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All HBS Web
(1,668)
- Faculty Publications (330)
- Article
Birds of a Feather...Enforce Social Norms? Interactions Among Culture, Norms, and Strategy
By: Hongyi Li and Eric J. Van den Steen
Does culture eat strategy for breakfast? This paper investigates the interactions among corporate culture, norms, and strategy, in order to better understand this issue and related questions. It first shows, through microfoundations, how the forces that drive toward...
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Li, Hongyi, and Eric J. Van den Steen. "Birds of a Feather...Enforce Social Norms? Interactions Among Culture, Norms, and Strategy." Strategy Science 6, no. 2 (June 2021): 166–189.
- 2021
- Article
Designing, Not Checking, for Policy Robustness: An Example with Optimal Taxation
By: Benjamin B. Lockwood, Afras Sial and Matthew C. Weinzierl
Economists typically check the robustness of their results by comparing them across plausible ranges of parameter values and model structures. A preferable approach to robustness—for the purposes of policymaking and evaluation—is to design policy that takes these...
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Lockwood, Benjamin B., Afras Sial, and Matthew C. Weinzierl. "Designing, Not Checking, for Policy Robustness: An Example with Optimal Taxation." Tax Policy and the Economy 35 (2021).
- June 2021
- Article
The Role of Beliefs in Driving Gender Discrimination
By: Katherine B. Coffman, Christine L. Exley and Muriel Niederle
While there is ample evidence of discrimination against women in the workplace, it can be difficult to understand what factors contribute to discriminatory behavior. We use an experiment to both document discrimination and unpack its sources. First, we show that, on...
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Keywords:
Gender Discrimination;
Behavioral Decision Making;
Gender;
Attitudes;
Prejudice and Bias;
Economics;
Behavior;
Decision Making
Coffman, Katherine B., Christine L. Exley, and Muriel Niederle. "The Role of Beliefs in Driving Gender Discrimination." Management Science 67, no. 6 (June 2021).
- 2021
- Article
To Thine Own Self Be True? Incentive Problems in Personalized Law
By: Jordan M. Barry, John William Hatfield and Scott Duke Kominers
Recent years have seen an explosion of scholarship on “personalized law.” Commentators foresee a world in which regulators armed with big data and machine learning techniques determine the optimal legal rule for every regulated party, then instantaneously disseminate...
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Keywords:
Personalized Law;
Regulation;
Regulatory Avoidance;
Regulatory Arbitrage;
Law And Economics;
Law And Technology;
Law And Artificial Intelligence;
Futurism;
Moral Hazard;
Elicitation;
Signaling;
Privacy;
Law;
Governing Rules, Regulations, and Reforms;
Information Technology;
AI and Machine Learning
Barry, Jordan M., John William Hatfield, and Scott Duke Kominers. "To Thine Own Self Be True? Incentive Problems in Personalized Law." Art. 2. William & Mary Law Review 62, no. 3 (2021).
- May 2021
- Simulation
Customer Compatibility Exercise Application
By: Ryan W. Buell
Customers impose considerable variability on the operating systems of service organizations. They show up when they wish (arrival variability), they ask for different things (request variability), they vary in their willingness and ability to help themselves (effort...
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- May 2021 (Revised February 2024)
- Teaching Note
THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
By: Ayelet Israeli and Jill Avery
THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on...
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Keywords:
Data;
Data Analytics;
Artificial Intelligence;
AI;
AI Algorithms;
AI Creativity;
Fashion;
Retail;
Retail Analytics;
E-Commerce Strategy;
Platform;
Platforms;
Big Data;
Preference Elicitation;
Predictive Analytics;
App Development;
"Marketing Analytics";
Advertising;
Mobile App;
Mobile Marketing;
Apparel;
Online Advertising;
Referral Rewards;
Referrals;
Female Ceo;
Female Entrepreneur;
Female Protagonist;
Analytics and Data Science;
Analysis;
Creativity;
Marketing Strategy;
Brands and Branding;
Consumer Behavior;
Demand and Consumers;
Forecasting and Prediction;
Marketing Channels;
Digital Marketing;
Internet and the Web;
Mobile and Wireless Technology;
AI and Machine Learning;
E-commerce;
Digital Platforms;
Fashion Industry;
Retail Industry;
Apparel and Accessories Industry;
Consumer Products Industry;
United States
- Article
Does Observability Amplify Sensitivity to Moral Frames? Evaluating a Reputation-Based Account of Moral Preferences
By: Valerio Capraro, Jillian J. Jordan and Ben Tappin
A growing body of work suggests that people are sensitive to moral framing in economic games involving prosociality, suggesting that people hold moral preferences for doing the “right thing”. What gives rise to these preferences? Here, we evaluate the explanatory power...
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Keywords:
Moral Preferences;
Moral Frames;
Observability;
Trustworthiness;
Trust Game;
Trade-off Game;
Moral Sensibility;
Reputation;
Behavior;
Trust
Capraro, Valerio, Jillian J. Jordan, and Ben Tappin. "Does Observability Amplify Sensitivity to Moral Frames? Evaluating a Reputation-Based Account of Moral Preferences." Journal of Experimental Social Psychology 94 (May 2021).
- April 2021
- Article
A Model of Multi-Pass Search: Price Search Across Stores and Time
By: Navid Mojir and K. Sudhir
In retail settings with price promotions, consumers often search across stores and time. However, the search literature typically only models one pass search across stores, ignoring revisits to stores; the choice literature using scanner data has modeled search across...
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Keywords:
Consumer Search;
Multi-pass Search;
Price Search;
Store Search;
Spatial Search;
Temporal Search;
Spatiotemporal Search;
Dynamic Structural Models;
MPEC;
Price Promotions;
Store Loyalty;
Consumer Behavior;
Price;
Spending;
Marketing;
Mathematical Methods
Mojir, Navid, and K. Sudhir. "A Model of Multi-Pass Search: Price Search Across Stores and Time." Management Science 67, no. 4 (April 2021): 2126–2150.
- 2021
- Working Paper
Consuming Contests: Outcome Uncertainty and Spectator Demand for Contest-based Entertainment
By: Patrick J. Ferguson and Karim R. Lakhani
Contests that are designed to be consumed for entertainment by non-contestants are a fixture of economic, cultural and political life. In this paper, we examine whether individuals prefer to consume contests that have more uncertain outcomes. We look to...
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Keywords:
Contest Design;
Information Preferences;
Consumer Demand;
Sports;
Entertainment;
Games, Gaming, and Gambling;
Demand and Consumers;
Outcome or Result
Ferguson, Patrick J., and Karim R. Lakhani. "Consuming Contests: Outcome Uncertainty and Spectator Demand for Contest-based Entertainment." Harvard Business School Working Paper, No. 21-087, February 2021.
- 2021
- Working Paper
Does Observability Amplify Sensitivity to Moral Frames? Evaluating a Reputation-Based Account of Moral Preferences
By: Valerio Capraro, Jillian J. Jordan and Ben Tappin
A growing body of work suggests that people are sensitive to moral framing in economic games involving prosociality, suggesting that people hold moral preferences for doing the “right thing”. What gives rise to these preferences? Here, we evaluate the explanatory power...
View Details
Keywords:
Moral Preferences;
Moral Frames;
Observability;
Trustworthiness;
Trust Game;
Trade-off Game;
Moral Sensibility;
Reputation;
Behavior;
Trust
Capraro, Valerio, Jillian J. Jordan, and Ben Tappin. "Does Observability Amplify Sensitivity to Moral Frames? Evaluating a Reputation-Based Account of Moral Preferences." Working Paper, January 2021.
- January 2021 (Revised March 2021)
- Case
THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
By: Jill Avery, Ayelet Israeli and Emma von Maur
THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on...
View Details
Keywords:
Data;
Data Analytics;
Artificial Intelligence;
AI;
AI Algorithms;
AI Creativity;
Fashion;
Retail;
Retail Analytics;
E-Commerce Strategy;
Platform;
Platforms;
Big Data;
Preference Elicitation;
Preference Prediction;
Predictive Analytics;
App Development;
"Marketing Analytics";
Advertising;
Mobile App;
Mobile Marketing;
Apparel;
Online Advertising;
Referral Rewards;
Referrals;
Female Ceo;
Female Entrepreneur;
Female Protagonist;
Analytics and Data Science;
Analysis;
Creativity;
Marketing Strategy;
Brands and Branding;
Consumer Behavior;
Demand and Consumers;
Forecasting and Prediction;
Marketing Channels;
Digital Marketing;
Internet and the Web;
Mobile and Wireless Technology;
AI and Machine Learning;
E-commerce;
Digital Platforms;
Fashion Industry;
Retail Industry;
Apparel and Accessories Industry;
Consumer Products Industry;
United States
Avery, Jill, Ayelet Israeli, and Emma von Maur. "THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)." Harvard Business School Case 521-070, January 2021. (Revised March 2021.)
- 2021
- Working Paper
Bollywood, Skin Color and Sexism: The Role of the Film Industry in Emboldening and Contesting Stereotypes in India after Independence
By: Sudev Sheth, Geoffrey Jones and Morgan Spencer
This working paper examines the social impact of the film industry in India during the first four decades after Indian Independence in 1947. It shows that Bollywood, the mainstream cinema in India and the counterpart in scale to Hollywood in the United States, shared...
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Keywords:
Film Industry;
Bollywood;
Tamil Cinema;
Male Gaze;
Social Impact;
Stereotypes;
Oral History;
Film Entertainment;
Gender;
Race;
Personal Characteristics;
Prejudice and Bias;
Business History;
Motion Pictures and Video Industry;
India
Sheth, Sudev, Geoffrey Jones, and Morgan Spencer. "Bollywood, Skin Color and Sexism: The Role of the Film Industry in Emboldening and Contesting Stereotypes in India after Independence." Harvard Business School Working Paper, No. 21-077, January 2021.
- 2020
- Working Paper
Prioritarianism and Optimal Taxation
By: Matti Tuomala and Matthew C. Weinzierl
Prioritarianism has been at the center of the formal approach to optimal tax theory since its modern starting point in Mirrlees (1971), but most theorists’ use of it is motivated by tractability rather than explicit normative reasoning. We characterize analytically and...
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Keywords:
Prioritarianism;
Optimal Taxation;
Utilitarianism;
Redistribution;
Inverse-optimum;
Taxation;
Theory
Tuomala, Matti, and Matthew C. Weinzierl. "Prioritarianism and Optimal Taxation." Harvard Business School Working Paper, December 2020.
- November 2020
- Article
Accelerator or Brake? Cash for Clunkers, Household Liquidity, and Aggregate Demand
By: Daniel Green, Brian Melzer, Jonathan Parker and Arcenis Rojas
This paper evaluates the Car Allowance Rebate System (CARS) by comparing the vehicle purchases and disposals of households with eligible "clunkers" to those of households with similar, but ineligible, vehicles. CARS caused roughly 500,000 purchases during the program...
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Keywords:
Automobiles;
Purchasing;
Government Incentives;
Household;
Financial Liquidity;
Income;
Behavior
Green, Daniel, Brian Melzer, Jonathan Parker, and Arcenis Rojas. "Accelerator or Brake? Cash for Clunkers, Household Liquidity, and Aggregate Demand." American Economic Journal: Economic Policy 12, no. 4 (November 2020): 178–211.
- 2020
- Working Paper
Designing, Not Checking, for Policy Robustness: An Example with Optimal Taxation
By: Benjami Lockwood, Afras Y. Sial and Matthew C. Weinzierl
Economists typically check the robustness of their results by comparing them across plausible ranges of parameter values and model structures. A preferable approach to robustness—for the purposes of policymaking and evaluation—is to design policy that takes these...
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Lockwood, Benjami, Afras Y. Sial, and Matthew C. Weinzierl. "Designing, Not Checking, for Policy Robustness: An Example with Optimal Taxation." NBER Working Paper Series, No. 28098, November 2020.
- Article
Going It Alone: Competition Increases the Attractiveness of Minority Status
By: Erika L. Kirgios, Edward H. Chang and Katherine L. Milkman
Past research demonstrates that people prefer to affiliate with others who resemble them demographically. However, we posit that when competing for scarce opportunities, strategic considerations moderate the strength of this tendency toward homophily. Across six...
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Kirgios, Erika L., Edward H. Chang, and Katherine L. Milkman. "Going It Alone: Competition Increases the Attractiveness of Minority Status." Organizational Behavior and Human Decision Processes 161 (November 2020): 20–33.
- November 2020
- Article
Taxation in Matching Markets
By: Arnaud Dupuy, Alfred Galichon, Sonia Jaffe and Scott Duke Kominers
We analyze the effects of taxation in two-sided matching markets, i.e., markets in which all agents have heterogeneous preferences over potential partners. In matching markets, taxes can generate inefficiency on the allocative margin by changing who is matched to whom,...
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Dupuy, Arnaud, Alfred Galichon, Sonia Jaffe, and Scott Duke Kominers. "Taxation in Matching Markets." International Economic Review 61, no. 4 (November 2020): 1591–1634.
- 2022
- Working Paper
Heterogeneity of Gain-Loss Attitudes and Expectations-Based Reference Points
By: Pol Campos-Mercade, Lorenz Goette, Thomas Graeber, Alex Kellogg and Charles Sprenger
Existing tests of reference-dependent preferences assume universal loss aversion. This paper examines heterogeneity in gain-loss attitudes, and explores its implications for identifying models of the reference point. In two experimental settings we measure gain-loss...
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Keywords:
Reference-dependent Preferences;
Rational Expectations;
Personal Equilibrium;
Endowment Effect;
Expectations-based Reference Points
Campos-Mercade, Pol, Lorenz Goette, Thomas Graeber, Alex Kellogg, and Charles Sprenger. "Heterogeneity of Gain-Loss Attitudes and Expectations-Based Reference Points." Working Paper, August 2022.
- October 2020
- Article
Task Selection and Workload: A Focus on Completing Easy Tasks Hurts Long-Term Performance
By: Diwas S. KC, Bradley R. Staats, Maryam Kouchaki and Francesca Gino
How individuals manage, organize, and complete their tasks is central to operations management. Recent research in operations focuses on how under conditions of increasing workload individuals can decrease their service time, up to a point, in order to complete work...
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Keywords:
Healthcare;
Knowledge Work;
Discretion;
Workload;
Employees;
Health Care and Treatment;
Decision Making;
Performance Effectiveness;
Performance Productivity
KC, Diwas S., Bradley R. Staats, Maryam Kouchaki, and Francesca Gino. "Task Selection and Workload: A Focus on Completing Easy Tasks Hurts Long-Term Performance." Management Science 66, no. 10 (October 2020).
- September 2020
- Teaching Note
First Aid Beauty
By: Karen G. Mills and Annie Dang
Teaching Note for HBS Case No. 319-082.
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