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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

June 2020
Article

Frenemies in Platform Markets: Heterogeneous Profit Foci as Drivers of Compatibility Decisions

By: Ron Adner, Jianqing Chen and Feng Zhu

We study compatibility decisions of two competing platform owners that generate profits through both hardware sales and royalties from content sales. We consider a game-theoretic model in which two platforms offer different standalone utilities to users. We find that... View Details

Keywords: Compatibility; Platform Competition; Profit Foci; Digital Platforms; Competition; Profit; Decision Making

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2020
Working Paper

Paying It Backward and Forward: Expanding Access to Convalescent Plasma Therapy Through Market Design

By: Scott Duke Kominers, Parag A. Pathak, Tayfun Sönmez and M. Utku Ünver

COVID-19 convalescent plasma (CCP) therapy is currently a leading treatment for COVID-19. At present, there is a shortage of CCP relative to demand. We develop and analyze a model of centralized CCP allocation that incorporates both donation and distribution. In order... View Details

Keywords: COVID-19; Convalescent Plasma; Vouchers; Health Pandemics; Health Care and Treatment; Resource Allocation; Market Design

2020
Working Paper

Social Interactions in Pandemics: Fear, Altruism, and Reciprocity

By: Laura Alfaro, Ester Faia, Nora Lamersdorf and Farzad Saidi

In SIR models, homogeneous or with a network structure, infection rates are assumed to be exogenous. However, individuals adjust their behavior. Using daily data for 89 cities worldwide, we document that mobility falls in response to fear, as approximated by Google... View Details

Keywords: Social Interactions; Pandemics; Mobility; Cities; SIR Networks; Social Preferences; Social Planner; Targeted Policies; Health Pandemics; Interpersonal Communication; Behavior; Policy

Article

The Price of Anarchy of Self-Selection in Tullock Contests

By: Hau Chan, David C. Parkes and Karim R. Lakhani

Crowdsourcing platforms operate by offering their clients the ability to obtain cost-effective solutions for their problems through contests. The top contestants with the best solutions are rewarded, and the submitted solutions are provided to the clients. Within the... View Details

Keywords: Crowdsourcing Contests; Game Theory

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April 2020
Teaching Note

Tailor Brands: Artificial Intelligence-Driven Branding

Using proprietary artificial intelligence technology, startup Tailor Brands set out to democratize branding by allowing small businesses to create their brand identities by automatically generating logos in just minutes at minimal cost with no branding or design skills... View Details

Keywords: Marketing; Brands and Branding; Marketing Strategy; Advertising Industry; Technology Industry; United States; North America

March 2020
Case

Forbidden City: Launching a Craft Beer in China

By: Christopher A. Bartlett and Carole Carlson

This case describes a difficult choice faced by Victor Wang, Managing Director of Singapore-based Eurasian Brewing Company (EBC), concerning the competing product launch plans of Le Jie, Vice President of EBC's China and East Asian operations, and Vivian Chin, EBC's... View Details

Keywords: Subsidiary Management; Craft Brewing; Strategy; Decision Making; Organizational Structure; Business Model; Growth and Development Strategy; Entrepreneurship; Management Style; Food and Beverage Industry; China; East Asia

March 2020
Supplement

People Analytics at Teach For America (B)

By: Jeffrey T. Polzer and Julia Kelley

This is a supplement to the People Analytics at Teach For America (A) case. In this supplement, situated one year after the A case, Managing Director Michael Metzger must decide how to apply his team's predictive models generated from the previous year’s data. View Details

Keywords: Analytics; Human Resource Management; Data; Workforce; Hiring; Talent Management; Forecasting; Predictive Analytics; Organizational Behavior; Recruiting; Analytics and Data Science; Forecasting and Prediction; Recruitment; Selection and Staffing; Talent and Talent Management

2020
Working Paper

A General Theory of Identification

By: Iavor Bojinov and Guillaume Basse

What does it mean to say that a quantity is identifiable from the data? Statisticians seem to agree on a definition in the context of parametric statistical models — roughly, a parameter θ in a model P = {Pθ : θ ∈ Θ} is identifiable if the mapping θ 7→ Pθ is injective.... View Details

Keywords: Identification; Econometric Models; Analytics and Data Science; Theory

2020
Book

Experimentation Works: The Surprising Power of Business Experiments

By: Stefan Thomke

Don’t fly blind. See how the power of experiments works for you. When it comes to improving customer experiences, trying out new business models, or developing new products, even the most experienced managers often get it wrong. They discover that intuition,... View Details

Keywords: Experimentation; Experiments; Market Research; Innovation and Invention; Innovation and Management; Customers; Research

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January 2020 (Revised July 2020)
Case

BlackRock: Linking Purpose to Profit

By: Aiyesha Dey

The case revolves around the actions that Barbara Novick, co-founder and Vice-Chair of Blackrock, and Michelle Edkins, Global Head of Investment Stewardship, would need to take in response to the controversial CEO letters from Laurence (Larry) Fink, Chairman and CEO of... View Details

January 2020
Case

SK Group: Social Progress Credits

By: George Serafeim, Ethan Rouen and David Freiberg

SK Group was one of the largest companies South Korea. A family-run conglomerate consisting of around 120 subsidiaries and employing more than 100,000, SK was tightly knit into the fabric of Korean society. SK viewed their future success as contingent upon the strength... View Details

January 2020 (Revised July 2020)
Supplement

MoviePass: The 'Get Big Fast' Strategy

By: Benjamin C. Esty and Daniel Fisher

In August 2017, MoviePass dramatically lowered its subscription price from $50 per month to just $10 for up to one movie per day. The idea was to rapidly scale the business to the point where they could generate incremental revenue streams form related businesses... View Details

January 2020 (Revised March 2020)
Case

LOLA: Do You Know What's in Your Tampon?

By: Leonard A. Schlesinger and Aldo Sesia

LOLA is a direct-to-consumer (DTC) business launched in 2015. What started as a company to provide women with organic and transparent material-labeled tampons via a subscription model, had, by 2019 evolved to include additional menstrual and sexual wellness products.... View Details

Keywords: Direct-to-consumer; Channels; Disruption; Business Model; Brands and Branding; Internet and the Web; Strategy; Retail Industry; United States; Canada

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

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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2020
Working Paper

Internal Models, Make Believe Prices, and Bond Market Cornering

By: Ishita Sen and Varun Sharma

Exploiting position-level heterogeneity in regulatory incentives to misreport and novel data on regulators, we document that U.S. life insurers inflate the values of corporate bonds using internal models. We estimate an additional $9-$18 billion decline in regulatory... View Details

Keywords: Life Insurers; Capital Regulation; Internal Models; Corporate Bonds; Regulatory Supervision; Concentrated Ownership; Bonds; Capital; Governing Rules, Regulations, and Reforms; Insurance; Investment Portfolio

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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2019
Working Paper

Optimal Interventions for Increasing Healthy Food Consumption Among Low Income Households

By: Retsef Levi, Elisabeth Paulson and Georgia Perakis

The federal government currently spends over $100 billion per year on policies aimed to increase fruit and vegetable (FV) consumption among low income households. These include price-, nutrition education-, and access-related interventions. Currently, the government... View Details

Keywords: Bi-level Optimization; Optimal Subsidies; Public Policy; Food Policy; Central Planner; Government Administration; Poverty; Food; Nutrition

2019
Working Paper

Intelligent Design of Inclusive Growth Strategies

By: Robert S. Kaplan, George Serafeim and Eduardo Tugendhat

Improving corporate engagement with society, as advocated in the Business Roundtable’s 2019 statement, should not be viewed as a zero-sum proposition where attention to new stakeholders detracts from delivering shareholder value. Corporate programs for sustainable and... View Details

Keywords: Inclusion; Sustainability; Performance Measures; Environmental Sustainability; Social Issues; Strategy; Governance; Corporate Social Responsibility and Impact; Business and Stakeholder Relations

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