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Publications

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  • All HBS Web  (1,214)
    • Faculty Publications  (15)

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    • All HBS Web  (1,214)
      • Faculty Publications  (15)

      Pricing Algorithms Remove Pricing Algorithms →

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      Competition in Pricing Algorithms
      Competition in Pricing Algorithms
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      • Article

      Soul and Machine (Learning)

      By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Burnap Alex, Tong Guo, Dokyun (DK) Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan
      Machine learning is bringing us self-driving cars, medical diagnoses, and language translation, but how can machine learning help marketers improve marketing decisions? Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to...  View Details
      Keywords: Machine Learning; Marketing Applications; Knowledge; Technological Innovation; Core Relationships; Marketing
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      Proserpio, Davide, John R. Hauser, Xiao Liu, Tomomichi Amano, Burnap Alex, Tong Guo, Dokyun (DK) Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu, and Hema Yoganarasimhan. "Soul and Machine (Learning)." Marketing Letters 31, no. 4 (December 2020): 393–404.
      • 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; Technology; Business Growth and Maturation; 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.
      • September 2020
      • Technical Note

      Algorithmic Bias in Marketing

      By: Ayelet Israeli and Eva Ascarza
      This note focuses on algorithmic bias in marketing. First, it presents a variety of marketing examples in which algorithmic bias may occur. The examples are organized around the 4 P’s of marketing – promotion, price, place and product—characterizing the marketing...  View Details
      Keywords: Algorithmic Data; Race And Ethnicity; Promotion; "marketing Analytics"; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analysis; Data Analytics; E-commerce Strategy; E-commerce; Discrimination; Targeting; Targeted Advertising; Pricing Algorithms; Ethical Decision Making; Customer Heterogeneity; Marketing; Race; Ethnicity; Gender; Diversity; Prejudice and Bias; Marketing Communications; Data and Data Sets; Analysis; Decision Making; Ethics; Customer Relationship Management; Retail Industry; Apparel and Accessories Industry; United States
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      Israeli, Ayelet, and Eva Ascarza. "Algorithmic Bias in Marketing." Harvard Business School Technical Note 521-020, September 2020.
      • September 2020
      • Teaching Note

      Algorithmic Bias in Marketing

      By: Ayelet Israeli and Eva Ascarza
      Teaching Note for HBS No. 521-020. This note focuses on algorithmic bias in marketing. First, it presents a variety of marketing examples in which algorithmic bias may occur. The examples are organized around the 4 P’s of marketing – promotion, price, place and...  View Details
      Keywords: Marketing; Race; Ethnicity; Gender; Diversity; Prejudice and Bias; Decision Making; Ethics; Customer Relationship Management; Retail Industry; Technology Industry; Apparel and Accessories Industry; United States
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      Israeli, Ayelet, and Eva Ascarza. "Algorithmic Bias in Marketing." Harvard Business School Teaching Note 521-035, September 2020.
      • 2021
      • Working Paper

      Competition in Pricing Algorithms

      By: Zach Y. Brown and Alexander MacKay
      Increasingly, retailers have access to better pricing technology, especially in online markets. Using hourly data from five major online retailers, we show that retailers set prices at regular intervals that differ across firms. In addition, faster firms appear to use...  View Details
      Keywords: Pricing Algorithms; Pricing Frequency; Online Competition; Price; Technology; Competition
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      Brown, Zach Y., and Alexander MacKay. "Competition in Pricing Algorithms." Harvard Business School Working Paper, No. 20-067, November 2019. (Revised January 2021. Direct download.)
      • 2019
      • Article

      More Amazon Effects: Online Competition and Pricing Behaviors

      By: Alberto Cavallo
      I study how online competition, with its shrinking margins, algorithmic pricing technologies, and the transparency of the web, can change the pricing behavior of large retailers in the U.S. and affect aggregate inflation dynamics. In particular, I show that in the past...  View Details
      Keywords: Amazon; Online Prices; Inflation; Uniform Pricing; Price Stickiness; Monetary Economics; Economics; Macroeconomics; Inflation and Deflation; System Shocks; United States
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      Cavallo, Alberto. "More Amazon Effects: Online Competition and Pricing Behaviors." Jackson Hole Economic Symposium Conference Proceedings (Federal Reserve Bank of Kansas City) (2019).
      • 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; Technology; Business Growth and Maturation; 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.
      • November–December 2018
      • Article

      Online Network Revenue Management Using Thompson Sampling

      By: Kris J. Ferreira, David Simchi-Levi and He Wang
      We consider a network revenue management problem where an online retailer aims to maximize revenue from multiple products with limited inventory constraints. As common in practice, the retailer does not know the consumer's purchase probability at each price and must...  View Details
      Keywords: Online Marketing; Revenue Management; Revenue; Management; Marketing; Internet; Price; Mathematical Methods
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      Ferreira, Kris J., David Simchi-Levi, and He Wang. "Online Network Revenue Management Using Thompson Sampling." Operations Research 66, no. 6 (November–December 2018): 1586–1602.
      • 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; Data and Data Sets; 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.
      • 2016
      • Article

      Peer-to-Peer Markets

      By: Liran Einav, Chiara Farronato and Jonathan Levin
      Peer-to-peer markets such as eBay, Uber, and Airbnb allow small suppliers to compete with traditional providers of goods or services. We view the primary function of these markets as making it easy for buyers to find sellers and engage in convenient, trustworthy...  View Details
      Keywords: Peer-to-peer; Online Platforms; Matching; Innovation; Market Platforms; Marketplace Matching; Market Design; Search Technology; Technology Adoption; Network Effects; Market Entry and Exit
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      Einav, Liran, Chiara Farronato, and Jonathan Levin. "Peer-to-Peer Markets." Annual Review of Economics 8 (2016): 615–635.
      • Winter 2016
      • Article

      Analytics for an Online Retailer: Demand Forecasting and Price Optimization

      By: Kris J. Ferreira, Bin Hong Alex Lee and David Simchi-Levi
      We present our work with an online retailer, Rue La La, as an example of how a retailer can use its wealth of data to optimize pricing decisions on a daily basis. Rue La La is in the online fashion sample sales industry, where they offer extremely limited-time...  View Details
      Keywords: Online Technology; Price; Forecasting and Prediction; Revenue; Sales; Retail Industry
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      Ferreira, Kris J., Bin Hong Alex Lee, and David Simchi-Levi. "Analytics for an Online Retailer: Demand Forecasting and Price Optimization." Manufacturing & Service Operations Management 18, no. 1 (Winter 2016): 69–88.
      • Research Summary

      Overview

      By: Alexander J. MacKay
      Professor MacKay combines theory and measurement to deliver new insights about price competition. In current and published papers, his research addresses how strategic pricing decisions may be influenced by algorithms, long-term contracts, vertical restraints, and...  View Details
      Keywords: Competition; Price Effects; Competition Policy; Algorithms; Online Competition; Dynamic Pricing
      • Research Summary

      Overview

      By: Kris Johnson Ferreira
      In her research, Professor Ferreira focuses on helping e-commerce companies make more profitable revenue-management decisions. Although the overarching goal of revenue management is relatively well-defined – typically to maximize either revenue or profit – companies...  View Details
      Keywords: E-commerce; Analytics; Revenue Management; Pricing; Assortment Planning; Field Experiments; Operations; Supply Chain; Supply Chain Management; Retail Industry
      • Forthcoming
      • Article

      A Model of Multi-Pass Search: Price Search Across Stores and Time

      By: Navid Mojir and K. Sudhir
      In retail settings with price promotions, consumers often search across stores and time. However, the search literature typically only models one pass search across stores, ignoring revisits to stores; the choice literature using scanner data has modeled search across...  View Details
      Keywords: Consumer Search; Multi-pass Search; Price Search; Store Search; Spatial Search; Temporal Search; Spatiotemporal Search; Dynamic Structural Models; Mpec; Price Promotions; Store Loyalty; Consumer Behavior; Price; Spending; Marketing; Mathematical Methods
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      Mojir, Navid, and K. Sudhir. "A Model of Multi-Pass Search: Price Search Across Stores and Time." Management Science (forthcoming).
      • Forthcoming
      • Article

      Frontiers: Can an AI Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb

      By: Shunyuan Zhang, Nitin Mehta, Param Singh and Kannan Srinivasan
      We study the effect of Airbnb’s smart-pricing algorithm on the racial disparity in the daily revenue earned by Airbnb hosts. Our empirical strategy exploits Airbnb’s introduction of the algorithm and its voluntary adoption by hosts as a quasi-natural experiment. Among...  View Details
      Keywords: Smart Pricing; Pricing Algorithm; Machine Bias; Discrimination; Racial Disparity; Social Inequality; Airbnb Revenue; Revenue; Race; Equality and Inequality; Prejudice and Bias; Price; Mathematical Methods; Accommodations Industry
      Citation
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      Zhang, Shunyuan, Nitin Mehta, Param Singh, and Kannan Srinivasan. "Frontiers: Can an AI Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb." Marketing Science (forthcoming).
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