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- 2023
- Working Paper
Design-Based Inference for Multi-arm Bandits
By: Dae Woong Ham, Iavor I. Bojinov, Michael Lindon and Martin Tingley
Multi-arm bandits are gaining popularity as they enable real-world sequential decision-making across application areas, including clinical trials, recommender systems, and online decision-making. Consequently, there is an increased desire to use the available...
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Ham, Dae Woong, Iavor I. Bojinov, Michael Lindon, and Martin Tingley. "Design-Based Inference for Multi-arm Bandits." Harvard Business School Working Paper, No. 24-056, March 2024.
- January 2024
- Article
Cost of Exempting Sole Orphan Drugs from Medicare Negotiation
By: Matthew Vogel, Olivia Zhao, William B. Feldman, Amitabh Chandra, Aaron S. Kesselheim and Benjamin N. Rome
Importance: The Inflation Reduction Act (IRA) requires Medicare to negotiate prices for some high-spending drugs but exempts drugs approved solely for the treatment of a single rare disease.
Objective: To estimate Medicare spending and global... View Details
Objective: To estimate Medicare spending and global... View Details
Vogel, Matthew, Olivia Zhao, William B. Feldman, Amitabh Chandra, Aaron S. Kesselheim, and Benjamin N. Rome. "Cost of Exempting Sole Orphan Drugs from Medicare Negotiation." JAMA Internal Medicine 184, no. 1 (January 2024): 63–69.
- January–February 2024
- Article
Shared Service Delivery Can Increase Client Engagement: A Study of Shared Medical Appointments
By: Ryan W. Buell, Kamalini Ramdas, Nazlı Sönmez, Kavitha Srinivasan and Rengaraj Venkatesh
Problem Definition: Clients and service providers alike often consider one-on-one service delivery to be ideal, assuming – perhaps unquestioningly – that devoting individualized attention best improves client outcomes. In contrast, in shared service delivery, clients...
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Keywords:
Health Care and Treatment;
Customer Satisfaction;
Outcome or Result;
Performance Improvement
Buell, Ryan W., Kamalini Ramdas, Nazlı Sönmez, Kavitha Srinivasan, and Rengaraj Venkatesh. "Shared Service Delivery Can Increase Client Engagement: A Study of Shared Medical Appointments." Manufacturing & Service Operations Management 26, no. 1 (January–February 2024): 154–166.
- November 2023 (Revised April 2024)
- Case
BiomX: Bringing Phage Back to the Stage
By: Paul A. Gompers, Elie Ofek, Orna Dan and Emilie Billaud
In the spring of 2023, and following the favorable results of a trial involving its phage cocktail for treating lung infections among cystic fibrosis (CF) patients, the leadership of BiomX had several critical issues to wrestle with. First, given its precarious...
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Keywords:
Working Capital;
Financing and Loans;
Health Testing and Trials;
Product Development;
Research and Development;
Science-Based Business;
Commercialization;
Biotechnology Industry;
Pharmaceutical Industry
Gompers, Paul A., Elie Ofek, Orna Dan, and Emilie Billaud. "BiomX: Bringing Phage Back to the Stage." Harvard Business School Case 524-051, November 2023. (Revised April 2024.)
- November 2023
- Article
Brokerage House Initial Public Offerings and Analyst Forecast Quality
By: Mark Bradshaw, Michael Drake, Joseph Pacelli and Brady Twedt
We examine how brokerage firm initial public offerings (IPOs) influence the research quality of sell-side analysts employed by the brokerage. Our main results focus on earnings forecast bias and absolute forecast errors as proxies for research quality. Using a...
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Keywords:
IPOs;
Research Analysts;
"Brokerage Industry;
Initial Public Offering;
Employees;
Behavior;
Outcome or Result
Bradshaw, Mark, Michael Drake, Joseph Pacelli, and Brady Twedt. "Brokerage House Initial Public Offerings and Analyst Forecast Quality." Management Science 69, no. 11 (November 2023): 7079–7094.
- November–December 2023
- Article
Keep Your AI Projects on Track
By: Iavor Bojinov
AI—and especially its newest star, generative AI—is today a central theme in corporate boardrooms, leadership discussions, and casual exchanges among employees eager to supercharge their productivity. Sadly, beneath the aspirational headlines and tantalizing potential...
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Keywords:
Generative Models;
AI and Machine Learning;
Success;
Failure;
Product Development;
Technology Adoption
Bojinov, Iavor. "Keep Your AI Projects on Track." Harvard Business Review 101, no. 6 (November–December 2023): 53–59.
- 2023
- Working Paper
Bringing Science to Market: Knowledge Foundations and Performance
By: Justine Boudou and Maria Roche
Possessing unique knowledge is widely considered a critical source of competitive advantage. In this paper, we assess whether new ventures that exploit their founders’ technologically unique knowledge perform better on the exit market than those that do not (or only...
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Keywords:
Firm Performance;
Knowledge Foundations;
Exits;
Academic Startups;
Competitive Advantage;
Value Creation;
Research;
Information Publishing;
Business Startups;
Entrepreneurship
Boudou, Justine, and Maria Roche. "Bringing Science to Market: Knowledge Foundations and Performance." Harvard Business School Working Paper, No. 24-021, October 2023.
- 2023
- Article
On the Impact of Actionable Explanations on Social Segregation
By: Ruijiang Gao and Himabindu Lakkaraju
As predictive models seep into several real-world applications, it has become critical to ensure that individuals who are negatively impacted by the outcomes of these models are provided with a means for recourse. To this end, there has been a growing body of research...
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Gao, Ruijiang, and Himabindu Lakkaraju. "On the Impact of Actionable Explanations on Social Segregation." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 10727–10743.
- May 2023
- Teaching Note
Tesla’s Uncertain Fate as EV Race Accelerates
By: David Collis
Teaching Note for HBS Case No. 722-368. The case describes the strategic position of Tesla in 2021. While the firm has been successful in driving adoption of electric vehicles (EVs) globally and has a huge market share in the segment, it faces an impending tsunami of...
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- 2023
- Working Paper
Feature Importance Disparities for Data Bias Investigations
By: Peter W. Chang, Leor Fishman and Seth Neel
It is widely held that one cause of downstream bias in classifiers is bias present in the training data. Rectifying such biases may involve context-dependent interventions such as training separate models on subgroups, removing features with bias in the collection...
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Chang, Peter W., Leor Fishman, and Seth Neel. "Feature Importance Disparities for Data Bias Investigations." Working Paper, March 2023.
- March–April 2023
- Article
Pricing for Heterogeneous Products: Analytics for Ticket Reselling
By: Michael Alley, Max Biggs, Rim Hariss, Charles Herrmann, Michael Lingzhi Li and Georgia Perakis
Problem definition: We present a data-driven study of the secondary ticket market. In particular, we are primarily concerned with accurately estimating price sensitivity for listed tickets. In this setting, there are many issues including endogeneity, heterogeneity in...
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Keywords:
Price;
Demand and Consumers;
AI and Machine Learning;
Investment Return;
Entertainment and Recreation Industry;
Sports Industry
Alley, Michael, Max Biggs, Rim Hariss, Charles Herrmann, Michael Lingzhi Li, and Georgia Perakis. "Pricing for Heterogeneous Products: Analytics for Ticket Reselling." Manufacturing & Service Operations Management 25, no. 2 (March–April 2023): 409–426.
- February 2023
- Article
Maintaining Health Care Innovations After the Pandemic
By: Regina E. Herzlinger, Barak D. Richman and Kevin A. Schulman
The COVID-19 pandemic exposed the worst failings of the health care system, but it also stimulated a flurry of innovations that could lead to a much-improved delivery system. These were innovations that were born out of necessity: telemedicine access and use...
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Keywords:
Health Care;
Health Care Industry;
Health Care Outcomes;
Innovation;
Innovation In Healthcare Delivery;
COVID;
COVID-19 Pandemic;
Pandemics;
Telemedicine;
Telehealth;
Ambulatory Care;
Vaccines;
Innovation and Invention;
Change;
Health Industry
Herzlinger, Regina E., Barak D. Richman, and Kevin A. Schulman. "Maintaining Health Care Innovations After the Pandemic." e225404. JAMA Health Forum 4, no. 2 (February 2023).
- 2023
- Working Paper
Distributionally Robust Causal Inference with Observational Data
By: Dimitris Bertsimas, Kosuke Imai and Michael Lingzhi Li
We consider the estimation of average treatment effects in observational studies and propose a new framework of robust causal inference with unobserved confounders. Our approach is based on distributionally robust optimization and proceeds in two steps. We first...
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Bertsimas, Dimitris, Kosuke Imai, and Michael Lingzhi Li. "Distributionally Robust Causal Inference with Observational Data." Working Paper, February 2023.
- 2023
- Working Paper
The Link Between Integrative Bargaining and Leadership Evaluations
By: Julian J. Zlatev and Francis J. Flynn
We draw from implicit leadership theory and the dual concern theory of conflict resolution to posit a link
between negotiation style and leadership evaluations. Specifically, we propose that individuals who are
more skilled at integrative, but not distributive,...
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Keywords:
Prosocial Behavior;
Leadership;
Negotiation;
Conflict and Resolution;
Performance Evaluation
Zlatev, Julian J., and Francis J. Flynn. "The Link Between Integrative Bargaining and Leadership Evaluations." Harvard Business School Working Paper, No. 23-044, January 2023.
- October 2022
- Article
It’s Not Just the Prices: Time-Driven Activity-Based Costing for Initiation of Veno-Venous Extracorporeal Membrane Oxygenation at Three International Sites—A Case Review
By: Michael Nurok, Vin Pellegrino, Marc Pineton de Chambrun, Jonathan Warsh, Meredith Young, Erik Dong, Neil Parrish, Syed Shehab, Alain Combes and Robert S. Kaplan
The United States spends more for intensive care units (ICUs) than do other high-income countries. We used time-driven activity-based costing (TDABC) to analyze ICU costs for initiation of extracorporeal membrane oxygenation (ECMO) for respiratory failure to estimate...
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Keywords:
Healthcare;
Cost;
Time-Driven ABC;
Health Care and Treatment;
Cost Management;
Activity Based Costing and Management;
Health Industry
Nurok, Michael, Vin Pellegrino, Marc Pineton de Chambrun, Jonathan Warsh, Meredith Young, Erik Dong, Neil Parrish, Syed Shehab, Alain Combes, and Robert S. Kaplan. "It’s Not Just the Prices: Time-Driven Activity-Based Costing for Initiation of Veno-Venous Extracorporeal Membrane Oxygenation at Three International Sites—A Case Review." Anesthesia & Analgesia 135, no. 4 (October 2022): 711–718.
- Article
All Eyes on Them: A Field Experiment on Citizen Oversight and Electoral Integrity
By: Natalia Garbiras-Díaz and Mateo Montenegro
Can information and communication technologies help citizens monitor their elections? We analyze a large-scale field experiment designed to answer this question in Colombia. We leveraged Facebook advertisements sent to over 4 million potential voters to encourage...
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Keywords:
Social Influence;
Electoral Behavior;
Election Outcomes;
Economics;
Economy;
Governance;
Government and Politics;
Social Media;
Social Marketing;
Society;
Political Elections;
Advertising
Garbiras-Díaz, Natalia, and Mateo Montenegro. "All Eyes on Them: A Field Experiment on Citizen Oversight and Electoral Integrity." American Economic Review 112, no. 8 (August 2022): 2631–2668.
- August 2022
- Article
Availability of New Medicines in the U.S. and Germany From 2004 to 2018
By: Katharina Blankart, Huseyin Naci and Amitabh Chandra
Importance: Germany's unique approach to coverage determination and pricing has ensured that effective medicines remain on the market, often at prices reduced through negotiation. However, less is known about trade-offs of this approach with regard to initial...
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Keywords:
Market Entry and Exit;
Price;
Market Timing;
Governing Rules, Regulations, and Reforms;
Pharmaceutical Industry;
United States;
Germany
Blankart, Katharina, Huseyin Naci, and Amitabh Chandra. "Availability of New Medicines in the U.S. and Germany From 2004 to 2018." e2229231. JAMA Network Open 5, no. 8 (August 2022).
- 2022
- Working Paper
Can a Website Bring Unemployment Down? Experimental Evidence from France
By: Aïcha Ben Dhia, Bruno Crépon, Esther Mbih, Louise Paul-Delvaux, Bertille Picard and Vincent Pons
We evaluate the impact of an online platform giving job seekers tips to improve their search and recommendations of new occupations and locations to target, based on their personal data and labor market data. Our experiment used an encouragement design and was...
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Keywords:
Online Platform;
Digital Platform;
Unemployment;
Encouragement Design;
Job Search;
Jobs and Positions;
Internet and the Web;
Well-being;
Outcome or Result;
Digital Platforms;
France
Ben Dhia, Aïcha, Bruno Crépon, Esther Mbih, Louise Paul-Delvaux, Bertille Picard, and Vincent Pons. "Can a Website Bring Unemployment Down? Experimental Evidence from France." NBER Working Paper Series, No. 29914, April 2022.
- March 2022
- Article
Gender Gaps in Venture Capital Performance
By: Paul A. Gompers, Vladimir Muhkarlyamov, Emily Weisburst and Yuhai Xuan
We explore gender differences in performance in a comprehensive sample of venture capital investments in the United States. Investments by female venture capital investors have significantly lower success rates than investments by their male colleagues when controlling...
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Gompers, Paul A., Vladimir Muhkarlyamov, Emily Weisburst, and Yuhai Xuan. "Gender Gaps in Venture Capital Performance." Journal of Financial and Quantitative Analysis 57, no. 2 (March 2022): 485–513.
- January 17, 2022
- Article
Reducing Racial Disparities in Cancer Outcomes
By: Kathy Giusti and Richard G. Hamermesh
A disproportionate number of Black patients die from cancer in the United States. A key to addressing this problem is enrolling more Black patients in clinical trials. A strategy consisting of these three parts can help accomplish this goal: 1) centralize information...
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Giusti, Kathy, and Richard G. Hamermesh. "Reducing Racial Disparities in Cancer Outcomes." Harvard Business Review (website) (January 17, 2022).