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  • March 2019
  • Case

Wattpad

By: John Deighton and Leora Kornfeld
How to run a platform to match four million writers of stories to 75 million readers? Use data science. Make money by doing deals with television and filmmakers and book publishers. The case describes the challenges of matching readers to stories and of helping writers... View Details
Keywords: Platform Businesses; Creative Industries; Publishing; Data Science; Machine Learning; Collaborative Filtering; Women And Leadership; Managing Data Scientists; Big Data; Recommender Systems; Digital Platforms; Information Technology; Intellectual Property; Analytics and Data Science; Publishing Industry; Entertainment and Recreation Industry; Canada; United States; Philippines; Viet Nam; Turkey; Indonesia; Brazil
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  • November 2020
  • Teaching Note

DayTwo: Going to Market with Gut Microbiome

By: Ayelet Israeli
Teaching Note for HBS Case No. 519-010. DayTwo is a young Israeli startup that applies research on the gut microbiome and machine learning algorithms to deliver personalized nutritional recommendations to its users in order to minimize blood sugar spikes after meals.... View Details
Keywords: Start-up Growth; Startup; Positioning; Targeting; Go To Market Strategy; B2B Vs. B2C; B2B2C; Health ＆ Wellness; AI; Machine Learning; Female Ceo; Female Protagonist; Science-based; Science And Technology Studies; Ecommerce; Applications; DTC; Direct To Consumer Marketing; US Health Care; ＂USA,＂; Innovation; Pricing; Business Growth; Segmentation; Distribution Channels; Growth and Development Strategy; Business Startups; Science-Based Business; Health; Innovation and Invention; Marketing; Information Technology; Business Growth and Maturation; E-commerce; Applications and Software; Health Industry; Technology Industry; Insurance Industry; Information Technology Industry; Food and Beverage Industry; Israel; United States
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    Paul Hamilton

    Paul studies the economic complements needed for firms to realize productivity gains from machine learning and artificial intelligence. These complements include data, human capital & skills, organizational processes, and business models. 
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      Edward McFowland III

      Edward McFowland III is an Assistant Professor in the Technology and Operations Management Unit at Harvard Business School. He teaches the first-year TOM course in the required curriculum.

      Professor McFowland’s research interests – which lie at the... View Details

      • 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
      • 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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      • 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
      • 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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      • 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
      • 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
      • 12 Apr 2022
      • Research & Ideas

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

      some estimates, with players such as Bumble, Tinder, and OKCupid vying to help people find love. While McFowland is not a dating expert, his work in machine learning and social sciences examines the efficacy... View Details
      Keywords: by Kara Baskin
      • 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
        • 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; Decision Making; Automation; Benefits; Compensation; Cost Reduction; Digital Transformation; Employment; Government; Fraud; Government Technology; Public Sector; Systems; Systems Integration; Unemployment Insurance; Waste Heat Recovery; AI and Machine Learning; Government Administration; Information Technology; Insurance; United States
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        • 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 Jul 2022
        • News

        Burgers with Bugs? What Happens When Restaurants Ignore Online Reviews

        • 01 Mar 2016
        • News

        Faculty Q&A: Price Check

        • Article

        The Pitfalls of Pricing Algorithms: Be Mindful of How They Can Hurt Your Brand

        By: Marco Bertini and Oded Koenigsberg
        More and more companies are relying on pricing algorithms to maximize profits. The use of artificial intelligence and machine learning enables real-time price adjustments based on supply and demand, competitors’ activities, delivery schedules, and so forth. But... View Details
        Keywords: Algorithmic Pricing; Dynamic Pricing; Price; Change; Information Technology; Brands and Branding; Perception; Consumer Behavior
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          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