Publications

Article

Crowdsourcing City Government: Using Tournaments to Improve Inspection Accuracy

By: Edward Glaeser, Andrew Hillis, Scott Duke Kominers and Michael Luca

The proliferation of big data makes it possible to better target city services like hygiene inspections, but city governments rarely have the in-house talent needed for developing prediction algorithms. Cities could hire consultants, but a cheaper alternative is to... View Details

Keywords: User-generated Content; Operations; Tournaments; Policy-making; Machine Learning; Online Platforms; Analytics and Data Science; Mathematical Methods; City; Infrastructure; Business Processes; Government and Politics

Research Summary

Overview

By: Prithwiraj Choudhury

Prithwiraj (Raj) Choudhury is the Lumry Family Associate Professor at the Harvard Business School. He was an Assistant Professor at Wharton prior to joining Harvard. His research is focused on studying the Future of Work, especially the changing Geography of Work. In... View Details

Keywords: Geography; Mobility; Migration; Multinational; Productivity; Crucible Experiences; Machine Learning; Geographic Location; Technology Industry; India; United States; China

2024
Working Paper

Don’t Expect Juniors to Teach Senior Professionals to Use Generative AI: Emerging Technology Risks and Novice AI Risk Mitigation Tactics

By: Katherine C. Kellogg, Hila Lifshitz-Assaf, Steven Randazzo, Ethan Mollick, Fabrizio Dell'Acqua, Edward McFowland III, François Candelon and Karim R. Lakhani

The literature on communities of practice demonstrates that a proven way for senior professionals to upskill themselves in the use of new technologies that undermine existing expertise is to learn from junior professionals. It notes that juniors may be better able... View Details

Keywords: Rank and Position; Competency and Skills; Technology Adoption; Experience and Expertise

SSRN

2024
Working Paper

Climate Solutions, Transition Risk, and Stock Returns

By: Shirley Lu, Edward J. Riedl, Simon Xu and George Serafeim

Using large language models to measure firms' climate solution products and services, we find that high-climate solution firms exhibit lower stock returns and higher market valuation multiples. Their stock prices respond positively to events signaling increased demand... View Details

Keywords: Technology; Generative Ai; Large Language Models; Climate Finance; Climate Change; Innovation and Invention; Environmental Sustainability; AI and Machine Learning; Investment; Financial Markets

SSRN

28 Mar 2017
Working Paper Summaries

CEO Behavior and Firm Performance

Keywords: by Oriana Bandiera, Stephen Hansen, Andrea Pratt, and Raffaella Sadun

July 2024
Case

Knowledge-Enabled Financial Advice: Digital Transformation at Edward Jones

By: Lauren Cohen, Richard Ryffel, Grace Headinger and Sophia Pan

Edward Jones, a wealth management advisory firm that prided itself on its interpersonal connections and face-to-face interactions, was eager to augment their services with AI capabilities. Built on 1-to-1 close-knit relationships, the firm had more than 15,000 offices... View Details

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September 17, 2021
Article

AI Can Help Address Inequity—If Companies Earn Users' Trust

By: Shunyuan Zhang, Kannan Srinivasan, Param Singh and Nitin Mehta

While companies may spend a lot of time testing models before launch, many spend too little time considering how they will work in the wild. In particular, they fail to fully consider how rates of adoption can warp developers’ intent. For instance, Airbnb launched a... View Details

Keywords: Artificial Intelligence; Algorithmic Bias; Technological Innovation; Perception; Diversity; Equality and Inequality; Trust; AI and Machine Learning

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Web

Building the Road to 'Small Business Utopia' with AI and Fintech | Working Knowledge

and improve sales and marketing. Marshaling the predictive power of artificial intelligence and machine learning... View Details

22 Nov 2023
Research & Ideas

Humans vs. Machines: Untangling the Tasks AI Can (and Can't) Handle

Consulting Group employees work with AI: Humans are still needed to make that call. To operationalize AI successfully, managers must carefully select its applications, train workers in using it properly, and... View Details

Keywords: by Rachel Layne; Information Technology; Technology

February 2024
Case

ReSpo.Vision: The Kickstart of an AI Sports Revolution

By: Paul A. Gompers, Elena Corsi and Nikolina Jonsson

This case study explores the growth journey of Polish computer vision sports start-up ReSpo.Vision in an emerging entrepreneurial ecosystem. By providing 3D data and analysis to soccer clubs, ReSpo.Vision achieved significant milestones with a €1 million seed round, an... View Details

Keywords: Business Startups; Business Plan; Experience and Expertise; Talent and Talent Management; Decisions; Decision Choices and Conditions; Forecasting and Prediction; Entrepreneurship; Venture Capital; AI and Machine Learning; Analytics and Data Science; Applications and Software; Business Strategy; Sports Industry; Technology Industry; Poland; Europe

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20 Nov 2019
Research & Ideas

It's No Joke: AI Beats Humans at Making You Laugh

the Author Dina Gerdeman is senior writer at Harvard Business School Working Knowledge. [Image: Cecilie_Arcurs] Related Reading Use Artificial Intelligence to Set Sales Targets That Motivate Don't Turn Your Marketing Function Over to AI... View Details

Keywords: by Dina Gerdeman

June 20, 2023
Article

Cautious Adoption of AI Can Create Positive Company Culture

By: Joseph Pacelli and Jonas Heese

Keywords: AI and Machine Learning; Organizational Culture; Employees

Web

Harvard Business School Online Courses & Learning Platforms

strategy, and finance, and learn how to evaluate a business’s performance, prospects, and value to make strategic investment decisions that... View Details

November 2020
Teaching Note

DayTwo: Going to Market with Gut Microbiome

By: Ayelet Israeli

Teaching Note for HBS Case No. 519-010. DayTwo is a young Israeli startup that applies research on the gut microbiome and machine learning algorithms to deliver personalized nutritional recommendations to its users in order to minimize blood sugar spikes after meals.... View Details

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2021
Working Paper

Time Dependency, Data Flow, and Competitive Advantage

By: Ehsan Valavi, Joel Hestness, Marco Iansiti, Newsha Ardalani, Feng Zhu and Karim R. Lakhani

Data is fundamental to machine learning-based products and services and is considered strategic due to its externalities for businesses, governments, non-profits, and more generally for society. It is renowned that the value of organizations (businesses, government... View Details

Keywords: Economics Of AI; Value Of Data; Perishability; Time Dependency; Flow Of Data; Data Strategy; Analytics and Data Science; Value; Strategy; Competitive Advantage

SSRN

05 Nov 2024
Research & Ideas

AI Can Help Leaders Communicate, But Can't Make Employees Listen

and mistakes and abbreviations the CEO uses,” Choudhury says. “What that tells us, generally, is that at least technologically, we can create a writing bot for any one of us.” Illustrations by Ariana... View Details

Keywords: by Ben Rand; Information Technology; Technology

September 23, 2024
Article

AI Wants to Make You Less Lonely. Does It Work?

By: Julian De Freitas

Keywords: AI and Machine Learning; Well-being