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  • All HBS Web  (1,621)
    • People  (3)
    • News  (450)
    • Research  (503)
    • Events  (7)
    • Multimedia  (32)
  • Faculty Publications  (155)
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  • 07 Jul 2022
  • HBS Case

How a Multimillion-Dollar Ice Cream Startup Melted Down (and Bounced Back)

online business course in how to pivot after a failed venture and through its teacher met an investor experienced with rebounds willing to provide the capital they needed—enough money to open one shop with possible expansion to three... View Details
Keywords: by Pamela Reynolds
  • 16 Apr 2007
  • Research & Ideas

Delivering the Digital Goods: iTunes vs. Peer-to-Peer

sells music titles for 99 cents each, compete with free music downloads on peer-to-peer networks? Do the two approaches to distributing digital content complement each other? What can the music industry, which aggressively fights p2p downloaders, View Details
Keywords: by Sean Silverthorne; Music
  • 25 Sep 2007
  • First Look

First Look: September 25, 2007

Obscurity: An Individual-Level Examination of 'Long Tail' Consumption Author:Anita Elberse Abstract The idea that online channels facilitate the distribution of a vast assortment of products is undisputed, but what consequence the... View Details
Keywords: Martha Lagace
  • 16 Nov 2016
  • Research & Ideas

Turning One Thousand Customers into One Million

of experimentation. Taking all these factors into account, a startup can create dozens of ads within just a few days, and learn quickly and cheaply what is most effective to attract suppliers. Uber, for instance, made extensive use of... View Details
Keywords: by Thales S. Teixeira and Michael Blanding; Retail; Transportation; Accommodations
  • 25 May 2010
  • First Look

First Look: May 25

(revised) Authors:Itai Ashlagi, Benjamin G. Edelman, and Hoan Lee Abstract We model competing auctions for online advertising, with attention to the participation costs that limit advertisers' interest in using small ad platforms. When... View Details
Keywords: Martha Lagace
  • 18 Apr 2017
  • First Look

First Look at New Ideas, April 18

March 27, 2017 Harvard Business Review How the Water Industry Learned to Embrace Data By: Cespedes, Frank V., and Amir Peleg Abstract—Most current talk about “big data” seems to assume the disintermediation or replacement of physical... View Details
Keywords: by Sean Silverthorne
  • 27 Feb 2012
  • Research & Ideas

When Researchers Cheat (Just a Little)

incentive ended up generating $4,200 for four charities; the receipts were posted online afterward for the participants to see. Almost every respondent admitted to having engaged in at least one of these practices, but it's important to... View Details
Keywords: by Katie Johnston; Education
  • 16 Feb 2024
  • Research & Ideas

As AI Upends Recruiting, Job Seekers Need a Waze App for Careers

becoming more important at all levels of the labor force as we move from a more mechanical engineering, manufacturing economy to a post-industrial society. Retaining and cultivating those skills as part of learning on the job is becoming... View Details
Keywords: by Rachel Layne; Information Technology; Technology
  • 11 Aug 2022
  • Research & Ideas

When Parents Tell Kids to ‘Work Hard,’ Do They Send the Wrong Message?

other people?" “How do all of these lessons about working hard potentially carry over to our beliefs about other people?” asks Ashley Whillans, an assistant professor at Harvard Business School, who co-authored the study. “If you are View Details
Keywords: by Michael Blanding; Education
  • 08 Mar 2021
  • In Practice

COVID Killed the Traditional Workplace. What Should Companies Do Now?

A year ago, COVID-19 forced many companies to send employees home—often with a laptop and a prayer. Now, with COVID cases subsiding and vaccinations rising, the prospect of returning to old office routines appears more possible. But will employees want to flock back to... View Details
Keywords: by Dina Gerdeman
  • 20 Jan 2015
  • First Look

First Look: January 20

and follow through on a goal and not related to impulsivity, suggesting that some children are poorer at holding the norm in mind and following through on enacting it. We discuss the implications of these results for education and programs that promote social and... View Details
Keywords: Sean Silverthorne
  • November–December 2024
  • Article

Outcome-Driven Dynamic Refugee Assignment with Allocation Balancing

By: Kirk Bansak and Elisabeth Paulson
This study proposes two new dynamic assignment algorithms to match refugees and asylum seekers to geographic localities within a host country. The first, currently implemented in a multi-year pilot in Switzerland, seeks to maximize the average predicted employment... View Details
Keywords: AI and Machine Learning; Refugees; Geographic Location; Employment
Citation
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Bansak, Kirk, and Elisabeth Paulson. "Outcome-Driven Dynamic Refugee Assignment with Allocation Balancing." Operations Research 72, no. 6 (November–December 2024): 2375–2390.
  • 07 Apr 2022
  • Research & Ideas

Giving Back: Consumers Care More About How Companies Donate Than How Much

giving campaign was manipulated, consumers continued to prefer the brand they felt gave a larger percentage of profits to those giving a larger sum of money. In that study, shoppers considering an online purchase were told that Brand X... View Details
Keywords: by Pamela Reynolds
  • 02 Sep 2015
  • What Do You Think?

What's Wrong With Amazon’s Low-Retention HR Strategy?

low-retention HR strategy, its customers probably regard it as a highly successful application of that idea.  Advocates of a high-retention strategy may wonder why Amazon hasn’t learned something from online... View Details
Keywords: by James Heskett; Web Services; Retail; Apparel & Accessories; Consumer Products; Fashion
  • 14 Aug 2018
  • First Look

First Look at New Research and Ideas, August 14, 2018

where the next left-field idea could be the next big thing. This book explores this culture of psychological safety and provides a blueprint for bringing it to life. The road is sometimes bumpy, but succinct and informative scenario-based explanations provide a clear... View Details
Keywords: by Sean Silverthorne
  • 10 Dec 2013
  • First Look

First Look: December 10

time and markets. Specifically, we build a model in which two firms that differ in their capabilities enter sequentially into two markets with different potentials for profit. The model is solved using game theory under three learning... View Details
Keywords: Sean Silverthorne
  • 24 Oct 2023
  • Research & Ideas

When Tech Platforms Identify Black-Owned Businesses, White Customers Buy

widespread discrimination on Airbnb, leading Airbnb to take steps to mitigate bias and prompting broader discussion across other companies. “Many businesses were unaware of the implications of their decisions,” says Luca, whose research on race in the View Details
Keywords: by Jay Fitzgerald; Food & Beverage
  • 21 Jun 2011
  • First Look

First Look: June 21

http://www.nber.org/confer/2009/EIf09/summary.html The Learning Effects of Monitoring Authors: Dennis Campbell, Marc Epstein, and F. Asís Martínez Jerez Publication: The Accounting Review (forthcoming) Abstract This paper investigates the... View Details
Keywords: Sean Silverthorne
  • 2025
  • Working Paper

Why Most Resist AI Companions

By: Julian De Freitas, Zeliha Oğuz-Uğuralp, Ahmet Kaan Uğuralp and Stefano Puntoni
AI companion applications—designed to serve as synthetic interaction partners—have recently become capable enough to reduce loneliness, a growing public health concern. However, behavioral research has yet to fully explain the barriers to adoption of such AI and... View Details
Keywords: Generative Ai; Chatbots; Artificial Intelligence; Algorithmic Aversion; Lonelines; Technology Adoption; AI and Machine Learning; Well-being; Emotions
Citation
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De Freitas, Julian, Zeliha Oğuz-Uğuralp, Ahmet Kaan Uğuralp, and Stefano Puntoni. "Why Most Resist AI Companions." Harvard Business School Working Paper, No. 25-030, December 2024. (Revised May 2025.)
  • 20 Nov 2019
  • Research & Ideas

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

of tests to make its own estimations. The computer had no way of parsing the language in the jokes, nor did it follow a model indicating what features made a joke funny. Instead, it relied on “collaborative filtering” algorithms to learn... View Details
Keywords: by Dina Gerdeman
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