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- All HBS Web
(2,936)
- Faculty Publications (507)
- April 6, 2023
- Article
A New NFT Launch Strategy: The Wave Mint
By: Scott Duke Kominers and 1337 Skulls Sers
In an NFT project, the mint—the process by which tokens are initially allocated—largely determines who your community is and how they and the broader market view the project going forward. In this piece, we review a new minting strategy recently introduced by 1337... View Details
Keywords: NFTs; Mechanism Design; Sales Management; Sales Model; Crypto Economy; Non-fungible Tokens; Networks; Product Launch; Auctions; Market Design
Kominers, Scott Duke, and 1337 Skulls Sers. "A New NFT Launch Strategy: The Wave Mint." a16zcrypto.com (April 6, 2023).
- 2023
- Article
Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations.
By: Edward McFowland III and Cosma Rohilla Shalizi
Social influence cannot be identified from purely observational data on social networks, because such influence is generically confounded with latent homophily, that is, with a node’s network partners being informative about the node’s attributes and therefore its... View Details
Keywords: Causal Inference; Homophily; Social Networks; Peer Influence; Social and Collaborative Networks; Power and Influence; Mathematical Methods
McFowland III, Edward, and Cosma Rohilla Shalizi. "Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations." Journal of the American Statistical Association 118, no. 541 (2023): 707–718.
- 2023
- Working Paper
Feature Importance Disparities for Data Bias Investigations
By: Peter W. Chang, Leor Fishman and Seth Neel
It is widely held that one cause of downstream bias in classifiers is bias present in the training data. Rectifying such biases may involve context-dependent interventions such as training separate models on subgroups, removing features with bias in the collection... View Details
Chang, Peter W., Leor Fishman, and Seth Neel. "Feature Importance Disparities for Data Bias Investigations." Working Paper, March 2023.
- April 2023
- Article
Inattentive Inference
By: Thomas Graeber
This paper studies how people infer a state of the world from information structures that include additional, payoff-irrelevant states. For example, learning from a customer review about a product’s quality requires accounting for the reviewer’s otherwise irrelevant... View Details
Graeber, Thomas. "Inattentive Inference." Journal of the European Economic Association 21, no. 2 (April 2023): 560–592.
- 2023
- Working Paper
PRIMO: Private Regression in Multiple Outcomes
By: Seth Neel
We introduce a new differentially private regression setting we call Private Regression in Multiple Outcomes (PRIMO), inspired the common situation where a data analyst wants to perform a set of l regressions while preserving privacy, where the covariates... View Details
Neel, Seth. "PRIMO: Private Regression in Multiple Outcomes." Working Paper, March 2023.
- March 2023
- Background Note
A Primer on OKRs
By: Suraj Srinivasan and Li-Kuan (Jason) Ni
The OKR framework is a popular goal-setting and strategy execution tool that uses goal setting through “Objectives” and measuring performance using “Key Results” on a periodic basis to measure and drive performance. The OKR framework has been adopted and practiced at... View Details
Keywords: Business Organization; Talent and Talent Management; Framework; Corporate Governance; Goals and Objectives; Growth and Development; Growth and Development Strategy; Growth Management; Management Analysis, Tools, and Techniques; Management Practices and Processes; Management Skills; Management Systems; Measurement and Metrics; Outcome or Result; Performance Effectiveness; Performance Evaluation; Performance Expectations; Performance Productivity; Performance Efficiency
Srinivasan, Suraj, and Li-Kuan (Jason) Ni. "A Primer on OKRs." Harvard Business School Background Note 123-081, March 2023.
- March 2023 (Revised September 2023)
- Case
Patagonia: 'Earth Is Now Our Only Shareholder'
By: Brian Trelstad, Nien-hê Hsieh, Michael Norris and Susan Pinckney
In September 2022, Yvon Chouinard, the iconoclastic founder of outdoor apparel company Patagonia, announced a new ownership model for his company. Chouinard and his family had held complete control of the company's voting and non-voting stock since its founding 50... View Details
Keywords: Trusts; Business Ventures; Business Organization; Family Business; Restructuring; Change; Disruption; Transition; Decision Making; Ethics; Values and Beliefs; Finance; Financial Management; Governance; Corporate Governance; Investment Activism; Leadership; Labor; Law; Common Law; Management; Goals and Objectives; Organizations; Corporate Social Responsibility and Impact; Mission and Purpose; Organizational Change and Adaptation; Organizational Culture; Ownership; Ownership Type; Family Ownership; Private Ownership; Social Enterprise; Nonprofit Organizations; Society; Social Issues; Wealth and Poverty; Value; Value Creation; Apparel and Accessories Industry; United States
Trelstad, Brian, Nien-hê Hsieh, Michael Norris, and Susan Pinckney. "Patagonia: 'Earth Is Now Our Only Shareholder'." Harvard Business School Case 323-057, March 2023. (Revised September 2023.)
- March 2023
- Case
FinTunes, Inc., Board of Directors
By: Lynn S. Paine and Jennifer Fonstad
The board of FinTunes, Inc., a start-up aimed at helping musicians distribute their work and manage their finances, must decide among three candidates to serve as the company’s first independent director. The terms of FinTunes’ last round of financing provided that the... View Details
- March 2023
- Case
Woven Planet - Designing Software for the Car of the Future
By: Gary P. Pisano and Catherine Piner
Founded in 2021, Woven Planet Holdings—a subsidiary of Toyota Motor Corporation—was developing Arene, an automotive software platform consisting of an operating system, development and simulation tools, and a cloud-based service that could store and analyze vehicle... View Details
Keywords: Technology; Automated Driving; Innovation; Organizational Culture; Applications and Software; Safety; Product Launch; Product; Auto Industry; Technology Industry
Pisano, Gary P., and Catherine Piner. "Woven Planet - Designing Software for the Car of the Future." Harvard Business School Case 623-064, March 2023.
- 2023
- Article
Experimental Evaluation of Individualized Treatment Rules
By: Kosuke Imai and Michael Lingzhi Li
The increasing availability of individual-level data has led to numerous applications of individualized (or personalized) treatment rules (ITRs). Policy makers often wish to empirically evaluate ITRs and compare their relative performance before implementing them in a... View Details
Keywords: Causal Inference; Heterogeneous Treatment Effects; Precision Medicine; Uplift Modeling; Analytics and Data Science; AI and Machine Learning
Imai, Kosuke, and Michael Lingzhi Li. "Experimental Evaluation of Individualized Treatment Rules." Journal of the American Statistical Association 118, no. 541 (2023): 242–256.
- January–February 2023
- Article
External Interfaces and Internal Processes: Market Positioning and Divergent Professionalization Paths in Young Ventures
By: Alicia DeSantola, Ranjay Gulati and Pavel Zhelyazkov
We explore how the initial market positioning of entrepreneurial ventures shapes how they professionalize over time, focusing specifically on the development of functional roles. In contrast to existing literature, which has presumed a uniform march toward... View Details
Keywords: Market Positioning; Professionalization; Scaling; Entrepreneurship; Strategy; Business Startups; Growth and Development; Organizational Structure
DeSantola, Alicia, Ranjay Gulati, and Pavel Zhelyazkov. "External Interfaces and Internal Processes: Market Positioning and Divergent Professionalization Paths in Young Ventures." Organization Science 34, no. 1 (January–February 2023): 1–23.
- 2022
- Article
Efficiently Training Low-Curvature Neural Networks
By: Suraj Srinivas, Kyle Matoba, Himabindu Lakkaraju and Francois Fleuret
Standard deep neural networks often have excess non-linearity, making them susceptible to issues such as low adversarial robustness and gradient instability. Common methods to address these downstream issues, such as adversarial training, are expensive and often... View Details
Keywords: AI and Machine Learning
Srinivas, Suraj, Kyle Matoba, Himabindu Lakkaraju, and Francois Fleuret. "Efficiently Training Low-Curvature Neural Networks." Advances in Neural Information Processing Systems (NeurIPS) (2022).
- 2022
- Article
Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations
By: Tessa Han, Suraj Srinivas and Himabindu Lakkaraju
A critical problem in the field of post hoc explainability is the lack of a common foundational goal among methods. For example, some methods are motivated by function approximation, some by game theoretic notions, and some by obtaining clean visualizations. This... View Details
Han, Tessa, Suraj Srinivas, and Himabindu Lakkaraju. "Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations." Advances in Neural Information Processing Systems (NeurIPS) (2022). (Best Paper Award, International Conference on Machine Learning (ICML) Workshop on Interpretable ML in Healthcare.)
- October 27, 2022
- Article
4 Types of Innovators Every Organization Needs
By: Andy Wu, Goran Calic and Min Basadur
Every company strives to be innovative, but most are missing key ingredients. How can you identify which ingredients your organization needs — and which employee styles can fill in the gaps? The authors’ research distills four key innovation styles that can lead to... View Details
Wu, Andy, Goran Calic, and Min Basadur. "4 Types of Innovators Every Organization Needs." Harvard Business Review (website) (October 27, 2022).
- October 2022
- Background Note
Note on Cyberattacks and Regulatory Regimes
Describes common types of cyberattacks on enterprises and their costs, as well as the fragmentary regulatory regimes through which U.S. states and regulatory agencies at the start of 2021 attempted to encourage disclosure of cyberattacks and to pursue enforcement... View Details
Keywords: Regulations; Regulatory Agencies; Cyberattacks; Governance; Corporate Disclosure; Cybersecurity; Information Industry; Information Technology Industry; Health Industry; Financial Services Industry; United States
Nagle, Frank, George A. Riedel, William R. Kerr, and David Lane. "Note on Cyberattacks and Regulatory Regimes." Harvard Business School Background Note 723-392, October 2022.
- October–December 2022
- Article
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details
Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction
Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.
- September 2022
- Background Note
On CUE: The Quest for Optimal Customer Unit Economics
By: Elie Ofek, Barak Libai and Eitan Muller
Startups are often evaluated by how well they perform on unit economics, defined as the ratio of a customer’s lifetime value (LTV) to acquisition costs (CAC). A common target for unit economics, advocated by many VCs and analysts, is 3:1 (i.e., LTV/CAC=3). While there... View Details
Keywords: Unit Economics; Business Startups; Performance Evaluation; Customer Value and Value Chain; Customer Relationship Management; Analysis
Ofek, Elie, Barak Libai, and Eitan Muller. "On CUE: The Quest for Optimal Customer Unit Economics." Harvard Business School Background Note 523-050, September 2022.
- 2022
- Chapter
Coordinating Marketing and Sales in B2B Organizations
This Handbook is targeted at academics and graduate students who want an overview of the academic state of the business-to-business marketing domain and at B2B practitioners who want to be aware of the current state of knowledge in their domains. This chapter examines... View Details
Cespedes, Frank V. "Coordinating Marketing and Sales in B2B Organizations." Chap. 7 in Handbook of Business-to-Business Marketing. 2nd ed. Edited by Gary L. Lilien, J. Andrew Petersen, and Stefan Wuyts, 117–137. Edward Elgar Publishing, 2022.
- September–October 2022
- Article
Seeking Purity, Avoiding Pollution: Strategies for Moral Career Building
By: Erin Reid and Lakshmi Ramarajan
This study builds theory on how people construct moral careers. Analyzing interviews with 102 journalists, we show how people build moral careers by seeking jobs that allow them to fulfill both the institution’s moral obligations and their own material aims. We... View Details
Reid, Erin, and Lakshmi Ramarajan. "Seeking Purity, Avoiding Pollution: Strategies for Moral Career Building." Organization Science 33, no. 5 (September–October 2022): 1909–1937.
- August 1, 2022
- Article
The Supply Chain, Explained
By: Willy C. Shih
Why have supply chains been such a mess? For starters, there are a lot more layers than you think. This article describes some common features of supply chains that help the reader to understand how things could have gone so far off track during the pandemic. View Details
Shih, Willy C. "The Supply Chain, Explained." Wall Street Journal (August 1, 2022). (Online Edition, July 22, 2022.)