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

2021
Chapter

Towards a Unified Framework for Fair and Stable Graph Representation Learning

By: Chirag Agarwal, Himabindu Lakkaraju and Marinka Zitnik

As the representations output by Graph Neural Networks (GNNs) are increasingly employed in real-world applications, it becomes important to ensure that these representations are fair and stable. In this work, we establish a key connection between counterfactual... View Details

Keywords: Graph Neural Networks; AI and Machine Learning; Prejudice and Bias

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

December 2023
Article

Self-Orienting in Human and Machine Learning

By: Julian De Freitas, Ahmet Uğuralp, Zeliha Uğuralp, Laurie Paul, Joshua B. Tenenbaum and T. Ullman

A current proposal for a computational notion of self is a representation of one’s body in a specific time and place, which includes the recognition of that representation as the agent. This turns self-representation into a process of self-orientation, a challenging... View Details

Keywords: AI and Machine Learning; Behavior; Learning

June 2024
Article

Rationalizing Outcomes: Interdependent Learning in Competitive Markets

By: Anoop R. Menon and Dennis Yao

In this article we use simulation models to explore interdependent learning in competitive markets. Such interactions require attention to both the mental representations held by the management of the focal firm as well as the beliefs of that management about the... View Details

Keywords: Mental Models; Strategic Interactions; Rationalization; Explanation-based View; Competition

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2008
Chapter

Learning in Environmental Policymaking and Implementation

By: Alnoor Ebrahim

This paper explores how "learning" occurs in the context of environmental policy formulation and implementation. Rather than viewing policy learning as a rational and technocratic process, the emphasis here is on the political and institutional contexts within which... View Details

Keywords: Learning; Corporate Accountability; Policy; Government and Politics; Business and Stakeholder Relations; Natural Environment; Power and Influence; South Africa; Brazil

2008
Working Paper

Learning Processes in Environmental Policy Making and Implementation

By: Alnoor Ebrahim

This paper explores how "learning" occurs in the context of environmental policy formulation and implementation. Rather than viewing policy learning as a rational and technocratic process, the emphasis here is on the political and institutional contexts within which... View Details

Keywords: Policy; Business and Government Relations; Natural Environment; Power and Influence; South Africa; Brazil

2012
Working Paper

An Outside-Inside Evolution in Gender and Professional Work

By: Lakshmi Ramarajan, Kathleen McGinn and Deborah Kolb

We study the process by which a professional service firm reshaped its activities and beliefs over nearly two decades as it adapted to shifts in the social discourse regarding gender and work. Analyzing archival data from the firm over eighteen years and... View Details

Keywords: Professional Service Firms; Social Institutions; Organizational Learning; Organizational Change and Adaptation; Employment; Gender; Society; Service Industry

Article

Capabilities, Cognition and Inertia: Evidence from Digital Imaging

By: M. Tripsas and G. Gavetti

There is empirical evidence that established firms often have difficulty adapting to radical technological change. Although prior work in the evolutionary tradition emphasizes the inertial forces associated with the local nature of learning processes, little... View Details

Keywords: Business Offices; Organizations; Management Analysis, Tools, and Techniques

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July 2023 (Revised July 2023)
Background Note

Generative AI Value Chain

By: Andy Wu and Matt Higgins

Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are... View Details

Keywords: AI; Artificial Intelligence; Model; Hardware; Data Centers; AI and Machine Learning; Applications and Software; Analytics and Data Science; Value

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2019
Article

Can Big Data Improve Firm Decision Quality? The Role of Data Quality and Data Diagnosticity

By: Maryam Ghasemaghaei and Goran Calic

Anecdotal evidence suggests that, despite the large variety of data, the huge volume of generated data, and the fast velocity of obtaining data (i.e., big data), quality of big data is far from perfect. Therefore, many firms defer collecting and integrating big data as... View Details

Keywords: Big Data; Analytics and Data Science; Decisions; Quality

December 2022
Article

Entry Points: Gaining Momentum in Early-Stage Cross-Boundary Collaborations

By: Eva Flavia Martínez Orbegozo, Jorrit de Jong, Hannah Riley Bowles, Amy Edmondson, Anahide Nahhal and Lisa Cox

To address complex social challenges, it is widely recognized that leaders from public, for-profit, and civic organizations should join forces. Yet, well-intended collaborators often struggle to achieve alignment and fail to gain traction in their joint efforts. This... View Details

Keywords: Groups and Teams; Social and Collaborative Networks; Goals and Objectives

March 2013
Case

NovaStar Financial: A Short Seller's Battle

By: Suraj Srinivasan and Amy Kaser

The NovaStar case describes the challenges faced by short seller Marc Cohodes of hedge fund Rocker Partners as he tried to expose what he thought was widespread fraud in mortgage lender NovaStar Financial. The case is set in the time period from 2001 to 2007 and tracks... View Details

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March 1, 2022
Article

Widespread Use of National Academies Consensus Reports by the American Public

By: Diana Hicks, Matteo Zullo, Ameet Doshi and Omar Isaac Asensio

In seeking to understand how to protect the public information sphere from corruption, researchers understandably focus on dysfunction. However, parts of the public information ecosystem function very well, and understanding this as well will help in protecting and... View Details

Keywords: Reports; Surveys; AI and Machine Learning; Knowledge Dissemination; Knowledge Use and Leverage