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- 2025
- Working Paper
Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning
Reinforcement learning (RL) offers potential for optimizing sequences of customer interactions by modeling the relationships
between customer states, company actions, and long-term value. However, its practical implementation often faces significant
challenges.... View Details
- 2025
- Article
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
By: Kosuke Imai and Michael Lingzhi Li
Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with... View Details
- September 2024
- Article
Backstage Matters: Collective Energy and Information Sharing on Global Teams
By: Wenjie Ma, Leslie A. Perlow and Eunice Eun
It is well documented that information sharing – which is central to team effectiveness – is complicated by cultural and geographical factors. However, little is known about the process of information sharing between subgroups within global teams. Building on Goffman’s... View Details
- 2024
- Working Paper
The Operational Impact of Customer Location in On-Demand Services
By: Natalie Epstein, Santiago Gallino and Antonio Moreno
The rapid growth of on-demand delivery services, particularly in the food and grocery sectors, has driven the expansion of hyperlocal fulfillment centers (FCs). This paper uses data from an on-demand grocery delivery platform in Latin America to assess how customer... View Details
- 2024
- Working Paper
Determinants of Top-Down Sabotage
By: Hashim Zaman and Karim R. Lakhani
We investigate the conditions that motivate managers to impede the growth of talented subordinates due to fears of future competition for their own positions. Our research expands on existing tournament and contest theory literature that considers peer-to-peer sabotage... View Details
- 2024
- Working Paper
The Wade Test: Generative AI and CEO Communication
By: Prithwiraj Choudhury, Bart S. Vanneste and Amirhossein Zohrehvand
Can generative artificial intelligence (AI) transform the role of the CEO by effectively automating CEO
communication? This study investigates whether AI can mimic a human CEO and whether employees’
perception of the communication’s source matter. In a field... View Details
- August 2024
- Article
How Do Copayment Coupons Affect Branded Drug Prices and Quantities Purchased?
By: Leemore S. Dafny, Kate Ho and Edward Kong
Drug copayment coupons to reduce patient cost-sharing have become nearly ubiquitous for high-priced brand-name prescription drugs. Medicare bans such coupons on the grounds that they are kickbacks that induce utilization, but they are commonly used by... View Details
- 2024
- Working Paper
Smaller than We Thought? The Effect of Automatic Savings Policies
By: James J. Choi, David Laibson, Jordan Cammarota, Richard Lombardo and John Beshears
Medium- and long-run dynamics undermine the effect of automatic enrollment and default savings-rate auto-escalation on retirement savings. Our analysis of 401(k) plans incorporates the facts that employees frequently leave firms (often before matching contributions... View Details
- July 2024
- Article
A (Dynamic) Investigation of Stereotypes, Belief-Updating, and Behavior
By: Katherine B. Coffman, Paola Ugalde Araya and Basit Zafar
Many decisions—such as what educational or career path to pursue—are dynamic in nature, with individuals receiving feedback at one point in time and making decisions later. Using a controlled experiment, with two sessions one week apart, we analyze the dynamic effects... View Details
- 2024
- Working Paper
Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization
This paper introduces Incrementality Representation Learning (IRL), a novel multitask representation learning framework that predicts heterogeneous causal effects of marketing interventions. By leveraging past experiments, IRL efficiently designs and targets... View Details
- 2024
- Working Paper
Winner Take All: Exploiting Asymmetry in Factorial Designs
By: Matthew DosSantos DiSorbo, Iavor I. Bojinov and Fiammetta Menchetti
Researchers and practitioners have embraced factorial experiments to simultaneously test multiple treatments, each with different levels. With the rise of technologies like Generative AI, factorial experimentation has become even more accessible: it is easier than ever... View Details
- 2024
- Working Paper
Personalization and Targeting: How to Experiment, Learn & Optimize
By: Aurelie Lemmens, Jason M.T. Roos, Sebastian Gabel, Eva Ascarza, Hernan Bruno, Elea McDonnell Feit, Brett Gordon, Ayelet Israeli, Carl F. Mela and Oded Netzer
Personalization has become the heartbeat of modern marketing. Advances in causal inference and machine learning enable companies to understand how the same marketing action can impact the choices of individual customers differently. This article provides an academic... View Details
- April 2024 (Revised July 2024)
- Case
Market Dynamics and Moral Dilemmas: Novo Nordisk’s Weight-Loss Drugs
By: Joseph L. Badaracco, Tom Quinn and John Schultz
Danish pharmaceutical company Novo Nordisk was owned by a charitable foundation, and since its founding in the 1920s had focused on producing insulin to treat diabetes. In 2017, however, it released Ozempic, a diabetes treatment with the revolutionary side effect of... View Details
Keywords: Cost vs Benefits; Decisions; Judgments; Values and Beliefs; Global Strategy; Health Care and Treatment; Patents; Growth and Development Strategy; Growth Management; Product Positioning; Supply and Industry; Supply Chain; Corporate Social Responsibility and Impact; Mission and Purpose; Philanthropy and Charitable Giving; Opportunities; Social Issues; Equality and Inequality; Pharmaceutical Industry; Health Industry; Denmark; United States; Europe; China; India; Middle East; North Africa
- 2023
- Working Paper
An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits
By: Biyonka Liang and Iavor I. Bojinov
Typically, multi-armed bandit (MAB) experiments are analyzed at the end of the study and thus require the analyst to specify a fixed sample size in advance. However, in many online learning applications, it is advantageous to continuously produce inference on the... View Details
- March 2024
- Article
How Foes Become Allies: The Shifting Role of Business in Climate Politics
By: Irja Vormedal and Jonas Meckling
Firms often oppose costly public policy reforms—but under what conditions may they
come to support such reforms? Previous scholarship has taken a predominantly static
approach to the analysis of business positions. Here, we advance a dynamic theory of
change in... View Details
- March 2024
- Article
Human Capital Affects Religious Identity: Causal Evidence from Kenya
By: Livia Alfonsi, Michal Bauer, Julie Chytilová and Edward Miguel
We study how human capital and economic conditions causally affect the choice of religious denomination. We utilize a longitudinal dataset monitoring the religious history of more than 5,000 Kenyans over 20 years, in tandem with a randomized experiment (deworming) that... View Details
- January 2024 (Revised February 2024)
- Course Overview Note
Managing Customers for Growth: Course Overview for Students
By: Eva Ascarza
Managing Customers for Growth (MCG) is a 14-session elective course for second-year MBA students at Harvard Business School. It is designed for business professionals engaged in roles centered on customer-driven growth activities. The course explores the dynamics of... View Details
- January 2024
- Article
Dog Eat Dog: Balancing Network Effects and Differentiation in a Digital Platform Merger
By: Chiara Farronato, Jessica Fong and Andrey Fradkin
Digital platforms are increasingly the subject of regulatory scrutiny. In comparison to multiple competitors, a single platform may increase consumer welfare if network effects are large or may decrease welfare due to higher prices or reduction in platform variety. We... View Details
- December 2023
- Article
What Can Stockouts Tell Us About Inflation? Evidence from Online Micro Data
By: Alberto Cavallo and Oleksiy Kryvtsov
We use a detailed micro dataset on product availability and stockouts to construct a direct high-frequency measure of consumer product shortages during the 2020-2022 pandemic. We document a widespread multi-fold rise in stockouts in nearly all sectors early in the... View Details
- November 2023
- Article
Coalition Cascades: The Politics of Tipping Points in Clean Energy Transitions
By: Jonas Meckling and Nicholas Goedeking
Policy change often involves multiple policy subsystems, as in the case of clean energy transitions. We argue that trans- subsystem policy feedback is a central dynamic in policy change across subsystems. Policy in one subsystem creates ... View Details