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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
Zhang, Shunyuan, Flora Feng, and Kannan Srinivasan. "Marketing Through the Machine’s Eyes: Image Analytics and Interpretability." Chap. 8 in Artificial Intelligence in Marketing. 20, edited by Naresh K. Malhotra, K. Sudhir, and Olivier Toubia. Review of Marketing Research. Emerald Publishing Limited, forthcoming.
- 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
- 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
- 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
Cavallo, Alberto. "More Amazon Effects: Online Competition and Pricing Behaviors." Jackson Hole Economic Symposium Conference Proceedings (Federal Reserve Bank of Kansas City) (2019).
- 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
Toffel, Michael W., Dan Levy, Jose Ramon Morales Arilla, and Matthew S. Johnson. "Improving Worker Safety in the Era of Machine Learning (A)." Harvard Business School Case 618-019, October 2017. (Revised April 2018.)
- 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
Barry, Jordan M., John William Hatfield, and Scott Duke Kominers. "To Thine Own Self Be True? Incentive Problems in Personalized Law." Art. 2. William & Mary Law Review 62, no. 3 (2021).
- 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
Fisman, Ray, and Michael Luca. "Fixing Discrimination in Online Marketplaces." Harvard Business Review 94, no. 12 (November, 2016): 88–95.
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 11 Sep 2018
- First Look
New Research and Ideas, September 11, 2018
Conference Proceedings More Amazon Effects: Online Competition and Pricing Behaviors By: Cavallo, Alberto Abstract—I study how online competition, with its shrinking margins, algorithmic pricing technologies, and the View Details
Keywords: Dina Gerdeman
- 27 Jul 2019
- Op-Ed
Does Facebook's Business Model Threaten Our Elections?
platform. Advertisers used that data to create psychographic profiles of potential customers that went beyond mere demographics to give insights into what they like and value. Studies have found that with just 10 “likes” an algorithm can... View Details
Keywords: by George Riedel
- 26 Jan 2016
- First Look
January 26, 2016
non-English-speaking country and has more English-speaking analysts participating in the call. Our results highlight that when disclosure takes the form of verbal communication, language barriers between speaker and listener affect the View Details
Keywords: Sean Silverthorne