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- November–December 2024
- Article
Scaling Up Transformational Innovations
By: Peter Koen, Ananya Sheth, Mike DiPaola and Linda A. Hill
For large companies operating in mature sectors—such as Procter & Gamble in consumer goods, Apple in consumer electronics, and Adobe in cloud software—driving growth is a perennial challenge. Growth through acquisition is always an option, but companies often quickly... View Details
- September 26, 2024
- Article
A Better Way to Measure Social Impact
By: Robert S. Kaplan and Constance Spitzer
All impact investors report the financial returns from their funds and investments, and many provide metrics on intended social outcomes, such as numbers of individuals served, or quality jobs created. But investors do not supply metrics about their impacts on... View Details
- 2024
- Chapter
Corporations as the Central Institutions of Society
Mark Twain observed that, “Prediction is very difficult—particularly when it involves the future,” and he was right. One way to reduce the risk of becoming an infamous forecaster—like the experts who told us the Internet would quickly collapse, that Apple would never... View Details
- July–August 2024
- Article
Disclosing Downstream Emissions
By: Robert S. Kaplan and Karthik Ramanna
An increasing number of companies are using the E-liability carbon-accounting method as an important tool for tracking progress toward reducing global emissions in their supply chains. The system does not require formal accounting for downstream emissions—those... View Details
- May 2024
- Article
Moral Thin-Slicing: Forming Moral Impressions from a Brief Glance
By: Julian De Freitas and Alon Hafri
Despite the modern rarity with which people are visual witness to moral transgressions involving
physical harm, such transgressions are more accessible than ever thanks to their availability on
social media and in the news. On one hand, the literature suggests that... View Details
Keywords: Moral Judgement; Thin Slices; Social Media; Fake News; Misinformation; Moral Sensibility; News; Behavior
- April 2024
- Article
A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification
By: Hsin-Hsiao Scott Wang, Michael Lingzhi Li, Dylan Cahill, John Panagides, Tanya Logvinenko, Jeanne Chow and Caleb Nelson
Backgrounds: Urinary Tract Dilation (UTD) classification has been designed to be a more objective grading system to evaluate antenatal and post-natal UTD. Due to unclear association between UTD classifications to specific anomalies such as vesico-ureteral reflux (VUR),... View Details
- January 2024
- Case
Colbún and Chile's Energy Transition
By: Forest Reinhardt, Jenyfeer Martinez Buitrago and Mariana Cal
In May 2023, Colbún, Chile’s second-largest electricity generator, plans capacity expansions using renewable energy and storage. This strategy supports Chile’s commitment to carbon neutrality (also known as net zero emissions) by 2050. The case delves into the... View Details
- 2024
- Working Paper
Lost in Transmission
By: Thomas Graeber, Shakked Noy and Christopher Roth
For many decisions, people rely on information received from others by word of mouth. How does the process of verbal transmission distort economic information? In our experiments, participants listen to audio recordings containing economic forecasts and are paid to... View Details
- 2024
- Conference Paper
Quantifying Uncertainty in Natural Language Explanations of Large Language Models
By: Himabindu Lakkaraju, Sree Harsha Tanneru and Chirag Agarwal
Large Language Models (LLMs) are increasingly used as powerful tools for several
high-stakes natural language processing (NLP) applications. Recent prompting
works claim to elicit intermediate reasoning steps and key tokens that serve as
proxy explanations for LLM... View Details
- November 22, 2023
- Article
Unifying Your Company Around a Moral Goal
By: Ranjay Gulati
In turbulent times, companies need a reliable anchor to guide decision-making. When organizations become moral communities, underpinned by purpose, they provide that stability for stakeholders as well as a reassuring sense of hope, solidarity, agency, and meaning.... View Details
- December 2023
- Article
When Should the Off-Grid Sun Shine at Night? Optimum Renewable Generation and Energy Storage Investments
By: Christian Kaps, Simone Marinesi and Serguei Netessine
Globally, 1.5 billion people live off the grid, their only access to electricity often limited to operationally-expensive fossil fuel generators. Solar power has risen as a sustainable and less costly option, but its generation is variable during the day and... View Details
- May 2023
- Case
Natural Gas in New England
By: Robin Greenwood, Richard S. Ruback and Gil Highet
Participants in the New England power market are exploring several strategies to meet the region's renewable power goals while also providing its residents with inexpensive and reliable electricity and heating fuel. New England was a first-mover into natural gas power... View Details
- May 2023 (Revised June 2023)
- Case
Harvard University and Urban Mining Industries: Decarbonizing the Supply Chain
By: Shirley Lu and Robert S. Kaplan
The case describes Harvard University’s consideration to decarbonize its supply chain by replacing cement with a low-carbon substitute called Pozzotive®. Developed and produced by Urban Mining Industries, Pozzotive® is a ground-glass material made with post-consumer... View Details
- 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
- February 10, 2023
- Article
The Case for Having a Boring CEO
CEOs who avoid the cameras and minimize drama offer valuable leadership lessons. Their lifestyles aren’t splashed on the pages of magazines. They don’t speak out on every public issue, and their pronouncements are balanced and cautious. Sometimes when I name them as my... View Details
Keywords: CEO; Leadership; Company Management; Personal Brand; Reliability; Humility; Public Opinion
- 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
- October 25, 2022
- Article
Why Sharing Economic Growth with the Community Is Good Business
By: José A. Tiburcio, Lino Miguel Dias and Robert S. Kaplan
Subsistence dairy ranchers in Central America struggle to stay afloat during the dry season when grass is scarce. Global life sciences company Bayer has launched a program to enable them to produce their own corn silage feed. The results of this program are helping to... View Details
- October 2022 (Revised December 2022)
- Case
SMART: AI and Machine Learning for Wildlife Conservation
By: Brian Trelstad and Bonnie Yining Cao
Spatial Monitoring and Reporting Tool (SMART), a set of software and analytical tools designed for the purpose of wildlife conservation, had demonstrated significant improvements in patrol coverage, with some observed reductions in poaching and contributing to wildlife... 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
- August 2022 (Revised November 2024)
- Case
Sweet Teez Bakery: Projecting the Dough’s Rise
By: Emily R. McComb, Mel Martin and Amy Klopfenstein
In 2021, the HBS Impact Investment Fund student team met with entrepreneur Teresa Maynard, who had applied for a $25,000 impact investment loan. The students thought the former Harvard Data Scientist’s bakery business, Sweet Teez Bakery, showed promise. Maynard had... View Details