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- 2025
- Article
Emotion Regulation Contagion Drives Reduction in Negative Intergroup Emotions
By: Michael Pinus, Yajun Cao, Eran Halperin, Alin Coman, James J. Gross and Amit Goldenberg
When emotions occur in groups, they sometimes impact group behavior in undesired ways. Reducing group’s emotions with emotion regulation interventions can be helpful, but may also be a challenge, because treating every person in the group is often infeasible. One... View Details
- January 2025
- Case
Colbún’s Angostura Dam Project (A)
By: James K. Sebenius and Nicolas Andrade
The A case describes Colbún Chile’s plans for the Angostura dam in the Bío Bío River, a hydroelectric construction venture with major challenges given the region’s history of indigenous resistance. This context was especially unfavorable given the highly contentious... View Details
- January 2025
- Supplement
Colbún’s Angostura Dam Project (B)
By: James K. Sebenius and Nicolas Andrade
The A case describes Colbún Chile’s plans for the Angostura dam in the Bío Bío River, a hydroelectric construction venture with major challenges given the region’s history of indigenous resistance. This context was especially unfavorable given the highly contentious... View Details
- 2025
- Working Paper
The Hidden Costs of Working Multiple Jobs: Implications for Spending Behavior and Wellbeing
By: Paige Tsai and Ryan W. Buell
Across three studies, combining survey data, transaction-level analysis from 90,548 customers of a nationwide retail
bank, and insights from the General Social Survey, we study whether people with multiple jobs spend their labor income differently than people who earn... View Details
- January 24, 2025
- Article
Behaviorally Designed Training Leads to More Diverse Hiring
By: Cansin Arslan, Edward H. Chang, Siri Chilazi, Iris Bohnet and Oliver P. Hauser
Many organizations have shown interest in increasing the diversity of their workforces for various reasons. Collectively, they have spent millions of dollars and countless employee hours on diversity training. Yet, there is little empirical evidence that such training... View Details
- October 2024
- Supplement
Skills-First Hiring at IBM
By: Boris Groysberg and Sarah Mehta
A video supplement to accompany "Skills-First Hiring at IBM" (case no. 422-013) View Details
Keywords: Competency and Skills; Experience and Expertise; Talent and Talent Management; Human Resources; Employees; Recruitment; Retention; Selection and Staffing; Jobs and Positions; Job Design and Levels; Job Interviews; Society; Social Issues; Technology Industry; United States; New York (state, US)
- September–October 2024
- Article
How AI Can Power Brand Management
By: Julian De Freitas and Elie Ofek
Marketers have begun experimenting with AI to improve their brand-management efforts. But unlike other marketing tasks, brand management involves more than just repeatedly executing one specialized function. Long considered the exclusive domain of creative talent, it... View Details
- August 2024 (Revised September 2024)
- Case
Dishoom: From Bombay with Love
By: Anjali M. Bhatt and Thomas J. DeLong
Shamil and Kavi Thakrar, co-founders of Dishoom, faced critical decisions as they looked to expand the UK-based restaurant group. Shamil, the CEO, was confident in Dishoom's potential for growth but he was concerned about preserving the culture and values centered... View Details
- July 2024
- Article
Chatbots and Mental Health: Insights into the Safety of Generative AI
By: Julian De Freitas, Ahmet Kaan Uğuralp, Zeliha Uğuralp and Stefano Puntoni
Chatbots are now able to engage in sophisticated conversations with consumers. Due to the ‘black box’ nature of the algorithms, it is impossible to predict in advance how these conversations will unfold. Behavioral research provides little insight into potential safety... View Details
- July–August 2024
- Article
Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals
By: Ta-Wei Huang and Eva Ascarza
Firms are increasingly interested in developing targeted interventions for customers with the best response,
which requires identifying differences in customer sensitivity, typically through the conditional average treatment
effect (CATE) estimation. In theory, to... View Details
- 2024
- Working Paper
Webmunk: A New Tool for Studying Online Behavior and Digital Platforms
By: Chiara Farronato, Andrey Fradkin and Chris Karr
Understanding the behavior of users online is important for researchers, policymakers, and private companies alike. But observing online behavior and conducting experiments is difficult without direct access to the user base and software of technology companies. We... View Details
- June 2024
- Teaching Note
Skills-First Hiring at IBM
By: Boris Groysberg and Sarah Mehta
Teaching note for “Skills-First Hiring at IBM,” case no. 422-013. View Details
Keywords: Competency and Skills; Experience and Expertise; Talent and Talent Management; Human Resources; Human Capital; Employees; Recruitment; Retention; Selection and Staffing; Jobs and Positions; Job Design and Levels; Job Interviews; Society; Societal Protocols; Technology Industry; United States; New York (state, US)
- 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
- 2024
- Working Paper
Business Experiments as Persuasion
By: Orie Shelef, Rebecca Karp and Robert Wuebker
Much of the prior work on experimentation rests upon the assumption that entrepreneurs and managers use—or should optimally adopt—a "scientific approach" to test possible decisions before making them. This paper offers an alternative view of experimental strategy,... View Details
- 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
- 2024
- Working Paper
Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference
By: Michael Lindon, Dae Woong Ham, Martin Tingley and Iavor I. Bojinov
Linear regression adjustment is commonly used to analyze randomized controlled experiments due to its efficiency and robustness against model misspecification. Current testing and interval estimation procedures leverage the asymptotic distribution of such estimators to... View Details
- 2024
- Working Paper
Design of Panel Experiments with Spatial and Temporal Interference
By: Tu Ni, Iavor Bojinov and Jinglong Zhao
One of the main practical challenges companies face when running experiments (or A/B tests) over a panel is interference, the setting where one experimental unit's treatment assignment at one time period impacts another's outcomes, possibly at the following time... View Details
Keywords: Research
- 2024
- Book
Deals: The Economic Structure of Business Transactions
By: Guhan Subramanian and Michael Klausner
Drawing on real-life cases from a wide range of industries, two acclaimed experts offer a sophisticated but accessible guide to business deals, designed to maximize value for your side.
Business transactions take widely varying forms—from multibillion-dollar... View Details
Business transactions take widely varying forms—from multibillion-dollar... View Details