Publications

Research Summary

Innovating in Energy: Learning from High-Potential Ventures

By: Joseph B. Lassiter

My work at HBS has always focused on high-potential ventures. Most recently, these have been professionally financed start-ups and buyouts in newly emerging energy and cleantech businesses. These ventures tend to be based on innovative insights into technology and... View Details

November 2007
Article

A Model of Consumer Learning for Service Quality and Usage

By: Raghuram Iyengar, Asim Ansari and Sunil Gupta

In many services, e.g., the wireless service industry, consumers choose a service plan based on their expected consumption. In such situations, consumers experience two forms of uncertainty. First, consumers may be uncertain about the quality of their service provider... View Details

Keywords: Experience and Expertise; Customer Value and Value Chain; Learning; Price; Knowledge Use and Leverage; Marketing Strategy; Consumer Behavior; Service Delivery; Quality; Risk and Uncertainty; Service Industry

03 Jan 2017
Research & Ideas

5 New Year's Resolutions You Can Keep (With the Help of Behavioral Science Research)

suggest that the mere provision of information on peer health behaviors can have perverse effects on one's health behavior." To learn more, see Converging to the Lowest Common Denominator in Physical Health... View Details

Keywords: by Carmen Nobel

2017
Working Paper

Discretionary Task Ordering: Queue Management in Radiological Services

By: Maria Ibanez, Jonathan R. Clark, Robert S. Huckman and Bradley R. Staats

Work scheduling research typically prescribes task sequences implemented by managers. Yet employees often have discretion to deviate from their prescribed sequence. Using data from 2.4 million radiological diagnoses, we find that doctors prioritize similar tasks... View Details

SSRN

01 Sep 2021
Op-Ed

How Women Can Learn from Even Biased Feedback

personalities and attitudes. Contrarily, they focus more on the behaviors and accomplishments of men. To address gender bias in feedback processes, many organizations have been making changes to their internal systems such as eliminating... View Details

Keywords: by Francesca Gino

2013
Article

Learning and the Disappearing Association Between Governance and Returns

By: Lucian A. Bebchuk, Alma Cohen and Charles C.Y. Wang

The correlation between governance indices and abnormal returns documented for 1990–1999 subsequently disappeared. The correlation and its disappearance are both due to market participants' gradually learning to appreciate the difference between good-governance and... View Details

Keywords: Corporate Governance; Investment Return; Operations; Performance; Value; Learning; Business Earnings; Behavioral Finance

Research Summary

Overview

I am interested in modeling learning and information processing in behavioral agents, and its financial and macroeconomic implications. View Details

Keywords: Finance; Behavioral Economics; Macroeconomics

September 2006
Article

The Speed of Learning in Noisy Games: Partial Reinforcement and the Sustainability of Cooperation

By: Yoella Bereby-Meyer and Alvin E. Roth

In an experiment, players ability to learn to cooperate in the repeated prisoners dilemma was substantially diminished when the payoffs were noisy, even though players could monitor one anothers past actions perfectly. In contrast, in one-time play against a succession... View Details

Summer 2020
Article

Accelerating Innovation Through a Network of Ecosystems: What Companies Can Learn from One of the World's Largest Networks of Accelerator Labs

By: Elizabeth J. Altman and Frank Nagle

A United Nations agency with a sweeping mission and sprawling global presence may not appear to be the most likely place where companies can learn new techniques for accelerating innovation — but appearances can be deceiving. The United Nations Development Programme... View Details

Keywords: Accelerator Labs; Business Ecosystems; Networks; Innovation and Invention

Purchase

Forthcoming
Article

Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation

By: Maya Balakrishnan, Kris Ferreira and Jordan Tong

Even if algorithms make better predictions than humans on average, humans may sometimes have private information which an algorithm does not have access to that can improve performance. How can we help humans effectively use and adjust recommendations made by... View Details

Keywords: AI and Machine Learning; Analytics and Data Science; Forecasting and Prediction; Digital Marketing

2022
Working Paper

Product2Vec: Leveraging Representation Learning to Model Consumer Product Choice in Large Assortments

By: Fanglin Chen, Xiao Liu, Davide Proserpio and Isamar Troncoso

We propose a method, Product2Vec, based on representation learning, that can automatically learn latent product attributes that drive consumer choices, to study product-level competition when the number of products is large. We demonstrate Product2Vec’s... View Details

Keywords: Consumer Choice; Consumer Behavior; Competition; Product Marketing

SSRN

21 Aug 2019
Research & Ideas

What Machine Learning Teaches Us about CEO Leadership Style

is a writer based in the Boston area. [Image: ConceptCafe] Related Reading: Will Machine Learning Make You a Better Manager? The Better Way to Forecast the Future Working Paper: CEO Behavior and Firm... View Details

Keywords: by Michael Blanding

2021
Conference Presentation

An Algorithmic Framework for Fairness Elicitation

By: Christopher Jung, Michael J. Kearns, Seth Neel, Aaron Leon Roth, Logan Stapleton and Zhiwei Steven Wu

We consider settings in which the right notion of fairness is not captured by simple mathematical definitions (such as equality of error rates across groups), but might be more complex and nuanced and thus require elicitation from individual or collective stakeholders.... View Details

Keywords: Algorithmic Fairness; Machine Learning; Fairness; Framework; Mathematical Methods

Research Summary

Overview

My research seeks to understand and improve service integration across specialized professions and organizations. A critical idea driving my research is that work is becoming more dynamic, complex and interconnected, particularly for work that addresses difficult... View Details

Keywords: Organization Behavior; Health Care Delivery; Team Effectiveness; Organizational Learning

2008
Working Paper

Product Development and Learning in Project Teams: The Challenges are the Benefits

By: Amy C. Edmondson and Ingrid M. Nembhard

The value of teams in new product development (NPD) is undeniable. Both the interdisciplinary nature of the work and industry trends necessitate that professionals from different functions work together on development projects to create the highest quality product in... View Details

Keywords: Competency and Skills; Learning; Management Skills; Product Development; Projects; Groups and Teams; Conflict Management; Social and Collaborative Networks

2005
Chapter

Learning for Leadership: The 'Engineering' and 'Clinical' Approaches

Meaningful leadership development requires a deeper and more fundamental approach than is usually deployed in university classrooms and corporate training centers. It needs to incorporate difficult emotions and unconscious forces, and provide a safe place for their... View Details

Keywords: Leadership Development; Behavior; Cognition and Thinking; Emotions

Article

Learning from Potentially Biased Statistics: Household Inflation Perceptions and Expectations in Argentina

By: Alberto Cavallo, Guillermo Cruces and Ricardo Perez-Truglia

When forming expectations, households may be influenced by perceived bias in the information they receive. In this paper, we study how individuals learn from potentially biased statistics using data from both a natural experiment and a survey experiment during a... View Details

Keywords: Inflation Expectations; Bayesian Estimation; Inflation and Deflation; Information; Household; Behavior; Argentina

Article

Robust and Stable Black Box Explanations

By: Himabindu Lakkaraju, Nino Arsov and Osbert Bastani

As machine learning black boxes are increasingly being deployed in real-world applications, there has been a growing interest in developing post hoc explanations that summarize the behaviors of these black boxes. However, existing algorithms for generating such... View Details

Keywords: Machine Learning; Black Box Models; Framework