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- January 2023
- Case
Baofeng's Philanthropic Efforts in China
By: Lauren Cohen, Hao Gao, Bo Li and Zhaoheng Gong
Yanbao Dang, President of Baofeng Group and founder of the Yanbao Foundation, Baofeng Group’s philanthropic arm, weighed how the family nonprofit could maximize its impact. On a mission to eliminating poverty through broadening access to educational opportunities in... View Details
- 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
- 2023
- Working Paper
Leadership and the Value of Persistence
By: James J. Anton, Alan Jaske and Dennis Yao
Consider a leader’s decision whether to persist with an unsuccessful R&D project
or to terminate the project in favor of a new project with an uncertain value. How
does that decision affect the effort exerted by the manager assigned to the project? To
study this... View Details
- January 2023
- Supplement
Organizational Climate Transition Risk Model
By: George Serafeim and Benjamin Maletta
- 2023
- Working Paper
The Subjective Expected Utility Approach and a Framework for Defining Project Risk in Terms of Novelty and Feasibility—A Response to Franzoni and Stephan (2023), ‘Uncertainty and Risk-Taking in Science’
In their Discussion Paper, Franzoni and Stephan (F&S, 2023) discuss the shortcomings of existing peer review models in shaping the funding of risky science. Their discussion offers a conceptual framework for incorporating risk into peer review models of research... View Details
- 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
- 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
- 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
- Winter 2023
- Article
Moral Firms?
Building a new political economy requires transforming our markets, our institutions, and our policy and regulatory regimes. In this essay, I argue that it also requires transforming the purpose of the firm: from a singular focus on maximizing financial returns to the... View Details
- January 2023
- Article
Social Networks, Ethnicity, and Entrepreneurship
By: William R. Kerr and Martin Mandorff
We study the relationship between ethnicity, occupational choice, and entrepreneurship. Immigrant groups in the United States cluster in specific business sectors. For example, Koreans are 34 times more concentrated in self-employment for dry cleaning than other... View Details
- January–February 2023
- Article
The Overlooked Key to a Successful Scale-Up
By: Jeffrey F. Rayport, Davide Sola and Martin Kupp
Many start-ups experience enormous popularity and runaway growth, but only a few go on to become stable giants. What separates them from the pack? They all go through a developmental stage called extrapolation, say three business school professors.
View Details
- December 2022
- Case
Mission Produce in 2022
By: Forest Reinhardt, Jose B. Alvarez and Natalie Kindred
Founded by CEO Steve Barnard in 1983, California-based Mission Produce was a leading supplier of Hass avocados with a global sourcing, marketing, and distribution network and $892 million in 2021 sales. Barnard had been influential in the global avocado trade’s... View Details
- 2023
- Working Paper
Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development
By: Daniel Yue, Paul Hamilton and Iavor Bojinov
Predictive model development is understudied despite its centrality in modern artificial
intelligence and machine learning business applications. Although prior discussions
highlight advances in methods (along the dimensions of data, computing power, and
algorithms)... View Details
Keywords: Analytics and Data Science
- December 2022 (Revised August 2023)
- Case
Circles.Life at a Crossroads of Growth
By: Juan Alcácer and Adina Wong
In June 2022, the founders of Singapore mobile operator Circles.Life had a crucial decision to make. Circles.Life developed a new business model in mobile telecommunications—a digital telco—built around its proprietary operating system. After expanding its brand in... View Details
- December 7, 2022
- Article
Why Decentralized Crypto Platforms Are Weathering the Crash
By: Shai Bernstein and Scott Duke Kominers
In the past year, crypto markets dropped from $2.9 trillion in value to around $800 billion. In the wake of the collapse, crypto lenders and exchanges have been accused of fraud and other wrongdoing. What went wrong? One factor is competition. In theory, competition... View Details
- December 13, 2022
- Article
6 Ways Companies Fail to Help Workers Grow
By: Joseph Fuller, Matthew Sigelman and Nik Dawson
The authors recently studied Fortune 250 companies and ranked them based on the lived experience of three million of their U.S. workers. One of their key findings was that even top-ranked firms fail to deliver consistently on worker advancement. To understand why this... View Details
- 2022
- Article
Efficiently Training Low-Curvature Neural Networks
By: Suraj Srinivas, Kyle Matoba, Himabindu Lakkaraju and Francois Fleuret
Standard deep neural networks often have excess non-linearity, making them susceptible to issues such as low adversarial robustness and gradient instability. Common methods to address these downstream issues, such as adversarial training, are expensive and often... View Details
Keywords: AI and Machine Learning
- December 2022
- Article
I Don't 'Recall': The Decision to Delay Innovation Launch to Avoid Costly Product Failure
By: Byungyeon Kim, Oded Koenigsberg and Elie Ofek
Innovations embody novel features or cutting-edge components aimed at delivering desired customer benefits.
Oftentimes, however, we observe the need to recall new products shortly after their introduction. Indeed, a firm
may rush an innovation to market in an attempt... View Details
- 2022
- Article
OpenXAI: Towards a Transparent Evaluation of Model Explanations
By: Chirag Agarwal, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik and Himabindu Lakkaraju
While several types of post hoc explanation methods have been proposed in recent literature, there is very little work on systematically benchmarking these methods. Here, we introduce OpenXAI, a comprehensive and extensible opensource framework for evaluating and... View Details
- 2022
- Article
Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations
By: Tessa Han, Suraj Srinivas and Himabindu Lakkaraju
A critical problem in the field of post hoc explainability is the lack of a common foundational goal among methods. For example, some methods are motivated by function approximation, some by game theoretic notions, and some by obtaining clean visualizations. This... View Details