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  • 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
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  • 08 Oct 2020
  • Research & Ideas

Keep Your Weary Workers Engaged and Motivated

comprehend and to defend are also on opposite ends of the spectrum. Learning requires openness, the willingness to fail and lose, to move into unknown territory. This is the very opposite of the drive to defend territory and status. Both... View Details
Keywords: by Boris Groysberg and Robin Abrahams
  • Forthcoming
  • Article

Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation

By: Maya Balakrishnan, Kris Ferreira and Jordan Tong
Even if algorithms make better predictions than humans on average, humans may sometimes have private information which an algorithm does not have access to that can improve performance. How can we help humans effectively use and adjust recommendations made by... View Details
Keywords: AI and Machine Learning; Analytics and Data Science; Forecasting and Prediction; Digital Marketing
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  • 05 Dec 2018
  • Research & Ideas

Why Managers Should Reveal Their Failures

success. “If you’re highly successful, your achievements are obvious. It’s more novel and inspiring for others to learn about your mistakes,” says Harvard Business School Assistant Professor Alison Wood Brooks. “What’s exciting about this... View Details
Keywords: by Dina Gerdeman
  • 08 Jul 2014
  • First Look

First Look: July 8

simply begin with the direction you want to go and take a small step. Thinking alone will never change your life-you must ACT. Then evaluate the lessons you learn from that first step, build on them, and take another step in your desired... View Details
Keywords: Carmen Nobel
  • 05 Oct 2010
  • First Look

First Look: October 5, 2010

and market-implied yields fell, and the ability of ratings to predict default deteriorated. We offer several possible explanations for these findings that are linked to existing theories. Download the paper: http://www.hbs.edu/research/pdf/09-051.pdf The Impact of... View Details
Keywords: Sean Silverthorne
  • 01 Mar 2011
  • First Look

First Look: March 1

asymmetric equilibrium where only one retailer elects to operate an online arm but earns lower profits than its bricks-only rival. We also characterize equilibria where firms open an online channel, even... View Details
Keywords: Sean Silverthorne
  • 13 Oct 2015
  • First Look

October 13, 2015

consumer welfare if the internal content is inferior to organic search results. In this paper, we provide a legal and empirical analysis of this practice in the domain of online reviews. We first identify the conditions under which... View Details
  • 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
  • 15 Sep 2015
  • First Look

September 15, 2015

Operations Management Analytics for an Online Retailer: Demand Forecasting and Price Optimization By: Ferreira, Kris J., Bin Hong Alex Lee, and David Simchi-Levi Abstract—We present our work with an online... View Details
Keywords: Sean Silverthorne
  • 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
  • 17 Jan 2017
  • First Look

First Look at New Research: January 17

https://www.hbs.edu/faculty/Pages/item.aspx?num=52103 forthcoming Negotiation Journal Learning from Howard Raiffa: Interpersonal, Intellectual, and Institutional Nuggets By: Sebenius, James K. Abstract—Rightly known as the “father of... View Details
Keywords: Sean Silverthorne
  • 20 May 2014
  • First Look

First Look: May 20

Miami-based startup offering online English language learning services, had more than 30,000 active students across Latin America in 2012. The company had just closed a $43 million financing round in order... View Details
Keywords: Sean Silverthorne
  • February 2024 (Revised July 2024)
  • Case

Taffi: Entrepreneurship in Saudi Arabia

By: Paul A. Gompers and Fares Khrais
Taffi was a tech-enabled fashion styling startup founded by Shahad Geoffrey in Saudi Arabia in 2020. Within three years of operating, Geoffrey had pivoted the business multiple times. In 2023, Geoffrey was attempting the business’s most ambitious pivot yet, shifting... View Details
Keywords: Business Startups; Disruption; Entrepreneurship; Venture Capital; Investment; Growth and Development Strategy; Business Strategy; AI and Machine Learning; Fashion Industry; Technology Industry; Saudi Arabia; Arabian Peninsula
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  • 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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  • Research Summary

Overview

Over the last decade, technology companies like Amazon, Google, and Netflix have pioneered data-driven research and development processes centered on massive experimentation. However, as companies increase the breadth and scale of their experiments to millions of... View Details
  • 04 Apr 2023
  • What Do You Think?

How Does Remote Work Affect Innovation?

OK, so they could just as easily have seen a post from Larry Page online if they had still been working after 5 p.m. on a Friday afternoon. Working from their homes and seeing a post that simulated the bulletin board at the office, would... View Details
Keywords: by James Heskett
  • 12 Feb 2018
  • Research & Ideas

Customers at the Back of the Line Are Anxious—Can You Keep Them from Leaving?

to learn how being last affects consumer behavior. To get started, Buell and Harvard student Jay Chakraborty observed customers at a local grocery store with five checkout lanes—a total of 286 customers over a cumulative five hour span.... View Details
Keywords: by Michael Blanding; Retail; Service
  • 01 Mar 2023
  • What Do You Think?

How Much Does 'Deep Purpose' Matter to the Bottom Line?

“Hybrid work is here to stay We now communicate differently—and better—in online meetings. We learned how to use these tools more effectively because we had to during the pandemic.” Respondents didn’t stop... View Details
Keywords: by James Heskett
  • 29 Jan 2007
  • Research & Ideas

The Business Press Is a Watchdog that Bites

problems in doing research about ex-post frauds. We never know how many people did the exact same thing but because other circumstances worked out for them, it never came out. Q: You analyzed print press, but would you have different results by analyzing TV, radio,... View Details
Keywords: by Martha Lagace; Journalism & News; Publishing

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