Publications

Research Summary

Microwedges: Challenging power one small opening at a time [Dissertation, job market paper]

Based on a 31-month qualitative inductive study of multidisciplinary change teams, I introduce the concept of the “microwedge”—a small action or series of actions by team members that allows the team to examine their own assumptions so that they can begin to engage... View Details

20 Nov 2012
First Look

First Look: November 20

has received substantial attention in the strategy literature, where a number of qualitative approaches to describe, represent, and evaluate business models have been proposed. We contend that while helpful to understand a firm's overall... View Details

Keywords: Sean Silverthorne

October 2003 (Revised January 2004)
Case

ITC eChoupal Initiative, The

Soybean farmers in India have traditionally sold their product through ineffective and frequently dishonest physical marketplaces (mandi). Farmers are generally poor and often illiterate and are forced to be "price-takers" after an arduous journey to the mandi. They... View Details

Keywords: Plant-Based Agribusiness; Fairness; Internet and the Web; Supply Chain Management; Emerging Markets; Agriculture and Agribusiness Industry; India

Educators

August 2021
Article

Multiple Imputation Using Gaussian Copulas

By: F.M. Hollenbach, I. Bojinov, S. Minhas, N.W. Metternich, M.D. Ward and A. Volfovsky

Missing observations are pervasive throughout empirical research, especially in the social sciences. Despite multiple approaches to dealing adequately with missing data, many scholars still fail to address this vital issue. In this paper, we present a simple-to-use... View Details

Keywords: Missing Data; Bayesian Statistics; Imputation; Categorical Data; Estimation

2010
Working Paper

Do Bonuses Enhance Sales Productivity? A Dynamic Structural Analysis of Bonus-Based Compensation Plans

By: Doug J. Chung, Thomas J. Steenburgh and K. Sudhir

We estimate a dynamic structural model of sales force response to a bonus based compensation plan. The paper has two main methodological innovations: First, we implement empirically the method proposed by Arcidiacono and Miller (2010) to accommodate unobserved latent... View Details

Keywords: Compensation and Benefits; Performance Productivity; Mathematical Methods; Salesforce Management; Motivation and Incentives

SSRN

2023
Article

Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten

By: Himabindu Lakkaraju, Satyapriya Krishna and Jiaqi Ma

The Right to Explanation and the Right to be Forgotten are two important principles outlined to regulate algorithmic decision making and data usage in real-world applications. While the right to explanation allows individuals to request an actionable explanation for an... View Details

Keywords: Analytics and Data Science; AI and Machine Learning; Decision Making; Governing Rules, Regulations, and Reforms

November 1991 (Revised June 1997)
Case

Micom Caribe (A)

By: David M. Upton and Joshua D. Margolis

Describes the Puerto Rican manufacturing plant of a transnational company. The award-winning plant has dramatically improved the quality of flexibility of its operations, by taking a radical approach to manufacturing. The methods center on the use of specific... View Details

Keywords: Business Plan; Multinational Firms and Management; Management Analysis, Tools, and Techniques; Product Launch; Production; Performance Improvement; Quality; Strategy; Manufacturing Industry

Educators

August 2021 (Revised September 2022)
Case

Patch Technology: Making It Easy to Do the Right Thing

By: Tomomichi Amano, Robert J. Dolan and Carol Zhang

In 2021, the growing threat of climate change pushed companies around the world to understand that significant behavioral change was necessary. While many recognized that decreasing emissions was critical, more sophisticated players such as Microsoft began to recognize... View Details

Keywords: Environmental Management; Marketing; Digital Platforms; Climate Change

Educators

Article

Vungle Inc. Improves Monetization Using Big-Data Analytics

By: Bert De Reyck, Ioannis Fragkos, Yael Grushka-Cockayne, Casey Lichtendahl, Hammond Guerin and Andrew Kritzer

The advent of big data has created opportunities for firms to customize their products and services to unprecedented levels of granularity. Using big data to personalize an offering in real time, however, remains a major challenge. In the mobile advertising industry,... View Details

Keywords: Big Data; Monetization; Data and Data Sets; Advertising; Mobile Technology; Customization and Personalization; Performance Improvement

June 2022
Article

Conservatism Gets Funded? A Field Experiment on the Role of Negative Information in Novel Project Evaluation

By: Jacqueline N. Lane, Misha Teplitskiy, Gary Gray, Hardeep Ranu, Michael Menietti, Eva C. Guinan and Karim R. Lakhani

The evaluation and selection of novel projects lies at the heart of scientific and technological innovation, and yet there are persistent concerns about bias, such as conservatism. This paper investigates the role that the format of evaluation, specifically information... View Details

Keywords: Project Evaluation; Innovation; Knowledge Frontier; Information Sharing; Negativity Bias; Projects; Innovation and Invention; Information; Knowledge Sharing

2009
Working Paper

Social Influence Given (Partially) Deliberate Matching: Career Imprints in the Creation of Academic Entrepreneurs

By: Pierre Azoulay, Christopher C. Liu and Toby E. Stuart

Actors often match with associates on a small set of dimensions that matter most for the particular relationship at hand. In so doing, they are exposed to unanticipated social influences because counterparts have more interests, attitudes, and preferences than would-be... View Details

Keywords: Entrepreneurship; Patents; Marketplace Matching; Mathematical Methods; Science-Based Business; Power and Influence; Social and Collaborative Networks; Biotechnology Industry

January 2014
Article

Pareto Efficiency in Robust Optimization

By: Dan Iancu and Nikolaos Trichakis

This paper formalizes and adapts the well-known concept of Pareto eﬃciency in the context of the popular robust optimization (RO) methodology for linear optimization problems. We argue that the classical RO paradigm need not produce solutions that possess the... View Details

Keywords: Robust Optimization; Pareto Optimality; Resource Allocation; Game Theory

Article

Refined Configuration Results for Extremal Type II Lattices of Ranks 40 and 80

By: Noam D. Elkies and Scott Duke Kominers

We show that, if L is an extremal Type II lattice of rank 40 or 80, then L is generated by its vectors of norm min(L)+2. This sharpens earlier results of Ozeki, and the second author and Abel, which showed that such lattices L are generated by their vectors of norms... View Details

Keywords: Mathematical Methods

October–December 2022
Article

Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem

By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius

Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details

Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction

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2019
Working Paper

Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 16 Capturing Value by Controlling Bottlenecks in Open Platform Systems

By: Carliss Y. Baldwin

The purpose of this chapter is to investigate the means by which firms capture value in open platform systems. I begin by arguing that the surplus value created by complementarities within a technical system will be split among the owners of the unique and essential... View Details

Keywords: Open Platforms; Bottlenecks; Flow Production; Value Capture; Disintermediation; Production; Management; Digital Platforms

SSRN

2018
Working Paper

Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning

By: Xiaojia Guo, Yael Grushka-Cockayne and Bert De Reyck

Problem definition: In collaboration with Heathrow Airport, we develop a predictive system that generates quantile forecasts of transfer passengers’ connection times. Sampling from the distribution of individual passengers’ connection times, the system also produces... View Details

Keywords: Quantile Forecasts; Regression Tree; Copula; Passenger Flow Management; Data-driven Operations; Forecasting and Prediction; Data and Data Sets

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