Publications
Publications
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- All HBS Web
(3,353)
- Faculty Publications (800)
- March 2019
- Article
Crime and Violence: Desensitization in Victims to Watching Criminal Events
By: Rafael Di Tella, Lucia Freira, Ramiro H. Gálvez, Ernesto Schargrodsky, Diego Shalom and Mariano Sigman
We study desensitization to crime in a lab experiment by showing footage of criminal acts to a group of subjects, some of whom have been previously victimized. We measure biological markers of stress and behavioral indices of cognitive control before and after treated... View Details
- 2019
- Chapter
Happiness and Prosocial Behavior: An Evaluation of the Evidence
By: Lara B. Aknin, Ashley V. Whillans, Michael I. Norton and Elizabeth W. Dunn
Humans are an extremely prosocial species. Compared to most primates, humans provide more assistance to family, friends, and strangers, even when costly. Why do people devote their resources to helping others? In this chapter, we examine whether engaging in prosocial... View Details
- 2019
- Working Paper
Does Public Ownership and Accountability Increase Diversity? Evidence from IPOs
By: Rembrand Koning and John-Paul Ferguson
Does public ownership improve employment diversity? Organizational researchers theorize that increased transparency to regulators and the public should lead firms to conform to legal and social norms—but that social closure and decoupling should preserve the status... View Details
Keywords: IPO; Initial Public Offering; Employees; Diversity; Gender; Race; Entrepreneurship; United States
- Article
Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained ERM
By: Katrina Ligett, Seth Neel, Aaron Leon Roth, Bo Waggoner and Steven Wu
Traditional approaches to differential privacy assume a fixed privacy requirement ϵ for a computation, and attempt to maximize the accuracy of the computation subject to the privacy constraint. As differential privacy is increasingly deployed in practical settings, it... View Details
- 2019
- Article
An Empirical Study of Rich Subgroup Fairness for Machine Learning
By: Michael J Kearns, Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu
Kearns et al. [2018] recently proposed a notion of rich subgroup fairness intended to bridge the gap between statistical and individual notions of fairness. Rich subgroup fairness picks a statistical fairness constraint (say, equalizing false positive rates across... View Details
- 2019
- Article
Brokerage and Brokering: An Integrative Review and Organizing Framework for Third Party Influence
By: Nir Halevy, Eliran Halali and Julian Zlatev
Brokerage and brokering are pervasive and consequential organizational phenomena. Prevailing models underscore social structure and focus on the consequences that come from brokerage—occupying a bridging position between disconnected others in a network. By contrast,... 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
- December 2018
- Article
Improving Resilience Among Employees High in Depression, Anxiety, and Workplace Distress
By: Allison L. Williams, Acacia C. Parks, Grace Cormier, Julia Stafford and A.V. Whillans
Depression and anxiety are costly for both employees and employers, in terms of direct medical costs as well as costs stemming from lost productive time and missed days at work. Resilience training has been shown to improve workplace functioning for employees, which... View Details
- December 2018
- Article
Reserve Design: Unintended Consequences and the Demise of Boston's Walk Zones
By: Umut Dur, Scott Duke Kominers, Parag A. Pathak and Tayfun Sönmez
Admissions policies often use reserves to grant certain applicants higher priority for some (but not all) available seats. Boston’s school choice system, for example, reserved half of each school’s seats for local neighborhood applicants while leaving the other half... 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
- Article
Africa Rising? A Historical Perspective
By: Ewout Frankema and Marlous van Waijenburg
Sub-Saharan Africa’s recent economic boom has raised hopes and expectations to lift the regions’ ‘bottom millions’ out of poverty by 2030. How realistic is that goal? We approach this question by comparing the experiences of three front-runners of region-specific... View Details
- September 2018
- Case
Granite Equity Partners
By: Victoria Ivashina and Jeffrey Boyar
This case follows Rick Bauerly, CEO of Minnesota-based Granite Equity Partners, a private equity firm that specialized in buying out retiring business owners in the Minnesota community. In 2007, Granite Equity was considering an investment in Tyrell Corp. (name... View Details
- September 21, 2018
- Article
Innovation Should Be a Top Priority for Boards. So Why Isn't It?
By: J. Yo-Jud Cheng and Boris Groysberg
Corporate directors and executives alike recognize that today’s pace of change continues to accelerate and that firms need to innovate to stay ahead. But are boards doing enough to support innovation, as they should? We conducted a survey of over 5,000 board members... View Details
- September 2018 (Revised March 2019)
- Case
Philanthropy and Brand Building: Jeff Vinik and the Tampa Bay Lightning
By: Stephen A. Greyser and Michael Mondello
Owner Jeff Vinik and top management of the NHL Tampa Bay Lightning are reviewing their strategy and progress in achieving their goals of brand-building and community commitment. Strategic philanthropy is unusual in sport. Tampa Bay is historically a non-traditional... View Details
- September 2018
- Article
An Exploratory Study of Product Development in Emerging Economies: Evidence from Medical Device Testing in India
By: Budhaditya Gupta and Stefan Thomke
Recent research has studied innovation in emerging economies. However, microlevel product development processes in these economies are relatively unexplored, and the mechanisms by which the emerging economy context might affect such processes are still unclear. In this... 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
The Critical Role of Second-order Normative Beliefs in Predicting Energy Conservation
By: Jon M. Jachimowicz, Oliver P. Hauser, Julia D. O'Brien, Erin Sherman and Adam D. Galinsky
Sustaining large-scale public goods requires individuals to make environmentally friendly decisions today to benefit future generations. Recent research suggests that second-order normative beliefs are more powerful predictors of behaviour than first-order personal... View Details
- August 2018 (Revised September 2018)
- Supplement
Predicting Purchasing Behavior at PriceMart (B)
By: Srikant M. Datar and Caitlin N. Bowler
Supplements the (A) case. In this case, Wehunt and Morse are concerned about the logistic regression model overfitting to the training data, so they explore two methods for reducing the sensitivity of the model to the data by regularizing the coefficients of the... View Details
- August 2018 (Revised September 2018)
- Supplement
LendingClub (B): Decision Trees & Random Forests
By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on the LendingClub (A) case. In this case students follow Emily Figel as she builds two tree-based models using historical LendingClub data to predict, with some probability, whether borrower will repay or default on his loan.
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