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All HBS Web
(2,872)
- Faculty Publications (951)
- October 17, 2022
- Article
Relational Diversity in Social Portfolios Predicts Well-Being
By: Hanne K. Collins, Serena F. Hagerty, Jordi Quoidbach, Michael I. Norton and Alison Wood Brooks
We document a link between the relational diversity of one’s social portfolio—the richness and evenness of relationship types across one’s social interactions—and well-being. Across four distinct samples, respondents from the United States who completed a preregistered...
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Keywords:
Social Interaction;
Social Engagement;
Well-being;
Happiness;
Social and Collaborative Networks;
Family and Family Relationships
Collins, Hanne K., Serena F. Hagerty, Jordi Quoidbach, Michael I. Norton, and Alison Wood Brooks. "Relational Diversity in Social Portfolios Predicts Well-Being." Proceedings of the National Academy of Sciences 119, no. 43 (October 17, 2022).
- 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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Keywords:
Machine Learning;
Econometric Analysis;
Instrumental Variable;
Random Forest;
Causal Inference;
AI and Machine Learning;
Forecasting and Prediction
Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.
- October 2022
- Article
Revisiting Extraversion and Leadership Emergence: A Social Network Churn Perspective
By: Blaine Landis, Jon M. Jachimowicz, Dan J. Wang and Robert W. Krause
One of the classic relationships in personality psychology is that extraversion is associated with emerging as an informal leader. However, recent findings raise questions about the longevity of extraverted individuals as emergent leaders. Here, we adopt a social...
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Keywords:
Extraversion;
Social Networks;
Emergent Leadership;
Leadership Development;
Personal Characteristics;
Perception
Landis, Blaine, Jon M. Jachimowicz, Dan J. Wang, and Robert W. Krause. "Revisiting Extraversion and Leadership Emergence: A Social Network Churn Perspective." Journal of Personality and Social Psychology 123, no. 4 (October 2022): 811–829.
- October 2022
- Article
Underestimating Counterparts' Learning Goals Impairs Conflictual Conversations
By: Hanne K. Collins, Charles A. Dorison, Francesca Gino and Julia A. Minson
Given the many contexts in which people have difficulty engaging with views that disagree with their own— from political discussions to workplace conflicts—it is critical to understand how conflictual conversations can be improved. Whereas previous work has focused on...
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Keywords:
Interpersonal Communication;
Conflict and Resolution;
Values and Beliefs;
Learning;
Perception
Collins, Hanne K., Charles A. Dorison, Francesca Gino, and Julia A. Minson. "Underestimating Counterparts' Learning Goals Impairs Conflictual Conversations." Psychological Science 33, no. 10 (October 2022): 1732–1752.
- 2022
- Working Paper
What's My Employee Worth? The Effects of Salary Benchmarking
By: Zoë B. Cullen, Shengwu Li and Ricardo Perez-Truglia
While U.S. legislation prohibits employers from sharing information about their employees’
compensation with each other, companies are still allowed to acquire and use more aggregated
data provided by third parties. Most medium and large firms report using this type...
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Cullen, Zoë B., Shengwu Li, and Ricardo Perez-Truglia. "What's My Employee Worth? The Effects of Salary Benchmarking." NBER Working Paper Series, No. 30570, October 2022. (Conditionally accepted at the Review of Economic Studies.)
- 2022
- Working Paper
Slowly Varying Regression under Sparsity
By: Dimitris Bertsimas, Vassilis Digalakis Jr, Michael Lingzhi Li and Omar Skali Lami
We consider the problem of parameter estimation in slowly varying regression models with sparsity constraints. We formulate the problem as a mixed integer optimization problem and demonstrate that it can be reformulated exactly as a binary convex optimization problem...
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Keywords:
Mathematical Methods
Bertsimas, Dimitris, Vassilis Digalakis Jr, Michael Lingzhi Li, and Omar Skali Lami. "Slowly Varying Regression under Sparsity." Working Paper, September 2022.
- 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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Keywords:
Management Accounting;
Management Control;
Corporate Culture;
Corporate Misconduct;
Risk Measurement;
Organizational Culture;
Crime and Corruption;
Risk and Uncertainty;
Measurement and Metrics
Campbell, Dennis W., and Ruidi Shang. "Tone at the Bottom: Measuring Corporate Misconduct Risk from the Text of Employee Reviews." Management Science 68, no. 9 (September 2022): 7034–7053.
- August 2022
- Article
What Makes a Good Image? Airbnb Demand Analytics Leveraging Interpretable Image Features
By: Shunyuan Zhang, Dokyun Lee, Param Vir Singh and Kannan Srinivasan
We study how Airbnb property demand changed after the acquisition of verified images (taken by Airbnb’s photographers) and explore what makes a good image for an Airbnb property. Using deep learning and difference-in-difference analyses on an Airbnb panel dataset...
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Keywords:
Sharing Economy;
Airbnb;
Property Demand;
Computer Vision;
Deep Learning;
Image Feature Extraction;
Content Engineering;
Property;
Marketing;
Demand and Consumers
Zhang, Shunyuan, Dokyun Lee, Param Vir Singh, and Kannan Srinivasan. "What Makes a Good Image? Airbnb Demand Analytics Leveraging Interpretable Image Features." Management Science 68, no. 8 (August 2022): 5644–5666.
- July 2022
- Article
The Developmental Origins and Behavioral Consequences of Attributions for Inequality
By: Antonya Marie Gonzalez, Lucia Macchia and Ashley V. Whillans
Attributions, or lay explanations for inequality, have been linked to inequality-relevant behavior. In adults and children, attributing inequality to an individual rather than contextual or structural causes is linked to greater support for economic inequality and less...
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Gonzalez, Antonya Marie, Lucia Macchia, and Ashley V. Whillans. "The Developmental Origins and Behavioral Consequences of Attributions for Inequality." Art. 104329. Journal of Experimental Social Psychology 101 (July 2022).
- 2022
- Working Paper
Machine Learning Models for Prediction of Scope 3 Carbon Emissions
By: George Serafeim and Gladys Vélez Caicedo
For most organizations, the vast amount of carbon emissions occur in their supply chain and in the post-sale processing, usage, and end of life treatment of a product, collectively labelled scope 3 emissions. In this paper, we train machine learning algorithms on 15...
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Keywords:
Carbon Emissions;
Climate Change;
Environment;
Carbon Accounting;
Machine Learning;
Artificial Intelligence;
Digital;
Data Science;
Environmental Sustainability;
Environmental Management;
Environmental Accounting
Serafeim, George, and Gladys Vélez Caicedo. "Machine Learning Models for Prediction of Scope 3 Carbon Emissions." Harvard Business School Working Paper, No. 22-080, June 2022.
- May 2022
- Supplement
Maestro Pizza (B): The Competition Awakens
By: Ramon Casadesus-Masanell and Fares Khrais
Maestro pizza opened its first store in 2013 after its founder, Khalid Al Omran, recognized an opportunity in Saudi Arabia to offer high quality pizza at affordable prices. The business grew rapidly and under the radar at first, but soon enough caught the attention of...
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Keywords:
Competitive Strategy;
Competitive Advantage;
Competition;
Market Entry and Exit;
Emerging Markets;
Business Startups;
Corporate Entrepreneurship;
Product Positioning;
Disruption;
Disruptive Innovation;
Advertising;
Advertising Campaigns;
Social Media;
Forecasting and Prediction;
Crisis Management;
Growth and Development Strategy;
Brands and Branding;
Product Development;
Production;
Service Delivery;
Business Growth and Maturation;
Financial Statements;
Cost Management;
Analysis;
Quality;
Performance Consistency;
Customer Satisfaction;
Profit;
Family Ownership;
Food and Beverage Industry;
Saudi Arabia;
Middle East
Casadesus-Masanell, Ramon, and Fares Khrais. "Maestro Pizza (B): The Competition Awakens." Harvard Business School Supplement 722-400, May 2022.
- May 2022
- Supplement
Maestro Pizza (C): Taking the Fight Outside
By: Ramon Casadesus-Masanell and Fares Khrais
Maestro pizza opened its first store in 2013 after its founder, Khalid Al Omran, recognized an opportunity in Saudi Arabia to offer high quality pizza at affordable prices. The business grew rapidly and under the radar at first, but soon enough caught the attention of...
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Keywords:
Competitive Strategy;
Competitive Advantage;
Competition;
Market Entry and Exit;
Emerging Markets;
Business Startups;
Corporate Entrepreneurship;
Product Positioning;
Disruption;
Disruptive Innovation;
Advertising;
Advertising Campaigns;
Social Media;
Forecasting and Prediction;
Crisis Management;
Growth and Development Strategy;
Brands and Branding;
Product Development;
Production;
Service Delivery;
Business Growth and Maturation;
Financial Statements;
Cost Management;
Analysis;
Quality;
Performance Consistency;
Customer Satisfaction;
Profit;
Family Ownership;
Food and Beverage Industry;
Middle East;
Saudi Arabia
Casadesus-Masanell, Ramon, and Fares Khrais. "Maestro Pizza (C): Taking the Fight Outside." Harvard Business School Supplement 722-401, May 2022.
- May 2022
- Case
Maestro Pizza: Coming in Hot!
By: Ramon Casadesus-Masanell and Fares Khrais
Maestro Pizza opened its first store in 2013 after its founder, Khalid Al Omran, recognized an opportunity in Saudi Arabia to offer high quality pizza at affordable prices. The business grew rapidly and under the radar at first, but soon enough caught the attention of...
View Details
Keywords:
Competitive Strategy;
Competitive Advantage;
Competition;
Market Entry and Exit;
Emerging Markets;
Business Startups;
Corporate Entrepreneurship;
Product Positioning;
Disruption;
Disruptive Innovation;
Advertising;
Advertising Campaigns;
Social Media;
Forecasting and Prediction;
Crisis Management;
Growth and Development Strategy;
Brands and Branding;
Product Development;
Production;
Service Delivery;
Business Growth and Maturation;
Financial Statements;
Cost Management;
Analysis;
Quality;
Performance Consistency;
Customer Satisfaction;
Profit;
Family Ownership;
Food and Beverage Industry;
Middle East;
Saudi Arabia
Casadesus-Masanell, Ramon, and Fares Khrais. "Maestro Pizza: Coming in Hot!" Harvard Business School Case 722-399, May 2022.
- 2022
- Working Paper
ESG Performance and Voluntary ESG Disclosure: Mind the (Gender Pay) Gap
By: June Huang and Shirley Lu
We study if firms with better ESG performance are more likely to provide voluntary ESG disclosure, an assumption embedded in many ESG ratings. We focus on gender diversity and proxy for performance using a firm's gender pay gap ("GPG") disclosed under a UK disclosure...
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Huang, June, and Shirley Lu. "ESG Performance and Voluntary ESG Disclosure: Mind the (Gender Pay) Gap." SSRN Working Paper Series, No. 3708257, May 2022.
- April 12, 2022
- Article
Evaluation of Individual and Ensemble Probabilistic Forecasts of COVID-19 Mortality in the United States
By: Estee Y. Cramer, Evan L. Ray, Velma K. Lopez, Johannes Bracher, Andrea Brennen, Alvaro J. Castro Rivadeneira, Michael Lingzhi Li and et al.
Short-term probabilistic forecasts of the trajectory of the COVID-19 pandemic in the United States have served as a visible and important communication channel between the scientific modeling community and both the general public and decision-makers. Forecasting models...
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Keywords:
COVID-19;
Forecasting and Prediction;
Health Pandemics;
Mathematical Methods;
Partners and Partnerships
Cramer, Estee Y., Evan L. Ray, Velma K. Lopez, Johannes Bracher, Andrea Brennen, Alvaro J. Castro Rivadeneira, Michael Lingzhi Li, and et al. "Evaluation of Individual and Ensemble Probabilistic Forecasts of COVID-19 Mortality in the United States." e2113561119. Proceedings of the National Academy of Sciences 119, no. 15 (April 12, 2022). (See full author list here.)
- April 2022
- Article
Predictable Financial Crises
Using historical data on post-war financial crises around the world, we show that crises are substantially predictable. The combination of rapid credit and asset price growth over the prior three years, whether in the nonfinancial business or the household sector, is...
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Greenwood, Robin, Samuel G. Hanson, Andrei Shleifer, and Jakob Ahm Sørensen. "Predictable Financial Crises." Journal of Finance 77, no. 2 (April 2022): 863–921.
- March 2022
- Case
Auto Mag (Abridged)
By: David E. Bell
A young HBS graduate purchases a publisher of specialty magazines that advertises second hand cars, boats, trucks, etc. The magazines carry photographs and a brief description of each article for sale. The company faces the problem of deciding on how many magazines to...
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Keywords:
Distribution;
Cost Management;
Decision Choices and Conditions;
Forecasting and Prediction
Bell, David E. "Auto Mag (Abridged)." Harvard Business School Case 122-096, March 2022.
- March 2022 (Revised July 2022)
- Technical Note
Prediction & Machine Learning
This note provides an introduction to machine learning for an introductory data science course. The note begins with a description of supervised, unsupervised, and reinforcement learning. Then, the note provides a brief explanation of the difference between traditional...
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Keywords:
Machine Learning;
Data Science;
Learning;
Analytics and Data Science;
Performance Evaluation
Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Prediction & Machine Learning." Harvard Business School Technical Note 622-101, March 2022. (Revised July 2022.)
- 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
Ascarza, Eva, and Ayelet Israeli. "Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)." e2115126119. Proceedings of the National Academy of Sciences 119, no. 11 (March 8, 2022).
- Article
Expected Stock Returns Worldwide: A Log-Linear Present-Value Approach
By: Akash Chattopadhyay, Matthew R. Lyle and Charles C.Y. Wang
This study provides the first large-scale study of the performance of expected-return proxies (ERPs) internationally. Analyst-forecast-based ICCs are sparsely populated and not robustly associated with future returns. Earnings-model-forecast-based ICCs are...
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Keywords:
Expected Returns;
Discount Rates;
Fundamental Valuation;
Implied Cost Of Capital;
International Equity Markets;
Present Value;
Investment Return;
Equity;
Markets;
Global Range
Chattopadhyay, Akash, Matthew R. Lyle, and Charles C.Y. Wang. "Expected Stock Returns Worldwide: A Log-Linear Present-Value Approach." Accounting Review 97, no. 2 (March 2022): 107–133.