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All HBS Web
(901)
- People (1)
- News (152)
- Research (546)
- Events (10)
- Multimedia (3)
- Faculty Publications (453)
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- 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...
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Huang, Ken, Yang Wang, Feng Zhu, Xi Chen, and Chunxiao Xing, eds. Beyond AI: ChatGPT, Web3, and the Business Landscape of Tomorrow. Springer, 2023.
- 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...
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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.
- 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...
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by Danielle Kost
- 19 Dec 2023
- Research & Ideas
15 Podcast Episodes That Grabbed Listeners in 2023
president of engineering and research at Google and the founding managing director of the Google Center in Israel, explains how Google uses AI and machine learning to tackle some of the biggest challenges...
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by Danielle Kost
- 02 Jun 2022
- Research & Ideas
Blissful Thinking: When It Comes to Finding Happiness, 'Your Dreams Are Liars'
the research problem, at this point. I’m the subject and I’m the researcher. I’m like a perpetual-motion machine of happiness research.” In this conversation with the HBS Alumni Bulletin, Brooks talks about why happiness has become such a...
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by Dan Morrell
- 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...
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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.)
- 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...
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by Walter A. Friedman
- 18 Oct 2022
- Research & Ideas
When Bias Creeps into AI, Managers Can Stop It by Asking the Right Questions
algorithm perpetuates this. Another source of bias is incomplete or unrepresentative information. A famous example is facial recognition. If I use mostly photos of white men to train the machine to learn...
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by Rachel Layne
- 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...
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by Ben Rand
- 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...
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by Jay Fitzgerald
- December 2023 (Revised February 2024)
- Case
Generative AI and the Future of Work
By: Christopher Stanton and Matt Higgins
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...
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Keywords:
AI;
Future Of Work;
Labor Market;
AI and Machine Learning;
Labor;
Value Creation;
Performance Productivity;
Technology Industry;
United States
Stanton, Christopher, and Matt Higgins. "Generative AI and the Future of Work." Harvard Business School Case 824-130, December 2023. (Revised February 2024.)
- 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...
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Keywords:
Dina Gerdeman
- 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...
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by Robert S. Kaplan & Steven R. Anderson
- 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,...
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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.
- 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...
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- 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...
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by Jay Fitzgerald
- 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...
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by Michael Beer & Nitin Nohria
- July–August 2023
- Article
What Smart Companies Know About Integrating AI
By: Silvio Palumbo and David Edelman
AI has the power to gather, analyze, and utilize enormous volumes of individual customer data to achieve precision and scale in personalization. The experiences of Mercury Financial, CVS Health, and Starbucks debunk the prevailing notion that extracting value from AI...
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Keywords:
AI and Machine Learning;
Customization and Personalization;
Integration;
Technology Adoption
Palumbo, Silvio, and David Edelman. "What Smart Companies Know About Integrating AI." Harvard Business Review 101, no. 4 (July–August 2023): 116–125.
- November–December 2022
- Article
Can AI Really Help You Sell?: It Can, Depending on When and How You Implement It
By: Jim Dickie, Boris Groysberg, Benson P. Shapiro and Barry Trailer
Many salespeople today are struggling; only 57% of them make their annual quotas, surveys show. One problem is that buying processes have evolved faster than selling processes, and buyers today can access a wide range of online resources that let them evaluate products...
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Dickie, Jim, Boris Groysberg, Benson P. Shapiro, and Barry Trailer. "Can AI Really Help You Sell? It Can, Depending on When and How You Implement It." Harvard Business Review (November–December 2022): 120–129.
- September 2020
- Article
Creativity, Artificial Intelligence, and a World of Surprises
In recent years, progress has been made toward AI Creativity, which I define as the production of highly novel, yet appropriate, ideas, problem solutions, or other outputs by autonomous machines. I argue that organizational researchers of creativity and innovation...
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Keywords:
Artificial Intelligence;
AI Creativity;
Computer Science;
Organizational Behavior;
Psychology;
Creativity;
Technological Innovation;
AI and Machine Learning
Amabile, Teresa M. "Creativity, Artificial Intelligence, and a World of Surprises." Academy of Management Discoveries 6, no. 3 (September 2020): 351–354.