Publications
Publications
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- All HBS Web
(783)
- Faculty Publications (96)
- March 2022
- Article
Learning to Rank an Assortment of Products
By: Kris Ferreira, Sunanda Parthasarathy and Shreyas Sekar
We consider the product ranking challenge that online retailers face when their customers typically behave as “window shoppers”: they form an impression of the assortment after browsing products ranked in the initial positions and then decide whether to continue... View Details
- 2022
- Working Paper
Rethinking Explainability as a Dialogue: A Practitioner's Perspective
By: Himabindu Lakkaraju, Dylan Slack, Yuxin Chen, Chenhao Tan and Sameer Singh
As practitioners increasingly deploy machine learning models in critical domains such as healthcare, finance, and policy, it becomes vital to ensure that domain experts function effectively alongside these models. Explainability is one way to bridge the gap between... View Details
- 2024
- Working Paper
What Drives Variation in Investor Portfolios? Estimating the Roles of Beliefs and Risk Preferences
By: Mark Egan, Alexander MacKay and Hanbin Yang
We present an empirical model of portfolio choice that allows for the nonparametric estimation of investors' (subjective) expectations and risk preferences. Utilizing a comprehensive dataset of 401(k) plans from 2009 through 2019, we explore heterogeneity in asset... View Details
- October 2021
- Article
Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach
By: Nicolas Padilla and Eva Ascarza
The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details
- September 2021
- Article
Network Interconnectivity and Entry into Platform Markets
By: Feng Zhu, Xinxin Li, Ehsan Valavi and Marco Iansiti
Digital technologies have led to the emergence of many platforms in our economy today. In certain platform networks, buyers in one market purchase services from providers in many other markets, whereas in others, buyers primarily purchase services from providers within... View Details
- 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... View Details
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
- 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... View Details
- 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... 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; 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... View Details
- 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... View Details
- 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
- 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
- January 2021
- Article
Veil-of-Ignorance Reasoning Mitigates Self-Serving Bias in Resource Allocation During the COVID-19 Crisis
By: Karen Huang, Regan Bernhard, Netta Barak-Corren, Max Bazerman and Joshua D. Greene
The COVID-19 crisis has forced healthcare professionals to make tragic decisions concerning which patients to save. Furthermore, the COVID-19 crisis has foregrounded the influence of self-serving bias in debates on how to allocate scarce resources. A utilitarian... View Details
- October 2020 (Revised May 2023)
- Exercise
SenseAim Technologies: Pricing to Win
By: Elie Ofek, Eyal Biyalogorsky, Marco Bertini and Oded Koenigsberg
This exercise serves to help students understand the proper role and use of costs in a firm’s pricing decisions. The exercise is designed such that the learning of students evolves across a classroom session, starting from understanding which costs are relevant when... View Details
- August 2020 (Revised March 2021)
- Case
Migros Turkey: Scaling Online Operations (A)
By: Antonio Moreno and Gamze Yucaoglu
The case opens in November 2019 as Ozgur Tort and Mustafa Bartin, CEO and chief large-format and online retail officer of Migros Ticaret A.S. (Migros), Turkey’s oldest and one of its largest supermarket chains, are contemplating what the best fulfillment format and... View Details
- August 2020
- Article
Trust in State and Non-State Actors: Evidence from Dispute Resolution in Pakistan
By: Daron Acemoglu, Ali Cheema, Asim I. Khwaja and James A. Robinson
Lack of trust in state institutions is a pervasive problem in many developing countries. This paper investigates whether information about improved public services can help build trust in state institutions and move people away from non-state actors. We find that... View Details
- April 2020
- Article
Field Comparisons of Incentive-Compatible Preference Elicitation Techniques
By: Shawn A. Cole, A. Nilesh Fernando, Daniel Stein and Jeremy Tobacman
Knowledge of consumer demand is important for firms, policy makers, and economists. One common tool for incentive-compatible demand elicitation, the Becker-DeGroot-Marschak (BDM) mechanism, has been widely used in laboratory settings but rarely evaluated for... View Details
- Article
Designing Social Networks: Joint Tasks and the Formation and Endurance of Network Ties
By: Sharique Hasan and Rembrand Koning
Can managers influence the formation of organizational networks? In this article, we evaluate the effect of joint tasks on the creation of network ties with data from a novel field experiment with 112 aspiring entrepreneurs. During the study, we randomized individuals... View Details
- 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... View Details
- March 2019
- Case
HOPI: Turkey's Shopping Companion
By: Sunil Gupta, Donald Ngwe and Gamze Yucaoglu
The case opens in 2017 as Onur Erbay, CEO of HOPI, a multi-vendor loyalty platform, is contemplating a critical decision. The case chronicles the origins of Boyner Group, the parent company of HOPI and a major retailer in Turkey, and development of retail and customer... View Details
Keywords: Loyalty Programs; Multi-vendor Platform; Retail; Big Data; Customer Relationship Management; Mobile and Wireless Technology; Business Model; Analytics and Data Science; Competitive Strategy; Decision Making; Applications and Software; Digital Platforms; Technology Industry; Retail Industry; Turkey