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Publications

Filter Results: (160) Arrow Down
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  • All HBS Web  (160)
    • News  (36)
    • Research  (107)
    • Multimedia  (1)
  • Faculty Publications  (46)

Show Results For

  • All HBS Web  (160)
    • News  (36)
    • Research  (107)
    • Multimedia  (1)
  • Faculty Publications  (46)
← Page 3 of 160 Results →

    Kris Johnson Ferreira

    Kris Ferreira is the Edgerley Family Associate Professor of Business Administration in the Technology and Operations Management (TOM) Unit. She teaches the Supply Chain Management course in the MBA elective curriculum and analytics in numerous Executive Education... View Details

    Keywords: retailing
    • March 2019
    • Case

    DayTwo: Going to Market with Gut Microbiome

    By: Ayelet Israeli and David Lane
    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. After a first year of trial rollout in... View Details
    Keywords: Start-up Growth; Startup; Positioning; Targeting; Go To Market Strategy; B2B2C; B2B Vs. B2C; 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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    Israeli, Ayelet, and David Lane. "DayTwo: Going to Market with Gut Microbiome." Harvard Business School Case 519-010, March 2019.
    • 17 Sep 2021
    • News

    AI Can Help Address Inequity — If Companies Earn Users’ Trust

    • 11 May 2021
    • News

    Law Firms Are Building A.I. Expertise as Regulation Looms

    • 18 Oct 2022
    • Research & Ideas

    When Bias Creeps into AI, Managers Can Stop It by Asking the Right Questions

    algorithm generates fair outcomes. As the algorithm sorts through information to optimize its objective, BEAT detects and eliminates bias at key points in the training process. For instance, BEAT could help... View Details
    Keywords: by Rachel Layne
    • 2025
    • Working Paper

    Is Love Blind? AI-Powered Trading with Emotional Dividends

    By: De-Rong Kong and Daniel Rabetti
    We leverage the non-fungible tokens (NFTs) setting to assess the valuation of emotional dividends (LOVE), a long-standing empirical challenge in private-value markets such as art, antiques, and collectibles. Having created and validated our proxy, we use deep learning... View Details
    Keywords: NFTs; Non-fungible Tokens; AI and Machine Learning; Valuation; Financial Markets
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    Kong, De-Rong, and Daniel Rabetti. "Is Love Blind? AI-Powered Trading with Emotional Dividends." Working Paper, February 2025.

      Jeremy Yang

      Jeremy Yang is an Assistant Professor of Business Administration in the Marketing Unit at Harvard Business School. He teaches Marketing in the MBA required curriculum. He develops data products for... View Details
      Keywords: advertising; media; entertainment; information; consumer products
      • 2023
      • Working Paper

      Dynamic Pricing, Intertemporal Spillovers, and Efficiency

      By: Alexander J. MacKay, Dennis Svartbäck and Anders G. Ekholm
      Pricing technology that allows firms to rapidly adjust prices has two potential benefits. Time-varying prices can respond to high-frequency demand shocks to generate greater revenues, and they can also be used to smooth out demand to reduce costs. Using data... View Details
      Keywords: Price; Consumer Behavior; Applications and Software; Volatility
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      MacKay, Alexander J., Dennis Svartbäck, and Anders G. Ekholm. "Dynamic Pricing, Intertemporal Spillovers, and Efficiency." Harvard Business School Working Paper, No. 23-007, July 2022. (Revised December 2023.)
      • 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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      Israeli, Ayelet. "DayTwo: Going to Market with Gut Microbiome." Harvard Business School Teaching Note 521-052, November 2020.

        Front Page News: The Effect of News Positioning on Financial markets

        This paper estimates the effect of presentation of information on financial markets, using quasi-random variation in prominent "front page" positioning of news on the Bloomberg... View Details

        • Oct 2020
        • Conference Presentation

        Optimal, Truthful, and Private Securities Lending

        By: Emily Diana, Michael J. Kearns, Seth Neel and Aaron Leon Roth
        We consider a fundamental dynamic allocation problem motivated by the problem of securities lending in financial markets, the mechanism underlying the short selling of stocks. A lender would like to distribute a finite number of identical copies of some scarce resource... View Details
        Keywords: Differential Privacy; Mechanism Design; Finance; Mathematical Methods
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        Diana, Emily, Michael J. Kearns, Seth Neel, and Aaron Leon Roth. "Optimal, Truthful, and Private Securities Lending." Paper presented at the 1st Association for Computing Machinery (ACM) International Conference on AI in Finance (ICAIF), October 2020.
        • May 2018
        • Article

        Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change

        By: Edward L. Glaeser, Hyunjin Kim and Michael Luca
        Data from digital platforms have the potential to improve our understanding of gentrification and enable new measures of how neighborhoods change in close to real time. Combining data on businesses from Yelp with data on gentrification from the Census, Federal Housing... View Details
        Keywords: Forecasting Models; Simulation Methods; Regional Economic Activity: Growth, Development, Environmental Issues, And Changes; Geographic Location; Local Range; Transition; Analytics and Data Science; Measurement and Metrics; Economic Growth; Forecasting and Prediction
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        Glaeser, Edward L., Hyunjin Kim, and Michael Luca. "Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change." AEA Papers and Proceedings 108 (May 2018): 77–82.
        • 06 Oct 2015
        • First Look

        October 6, 2015

        upon the Thompson sampling algorithm used for multi-armed bandit problems by incorporating inventory constraints into the pricing decisions. Our algorithm proves to have both... View Details
        Keywords: Sean Silverthorne
        • 08 Nov 2016
        • First Look

        November 8, 2016

        in power. A mass shooting increases the number of enacted laws that loosen gun restrictions by 75% in states with Republican-controlled legislatures. We find no significant effect of mass shootings on laws enacted when there is a Democrat-controlled legislature. View Details
        Keywords: Sean Silverthorne

          Ayelet Israeli

          Ayelet Israeli is the Marvin Bower Associate Professor of Business Administration at the Harvard Business School Marketing Unit. She is the co-founder of the Customer Intelligence Lab at the Digital Data Design (D^3) Institute at Harvard Business School. She teaches... View Details
          Keywords: retailing; e-commerce industry; internet; automotive
          • 20 Aug 2013
          • First Look

          First Look: August 20

          Lakhani, and Michael E. Menietti Abstract—Tournaments are widely used in the economy to organize production and innovation. We study individual contestant-level data from 2,796 contestants in 774 software algorithm design contests with... View Details
          Keywords: Anna Secino

            Eva Ascarza

            Eva Ascarza is the Jakurski Family Associate Professor of Business Administration in the Marketing Unit.  She is the co-founder of the Customer Intelligence Lab at the D^3 institute at Harvard Business School. She teaches the Marketing core in the MBA required... View Details

            Keywords: telecommunications; e-commerce industry; entertainment; financial services; retailing
            • 11 Sep 2018
            • First Look

            New Research and Ideas, September 11, 2018

            Conference Proceedings More Amazon Effects: Online Competition and Pricing Behaviors By: Cavallo, Alberto Abstract—I study how online competition, with its shrinking margins, algorithmic View Details
            Keywords: Dina Gerdeman
            • 08 Jul 2013
            • Research & Ideas

            Everything Must Go: A Strategy for Store Liquidation

            comparison to a store that is having a sale." In fact, customer behavior in general—unpredictable under the best of circumstances—becomes even more erratic during liquidation events, he notes. For their work with Gordon Brothers Group, Craig and Raman developed a... View Details
            Keywords: by Julia Hanna; Retail
            • 28 Jul 2015
            • First Look

            First Look: July 28, 2015

            begin by analyzing restaurant reviews that are identified by Yelp's filtering algorithm as suspicious or fake-and treat these as a proxy for review fraud (an assumption we provide evidence for). We present four main findings. First,... View Details
            Keywords: Carmen Nobel
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