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Show Results For
- All HBS Web
(954)
- People (1)
- News (156)
- Research (636)
- Events (13)
- Multimedia (3)
- Faculty Publications (542)
- 02 May 2023
- What Do You Think?
How Should Artificial Intelligence Be Regulated—if at All?
(iStockphoto/Rost-9D) Artificial intelligence (AI) is the topic of the moment in circles ranging from science to business to religion. Its potential and implications are driven home when you see robot soccer players improve their game to the point that they behave as a... View Details
- 07 Jul 2022
- HBS Case
How a Multimillion-Dollar Ice Cream Startup Melted Down (and Bounced Back)
heights of dealing with Disney, to all the troubles that befell us years later, and ultimately to the bankruptcy. It comes from chasing that star and flying too close to the sun,” recalled Smith. A machine parts company from Oregon... View Details
Keywords: by Pamela Reynolds
- Web
Faculty & Research - Business & Environment
Learning By: Michael W. Toffel and Nabig Chaudhry Artificial Intelligence (AI) and machine learning (ML) have emerged as powerful tools to address climate change. This note... View Details
- 17 Jan 2008
- Research & Ideas
If Marketing Experts Ran Elections
Maybe they have to register in advance, wait in line at the polling station, and use an out-of-date polling machine to do so. The commercial marketplace is much more convenient. Consumers can cast their votes at millions of... View Details
Keywords: by John A. Quelch
- 2024
- Working Paper
The Crowdless Future? Generative AI and Creative Problem Solving
The rapid advances in generative artificial intelligence (AI) open up attractive opportunities for creative problem-solving through human-guided AI partnerships. To explore this potential, we initiated a crowdsourcing challenge focused on sustainable, circular economy... View Details
Keywords: Large Language Models; Crowdsourcing; Generative Ai; Creative Problem-solving; Organizational Search; AI-in-the-loop; Prompt Engineering; AI and Machine Learning; Innovation and Invention
Boussioux, Léonard, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic, and Karim R. Lakhani. "The Crowdless Future? Generative AI and Creative Problem Solving." Harvard Business School Working Paper, No. 24-005, July 2023. (Revised July 2024.)
- 2024
- Working Paper
Using LLMs for Market Research
By: James Brand, Ayelet Israeli and Donald Ngwe
Large language models (LLMs) have rapidly gained popularity as labor-augmenting
tools for programming, writing, and many other processes that benefit from quick text
generation. In this paper we explore the uses and benefits of LLMs for researchers and
practitioners... View Details
Keywords: Large Language Model; Research; AI and Machine Learning; Analysis; Customers; Consumer Behavior; Technology Industry; Information Technology Industry
Brand, James, Ayelet Israeli, and Donald Ngwe. "Using LLMs for Market Research." Harvard Business School Working Paper, No. 23-062, April 2023. (Revised July 2024.)
- 29 Oct 2008
- Research & Ideas
The Next Marketing Challenge: Selling to ’Simplifiers’
sales depend on two things: the launch of new, higher-priced, higher-featured, often customized products that persuade consumers to trade in their existing appliances before they break down (think cellphones), as well as household penetration of products such as fax... View Details
- July 2021
- Article
Big Data for Social Benefits: Innovation as a Mediator of the Relationship between Big Data and Corporate Social Performance
By: Goran Calic and Maryam Ghasemaghaei
Over the last decade, the use big data in firms has seen a rapid increase. Whilst scholars have begun to unpack the relationship between big data utilisation and financial performance, significant uncertainty exists about the ethical uses of this new asset. Whether... View Details
Keywords: Analytics and Data Science; AI and Machine Learning; Performance Improvement; Organizational Change and Adaptation
Calic, Goran, and Maryam Ghasemaghaei. "Big Data for Social Benefits: Innovation as a Mediator of the Relationship between Big Data and Corporate Social Performance." Journal of Business Research 131 (July 2021): 391–401.
- 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
Lakhani, Karim R., Kairavi Dey, and Hannah Mayer. "True North: Pioneering Analytics, Algorithms and Artificial Intelligence." Harvard Business School Case 621-042, September 2020.
- Web
Profiles - MBA
spend my career solving complex problems at the cutting edge of technological innovation. Currently, I am particularly excited by challenges in AI interpretability, healthtech, and applications of machine View Details
- Web
Entrepreneurship - Faculty & Research
startup without growing headcount Redefining ‘Product-Market Fit’ for the AI Age Keywords: AI ; Founder ; Startup ; AI and Machine Learning ; Technology Adoption ; Business Startups ; Entrepreneurship ;... View Details
- Web
Organizational Behavior - Faculty & Research
Transformation ; Health Care and Treatment ; AI and Machine Learning ; Technological Innovation ; Technology Adoption ; Management Style ; Organizational Culture ; Success ; Technology Industry ; Health... View Details
Frank Nagle
Frank Nagle is an assistant professor in the Strategy Unit at Harvard Business School. Professor Nagle studies how competitors can collaborate on the creation of core technologies, while still competing on the products and services built on top of them - especially... View Details
- 21 Mar 2018
- Research & Ideas
Why Artificial Intelligence Isn't a Sure Thing to Increase Productivity
future, 50 percent of all tasks currently done by humans could be done by machine learning and artificial intelligence,” says Prithwiraj (Raj) Choudhury, assistant professor at Harvard Business School.... View Details
- 05 Dec 2023
- Research & Ideas
Are Virtual Tours Still Worth It in Real Estate? Evidence from 75,000 Home Sales
remains white-hot despite high interest rates. “Maybe it doesn't help you to get a 5 percent sales price rise by using visual tools—but it might help sellers in many other ways,” Troncoso says. Virtual reality for house hunting To parse selling behavior, the... View Details
- Web
Entrepreneurial Management - Faculty & Research
AI and Machine Learning ; Behavior ; Time Management Citation Read Now Related Dillon, Eleanor W., Sonia Jaffe, Nicole Immorlica, and Christopher T. Stanton. "Shifting Work Patterns with Generative AI." NBER... View Details
- Web
Technology & Innovation - Faculty & Research
Model ; AI and Machine Learning ; Creativity ; Innovation Strategy Citation Read Now Purchase Related De Freitas, Julian, G. Nave, and Stefano Puntoni. "Ideation with Generative AI—In Consumer Research and... View Details
- Research Summary
Overview
Professor Ferreira's research primarily focuses on how retailers can use algorithms to make better revenue management decisions, including pricing, product display, and assortment planning. In the retail industry, anticipating consumer demand is arguably one of the... View Details
- 17 Jan 2023
- In Practice
8 Trends to Watch in 2023
As 2023 begins, businesses and employees face an uncertain economy and labor market, as the twin dilemmas of inflation and interest rates weigh on forecasts. Harvard Business School faculty share the top trends that they believe will shape the workplace and markets... View Details
Keywords: by Avery Forman
- May 2022
- Article
Coins for Bombs: The Predictive Ability of On-Chain Transfers for Terrorist Attacks
By: Dan Amiram, Evgeny Lyandres and Daniel Rabetti
This study examines whether we can learn from the behavior of blockchain-based transfers to predict the financing of terrorist attacks. We exploit blockchain transaction transparency to map millions of transfers for hundreds of large on-chain service providers. The... View Details
Keywords: Blockchain; Bitcoin; Accounting; AI and Machine Learning; National Security; Governing Rules, Regulations, and Reforms
Amiram, Dan, Evgeny Lyandres, and Daniel Rabetti. "Coins for Bombs: The Predictive Ability of On-Chain Transfers for Terrorist Attacks." Journal of Accounting Research 60, no. 2 (May 2022): 427–466.