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- 2024
- Working Paper
Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference
By: Michael Lindon, Dae Woong Ham, Martin Tingley and Iavor I Bojinov
Linear regression adjustment is commonly used to analyze randomized controlled experiments due to its efficiency and robustness against model misspecification. Current testing and interval estimation procedures leverage the asymptotic distribution of such estimators to...
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Lindon, Michael, Dae Woong Ham, Martin Tingley, and Iavor I Bojinov. "Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference." Harvard Business School Working Paper, No. 24-060, March 2024.
- March 2024
- Background Note
Physical Climate Risk
By: Michael W. Toffel, Spencer Glendon and Alison Smart
This note describes how managers can identify their company’s physical climate risks, which can heighten the risk of business disruption, change the costs of operations and supply chains, and affect the demand for their goods and services. The note also provides a...
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Keywords:
Climate Change;
Adaptation;
Resilience;
Maps;
Climate Risk;
Climate Impact;
Modeling And Analysis
- March 2024
- Supplement
ELCA's Series A Cap Table Exercise (Student Version)
By: Ray Kluender, Anke Becker and Johnson Elugbadebo
In ELCA, the company must decide between two term sheets: one put forth by STV and one put forth by ESV.
This exercise is an analysis of the implications of these two term sheets on the ownership structure and the payouts of common and preferred shareholders in case...
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- February 2024
- Technical Note
A Manager's Introduction to Passion for Work
Today, both organizations and employees are increasingly focused on passion. An analysis of 200 million U.S. job postings found that the use of the word “passion” increased nearly tenfold from 2007 to 2019, while a recent survey of thousands of college-educated...
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Jachimowicz, Jon M. "A Manager's Introduction to Passion for Work." Harvard Business School Technical Note 424-071, February 2024.
- 2024
- Working Paper
Precautionary Debt Capacity
By: Deniz Aydin and Olivia S. Kim
Firms with ample financial slack are unconstrained... or are they? In a field experiment
that randomly expands debt capacity on business credit lines, treated small-and-medium
enterprises (SMEs) draw down 35 cents on the dollar of expanded debt capacity in...
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Aydin, Deniz, and Olivia S. Kim. "Precautionary Debt Capacity." Harvard Business School Working Paper, No. 24-053, February 2024.
- February 2024
- Case
CLSA: Integrating ESG in Stock Valuation
By: Shirley Lu, Aaron Yoon and Billy Chan
In 2023, a senior financial analyst at the Hong Kong-based stock brokerage firm CLSA was surprised to see that, based on his calculations, the financial impact from climate risks on a major Indian cement manufacturing company’s projected earnings could be massive....
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- February 2024
- Case
ReSpo.Vision: The Kickstart of an AI Sports Revolution
By: Paul A. Gompers, Elena Corsi and Nikolina Jonsson
This case study explores the growth journey of Polish computer vision sports start-up ReSpo.Vision in an emerging entrepreneurial ecosystem. By providing 3D data and analysis to soccer clubs, ReSpo.Vision achieved significant milestones with a €1 million seed round, an...
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Keywords:
Business Startups;
Business Plan;
Experience and Expertise;
Talent and Talent Management;
Decisions;
Decision Choices and Conditions;
Forecasting and Prediction;
Entrepreneurship;
Venture Capital;
AI and Machine Learning;
Analytics and Data Science;
Applications and Software;
Sports Industry;
Technology Industry;
Poland;
Europe
- February 2024
- Case
Can Cities Beat the Heat? (A): A Comparative Analysis of Climate Actions and Change Enablers in 14 U.S. Cities
By: Rosabeth Moss Kanter and Jacob A. Small
Throughout the early 2000's, emphasis was placed on initiatives to adapt to and mitigate climate action in cities. This series presents overviews (snapshots) of 14 U.S. metropolitan regions to help identify similarities, differences, and opportunities for developing...
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- February 2024
- Article
Archetypes of Product Launch by Insiders, Outsiders, and Visionaries
By: Shane Greenstein
What archetypes emerge from prominent episodes of product launches? This essay examines a set of episodes in information technology history that led to significant changes in industry leadership. It highlights that, in all of these instances, there is an example of a...
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Greenstein, Shane. "Archetypes of Product Launch by Insiders, Outsiders, and Visionaries." Special Issue on Knowledge Resources and Heterogeneity of Entrants within and across Industries. Industrial and Corporate Change 33, no. 1 (February 2024): 216–237.
- 2024
- Article
Beyond the 510(k): The Regulation of Novel Moderate-Risk Medical Devices, Intellectual Property Considerations, and Innovation Incentives in the FDA’s De Novo Pathway
By: Mateo Aboy, Cristina Crespo and Ariel Stern
Moderate-risk medical devices constitute 99% of those that have been regulated by the U.S. Food and Drug Administration (FDA) since it gained authority to regulate medical technology nearly five decades ago. This article presents an analysis of the interaction between...
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Keywords:
Governing Rules, Regulations, and Reforms;
Health Care and Treatment;
Technology Adoption;
Technological Innovation;
Safety;
Medical Devices and Supplies Industry;
United States
Aboy, Mateo, Cristina Crespo, and Ariel Stern. "Beyond the 510(k): The Regulation of Novel Moderate-Risk Medical Devices, Intellectual Property Considerations, and Innovation Incentives in the FDA’s De Novo Pathway." Art. 29. npj Digital Medicine 7 (2024).
- 2024
- Chapter
Regulating Collective Emotions
By: Amit Goldenberg
When we think of emotion and emotion regulation, we typically think of them as processes occurring at the individual level. Even when emotions are experienced by multiple people who interact with each other, analysis is typically centered around individual-level...
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Goldenberg, Amit. "Regulating Collective Emotions." Chap. 22 in Handbook of Emotion Regulation. Third Edition edited by James J. Gross and Brett Q. Ford, 183–189. Guilford Press, 2024.
- January 2024 (Revised February 2024)
- Exercise
Travelogo: Understanding Customer Journeys
By: Eva Ascarza, Nicolas Padilla and Oded Netzer
In late May 2023, Sarah Merino, the newly appointed manager of the Customer Insights group at Travelogo—an online travel booking platform—initiates a comprehensive analysis of clickstream data to understand the varied behaviors and needs of their users. In preparation...
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Ascarza, Eva, Nicolas Padilla, and Oded Netzer. "Travelogo: Understanding Customer Journeys." Harvard Business School Exercise 524-044, January 2024. (Revised February 2024.)
- January 2024
- Article
A Cost Model for a Low Threshold Clinic Treating Opioid Use Disorder
By: Sarah E. Wakeman, Elizabeth Powell, Syed Shehab, Grace Herman, Laura Kehoe and Robert S. Kaplan
The US fee-for-service payment system under-reimburses clinics offering access to comprehensive treatments for opioid use disorder (OUD). The funding shortfall limits a clinic’s ability to expand and improve access, especially for socially marginalized patients with...
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Wakeman, Sarah E., Elizabeth Powell, Syed Shehab, Grace Herman, Laura Kehoe, and Robert S. Kaplan. "A Cost Model for a Low Threshold Clinic Treating Opioid Use Disorder." Journal of Behavioral Health Services & Research 51, no. 1 (January 2024): 22–30.
- January 2024
- Article
Population Interference in Panel Experiments
By: Kevin Wu Han, Guillaume Basse and Iavor Bojinov
The phenomenon of population interference, where a treatment assigned to one experimental unit affects another experimental unit’s outcome, has received considerable attention in standard randomized experiments. The complications produced by population interference in...
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Han, Kevin Wu, Guillaume Basse, and Iavor Bojinov. "Population Interference in Panel Experiments." Journal of Econometrics 238, no. 1 (January 2024).
- 2024
- Conference Paper
Quantifying Uncertainty in Natural Language Explanations of Large Language Models
By: Himabindu Lakkaraju, Sree Harsha Tanneru and Chirag Agarwal
Large Language Models (LLMs) are increasingly used as powerful tools for several
high-stakes natural language processing (NLP) applications. Recent prompting
works claim to elicit intermediate reasoning steps and key tokens that serve as
proxy explanations for LLM...
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Lakkaraju, Himabindu, Sree Harsha Tanneru, and Chirag Agarwal. "Quantifying Uncertainty in Natural Language Explanations of Large Language Models." Paper presented at the Society for Artificial Intelligence and Statistics, 2024.
- January, 2024
- Article
Subset Scanning for Multi-Trait Analysis Using GWAS Summary Statistics
By: Rui Cao, Evan Olawsky, Edward McFowland III, Erin Marcotte, Logan Spector and Tianzhong Yang
Multi-trait analysis has been shown to have greater statistical power than single-trait analysis. Most of the existing multi-trait analysis methods only work with a limited number of traits and usually prioritize high statistical power over identifying relevant traits,...
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Cao, Rui, Evan Olawsky, Edward McFowland III, Erin Marcotte, Logan Spector, and Tianzhong Yang. "Subset Scanning for Multi-Trait Analysis Using GWAS Summary Statistics." Bioinformatics 40, no. 1 (January, 2024).
- December 2023
- Article
Association of Hospital System Affiliation with COVID-19 Capacity Burden
By: Zachary Levin, Pinar Karaca-Mandic, Richard J. Boxer and Regina E. Herzlinger
What is the message? The COVID-19 pandemic exposed the highly variable and uncoordinated responses by hospitals. The authors found that while the non-top ten system affiliated hospitals had a larger COVID-19 share index relative to independent hospitals, top-ten system...
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Keywords:
COVID-19 Pandemic;
Resource Allocation;
Health Pandemics;
Demographics;
Health Care and Treatment;
Health Industry
Levin, Zachary, Pinar Karaca-Mandic, Richard J. Boxer, and Regina E. Herzlinger. "Association of Hospital System Affiliation with COVID-19 Capacity Burden." Health Management, Policy and Innovation 8, no. 3 (December 2023).
- 2023
- Book
Beyond AI: ChatGPT, Web3, and the Business Landscape of Tomorrow
By: Ken Huang, Yang Wang, Feng Zhu, Xi Chen and Chunxiao Xing
This book explores the transformative potential of ChatGPT, Web3, and their impact on productivity and various industries. It delves into Generative AI (GenAI) and its representative platform ChatGPT, their synergy with Web3, and how they can revolutionize business...
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Huang, Ken, Yang Wang, Feng Zhu, Xi Chen, and Chunxiao Xing, eds. Beyond AI: ChatGPT, Web3, and the Business Landscape of Tomorrow. Springer, 2023.
- 2023
- Working Paper
Can Digitalization Improve Public Services? Evidence from Innovation in Energy Management
By: Robyn C. Meeks, Jacquelyn Pless and Zhenxuan Wang
This paper examines how digitalization impacts public service provision through a study of the U.S. power sector. We exploit the staggered timing of electric utilities’ investments in “smart” meters and find that electricity losses per unit sold decrease by 3.6%. This...
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Keywords:
Electric Utility;
Energy Management;
Smart Meters;
Energy;
Climate Change;
State Ownership;
Private Ownership;
Technology Adoption;
Energy Industry;
Utilities Industry;
United States
Meeks, Robyn C., Jacquelyn Pless, and Zhenxuan Wang. "Can Digitalization Improve Public Services? Evidence from Innovation in Energy Management." MIT CEEPR Working Paper Series, No. 2023-22, December 2023.
- 2023
- Working Paper
The Uneven Impact of Generative AI on Entrepreneurial Performance
By: Nicholas G. Otis, Rowan Clarke, Solène Delecourt, David Holtz and Rembrand Koning
There is a growing belief that scalable and low-cost AI assistance can improve firm
decision-making and economic performance. However, running a business involves
a myriad of open-ended problems, making it hard to generalize from recent studies
showing that...
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Keywords:
AI and Machine Learning;
Performance Improvement;
Small Business;
Decision Choices and Conditions;
Kenya
Otis, Nicholas G., Rowan Clarke, Solène Delecourt, David Holtz, and Rembrand Koning. "The Uneven Impact of Generative AI on Entrepreneurial Performance." Harvard Business School Working Paper, No. 24-042, December 2023.