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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
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  • 22 Feb 2024
  • Research & Ideas

How to Make AI 'Forget' All the Private Data It Shouldn't Have

There’s a virtual elephant in AI’s room: It’s nearly impossible to make the technology forget. And there are an increasing number of scenarios where consumers and programmers may not only want to remove data from a machine View Details
Keywords: by Rachel Layne; Technology; Information Technology
  • November 2024 (Revised January 2025)
  • Case

MiDAS: Automating Unemployment Benefits

By: Shikhar Ghosh and Shweta Bagai
In 2015, the state of Michigan considered whether to nominate its Michigan Integrated Data Automated System (MiDAS) for a prestigious state technology award. Launched in 2013 amid severe budget pressures, the $47 million automated fraud detection system was designed to... View Details
Keywords: Artificial Intelligence; AI; Machine Learning Models; Algorithmic Data; Automation; Benefits; Compensation; Cost Reduction; Government; Fraud; Government Technology; Public Sector; Systems; Systems Integration; Unemployment Insurance; Waste Heat Recovery; AI and Machine Learning; Government Administration; Insurance; Decision Making; Digital Transformation; Employment; Public Administration Industry; United States; Michigan
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  • Teaching Interest

Empirical Technology and Operations Management Course

By: Himabindu Lakkaraju
I taught a set of lectures on "Introduction to Machine Learning for Social Scientists" as part of this required course for first year PhD students. This module familiarizes students with all the basic concepts in machine learning, their implementations, as well as the... View Details
  • Spring 2021
  • Article

Corporate Resilience and Response During COVID-19

By: Alex Cheema-Fox, Bridget LaPerla, George Serafeim and Hui (Stacie) Wang
The coronavirus pandemic caused a sharp market decline while raising heterogeneous responses across companies related to their employees, supply chain, and repurposing of operations to provide needed products and services. We study whether during the 2020 COVID-19... View Details
Keywords: ESG; COVID-19; Coronavirus; Crisis Response Plans; Crisis; ESG (Environmental, Social, Governance) Performance; ESG Ratings; Leadership & Corporate Accountability; Big Data; Machine Learning; Investor Behavior; Institutional Investors; Corporate Performance; Health Pandemics; Crisis Management; Corporate Social Responsibility and Impact; Human Capital; Supply Chain; Operations; Leadership; Corporate Accountability; Institutional Investing; Performance
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  • 12 Apr 2022
  • News

Swiping Right: How Data Helped This Online Dating Site Make More Matches

  • 23 May 2023
  • Research & Ideas

Face Value: Do Certain Physical Features Help People Get Ahead?

empirically predicted with a machine learning model, suggests work by Shunyuan Zhang, an assistant professor at Harvard Business School, and collaborators. “Our research represents the first empirical... View Details
Keywords: by Kara Baskin
  • Research Summary

Overview

Paul is primarily interested in studying explainable machine learning (ML), digital transformation, and data science operations. He works on research that explores how stakeholders within organizations can use machine learning to make better decisions. In particular,... View Details
  • 11 Apr 2023
  • Research & Ideas

Is Amazon a Retailer, a Tech Firm, or a Media Company? How AI Can Help Investors Decide

industry lines as companies increasingly bring seemingly unrelated business lines together in unconventional ways. New research by Awada, Harvard Business School Professor Suraj Srinivasan, and doctoral student Paul J. Hamilton harnesses View Details
Keywords: by Danielle Kost; Consumer Products; Real Estate; Financial Services; Retail

    Zhongming Jiang

    Zhongming Jiang is a first-year Ph.D. student in Marketing (Quantitative) at Harvard Business School. His research focuses on developing methodologies for Customer Relationship Management (CRM) that enable personalized interventions, dynamic customer... View Details

    • 11 Feb 2020
    • Sharpening Your Skills

    10 Rules Entrepreneurs Need to Know Before Adopting AI

    Although adoption of artificial intelligence (AI) and machine learning (ML) for the enterprise is still in the early days, the technology has matured enough for entrepreneurs to start gathering inspiration... View Details
    Keywords: by Rocio Wu
    • 26 Mar 2024
    • Research & Ideas

    How Humans Outshine AI in Adapting to Change

    begin a task, pivoting your perspective of where you are and what you can do as your environment changes. Artificial intelligence can’t do that yet—and the machines may have a long way to go before they can truly replicate this... View Details
    Keywords: by Rachel Layne; Technology; Information Technology

      Magie Cheng

      Mengjie (Magie) Cheng is a Ph.D. student in Marketing at Harvard Business School. She received her B.S. in Finance from Chu Kochen Honors College at Zhejiang University and M.S. in Management Science and... View Details
      • 26 Jul 2022
      • News

      Burgers with Bugs? What Happens When Restaurants Ignore Online Reviews

      • 01 Mar 2016
      • News

      Faculty Q&A: Price Check

        Shunyuan Zhang

        Shunyuan Zhang is an assistant professor in the Marketing unit at Harvard Business School. She teaches the first-year Marketing course in the MBA required curriculum.

        Professor Zhang studies the sharing economy and the marketing problems that the dynamics of... View Details

        Keywords: e-commerce industry; high technology; retailing

          Isamar Troncoso

          Isamar Troncoso is an Assistant Professor of Business Administration in the Marketing Unit at HBS. She teaches the Marketing course in the MBA required curriculum.

          Professor Troncoso studies problems related to digital marketplaces and new technologies. She... View Details

          Keywords: e-commerce industry; high technology; retailing
          • 09 Dec 2019
          • News

          Identify Great Customers from Their First Purchase

          • 16 Oct 2019
          • Research & Ideas

          Read Our Most Popular Stories of the Quarter

          What stories were readers like you diving into this summer on HBS Working Knowledge? Your interests varied dramatically, everything from how researchers use machine learning technology to predict CEO... View Details
          Keywords: by Sean Silverthorne
          • 12 May 2022
          • News

          Why Digital Is a State of Mind, Not Just a Skill Set