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  • All HBS Web  (1,543)
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  • 15 May 2017
  • Sharpening Your Skills

The Promises and Limitations of Big Data

services firms are using digital information about their customers to offer them a whole new range of customized products under the category of fintech. Cities are using data from Google Street View to guide economic development. And... View Details
Keywords: by Sean Silverthorne; Financial Services; Utilities; Public Administration; Health
  • 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.
  • 2022
  • Book

The Digital Mindset: What It Really Takes to Thrive in the Age of Data, Algorithms, and AI

By: Paul Leonardi and Tsedal Neeley
The pressure to "be digital" has never been greater, but you can meet the challenge. The digital revolution is here, changing how work gets done, how industries are structured, and how people from all walks of life work, behave, and relate to each other. To thrive... View Details
Keywords: Digital; Artificial Intelligence; Big Data; Digital Transformation; Technological Innovation; Transformation; Learning; Competency and Skills
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Leonardi, Paul, and Tsedal Neeley. The Digital Mindset: What It Really Takes to Thrive in the Age of Data, Algorithms, and AI. Boston, MA: Harvard Business Review Press, 2022.
  • November 2004
  • Case

Deere & Company

By: Ray A. Goldberg and Hal Hogan
John Deere & Co. wants to improve shareholder value and provide incentives to do so. The task is difficult in a volatile agriculture and construction industry. It also wants to be more global and provide machinery that traces commodities from the field to the consumer. View Details
Keywords: Factories, Labs, and Plants; Volatility; Machinery and Machining; Multinational Firms and Management; Goods and Commodities; Goals and Objectives; Strategic Planning; Agriculture and Agribusiness Industry; Agriculture and Agribusiness Industry
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Goldberg, Ray A., and Hal Hogan. "Deere & Company." Harvard Business School Case 905-406, November 2004.
  • 27 Jun 2005
  • Research & Ideas

Asian and American Leadership Styles: How Are They Unique?

he is handing it to his two sons, while Jack Welch developed a talent machine to groom CEOs for General Electric. To a significant degree, large American firms are at a later stage of development than many Asian firms—they have passed... View Details
Keywords: by D. Quinn Mills
  • November 2023
  • Case

Copilot(s): Generative AI at Microsoft and GitHub

By: Frank Nagle, Shane Greenstein, Maria P. Roche, Nataliya Langburd Wright and Sarah Mehta
This case tells the story of Microsoft’s 2018 acquisition of GitHub and the subsequent launch of GitHub Copilot, a tool that uses generative artificial intelligence to suggest snippets of code to software developers in real time. Set in late 2021, when Copilot was... View Details
Keywords: Business Ventures; Strategy; AI and Machine Learning; Applications and Software; Product Launch; Information Technology Industry; Technology Industry; Web Services Industry; United States; California
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Nagle, Frank, Shane Greenstein, Maria P. Roche, Nataliya Langburd Wright, and Sarah Mehta. "Copilot(s): Generative AI at Microsoft and GitHub." Harvard Business School Case 624-010, November 2023.
  • April 2025
  • Case

Lisa Su and AMD (A)

By: Joshua D. Margolis, Matthew Preble and Dave Habeeb
This multimedia case study focuses on CEO Lisa Su’s turnaround and subsequent transformation of the technology company Advanced Micro Devices, Inc. (AMD). When Su accepted the top position in 2014, AMD was on the verge of collapse. Su focused the company’s culture,... View Details
Keywords: Turnaround; Artificial Intelligence; Semiconductors; Change Management; Transformation; Decision Making; Globalized Markets and Industries; Government and Politics; AI and Machine Learning; Innovation and Management; Innovation Strategy; Innovation Leadership; Leadership; Leadership Style; Leading Change; Management; Product Design; Product Development; Organizational Change and Adaptation; Organizational Culture; Organizational Design; Strategic Planning; Business and Shareholder Relations; Business and Stakeholder Relations; Research and Development; Business Strategy; Competitive Strategy; Competitive Advantage; Corporate Strategy; Semiconductor Industry; Computer Industry; United States; California; Texas
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Margolis, Joshua D., Matthew Preble, and Dave Habeeb. "Lisa Su and AMD (A)." Harvard Business School Multimedia/Video Case 425-704, April 2025.
  • July 2024
  • Article

AI, ROI, and Sales Productivity

By: Frank V. Cespedes
Artificial intelligence (AI) is now a loose term for many different things and at the peak of its hype curve. So managers hitch-their-pitch to the term in arguing for resources. But like any technology, its business value depends upon actionable use cases embraced by... View Details
Keywords: ROI; AI and Machine Learning; Sales; Investment Return
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Cespedes, Frank V. "AI, ROI, and Sales Productivity." Top Sales Magazine (July 2024), 12–13.
  • 2024
  • Working Paper

The Crowdless Future? Generative AI and Creative Problem Solving

By: Léonard Boussioux, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic and Karim R. Lakhani
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
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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.)
  • 17 May 2007
  • Working Paper Summaries

The Price of Capital: Evidence from Trade Data

Keywords: by Laura Alfaro & Faisal Z. Ahmed
  • Winter 2016
  • Article

Analytics for an Online Retailer: Demand Forecasting and Price Optimization

By: Kris J. Ferreira, Bin Hong Alex Lee and David Simchi-Levi
We present our work with an online retailer, Rue La La, as an example of how a retailer can use its wealth of data to optimize pricing decisions on a daily basis. Rue La La is in the online fashion sample sales industry, where they offer extremely limited-time... View Details
Keywords: Internet and the Web; Price; Forecasting and Prediction; Revenue; Sales; Retail Industry
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Ferreira, Kris J., Bin Hong Alex Lee, and David Simchi-Levi. "Analytics for an Online Retailer: Demand Forecasting and Price Optimization." Manufacturing & Service Operations Management 18, no. 1 (Winter 2016): 69–88.
  • August 2014 (Revised August 2015)
  • Supplement

Opening the Valve: From Software to Hardware (B)

By: Ethan Bernstein, Francesca Gino and Bradley Staats
Valve, one of the world's top video game software companies, has also become an iconic example of an organization with virtually no hierarchy. A 400-person organization, Valve's unique organizational form (described in detail in the case and accompanying employee... View Details
Keywords: Valve; Self-Managed Organizations; Organization Design; Strategy; Flat Organization; Video Games; Organization Alignment; Family Business; Steam; Steam Machine; Design; Games, Gaming, and Gambling; Human Resources; Collaborative Innovation and Invention; Technological Innovation; Leadership Style; Management Practices and Processes; Organizational Design; Organizational Structure; Organizational Culture; Organizational Change and Adaptation; Groups and Teams; Alignment; Software; Hardware; Video Game Industry; Seattle
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Bernstein, Ethan, Francesca Gino, and Bradley Staats. "Opening the Valve: From Software to Hardware (B)." Harvard Business School Supplement 415-016, August 2014. (Revised August 2015.)
  • 2021
  • Working Paper

An Empirical Study of Time Allotment and Delays in E-commerce Delivery

By: M. Balakrishnan, MoonSoo Choi and Natalie Epstein
Problem definition: We study how having more time allotted to deliver an order affects the speed of the delivery process. Furthermore, we seek to predict orders that are likely to be delayed early in the delivery process so that actions can be taken to avoid delays.... View Details
Keywords: Logistics; E-commerce; Mathematical Methods; AI and Machine Learning; Performance Productivity
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Balakrishnan, M., MoonSoo Choi, and Natalie Epstein. "An Empirical Study of Time Allotment and Delays in E-commerce Delivery." Working Paper, December 2021.
  • 06 Jun 2017
  • First Look

First Look at New Research and Ideas: June 6, 2017

recent years, a number of new and exciting tools enabled by advances in telework, machine learning, and other approaches had emerged. Hirshfeld hoped to maximize these tools’... View Details
Keywords: Sean Silverthorne
  • 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
Keywords: Generative Ai; AI and Machine Learning; Ethics; Technology Adoption
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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.
  • March 2019
  • Teaching Note

Numenta: Inventing and (or) Commercializing AI

By: David B. Yoffie
This teaching notes accompanies the Numenta case, HBS No. 716-469. The focus is how to scale a new artificial intelligence technology, how to build a platform and overcome chicken-or-the-egg problems, and how to utilize open source software and licensing. View Details
Keywords: Artificial Intelligence; Strategy; Information Technology; Technological Innovation; Commercialization; AI and Machine Learning
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Yoffie, David B. "Numenta: Inventing and (or) Commercializing AI." Harvard Business School Teaching Note 719-462, March 2019.
  • May 1987
  • Supplement

Copeland Corp.: The Focused Factory, Video

By: David A. Garvin
Introduces students to the products, shows the company's focused factories, introduces the principal managers, and describes the process the company went through in executing a major change in manufacturing strategy and philosophy. Can be used independently to... View Details
Keywords: Factories, Labs, and Plants; Change; Machinery and Machining; Product; Production; Strategy
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Garvin, David A. "Copeland Corp.: The Focused Factory, Video." Harvard Business School Video Supplement 887-527, May 1987.
  • March 2017
  • Supplement

Donna Dubinsky, Numenta and Artificial Intelligence

By: David B. Yoffie
Donna Dubinsky, CEO of Numenta, discusses her views of the future of artificial intelligence and the strategic challenges of building a new platform. View Details
Keywords: Artificial Intelligence; Strategy; Technological Change; AI and Machine Learning; Technology Industry
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Yoffie, David B. "Donna Dubinsky, Numenta and Artificial Intelligence." Harvard Business School Multimedia/Video Supplement 717-807, March 2017.
  • 2023
  • Article

Verifiable Feature Attributions: A Bridge between Post Hoc Explainability and Inherent Interpretability

By: Usha Bhalla, Suraj Srinivas and Himabindu Lakkaraju
With the increased deployment of machine learning models in various real-world applications, researchers and practitioners alike have emphasized the need for explanations of model behaviour. To this end, two broad strategies have been outlined in prior literature to... View Details
Keywords: AI and Machine Learning; Mathematical Methods
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Bhalla, Usha, Suraj Srinivas, and Himabindu Lakkaraju. "Verifiable Feature Attributions: A Bridge between Post Hoc Explainability and Inherent Interpretability." Advances in Neural Information Processing Systems (NeurIPS) (2023).
  • 22 Feb 2024
  • Research & Ideas

How to Make AI 'Forget' All the Private Data It Shouldn't Have

There’s a virtual elephant in AI’s room: It’s nearly impossible to make the technology forget. And there are an increasing number of scenarios where consumers and programmers may not only want to remove data... View Details
Keywords: by Rachel Layne; Technology; Information Technology
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