Publications
Publications
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- All HBS Web
(3,769)
- Faculty Publications (497)
- 2019
- Article
Fair Algorithms for Learning in Allocation Problems
By: Hadi Elzayn, Shahin Jabbari, Christopher Jung, Michael J Kearns, Seth Neel, Aaron Leon Roth and Zachary Schutzman
Settings such as lending and policing can be modeled by a centralized agent allocating a scarce resource (e.g. loans or police officers) amongst several groups, in order to maximize some objective (e.g. loans given that are repaid, or criminals that are apprehended).... View Details
- Article
Faithful and Customizable Explanations of Black Box Models
By: Himabindu Lakkaraju, Ece Kamar, Rich Caruana and Jure Leskovec
As predictive models increasingly assist human experts (e.g., doctors) in day-to-day decision making, it is crucial for experts to be able to explore and understand how such models behave in different feature subspaces in order to know if and when to trust them. To... View Details
- December 2018
- Case
Bata versus Relaxo—Analyzing Performance
By: Suraj Srinivasan, Iris Leung and Quinn Pitcher
Set in 2016, “Bata India versus Relaxo—Analyzing Performance” compares the strategies and financial performance of two Indian footwear companies. Bata India had long been the market leader in footwear in India, but its leading market position was being challenged by... View Details
- 2018
- Article
Cracking the Organizational Challenge of Pursuing Joint Social and Financial Goals: Social Enterprise as a Laboratory to Understand Hybrid Organizing
By: Julie Battilana
While in recent decades the social and business sectors have evolved on fairly separate tracks, today companies are increasingly expected to generate social value in addition to profit. As a result, they also increasingly face the distinct challenge of pursuing social... View Details
- 2018
- Working Paper
Diagnostic Bubbles
By: Pedro Bordalo, Nicola Gennaioli, Spencer Yongwook Kwon and Andrei Shleifer
We introduce diagnostic expectations into a standard setting of price formation in which investors learn about the fundamental value of an asset and trade it. We study the interaction of diagnostic expectations with two well-known mechanisms: learning from prices and... View Details
- November–December 2018
- Article
Online Network Revenue Management Using Thompson Sampling
By: Kris J. Ferreira, David Simchi-Levi and He Wang
We consider a network revenue management problem where an online retailer aims to maximize revenue from multiple products with limited inventory constraints. As common in practice, the retailer does not know the consumer's purchase probability at each price and must... View Details
- October 2018 (Revised August 2023)
- Case
Safecast: Bootstrapping Human Capital to Big Data
By: Ethan Bernstein and Stephanie Marton
On March 11, 2011, at 2:46pm, a 9.1-on-the-Richter-scale, six-minute long earthquake unleashed a tsunami that ravaged the Tohoku region of Japan, damaging the Fukushima Daiichi Nuclear Power facility and releasing sufficient radioactive material into the air and ocean... View Details
Keywords: Citizen Science; Creative Commons; Open Data; Open Architecture; Volunteer-based Organization; Fukushima Daiichi Nuclear Power Facility; 311; Nuclear; Radiation; Crowdsourcing; Bgeigie; Geiger Counters; Kickstarter; Sustainability; Sustainable Business And Innovation; Design; Energy Generation; Social Entrepreneurship; Human Capital; Innovation and Invention; Crisis Management; Organizational Structure; Organizational Design; Information Technology; Business Model; Energy Industry; Technology Industry; Japan; North and Central America; Europe
- 2020
- Working Paper
Arbitration with Uninformed Consumers
By: Mark Egan, Gregor Matvos and Amit Seru
This paper studies the impact of the arbitrator selection process on consumer outcomes by examining roughly 9,000 consumer arbitration cases in the securities industry. Securities disputes present a good laboratory: arbitration is mandatory for all disputes,... View Details
- October 2018
- Article
A Theory of Intergenerational Mobility
By: Gary Becker, Scott Duke Kominers, Kevin Murphy and Jorg L. Spenkuch
We develop a model of intergenerational resource transmission that emphasizes the link between cross-sectional inequality and intergenerational mobility. By drawing on first principles of human capital theory, we derive several novel results. In particular, we show... View Details
- 2018
- Other Teaching and Training Material
Finance Reading: Corporate Governance
By: John Coates and Suraj Srinivasan
Core Curriculum Readings in Finance cover the fundamental concepts, theories, and frameworks in finance. This reading presents an overview of corporate governance, focusing on for-profit businesses that are privately owned by dispersed investors—that is, not owned by a... View Details
- October 2018
- Article
The Operational Value of Social Media Information
By: Ruomeng Cui, Santiago Gallino, Antonio Moreno and Dennis J. Zhang
While the value of using social media information has been established in multiple business contexts, the field of operations and supply chain management have not yet explored the possibilities it offers in improving firms' operational decisions. This study attempts to... View Details
- Article
Applying Random Coefficient Models to Strategy Research: Identifying and Exploring Firm Heterogeneous Effects
By: Juan Alcácer, Wilbur Chung, Ashton Hawk and Gonçalo Pacheco-de-Almeida
Strategy aims at understanding the differential effects of firms’ actions on performance. However, standard regression models estimate only the average effects of these actions across firms. Our paper discusses how random coefficient models (RCMs) may generate new... View Details
- September 2018
- Case
Clayton, Dubilier & Rice at 40
By: Josh Lerner, Abhijit Tagade and Terrence Shu
In 2018, private equity firm Clayton, Dubilier & Rice celebrated its 40th anniversary and its 20th year under the leadership of CEO Don Gogel. In those decades, CD&R showed solid portfolio performance and generated strong returns for its investors - accomplishments... View Details
- September 2018
- Article
Do Experts or Crowd-Based Models Produce More Bias? Evidence from Encyclopædia Britannica and Wikipedia
By: Shane Greenstein and Feng Zhu
Organizations today can use both crowds and experts to produce knowledge. While prior work compares the accuracy of crowd-produced and expert-produced knowledge, we compare bias in these two models in the context of contested knowledge, which involves subjective,... View Details
- Article
Financial Analysis of Pediatric Resident Physician Primary Care Longitudinal Outpatient Experience
By: Robert S. Kaplan, Carole H. Stipelman, Brad Poss, Laura Anne Stetson, Luca Boi, Michael Rogers, Caleb Puzey, Sri Koduri, Vivian S. Lee and Edward B. Clark
Objective
To determine whether residency training represents a net positive or negative cost to academic medical centers, we analyzed the cost of a residency program and clinical productivity of residents and faculty in an outpatient primary care practice with or... View Details
To determine whether residency training represents a net positive or negative cost to academic medical centers, we analyzed the cost of a residency program and clinical productivity of residents and faculty in an outpatient primary care practice with or... View Details
- August 2018 (Revised April 2023)
- Case
Facebook—Can Ethics Scale in the Digital Age?
By: George A. Riedel and Carin-Isabel Knoop
Since its founding in 2004, Facebook has built a phenomenally successful business at global scale to become the fifth most valuable public company in the world. The revelation of Cambridge Analytica events in March 2018, where 78 million users' information was leaked... View Details
- August 2018 (Revised October 2020)
- Case
Tailor Brands: Artificial Intelligence-Driven Branding
By: Jill Avery
Using proprietary artificial intelligence technology, startup Tailor Brands set out to democratize branding by allowing small businesses to create their brand identities by automatically generating logos in just minutes at minimal cost with no branding or design skills... View Details
Keywords: Startup; Services; Artificial Intelligence; Machine Learning; Digital Marketing; Brand Management; Big Data; Internet Marketing; Analytics; Marketing; Marketing Strategy; Brands and Branding; Information Technology; Entrepreneurship; Venture Capital; Business Model; Consumer Behavior; AI and Machine Learning; Analytics and Data Science; Advertising Industry; Service Industry; Technology Industry; United States; North America; Israel
- August 2018
- Article
Extrapolation and Bubbles
By: Nicholas Barberis, Robin Greenwood, Lawrence Jin and Andrei Shleifer
We present an extrapolative model of bubbles. In the model, many investors form their demand for a risky asset by weighing two signals: an average of the asset’s past price changes and the asset’s degree of overvaluation. The two signals are in conflict, and investors... View Details
- August 2018
- Article
Growth Through Heterogeneous Innovations
By: Ufuk Akcigit and William R. Kerr
We build a tractable growth model where multi-product incumbents invest in internal innovations to improve their existing products, while new entrants and incumbents invest in external innovations to acquire new product lines. External and internal innovations generate... View Details
- July 2018 (Revised July 2018)
- Teaching Note
Argentina Power—Don’t Cry for Me Argentina
By: Nori Gerardo Lietz and Sayiddah Fatima McCree
Teaching Note for HBS No. 218-041. This case concerns a complex potential energy infrastructure investment in Argentina by a global conglomerate shortly after Mauricio Macri (“Macri”) became President of Argentina in 2015. The central issues are (i) why was a country... View Details