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  • All HBS Web  (1,540)
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  • October 31, 2022
  • Article

Achieving Individual—and Organizational—Value with AI

By: Sam Ransbotham, David Kiron, François Candelon, Shervin Khodabandeh and Michael Chu
New research shows that employees derive individual value from AI when using the technology improves their sense of competency, autonomy, and relatedness. Likewise, organizations are far more likely to obtain value from AI when their workers do. This report offers key... View Details
Keywords: AI and Machine Learning; Value; Competency and Skills
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Ransbotham, Sam, David Kiron, François Candelon, Shervin Khodabandeh, and Michael Chu. "Achieving Individual—and Organizational—Value with AI." MIT Sloan Management Review, Big Ideas Artificial Intelligence and Business Strategy Initiative (website) (October 31, 2022). (Findings from the 2022 Artificial Intelligence and Business Strategy Global Executive Study and Research Project.)
  • June 2024 (Revised September 2024)
  • Case

Driving Scale with Otto

By: Rebecca Karp, David Allen and Annelena Lobb
This case asks how startup founders make scaling decisions in light of their priorities for their business and for themselves. Otto was a technology company that applied artificial intelligence technology to sales. It deployed natural language processing to find sales... View Details
Keywords: Artificial Intelligence; Natural Language Processing; B2B; B2B Innovation; Scaling; Scaling Tech Ventures; Business Startups; AI and Machine Learning; Finance; Sales; Business Strategy; Growth and Development Strategy; Entrepreneurship; Information Technology Industry; United States; Cambridge; New York (city, NY); Spain
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Karp, Rebecca, David Allen, and Annelena Lobb. "Driving Scale with Otto." Harvard Business School Case 724-407, June 2024. (Revised September 2024.)
  • January 2024 (Revised February 2024)
  • Case

OpenAI: Idealism Meets Capitalism

By: Shikhar Ghosh and Shweta Bagai
In November 2023, the board of OpenAI, one of the most successful companies in the history of technology, decided to fire Sam Altman, its charismatic and influential CEO. Their decision shocked the corporate world and had people wondering why OpenAI had designed a... View Details
Keywords: AI; AI and Machine Learning; Governing and Advisory Boards; Ethics; Strategy; Technological Innovation; Leadership
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Ghosh, Shikhar, and Shweta Bagai. "OpenAI: Idealism Meets Capitalism." Harvard Business School Case 824-134, January 2024. (Revised February 2024.)
  • July 2024 (Revised January 2025)
  • Case

Dynamic Pricing at Wendy's: Where's the Beef?

By: Elie Ofek, Alicia Dadlani and Martha Hostetter
In early 2024, Wendy’s new CEO announced on an earnings call that the company would install digital menus in its US locations so it could begin testing dynamic pricing—changing prices up or down in response to shifts in supply and demand – as well as allow engaging in... View Details
Keywords: Dynamic Pricing; Marketing Strategy; Price; Technology Adoption; Consumer Behavior; AI and Machine Learning; Customer Focus and Relationships; Policy; Food and Beverage Industry
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Ofek, Elie, Alicia Dadlani, and Martha Hostetter. "Dynamic Pricing at Wendy's: Where's the Beef?" Harvard Business School Case 525-010, July 2024. (Revised January 2025.)
  • June 2017
  • Teaching Note

IBM Transforming, 2012–2016: Ginni Rometty Steers Watson

By: Rosabeth Moss Kanter and Jonathan Cohen
Ginni Rometty, who became IBM CEO in 2012, led efforts to transform the company around cognitive computing and the AI platform Watson. This Teaching Note helps instructors understand and teach the Harvard Business School case “IBM Transforming, 2012–2016: Ginni Rometty... View Details
Keywords: Digital; Technological Change; Artificial Intelligence; Data; IBM; Watson; Internet Of Things; Innovation and Invention; Management; Sales; Information Technology; Technological Innovation; Transformation; AI and Machine Learning
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Kanter, Rosabeth Moss, and Jonathan Cohen. "IBM Transforming, 2012–2016: Ginni Rometty Steers Watson." Harvard Business School Teaching Note 317-126, June 2017.
  • 29 Sep 2020
  • Blog Post

New Life for Old Tech: Startup Provides Network Security Solutions for Obsolete Devices

device-specific representation of each device on the network, and our generalizable machine learning approach and software-based installation allows us to scale to all legacy... View Details
  • 06 May 2015
  • What Do You Think?

Are You Ready for Personalized Predictive Analytics?

Summing Up Personal Predictive Analytics: Should We Be Careful What We Wish For? The world of continuous monitoring of numerous sensors for machines and humans, limitless information storage capacity, View Details
Keywords: by James Heskett
  • 2025
  • Working Paper

The Impact of Input Inaccuracy on Leveraging AI Tools: Evidence from Algorithmic Labor Scheduling

By: Caleb Kwon, Antonio Moreno and Ananth Raman
Problem Definition: Considerable academic and practitioner attention is placed on the value of ex-post interactions (i.e., overrides) in the human-AI interface. In contrast, relatively little attention has been paid to ex-ante human-AI interactions (e.g., the... View Details
Keywords: AI and Machine Learning; Employees; Performance Effectiveness
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Kwon, Caleb, Antonio Moreno, and Ananth Raman. "The Impact of Input Inaccuracy on Leveraging AI Tools: Evidence from Algorithmic Labor Scheduling." Working Paper, January 2025.
  • January 2018 (Revised March 2019)
  • Case

Autonomous Vehicles: The Rubber Hits the Road...but When?

By: William Kerr, Allison Ciechanover, Jeff Huizinga and James Palano
The rise of autonomous vehicles has enormous implications for business and society. Despite the many headlines and significant investment in the technology by early 2019, it was still unclear when truly autonomous vehicles would be a commercial reality. Students will... View Details
Keywords: Technology Management; Artificial Intelligence; General Management; Robotics; Technological Innovation; Transportation; Disruption; Information Technology; Decision Making; AI and Machine Learning; Auto Industry; Technology Industry
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Kerr, William, Allison Ciechanover, Jeff Huizinga, and James Palano. "Autonomous Vehicles: The Rubber Hits the Road...but When?" Harvard Business School Case 818-088, January 2018. (Revised March 2019.)

    Cedric H. Rieman

    Rieman posted ten consecutive years of top level financial performance as head of Gardner-Denver. Under his leadership, Gardner-Denver expanded its base of industrial machinery customers and doubled both... View Details
    Keywords: Fabricated Goods
    • March 27, 2025
    • Article

    How One Company Used AI to Broaden Its Customer Base

    By: Sunil Gupta and Frank V. Cespedes
    The software company SAP successfully leveraged AI tools to begin selling to the small and medium enterprises (SMEs) market, which had previously been uneconomical for its in-person sales approach. By mapping the customer journey and deploying over 40 AI tools, SAP... View Details
    Keywords: AI and Machine Learning; Sales; Business Strategy; Market Entry and Exit
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    Gupta, Sunil, and Frank V. Cespedes. "How One Company Used AI to Broaden Its Customer Base." Harvard Business Review (website) (March 27, 2025).
    • Forthcoming
    • Article

    Comparing the Value of Perceived Human Versus AI-Generated Empathy

    By: Matan Rubin, Joanna Z. Li, Federico Zimmerman, Desmond C. Ong, Amit Goldenberg and Anat Perry
    Artificial intelligence (AI) and specifically large language models demonstrate remarkable social–emotional abilities, which may improve human–AI interactions and AI’s emotional support capabilities. However, it remains unclear whether empathy, encompassing... View Details
    Keywords: AI and Machine Learning; Emotions; Perception; Interpersonal Communication
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    Rubin, Matan, Joanna Z. Li, Federico Zimmerman, Desmond C. Ong, Amit Goldenberg, and Anat Perry. "Comparing the Value of Perceived Human Versus AI-Generated Empathy." Nature Human Behaviour (forthcoming). (Pre-published online June 30, 2025.)
    • January 2025
    • Case

    Moderna: Democratizing Artificial Intelligence

    By: Iavor I. Bojinov, Karim R. Lakhani, Annika Hildebrandt and James Weber
    The case study examines Moderna's journey in democratizing artificial intelligence (AI), particularly generative AI, across its workforce. It details the company's "digital-first, AI-focused" approach, including the rollout of OpenAI's ChatGPT Enterprise to all... View Details
    Keywords: AI and Machine Learning; Technology Adoption; Innovation Strategy; Governance Controls; Biotechnology Industry
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    Bojinov, Iavor I., Karim R. Lakhani, Annika Hildebrandt, and James Weber. "Moderna: Democratizing Artificial Intelligence." Harvard Business School Case 625-070, January 2025.
    • November 2024
    • Supplement

    AlphaGo (B): Birth of a New Intelligence

    By: Shikhar Ghosh and Shweta Bagai
    This case, the second in a three-part series, explores DeepMind's evolution from developing game-specific AI to more generalized learning systems. Following AlphaGo's 2017 victory over the Go world champion, DeepMind introduced two revolutionary systems that eliminated... View Details
    Keywords: AI and Machine Learning; Games, Gaming, and Gambling; Technological Innovation; Disruptive Innovation; Innovation Leadership; Information Technology Industry; United States; Russia; China
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    Ghosh, Shikhar, and Shweta Bagai. "AlphaGo (B): Birth of a New Intelligence." Harvard Business School Supplement 825-074, November 2024.
    • September 29, 2023
    • Article

    Eliminating Algorithmic Bias Is Just the Beginning of Equitable AI

    By: Simon Friis and James Riley
    When it comes to artificial intelligence and inequality, algorithmic bias rightly receives a lot of attention. But it’s just one way that AI can lead to inequitable outcomes. To truly create equitable AI, we need to consider three forces through which it might make... View Details
    Keywords: AI and Machine Learning; Prejudice and Bias; Equality and Inequality
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    Friis, Simon, and James Riley. "Eliminating Algorithmic Bias Is Just the Beginning of Equitable AI." Harvard Business Review (website) (September 29, 2023).
    • December 2018
    • Teaching Note

    Autonomous Vehicles: The Rubber Hits the Road…but When?

    By: William Kerr and James Palano
    The autonomous vehicles have enormous implications for business and society. But, despite the headline-laden attention paid to the technology, there remain more questions than answers. Students will learn about the complex industry and have explicit discussions about... View Details
    Keywords: Technology Management; Artificial Intelligence; General Management; Robotics; Technological Innovation; Transportation; Disruption; Information Technology; Management; Decision Making; AI and Machine Learning; Auto Industry; Technology Industry
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    Kerr, William, and James Palano. "Autonomous Vehicles: The Rubber Hits the Road…but When?" Harvard Business School Teaching Note 819-040, December 2018.
    • 2024
    • Working Paper

    Scaling Core Earnings Measurement with Large Language Models

    By: Matthew Shaffer and Charles CY Wang
    We study the application of large language models (LLMs) to the estimation of core earnings, i.e., a firm's persistent profitability from its core business activities. This construct is central to investors' assessments of economic performance and valuations. However,... View Details
    Keywords: Large Language Models; AI and Machine Learning; Accounting; Profit; Corporate Disclosure; Analytics and Data Science; Measurement and Metrics
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    Shaffer, Matthew, and Charles CY Wang. "Scaling Core Earnings Measurement with Large Language Models." Working Paper, November 2024.
    • 2023
    • Working Paper

    An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits

    By: Biyonka Liang and Iavor I. Bojinov
    Typically, multi-armed bandit (MAB) experiments are analyzed at the end of the study and thus require the analyst to specify a fixed sample size in advance. However, in many online learning applications, it is advantageous to continuously produce inference on the... View Details
    Keywords: Analytics and Data Science; AI and Machine Learning; Mathematical Methods
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    Liang, Biyonka, and Iavor I. Bojinov. "An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits." Harvard Business School Working Paper, No. 24-057, March 2024.
    • September 1986 (Revised August 1987)
    • Case

    Pressco, Inc.--1984

    By: William E. Fruhan Jr.
    A marketing representative of heavy industrial equipment needs to evaluate the net present value of his equipment from the perspective of the buyer under changing tax regulations. View Details
    Keywords: Machinery and Machining; Valuation; Product Positioning; Performance Evaluation; Taxation; Price; United States
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    Fruhan, William E., Jr. "Pressco, Inc.--1984." Harvard Business School Case 287-025, September 1986. (Revised August 1987.)
    • February 2024
    • Technical Note

    AI Product Development Lifecycle

    By: Michael Parzen, Jessie Li and Marily Nika
    In this article, we will discuss the concept of AI Products, how they are changing our daily lives, how the field of AI & Product Management is evolving, and the AI Product Development Lifecycle. View Details
    Keywords: Artificial Intelligence; Product Management; Product Life Cycle; Technology; AI and Machine Learning; Product Development
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    Parzen, Michael, Jessie Li, and Marily Nika. "AI Product Development Lifecycle." Harvard Business School Technical Note 624-070, February 2024.
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