Publications

2024
Working Paper

Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization

By: Ta-Wei Huang, Eva Ascarza and Ayelet Israeli

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

Keywords: Heterogeneous Treatment Effect; Multi-task Learning; Representation Learning; Personalization; Promotion; Deep Learning; Field Experiments; Customer Focus and Relationships; Customization and Personalization

February 2016 (Revised December 2016)
Case

IMAX: Scaling Personalized Learning in India

By: John Jong-Hyun Kim, Michael Chu and Rachna Tahilyani

IMAX is a provider of comprehensive testing and personalized content across mid-range and low-cost private K-10 schools in India. It aims to improve learning outcomes by providing schools with an integrated product suite including textbooks, workbooks, assessments,... View Details

Keywords: Curriculum and Courses; Learning; Acquisition; Business Strategy; Growth and Development Strategy; Education Industry; India

Research Summary

Personal Development and Interpersonal Feedback

Enabling individual development and learning are key to enabling organizational success as well as employee satisfaction and engagement. Many organizational approaches to employee development visualize feedback processes as mechanisms for illuminating individual... View Details

Keywords: Feedback; Personal Development

2025
Working Paper

Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning

By: Liangzong Ma, Ta-Wei Huang, Eva Ascarza and Ayelet Israeli

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

Keywords: Dynamic Policy; Deep Reinforcement Learning; Representation Learning; Dynamic Difficulty Adjustment; Latent Variable Models; Customer Relationship Management; Customer Value and Value Chain; Foreign Direct Investment; Analytics and Data Science

2024
Working Paper

Advancing Personalization: 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

Keywords: Personalization; Targeting; Experiments; Observational Studies; Policy Implementation; Policy Evaluation; Customization and Personalization; Marketing Strategy; AI and Machine Learning

Article

Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)

By: Eva Ascarza and Ayelet Israeli

An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those “protected”... View Details

Keywords: Algorithm Bias; Personalization; Targeting; Generalized Random Forests (GRF); Discrimination; Customization and Personalization; Decision Making; Fairness; Mathematical Methods

2016
Working Paper

CEO Personality and Firm Policies

By: Ian D. Gow, Steven N. Kaplan, David F. Larcker and Anastasia A. Zakolyukina

Based on two samples of high quality personality data for chief executive officers (CEOs), we use linguistic features extracted from conferences calls and statistical learning techniques to develop a measure of CEO personality in terms of the Big Five traits:... View Details

Keywords: Interpersonal Communication; Personal Characteristics; Management Teams

Find at Harvard

September 2011
Article

Up Close and Personal: Developing Foundations for Leader Development through Personalization of Management Learning

By: Gianpiero Petriglieri, Jack D. Wood and Jennifer L. Petriglieri

This paper examines the process through which management students develop personal foundations (such as self-awareness, self-management, and a grounding life narrative) for the ongoing development and practice of leadership. We conducted an inductive, qualitative study... View Details

Keywords: Leadership Development; Innovation and Invention; Personal Development and Career; Curriculum and Courses; Customization and Personalization; Learning; Management Practices and Processes; Business Education

Find at Harvard

January 2022 (Revised November 2023)
Case

Expanding the Culture of Learning at Kraft Heinz

By: Ashley V. Whillans and Carolyn Watson

The Kraft Heinz Company (KHC) was an American food company formed in 2015 by the merger of Kraft Foods Group, Inc and the H.J. Heinz Company. The company sold food products like Heinz Ketchup, Kraft Mac & Cheese, Kool-Aid, and Philadelphia cream cheese to supermarkets,... View Details

Keywords: Learning; Culture; Work Culture; Workplace Practices; Mergers; Mergers and Acquisitions; Competitive Advantage; Human Capital; Training; Performance Evaluation; Growth and Development; Personal Development and Career; Employee Relationship Management; Organizational Change and Adaptation; Organizational Culture; Food and Beverage Industry

April 2011
Case

Kay Sunderland: Making the Grade at Attain Learning

By: Linda A. Hill and Heather Beckham

Kay Sunderland is an account director at Attain Learning Inc., a business training solutions company. In January 2011, one of Attain's most important clients, Juan Nunez of Gramen Equipment Company, contacts Sunderland with a request: Nunez would like Attain content... View Details

Keywords: Communication; Interpersonal Relations; Personal Strategy ＆ Style; Creativity; Conflict; Interdepartmental Relations; Talent Management; Management Style; Interpersonal Communication; Talent and Talent Management; Relationships; Conflict and Resolution; Communication Strategy; Power and Influence; Service Industry

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

March 2017 (Revised November 2018)
Case

BYJU'S The Learning App

By: John Jong-Hyun Kim and Rachna Tahilyani

BYJU’S The Learning App (BYJU’s) is India’s largest K-12 education app with about 300,000 annual paid subscribers. The mobile app uses a mix of video lessons and interactive tools to personalize learning for every student. Although there is room to grow exponentially... View Details

Keywords: Education; Mobile and Wireless Technology; Growth and Development Strategy; Learning; Customization and Personalization; Education Industry; India; United States

March 2024
Case

Unintended Consequences of Algorithmic Personalization

By: Eva Ascarza and Ayelet Israeli

“Unintended Consequences of Algorithmic Personalization” (HBS No. 524-052) investigates algorithmic bias in marketing through four case studies featuring Apple, Uber, Facebook, and Amazon. Each study presents scenarios where these companies faced public criticism for... View Details

Keywords: Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Customization and Personalization; Technology Industry; Retail Industry; United States

Research Summary

Selective Attention and Learning

By: Joshua R. Schwartzstein

What do we notice, and how does this affect what we learn? Standard economic models of learning ignore memory by assuming that we remember everything. But there is growing recognition that memory is imperfect. Further, memory imperfections do not stem from limited... View Details

Article

Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles

By: Prithwiraj Choudhury, Dan Wang, Natalie A. Carlson and Tarun Khanna

We demonstrate how a novel synthesis of three methods—(1) unsupervised topic modeling of text data to generate new measures of textual variance, (2) sentiment analysis of text data, and (3) supervised ML coding of facial images with a cutting-edge convolutional neural... View Details

Keywords: CEOs; Communication Style; Machine Learning; Spoken Communication; Nonverbal Communication; Personal Characteristics; Analysis; Performance

Find at Harvard

23 Jun 2008
Research & Ideas

Innovative Ways to Encourage Personal Savings

have much money to begin with can make savings more feasible or more fun, or both. Given the diversity of financial conditions, social settings, and personal circumstances of families, and against the backdrop of consumerism in the United... View Details

Keywords: by Martha Lagace; Financial Services

19 Jun 2013 - 21 Jun 2013
Keynote Speech

Empowering the Learner at Work: The Three Stances Framework

By: Michele Rigolizzo, David Perkins and Marga Biller

Research suggests that work-relevant learning occurs largely on the job. However, in many situations workers do not learn nearly as much as they might. The "three stances" model helps to explain why. When someone undertakes a task, the person may adopt a completion,... View Details

Keywords: Learning And Development; Learning Organizations; Learning To Learn; Organizational Culture; Organizational Design; Learning