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- All HBS Web
(2,918)
- Faculty Publications (967)
- 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... View Details
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... View Details
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... View Details
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... View Details
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... 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; 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... 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 (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... View Details
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... View Details
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... View Details
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... View Details
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 January 2025)
- 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... View Details
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 January 2025.)
- 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... View Details
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.
- Article
From Immigrants to Americans: Race and Assimilation During the Great Migration
By: Vasiliki Fouka, Soumyajit Mazumder and Marco Tabellini
How does the arrival of a new minority group affect the social acceptance and outcomes of existing minorities? We study this question in the context of the First Great Migration. Between 1915 and 1930, 1.5 million African Americans moved from the U.S. South to Northern... View Details
Fouka, Vasiliki, Soumyajit Mazumder, and Marco Tabellini. "From Immigrants to Americans: Race and Assimilation During the Great Migration." Review of Economic Studies 89, no. 2 (March 2022): 811–842. (Also appears in VoxEU, The New York Times, Broadstreet, the Skepticast, and Oxford University Press Blog.)
- 2022
- Working Paper
Markups to Financial Intermediation in Foreign Exchange Markets
By: Jonathan Wallen
On average from 2013 to 2020, foreign asset managers in net sold forward 1.1 trillion U.S. dollars. This forward sale of dollars hedges the currency mismatch of foreign investment in U.S. dollar assets. By accommodating this demand, U.S. and European banks earn an... View Details
Keywords: Foreign Exchange; Financial Intermediation; Arbitrage; Market Power; Regulations; Currency; Assets; Interest Rates; Banking Industry
Wallen, Jonathan. "Markups to Financial Intermediation in Foreign Exchange Markets." Working Paper, March 2022.
- March 2022
- Article
Targeting High Ability Entrepreneurs Using Community Information: Mechanism Design in the Field
Identifying high-growth microentrepreneurs in low-income countries remains a challenge due to a scarcity of verifiable information. With a cash grant experiment in India we demonstrate that community knowledge can help target high-growth microentrepreneurs; while the... View Details
Keywords: Microentrepreneurs; Community Information; Field Experiment; Loans; Entrepreneurship; Developing Countries and Economies; Financing and Loans; Information; Mathematical Methods; India
Hussam, Reshmaan, Natalia Rigol, and Benjamin N. Roth. "Targeting High Ability Entrepreneurs Using Community Information: Mechanism Design in the Field." American Economic Review 112, no. 3 (March 2022): 861–898.
(Online Appendix with Corrigendum—Thanks to Isabella Masetto, Diego Ubfal, and The Institute for Replication for identifying a minor coding error in the production of Table 4.)
(Online Appendix with Corrigendum—Thanks to Isabella Masetto, Diego Ubfal, and The Institute for Replication for identifying a minor coding error in the production of Table 4.)
- 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
Bertsimas, Dimitris, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li, and Alessandro Previero. "Where to Locate COVID-19 Mass Vaccination Facilities?" Naval Research Logistics Quarterly 69, no. 2 (March 2022): 179–200.
- 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... View Details
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–February 2022
- Article
Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion
By: Ryan Allen and Prithwiraj Choudhury
How does a knowledge worker’s level of domain experience affect their algorithm-augmented work performance? We propose and test theoretical predictions that domain experience has countervailing effects on algorithm-augmented performance: on one hand, domain experience... View Details
Keywords: Automation; Domain Experience; Algorithmic Aversion; Experts; Algorithms; Machine Learning; Future Of Work; Employees; Experience and Expertise; Decision Making; Performance
Allen, Ryan, and Prithwiraj Choudhury. "Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion." Organization Science 33, no. 1 (January–February 2022): 149–169. ("Best PhD Student Paper" at SMS conference 2020.)