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- All HBS Web
(1,029)
- People (1)
- News (187)
- Research (619)
- Events (11)
- Multimedia (3)
- Faculty Publications (500)
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- 17 Jun 2014
- First Look
First Look: June 17
out an Industrial Internet, connecting machines and devices, collecting their data and operations, and providing services to clients based on analytics of this data and information. The case considers the implications of such an... View Details
Keywords: Sean Silverthorne
- 16 Jul 2018
- Research & Ideas
Kids of Working Moms Grow into Happy Adults
mother’s education, final results still showed that a mother’s work experience is strongly linked to her daughter’s future work performance, according to the recently published full study, Learning from Mum: Cross-National Evidence... View Details
Keywords: by Dina Gerdeman
- 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
- 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
- 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.)
- 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.
- 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
- 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
- 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
- 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
- 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.)
- 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.
- 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
- January 2023 (Revised June 2023)
- Case
Replika: Embodying AI
By: Shikhar Ghosh, Shweta Bagai and Marilyn Morgan Westner
Replika was a virtual AI companion that provided a way for people to process their emotions, build connections in a safe environment, and get through periods of loneliness. The chatbot fulfilled a user's need for a friend, romantic partner, or purely an emotional... View Details
Ghosh, Shikhar, Shweta Bagai, and Marilyn Morgan Westner. "Replika: Embodying AI." Harvard Business School Case 823-090, January 2023. (Revised June 2023.)
- 26 Sep 2023
- Book
Digital Strategy: A Handbook for Managing a Moving Target
applications, internet and mobile communications, and AI, especially when tied to machine learning and deep learning. “One of the major effects of big data on businesses is that their dependence on the... View Details
- January 2022
- Article
Artificial Intelligence, Data-Driven Learning, and the Decentralized Structure of Platform Ecosystems
By: David R. Clough and Andy Wu
Gregory, Henfridsson, Kaganer, and Kyriakou (2020) highlight the important role of data and AI as strategic resources that platforms may use to enhance user value. However, their article overlooks a significant conceptual distinction: the installed base of... View Details
Keywords: Artificial Intelligence; Data Strategy; Ecosystem; Value Capture; Digital Platforms; Analytics and Data Science; Strategy; Learning; Value Creation; AI and Machine Learning; Technology Industry; Information Technology Industry; Video Game Industry; Advertising Industry
Clough, David R., and Andy Wu. "Artificial Intelligence, Data-Driven Learning, and the Decentralized Structure of Platform Ecosystems." Academy of Management Review 47, no. 1 (January 2022): 184–189.
- January–February 2020
- Article
Competing in the Age of AI
By: Marco Iansiti and Karim R. Lakhani
Today’s markets are being reshaped by a new kind of firm—one in which artificial intelligence (AI) runs the show. This cohort includes giants like Google, Facebook, and Alibaba, and growing businesses such as Wayfair and Ocado. Every time we use their services, the... View Details
Keywords: Artificial Intelligence; Algorithms; Technological Innovation; Business Model; Competition; Competitive Strategy; AI and Machine Learning
Iansiti, Marco, and Karim R. Lakhani. "Competing in the Age of AI." Harvard Business Review 98, no. 1 (January–February 2020): 60–67.
- 17 Jan 2020
- In Practice
6 Traits That Set Top Business Leaders Apart
World on Fire. Image: Eoneren Related Reading When Your Passion Works Against You What Machine Learning Teaches Us about CEO Leadership Style How Scale Changes a Manager's Responsibilities Related reading... View Details
Keywords: by Danielle Kost
- 2024
- Working Paper
The Uneven Impact of Generative AI on Entrepreneurial Performance
By: Nicholas G. Otis, Rowan Clarke, Solène Delecourt, David Holtz and Rembrand Koning
Scalable and low-cost AI assistance has the potential to improve firm decision-making and economic performance. However, running a business involves a myriad of open-ended problems, making it difficult to know whether recent AI advances can help business owners make... View Details
Keywords: AI and Machine Learning; Performance Improvement; Small Business; Decision Choices and Conditions; Kenya
Otis, Nicholas G., Rowan Clarke, Solène Delecourt, David Holtz, and Rembrand Koning. "The Uneven Impact of Generative AI on Entrepreneurial Performance." Harvard Business School Working Paper, No. 24-042, December 2023.
- 2023
- Book
Beyond AI: ChatGPT, Web3, and the Business Landscape of Tomorrow
By: Ken Huang, Yang Wang, Feng Zhu, Xi Chen and Chunxiao Xing
This book explores the transformative potential of ChatGPT, Web3, and their impact on productivity and various industries. It delves into Generative AI (GenAI) and its representative platform ChatGPT, their synergy with Web3, and how they can revolutionize business... View Details
Huang, Ken, Yang Wang, Feng Zhu, Xi Chen, and Chunxiao Xing, eds. Beyond AI: ChatGPT, Web3, and the Business Landscape of Tomorrow. Springer, 2023.