Publications

06 Aug 2007
Research & Ideas

High Hills, Deep Poverty: Explaining Civil War in Nepal

Civil wars have been the dominant form of conflict around the world since World War II, resulting in approximately 20 million deaths. But it's not just sociologists who are diving into the roots of conflict. Increasingly, economists are examining these events to View Details

Keywords: by Martha Lagace

June 2019
Article

Learning From Mum: Cross-National Evidence Linking Maternal Employment and Adult Children’s Outcomes

By: Kathleen L. McGinn, Mayra Ruiz Castro and Elizabeth Long Lingo

Analyses relying on two international surveys from over 100,000 men and women across 29 countries explore the relationship between maternal employment and adult daughters’ and sons’ employment and domestic outcomes. In the employment sphere, adult daughters, but not... View Details

Keywords: Female Labor Force Participation; Gender Attitudes; Household Labor; Maternal Employment; Social Class; Social Learning Theory; Social Mobility; Employment; Gender; Attitudes; Household; Labor; Learning; Outcome or Result

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May 2022 (Revised July 2022)
Case

The Voice War Continues: Hey Google vs. Alexa vs. Siri in 2022

By: David B. Yoffie and Daniel Fisher

In 2022, after five years of pursuing a new "AI-first" strategy, Google had captured a sizeable share of the American and global markets for voice assistants. Google Assistant was used by hundreds of millions of users around the world, but Amazon retained the largest... View Details

Keywords: Strategy; Artificial Intelligence; Deep Learning; Voice Assistants; Smart Home; Market Share; Globalized Markets and Industries; Competitive Strategy; Digital Platforms; AI and Machine Learning; Technology Industry; United States

Educators

March 2023
Article

Learning to Successfully Hire in Online Labor Markets

By: Marios Kokkodis and Sam Ransbotham

Hiring in online labor markets involves considerable uncertainty: which hiring choices are more likely to yield successful outcomes and how do employers adjust their hiring behaviors to make such choices? We argue that employers will initially explore the value of... View Details

Keywords: Selection and Staffing; Analysis; Decision Choices and Conditions

15 Nov 2006
Research & Ideas

Lessons Not Learned About Innovation

be rediscovered in each managerial generation (about every six years) as a fundamental way to enable new growth. But each generation seems to have forgotten or never learned the mistakes of the past, so we see classic traps repeated over... View Details

Keywords: by Sean Silverthorne

August 2022
Article

What Makes a Good Image? Airbnb Demand Analytics Leveraging Interpretable Image Features

By: Shunyuan Zhang, Dokyun Lee, Param Vir Singh and Kannan Srinivasan

We study how Airbnb property demand changed after the acquisition of verified images (taken by Airbnb’s photographers) and explore what makes a good image for an Airbnb property. Using deep learning and difference-in-difference analyses on an Airbnb panel dataset... View Details

Keywords: Sharing Economy; Airbnb; Property Demand; Computer Vision; Deep Learning; Image Feature Extraction; Content Engineering; Property; Marketing; Demand and Consumers

SSRN

April 2011
Article

What Can We Learn from 'Great Negotiations'?

By: James K. Sebenius

What can one legitimately learn-analytically and/or prescriptively-from detailed historical case studies of "great negotiations," chosen more for their salience than their analytic characteristics or comparability? Taking a number of such cases compiled by Stanton... View Details

Keywords: Learning; International Relations; History; Agreements and Arrangements; Negotiation Process; Conflict and Resolution

Teaching Interest

Interpretability and Explainability in Machine Learning

By: Himabindu Lakkaraju

As machine learning models are increasingly being employed to aid decision makers in high-stakes settings such as healthcare and criminal justice, it is important to ensure that the decision makers correctly understand and consequent trust the functionality of these... View Details

05 Jul 2006
Working Paper Summaries

Deep Links: Business School Students’ Perceptions of the Role of Law and Ethics in Business

Keywords: by Constance E. Bagley, Gavin Clarkson & Rachel Power; Legal Services

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

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November 2024
Supplement

AlphaGo (C): Birth of a New Intelligence

By: Shikhar Ghosh and Shweta Bagai

This case, the final of a three-part series, explores DeepMind's pivotal transition from mastering games to solving real-world scientific challenges. In December 2020, DeepMind's AI system AlphaFold 2 achieved a breakthrough by solving protein folding—a 50-year-old... View Details

Keywords: Autonomy; Deep Learning; Drug Discovery; Healthcare Innovation; Neural Networks; Scientific Research; Technology Startup; AI and Machine Learning; Technological Innovation; Research and Development; Business Model; Business Strategy; Open Source Distribution; Technology Industry; United States

05 Feb 2015
Research & Ideas

How New BofA Executives Learn its ’Deep Smarts’

Company's Deep Smarts offers a roadmap for ensuring that critical knowledge remains in the organization. This excerpt focuses on the executive onboarding practice at Bank of America. Dorothy Leonard is the William J. Abernathy Professor... View Details

Keywords: Re: Dorothy A. Leonard; Banking

Research Summary

Innovating in Energy: Learning from High-Potential Ventures

By: Joseph B. Lassiter

My work at HBS has always focused on high-potential ventures. Most recently, these have been professionally financed start-ups and buyouts in newly emerging energy and cleantech businesses. These ventures tend to be based on innovative insights into technology and... View Details

July 2019 (Revised November 2019)
Case

Osaro: Picking the Best Path

By: William R. Kerr, James Palano and Bastiane Huang

The founder of Osaro saw the potential of deep reinforcement learning to allow robots to be applied to new applications. Osaro targeted warehousing, already a dynamic industry for robotics and automation, for its initial product—a system which would allow robotic arms... View Details

Educators