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- March 2023
- Article
Learning to Successfully Hire in Online Labor Markets
By: Marios Kokkodis and Sam Ransbotham
Hiring in online labor markets involves considerable uncertainty: which hiring choices are more likely to yield successful outcomes and how do employers adjust their hiring behaviors to make such choices? We argue that employers will initially explore the value of...
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- February 2023
- Article
Homophily and Acrophily as Drivers of Political Segregation
By: Amit Goldenberg, Joseph M. Abruzzo, Zi Huang, Jonas Schone, David Bailey, Robb Willer, Eran Halperin and James J. Gross
Political segregation is an important social problem, increasing polarization and impeding effective governance. Previous work has viewed the central driver of segregation to be political homophily, the tendency to associate with others who have similar views. Here we...
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- January 23, 2023
- Article
Digital Public Health Interventions at Scale: The Impact of Social Media Advertising on Beliefs and Outcomes Related to COVID Vaccines
By: Susan Athey, Kristen Grabarz, Michael Luca and Nils Wernerfelt
Public health organizations increasingly use social media advertising campaigns in pursuit of public health goals. In this paper, we evaluate the impact of about $40 million of social media advertisements that were run and experimentally tested on Facebook and...
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- 2023
- Working Paper
Self-Preferencing at Amazon: Evidence from Search Rankings
By: Chiara Farronato, Andrey Fradkin and Alexander MacKay
We study whether Amazon engages in self-preferencing on its marketplace by favoring its own brands (e.g., Amazon Basics) in search. To address this question, we collect new micro-level consumer search data using a custom browser extension installed by a panel of study...
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- 2022
- Working Paper
Post-market Surveillance of Software Medical Devices: Evidence from Regulatory Data
By: Alexander O. Everhart and Ariel D. Stern
Medical devices increasingly include software components, which facilitate remote patient monitoring. The introduction of software into previously analog medical devices as well as innovation in software-driven devices may introduce new safety concerns—all the more so...
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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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- December 2022
- Article
Fostering Perceptions of Authenticity via Sensitive Self-Disclosure
By: Li Jiang, Leslie K. John, Reihane Boghrati and Maryam Kouchaki
Leaders’ perceived authenticity—the sense that leaders are acting in accordance with their “true self”—is associated with positive outcomes for both employees and organizations alike. How might leaders foster this impression? We show that sensitive self-disclosure, in...
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- November 2022
- Case
Ajax Health: A New Model for Medical Technology Innovation
By: Regina E. Herzlinger and Ben Creo
This case teaches key success factors for both startups and established medtech firms. It examines how to structure a firm to maximize financial returns. Medtech entrepreneur Duke Rohlen is proposing a new model for innovation and business growth. From 2007 to 2019,...
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- November 2022
- Teaching Note
Proximie: Using XR Technology to Create Borderless Operating Rooms
By: Ariel D. Stern, Alpana Thapar and Menna Hassan
Founded by Nadine Hachach-Haram in 2016, Proximie was a digital medicine platform that used mixed reality and a host of digital audio and visual tools to enable clinicians, proctors, and medical device company personnel to be virtually present in operating rooms (ORs),...
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- November 15, 2022
- Article
What Really Makes Toyota’s Production System Resilient
By: Willy C. Shih
Toyota has fared better than many of its competitors in riding out the supply chain disruptions of recent years. But focusing on how Toyota had stockpiled semiconductors and the problems of other manufacturers, some observers jumped to the conclusion that the era of...
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Keywords:
Supplier Relationships;
Manufacturing;
Supply Chain;
Production;
Auto Industry;
United States;
Japan
- November 2022
- Article
My Boss' Passion Matters as Much as My Own: The Interpersonal Dynamics of Passion Are a Critical Driver of Performance Evaluations
By: Jon M. Jachimowicz, Andreas Wihler and Adam D. Galinsky
Companies often celebrate employees who successfully pursue their passion. Academic research suggests that these positive evaluations occur because of the passion percolating inside the employee. We propose that supervisors are also a key piece of this puzzle:...
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- November–December 2022
- Article
Number One in Formula One: Leadership Lessons from Toto Wolff and Mercedes, the Team behind One of the Greatest Winning Streaks in All of Sports
By: Anita Elberse
Toto Wolff, the team principal for Mercedes-AMG Petronas—arguably the most impressive team in F1 racing history—has led his organization to unparalleled success. Mercedes earned the Constructors’ Championship (for best overall team performance) every year from 2014...
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- October 2022 (Revised December 2022)
- Case
SMART: AI and Machine Learning for Wildlife Conservation
By: Brian Trelstad and Bonnie Yining Cao
Spatial Monitoring and Reporting Tool (SMART), a set of software and analytical tools designed for the purpose of wildlife conservation, had demonstrated significant improvements in patrol coverage, with some observed reductions in poaching and contributing to wildlife...
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- 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...
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- Working Paper
Representation and Extrapolation: Evidence from Clinical Trials
By: Marcella Alsan, Maya Durvasula, Harsh Gupta, Joshua Schwartzstein and Heidi L. Williams
This article examines the consequences and causes of low enrollment of Black patients in clinical
trials. We develop a simple model of similarity-based extrapolation that predicts that evidence is
more relevant for decision-making by physicians and patients when it...
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- 2022
- Working Paper
Perceptions about Monetary Policy
By: Michael D. Bauer, Carolin Pflueger and Adi Sunderam
We estimate perceptions about the Fed's monetary policy rule from micro data on professional forecasters. The perceived rule varies significantly over time, with important consequences for monetary policy and bond markets. Over the monetary policy cycle, easings are...
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- 2022
- Article
Rapid Growth of Remote Patient Monitoring Is Driven by a Small Number of Primary Care Providers
By: Mitchell Tang, Ateev Mehrotra and Ariel Dora Stern
Growing enthusiasm for remote patient monitoring has been motivated by the hope that it can improve care for patients with poorly controlled chronic illness. In a national commercially insured population in the U.S., we found that billing for remote patient monitoring...
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- September 2022
- Article
Tone at the Bottom: Measuring Corporate Misconduct Risk from the Text of Employee Reviews
By: Dennis W. Campbell and Ruidi Shang
This paper examines whether information extracted via text-based statistical methods applied to employee reviews left on the website Glassdoor.com can be used to develop indicators of corporate misconduct risk. We argue that inside information on the incidence of...
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- 2022
- Working Paper
Can Finance Save the World? Measurement and Effects of Coal Divestment Policies by Banks
By: Daniel Green and Boris Vallée
We study whether divestment policies are an effective tool to address climate change, using coal lending bans by banks around the world as a laboratory. In contrast to theories arguing divestment is ineffective because capital is highly subsitutable, we find large...
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- 2022
- Article
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations
By: Jessica Dai, Sohini Upadhyay, Ulrich Aivodji, Stephen Bach and Himabindu Lakkaraju
As post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to ensure that the quality of the resulting explanations is consistently high across all subgroups of a population. For instance, it...
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