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All HBS Web
(302)
- Faculty Publications (118)
- January 2021
- Article
Machine Learning for Pattern Discovery in Management Research
By: Prithwiraj Choudhury, Ryan Allen and Michael G. Endres
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used for exploratory inductive or abductive research, or for post-hoc analysis of regression results to detect...
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Keywords:
Machine Learning;
Supervised Machine Learning;
Induction;
Abduction;
Exploratory Data Analysis;
Pattern Discovery;
Decision Trees;
Random Forests;
Neural Networks;
ROC Curve;
Confusion Matrix;
Partial Dependence Plots;
AI and Machine Learning
Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Strategic Management Journal 42, no. 1 (January 2021): 30–57.
- Article
Resilience vs. Vulnerability: Psychological Safety and Reporting of Near Misses with Varying Proximity to Harm in Radiation Oncology
By: Palak Kundu, Olivia Jung, Amy C. Edmondson, Nzhde Agazaryan, John Hegde, Michael Steinberg and Ann Raldow
Background
Psychological safety, a shared belief that interpersonal risk taking is safe, is an important determinant of incident reporting. However, how psychological safety affects near-miss reporting is unclear, as near misses contain contrasting cues that... View Details
Psychological safety, a shared belief that interpersonal risk taking is safe, is an important determinant of incident reporting. However, how psychological safety affects near-miss reporting is unclear, as near misses contain contrasting cues that... View Details
Kundu, Palak, Olivia Jung, Amy C. Edmondson, Nzhde Agazaryan, John Hegde, Michael Steinberg, and Ann Raldow. "Resilience vs. Vulnerability: Psychological Safety and Reporting of Near Misses with Varying Proximity to Harm in Radiation Oncology." Joint Commission Journal on Quality and Patient Safety 47, no. 1 (January 2021): 15–22.
- 2020
- Working Paper
How Do CEOs Make Strategy?
By: Mu-Jeung Yang, Michael Christensen, Nicholas Bloom, Raffaella Sadun and Jan Rivkin
We explore the critical question of how executives make strategic decisions. Utilizing a new survey of 262 CEO alumni of Harvard Business School, we gather evidence on four aspects of each executive’s business strategy: its overall structure, its formalization, its...
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Yang, Mu-Jeung, Michael Christensen, Nicholas Bloom, Raffaella Sadun, and Jan Rivkin. "How Do CEOs Make Strategy?" Harvard Business School Working Paper, No. 21-063, October 2020.
- 2020
- Working Paper
Determinants of Early-Stage Startup Performance: Survey Results
To explore determinants of new venture performance, the CEOs of 470 early-stage startups were surveyed regarding a broad range of factors related to their venture’s customer value proposition, product management, marketing, technology and operations, financial...
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Keywords:
Startups;
Survey Research;
Performance Analysis;
Entrepreneurship;
Performance;
Analysis;
Business Startups;
Failure;
Surveys
Eisenmann, Thomas R. "Determinants of Early-Stage Startup Performance: Survey Results." Harvard Business School Working Paper, No. 21-057, October 2020.
- October 2020
- Article
Patronage and Selection in Public Sector Organizations
By: Emanuele Colonnelli, Mounu Prem and Edoardo Teso
In all modern bureaucracies, politicians retain some discretion in public employment decisions, which may lead to frictions in the selection process if political connections substitute for individual competence. Relying on detailed matched employer-employee data on the...
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Colonnelli, Emanuele, Mounu Prem, and Edoardo Teso. "Patronage and Selection in Public Sector Organizations." American Economic Review 110, no. 10 (October 2020): 3071–3099.
- Article
Cultural Diversity on Wall Street: Evidence from Consensus Earnings Forecasts
By: Kenneth Merkley, Roni Michaely and Joseph Pacelli
We examine how cultural differences among agents influence the aggregate outcome of a common forecasting task. Using both exogenous shocks to sell-side analyst diversity and panel regression methods, we find that increases in analyst cultural diversity positively...
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Keywords:
Culture;
Forecasting;
Sell-side Analysts;
Information Aggregation;
Diversity;
Forecasting and Prediction;
Information;
Performance Improvement
Merkley, Kenneth, Roni Michaely, and Joseph Pacelli. "Cultural Diversity on Wall Street: Evidence from Consensus Earnings Forecasts." Journal of Accounting & Economics 70, no. 1 (August 2020).
- May 2020
- Article
Ancient Origins of the Global Variation in Economic Preferences
By: Anke Becker, Benjamin Enke and Armin Falk
This paper shows that contemporary population-level heterogeneity in risk aversion, time preference, altruism, positive reciprocity, negative reciprocity, and trust partly traces back to the structure of the migration patterns of our very early ancestors. To document...
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Keywords:
Migration Patterns;
Behavioral Economics;
Preferences;
Microeconomics;
Demography;
Decision Making;
Risk and Uncertainty;
History;
Global Range
Becker, Anke, Benjamin Enke, and Armin Falk. "Ancient Origins of the Global Variation in Economic Preferences." AEA Papers and Proceedings 110 (May 2020): 319–323.
- May 2020
- Article
Scalable Holistic Linear Regression
By: Dimitris Bertsimas and Michael Lingzhi Li
We propose a new scalable algorithm for holistic linear regression building on Bertsimas & King (2016). Specifically, we develop new theory to model significance and multicollinearity as lazy constraints rather than checking the conditions iteratively. The resulting...
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Bertsimas, Dimitris, and Michael Lingzhi Li. "Scalable Holistic Linear Regression." Operations Research Letters 48, no. 3 (May 2020): 203–208.
- January 2020
- Article
The Market Reacts Quickly: Changes in Paclitaxel Vascular Device Purchasing Within the Ascension Healthcare System
By: Peter P. Monteleone, Subhash Banerjee, Priya Kothapalli, Ariel Dora Stern, Daniel Fehder, Ron Ginor, Dominic Vollmar, Edward T. A. Fry and Mark J. Pirwitz
Background. A meta-analysis of trials in endovascular therapy suggested an increased mortality associated with treatment exposure to paclitaxel. Multiple publications and corrections of prior data were performed, and the United States Food and Drug Administration has...
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Monteleone, Peter P., Subhash Banerjee, Priya Kothapalli, Ariel Dora Stern, Daniel Fehder, Ron Ginor, Dominic Vollmar, Edward T. A. Fry, and Mark J. Pirwitz. "The Market Reacts Quickly: Changes in Paclitaxel Vascular Device Purchasing Within the Ascension Healthcare System." Journal of Invasive Cardiology 32, no. 1 (January 2020).
- 2020
- Working Paper
Cutting the Gordian Knot of Employee Health Care Benefits and Costs: A Corporate Model Built on Employee Choice
By: Regina E. Herzlinger and Barak D. Richman
The U.S. employer-based health insurance tax exclusion created a system of employer-sponsored insurance (ESI) with limited insurance choices and transparency that may lock employed households into health plans that are costlier or different from those they prefer to...
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Keywords:
After-tax Income;
Consumer-driven Health Care;
Health Care Costs;
Health Insurance;
Income Inequality;
Tax Policy;
Health Care and Treatment;
Cost;
Insurance;
Employees;
Income;
Taxation;
Policy;
United States
Herzlinger, Regina E., and Barak D. Richman. "Cutting the Gordian Knot of Employee Health Care Benefits and Costs: A Corporate Model Built on Employee Choice." Duke Law School Public Law & Legal Theory Series, No. 2020-4, December 2019. (Revised January 2021.)
- Article
Psychological Safety and Near Miss Events in Radiation Oncology
By: Palak Kundu, Olivia Jung, Kathy Rose, Chonlawan Khaothiemsang, Nzhde Agazaryan, Amy C. Edmondson, Michael L. Steinberg and Ann C. Raldow
Background: Near miss events, defined as harm averted due to chance, are learning opportunities in radiation oncology. Psychological safety is a feature of a learning environment characterized by interpersonal risk taking. We examine the effects of near miss type and...
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Kundu, Palak, Olivia Jung, Kathy Rose, Chonlawan Khaothiemsang, Nzhde Agazaryan, Amy C. Edmondson, Michael L. Steinberg, and Ann C. Raldow. "Psychological Safety and Near Miss Events in Radiation Oncology." Journal of Clinical Oncology 37, no. 27 suppl. (September 20, 2019): 231.
- August 2019
- Case
Bark Gift Shop Ltd.
By: Susanna Gallani, Jan Bouwens and Peter Kroos
This case describes a setting in which the CFO of Bark Gift Shop Ltd., a gift items retailer, discovers an undesired pattern in the performance data suggesting that her shop managers that perform well during the first part of the year, purposely reduce their effort in...
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Keywords:
Data Analytics;
Employees;
Behavior;
Performance;
Management;
Goals and Objectives;
Motivation and Incentives;
Analysis
Gallani, Susanna, Jan Bouwens, and Peter Kroos. "Bark Gift Shop Ltd." Harvard Business School Case 120-008, August 2019.
- December 2018
- Article
Ideological Misfit? Political Affiliation and Employee Departure in the Private-Equity Industry
By: Y. Sekou Bermiss and Rory McDonald
Though organizations are increasingly active participants in the political realm, little research has investigated how an organization’s heightened focus on political ideology impacts employees. We address this gap by exploring how an individual’s political ideological...
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Keywords:
Values and Beliefs;
Employees;
Organizational Culture;
Resignation and Termination;
Financial Services Industry;
United States
Bermiss, Y. Sekou, and Rory McDonald. "Ideological Misfit? Political Affiliation and Employee Departure in the Private-Equity Industry." Academy of Management Journal 61, no. 6 (December 2018): 2182–2209.
- October 2018
- Article
A Theory of Intergenerational Mobility
By: Gary Becker, Scott Duke Kominers, Kevin Murphy and Jorg L. Spenkuch
We develop a model of intergenerational resource transmission that emphasizes the link between cross-sectional inequality and intergenerational mobility. By drawing on first principles of human capital theory, we derive several novel results. In particular, we show...
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Keywords:
Intergenerational Mobility;
Inequality;
Complementarities;
Equality and Inequality;
Human Capital;
Income;
Family and Family Relationships
Becker, Gary, Scott Duke Kominers, Kevin Murphy, and Jorg L. Spenkuch. "A Theory of Intergenerational Mobility." Journal of Political Economy 126, no. S1 (October 2018): S7–S25.
- Article
Applying Random Coefficient Models to Strategy Research: Identifying and Exploring Firm Heterogeneous Effects
By: Juan Alcácer, Wilbur Chung, Ashton Hawk and Gonçalo Pacheco-de-Almeida
Strategy aims at understanding the differential effects of firms’ actions on performance. However, standard regression models estimate only the average effects of these actions across firms. Our paper discusses how random coefficient models (RCMs) may generate new...
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Alcácer, Juan, Wilbur Chung, Ashton Hawk, and Gonçalo Pacheco-de-Almeida. "Applying Random Coefficient Models to Strategy Research: Identifying and Exploring Firm Heterogeneous Effects." Strategy Science 3, no. 3 (September 2018): 481–553.
- 2018
- Working Paper
Opportunistic Returns and Dynamic Pricing: Empirical Evidence from Online Retailing in Emerging Markets
By: Chaithanya Bandi, Antonio Moreno, Donald Ngwe and Zhiji Xu
We investigate how dynamic pricing can lead to more product returns in the online retail industry. Using detailed sales data of more than two million transactions from the Indian online retail market, where price promotions are very common, we document two types of...
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Keywords:
Cash On Delivery;
Dynamic Pricing;
Online Retail;
Payment Methods;
Strategic Customer Behavior;
Opportunistic Returns;
Price;
Policy;
Consumer Behavior;
Emerging Markets;
Retail Industry
Bandi, Chaithanya, Antonio Moreno, Donald Ngwe, and Zhiji Xu. "Opportunistic Returns and Dynamic Pricing: Empirical Evidence from Online Retailing in Emerging Markets." Harvard Business School Working Paper, No. 19-030, September 2018.
- September 2018
- Article
Expressive Voting and Its Cost: Evidence from Runoffs with Two or Three Candidates
By: Vincent Pons and Clémence Tricaud
In French parliamentary and local elections, candidates ranked first and second in the first round automatically qualify for the second round, while a third candidate qualifies only when selected by more than 12.5 percent of registered citizens. Using a fuzzy RDD...
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Keywords:
Expressive Voting;
Strategic Voting;
Regression Discontinuity Design;
French Elections;
Voting;
Political Elections;
France
Pons, Vincent, and Clémence Tricaud. "Expressive Voting and Its Cost: Evidence from Runoffs with Two or Three Candidates." Econometrica 86, no. 5 (September 2018): 1621–1649.
- August 2018 (Revised September 2018)
- Supplement
Predicting Purchasing Behavior at PriceMart (B)
By: Srikant M. Datar and Caitlin N. Bowler
Supplements the (A) case. In this case, Wehunt and Morse are concerned about the logistic regression model overfitting to the training data, so they explore two methods for reducing the sensitivity of the model to the data by regularizing the coefficients of the...
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Keywords:
Data Science;
Analytics and Data Science;
Analysis;
Customers;
Household;
Forecasting and Prediction
Datar, Srikant M., and Caitlin N. Bowler. "Predicting Purchasing Behavior at PriceMart (B)." Harvard Business School Supplement 119-026, August 2018. (Revised September 2018.)
- 2018
- Working Paper
Corporate Tax Cuts Increase Income Inequality
By: Suresh Nallareddy, Ethan Rouen and Juan Carlos Suárez Serrato
This paper studies the effects of corporate tax changes on income inequality. Using state corporate tax rate changes as a setting, we show that cutting state corporate tax rates leads to increases in income inequality. This result is robust to using regression and...
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Nallareddy, Suresh, Ethan Rouen, and Juan Carlos Suárez Serrato. "Corporate Tax Cuts Increase Income Inequality." Harvard Business School Working Paper, No. 18-101, May 2018.
- Article
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
By: Michael J Kearns, Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu
The most prevalent notions of fairness in machine learning are statistical definitions: they fix a small collection of pre-defined groups, and then ask for parity of some statistic of the classifier (like classification rate or false positive rate) across these groups....
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Kearns, Michael J., Seth Neel, Aaron Leon Roth, and Zhiwei Steven Wu. "Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness." Proceedings of the International Conference on Machine Learning (ICML) 35th (2018).