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Publications

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      • 2019
      • Working Paper

      Industrial Change, the Boundary of the Firm, and Racial Employment Segregation

      By: John-Paul Ferguson and Rembrand Koning
      Racial employment segregation between large workplaces in America has grown over the last generation. We know little about how changes in patterns of employment by economic sector have contributed to this growth, though. While there are many stylized narratives about... View Details
      Keywords: Workplace Segregation; Firm Boundaries; Organizations; Employees; Segmentation; Race; Change; United States
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      Ferguson, John-Paul, and Rembrand Koning. "Industrial Change, the Boundary of the Firm, and Racial Employment Segregation." Harvard Business School Working Paper, No. 20-069, December 2019.
      • January–February 2020
      • Article

      Are You Undervaluing Your Customers?: It’s Time to Start Measuring and Managing Their Worth

      By: Rob Markey
      Leaders recognize that they should manage their businesses to maximize the value of the customer base. But too often, earnings pressures result in cost-cutting measures that hurt customers.

      Loyalty-leading companies operate differently. They create systems for... View Details

      Keywords: Customer Experience; Customer Value; Customer Centric Initiative; Customer Focused Organization; Customer Lifetime Value; Customer Focus and Relationships; Customer Value and Value Chain; Operations; Business Strategy
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      Markey, Rob. "Are You Undervaluing Your Customers? It’s Time to Start Measuring and Managing Their Worth." Harvard Business Review 98, no. 1 (January–February 2020): 42–50.
      • Article

      Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error

      By: Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan and Edward McFowland III
      Reliably detecting attacks in a given set of inputs is of high practical relevance because of the vulnerability of neural networks to adversarial examples. These altered inputs create a security risk in applications with real-world consequences, such as self-driving... View Details
      Keywords: Autoencoder Networks; Pattern Detection; Subset Scanning; Computer Vision; Statistical Methods And Machine Learning; Machine Learning; Deep Learning; Data Mining; Big Data; Large-scale Systems; Mathematical Methods; Analytics and Data Science
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      Cintas, Celia, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan, and Edward McFowland III. "Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error." Proceedings of the International Joint Conference on Artificial Intelligence 29th (2020).
      • 2020
      • Article

      Fast Exact Matrix Completion: A Unified Optimization Framework for Matrix Completion

      By: Dimitris Bertsimas and Michael Lingzhi Li
      We formulate the problem of matrix completion with and without side information as a non-convex optimization problem. We design fastImpute based on non-convex gradient descent and show it converges to a global minimum that is guaranteed to recover closely the... View Details
      Keywords: Mathematical Methods
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      Bertsimas, Dimitris, and Michael Lingzhi Li. "Fast Exact Matrix Completion: A Unified Optimization Framework for Matrix Completion." Journal of Machine Learning Research 21, no. 1 (2020).
      • May 2020
      • Article

      Scalable Holistic Linear Regression

      By: Dimitris Bertsimas and Michael Lingzhi Li
      We propose a new scalable algorithm for holistic linear regression building on Bertsimas & King (2016). Specifically, we develop new theory to model significance and multicollinearity as lazy constraints rather than checking the conditions iteratively. The resulting... View Details
      Keywords: Mathematical Methods; Analytics and Data Science
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      Bertsimas, Dimitris, and Michael Lingzhi Li. "Scalable Holistic Linear Regression." Operations Research Letters 48, no. 3 (May 2020): 203–208.
      • 2020
      • Book

      Teaching by Heart: One Professor's Journey to Inspire

      By: Thomas J. DeLong
      The best teachers are leaders, and the best leaders are teachers. Teaching by Heart summarizes the author's key insights gained from more than 40 years of teaching and managing. It illustrates how teachers can both lift people up and let them down. It proposes... View Details
      Keywords: Teaching; Leadership; Attitudes; Management; Business Education
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      DeLong, Thomas J. Teaching by Heart: One Professor's Journey to Inspire. Boston: Harvard Business Review Press, 2020.
      • December 2019
      • Technical Note

      Technical Note on Bayesian Statistics and Frequentist Power Calculations

      By: Amitabh Chandra and Ariel Dora Stern
      This Technical Note provides an introduction to Bayes’ Rule and the statistical intuition that stems from it. In this note, we review the concepts that underlie Bayesian statistics, and we offer several simple mathematical examples to illustrate applications of Bayes’... View Details
      Keywords: Bayesian Statistics; Mathematical Methods
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      Chandra, Amitabh, and Ariel Dora Stern. "Technical Note on Bayesian Statistics and Frequentist Power Calculations." Harvard Business School Technical Note 620-032, December 2019.
      • 2019
      • Article

      Configurations of Extremal Type II Codes via Harmonic Weight Enumerators

      By: Noam D. Elkies and Scott Duke Kominers
      We prove configuration results for extremal Type II codes, analogous to the configuration results of Ozeki and of the second author for extremal Type II lattices. Specifically, we show that for n ∈{8,24,32,48,56,72,96} every extremal Type II code of length n is... View Details
      Keywords: Mathematical Methods
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      Elkies, Noam D., and Scott Duke Kominers. "Configurations of Extremal Type II Codes via Harmonic Weight Enumerators." Journal de Théorie des Nombres de Bordeaux 31, no. 3 (2019): 679–688.
      • December 2019
      • Article

      Costly Concessions: An Empirical Framework for Matching with Imperfectly Transferable Utility

      By: Alfred Galichon, Scott Duke Kominers and Simon Weber
      We introduce an empirical framework for models of matching with imperfectly transferable utility and unobserved heterogeneity in tastes. Our framework allows us to characterize matching equilibrium in a flexible way that includes as special cases the classic fully- and... View Details
      Keywords: Sorting; Matching; Marriage Market; Intrahousehold Allocation; Imperfectly Transferable Utility; Marketplace Matching; Mathematical Methods
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      Galichon, Alfred, Scott Duke Kominers, and Simon Weber. "Costly Concessions: An Empirical Framework for Matching with Imperfectly Transferable Utility." Journal of Political Economy 127, no. 6 (December 2019): 2875–2925.
      • 2019
      • Article

      Overcoming Cultural Resistance to Open Source Innovation

      By: John Winsor, Jin Hyun Paik, Michael Tushman and Karim R. Lakhani
      Purpose: This article offers insight on how to effectively help incumbent organizations prepare for global business shifts to open source and digital business models.
      Design/methodology/approach: Discussion related to observation, experience and case studies... View Details
      Keywords: Open Source Innovation; Organizational Culture; Organizational Change and Adaptation; Business Model; Technological Innovation; Collaborative Innovation and Invention
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      Winsor, John, Jin Hyun Paik, Michael Tushman, and Karim R. Lakhani. "Overcoming Cultural Resistance to Open Source Innovation." Strategy & Leadership 47, no. 6 (2019): 28–33.
      • 2019
      • Article

      Time Series Experiments and Causal Estimands: Exact Randomization Tests and Trading

      By: Iavor I Bojinov and Neil Shephard
      We define causal estimands for experiments on single time series, extending the potential outcome framework to dealing with temporal data. Our approach allows the estimation of a broad class of these estimands and exact randomization based p-values for testing causal... View Details
      Keywords: Causality; Nonparametric; Potential Outcomes; Trading Costs; Mathematical Methods
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      Bojinov, Iavor I., and Neil Shephard. "Time Series Experiments and Causal Estimands: Exact Randomization Tests and Trading." Journal of the American Statistical Association 114, no. 528 (2019): 1665–1682.
      • 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
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      Baldwin, Carliss Y. "Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 16 Capturing Value by Controlling Bottlenecks in Open Platform Systems." Harvard Business School Working Paper, No. 20-054, November 2019.
      • November 2019
      • Article

      Full Substitutability

      By: John William Hatfield, Scott Duke Kominers, Alexandru Nichifor, Michael Ostrovsky and Alexander Westkamp
      Various forms of substitutability are essential for establishing the existence of equilibria and other useful properties in diverse settings such as matching, auctions, and exchange economies with indivisible goods. We extend earlier models’ definitions of... View Details
      Keywords: Substitutability; Mathematical Methods; Auctions; Market Design
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      Hatfield, John William, Scott Duke Kominers, Alexandru Nichifor, Michael Ostrovsky, and Alexander Westkamp. "Full Substitutability." Theoretical Economics 14, no. 4 (November 2019): 1535–1590.
      • 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
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      Choudhury, Prithwiraj, Dan Wang, Natalie A. Carlson, and Tarun Khanna. "Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles." Strategic Management Journal 40, no. 11 (November 2019): 1705–1732.
      • October 2019
      • Case

      Regtech at HSBC

      By: Aiyesha Dey, Jonas Heese and James Weber
      Mark Cooke, Global Head of Operational Risk, needed to decide between a traditional regulatory control system and a new regtech system to manage non-financial risks. Non-financial risks failures such as money laundering and tax evasion had cost HSBC billions of... View Details
      Keywords: Risk Management; Banks and Banking; Collaborative Innovation and Invention; Banking Industry; Information Technology Industry; United Kingdom; United States
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      Dey, Aiyesha, Jonas Heese, and James Weber. "Regtech at HSBC." Harvard Business School Case 120-046, October 2019.
      • Article

      From Words to Pixels: Text and Image Mining Methods for Service Research

      By: Francisco Villarroel Ordenes and Shunyuan Zhang
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      Ordenes, Francisco Villarroel, and Shunyuan Zhang. "From Words to Pixels: Text and Image Mining Methods for Service Research." Journal of Service Management 30, no. 5 (2019): 593–620.
      • September 2019
      • Article

      Optimizing Reserves in School Choice: A Dynamic Programming Approach

      By: Franklyn Wang, Ravi Jagadeesan and Scott Duke Kominers
      We introduce a new model of school choice with reserves in which a social planner is constrained by a limited supply of reserve seats and tries to find an optimal matching according to a social welfare function. We construct the optimal distribution of reserves via a... View Details
      Keywords: Matching; Reserves; Dynamic Programming; Marketplace Matching; Mathematical Methods
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      Wang, Franklyn, Ravi Jagadeesan, and Scott Duke Kominers. "Optimizing Reserves in School Choice: A Dynamic Programming Approach." Operations Research Letters 47, no. 5 (September 2019): 438–446.
      • 2020
      • Working Paper

      Improving Regulatory Effectiveness Through Better Targeting: Evidence from OSHA

      By: Matthew S. Johnson, David I. Levine and Michael W. Toffel
      We study how a regulator can best target inspections. Our case study is a US Occupational Safety and Health Administration (OSHA) program that randomly allocated some inspections. On average, each inspection averted 2.4 serious injuries (9%) over the next five years.... View Details
      Keywords: Government Administration; Working Conditions; Safety; Quality; Production; Analysis; Resource Allocation; Manufacturing Industry; United States
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      Johnson, Matthew S., David I. Levine, and Michael W. Toffel. "Improving Regulatory Effectiveness Through Better Targeting: Evidence from OSHA." Harvard Business School Working Paper, No. 20-019, August 2019. (Revised February 2020.)
      • August 2019
      • Article

      When and How to Diversify—A Multicategory Utility Model for Personalized Content Recommendation

      By: Yicheng Song, Nachiketa Sahoo and Elie Ofek
      Sometimes we desire change, a break from the same or an opportunity to fulfill different aspects of our needs. Noting that consumers seek variety, several approaches have been developed to diversify items recommended by personalized recommender systems. However,... View Details
      Keywords: Recommender Systems; Personalization; Recommendation Diversity; Variety Seeking; Collaborative Filtering; Consumer Utility Models; Digital Media; Clickstream Analysis; Learning-to-rank; Consumer Behavior; Media; Customization and Personalization; Strategy; Mathematical Methods
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      Song, Yicheng, Nachiketa Sahoo, and Elie Ofek. "When and How to Diversify—A Multicategory Utility Model for Personalized Content Recommendation." Management Science 65, no. 8 (August 2019): 3737–3757.
      • July 2019
      • Case

      Christmas Inc. (A)

      By: Susanna Gallani, Gregory Sabin, Lexor Adams and Nicholas Haberling
      Santa Claus is facing increasing pressures to contain costs. The economic model that has worked for centuries is starting to show some cracks, to the point that he is considering outsourcing part of its toy production. Evaluating the bids his team collected from... View Details
      Keywords: Costing; Production; Cost; Analysis; Decision Making; Strategy
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      Gallani, Susanna, Gregory Sabin, Lexor Adams, and Nicholas Haberling. "Christmas Inc. (A)." Harvard Business School Case 120-009, July 2019.
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