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Publications

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  • All HBS Web  (653)
    • News  (145)
    • Research  (425)
    • Events  (20)
    • Multimedia  (12)
  • Faculty Publications  (300)

Show Results For

  • All HBS Web  (653)
    • News  (145)
    • Research  (425)
    • Events  (20)
    • Multimedia  (12)
  • Faculty Publications  (300)
← Page 2 of 653 Results →
  • 22 Dec 2015
  • News

Algorithms Need Managers, Too

  • September–October 2021
  • 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
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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 40, no. 5 (September–October 2021): 813–820.
  • December 2023
  • Case

TikTok: The Algorithm Will See You Now

By: Shikhar Ghosh and Shweta Bagai
In a world where attention is a scarce commodity, this case explores the meteoric rise of TikTok—an app that transformed from a niche platform for teens into the most visited domain by 2021—surpassing even Google. Its algorithm was a sophisticated mechanism for... View Details
Keywords: Social Media; Applications and Software; Disruptive Innovation; Business and Government Relations; International Relations; Cybersecurity; Culture; Technology Industry; China; United States; India
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Ghosh, Shikhar, and Shweta Bagai. "TikTok: The Algorithm Will See You Now." Harvard Business School Case 824-125, December 2023.
  • 03 Feb 2020
  • Working Paper Summaries

Competition in Pricing Algorithms

Keywords: by Zach Y. Brown and Alexander MacKay
  • April 2023
  • Article

On the Privacy Risks of Algorithmic Recourse

By: Martin Pawelczyk, Himabindu Lakkaraju and Seth Neel
As predictive models are increasingly being employed to make consequential decisions, there is a growing emphasis on developing techniques that can provide algorithmic recourse to affected individuals. While such recourses can be immensely beneficial to affected... View Details
Keywords: Recourse; Privacy Threats; AI and Machine Learning; Information
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Pawelczyk, Martin, Himabindu Lakkaraju, and Seth Neel. "On the Privacy Risks of Algorithmic Recourse." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 206 (April 2023).
  • 10 Jul 2023
  • News

The Algorithms Quietly Stoking Inflation

  • 17 Oct 2016
  • News

How to Hire with Algorithms

  • March 2025
  • Teaching Note

Unintended Consequences of Algorithmic Personalization

By: Ayelet Israeli and Eva Ascarza
Teaching Note for HBS Case No. 524-052. View Details
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Israeli, Ayelet, and Eva Ascarza. "Unintended Consequences of Algorithmic Personalization." Harvard Business School Teaching Note 525-046, March 2025.
  • June 2023
  • Exercise

Experimenting with Algorithm Resume Screening

By: Michael Luca, Jesse M. Shapiro, Adrian Obleton, Evelyn Ramirez and Nathan Sun
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Luca, Michael, Jesse M. Shapiro, Adrian Obleton, Evelyn Ramirez, and Nathan Sun. "Experimenting with Algorithm Resume Screening." Harvard Business School Exercise 923-050, June 2023.
  • 02 Sep 2022
  • News

Use of Pricing Algorithms Growing

  • Article

A Collective Biological Processing Algorithm for EKG Signals

By: Mike Horia Teodorescu
We establish and explore an analogy between hunting by packs of agents and signal processing. We present a version of adaptive ‘Hunting Swarm’ algorithm (HSA), apply it to EKG signals, and investigate the influence of the model parameters on the filtering of stationary... View Details
Keywords: Artificial Intelligence; Technological Innovation; Health Care and Treatment
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Teodorescu, Mike Horia. "A Collective Biological Processing Algorithm for EKG Signals." Proceedings of the International Conference on Bio-inspired Systems and Signal Processing 4th (2011): 413–420. (IEEE BIOSIGNALS 2011.)
  • 13 May 2021
  • News

Airbnb Pricing Algorithm LED to Increased Racial Disparities, Study Finds

  • September 2020
  • Case

True North: Pioneering Analytics, Algorithms and Artificial Intelligence

By: Karim R. Lakhani, Kairavi Dey and Hannah Mayer
True North was a private equity fund that specialized in the growth and buyout of mid-market, India-centric companies. The leadership team initially believed that technology was not core to traditional businesses and steered clear of new age technology-oriented... View Details
Keywords: Artificial Intelligence; Information Technology; Management; Operations; Organizations; Leadership; Innovation and Invention; Business Model; AI and Machine Learning; Computer Industry; Technology Industry
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Lakhani, Karim R., Kairavi Dey, and Hannah Mayer. "True North: Pioneering Analytics, Algorithms and Artificial Intelligence." Harvard Business School Case 621-042, September 2020.
  • December 2024
  • Article

Public Attitudes on Performance for Algorithmic and Human Decision-Makers

By: Kirk Bansak and Elisabeth Paulson
This study explores public preferences for algorithmic and human decision-makers (DMs) in high-stakes contexts, how these preferences are shaped by performance metrics, and whether public evaluations of performance differ depending on the type of DM. Leveraging a... View Details
Keywords: Public Opinion; Prejudice and Bias; Decision Making
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Bansak, Kirk, and Elisabeth Paulson. "Public Attitudes on Performance for Algorithmic and Human Decision-Makers." PNAS Nexus 3, no. 12 (December 2024).
  • 2019
  • Working Paper

Intelligent Artificiality: Algorithmic Microfoundations for Strategic Problem Solving

By: Mihnea Moldoveanu
This paper introduces algorithmic micro-foundations for formulating and solving strategic problems. It shows how the languages and disciplines of theoretical computer science, “artificial intelligence,” and computational complexity theory can be used to devise a set of... View Details
Keywords: Problems and Challenges; Analysis; Strategy; Framework; Management Analysis, Tools, and Techniques; Mathematical Methods
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Moldoveanu, Mihnea. "Intelligent Artificiality: Algorithmic Microfoundations for Strategic Problem Solving." Harvard Business School Working Paper, No. 19-072, January 2019. (Revised February 2019.)
  • February 14, 2019
  • Other Article

We Should Treat Algorithms like Prescription Drugs

By: Andy Coravos, Irene Chen, Ankit Gordhandas and Ariel Dora Stern
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Coravos, Andy, Irene Chen, Ankit Gordhandas, and Ariel Dora Stern. "We Should Treat Algorithms like Prescription Drugs." Quartz (February 14, 2019).
  • September 29, 2023
  • Article

Eliminating Algorithmic Bias Is Just the Beginning of Equitable AI

By: Simon Friis and James Riley
When it comes to artificial intelligence and inequality, algorithmic bias rightly receives a lot of attention. But it’s just one way that AI can lead to inequitable outcomes. To truly create equitable AI, we need to consider three forces through which it might make... View Details
Keywords: AI and Machine Learning; Prejudice and Bias; Equality and Inequality
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Friis, Simon, and James Riley. "Eliminating Algorithmic Bias Is Just the Beginning of Equitable AI." Harvard Business Review (website) (September 29, 2023).
  • 10 May 2016
  • News

How To Teach Ethics To Algorithms

  • 09 Mar 2020
  • News

Warring Algorithms Could Be Driving Up Consumer Prices

  • 05 Aug 2015
  • News

Could algorithms help create a better venture capitalist?

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