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- 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
- 2024
- Article
Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules
By: Michael Lingzhi Li and Kosuke Imai
A century ago, Neyman showed how to evaluate the efficacy of treatment using a randomized experiment under a minimal set of assumptions. This classical repeated sampling framework serves as a basis of routine experimental analyses conducted by today’s scientists across... View Details
- September 2023
- Article
A Pull versus Push Framework for Reputation
Reputation is a powerful driver of human behavior. Reputation systems incentivize 'actors' to take reputation-enhancing actions, and 'evaluators' to reward actors with positive reputations by preferentially cooperating with them. This article proposes a reputation... View Details
- 2023
- Article
Experimental Evaluation of Individualized Treatment Rules
By: Kosuke Imai and Michael Lingzhi Li
The increasing availability of individual-level data has led to numerous applications of individualized (or personalized) treatment rules (ITRs). Policy makers often wish to empirically evaluate ITRs and compare their relative performance before implementing them in a... View Details
- December 2022
- Article
I Don't 'Recall': The Decision to Delay Innovation Launch to Avoid Costly Product Failure
By: Byungyeon Kim, Oded Koenigsberg and Elie Ofek
Innovations embody novel features or cutting-edge components aimed at delivering desired customer benefits.
Oftentimes, however, we observe the need to recall new products shortly after their introduction. Indeed, a firm
may rush an innovation to market in an attempt... 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
- 2020
- Working Paper
Reverse Information Sharing: Reducing Costs in Supply Chains with Yield Uncertainty
By: Pavithra Harsha, Ashish Jagmohan, Retsef Levi, Elisabeth Paulson and Georgia Perakis
Supply uncertainty in produce supply chains presents major challenges to retailers. Supply shortages create frequent disruptions in terms of promised delivery times, quantity and quality delivered. To alleviate these challenges, dual sourcing--a strategy in which... View Details
- 2020
- Working Paper
Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach
By: 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
- Fall 2017
- Article
Strengthening and Streamlining Bank Capital Regulation
We propose three core principles that should inform the design of bank capital regulation. First, wherever possible, multiple constraints on the minimum level of equity capital should be consolidated into a single constraint. This helps to avoid a distortionary... View Details
- August 2017
- Article
Incentives versus Reciprocity: Insights from a Field Experiment
By: Doug J. Chung and Das Narayandas
We conduct a field experiment in which we vary the sales force compensation scheme at an Asian enterprise that sells consumer durable goods. With variation generated by the experimental treatments, we model sales force performance to identify the effectiveness of... View Details
- June 2017
- Article
When Novel Rituals Lead to Intergroup Bias: Evidence from Economic Games and Neurophysiology
By: Nicholas M. Hobson, Francesca Gino, Michael I. Norton and Michael Inzlicht
Long-established rituals in pre-existing cultural groups have been linked to the cultural evolution of large-scale group cooperation. Here we test the prediction that novel rituals—arbitrary hand and body gestures enacted in a stereotypical and repeated fashion—can... View Details
- Article
Third-Party Punishment as a Costly Signal of High Continuation Probabilities in Repeated Games
By: Jillian J. Jordan and David G. Rand
Why do individuals pay costs to punish selfish behavior, even as third-party observers? A large body of research suggests that reputation plays an important role in motivating such third-party punishment (TPP). Here we focus on a recently proposed reputation-based... View Details
- 2016
- Other Teaching and Training Material
Organizational Behavior Reading: Decision Making
By: Francesca Gino, Max Bazerman and Katherine Shonk
This Reading argues that decision making is systematically flawed and introduces methods to improve decision-making effectiveness. The Essential Reading section covers the rational decision-making model and three important ideas that challenge it: Herbert Simon's... View Details
- 2016
- Chapter
Deriving an Optimally Deceptive Policy in Two-Player Iterated Games
By: Elisabeth Paulson and Christopher Griffin
We formulate the problem of determining an optimally deceptive strategy in a repeated game framework. We assume that two players are engaged in repeated play. During an initial time period, Player 1 may deceptively train his opponent to expect a specific strategy. The... View Details
- 2015
- Other Teaching and Training Material
Competitive Strategies Marketing Reading
By: Jill Avery and Sunil Gupta
Core Curriculum Readings in Marketing cover the fundamental concepts, theories, and frameworks that business students must study.
This Reading illuminates the dynamics of companies in competition and offers a process for planning and executing marketing... View Details
This Reading illuminates the dynamics of companies in competition and offers a process for planning and executing marketing... View Details
Keywords: Competitive Strategy
- 2015
- Working Paper
Incentives versus Reciprocity: Insights from a Field Experiment
By: Doug J. Chung and Das Narayandas
We conduct a field experiment in which we vary the sales force compensation scheme at an Asian enterprise that sells consumer durable goods. With variation generated by the experimental treatments, we model sales force performance to identify the effectiveness of... View Details
- 2014
- Book
Accelerate: Building Strategic Agility for a Faster-Moving World
By: John P. Kotter
Based on the award-winning article in Harvard Business Review, from global leadership expert John Kotter. It's a familiar scene in organizations today: a new competitive threat or a big opportunity emerges. You quickly create a strategic initiative in response and... View Details
- Article
Delayed-Response Strategies in Repeated Games with Observation Lags
By: Drew Fudenberg, Yuhta Ishii and Scott Duke Kominers
We extend the folk theorem of repeated games to two settings in which players' information about others' play arrives with stochastic lags. In our first model, signals are almost-perfect if and when they do arrive, that is, each player either observes an almost-perfect... View Details
- June 2013 (Revised March 2014)
- Technical Note
Strategic Complements and Substitutes
The framework of strategic complements and substitutes can help companies anticipate competitors' responses. It is particularly helpful in deciding on price- or capacity-commitments (or pre-emption), but it can provide more general guidance for analyzing the potential... View Details
- June 2012
- Article
Managing Risks: A New Framework
By: Robert S. Kaplan and Anette Mikes
Risk management is too often treated as a compliance issue that can be solved by drawing up lots of rules and making sure that all employees follow them. Many such rules, of course, are sensible and do reduce some risks that could severely damage a company. But... View Details