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Show Results For
- All HBS Web
(985)
- People (1)
- News (155)
- Research (661)
- Events (13)
- Multimedia (3)
- Faculty Publications (566)
- 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.
- 01 Nov 1999
- Research & Ideas
John H. Patterson and the Sales Strategy of the National Cash Register Company, 1884 to 1922
described the register for the first time and explained how it would prevent theft and give an accurate account of the day's receipts. The goal of this stage was to schedule a demonstration of the machine in a nearby hotel where the... View Details
Keywords: by Walter A. Friedman
- 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.
- November 2024
- Case
AlphaGo (A): Birth of a New Intelligence
By: Shikhar Ghosh and Shweta Bagai
This case, the first of a three-part series, traces DeepMind's evolution from its 2010 founding through its acquisition by Google in 2014. Often referred to as the "Apollo project" of artificial intelligence, DeepMind used games as a testing ground to develop AI... View Details
Keywords: AI and Machine Learning; Technology Adoption; Games, Gaming, and Gambling; Technological Innovation; Creativity; Technology Industry; South Korea; China; United States
Ghosh, Shikhar, and Shweta Bagai. "AlphaGo (A): Birth of a New Intelligence." Harvard Business School Case 825-073, November 2024.
- 06 Sep 2022
- Research & Ideas
Does Hybrid Work Actually Work? Insights from 30,000 Emails
country’s nationwide COVID-19 lockdown. The researchers studied employee emails and attachments before and during a nine-week period using machine learning and textual analysis. They supplemented their email... View Details
Keywords: by Ben Rand
- 29 May 2018
- First Look
New Research and Ideas, May 29, 2018
incorporate these advancements to improve the way the functions work, how to incorporate machine learning and artificial intelligence that de facto improve productivity and slash costs, and what he could do... View Details
Keywords: Dina Gerdeman
- 05 May 2022
- HBS Case
College Degrees: The Job Requirement Companies Seek, but Don't Really Need
than 70 percent of Black, Latinx, and rural workers from landing jobs, even though they may have the actual skills to do the required work. Many companies rely on machine learning algorithms that... View Details
Keywords: by Jay Fitzgerald
- 26 Oct 2021
- Research & Ideas
What Companies Want Most in a CEO: A Good Listener
accounted for 29 percent. The researchers used machine learning algorithms to map the text of the job descriptions into six distinct clusters of skills: administrative, management of financial and material... View Details
Keywords: by Jay Fitzgerald
- 24 Jan 2005
- Research & Ideas
Rethinking Activity-Based Costing
machine is available to work 40 hours per week, its practical full capacity is 32 to 35 hours per week. Typically, managers would allot a lower rate—say 80 percent—to people, allowing 20 percent of their time for breaks, arrival and... View Details
Keywords: by Robert S. Kaplan & Steven R. Anderson
- Web
Business History - Faculty & Research
investment in education geographies, and a study of spiritual philanthropy in emerging markets. Multiple methodologies have been employed including coding and the application of machine learning to undertake... View Details
- February 2018 (Revised October 2019)
- Case
HubSpot and Motion AI: Chatbot-Enabled CRM
By: Jill Avery and Thomas Steenburgh
HubSpot, an inbound marketing, sales, and customer relationship management (CRM) software provider, announced that it had acquired Motion AI, a software platform that enabled companies to easily build and deploy chatbots, fueled by artificial intelligence, to interact... View Details
Keywords: CRM; Sales Management; Customer Service; Artificial Intelligence; B2B Vs. B2C; Business Marketing; SaaS; Marketing; Marketing Strategy; Brands and Branding; Customer Focus and Relationships; Sales; Salesforce Management; Technological Innovation; Applications and Software; Customer Relationship Management; AI and Machine Learning; Technology Industry; Service Industry; United States; North America
Avery, Jill, and Thomas Steenburgh. "HubSpot and Motion AI: Chatbot-Enabled CRM." Harvard Business School Case 518-067, February 2018. (Revised October 2019.)
- Web
Faculty & Researchers - Managing the Future of Work
Source Machine Learning at Google , Harvard Business School case, 2023. With Martin Wattenberg, Fernanda Viegas, Daniel Yue, and James Barnett. Copilot(s): Generative AI at Microsoft and GitHub , Harvard... View Details
- 13 Mar 2023
- Research & Ideas
What Would It Take to Unlock Microfinance's Full Potential?
sewing machine, you have to learn how to use the machine and make sure your customers are going to like the products that you’ll produce with the sewing machine. The grace period afforded people the time to... View Details
- December 2023 (Revised November 2024)
- Case
Generative AI and the Future of Work
By: Christopher Stanton, Matt Higgins, Shira Aronson and Meg Shriber
Generative AI seemed poised to reshape the world of work, including the higher-wage, white-collar jobs typically pursued by MBA graduates. Informed by the latest research, this case explores generative AI's potential impacts on work, productivity, value creation, and... View Details
Keywords: AI; Future Of Work; Labor Market; AI and Machine Learning; Labor; Value Creation; Performance Productivity; Technology Industry; United States
Stanton, Christopher, Matt Higgins, Shira Aronson, and Meg Shriber. "Generative AI and the Future of Work." Harvard Business School Case 824-130, December 2023. (Revised November 2024.)
- Profile
Joel Hurd
Coming to HBS is like Getting tossed in the fanciest washing machine on earth with the “heavy duty” and “extra spin cycle” settings selected. What is your most memorable classroom moment? I once argued very bluntly against a case... View Details
- 22 Oct 2019
- Research & Ideas
Use Artificial Intelligence to Set Sales Targets That Motivate
data, the algorithm learns to predict the outcome from the input data. Unsupervised learning. In this case, using unlabeled data, the algorithm learns the inherent structure from the input data. Either View Details
Keywords: by Michael Blanding
- 16 Apr 2001
- Research & Ideas
Breaking the Code of Change
strategy and to learn from actions taken about the effectiveness of changes made. Its focus is on the development of a high-commitment culture. Its means consist of high involvement, and consultants and incentives are relied on far less... View Details
Keywords: by Michael Beer & Nitin Nohria
- 20 Dec 2017
- Lessons from the Classroom
How to Design a Better Customer Experience
Dietz, who didn’t realize that children saw the company’s MRI scanners as cold, scary chambers of misery until he visited a hospital and saw for himself. The machines created enough fear and tears that many kids needed to be sedated. The... View Details
- November 2023
- Article
Psychological Factors Underlying Attitudes toward AI Tools
By: Julian De Freitas, Stuti Agarwal, B. Schmitt and N. Haslam
What are the psychological factors driving attitudes toward AI tools, and how can resistance to AI systems be overcome when they are beneficial? In this perspective, we first organize the main sources of resistance into five main categories: opacity, emotionlessness,... View Details
De Freitas, Julian, Stuti Agarwal, B. Schmitt, and N. Haslam. "Psychological Factors Underlying Attitudes toward AI Tools." Nature Human Behaviour 7, no. 11 (November 2023): 1845–1854.
- 09 Jan 2020
- Book
Rethinking Business Strategy in the Age of AI
2020 Harvard Business School Publishing. All rights reserved. Related Reading Don't Turn Your Marketing Function Over to AI Just Yet Will Machine Learning Make You a Better Manager? Why Artificial... View Details
Keywords: by Dina Gerdeman