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- March 2023
- Article
Giving-by-proxy Triggers Subsequent Charitable Behavior
By: Samantha Kassirer, Jillian J. Jordan and Maryam Kouchaki
How can we foster habits of charitable giving? Here, we investigate the potential power of giving-by-proxy experiences, drawing inspiration from a growing trend in marketing and corporate social responsibility contexts in which organizations make charitable...
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- 2023
- Article
Association Between Regulatory Submission Characteristics and Recalls of Medical Devices Receiving 510(k) Clearance
By: Alexander O. Everhart, Soumya Sen, Ariel D. Stern, Yi Zhu and Pinar Karaca-Mandic
Importance: Most regulated medical devices enter the U.S. market via the 510(k) regulatory submission pathway, wherein manufacturers demonstrate that applicant devices are “substantially equivalent” to 1 or more “predicate” devices (legally marketed medical devices...
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- 2023
- Article
On the Privacy Risks of Algorithmic Recourse
By: Martin Pawelczyk, Himabindu Lakkaraju and Seth Neel
As predictive models are increasingly being employed to make consequential decisions, there is a growing emphasis on developing techniques that can provide algorithmic recourse to affected individuals. While such recourses can be immensely beneficial to affected...
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- February 2023
- Article
OTC Intermediaries
By: Andrea L. Eisfeldt, Bernard Herskovic, Sriram Rajan and Emil Siriwardane
We study the effect of dealer exit on prices and quantities in a model of an over-the-counter (OTC) market featuring a core-periphery network with bilateral trading costs. The model is calibrated using regulatory data on the entire U.S. credit default swap (CDS) market...
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- 2023
- Article
Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse
By: Martin Pawelczyk, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci and Himabindu Lakkaraju
As machine learning models are increasingly being employed to make consequential decisions in real-world settings, it becomes critical to ensure that individuals who are adversely impacted (e.g., loan denied) by the predictions of these models are provided with a means...
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- 2023
- Working Paper
Leadership and the Value of Persistence
By: James J. Anton, Alan Jaske and Dennis Yao
Consider a leader’s decision whether to persist with an unsuccessful R&D project
or to terminate the project in favor of a new project with an uncertain value. How
does that decision affect the effort exerted by the manager assigned to the project? To
study this...
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- January 2023 (Revised January 2023)
- Case
Belden and Digital Transformation: From Product Sales to Solutions Sales
By: Frank V. Cespedes and Amy Klopfenstein
This case provides an overview of a sales transformation in the industrial automation division at Belden, a hardware manufacturer. While Belden historically sold products such as cables, wires, and other networking devices, EVP of Industrial Automation Ashish Chand...
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- 2023
- Working Paper
The Subjective Expected Utility Approach and a Framework for Defining Project Risk in Terms of Novelty and Feasibility—A Response to Franzoni and Stephan (2023), ‘Uncertainty and Risk-Taking in Science’
In their Discussion Paper, Franzoni and Stephan (F&S, 2023) discuss the shortcomings of existing peer review models in shaping the funding of risky science. Their discussion offers a conceptual framework for incorporating risk into peer review models of research...
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- January 2023
- Article
Social Networks, Ethnicity, and Entrepreneurship
By: William R. Kerr and Martin Mandorff
We study the relationship between ethnicity, occupational choice, and entrepreneurship. Immigrant groups in the United States cluster in specific business sectors. For example, Koreans are 34 times more concentrated in self-employment for dry cleaning than other...
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- January–February 2023
- Article
The Overlooked Key to a Successful Scale-Up
By: Jeffrey F. Rayport, Davide Sola and Martin Kupp
Many start-ups experience enormous popularity and runaway growth, but only a few go on to become stable giants. What separates them from the pack? They all go through a developmental stage called extrapolation, say three business school professors.
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- December 2022
- Case
Mission Produce in 2022
By: Forest Reinhardt, Jose B. Alvarez and Natalie Kindred
Founded by CEO Steve Barnard in 1983, California-based Mission Produce was a leading supplier of Hass avocados with a global sourcing, marketing, and distribution network and $892 million in 2021 sales. Barnard had been influential in the global avocado trade’s...
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- 2022
- Working Paper
Getting on the Map: The Impact of Online Listings on Business Performance
By: Michael Luca, Abhishek Nagaraj and Gauri Subramani
We evaluate the extent to which small businesses maintain an online presence, looking at restaurant listings on a major online review platform. While the majority of restaurants have an online presence, we find that roughly 18 percent in our sample have no presence as...
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- 2022
- Working Paper
Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development
Predictive model development is understudied despite its importance to modern businesses. Although prior discussions highlight advances in methods (along the dimensions of data, computing power, and algorithms) as the primary driver of model quality, the value of tools...
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Keywords:
Analytics and Data Science
- December 7, 2022
- Article
Why Decentralized Crypto Platforms Are Weathering the Crash
By: Shai Bernstein and Scott Duke Kominers
In the past year, crypto markets dropped from $2.9 trillion in value to around $800 billion. In the wake of the collapse, crypto lenders and exchanges have been accused of fraud and other wrongdoing. What went wrong? One factor is competition. In theory, competition...
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- 2022
- Working Paper
Stories, Statistics and Memory
By: Thomas Graeber, Christopher Roth and Florian Zimmermann
For most decisions, we rely on information encountered over the course of days,
months or years. We consume this information in various forms, including abstract
summaries of multiple data points – statistics – and contextualized anecdotes about
individual instances...
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- December 13, 2022
- Article
6 Ways Companies Fail to Help Workers Grow
By: Joseph Fuller, Matthew Sigelman and Nik Dawson
The authors recently studied Fortune 250 companies and ranked them based on the lived experience of three million of their U.S. workers. One of their key findings was that even top-ranked firms fail to deliver consistently on worker advancement. To understand why this...
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- 2022
- Working Paper
Demand-and-Supply Imbalance Risk and Long-Term Swap Spreads
By: Samuel G. Hanson, Aytek Malkhozov and Gyuri Venter
We develop and test a model in which swap spreads are determined by end users' demand for and constrained intermediaries' supply of long-term interest rate swaps. Swap spreads reflect compensation both for using scarce intermediary capital and for bearing convergence...
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- 2022
- Article
Flatten the Curve: 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. Commonmethods to address these downstream issues, such as adversarial training, are expensive and often...
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- 2022
- Article
OpenXAI: Towards a Transparent Evaluation of Model Explanations
By: Chirag Agarwal, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik and Himabindu Lakkaraju
While several types of post hoc explanation methods have been proposed in recent literature, there is very little work on systematically benchmarking these methods. Here, we introduce OpenXAI, a comprehensive and extensible opensource framework for evaluating and...
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- 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...
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