Publications
Publications
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- All HBS Web
(3,752)
- Faculty Publications (477)
- 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
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
- 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
- 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
- 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 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
- 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
- November 2022
- Case
Ajax Health: A New Model for Medical Technology Innovation
By: Regina E. Herzlinger and Ben Creo
This case teaches key success factors for both startup and established MedTech firms. It examines how to structure a firm to maximize innovation and financial returns with organizational structures that better align the incentives for the different skill sets... View Details
- November 2022
- Case
The Battle Among Channels for Marketing Pharmaceuticals: UpScript, Pharmacy Benefit Managers, and Direct-to-Consumer Sales
By: Regina E. Herzlinger and Tiffany Farrell
Can an online, direct-to-consumer pharmacy both improve the quality and speed of care for patients who need branded drugs and stabilize profits for pharmaceutical manufacturers? UpScript, after years spent achieving legal and regulatory compliance and simultaneous... View Details
- October 2022
- Case
Star Magnolia Capital: Becoming Experts at Finding Experts
By: Lauren Cohen, Hao Gao, River Ewing and Grace Headinger
Shinya Deguchi, Founder and Managing Partner of Star Magnolia Capital, a Shanghai-based multi-family office (MFO), considered how to convince a new prospective family that the MFO’s endowment model approach would best suit their needs. In recent decades, there has been... View Details
- June 2022
- Article
A New Initiative to Track HIV Resource Allocation and Costs
By: Ryan McBain, AK Nandakumar, Michael Ruffner, Carlyn Mann, Mai Hijazi, Susanna Baker, Linden Morrison, Kalipso Chalkidou, Shufang Zhang, Iris Semini, Fern Terris-Prestholt, Steven Forsythe, Sarah Byakika, Joshua Musinguzi and Robert S. Kaplan
In early 2020, several global health institutions – including the Global Fund to Fight AIDS, Tuberculosis and Malaria; Joint United Nations Program on HIV/AIDS (UNAIDS); United States Agency for International Development; and Office of the Global AIDS Coordinator at... View Details
- 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
- 2022
- Working Paper
Buy Now, Pay Later Credit: User Characteristics and Effects on Spending Patterns
By: Marco Di Maggio, Justin Katz and Emily Williams
Firms offering "buy now, pay later" (BNPL) point-of-sale installment loans with minimal underwriting and low interest have captured a growing fraction of the market for short-term unsecured consumer credit. We provide a detailed look into the US BNPL market by... View Details
- October 2022
- Article
How Leaders with Divergent Visions Generate Novel Strategy: Navigating the Paradox of Preservation and Modernization in Swiss Watchmaking
By: Ryan Raffaelli, Rich DeJordy and Rory M. McDonald
How do leaders with divergent visions for their organization come together to create a novel strategy? This paper employs paradox as a lens to investigate how leader-dyads can integrate opposing strategies to produce a new, generative approach. Drawing on a qualitative... View Details
- October 2022
- Article
Sovereign Risk, Currency Risk, and Corporate Balance Sheets
By: Wenxin Du and Jesse Schreger
We provide a comprehensive account of the evolution of the currency composition of sovereign and corporate external borrowing by emerging markets from 2003 to 2017. We show that a higher reliance on foreign currency debt by the corporate sector is associated with... View Details
- Fall 2022
- Article
China's Political Economy and International Backlash: From Interdependence to Security Dilemma Dynamics
By: Margaret Pearson, Meg Rithmire and Kellee Tsai
Contrary to expectations that economic interdependence might lessen security conflict between China and the U.S. and its allies, much of the contestation between China and several OECD countries has focused on firms and economic links. This paper explains the... View Details
- 2022
- Working Paper
Slowly Varying Regression under Sparsity
By: Dimitris Bertsimas, Vassilis Digalakis Jr, Michael Lingzhi Li and Omar Skali Lami
We consider the problem of parameter estimation in slowly varying regression models with sparsity constraints. We formulate the problem as a mixed integer optimization problem and demonstrate that it can be reformulated exactly as a binary convex optimization problem... View Details
Keywords: Mathematical Methods
- August 2022
- Exercise
Joy4Home Brands: Pricing Matters
By: Elie Ofek, Oded Koenigsberg and Marco Bertini
Joy4Home Brands, the maker of novel houseware items, was gearing up for its launch. The company would be introducing two lines: kitchenware products and storage containers. The initial go-to-market plan called for a direct to consumer (DTC) channel strategy. While... View Details
- August 2022 (Revised December 2022)
- Case
Iluméxico: For Every Family to Have Power
By: Brian Trelstad, Isa Oliveres and Jenyfeer Martinez Buitrago
In 2022, Manuel Wiechers, the CEO of Iluméxico, a for-profit social enterprise that provided off-grid solar energy services in rural Mexico, was finalizing his presentation for the company’s upcoming board meeting. In the 12 years since Wiechers had co-founded... View Details