Publications

SSRN

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

August 2020
Article

Machine Learning and Human Capital Complementarities: Experimental Evidence on Bias Mitigation

By: Prithwiraj Choudhury, Evan Starr and Rajshree Agarwal

The use of machine learning (ML) for productivity in the knowledge economy requires considerations of important biases that may arise from ML predictions. We define a new source of bias related to incompleteness in real time inputs, which may result from strategic... View Details

Keywords: Machine Learning; Bias; Human Capital; Management; Strategy

1998
Article

From Organizational Learning to the Learning Organization

By: A. Edmondson and B. Moingeon

Keywords: Organizations; Learning

Research Summary

Learning Motives

In another research stream, Professor Myers probes the underlying reasons that motivate people to learn. He has confirmed a conceptual framework that identifies four distinct learning motives that vary to the extent that they are intrinsic, extrinsic, and self- or... View Details

Keywords: Learning

14 Apr 2016
Video

Learning to Innovate

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

Most managers today understand the value of building a learning organization. Their goal is to leverage knowledge and make it a key corporate asset, yet they remain uncertain about how best to get started. What they lack are guidelines and tools that transform abstract... View Details

January 2015 (Revised April 2015)
Case

Zeal: Launching Personalized and Social Learning

By: John J-H Kim and Christine S. An

Set in 2014, this case follows John Danner and his team at Zeal as they consider their product development strategy. In February 2013, serial entrepreneurs John Danner and Sanjay Noronha co-found Zeal, an education technology start up providing a web-based, mobile... View Details

Keywords: Entrepreneurship; Education Technology; MVP; Product Development; Product Market Fit; Monetization Strategy; SaaS Business Models; Education; Personalized Learning

Research Summary

Social Learning

One major area of my research is social learning: the ways and extent to which people discover what they want and need from the behavior and opinions of others. Social learning takes many forms. Probably most obvious is word of mouth—the advice and... View Details

April 2020
Article

Regulatory Oversight, Causal Inference, and Safe and Effective Health Care Machine Learning

By: Ariel Dora Stern and W. Nicholson Price, II

In recent years, the applications of Machine Learning (ML) in the health care delivery setting have grown to become both abundant and compelling. Regulators have taken notice of these developments and the U.S. Food and Drug Administration (FDA) has been engaging... View Details

Keywords: Machine Learning; Causal Inference; Health Care and Treatment; Safety; Governing Rules, Regulations, and Reforms

10 Nov 2020
News

Learning to Fight

development of brain cancer technology. Sontag thinks big. “If this model works for brain cancer, this model can work for other serious diseases,” he says of the Sontag Foundation’s multipronged approach. He envisions opening the doors of the foundation View Details

Keywords: April White

December 2023
Background Note

Organizational Learning

By: Willy Shih

This is a background note that surveys part of the extensive literature on organizational learning. The focus is on learning from experiences, how those learnings get translated into organizational routines and processes, and how that can also lead to getting stuck in... View Details

Keywords: Learning; Knowledge; Business Processes; Manufacturing Industry; Service Industry

02 Sep 2013
News

Should MBAs Learn to Code?

Research Summary

Learning Organizations

David A. Garvin is studying how companies pursue improvement and change through efforts to stimulate organizational learning. He has found the following activities to be common in learning organizations: intelligence gathering; experimentation; learning from... View Details

Research Summary

Learning Agility

This research in both field and experimental settings is targeted at examining whether and how employees in the 'midst of learning' are aware of the optimal learning behavior as well as determining if this awareness does indeed increase learning agility. Further,... View Details

August 2020 (Revised September 2020)
Technical Note

Assessing Prediction Accuracy of Machine Learning Models

By: Michael W. Toffel, Natalie Epstein, Kris Ferreira and Yael Grushka-Cockayne

The note introduces a variety of methods to assess the accuracy of machine learning prediction models. The note begins by briefly introducing machine learning, overfitting, training versus test datasets, and cross validation. The following accuracy metrics and tools... View Details

Keywords: Machine Learning; Statistics; Econometric Analyses; Experimental Methods; Data Analysis; Data Analytics; Forecasting and Prediction; Analytics and Data Science; Analysis; Mathematical Methods

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

SSRN