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Working Paper

Visual Uniqueness in Peer-to-Peer Marketplaces: Machine Learning Model Development, Validation, and Application

By: Flora Feng, Charis Li and Shunyuan Zhang

Peer-to-peer (P2P) marketplaces have seen exponential growth in recent years featured by unique offerings from individual providers. Despite the perceived value of uniqueness, scalable quantification of visual uniqueness in P2P platforms like Airbnb has been largely... View Details

Keywords: Peer-to-peer Markets; Marketplace Matching; AI and Machine Learning; Demand and Consumers; Digital Platforms; Marketing

September 2023
Case

Ada: Cultivating Investors

By: Reza Satchu and Patrick Sanguineti

Mike Murchison, co-founder and CEO of Ada, has an enviable dilemma. Launched in 2016 by Murchison and his co-founder David Hariri, Ada is an AI-native company that aims to revolutionize how businesses approach customer service. The company has already attracted a buzz,... View Details

Keywords: Founder; Fundraising; Business Startups; Decisions; Entrepreneurship; Venture Capital; AI and Machine Learning; Technology Industry

October 2015 (Revised October 2016)
Case

Building Watson: Not So Elementary, My Dear! (Abridged)

By: Willy C. Shih

This case is set inside IBM Research's efforts to build a computer that can successfully take on human challengers playing the game show Jeopardy! It opens with the machine named Watson offering the incorrect answer "Toronto" to a seemingly simple question during the... View Details

Keywords: Analytics; Big Data; Business Analytics; Product Development Strategy; Machine Learning; Machine Intelligence; Artificial Intelligence; Product Development; AI and Machine Learning; Information Technology; Analytics and Data Science; Information Technology Industry; United States

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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July–August 2024
Article

Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals

By: Ta-Wei Huang and Eva Ascarza

Firms are increasingly interested in developing targeted interventions for customers with the best response, which requires identifying differences in customer sensitivity, typically through the conditional average treatment effect (CATE) estimation. In theory, to... View Details

Keywords: Long-run Targeting; Heterogeneous Treatment Effect; Statistical Surrogacy; Customer Churn; Field Experiments; Consumer Behavior; Customer Focus and Relationships; AI and Machine Learning; Marketing Strategy

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February 26, 2024
Article

Making Workplaces Safer Through Machine Learning

By: Matthew S. Johnson, David I. Levine and Michael W. Toffel

Machine learning algorithms can dramatically improve regulatory effectiveness. This short article describes the authors' scholarly work that shows how the U.S. Occupational Safety and Health Administration (OSHA) could have reduced nearly twice as many occupational... View Details

Keywords: Government Experimentation; Auditing; Inspection; Evaluation; Process Improvement; Government Administration; AI and Machine Learning; Safety; Governing Rules, Regulations, and Reforms

2023
Other Article

The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications

By: Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers and Stuart Shieber

Innovation is a major driver of economic and social development, and information about many kinds of innovation is embedded in semi-structured data from patents and patent applications. Though the impact and novelty of innovations expressed in patent data are difficult... View Details

Keywords: USPTO; Natural Language Processing; Classification; Summarization; Patent Novelty; Patent Trolls; Patent Enforceability; Patents; Innovation and Invention; Intellectual Property; AI and Machine Learning; Analytics and Data Science

May 2024
Article

The Health Risks of Generative AI-Based Wellness Apps

By: Julian De Freitas and G. Cohen

Artifcial intelligence (AI)-enabled chatbots are increasingly being used to help people manage their mental health. Chatbots for mental health and particularly ‘wellness’ applications currently exist in a regulatory ‘gray area’. Indeed, most generative AI-powered... View Details

Keywords: AI and Machine Learning; Well-being; Governing Rules, Regulations, and Reforms; Applications and Software

March 2022
Article

Winner Takes All? Tech Clusters, Population Centers, and the Spatial Transformation of U.S. Invention

By: Brad Chattergoon and William R. Kerr

U.S. invention has become increasingly concentrated around major tech centers since the 1970s, with implications for how much cities across the country share in concomitant local benefits. Is invention becoming a winner-takes-all race? We explore the rising spatial... View Details

Keywords: Clusters; Invention; Agglomeration; Artificial Intelligence; Innovation and Invention; Patents; Applications and Software; Industry Clusters; AI and Machine Learning

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31 May 2023
Research & Ideas

With Predictive Analytics, Companies Can Tap the Ultimate Opportunity: Customers’ Routines

Be Regulated—if at All? Is AI Coming for Your Job? Feedback or ideas to share? Email the Working Knowledge team at hbswk@hbs.edu. Image: iStockphoto/kate_sept2004 View Details

Keywords: by Rachel Layne; Transportation

15 Jan 2019
First Look

New Research and Ideas, January 15, 2019

that can serve as the basis for a rich classroom discussion. Purchase this case:https://hbsp.harvard.edu/product/519007-PDF-ENG Harvard Business School Case 819-062 Shield AI Shield AI’s quadcopter—with no pilot and no flight plan—could... View Details

Keywords: Dina Gerdeman

Teaching Interest

Overview

By: Mitchell B. Weiss

Public entrepreneurship, entrepreneurship, leadership, business and government, cities, artificial intelligence View Details

Keywords: Public Entrepreneurship; Leadership; Business And Government; Artificial Intelligence; Entrepreneurship; Innovation and Invention; Innovation Leadership; Collaborative Innovation and Invention; Public Sector; City; AI and Machine Learning

05 Jul 2017
What Do You Think?

Can Innovation Save Us From Ourselves?

Summing Up Do We Need to Give More Attention to the Dark Side of Innovation? Innovation may be able to help us deal with problems such as famine, pollution, and even global warming. But unless it can prove to be just as effective in combating destructive human traits... View Details

Keywords: by James Heskett; Technology

2017
Working Paper

Reinventing the American Wine Industry: Marketing Strategies and the Construction of Wine Culture

By: Ai Hisano

This working paper examines the remarkable growth of wine consumption in the United States since the 1960s. The country is now the largest wine consumer in the world, exceeding the wine-producing European countries such as France and Italy, which had long dominated... View Details

Keywords: Marketing Strategy; Industry Growth; Transformation; Perception; Food and Beverage Industry; United States

5 Sep 2013
Conference Presentation

The Color of Taste: Selling Food in Clear Packages in the Early-Twentieth-Century United States

By: Ai Hisano

This paper examines the role of color in the marketing and retailing of food products by focusing on the increasingly popular presentation of food in clear packages in the early-twentieth-century United States. In the 1910s, a candy company began using cellophane to... View Details

Keywords: Food; Product Marketing; Food and Beverage Industry

3 Apr 2014 - 5 Apr 2014
Conference Presentation

Visualizing the Taste: The Federal Policy and Corporate Enterprises of Food Color from the 1880s to the 1930s

By: Ai Hisano

2015
Conference Presentation

The Color of New Tastes: State Power, Industry, and Hegemony of Vision in Modern Food Stores in the United States, 1870s-1930s

By: Ai Hisano

Forthcoming
Article

Digital Lending and Financial Well-Being: Through the Lens of Mobile Phone Data

By: AJ Chen, Omri Even-Tov, Jung Koo Kang and Regina Wittenberg-Moerman

To mitigate information asymmetry about borrowers in developing economies, digital lenders use machine-learning algorithms and nontraditional data from borrowers’ mobile devices. Consequently, digital lenders have managed to expand access to credit for millions of... View Details

Keywords: Informal Economy; Digital Banking; Mobile Phones; Developing Countries and Economies; Mobile and Wireless Technology; AI and Machine Learning; Analytics and Data Science; Credit; Borrowing and Debt; Well-being; Banking Industry; Kenya

2019
Book

Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity

By: Karen G. Mills

Fintech, Small Business & the American Dream describes the needs of small businesses for capital and demonstrates how technology—novel data sources, artificial intelligence, machine learning—will transform the small business lending market. This market has been... View Details

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03 Jan 2017
First Look

January 3, 2017

broadly available. Publisher's link: https://www.hbs.edu/faculty/Pages/item.aspx?num=52046 October 2016 Business History Review The Rise of Synthetic Colors in the American Food Industry, 1870–1940 By: Hisano, Ai Abstract—This article... View Details

Keywords: Carmen Nobel

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