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  • All HBS Web  (1,518)
    • News  (276)
    • Research  (1,053)
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Show Results For

  • All HBS Web  (1,518)
    • News  (276)
    • Research  (1,053)
    • Events  (9)
    • Multimedia  (2)
  • Faculty Publications  (408)
← Page 13 of 1,518 Results →
  • Research Summary

The Function of Outlet Stores

Outlet stores are ubiquitous in the retail environment, and many firms sell goods through outlets as well as their primary stores. Using a highly detailed data set from a major U.S. luxury fashion goods firm, Professor Ngwe is able to look at market segmentation by... View Details

  • 2013
  • Tool

Harvard Business Review's Go to Market Tools: Pricing for Profit

By: Thomas Steenburgh and Jill Avery
What price is right? Figuring out the best price for your product or service can be nerve-wracking. Your new product launch or marketing campaign's success—perhaps even your career advancement—may hinge on the price you choose. So how do you select a price that's... View Details
Keywords: Quantitative Analysis; Tools; Pricing; Profitability Analysis; Pricing Strategy; Marketing Strategy; Marketing
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Steenburgh, Thomas, and Jill Avery. Harvard Business Review's Go to Market Tools: Pricing for Profit. Tool. Harvard Business Review Press, 2013. Electronic.
  • 2023
  • Book

Beyond AI: ChatGPT, Web3, and the Business Landscape of Tomorrow

By: Ken Huang, Yang Wang, Feng Zhu, Xi Chen and Chunxiao Xing
This book explores the transformative potential of ChatGPT, Web3, and their impact on productivity and various industries. It delves into Generative AI (GenAI) and its representative platform ChatGPT, their synergy with Web3, and how they can revolutionize business... View Details
Keywords: Generative Ai; AI and Machine Learning; Ethics; Technology Adoption
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Huang, Ken, Yang Wang, Feng Zhu, Xi Chen, and Chunxiao Xing, eds. Beyond AI: ChatGPT, Web3, and the Business Landscape of Tomorrow. Springer, 2023.
  • 13 Apr 2017
  • News

Candidates already know who you're going to vote for, and it's not through surveys

  • 2025
  • Working Paper

Enhancing Treatment Effect Prediction on Privacy-Protected Data: An Honest Post-Processing Approach

By: Ta-Wei Huang and Eva Ascarza
As firms increasingly rely on customer data for personalization, concerns over privacy and regulatory compliance have grown. Local Differential Privacy (LDP) offers strong individual-level protection by injecting noise into data before collection. While... View Details
Keywords: Targeted Intervention; Conditional Average Treatment Effect Estimation; Differential Privacy; Honest Estimation; Post-processing; Analytics and Data Science; Consumer Behavior; Marketing
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Huang, Ta-Wei, and Eva Ascarza. "Enhancing Treatment Effect Prediction on Privacy-Protected Data: An Honest Post-Processing Approach." Harvard Business School Working Paper, No. 24-034, December 2023. (Revised March 2025.)
  • November 1988 (Revised July 1998)
  • Case

WaterTest Corporation

Describes the founding and subsequent growth of WaterTest, a New Hampshire firm run by a entrepreneur with little business background. Three Harvard Business School students are working on a project to help the firm refine its marketing strategy. The students collect a... View Details
Keywords: Business Startups; Customers; Entrepreneurship; Data and Data Sets; Marketing Strategy
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Roberts, Michael J., Chuck Davis, William (Bill) Haylon, and Daniel F. Riley. "WaterTest Corporation." Harvard Business School Case 389-022, November 1988. (Revised July 1998.)
  • 15 Oct 2012
  • News

Pay-as-You-Drive Insurance: Big Brother Needs a Makeover

  • 2024
  • Working Paper

Using LLMs for Market Research

By: James Brand, Ayelet Israeli and Donald Ngwe
Large language models (LLMs) have rapidly gained popularity as labor-augmenting tools for programming, writing, and many other processes that benefit from quick text generation. In this paper we explore the uses and benefits of LLMs for researchers and practitioners... View Details
Keywords: Large Language Model; Research; AI and Machine Learning; Analysis; Customers; Consumer Behavior; Technology Industry; Information Technology Industry
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Brand, James, Ayelet Israeli, and Donald Ngwe. "Using LLMs for Market Research." Harvard Business School Working Paper, No. 23-062, April 2023. (Revised July 2024.)
  • 2018
  • Working Paper

Need for Speed: The Impact of Website Performance on Online Retail

By: Santiago Gallino, Nil Karacaoglu and Antonio Moreno
The share of e-commerce sales is rapidly increasing and so are the associated losses generated by website outages and slow websites. We leverage novel retail and website performance data to investigate the impact of website performance on online sales. This question is... View Details
Keywords: Online Retail; Quasi-experiments; Abandonment; Synthetic Control; Internet and the Web; Performance; Service Operations
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Gallino, Santiago, Nil Karacaoglu, and Antonio Moreno. "Need for Speed: The Impact of Website Performance on Online Retail." Working Paper, October 2018.
  • June 2016
  • Article

Understanding Online Hotel Reviews Through Automated Text Analysis

By: Shawn Mankad, Hyunjeong "Spring" Han, Joel Goh and Srinagesh Gavirneni
Customer reviews submitted at Internet travel portals are an important yet underexplored new resource in obtaining feedback on customer experience for the hospitality industry. These data are often voluminous and unstructured, presenting analytical challenges for... View Details
Keywords: Hotel Reviews; Natural Language Processing; Information Technology; Service Operations; Accommodations Industry; Moscow
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Mankad, Shawn, Hyunjeong "Spring" Han, Joel Goh, and Srinagesh Gavirneni. "Understanding Online Hotel Reviews Through Automated Text Analysis." Service Science 8, no. 2 (June 2016): 124–138.
  • January 2014 (Revised December 2014)
  • Case

GenapSys: Business Models for the Genome

By: Richard G. Hamermesh, Joseph B. Fuller and Matthew Preble

GenapSys, a California-based startup, was soon to release a new DNA sequencer that the company's founder, Hesaam Esfandyarpour, believed was truly revolutionary. The sequencer would be substantially less expensive—potentially costing just a few thousand dollars—and... View Details

Keywords: DNA Sequencing; Life Sciences; Business Model; Innovation & Entrepreneurship; Health Care and Treatment; Genetics; Business Strategy; Biotechnology Industry; Pharmaceutical Industry; Technology Industry; Health Industry; Medical Devices and Supplies Industry; United States
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Hamermesh, Richard G., Joseph B. Fuller, and Matthew Preble. "GenapSys: Business Models for the Genome." Harvard Business School Case 814-050, January 2014. (Revised December 2014.)
  • July 2025
  • Article

On the Economic Origins of Concerns Over Women’s Chastity

By: Anke Becker
This paper studies the origins and function of customs and norms that intend to keep women from being promiscuous. Using large-scale survey data from more than 100 countries, I test the anthropological theory that a particular form of preindustrial... View Details
Keywords: Infibulation; Female Sexuality; Paternity Uncertainty; Concern About Women's Chastity; Pastoralism; Economic Anthropology; History; Gender; Social Issues; Culture
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Becker, Anke. "On the Economic Origins of Concerns Over Women’s Chastity." Review of Economic Studies 92, no. 4 (July 2025): 2303–2329.
  • 10 Sep 2019
  • News

Small-business owners have no fear of a US recession, according to one online lender

  • July–August 2013
  • Article

A Joint Model of Usage and Churn in Contractual Settings

By: Eva Ascarza and Bruce G.S. Hardie
As firms become more customer-centric, concepts such as customer equity come to the fore. Any serious attempt to quantify customer equity requires modeling techniques that can provide accurate multiperiod forecasts of customer behavior. Although a number of researchers... View Details
Keywords: Churn; Retention; Contractual Settings; Access Services; Hidden Markov Models; RFM; Latent Variable Models; Customer Value and Value Chain; Consumer Behavior
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Ascarza, Eva, and Bruce G.S. Hardie. "A Joint Model of Usage and Churn in Contractual Settings." Marketing Science 32, no. 4 (July–August 2013): 570–590.

    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
    • 10 May 2011
    • Working Paper Summaries

    The Impact of Forward-Looking Metrics on Employee Decision Making

    Keywords: by Pablo Casas-Arce, F. Asís Martínez-Jerez & V.G. Narayanan; Banking
    • 07 Dec 2015
    • HBS Seminar

    Antonio Moreno-Garcia, Assistant Professor of Managerial Economics & Decision Sciences, Kellogg School of Management, Northwestern University

    • 13 May 2024
    • Research & Ideas

    Picture This: Why Online Image Searches Drive Purchases

    “headphones,” with suggested refinements like “noise-cancelling headphones,” aided by images and text. Farronato wrote the paper with Lu Fang and Zhe Yuan of Zhejiang University; Yanyou Chen of the University of Toronto; and Yitong Wang, an employee at the Chinese... View Details
    Keywords: by Rachel Layne; Information Technology; Technology; Consumer Products; Retail
    • March 2010
    • Article

    I'll Have the Ice Cream Soon and the Vegetables Later: A Study of Online Grocery Purchases and Order Lead Time

    By: Katherine L. Milkman, Todd Rogers and Max Bazerman
    How do decisions made for tomorrow or two days in the future differ from decisions made for several days in the future? We use data from an online grocer to address this question. In general, we find that as the delay between order completion and delivery increases,... View Details
    Keywords: Time Management; Service Delivery; Internet and the Web; Decisions; Customers; Retail Industry
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    Milkman, Katherine L., Todd Rogers, and Max Bazerman. "I'll Have the Ice Cream Soon and the Vegetables Later: A Study of Online Grocery Purchases and Order Lead Time." Marketing Letters 21, no. 1 (March 2010): 17–35.
    • 30 May 2023
    • Research & Ideas

    Can AI Predict Whether Shoppers Would Pick Crest or Colgate?

    Companies have long poured time and money into surveying customers. Now, with new research showing artificial intelligence provides plenty of rich data about shopper preferences, could customer surveys... View Details
    Keywords: by Kristen Senz
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