Publications
Publications
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- All HBS Web
(5,037)
- Faculty Publications (981)
- March 2020 (Revised June 2022)
- Case
GreenLight Fund
By: Brian Trelstad, Julia Kelley and Mel Martin
As Tara Noland, the Executive Director (ED) of GreenLight Cincinnati, reflected on her first few years on the job. Noland had delivered on what she had been hired to do in the city: work with leading philanthropists and nonprofit executives to use data and evidence to... View Details
- March 2020
- Supplement
People Analytics at Teach For America (B)
By: Jeffrey T. Polzer and Julia Kelley
This is a supplement to the People Analytics at Teach For America (A) case. In this supplement, situated one year after the A case, Managing Director Michael Metzger must decide how to apply his team's predictive models generated from the previous year’s data. View Details
- March 2020
- Article
Diagnosing Missing Always at Random in Multivariate Data
By: Iavor I. Bojinov, Natesh S. Pillai and Donald B. Rubin
Models for analyzing multivariate data sets with missing values require strong, often assessable, assumptions. The most common of these is that the mechanism that created the missing data is ignorable—a twofold assumption dependent on the mode of inference. The first... View Details
- Article
Innovation Contests for High-Tech Procurement
By: Jin Hyun Paik, Martin Scholl, Rinat A. Sergeev, Steven Randazzo and Karim R. Lakhani
Innovation managers rarely use crowdsourcing as an innovative instrument despite extensive academic and theoretical research. The lack of tools available to compare and measure crowdsourcing, specifically contests, against traditional methods of procuring goods and... View Details
- 2020
- Book
The Power of Experiments: Decision-Making in a Data-Driven World
By: Michael Luca and Max H. Bazerman
Have you logged into Facebook recently? Searched for something on Google? Chosen a movie on Netflix? If so, you've probably been an unwitting participant in a variety of experiments—also known as randomized controlled trials—designed to test the impact of changes to an... View Details
- February 2020
- Supplement
Indigo Agriculture: Harnessing Nature
By: Michael W. Toffel and James Barnett
Indigo Agriculture used a digital-enabled research and development (R&D) process to launch its initial product, microbial coatings for agricultural seeds, which increase crop yields while reducing the need for fertilizers. In doing so, the company developed direct... View Details
Keywords: Operations; Supply Chain; Social Enterprise; Product Development; Distribution Channels; Business Strategy; Digital Platforms; Environmental Sustainability; Science-Based Business; Climate Change; Agriculture and Agribusiness Industry; Agriculture and Agribusiness Industry; United States; Massachusetts
- 2020
- Working Paper
A General Theory of Identification
By: Iavor Bojinov and Guillaume Basse
What does it mean to say that a quantity is identifiable from the data? Statisticians seem to agree
on a definition in the context of parametric statistical models — roughly, a parameter θ in a model
P = {Pθ : θ ∈ Θ} is identifiable if the mapping θ 7→ Pθ is injective.... View Details
- February 2020 (Revised April 2021)
- Case
StockX: The Stock Market of Things
By: Chiara Farronato, John J. Horton, Annelena Lobb and Julia Kelley
Founded in 2015 by Dan Gilbert, Josh Luber, and Greg Schwartz, StockX was an online platform where users could buy and sell unworn luxury and limited-edition sneakers. Sneaker resale prices often fluctuated over time based on supply and demand, creating a robust... View Details
Keywords: Markets; Auctions; Bids and Bidding; Demand and Consumers; Consumer Behavior; Analytics and Data Science; Market Design; Digital Platforms; Market Transactions; Marketplace Matching; Supply and Industry; Analysis; Price; Product Marketing; Product Launch; Apparel and Accessories Industry; Apparel and Accessories Industry; North and Central America; United States; Michigan; Detroit
- February 2020 (Revised March 2020)
- Case
Prime Coalition: Catalytic Capital for Climate Innovation
By: Ramana Nanda, Benjamin N. Roth and Olivia Hull
With long development timelines and high risk, new energy technologies were often left to languish in the “valley of death,” unable to raise enough funds to bring a product to market. In 2014, Sarah Kearney founded the nonprofit Prime Coalition to solve this problem.... View Details
Keywords: Energy Conservation; Renewable Energy; Social Entrepreneurship; Venture Capital; Investment; Innovation and Invention; Technological Innovation; Mission and Purpose; Science-Based Business; Nonprofit Organizations; Social Enterprise; Technology Industry; Technology Industry; Technology Industry; United States
- 2019
- Article
Go-Shops Revisited
By: Guhan Subramanian and Annie Zhao
A go-shop process turns the traditional M&A deal process on its head: rather than a pre-signing market canvass followed by a post-signing “no shop” period, a go-shop deal involves a limited pre-signing market check, followed by a post-signing “go shop” process to find... View Details
- 2023
- Working Paper
Local Shocks and Internal Migration: The Disparate Effects of Robots and Chinese Imports in the U.S.
By: Marius Faber, Andres Sarto and Marco Tabellini
Do local labor markets adjust to economic shocks through migration? In this paper, we study this question by focusing on two of the most important shocks that hit U.S. manufacturing since the 1990s: Chinese import competition and the introduction of industrial robots.... View Details
- Article
Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error
By: Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan and Edward McFowland III
Reliably detecting attacks in a given set of inputs is of high practical relevance because of the vulnerability of neural networks to adversarial examples. These altered inputs create a security risk in applications with real-world consequences, such as self-driving... View Details
- May 2020
- Article
Scalable Holistic Linear Regression
By: Dimitris Bertsimas and Michael Lingzhi Li
We propose a new scalable algorithm for holistic linear regression building on Bertsimas & King (2016). Specifically, we develop new theory to model significance and multicollinearity as lazy constraints rather than checking the conditions iteratively. The resulting... View Details
- December 2019
- Case
Forecasting ClimaCell
By: Joshua Lev Krieger, Christopher Stanton and James Barnett
A weather technology startup, ClimaCell considers the R&D trade-offs and financing implications of pursuing a proposed contract with a major automobile maker, rather than continuing its focus on building a scalable, all-purpose weather prediction engine. View Details
- 2019
- Article
Overcoming Cultural Resistance to Open Source Innovation
By: John Winsor, Jin Hyun Paik, Michael Tushman and Karim R. Lakhani
Purpose: This article offers insight on how to effectively help incumbent organizations prepare for global business shifts to open source and digital business models.
Design/methodology/approach: Discussion related to observation, experience and case studies... View Details
Design/methodology/approach: Discussion related to observation, experience and case studies... View Details
- November 2019
- Supplement
Innovation at Uber: The Launch of Express POOL
By: Chiara Farronato, Alan MacCormack and Sarah Mehta
This multimedia supplement accompanies the case “Innovation at Uber: the Launch of Express POOL” (case no. 619-003). Set in March 2018, the case follows ride-sharing company Uber as it develops and launches a new product called Express POOL. This multimedia supplement... View Details
- November 2019 (Revised June 2020)
- Case
Indigo Agriculture: Harnessing Nature
By: Marco Iansiti, Michael W. Toffel and James Barnett
Indigo Agriculture used a digital-enabled research and development (R&D) process to launch its initial product, microbial coatings for agricultural seeds, which increase crop yields while reducing the need for fertilizers. In doing so, the company developed direct... View Details
Keywords: Carbon Sequestration; Operations; Supply Chain; Social Enterprise; Product Development; Distribution Channels; Business Strategy; Digital Platforms; Environmental Sustainability; Science-Based Business; Climate Change; Agriculture and Agribusiness Industry; Agriculture and Agribusiness Industry; United States; Massachusetts
- November 2019 (Revised January 2020)
- Case
Bayer Crop Science
By: David E. Bell, Damien McLoughlin, Natalie Kindred and James Barnett
In mid-2019, a year after German conglomerate Bayer Group closed its acquisition of U.S.-based seeds giant Monsanto, the leadership of Bayer’s Crop Science division (which absorbed Monsanto) is reflecting on the opportunities ahead. Some observers have questioned... View Details
- November 9, 2019
- Article
Effect of Revealing Authors' Conflicts of Interests in Peer Review: Randomized Controlled Trial
By: Leslie K. John, George Loewenstein, Andrew Marder and Michael Callaham
Objective: To assess the impact of disclosing authors’ conflict of interest declarations to peer reviewers at a medical journal.
Design: Randomised controlled trial.
Setting: The study was conducted within the manuscript review process at the... View Details
Design: Randomised controlled trial.
Setting: The study was conducted within the manuscript review process at the... View Details
- November 2019 (Revised April 2020)
- Technical Note
The Life Sciences Revolution: A Technical Primer
By: Gary P. Pisano, William J. Anderson, Amitabh Chandra, Clarissa Ceruti and Stephanie Oestreich
For more than two decades, scientific advances have been driving profound changes in drug discovery and the drug industry itself. This case provides an overview and description of these technical and scientific advances. Written for the nonscientific reader, it may be... View Details