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All HBS Web
(2,872)
- Faculty Publications (951)
- March 2018
- Article
Polluted Morality: Air Pollution Predicts Criminal Activity and Unethical Behavior
By: Jackson G. Lu, Julia J. Lee, F. Gino and Adam D. Galinsky
Air pollution is a serious problem that influences billions of people globally. Although the health and environmental costs of air pollution are well known, the present research investigates its ethical costs. We propose that air pollution can increase criminal and...
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Lu, Jackson G., Julia J. Lee, F. Gino, and Adam D. Galinsky. "Polluted Morality: Air Pollution Predicts Criminal Activity and Unethical Behavior." Psychological Science 29, no. 3 (March 2018): 340–355.
- February 2018 (Revised December 2020)
- Supplement
People Analytics at Teach For America (Data Set)
This data set is a supplement to the People Analytics at Teach For America (A) case.
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- February 2018
- Case
EmQuest: Travel Distribution in the Digital Era
By: Karim R. Lakhani and Gamze Yucaoglu
EmQuest, Emirates Group’s travel distribution company, must decide what to do with its contract with the global distribution system it uses, Sabre. Since its founding in 1988, EmQuest was servicing travel agents in the MENA region by providing a connection to over 400...
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Keywords:
UAE;
Decision;
Business Model;
Competitive Strategy;
Growth and Development Strategy;
Decision Choices and Conditions;
Business Strategy;
Value Creation;
Change Management;
Emerging Markets;
For-Profit Firms;
Competitive Advantage;
Travel Industry;
United Arab Emirates
Lakhani, Karim R., and Gamze Yucaoglu. "EmQuest: Travel Distribution in the Digital Era." Harvard Business School Case 618-040, February 2018.
- February 2018 (Revised December 2020)
- Case
People Analytics at Teach For America (A)
By: Jeffrey T. Polzer and Julia Kelley
As of mid-2016, national nonprofit Teach For America (TFA) had struggled with three consecutive years of declining application totals, and senior management was re-examining the organization's strategy, including recruitment and selection. A few months earlier, former...
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Polzer, Jeffrey T., and Julia Kelley. "People Analytics at Teach For America (A)." Harvard Business School Case 418-013, February 2018. (Revised December 2020.)
- February 2018
- Supplement
People Analytics at Teach For America (B)
By: Jeffrey T. Polzer and Julia Kelley
This is a supplement to the People Analytics at Teach For America (A) case. In this supplement, Managing Director Michael Metzger must decide how to extend his team’s predictive analytics work using Natural Language Processing (NLP) techniques.
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- 2017
- Article
Frictions or Mental Gaps: What's Behind the Information We (Don't) Use and When Do We Care?
By: Benjamin Handel and Joshua Schwartzstein
Consumers suffer significant losses from not acting on available information. These losses stem from frictions such as search costs, switching costs, and rational inattention, as well as what we call mental gaps resulting from wrong priors/worldviews, or relevant...
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Handel, Benjamin, and Joshua Schwartzstein. "Frictions or Mental Gaps: What's Behind the Information We (Don't) Use and When Do We Care?" Journal of Economic Perspectives 32, no. 1 (Winter 2018): 155–178.
- Article
How Did the Great Recession Affect Charitable Giving?
By: Arthur C. Brooks
A great deal of research has studied the effects of income and tax changes on charitable giving. However, little work has focused on how these relationships were affected by the Great Recession. This article estimates the tax and income effects using the 2009 Panel...
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Keywords:
Charitable Giving;
Great Recession;
Philanthropy;
Philanthropy and Charitable Giving;
Financial Crisis;
Taxation;
Policy
Brooks, Arthur C. "How Did the Great Recession Affect Charitable Giving?" Public Finance Review 46, no. 5 (September 2018): 715–742.
- Article
Human Decisions and Machine Predictions
By: Jon Kleinberg, Himabindu Lakkaraju, Jure Leskovec, Jens Ludwig and Sendhil Mullainathan
Kleinberg, Jon, Himabindu Lakkaraju, Jure Leskovec, Jens Ludwig, and Sendhil Mullainathan. "Human Decisions and Machine Predictions." Quarterly Journal of Economics 133, no. 1 (February 2018): 237–293.
- February 2018
- Article
Retention Futility: Targeting High-Risk Customers Might Be Ineffective.
By: Eva Ascarza
Companies in a variety of sectors are increasingly managing customer churn proactively, generally by detecting customers at the highest risk of churning and targeting retention efforts towards them. While there is a vast literature on developing churn prediction models...
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Keywords:
Retention/churn;
Proactive Churn Management;
Field Experiments;
Heterogeneous Treatment Effect;
Machine Learning;
Customer Relationship Management;
Risk Management
Ascarza, Eva. "Retention Futility: Targeting High-Risk Customers Might Be Ineffective." Journal of Marketing Research (JMR) 55, no. 1 (February 2018): 80–98.
- January 2018 (Revised January 2020)
- Case
People Analytics at McKinsey
By: Jeffrey T. Polzer and Olivia Hull
A private equity–backed fast food chain has hired McKinsey’s new People Analytics group to help it improve performance. As the final client workshop approaches, Associate Partner Alex DiLeonardo ponders the best way to present the team’s findings, especially those that...
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Keywords:
Talent and Talent Management;
Customer Relationship Management;
Forecasting and Prediction;
Cost Management;
Human Resources;
Employees;
Recruitment;
Retention;
Selection and Staffing;
Measurement and Metrics;
Performance;
Performance Capacity;
Performance Efficiency;
Performance Evaluation;
Performance Improvement;
Consulting Industry;
Service Industry
Polzer, Jeffrey T., and Olivia Hull. "People Analytics at McKinsey." Harvard Business School Case 418-023, January 2018. (Revised January 2020.)
- January 2018 (Revised March 2019)
- Case
Autonomous Vehicles: The Rubber Hits the Road...but When?
By: William Kerr, Allison Ciechanover, Jeff Huizinga and James Palano
The rise of autonomous vehicles has enormous implications for business and society. Despite the many headlines and significant investment in the technology by early 2019, it was still unclear when truly autonomous vehicles would be a commercial reality. Students will...
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Keywords:
Technology Management;
Artificial Intelligence;
General Management;
Robotics;
Technological Innovation;
Transportation;
Disruption;
Information Technology;
Decision Making;
AI and Machine Learning;
Auto Industry;
Technology Industry
Kerr, William, Allison Ciechanover, Jeff Huizinga, and James Palano. "Autonomous Vehicles: The Rubber Hits the Road...but When?" Harvard Business School Case 818-088, January 2018. (Revised March 2019.)
- January 2018
- Article
Big Data and Big Cities: The Promises and Limitations of Improved Measures of Urban Life
By: Edward L. Glaeser, Scott Duke Kominers, Michael Luca and Nikhil Naik
New, "big" data sources allow measurement of city characteristics and outcome variables at higher frequencies and finer geographic scales than ever before. However, big data will not solve large urban social science questions on its own. Big data has the most value for...
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Glaeser, Edward L., Scott Duke Kominers, Michael Luca, and Nikhil Naik. "Big Data and Big Cities: The Promises and Limitations of Improved Measures of Urban Life." Economic Inquiry 56, no. 1 (January 2018): 114–137.
- January 2018
- Article
Innovation Incentives and Biomarkers
By: Ariel Dora Stern, Brian M. Alexander and Amitabh Chandra
Previously, we have discussed the importance of economic incentives in shaping markets for precision medicines. Here we consider incentives for biomarker development, including discovery and establishment. Biomarkers can reveal valuable information regarding diagnosis...
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Stern, Ariel Dora, Brian M. Alexander, and Amitabh Chandra. "Innovation Incentives and Biomarkers." Clinical Pharmacology & Therapeutics 103, no. 1 (January 2018): 34–36.
- 2017
- Working Paper
Lone Wolves in Competitive Equilibria
By: Ravi Jagadeesan, Scott Duke Kominers and Ross Rheingans-Yoo
This paper develops a class of equilibrium-independent predictions of competitive equilibrium with indivisibilities. Specifically, we prove an analogue of the “Lone Wolf Theorem” of classical matching theory, showing that when utility is perfectly transferable, any...
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Jagadeesan, Ravi, Scott Duke Kominers, and Ross Rheingans-Yoo. "Lone Wolves in Competitive Equilibria." Harvard Business School Working Paper, No. 18-055, January 2018.
- January 2018
- Article
The Effect of Cost Sharing on an Employee Weight Loss Program: A Randomized Trial
By: Leslie K. John, Andrea Troxel, William Yancy, Joelle Y. Friedman, Jingsan Zhu, Lin Yang, Robert Galvin, Karen Miller-Kovach, Scott Halpern, George Loewenstein and Kevin Volpp
Purpose: We tested the effects of employer subsidies on employee enrollment, attendance, and weight loss in a nationally-available weight management program.
Design: A randomized trial tested the impact of employer subsidy: 100%; 80% 50% and a hybrid 50% subsidy... View Details
Design: A randomized trial tested the impact of employer subsidy: 100%; 80% 50% and a hybrid 50% subsidy... View Details
Keywords:
Affordable Care Act (ACA);
Subsidies;
Weight Loss;
Obesity;
Incentives;
Behavioral Economics;
Motivation and Incentives;
Behavior;
Health Disorders;
Health Care and Treatment;
Compensation and Benefits;
United States
John, Leslie K., Andrea Troxel, William Yancy, Joelle Y. Friedman, Jingsan Zhu, Lin Yang, Robert Galvin, Karen Miller-Kovach, Scott Halpern, George Loewenstein, and Kevin Volpp. "The Effect of Cost Sharing on an Employee Weight Loss Program: A Randomized Trial." American Journal of Health Promotion 32, no. 1 (January 2018): 170–176.
- 2018
- Working Paper
Trade Creditors' Information Advantage
By: Victoria Ivashina and Benjamin Iverson
Using information on the sales of debt claims for 132 U.S. Chapter 11 bankruptcy cases, we show that large trade creditors’ decisions to sell receivables of a distressed company in bankruptcy are predictive of lower recovery rates, and that in such cases these...
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Ivashina, Victoria, and Benjamin Iverson. "Trade Creditors' Information Advantage." NBER Working Paper Series, No. 24269, January 2018.
- Article
Default Neglect in Attempts at Social Influence
By: Julian Zlatev, David P. Daniels, Hajin Kim and Margaret A. Neale
Current theories suggest that people understand how to exploit common biases to influence others. However, these predictions have received little empirical attention. We consider a widely studied bias with special policy relevance: the default effect, which is the...
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Zlatev, Julian, David P. Daniels, Hajin Kim, and Margaret A. Neale. "Default Neglect in Attempts at Social Influence." Proceedings of the National Academy of Sciences 114, no. 52 (December 26, 2017).
- Article
(Mis)perceptions of Inequality
By: Oliver P. Hauser and Michael I. Norton
Inequality is arguably the defining societal issue of the 21st century. The debate over “who gets what’ underlies policy debates ranging from taxation to health care to wages and permeates society at all levels, attracting increasing interest from policymakers,...
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Hauser, Oliver P., and Michael I. Norton. "(Mis)perceptions of Inequality." Special Issue on Inequality and Social Class. Current Opinion in Psychology 18 (December 2017): 21–25.
- 2017
- Working Paper
Investment Timing with Costly Search for Financing
By: Samuel Antill
I develop a dynamic model of investment timing in which firms must first choose when to search for external financing. Search is costly and the arrival of investors is uncertain, leading to delay in financing and investment. Depending on parameters, my model can...
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Keywords:
Real Options;
Search And Bargaining;
Time-varying Financial Conditions;
Investment;
Venture Capital;
Mathematical Methods
Antill, Samuel. "Investment Timing with Costly Search for Financing." Working Paper, December 2017.
- Article
Scenario Generation for Long Run Interest Rate Risk Assessment
By: Robert F. Engle, Guillaume Roussellet and Emil N. Siriwardane
We propose a statistical model of the term structure of U.S. treasury yields tailored for long-term probability-based scenario generation and forecasts. Our model is easy to estimate and is able to simultaneously reproduce the positivity, persistence, and factor...
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Keywords:
Forecasting;
Stress Testing;
Interest Rates;
Forecasting and Prediction;
Risk Management;
United States
Engle, Robert F., Guillaume Roussellet, and Emil N. Siriwardane. "Scenario Generation for Long Run Interest Rate Risk Assessment." Special Issue on Theoretical and Financial Econometrics: Essays in Honor of C. Gourieroux. Journal of Econometrics 201, no. 2 (December 2017): 333–347.