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- 2023
- Working Paper
Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality
By: Frabrizio Dell'Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon and Karim R. Lakhani
The public release of Large Language Models (LLMs) has sparked tremendous
interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of
tasks. In our study conducted with Boston Consulting Group, a global management
consulting firm, we...
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Keywords:
Large Language Model;
AI and Machine Learning;
Performance Efficiency;
Performance Improvement
Dell'Acqua, Frabrizio, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon, and Karim R. Lakhani. "Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality." Harvard Business School Working Paper, No. 24-013, September 2023.
- 2023
- Article
Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators
By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill
Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in...
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Jakubowski, Benjamin, Siram Somanchi, Edward McFowland III, and Daniel B. Neill. "Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators." Journal of Machine Learning Research 24, no. 133 (2023): 1–57.
- April 2023
- Article
Perceptions Related to Engaging in Non-driving Activities in an Automated Vehicle While Commuting: A Text Mining Approach
By: Yilun Xing, Linda Ng Boyle, Raffaella Sadun, John D. Lee, Orit Shaer and Andrew Kun
Automated vehicles (AVs) offer human operators the opportunity to participate in non-driving activities while on the move. In this study, we examined and compared drivers' perception of non-driving activities in two driving modes: highly AVs in the future and current...
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Xing, Yilun, Linda Ng Boyle, Raffaella Sadun, John D. Lee, Orit Shaer, and Andrew Kun. "Perceptions Related to Engaging in Non-driving Activities in an Automated Vehicle While Commuting: A Text Mining Approach." Transportation Research Part F: Traffic Psychology and Behaviour 94 (April 2023): 305–320.
- 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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Everhart, Alexander O., Soumya Sen, Ariel D. Stern, Yi Zhu, and Pinar Karaca-Mandic. "Association Between Regulatory Submission Characteristics and Recalls of Medical Devices Receiving 510(k) Clearance." JAMA, the Journal of the American Medical Association 329, no. 2 (2023): 144–156.
- December 2022
- Article
The Task Bind: Explaining Gender Differences in Managerial Tasks and Performance
This multi-method study of managers in a grocery chain identifies a novel mechanism by which threats of gender stereotypes undermine women’s ability to be effective managers. I find that women managers face a task bind, a dilemma that managers experience as they try to...
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Feldberg, Alexandra C. "The Task Bind: Explaining Gender Differences in Managerial Tasks and Performance." Administrative Science Quarterly 67, no. 4 (December 2022): 1049–1092.
- December 2022
- Article
Two Representations of Information Structures and Their Comparisons
By: Jerry R. Green and Nancy L. Stokey
This paper compares two representations of informativeness.
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Green, Jerry R., and Nancy L. Stokey. "Two Representations of Information Structures and Their Comparisons." Decisions in Economics and Finance 45, no. 2 (December 2022): 541–547.
- 2022
- White Paper
The American Opportunity Index: A Corporate Scorecard of Worker Advancement
By: Matt Sigelman, Joseph Fuller, Nik Dawson and Gad Levanon
The American Opportunity Index: A Corporate Scorecard of Worker Advancement is a new effort to give companies and other stakeholders a set of robust tools that measure how well major employers are doing in fostering economic mobility for workers and how they could do...
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Keywords:
Upward Mobility;
Career Advancement;
Personal Development and Career;
Compensation and Benefits;
Employees;
Wages;
Human Capital;
Recruitment
Sigelman, Matt, Joseph Fuller, Nik Dawson, and Gad Levanon. "The American Opportunity Index: A Corporate Scorecard of Worker Advancement." White Paper, Burning Glass Institute, October 2022 (A joint project with Harvard Business School Project on Managing the Future of Work and Schultz Family Foundation.)
- June 2022
- Case
Business Implications from Regulating Carbon Emissions in the EU
By: George Serafeim and Benjamin Maletta
In the beginning of the 21st century, the European Union (the EU) had led the global fight against climate change with a wide array of policy measures. The EU’s primary approach to climate policy had been taxation via the European Union Emissions Trading System (EU...
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Keywords:
Regulation;
Carbon Emissions;
Trade;
Sustainability;
Decarbonization;
Performance;
Climate Change;
Analysis;
Strategy;
Taxation;
Policy;
Environmental Regulation;
Industry Structures;
European Union
Serafeim, George, and Benjamin Maletta. "Business Implications from Regulating Carbon Emissions in the EU." Harvard Business School Case 122-106, June 2022.
- 2022
- Article
Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods.
By: Chirag Agarwal, Marinka Zitnik and Himabindu Lakkaraju
As Graph Neural Networks (GNNs) are increasingly employed in real-world applications, it becomes critical to ensure that the stakeholders understand the rationale behind their predictions. While several GNN explanation methods have been proposed recently, there has...
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Keywords:
Graph Neural Networks;
Explanation Methods;
Mathematical Methods;
Framework;
Theory;
Analysis
Agarwal, Chirag, Marinka Zitnik, and Himabindu Lakkaraju. "Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 25th (2022).
- 2022
- Working Paper
Small Campaign Donors
By: Laurent Bouton, Julia Cagé, Edgard Dewitte and Vincent Pons
In this paper, we study the characteristics and behavior of small donors, and compare them to those of large donors. We first build a novel dataset including all the 340 million individual contributions reported to the U.S. Federal Election Commission between 2005 and...
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Keywords:
Campaign Finance;
Campaign Contributions;
Small Donations;
ActBlue;
WinRed;
TV Advertising;
Political Elections;
Finance;
Demographics;
Advertising;
Analysis;
Analytics and Data Science
Bouton, Laurent, Julia Cagé, Edgard Dewitte, and Vincent Pons. "Small Campaign Donors." NBER Working Paper Series, No. 30050, May 2022.
- 2022
- Working Paper
Reputation Burning: Analyzing the Impact of Brand Sponsorship on Social Influencers
By: Magie Cheng and Shunyuan Zhang
The growth of the influencer marketing industry warrants an empirical examination of the effect of posting sponsored videos on an influencer’s reputation. We collect a novel dataset of user-generated YouTube videos created by prominent English-speaking influencers in...
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Keywords:
Influencer Marketing;
Social Influencers;
Brand;
Sponsorship;
Video Analytics;
Marketing;
Brands and Branding;
Media;
Reputation
Cheng, Magie, and Shunyuan Zhang. "Reputation Burning: Analyzing the Impact of Brand Sponsorship on Social Influencers." Harvard Business School Working Paper, No. 22-067, April 2022.
- February 18, 2022
- Article
Transparency as a Solution for COVID-19 Related Hospital Capacity Issues
By: Regina E. Herzlinger and Richard Boxer
In the initial phases of the COVID-19 pandemic, many U.S. hospitals could not provide an adequate supply of beds to meet demand. Solving the problem of hospital bed capacity is of great importance in the “new normal,” which requires recognizing that SARS-CoV-2 is but...
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Keywords:
COVID;
COVID-19 Pandemic;
Health Care;
Health Care Demand;
Health Care Delivery;
Health Care Industry;
Health Care Operations;
Health Care Policy;
Transparency;
Hospital;
Hospital Management;
Hospitals;
Health Pandemics;
Health Care and Treatment;
Service Delivery;
Operations;
Performance Capacity;
Policy;
Health Industry
Herzlinger, Regina E., and Richard Boxer. "Transparency as a Solution for COVID-19 Related Hospital Capacity Issues." Health Affairs Forefront (February 18, 2022).
- 2022
- Working Paper
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
By: Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu and Himabindu Lakkaraju
As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with each other, and how...
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Krishna, Satyapriya, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu, and Himabindu Lakkaraju. "The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective." Working Paper, 2022.
- January 2022
- Teaching Plan
Just Arrived: Integrating Refugees in Sweden
By: Brian Trelstad and Emilie Billaud
Teaching Plan for HBS Case No. 321-040. Just Arrived is an online platform that matches newly-arrived immigrants in Sweden with employment opportunities. As one of several for-profit and non-profit start-ups in Europe that is looking to address the refugee crisis, the...
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- Article
A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects
By: Edward McFowland III, Sandeep Gangarapu, Ravi Bapna and Tianshu Sun
We define a prescriptive analytics framework that addresses the needs of a constrained decision-maker facing, ex ante, unknown costs and benefits of multiple policy levers. The framework is general in nature and can be deployed in any utility maximizing context, public...
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Keywords:
Prescriptive Analytics;
Heterogeneous Treatment Effects;
Optimization;
Observed Rank Utility Condition (OUR);
Between-treatment Heterogeneity;
Machine Learning;
Decision Making;
Analysis;
Mathematical Methods
McFowland III, Edward, Sandeep Gangarapu, Ravi Bapna, and Tianshu Sun. "A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects." MIS Quarterly 45, no. 4 (December 2021): 1807–1832.
- Winter 2021
- Article
Mobile Internet Usage and Usage-based Pricing
By: Jeffrey Prince and Shane Greenstein
Using data on mobile Internet usage of thousands of individuals, we provide some of the first analyses linking mobile usage to key demographics such as income. We find a reverse-U relationship between mobile Internet usage and income—notably different than the...
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Keywords:
Mobile Internet Usage;
Pricing Strategy;
Internet and the Web;
Mobile and Wireless Technology;
Demographics;
Income;
Price;
Strategy
Prince, Jeffrey, and Shane Greenstein. "Mobile Internet Usage and Usage-based Pricing." Journal of Economics & Management Strategy 30, no. 4 (Winter 2021): 760–783.
- October 1, 2021
- Article
An Evaluation of Cross-efficiency Methods: With an Application to Warehouse Performance.
By: B.M. Balk, M.R. De Koster, Christian Kaps and J.L. Zofio
Cross-efficiency measurement is an extension of Data Envelopment Analysis that allows for tie-breaking ranking of the Decision Making Units (DMUs) using all the peer evaluations. In this article we examine the theory of cross-efficiency measurement by comparing a...
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Keywords:
Efficiency Analysis;
Performance Benchmarking;
Warehousing;
Analytics and Data Science;
Performance Evaluation;
Measurement and Metrics;
Mathematical Methods
Balk, B.M., M.R. De Koster, Christian Kaps, and J.L. Zofio. "An Evaluation of Cross-efficiency Methods: With an Application to Warehouse Performance." Art. 126261. Applied Mathematics and Computation 406 (October 1, 2021).
- Article
Biosimilars and Follow-On Products in the United States: Adoption, Prices, and Users
By: Ariel Dora Stern, Jacqueline L. Chen, Melissa Ouellet, Mark R. Trusheim, Zeid El-Kilani, Amber Jessup and Ernst R. Berndt
Biologic drugs account for a disproportionate share of the increase in pharmaceutical spending in the U.S. and worldwide. Against this backdrop, many look to the expanding market for biosimilars—follow-on products to biologic drugs—as a vehicle for controlling...
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Keywords:
Pharmaceuticals;
Drug Spending;
Drug Pricing;
Health Care and Treatment;
Spending;
Price;
Markets;
Cost Management;
United States
Stern, Ariel Dora, Jacqueline L. Chen, Melissa Ouellet, Mark R. Trusheim, Zeid El-Kilani, Amber Jessup, and Ernst R. Berndt. "Biosimilars and Follow-On Products in the United States: Adoption, Prices, and Users." Health Affairs 40, no. 6 (June 2021): 989–999.
- 2021
- Working Paper
The Great Unequalizer: Initial Health Effects of COVID-19 in the United States
By: Marcella Alsan, Amitabh Chandra and Kosali I. Simon
We measure inequities from the COVID-19 pandemic on mortality and hospitalizations in the United States during the early months of the outbreak. We discuss challenges in measuring health outcomes and health inequality, some of which are specific to COVID-19 and others...
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Alsan, Marcella, Amitabh Chandra, and Kosali I. Simon. "The Great Unequalizer: Initial Health Effects of COVID-19 in the United States." NBER Working Paper Series, No. 28958, June 2021.
- Article
Use of Connected Digital Products in Clinical Research Following the COVID-19 Pandemic: A Comprehensive Analysis of Clinical Trials
By: Caroline Marra, William J. Gordon and Ariel Dora Stern
Objectives: In an effort to mitigate COVID-19 related challenges for clinical research, the U.S. Food and Drug Administration (FDA) issued new guidance for the conduct of ‘virtual’ clinical trials in late March 2020. This study documents trends in the use of...
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Keywords:
Connected Digital Products;
Telehealth;
Remote Monitoring;
Health Testing and Trials;
Research;
Governing Rules, Regulations, and Reforms;
Information Technology
Marra, Caroline, William J. Gordon, and Ariel Dora Stern. "Use of Connected Digital Products in Clinical Research Following the COVID-19 Pandemic: A Comprehensive Analysis of Clinical Trials." BMJ Open 11, no. 6 (2021).