A Finite Population Perspective
By: Iavor Bojinov, Ashesh Rambachan and Neil Shephard
In panel experiments, we randomly assign units to different interventions, measuring their outcomes, and repeating the procedure in several periods. Using the potential outcomes framework, we define finite population dynamic causal effects that capture the relative... View Details
- Summer 2021
- Article
Platform Leadership and Supply Chains: Intel, Centrino, and the Restructuring of Wi-Fi Supply
By: Roberto Fontana and Shane Greenstein
In this paper we examine Intel’s launch of Centrino and interpret it as platform leaders attempt to restructure a supply chain. We provide a narrative of key actions and how they coordinated changes and offer a framework of the predictable consequences for... View Details
- Article
Towards the Unification and Robustness of Perturbation and Gradient Based Explanations
By: Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu and Himabindu Lakkaraju
As machine learning black boxes are increasingly being deployed in critical domains such as healthcare and criminal justice, there has been a growing emphasis on developing techniques for explaining these black boxes in a post hoc manner. In this work, we analyze two... View Details
- June 2021
- Technical Note
Introduction to Linear Regression
By: Michael Parzen and Paul Hamilton
This technical note introduces (from an applied point of view) the theory and application of simple and multiple linear regression. The motivation for the model is introduced, as well as how to interpret the summary output with regard to prediction and statistical... View Details
- April 2021
- Teaching Note
Drinkworks: Home Bar by Keurig
By: Sunil Gupta and Jonathan Levav
Teaching Note for HBS Case No. 521-010. In the summer of 2018, Drinkworks CEO Nathaniel Davis needed to make a number of go-to-market decisions ahead of his company’s upcoming product launch. Formed through a joint venture between Keurig Dr. Pepper and Anheuser-Busch... View Details
Keywords: Marketing; Marketing Strategy; Product Marketing; Product Launch; Product Positioning; Markets; Bids and Bidding; Demand and Consumers; Consumer Behavior; Market Design; Distribution; Distribution Channels; Product; Product Design; Product Development; Business Model; Customers; Customer Value and Value Chain; Decision Making; Decisions; Goods and Commodities; Innovation and Invention; Technological Innovation; Business or Company Management; Growth and Development Strategy; Research; Research and Development; Strategy; Adoption; Competitive Advantage; Segmentation; Information Technology; Information Infrastructure; Value; Value Creation; Food and Beverage Industry; Consumer Products Industry; North and Central America; United States
- 2021
- Working Paper
Diversity and Performance in Entrepreneurial Teams
By: Sophie Calder-Wang, Paul A. Gompers and Kevin Huang
We study the role of diversity and performance in the entrepreneurial teams. We exploit a unique dataset of MBA students who participated in a required course to propose and start a real micro-business that allows us to examine horizontal diversity (i.e., within the... View Details
- January 2021
- Article
Machine Learning for Pattern Discovery in Management Research
By: Prithwiraj Choudhury, Ryan Allen and Michael G. Endres
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used for exploratory inductive or abductive research, or for post-hoc analysis of regression results to detect... View Details
- 2020
- Conference Presentation
An Empirical Study of the Trade-Offs Between Interpretability and Fairness
By: Shahin Jabbari, Han-Ching Ou, Himabindu Lakkaraju and Milind Tambe