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  • 2023
  • Chapter

Marketing Through the Machine’s Eyes: Image Analytics and Interpretability

By: Shunyuan Zhang, Flora Feng and Kannan Srinivasan
he growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility—if only the... View Details
Keywords: Transparency; Marketing Research; Algorithmic Bias; AI and Machine Learning; Marketing
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  • 09 Mar 2020
  • Research & Ideas

Warring Algorithms Could Be Driving Up Consumer Prices

The widespread use of pricing algorithms is reshaping the nature of competition in online markets and potentially driving up the prices of retail goods, according to recent research. These automated, price-adjusting software programs may... View Details
Keywords: by Kristen Senz; Retail
  • Research Summary

Overview

My research uses a combination of lab experiments and empirical methods to understand how organizations can design their operations in order to inspire trust. View Details
Keywords: Behavioral Operations; Human-in-the-loop; Algorithm Transparency; Corporate Social Responsibility; Operations Management
  • 2019
  • Article

More Amazon Effects: Online Competition and Pricing Behaviors

By: Alberto Cavallo
I study how online competition, with its shrinking margins, algorithmic pricing technologies, and the transparency of the web, can change the pricing behavior of large retailers in the U.S. and affect aggregate inflation dynamics. In particular, I show that in the past... View Details
Keywords: Amazon; Online Prices; Inflation; Uniform Pricing; Price Stickiness; Monetary Economics; Economics; Macroeconomics; Inflation and Deflation; System Shocks; United States
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  • October 2017 (Revised April 2018)
  • Case

Improving Worker Safety in the Era of Machine Learning (A)

By: Michael W. Toffel, Dan Levy, Jose Ramon Morales Arilla and Matthew S. Johnson
Managers make predictions all the time: How fast will my markets grow? How much inventory do I need? How intensively should I monitor my suppliers? Which potential customers will be most responsive to a particular marketing campaign? Which job candidates should I... View Details
Keywords: Machine Learning; Policy Implementation; Empirical Research; Inspection; Occupational Safety; Occupational Health; Regulation; Analysis; Forecasting and Prediction; Policy; Operations; Supply Chain Management; Safety; Manufacturing Industry; Construction Industry; United States
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  • 2021
  • Article

To Thine Own Self Be True? Incentive Problems in Personalized Law

By: Jordan M. Barry, John William Hatfield and Scott Duke Kominers
Recent years have seen an explosion of scholarship on “personalized law.” Commentators foresee a world in which regulators armed with big data and machine learning techniques determine the optimal legal rule for every regulated party, then instantaneously disseminate... View Details
Keywords: Personalized Law; Regulation; Regulatory Avoidance; Regulatory Arbitrage; Law And Economics; Law And Technology; Law And Artificial Intelligence; Futurism; Moral Hazard; Elicitation; Signaling; Privacy; Law; Governing Rules, Regulations, and Reforms; Information Technology; AI and Machine Learning
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  • November, 2016
  • Article

Fixing Discrimination in Online Marketplaces

By: Ray Fisman and Michael Luca
Online marketplaces such as eBay, Uber, and Airbnb have the potential to reduce racial, gender, and other forms of bias that affect the off-line world. And in the early days of Internet commerce, the relative anonymity of transactions did make it harder for... View Details
Keywords: Prejudice and Bias; Digital Platforms; Internet and the Web; Race; Gender
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  • 03 Jan 2017
  • First Look

January 3, 2017

Winter 2017 MIT Sloan Management Review Why Big Data Isn't Enough By: Chai, Sen, and Willy C. Shih Abstract—There is a growing belief that sophisticated algorithms can explore huge databases and find relationships independent of any... View Details
Keywords: Carmen Nobel
  • 14 Nov 2017
  • First Look

New Research and Ideas: November 14, 2017

video. These results suggest a phenomenon of desensitization or habituation of victims to crime exposure. Download working paper: https://www.hbs.edu/faculty/Pages/item.aspx?num=53446 Lifting the Veil: The Benefits of Cost Transparency By:... View Details
Keywords: Carmen Nobel
  • 12 Apr 2022
  • Research & Ideas

Swiping Right: How Data Helped This Online Dating Site Make More Matches

Their research suggests that transparency on dating sites—as simple as allowing users to see the identity and photos of those who “swiped right” to show their interest—improves engagement for both men and women. Since Match.com launched... View Details
Keywords: by Kara Baskin
  • 09 Jan 2020
  • Book

Rethinking Business Strategy in the Age of AI

more akin to an Apple, a Tesla, or a Nest, or a GoPro—where it’s a consumer product that has the foundation of sexy hardware technology and sexy software technology,” he is quoted in a book published today, Competing in the Age of AI: Strategy and Leadership When View Details
Keywords: by Dina Gerdeman
  • 24 Apr 2019
  • Research & Ideas

The 'Amazon Effect' Is Changing Online Price Competition—and the Fed Needs to Pay Attention

adjusting much more rapidly, those surging gas prices become more meaningful, he says. “They need to pay more attention to these types of aggregate shocks, even if they are transitory, because they can affect retail prices much faster than was traditionally thought.”... View Details
Keywords: by Roberta Holland; Retail
  • 28 Jul 2020
  • Research & Ideas

Racism and Digital Design: How Online Platforms Can Thwart Discrimination

inclusive design choices in a forthcoming article in the journal Marketing Intelligence Review. What follows is a condensed version: Build awareness. Digital platform builders must recognize how their design choices and algorithms can... View Details
Keywords: by Kristen Senz; Travel; Entertainment & Recreation; Service
  • Web

Health Care - Faculty & Research

Harvard University and several corporations, leaders are following a simple, two-part playbook: Demand transparency from suppliers and avoid entire classes of chemicals. Keywords: Occupational Health ; Safety Regulations ; Regulation ;... View Details
  • Web

Winners & Runners-Up | New Venture Competition

powered by advanced ML algorithms embedded with a fintech solution. Hive Health Camille Ang (MBA/MPA-ID 2022) Jiawen Tang (MBA 2023/MPA-ID 2021) Business Track Co-Winner A B2B2C digital health insurer providing simplified, affordable, &... View Details
  • 12 Oct 2022
  • Research & Ideas

When Design Enables Discrimination: Learning from Anti-Asian Bias on Airbnb

and 334,906 reviews in New York City, one of Airbnb’s major markets. Using reviews as a proxy for bookings, the researchers tracked reviews for the year before and the year after the pandemic began. They turned to NamePrism, a publicly available View Details
Keywords: by Pamela Reynolds; Technology; Travel
  • 17 Aug 2021
  • Research & Ideas

Can Autonomous Vehicles Drive with Common Sense?

kill only one. While such damned-if-you-do-damned-if-you-don’t ethical dilemmas have traditionally been the focus of public debates about AV algorithm design, they are the wrong way to look at the issue, say De Freitas and his co-authors,... View Details
Keywords: by Michael Blanding; Auto
  • Web

Organizational Behavior Awards & Honors - Faculty & Research

Data, Algorithms and AI (Harvard Business Review Press, 2022) with Paul Leonardi. Ryan L. Raffaelli : Runner-up for the 2024 Best Entrepreneurship Paper Award from the Academy of Management, Organization and Management Theory Division,... View Details
  • 08 Aug 2023
  • Research & Ideas

The Rise of Employee Analytics: Productivity Dream or Micromanagement Nightmare?

of transparency is a tricky one. For instance, some algorithms are reaching levels of complexity that are challenging to explain, and even good explanations of models can quickly become outdated. When View Details
Keywords: by Ben Rand
  • 20 Mar 2018
  • First Look

First Look at New Research and Ideas, March 20, 2018

which builds upon the Thompson sampling algorithm used for multi-armed bandit problems by incorporating inventory constraints into the model and algorithm. Our algorithm proves to have both strong... View Details
Keywords: Sean Silverthorne