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      • March, 2023
      • Article

      Academic Entrepreneurship: Entrepreneurial Advisors and Their Advisees' Outcomes

      By: Maria P. Roche
      The transfer of complex knowledge and skills is difficult, often requiring intensive interaction and extensive periods of co-working between a mentor and mentee, which is particularly true in apprenticeship-like settings and on-the-job training. This paper studies a... View Details
      Keywords: Entrepreneurship; Higher Education; Training; Personal Development and Career; Knowledge Dissemination
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      Roche, Maria P. "Academic Entrepreneurship: Entrepreneurial Advisors and Their Advisees' Outcomes." Organization Science 34, no. 2 (March, 2023): 959–986.
      • March–April 2023
      • Article

      Market Segmentation Trees

      By: Ali Aouad, Adam Elmachtoub, Kris J. Ferreira and Ryan McNellis
      Problem definition: We seek to provide an interpretable framework for segmenting users in a population for personalized decision making. Methodology/results: We propose a general methodology, market segmentation trees (MSTs), for learning market... View Details
      Keywords: Decision Trees; Computational Advertising; Market Segmentation; Analytics and Data Science; E-commerce; Consumer Behavior; Marketplace Matching; Marketing Channels; Digital Marketing
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      Aouad, Ali, Adam Elmachtoub, Kris J. Ferreira, and Ryan McNellis. "Market Segmentation Trees." Manufacturing & Service Operations Management 25, no. 2 (March–April 2023): 648–667.
      • 2023
      • Working Paper

      Translating Information into Action: A Public Health Experiment in Bangladesh

      By: Reshmaan Hussam, Kailash Pandey, Abu Shonchoy and Chikako Yamauchi
      While models of technology adoption posit learning as the basis of behavior change, information campaigns in public health frequently fail to change behavior. We design an information campaign embedding hand-hygiene edutainment within popular dramas using mobile... View Details
      Keywords: Handwashing; Public Health; Health; Information; Behavior; Change
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      Hussam, Reshmaan, Kailash Pandey, Abu Shonchoy, and Chikako Yamauchi. "Translating Information into Action: A Public Health Experiment in Bangladesh." Working Paper, February 2023.
      • February 2023 (Revised February 2025)
      • Case

      Doing Business in Athens, Greece

      By: Alan D. MacCormack, Carlota Moniz and Emilie Billaud
      This case examines the challenges and opportunities of doing business in Greece. It highlights Greece's economic transformation in the decades leading up to 2023 in the context of its history, culture, and politics. The case gives an overview of some of the main... View Details
      Keywords: Business and Government Relations; Technological Innovation; Foreign Direct Investment; Economic Growth; Financial Crisis; Technology Industry; Tourism Industry; Shipping Industry; Greece; Athens
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      MacCormack, Alan D., Carlota Moniz, and Emilie Billaud. "Doing Business in Athens, Greece." Harvard Business School Case 323-100, February 2023. (Revised February 2025.)
      • February 2023
      • Supplement

      Astyanax Kanakakis at norbloc: A Founder's Experience with the DIFC Fintech Hive

      By: Linda A. Hill and Lydia Begag
      norbloc was founded in 2016 in Stockholm, Sweden, by Astyanax Kanakakis and his co-founders, Vitalii Demianets and Sam Saatchi. Kanakakis and Demianets got to work to address a key gap in the industry: Know Your Customer (KYC) data sharing. As the first distributed KYC... View Details
      Keywords: Organizational Change and Adaptation; Organizational Design; Organizational Culture; Organizational Structure; Organizations; Leadership; Leadership Development; Leadership Style; Collaborative Innovation and Invention; Digital Transformation; Digital Strategy; Digital Platforms; Technology Adoption; Technological Innovation; Corporate Entrepreneurship; Business and Government Relations; Business Startups; Financial Services Industry; Technology Industry; Banking Industry; Information Technology Industry; Sweden; Europe; Singapore; London; United Arab Emirates; Dubai; Middle East; Athens; Greece
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      Hill, Linda A., and Lydia Begag. "Astyanax Kanakakis at norbloc: A Founder's Experience with the DIFC Fintech Hive." Harvard Business School Supplement 423-066, February 2023.
      • February 2023 (Revised March 2024)
      • Supplement

      Shanty Real Estate: Teaching Note Supplement

      By: Michael Luca and Jesse M. Shapiro
      Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough.... View Details
      Keywords: Decision Choices and Conditions; Decision Making; Measurement and Metrics; Market Timing
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      Luca, Michael, and Jesse M. Shapiro. "Shanty Real Estate: Teaching Note Supplement." Harvard Business School Spreadsheet Supplement 923-715, February 2023. (Revised March 2024.)
      • 2024
      • Working Paper

      Everyone Steps Back?: The Widespread Retraction of Crowd-Funding Support for Minority Creators When Migration Fear Is High

      By: John (Jianqui) Bai, William R. Kerr, Chi Wan and Alptug Yorulmaz
      We study racial biases on Kickstarter across multiple ethnic groups from 2009-2021. Scaling the concept of racially salient events, we quantify the close co-movement of minority funding gaps to inflamed political rhetoric surrounding migration. The racial funding gap... View Details
      Keywords: Crowdfunding; Prejudice and Bias; Race; Immigration; Public Opinion
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      Bai, John (Jianqui), William R. Kerr, Chi Wan, and Alptug Yorulmaz. "Everyone Steps Back? The Widespread Retraction of Crowd-Funding Support for Minority Creators When Migration Fear Is High." Harvard Business School Working Paper, No. 23-046, January 2023. (Revised February 2024.)
      • 2023
      • Working Paper

      Distributionally Robust Causal Inference with Observational Data

      By: Dimitris Bertsimas, Kosuke Imai and Michael Lingzhi Li
      We consider the estimation of average treatment effects in observational studies and propose a new framework of robust causal inference with unobserved confounders. Our approach is based on distributionally robust optimization and proceeds in two steps. We first... View Details
      Keywords: AI and Machine Learning; Mathematical Methods
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      Bertsimas, Dimitris, Kosuke Imai, and Michael Lingzhi Li. "Distributionally Robust Causal Inference with Observational Data." Working Paper, February 2023.
      • January–February 2023
      • Article

      Forecasting COVID-19 and Analyzing the Effect of Government Interventions

      By: Michael Lingzhi Li, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis and Dimitris Bertsimas
      We developed DELPHI, a novel epidemiological model for predicting detected cases and deaths in the prevaccination era of the COVID-19 pandemic. The model allows for underdetection of infections and effects of government interventions. We have applied DELPHI across more... View Details
      Keywords: COVID-19 Pandemic; Epidemics; Analytics and Data Science; Health Pandemics; AI and Machine Learning; Forecasting and Prediction
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      Li, Michael Lingzhi, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis, and Dimitris Bertsimas. "Forecasting COVID-19 and Analyzing the Effect of Government Interventions." Operations Research 71, no. 1 (January–February 2023): 184–201.
      • Working Paper

      Group Fairness in Dynamic Refugee Assignment

      By: Daniel Freund, Thodoris Lykouris, Elisabeth Paulson, Bradley Sturt and Wentao Weng
      Ensuring that refugees and asylum seekers thrive (e.g., find employment) in their host countries is a profound humanitarian goal, and a primary driver of employment is the geographic location within a host country to which the refugee or asylum seeker is... View Details
      Keywords: Refugees; Geographic Location; Mathematical Methods; Employment; Fairness
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      Freund, Daniel, Thodoris Lykouris, Elisabeth Paulson, Bradley Sturt, and Wentao Weng. "Group Fairness in Dynamic Refugee Assignment." Harvard Business School Working Paper, No. 23-047, February 2023.
      • 2023
      • Working Paper

      Networking Frictions: Evidence from Entrepreneurial Networking Events in Lomé

      By: Stefan Dimitiadis and Rembrand Koning
      Spatial proximity between firms plays a crucial role in entrepreneurship by creating knowledge spillovers, enabling resource sharing, and sparking productivity gains. Building on these insights, research has explored whether institutions and organizations can engineer... View Details
      Keywords: Local Range; Knowledge Sharing; Performance Productivity; Togo
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      Dimitiadis, Stefan, and Rembrand Koning. "Networking Frictions: Evidence from Entrepreneurial Networking Events in Lomé." Working Paper, February 2023.
      • February 2023
      • Article

      OTC Intermediaries

      By: Andrea L. Eisfeldt, Bernard Herskovic, Sriram Rajan and Emil Siriwardane
      We study the effect of dealer exit on prices and quantities in a model of an over-the-counter (OTC) market featuring a core-periphery network with bilateral trading costs. The model is calibrated using regulatory data on the entire U.S. credit default swap (CDS) market... View Details
      Keywords: OTC Markets; Intermediaries; Dealers; Credit Default Swaps; Risk Sharing; Financial Markets; Networks; Price; Risk and Uncertainty
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      Eisfeldt, Andrea L., Bernard Herskovic, Sriram Rajan, and Emil Siriwardane. "OTC Intermediaries." Review of Financial Studies 36, no. 2 (February 2023): 615–677.
      • January 2023 (Revised December 2023)
      • Case

      OhmConnect: Energizing the Future

      By: Jeffrey F. Rayport, Jennifer Fonstad and Nicole Tempest Keller
      Founded in 2013, OhmConnect was a free consumer web app that alerted customers about peak hours of electricity demand, and paid them to lower their energy use at home during these periods. The company sold the aggregated reductions generated by thousands of households... View Details
      Keywords: App Development; Renewable Energy; Electricity Usage; Regulations; VC; Technology; Customer Acquisition Cost (CAC); Scalability; Applications and Software; Growth and Development Strategy; Governing Rules, Regulations, and Reforms; Business Model; Venture Capital; Energy Industry; United States; California; Texas; Europe
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      Rayport, Jeffrey F., Jennifer Fonstad, and Nicole Tempest Keller. "OhmConnect: Energizing the Future." Harvard Business School Case 823-065, January 2023. (Revised December 2023.)
      • January 23, 2023
      • Article

      Click-by-click: Using Alternative Data to Make a Business Case for Culture

      By: Jillian Grennan and Joseph Pacelli
      Keywords: Organizational Culture; Value
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      Grennan, Jillian, and Joseph Pacelli. "Click-by-click: Using Alternative Data to Make a Business Case for Culture." CMR Insights (January 23, 2023).
      • January 2023
      • Supplement

      Apple: Privacy vs. Safety (B)

      By: Henry McGee, Nien-hê Hsieh and Christian Godwin
      In 2020, as the COVID-19 pandemic swept across the globe, Apple and Google partnered to develop a contact tracing application that would collect information about users infected with the disease and notify those who they had been in contact with. While Apple/Google’s... View Details
      Keywords: Iphone; Encryption; Data Privacy; Customers; Customer Focus and Relationships; Decision Making; Ethics; Values and Beliefs; Globalized Firms and Management; Government and Politics; Health; Health Pandemics; Leadership; Markets; Safety; Social Issues; Information Technology; Telecommunications Industry; Technology Industry; Consumer Products Industry; Electronics Industry; Health Industry; United States; Europe
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      McGee, Henry, Nien-hê Hsieh, and Christian Godwin. "Apple: Privacy vs. Safety (B)." Harvard Business School Supplement 323-066, January 2023.
      • January 2023 (Revised June 2023)
      • Case

      Replika: Embodying AI

      By: Shikhar Ghosh, Shweta Bagai and Marilyn Morgan Westner
      Replika was a virtual AI companion that provided a way for people to process their emotions, build connections in a safe environment, and get through periods of loneliness. The chatbot fulfilled a user's need for a friend, romantic partner, or purely an emotional... View Details
      Keywords: AI; AI and Machine Learning; Applications and Software; Human Needs; California
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      Ghosh, Shikhar, Shweta Bagai, and Marilyn Morgan Westner. "Replika: Embodying AI." Harvard Business School Case 823-090, January 2023. (Revised June 2023.)
      • January 2023
      • Case

      Thomas Buberl: Refounding AXA

      By: Hubert Joly, Mihir Desai and Amram Migdal
      In 2022, AXA and its CEO Thomas Buberl faced new types of challenges, including systemic risks such as climate change, geopolitical instability, public health crises, and social tensions caused by economic risks. AXA was one of the world’s largest insurers. Since... View Details
      Keywords: Change; Change Management; Transformation; Transition; Trends; Environmental Management; Climate Change; Ethics; Values and Beliefs; Finance; Insurance; Management; Management Succession; Risk Management; Organizations; Corporate Social Responsibility and Impact; Mission and Purpose; Organizational Change and Adaptation; Planning; Strategic Planning; Risk and Uncertainty; Society; Human Needs; Social Issues; Strategy; Adaptation; Business Strategy; Corporate Strategy; Insurance Industry; Europe; France; Paris
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      Joly, Hubert, Mihir Desai, and Amram Migdal. "Thomas Buberl: Refounding AXA." Harvard Business School Case 523-059, January 2023.
      • January–February 2023
      • Article

      Data-Driven COVID-19 Vaccine Development for Janssen

      By: Dimitris Bertsimas, Michael Lingzhi Li, Xinggang Liu, Jennings Xu and Najat Khan
      The COVID-19 pandemic has spurred extensive vaccine research worldwide. One crucial part of vaccine development is the phase III clinical trial that assesses the vaccine for safety and efficacy in the prevention of COVID-19. In this work, we enumerate the first... View Details
      Keywords: COVID-19; Health Testing and Trials; Forecasting and Prediction; AI and Machine Learning; Research; Pharmaceutical Industry
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      Bertsimas, Dimitris, Michael Lingzhi Li, Xinggang Liu, Jennings Xu, and Najat Khan. "Data-Driven COVID-19 Vaccine Development for Janssen." INFORMS Journal on Applied Analytics 53, no. 1 (January–February 2023): 70–84.
      • 2023
      • Article

      Evaluating Explainability for Graph Neural Networks

      By: Chirag Agarwal, Owen Queen, Himabindu Lakkaraju and Marinka Zitnik
      As explanations are increasingly used to understand the behavior of graph neural networks (GNNs), evaluating the quality and reliability of GNN explanations is crucial. However, assessing the quality of GNN explanations is challenging as existing graph datasets have no... View Details
      Keywords: Analytics and Data Science
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      Agarwal, Chirag, Owen Queen, Himabindu Lakkaraju, and Marinka Zitnik. "Evaluating Explainability for Graph Neural Networks." Art. 114. Scientific Data 10 (2023).
      • 2023
      • Article

      Experimental Evaluation of Individualized Treatment Rules

      By: Kosuke Imai and Michael Lingzhi Li
      The increasing availability of individual-level data has led to numerous applications of individualized (or personalized) treatment rules (ITRs). Policy makers often wish to empirically evaluate ITRs and compare their relative performance before implementing them in a... View Details
      Keywords: Causal Inference; Heterogeneous Treatment Effects; Precision Medicine; Uplift Modeling; Analytics and Data Science; AI and Machine Learning
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      Imai, Kosuke, and Michael Lingzhi Li. "Experimental Evaluation of Individualized Treatment Rules." Journal of the American Statistical Association 118, no. 541 (2023): 242–256.
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