Publications

June 2024 (Revised August 2024)
Case

Hospital for Special Surgery: Returning to a New Normal? (A)

By: Robert S. Huckman, Michael Lingzhi Li and Camille Gregory

Early on the morning of April 27, 2020, Justin Oppenheimer stood outside the entrance to the lobby of the Hospital for Special Surgery (HSS) Pavilion Building with mixed emotions. On one hand, Oppenheimer, HSS’ Enterprise Chief Operating Officer and Chief Strategy... View Details

Keywords: Operations Management; Scheduling; Optimization; COVID-19; Health Care and Treatment; Operations; Customer Focus and Relationships; Disruption; Health Industry; United States

Educators

Purchase

April 2023
Article

The Real Exchange Rate, Innovation and Productivity

By: Laura Alfaro, Alejandro Cuñat, Harald Fadinger and Yanping Liu

We evaluate manufacturing firms' responses to changes in the real exchange rate (RER) using detailed firm-level data for a large set of countries for the period 2001-2010. We uncover the following stylized facts about regional variation of manufacturing firms'... View Details

Keywords: Real Exchange Rate; Firm Level Data; Innovation; Productivity; Exporting; Importing; Credit Constraints; Currency Exchange Rate; Innovation and Invention; Performance Productivity

30 Sep 2002
Research & Ideas

Your Crisis Response Plan: The Ten Effective Elements

augmented private security. The best plans are worthless if they exist only on paper. There needs to be regular, at least biannual, exercises.— Michael Watkins 9. Regular simulation exercises. The best plans are worthless if they exist... View Details

Keywords: by Michael Watkins

30 Apr 2024
Book

When Managers Set Unrealistic Expectations, Employees Cut Ethical Corners

set aside their ethical qualms in deference to perceived authority figures (Milgram, 1963). Similarly, the 1971 “prison” experiments by Stanford Professor Philip Zimbardo had demonstrated the power of context to alter people’s ethical orientation; after only a few days... View Details

Keywords: by Dina Gerdeman

Article

Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)

By: Eva Ascarza and Ayelet Israeli

An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those “protected”... View Details

Keywords: Algorithm Bias; Personalization; Targeting; Generalized Random Forests (GRF); Discrimination; Customization and Personalization; Decision Making; Fairness; Mathematical Methods

2011
Working Paper

Fairness, Efficiency and Flexibility in Organ Allocation for Kidney Transplantation

By: Dimitris Bertsimas, Vivek F. Farias and Nikolaos Trichakis

We propose a scalable, data-driven method for designing national policies for the allocation of deceased donor kidneys to patients on a waiting list, in a fair and efficient way. We focus on policies that have the same form as the one currently used in the U.S. In... View Details

Keywords: Fairness; Policy; Health Disorders; Marketplace Matching; Performance Effectiveness; Rank and Position; Health Industry; United States

24 Aug 2012
Working Paper Summaries

Equalizing Outcomes vs. Equalizing Opportunities: Optimal Taxation when Children’s Abilities Depend on Parents’ Resources

Keywords: by Alexander Gelber & Matthew Weinzierl

January 2020
Article

Assessing the Safety of Electronic Health Records: A National Longitudinal Study of Medication-related Decision Support

By: A Jay Holmgren, Zoe Co, Lisa Newmark, Melissa Danforth, David Classen and David Bates

Background Electronic health records (EHR) can improve safety via computerised physician order entry with clinical decision support, designed in part to alert providers and prevent potential adverse drug events at entry and before they reach the patient.... View Details

Keywords: Hospital; Electronic Health Records; Health Care and Treatment; Information Technology; Safety; Performance; Quality; Performance Improvement

Register to Read

March 2022
Article

Where to Locate COVID-19 Mass Vaccination Facilities?

By: Dimitris Bertsimas, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li and Alessandro Previero

The outbreak of COVID-19 led to a record-breaking race to develop a vaccine. However, the limited vaccine capacity creates another massive challenge: how to distribute vaccines to mitigate the near-end impact of the pandemic? In the United States in particular, the new... View Details

Keywords: Vaccines; COVID-19; Health Care and Treatment; Health Pandemics; Performance Effectiveness; Analytics and Data Science; Mathematical Methods

Article

Matriarch: A Python Library for Materials Architecture

By: Tristan Giesa, Ravi Jagadeesan, David I. Spivak and Markus J. Buehler

Biological materials, such as proteins, often have a hierarchical structure ranging from basic building blocks at the nanoscale (e.g., amino acids) to assembled structures at the macroscale (e.g., fibers). Current software for materials engineering allows the user to... View Details

Keywords: Building Block; Category Theory; Hierarchical Protein Materials; Molecular Design; Open-Source Software; Structure Creation

Purchase

29 Nov 2022
Research & Ideas

How Much More Would Holiday Shoppers Pay to Wear Something Rare?

we explain this finding is through social influences,” Farronato says. “I can now go around and show off an item that is recognizable to my friends, but also hard to get.” Paying a premium to be trendy The researchers ran simulations to... View Details

Keywords: by Michael Blanding; Retail

2013
Dissertation

Designing Freemium: A Model of Consumer Usage, Upgrade, and Referral Dynamics

By: Clarence Lee, Vineet Kumar and Sunil Gupta

Abstract. Over the past decade "freemium" (free + premium) has become the dominant business model among internet start-ups for its ability to acquire and monetize a large install-base with limited marketing resources. Freemium is a hybrid strategy where a firm offers... View Details

Keywords: Discrete-Continuous Choice Dynamic Structural Models; Bayesian Estimation; Word-of-Mouth; Digital Services; Freemium; Entrepreneurship; Business Model; Motivation and Incentives; Marketing Strategy; Internet and the Web; Consumer Behavior; Marketing Reference Programs; Business Startups

May 2021
Article

Value-Based Healthcare in Urology: A Collaborative Review

By: Chanan Reitblat, Paul A. Bain, Michael E. Porter, David N. Bernstein, Thomas W. Feeley, Markus Graefen, Santosh Iyer, Matthew J. Resnick, C.J. Stimson, Quoc-Dien Trinh and Boris Gershman

Context:
In response to growing concerns over rising costs and major variation in quality, improving value for patients has been proposed as a fundamentally new strategy for how healthcare should be delivered, measured, and... View Details

Keywords: Value-based Healthcare; Integrated Practice Units; Outcome Measurement; Time-Driven Activity-Based Costing; Health Care and Treatment; Value; Cost Management; Strategy; Outcome or Result; Measurement and Metrics

2025
Working Paper

Discrimination, Rejection, and Job Search

By: Anne Boring, Katherine Coffman, Dylan Glover and María José González-Fuentes

We investigate how candidates’ willingness to apply responds to (potential) discrimination and rejection using a simulated labor market. Past work has shown that “blinding” job applications reduces discrimination and increases the rate at which women are hired. Our... View Details

Keywords: Job Search; Prejudice and Bias; Selection and Staffing; Demographics

18 Jun 2024
Research & Ideas

Central Banks Missed Inflation Red Flags. This Pricing Model Could Help.

pandemic- and Ukraine-related supplier disruptions. They followed the frequency and daily price changes on almost 585,000 products from 58 companies in Western Europe and the United States. Using that data, researchers simulated what... View Details

Keywords: by Rachel Layne; Financial Services; Banking

15 Aug 2023
HBS Case

(Virtual) Reality Check: How Long Before We Live in the 'Metaverse'?

coordinating all the pieces of the ecosystem,” he says. “It's not just a matter of a headset. You also have to have content like games or simulations or social media interaction platforms. We still haven't seen what that killer app is... View Details

Keywords: by Jay Fitzgerald; Technology; Computer; Information Technology

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... View Details

Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction

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2021
Working Paper

Supply- and Demand-Side Effects in Performance Appraisals: The Role of Gender and Race

By: Iris Bohnet, Oliver P. Hauser and Ariella Kristal

Performance reviews in firms are common but controversial. Managers’ subjective appraisals of their employees’ performance and employees’ self-evaluations might be affected by demographic characteristics, interact with each other as self-evaluations are typically... View Details

Keywords: Performance Appraisals; Gender; Race; Performance Evaluation