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Show Results For

  • All HBS Web  (753)
    • News  (182)
    • Research  (370)
    • Events  (6)
    • Multimedia  (13)
  • Faculty Publications  (295)
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  • 17 May 2022
  • Cold Call Podcast

Delivering a Personalized Shopping Experience with AI

Keywords: Re: Jill J. Avery
  • December 2023 (Revised August 2024)
  • Case

Monsters in the Machine? Tackling the Challenge of Responsible AI

By: Paul M. Healy and Debora L. Spar
In November of 2022, the small tech company OpenAI released ChatGPT, an artificial intelligence chatbot which quickly captured the public’s imagination—becoming the world’s fastest-growing consumer application within months of its release. Though observers from across... View Details
Keywords: Technological Innovation; AI and Machine Learning; Ethics; Governing Rules, Regulations, and Reforms; Technology Adoption; Corporate Social Responsibility and Impact; Technology Industry; United States; European Union; China
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Healy, Paul M., and Debora L. Spar. "Monsters in the Machine? Tackling the Challenge of Responsible AI." Harvard Business School Case 324-062, December 2023. (Revised August 2024.)
  • 19 Jan 2023
  • Research & Ideas

What Makes Employees Trust (vs. Second-Guess) AI?

When an algorithm recommends ways to improve business outcomes, do employees trust it? Conventional wisdom suggests that understanding the inner workings of artificial intelligence (AI) can raise confidence... View Details
Keywords: by Rachel Layne
  • September 2020 (Revised July 2021)
  • Case

Moderna (A)

By: Marco Iansiti, Karim R. Lakhani, Hannah Mayer and Kerry Herman
In summer 2020, Stephane Bancel, CEO of biotech firm Moderna, faces several challenges as his company races to develop a vaccine for COVID-19. The case explores how a company builds a digital organization, and leverages artificial intelligence and other digital... View Details
Keywords: COVID-19; Vaccine; Digital Organizations; Organizational Structure; Operations; Management; Health Pandemics; Research and Development; Goals and Objectives
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Iansiti, Marco, Karim R. Lakhani, Hannah Mayer, and Kerry Herman. "Moderna (A)." Harvard Business School Case 621-032, September 2020. (Revised July 2021.)
  • April 2019 (Revised June 2019)
  • Case

From Globalization to Dual Digital Transformation: CEO Thierry Breton Leading Atos Into 'Digital Shockwaves' (A)

By: Tsedal Neeley, JT Keller and James Barnett
Thierry Breton, chairman and CEO of IT company Atos, faced a pivotal juncture. After spending eight intense years scaling the company globally to over 100,000 employees in 70 countries, he was ready to take the next crucial step. Breton was convinced that rapid digital... View Details
Keywords: Dual Digital Transformation; Transformation; Disruption; Employees; Competency and Skills; Training; Decision Making; Digital Transformation
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Neeley, Tsedal, JT Keller, and James Barnett. "From Globalization to Dual Digital Transformation: CEO Thierry Breton Leading Atos Into 'Digital Shockwaves' (A)." Harvard Business School Case 419-027, April 2019. (Revised June 2019.)
  • December 2021
  • Case

Burning Glass Technologies: From Data to Product

By: Suraj Srinivasan and Amy Klopfenstein
In May 2021, Matt Sigelman, CEO of Burning Glass Technologies, a company that provided labor market analytics for a variety of markets, navigates his company’s transition from data company to product company. Burning Glass originated as a service that used artificial... View Details
Keywords: Information Technology; Applications and Software; Digital Platforms; Internet and the Web; Strategy; Expansion; Business Strategy; Labor; Employment; Human Capital; Jobs and Positions; Job Design and Levels; Job Search; Human Resources; Selection and Staffing; Recruitment; Employees; Retention; Competency and Skills; Experience and Expertise; Talent and Talent Management; Analytics and Data Science; Business Model; Technology Industry; North and Central America; United States
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Srinivasan, Suraj, and Amy Klopfenstein. "Burning Glass Technologies: From Data to Product." Harvard Business School Case 122-015, December 2021.
  • September 2017
  • Case

Tencent

By: John R. Wells and Gabriel Ellsworth
Tencent had undergone many transformations since it was founded in 1998 as a simple messaging service. In 2017, it was the largest online games provider in China with a wide range of game types, China’s largest social networking service provider with several of the... View Details
Keywords: Tencent; Tencent Holdings; WeChat; Social Networking; Social Networks; Gaming; Gaming Industry; Video Games; Computer Games; Mobile Gaming; Portals; Payments; Mobile Payments; O2O; Online-to-offline; E-commerce; Messaging; Subscription Model; Freemium; Mobile App Industry; Smartphone; PC; Monetization Strategy; Antitrust; Streaming; Cloud Computing; Artificial Intelligence; Big Data; Alibaba; Facebook; JD.com; Tesla; Bundling; Synergies; Digital Strategy; Imitation; Licensing; Agility; Entry Barriers; Online Platforms; Advertising; Digital Marketing; Business Ventures; Acquisition; Mergers and Acquisitions; Business Conglomerates; Business Units; Business Growth and Maturation; Business Organization; For-Profit Firms; Joint Ventures; Restructuring; Communication; Communication Technology; Blogs; Interactive Communication; Interpersonal Communication; Entertainment; Film Entertainment; Games, Gaming, and Gambling; Music Entertainment; Investment; Investment Portfolio; Price; Profit; Revenue; Geographic Scope; Cross-Cultural and Cross-Border Issues; Global Strategy; Multinational Firms and Management; Globalized Markets and Industries; Business History; Innovation Strategy; Technological Innovation; Business or Company Management; Goals and Objectives; Growth and Development Strategy; Product Positioning; Social Marketing; Network Effects; Emerging Markets; Market Entry and Exit; Digital Platforms; Industry Growth; Monopoly; Media; Distribution Channels; Product Development; Service Delivery; Organizational Change and Adaptation; Organizational Structure; Public Ownership; Problems and Challenges; Business and Government Relations; Groups and Teams; Networks; Opportunities; Social and Collaborative Networks; Strategy; Adaptation; Business Strategy; Commercialization; Competition; Competitive Advantage; Competitive Strategy; Cooperation; Corporate Strategy; Diversification; Expansion; Horizontal Integration; Vertical Integration; Segmentation; Information Technology; Internet and the Web; Mobile and Wireless Technology; Internet and the Web; Applications and Software; Information Infrastructure; Digital Platforms; Internet and the Web; Mobile and Wireless Technology; Value Creation; Communications Industry; Entertainment and Recreation Industry; Financial Services Industry; Information Industry; Information Technology Industry; Media and Broadcasting Industry; Motion Pictures and Video Industry; Music Industry; Service Industry; Technology Industry; Telecommunications Industry; Video Game Industry; Web Services Industry; Asia; China; Canton (province, China)
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Wells, John R., and Gabriel Ellsworth. "Tencent." Harvard Business School Case 718-426, September 2017.
  • November 2024
  • Background Note

Nonprofit Governance: Some Basics

By: Lynn S. Paine and Will Hurwitz
This background note discusses basics about the prevalence, purpose, and unique legal, governance and regulatory dynamics of nonprofits and their boards of directors. The note describes both similarities and differences between for-profit and non-profit governance,... View Details
Keywords: Corporate Governance; Leadership; Mission and Purpose; Nonprofit Organizations; Governing Rules, Regulations, and Reforms; Governing and Advisory Boards; United States
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Paine, Lynn S., and Will Hurwitz. "Nonprofit Governance: Some Basics." Harvard Business School Background Note 325-067, 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).
  • June 2025
  • Case

AI Wars in 2025

By: Andy Wu and Anna Yang
In June 2025, Google leaders in Mountain View, CA convened after its parent company Alphabet shed a quarter-trillion in market capitalization in a matter of months. The immediate spark—the quiet revelation that Google searches had dipped for the first time in 20... View Details
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Wu, Andy, and Anna Yang. "AI Wars in 2025." Harvard Business School Case 725-484, June 2025.
  • November 2020 (Revised March 2021)
  • Case

Sercomm: Operating in China Amid COVID-19 and Beyond

By: Prithwiraj Choudhury, Gary P. Pisano and Bonnie Yining Cao
The COVID-19 pandemic had forced a production cut in the factory of Sercomm, one of the world’s major telecom equipment producers, in China. The case explores and highlights the challenges that Chief Executive Officer James Wang faced: How could Sercomm recover and... View Details
Keywords: Emerging Markets; Information Technology; Operations; Management; Health Pandemics; Strategy; Telecommunications Industry; Manufacturing Industry; China
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Choudhury, Prithwiraj, Gary P. Pisano, and Bonnie Yining Cao. "Sercomm: Operating in China Amid COVID-19 and Beyond." Harvard Business School Case 621-005, November 2020. (Revised March 2021.)
  • 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.)
  • 14 Mar 2023
  • Cold Call Podcast

Can AI and Machine Learning Help Park Rangers Prevent Poaching?

Keywords: Re: Brian L. Trelstad; Computer; Information Technology; Technology
  • September 2024
  • Exercise

Finding Your 'Jagged Frontier': A Generative AI Exercise

By: Mitchell Weiss
In 2023 a set of scholars set out to study the effect of artificial intelligence (AI) on the quality and productivity of knowledge workers—in this specific instance, management consultants. They wanted to know across a range of tasks in a workflow, which, if any, would... View Details
Keywords: AI and Machine Learning; Performance Productivity; Performance Evaluation; Consulting Industry
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Weiss, Mitchell. "Finding Your 'Jagged Frontier': A Generative AI Exercise." Harvard Business School Exercise 825-070, September 2024.
  • August 2020
  • Article

Machine Learning and Human Capital Complementarities: Experimental Evidence on Bias Mitigation

By: Prithwiraj Choudhury, Evan Starr and Rajshree Agarwal
The use of machine learning (ML) for productivity in the knowledge economy requires considerations of important biases that may arise from ML predictions. We define a new source of bias related to incompleteness in real time inputs, which may result from strategic... View Details
Keywords: Machine Learning; Bias; Human Capital; Management; Strategy
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Choudhury, Prithwiraj, Evan Starr, and Rajshree Agarwal. "Machine Learning and Human Capital Complementarities: Experimental Evidence on Bias Mitigation." Strategic Management Journal 41, no. 8 (August 2020): 1381–1411.
  • 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.
  • October 2023 (Revised January 2025)
  • Case

Sydney Loves Kevin

By: Ryan W. Buell and Himabindu Lakkaraju
Kevin Roose was a columnist and podcast host for the New York Times, who focused on technology and its effects on society. When Microsoft launched the latest version of its search engine Bing in February 2023, the company invited Roose to its Redmond campus to... View Details
Keywords: Newspapers; AI and Machine Learning; Technology Adoption; Technological Innovation; Perspective; Media and Broadcasting Industry; Technology Industry
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Buell, Ryan W., and Himabindu Lakkaraju. "Sydney Loves Kevin." Harvard Business School Case 624-039, October 2023. (Revised January 2025.)
  • March 2019 (Revised June 2021)
  • Case

HelloSelf: Foundation

By: John R. Wells and Benjamin Weinstock
On January 6, 2019, HelloSelf, a London-based “BrainTech” company, founded a year earlier by Charles Wells, soft launched. The proposition was simply to help its members “Be your Best Self.” The company provided its registered members with access to a clinical... View Details
Keywords: Startup; Start-up; Startup Management; Startup Marketing; Startups; Start-ups; BrainTech; Marketing Research; Strategic Decision Making; Strategy Development; Strategy Dynamics; Neuroscience; Cognition; Cognitive Psychology; Health & Wellness; Health Care; Health Care Reform; Health Care Outcomes; Self-awareness; Mental Health; Wellbeing; Wellness; Funding; Equity Financing; Raising Capital; Synergies; Team Building; National Health Insurance; Artificial Intelligence; MVP; Business Startups; Health; Health Care and Treatment; Management; Well-being; Marketing Channels; Decision Making; Strategy; Technology; United Kingdom; London
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Wells, John R., and Benjamin Weinstock. "HelloSelf: Foundation." Harvard Business School Case 719-492, March 2019. (Revised June 2021.)
  • May 2024
  • Case

Pernod Ricard: Uncorking Digital Transformation

By: Iavor Bojinov, Edward McFowland III, François Candelon, Nikolina Jonsson and Emer Moloney
This case study explores the opportunities and challenges of the digital transformation journey of French wine and spirits company Pernod Ricard. As part of the transformation, the company launched four key digital programs (KDPs) aimed at using data and artificial... View Details
Keywords: Business Organization; Business Divisions; Talent and Talent Management; Global Strategy; AI and Machine Learning; Analytics and Data Science; Digital Transformation; Digital Strategy; Advertising; Sales; Organizational Culture; Product Development; Decision Making; Technology Adoption; Alignment; Expansion; Food and Beverage Industry; France; Europe
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Bojinov, Iavor, Edward McFowland III, François Candelon, Nikolina Jonsson, and Emer Moloney. "Pernod Ricard: Uncorking Digital Transformation." Harvard Business School Case 624-095, May 2024.
  • Article

Beacon and Warning: Sherman Kent, Scientific Hubris, and the CIA's Office of National Estimates

By: J. Peter Scoblic
Would-be forecasters have increasingly extolled the predictive potential of Big Data and artificial intelligence. This essay reviews the career of Sherman Kent, the Yale historian who directed the CIA’s Office of National Estimates from 1952 to 1967, with an eye toward... View Details
Keywords: National Security; Analytics and Data Science; Analysis; Forecasting and Prediction; History
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Scoblic, J. Peter. "Beacon and Warning: Sherman Kent, Scientific Hubris, and the CIA's Office of National Estimates." Texas National Security Review 1, no. 4 (August 2018).
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