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  • All HBS Web  (1,018)
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  • All HBS Web  (1,018)
    • People  (1)
    • News  (186)
    • Research  (659)
    • Events  (13)
    • Multimedia  (3)
  • Faculty Publications  (540)
← Page 22 of 1,018 Results →
  • 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
  • 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
  • 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
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Avery, Jill, and Thomas Steenburgh. "HubSpot and Motion AI: Chatbot-Enabled CRM." Harvard Business School Case 518-067, February 2018. (Revised October 2019.)
  • 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... View Details
Keywords: 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... View Details
Keywords: by Ben Rand
  • 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
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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.)
  • 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

in emerging markets. Multiple methodologies have been employed including coding and the application of machine learning to undertake facial and text analysis of CEM interviews. Keywords: Emerging Economies ;... 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
Keywords: Policy; Self; AI and Machine Learning; Attitudes; Technology Adoption
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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.
  • January 2025 (Revised April 2025)
  • Case

Duolingo: On a 'Streak'

By: Jeffrey F. Rayport, Nicole Tempest Keller and Nicole Luo
In December 2024, Severin Hacker, Co-Founder and Chief Technology Officer of Duolingo, reflected on the remarkable evolution of the language-learning app he helped launch in 2011. As the #1 most downloaded education app in the world, Duolingo had over 100 million... View Details
Keywords: Learning; AI and Machine Learning; Growth and Development Strategy; Motivation and Incentives; Diversification; Business Model; Market Entry and Exit; Technology Industry; Education Industry; United States
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Rayport, Jeffrey F., Nicole Tempest Keller, and Nicole Luo. "Duolingo: On a 'Streak'." Harvard Business School Case 825-097, January 2025. (Revised April 2025.)
  • 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
  • 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
  • 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
Keywords: by Jen McFarland Flint; Financial Services
  • Web

Faculty & Researchers - Managing the Future of Work

wide array of questions about computing, communication, and Internet markets. Research Open Source Machine Learning at Google , Harvard Business School case, 2023. With Martin Wattenberg, Fernanda Viegas,... View Details
  • 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
  • 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... View Details
Keywords: AI and Machine Learning; Customization and Personalization; Integration; Technology Adoption
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Palumbo, Silvio, and David Edelman. "What Smart Companies Know About Integrating AI." Harvard Business Review 101, no. 4 (July–August 2023): 116–125.
  • 03 Jan 2023
  • Book

Confront Workplace Inequity in 2023: Dig Deep, Build Bridges, Take Collective Action

The work of Timnit Gebru and Margaret Mitchell offers a high-profile example, Opie notes. Gebru, who’s Black, and Mitchell, who’s white, explored fairness in machine learning as computer scientists at... View Details
Keywords: by Pamela Reynolds
  • September 2020
  • Article

Creativity, Artificial Intelligence, and a World of Surprises

By: Teresa M. Amabile
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... View Details
Keywords: Artificial Intelligence; AI Creativity; Computer Science; Organizational Behavior; Psychology; Creativity; Technological Innovation; AI and Machine Learning
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Amabile, Teresa M. "Creativity, Artificial Intelligence, and a World of Surprises." Academy of Management Discoveries 6, no. 3 (September 2020): 351–354.
  • 12 Aug 2019
  • Research & Ideas

How Scale Changes a Manager's Responsibilities

but at this stage, if you don’t have the confidence and the right people to do things without you, it will be a rough ride. In fact, when founding CEOs don’t learn to step up into their roles and empower their leaders, investors and board... View Details
Keywords: by Julia Austin
  • 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... View Details
Keywords: Sales; AI and Machine Learning; Customers
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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 100, no. 6 (November–December 2022): 120–129.
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