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  • All HBS Web  (1,154)
    • News  (240)
    • Research  (672)
    • Events  (17)
    • Multimedia  (2)
  • Faculty Publications  (238)

Show Results For

  • All HBS Web  (1,154)
    • News  (240)
    • Research  (672)
    • Events  (17)
    • Multimedia  (2)
  • Faculty Publications  (238)
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  • 2017
  • Article

Refugees Misdirected: How Information, Misinformation and Rumors Shape Refugees’ Access to Fundamental Rights

By: Melissa Carlson, Laura Jakli and Katerina Linos
The global refugee regime represents one of the few generous commitments governments offer to outsiders. Indeed, few persons fleeing armed conflict actually claim international protection upon first arriving in Europe, even though the benefits of legal protection are... View Details
Keywords: Refugees; Knowledge Dissemination; Trust; Risk and Uncertainty; Rights; Europe
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Carlson, Melissa, Laura Jakli, and Katerina Linos. "Refugees Misdirected: How Information, Misinformation and Rumors Shape Refugees’ Access to Fundamental Rights." Virginia Journal of International Law 57, no. 3 (2017): 539–574.
  • February 2000
  • Case

E2M Health Services

By: Richard M.J. Bohmer and Naomi Atkins
Outlines the growth of an innovative diabetes disease management organization from 1994-99. Having demonstrated the success of their model in managing diabetes populations in Texas and New York State, the CEO and president must decide the future strategy of the company... View Details
Keywords: Business Model; Customer Focus and Relationships; Decision Choices and Conditions; Financial Markets; Revenue; Innovation and Invention; Business or Company Management; Marketing Strategy; Internet; Health Industry
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Bohmer, Richard M.J., and Naomi Atkins. "E2M Health Services." Harvard Business School Case 600-077, February 2000.
  • October 2024
  • Article

Sampling Bias in Entrepreneurial Experiments

By: Ruiqing Cao, Rembrand Koning and Ramana Nanda
Using data from a prominent online platform for launching new digital products, we document that ‘sampling bias’—defined as the difference between a startup’s target customer base and the actual sample on which early ‘beta tests’ are conducted—has a systematic and... View Details
Keywords: Target Market; Sampling Biases; Beta Testing; Product Launch; Entrepreneurship; Gender
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Cao, Ruiqing, Rembrand Koning, and Ramana Nanda. "Sampling Bias in Entrepreneurial Experiments." Management Science 70, no. 10 (October 2024): 7283–7307.
  • February 2005 (Revised May 2005)
  • Case

Intelliseek

Intelliseek harvests, filters, and mines the content of messages posted by consumers online and on discussion boards and blogs. For any specified consumer product brand, Intelliseek measures the volume of work-of-mouth and its valence (proportion of positive and... View Details
Keywords: Internet and the Web; Information Technology; Consumer Behavior; Knowledge Management; Marketing Reference Programs; Web Services Industry
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Wathieu, Luc R., and Allan Friedman. "Intelliseek." Harvard Business School Case 505-061, February 2005. (Revised May 2005.)
  • 10 Nov 2008
  • What Do You Think?

How Much Can You Ask of Your Customers?

so that volunteers (often customers, but also others) can easily contribute content (opinions and ratings for Zagat guides), "stuff for sale" (eBay online marketplace), behavioral data (Google's... View Details
Keywords: by Jim Heskett
  • Spring 2015
  • Article

Bitcoin: Economics, Technology, and Governance

By: Rainer Böhme, Nicolas Christin, Benjamin Edelman and Tyler Moore
Bitcoin is an online communication protocol that facilitates virtual currency including electronic payments. Since its inception in 2009 by an anonymous group of developers, Bitcoin has served tens of millions of transactions with total dollar value in the billions.... View Details
Keywords: Market Platforms; Online Technology; Currency
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Böhme, Rainer, Nicolas Christin, Benjamin Edelman, and Tyler Moore. "Bitcoin: Economics, Technology, and Governance." Journal of Economic Perspectives 29, no. 2 (Spring 2015): 213–238.
  • 2009
  • Working Paper

Do Friends Influence Purchases in a Social Network?

By: Raghuram Iyengar, Sangman Han and Sunil Gupta

Social networks, such as Facebook and Myspace have witnessed a rapid growth in their membership. Some of these businesses have tried an advertising-based model with very limited success. However, these businesses have not fully explored the power of their members to... View Details

Keywords: Marketing; Network Effects; Sales; Power and Influence; Social and Collaborative Networks; Web Sites; South Korea
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Iyengar, Raghuram, Sangman Han, and Sunil Gupta. "Do Friends Influence Purchases in a Social Network?" Harvard Business School Working Paper, No. 09-123, April 2009.
  • 09 Dec 2015
  • Research Event

How Do You Predict Demand and Set Prices For Products Never Sold Before?

predict demand with prescriptive analytics to make tactical decisions?” she said to a packed audience of executives, data scientists, and scholars. “I believe the answer lies in data.” Ferreira presented field work she and colleagues... View Details
Keywords: by Carmen Nobel; Retail; Apparel & Accessories
  • July – August 2008
  • Article

Should You Invest in the Long Tail?

By: Anita Elberse
The blockbuster strategy is a time-honored approach, particularly in media and entertainment. When space is limited on store shelves and in traditional distribution channels, producers tend to focus on a few likely best sellers, hoping that one or two big hits will... View Details
Keywords: Demand and Consumers; Distribution Channels; Sales; Marketing Strategy; Online Technology; Motion Pictures and Video Industry; Music Industry; Retail Industry
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Elberse, Anita. "Should You Invest in the Long Tail?" HBS Centennial Issue Harvard Business Review 86, nos. 7/8 (July–August 2008): 88–96. (HBS Centennial Issue.)
  • 02 Aug 2016
  • First Look

August 2, 2016

attention is allocated, and how that attention is allocated. Using click-stream data for thousands of U.S. households, we assess if and how attention allocation on each dimension changed between 2008 and 2013, a time of large increases in... View Details
Keywords: Sean Silverthorne
  • 07 Aug 2009
  • What Do You Think?

Why Can’t Americans Get Health Care Right?

provided excellent comparative data of the kind that we have seen all too little in the public debate on the matter. And nearly everyone admirably avoided the political rhetoric that has clouded rational thought about a truly complex... View Details
Keywords: by Jim Heskett; Health
  • 2022
  • Working Paper

The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

By: Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu and Himabindu Lakkaraju
As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with each other, and how... View Details
Keywords: AI and Machine Learning; Analytics and Data Science; Mathematical Methods
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Krishna, Satyapriya, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu, and Himabindu Lakkaraju. "The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective." Working Paper, 2022.
  • 2022
  • Article

How Does Working from Home during COVID-19 Affect What Managers Do? Evidence from Time-Use Studies

By: Thomaz Teodorovicz, Raffaella Sadun, Andrew L. Kun and Orit Shaer
We assess how the sudden and widespread shift to working from home during the pandemic impacted how managers allocate time throughout their working day. We analyze the results from an online time-use survey with data on 1,192 knowledge workers (out of which 973 are... View Details
Keywords: Time-use; Working-from-home; COVID; Managers; Knowledge Workers; Health Pandemics; Time Management
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Teodorovicz, Thomaz, Raffaella Sadun, Andrew L. Kun, and Orit Shaer. "How Does Working from Home during COVID-19 Affect What Managers Do? Evidence from Time-Use Studies." Human-Computer Interaction 37, no. 6 (2022): 532–557.
  • 15 Mar 2016
  • First Look

March 15, 2016

Case 516-059 Ocado In 2015, U.K.–based Ocado was the world's largest pure player in the online home-delivery grocery business and was gaining a growing share of the highly competitive U.K. grocery market. Ocado had made heavy investments... View Details
  • 2023
  • Working Paper

Learning to Use: Stack Overflow and Technology Adoption

By: Daniel Jay Brown and Maria P. Roche
In this paper, we examine the potential impact of Q&A websites on the adoption of technologies. Using data from Stack Overflow – one of the most popular Q&A websites worldwide – and implementing an instrumental-variable approach, we find that users whose questions... View Details
Keywords: Technology Adoption; Knowledge Sharing
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Brown, Daniel Jay, and Maria P. Roche. "Learning to Use: Stack Overflow and Technology Adoption." Harvard Business School Working Paper, No. 24-001, July 2023.
  • 28 Jun 2007
  • Working Paper Summaries

Film Rentals and Procrastination: A Study of Intertemporal Reversals in Preferences and Intrapersonal Conflict

Keywords: by Katy Milkman, Todd Rogers & Max H. Bazerman; Entertainment & Recreation
  • April 2021 (Revised July 2021)
  • Case

StockX: The Stock Market of Things (Abridged)

By: Chiara Farronato, John J. Horton, Annelena Lobb and Julia Kelley
Founded in 2015 by Dan Gilbert, Josh Luber, and Greg Schwartz, StockX was an online platform where users could buy and sell unworn luxury and limited-edition sneakers. Sneaker resale prices often fluctuated over time based on supply and demand, creating a robust... View Details
Keywords: Markets; Auctions; Bids and Bidding; Demand and Consumers; Consumer Behavior; Analytics and Data Science; Market Design; Digital Platforms; Market Transactions; Marketplace Matching; Supply and Industry; Analysis; Price; Product Marketing; Product Launch; Apparel and Accessories Industry; Fashion Industry; North and Central America; United States; Michigan; Detroit
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Farronato, Chiara, John J. Horton, Annelena Lobb, and Julia Kelley. "StockX: The Stock Market of Things (Abridged)." Harvard Business School Case 621-107, April 2021. (Revised July 2021.)
  • 05 Apr 2011
  • First Look

First Look: April 5

those that return instantaneous results—even when those results are identical. In five experiments that simulate service experiences in the domains of online travel and online dating, we demonstrate the... View Details
Keywords: Sean Silverthorne
  • 2025
  • Working Paper

Warnings and Endorsements: Improving Human-AI Collaboration in the Presence of Outliers

By: Matthew DosSantos DiSorbo, Kris Ferreira, Maya Balakrishnan and Jordan Tong
Problem definition: While artificial intelligence (AI) algorithms may perform well on data that are representative of the training set (inliers), they may err when extrapolating on non-representative data (outliers). How can humans and algorithms work together to make... View Details
Keywords: AI and Machine Learning; Decision Choices and Conditions
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DosSantos DiSorbo, Matthew, Kris Ferreira, Maya Balakrishnan, and Jordan Tong. "Warnings and Endorsements: Improving Human-AI Collaboration in the Presence of Outliers." Working Paper, May 2025.
  • 30 Jan 2018
  • First Look

January 30, 2018

practice related to AI in developing countries. Publisher's link: https://www.hbs.edu/faculty/Pages/item.aspx?num=52296 December 2017 Journal of Advertising Research Rethinking the Profession Formerly Known as Advertising: How Data... View Details
Keywords: Sean Silverthorne
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