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Publications

Publications

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  • All HBS Web  (171)
    • News  (42)
    • Research  (99)
    • Events  (3)
    • Multimedia  (6)
  • Faculty Publications  (83)

Show Results For

  • All HBS Web  (171)
    • News  (42)
    • Research  (99)
    • Events  (3)
    • Multimedia  (6)
  • Faculty Publications  (83)
← Page 3 of 171 Results →
  • 27 Jun 2024
  • Research & Ideas

Gen AI Marketing: How Some 'Gibberish' Code Can Give Products an Edge

engine would begin providing AI summaries of most search queries to users across the United States; Users immediately noted that the AI summaries sometimes included nonsense results. “If it’s allowing a... View Details
Keywords: by Ben Rand; Technology
  • 09 Jan 2020
  • Book

Rethinking Business Strategy in the Age of AI

difference in whether you click on it. The algorithm is trained to pick out the pictures people are more likely to click on. And AI can optimize those images to individual preferences. If I like comedies,... View Details
Keywords: by Dina Gerdeman
  • 2024
  • Book

Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity

By: Karen G. Mills
The second edition of Fintech, Small Business & the American Dream, builds on the groundbreaking 2019 book with new insights on how technology and artificial intelligence are transforming small business lending. This ambitious view covers the significance of... View Details
Keywords: Fintech; AI; AI and Machine Learning; Small Business; Economy; Technology Adoption; Credit; Financing and Loans; Analytics and Data Science
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Mills, Karen G. Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity. 2nd Edition, NY: Palgrave Macmillan, 2024.
  • Awards

John D. C. Little Award

By: Shunyuan Zhang
Nominated for the 2022 John D. C. Little Award for “Frontiers: Can an AI Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb” (Marketing Science, September–October 2021) with Nitin Mehta, Param Singh, and Kannan Srinivasan. View Details
  • 11 Oct 2024
  • Research & Ideas

How AI Could Ease the Refugee Crisis and Bring New Talent to Businesses

cultural background, to help families start new lives safely. AI significantly improves matches Algorithms seek to streamline that work. Paulson and Bansak analyzed patterns in two countries that accept... View Details
Keywords: by Ben Rand; Technology; Information Technology
  • 20 Nov 2019
  • Research & Ideas

It's No Joke: AI Beats Humans at Making You Laugh

computer-based recommendation technology to help consumers make decisions. Yeomans' findings shed light on the hurdles that AI technology will need to overcome to win over wary consumers. The team enlisted 75 pairs of people, including... View Details
Keywords: by Dina Gerdeman
  • 30 May 2024
  • Research & Ideas

Racial Bias Might Be Infecting Patient Portals. Can AI Help?

others—deeming some important enough for a physician’s review while routing others to nurses instead, according to the authors. The rise of Gen AI adds urgency Learning how to assess and prioritize inquiries will become more important as... View Details
Keywords: by Ben Rand; Health

    Accuracy Obsession: Humans Prioritize Immaterial AI Accuracy Over Their Own Compensation — Unless We Educate Them

    1. Problem definition: Accuracy isn't everything. In many contexts, high or low sensitivity is more important than overall correctness — and yet, we find that humans prefer accurate algorithms, even to their detriment. Specifically, we identify and address an... View Details
    • 12 Oct 2021
    • News

    AI Can Bring More Equity To The Workplace And Consumer Markets By Implementing These Conditions

    • January 2021 (Revised March 2021)
    • Case

    THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)

    By: Jill Avery, Ayelet Israeli and Emma von Maur
    THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details
    Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Preference Prediction; Predictive Analytics; App Development; "Marketing Analytics"; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States
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    Avery, Jill, Ayelet Israeli, and Emma von Maur. "THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)." Harvard Business School Case 521-070, January 2021. (Revised March 2021.)
    • 22 Feb 2024
    • Research & Ideas

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

    predictions about the world. And now, even though generative AI feels very different from making a simple prediction, at a technical level, that's really what it is. In order to train these predictive systems, you need lots of example... View Details
    Keywords: by Rachel Layne; Technology; Information Technology
    • 13 Nov 2019
    • Research & Ideas

    Don't Turn Your Marketing Function Over to AI Just Yet

    how new products or services would perform at various prices or with different characteristics. The machine learning algorithms that might power such a device are, at least for now, incapable of producing such promising results. But what... View Details
    Keywords: by Kristen Senz
    • October 2021 (Revised June 2022)
    • Case

    PittaRosso: Artificial Intelligence-Driven Pricing and Promotion

    By: Ayelet Israeli
    PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once... View Details
    Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; AI; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Marketing; Transformation; Decision Making; AI and Machine Learning; Retail Industry; Italy
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    Israeli, Ayelet. "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion." Harvard Business School Case 522-046, October 2021. (Revised June 2022.)
    • May 2021 (Revised February 2024)
    • Teaching Note

    THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)

    By: Ayelet Israeli and Jill Avery
    THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details
    Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Predictive Analytics; App Development; "Marketing Analytics"; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States
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    Israeli, Ayelet, and Jill Avery. "THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)." Harvard Business School Teaching Note 521-097, May 2021. (Revised February 2024.)
    • 05 Nov 2024
    • Research & Ideas

    AI Can Help Leaders Communicate, But Can't Make Employees Listen

    to replicate the unique characteristics of a specific person’s writing style, says Prithwiraj Choudhury, the Lumry Family Associate Professor of Business Administration at Harvard Business School. “We trained an algorithm to write using... View Details
    Keywords: by Ben Rand; Information Technology; Technology
    • 2023
    • Chapter

    Marketing Through the Machine’s Eyes: Image Analytics and Interpretability

    By: Shunyuan Zhang, Flora Feng and Kannan Srinivasan
    he growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility—if only the... View Details
    Keywords: Transparency; Marketing Research; Algorithmic Bias; AI and Machine Learning; Marketing
    Citation
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    Zhang, Shunyuan, Flora Feng, and Kannan Srinivasan. "Marketing Through the Machine’s Eyes: Image Analytics and Interpretability." Chap. 8 in Artificial Intelligence in Marketing. 20, edited by Naresh K. Malhotra, K. Sudhir, and Olivier Toubia, 217–238. Review of Marketing Research. Emerald Publishing Limited, 2023.
    • 03 May 2023
    • Research & Ideas

    Why Confronting Racism in AI 'Creates a Better Future for All of Us'

    people in the room to guess what prompts he had provided to the AI tool DALL-E2 to create the image. People in the audience were stumped. After about 40 seconds, Turner—a visiting fellow at HBS’s Institute for the Study of Business in... View Details
    Keywords: by Barbara DeLollis
    • Teaching Interest

    Overview

    Paul is primarily interested in teaching data science to management students through the case method. This includes technical topics (programming and statistics) as well as higher-level management issues (digital transformation, data governance, etc.) As a research... View Details
    Keywords: A/B Testing; AI; AI Algorithms; AI Creativity; Algorithm; Algorithm Bias; Algorithmic Bias; Algorithmic Fairness; Algorithms; Analytics; Application Program Interface; Artificial Intelligence; Causality; Causal Inference; Computing; Computers; Data Analysis; Data Analytics; Data Architecture; Data As A Service; Data Centers; Data Governance; Data Labeling; Data Management; Data Manipulation; Data Mining; Data Ownership; Data Privacy; Data Protection; Data Science; Data Science And Analytics Management; Data Scientists; Data Security; Data Sharing; Data Strategy; Data Visualization; Database; Data-driven Decision-making; Data-driven Management; Data-driven Operations; Datathon; Economics Of AI; Economics Of Innovation; Economics Of Information System; Economics Of Science; Forecast; Forecast Accuracy; Forecasting; Forecasting And Prediction; Information Technology; Machine Learning; Machine Learning Models; Prediction; Prediction Error; Predictive Analytics; Predictive Models; Analysis; AI and Machine Learning; Analytics and Data Science; Applications and Software; Digital Transformation; Information Management; Digital Strategy; Technology Adoption
    • 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
    Citation
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    Ghosh, Shikhar, and Shweta Bagai. "MiDAS: Automating Unemployment Benefits." Harvard Business School Case 825-100, November 2024. (Revised January 2025.)
    • January 2024 (Revised February 2024)
    • Case

    Data-Driven Denim: Financial Forecasting at Levi Strauss

    By: Mark Egan
    The case examines Levi Strauss’ journey in implementing machine learning and AI into its financial forecasting process. The apparel company partnered with the IT company Wipro in 2017 to develop a machine learning algorithm that could help Levi Strauss forecast its... View Details
    Keywords: Investor Relations; Forecasting; Machine Learning; Artificial Intelligence; Apparel; Corporate Finance; Forecasting and Prediction; AI and Machine Learning; Digital Transformation; Apparel and Accessories Industry; United States
    Citation
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    Egan, Mark. "Data-Driven Denim: Financial Forecasting at Levi Strauss." Harvard Business School Case 224-029, January 2024. (Revised February 2024.)
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