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  • 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
  • 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.)
  • 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... View Details
Keywords: by Danielle Kost
  • 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.
  • 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
  • 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... View Details
Keywords: by Dan Morrell
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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.)
  • 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.
  • 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.
  • 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.
  • 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
  • November 2022 (Revised December 2024)
  • Case

Hugging Face (A): Serving AI on a Platform

By: Shane Greenstein, Daniel Yue, Sarah Gulick and Kerry Herman
It is fall 2022, and open-source AI model company Hugging Face is considering its three areas of priorities: platform development, supporting the open-source community, and pursuing cutting-edge scientific research. As it expands services for enterprise clients, which... View Details
Keywords: Community; Open-source; AI and Machine Learning; Product Development; Networks; Service Delivery; Research; Governance; Business and Stakeholder Relations; Information Industry; Technology Industry; United States
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Greenstein, Shane, Daniel Yue, Sarah Gulick, and Kerry Herman. "Hugging Face (A): Serving AI on a Platform." Harvard Business School Case 623-026, November 2022. (Revised December 2024.)
  • November 2023
  • Case

Riiid: Scaling AI Educational Services Globally

By: John Jong-Hyun Kim, Nancy Dai and Ruru Hoong
This article explores the definition and evolution of AI, its applications in education, and the role of AI, particularly in K-12 education. It discusses the founding of Riiid, an AI-driven educational technology company, and its journey in the education sector, with a... View Details
Keywords: AI and Machine Learning; Economic Sectors; Technological Innovation; Education Industry; South Korea; Asia
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Kim, John Jong-Hyun, Nancy Dai, and Ruru Hoong. "Riiid: Scaling AI Educational Services Globally." Harvard Business School Case 324-030, November 2023.
  • 09 Dec 2019
  • Research & Ideas

Identify Great Customers from Their First Purchase

Using information collected during a customer’s first purchase, a new marketing tool that leverages machine learning technology can provide firms with valuable predictions about the customer’s future... View Details
Keywords: by Kristen Senz; Retail; Service
  • 13 Nov 2019
  • Research & Ideas

Don't Turn Your Marketing Function Over to AI Just Yet

how new products or services would perform at various prices or with different characteristics. The machine learning algorithms that might power such a device are, at least for now, incapable of producing... View Details
Keywords: by Kristen Senz
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