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Show Results For

  • All HBS Web  (723)
    • News  (180)
    • Research  (359)
    • Events  (6)
    • Multimedia  (13)
  • Faculty Publications  (281)
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  • March 2023
  • Case

Moderna

By: Marco Iansiti, Karim R. Lakhani, Hannah Mayer, Kerry Herman, Allison J. Wigen and Dave Habeeb
This multimedia case follows the story of Moderna and its entry into vaccine development in the wake of the COVID-19 pandemic. In summer 2020, Stephane Bancel, CEO of biotech firm Moderna, faces several challenges as his company races to develop a vaccine for COVID-19.... View Details
Keywords: Health Pandemics; Research and Development; Digital Transformation; Health Testing and Trials; Biotechnology Industry; Pharmaceutical Industry
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Iansiti, Marco, Karim R. Lakhani, Hannah Mayer, Kerry Herman, Allison J. Wigen, and Dave Habeeb. "Moderna." Harvard Business School Multimedia/Video Case 623-703, March 2023. (Click here to access this case.)
  • 2022
  • Working Paper

The Regulation of Medical AI: Policy Approaches, Data, and Innovation Incentives

By: Ariel Dora Stern
For those who follow health and technology news, it is difficult to go more than a few days without reading about a compelling new application of Artificial Intelligence (AI) to health care. AI has myriad applications in medicine and its adjacent industries, with... View Details
Keywords: AI and Machine Learning; Health Care and Treatment; Governing Rules, Regulations, and Reforms; Technological Innovation; Medical Devices and Supplies Industry
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Stern, Ariel Dora. "The Regulation of Medical AI: Policy Approaches, Data, and Innovation Incentives." NBER Working Paper Series, No. 30639, December 2022.
  • October 2023 (Revised February 2024)
  • Case

Loris

By: Shunyuan Zhang, Das Narayandas, Stacy Straaberg and David Lane
In December 2022, Loris’s executive team considered their go-to-market strategy. Loris was an artificial intelligence (AI) software startup for the customer service industry with two products on the market: 1) Agent Assist which provided customer service agents (CSAs)... View Details
Keywords: Decisions; Growth and Development Strategy; Product Launch; Product Positioning; Business Strategy; Competitive Strategy; Business Startups; AI and Machine Learning; Applications and Software; Marketing Strategy; Sales; Technology Industry; United States
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Zhang, Shunyuan, Das Narayandas, Stacy Straaberg, and David Lane. "Loris." Harvard Business School Case 524-010, October 2023. (Revised February 2024.)
  • September–October 2024
  • Article

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; Generative Ai; Crowdsourcing; AI and Machine Learning; Creativity; Technological Innovation
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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." Organization Science 35, no. 5 (September–October 2024): 1589–1607.
  • 2023
  • Chapter

Marketing Through the Machine’s Eyes: Image Analytics and Interpretability

By: Shunyuan Zhang, Flora Feng and Kannan Srinivasan
he growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility—if only the... View Details
Keywords: Transparency; Marketing Research; Algorithmic Bias; AI and Machine Learning; Marketing
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Zhang, Shunyuan, Flora Feng, and Kannan Srinivasan. "Marketing Through the Machine’s Eyes: Image Analytics and Interpretability." Chap. 8 in Artificial Intelligence in Marketing. 20, edited by Naresh K. Malhotra, K. Sudhir, and Olivier Toubia, 217–238. Review of Marketing Research. Emerald Publishing Limited, 2023.
  • February 2018 (Revised September 2018)
  • Case

Huawei: How Can We Lead the Way?

By: Elie Ofek, Tian Tao, Eden Yin and Nancy Hua Dai
On September 12, 2017, just as Apple’s Tim Cook was unveiling the iPhone X, Richard Yu, CEO of Huawei’s Consumer Business Group (CBG), and Glory Cheung, his Chief Marketing Officer, were discussing some key strategic issues regarding Huawei’s smartphone business.... View Details
Keywords: Product Launch; Product Positioning; Marketing Communications; Price; Competitive Strategy; Global Strategy
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Ofek, Elie, Tian Tao, Eden Yin, and Nancy Hua Dai. "Huawei: How Can We Lead the Way?" Harvard Business School Case 518-071, February 2018. (Revised September 2018.)
  • 2024
  • Working Paper

The Wade Test: Generative AI and CEO Communication

By: Prithwiraj Choudhury, Bart S. Vanneste and Amirhossein Zohrehvand
Can generative artificial intelligence (AI) transform the role of the CEO by effectively automating CEO communication? This study investigates whether AI can mimic a human CEO and whether employees’ perception of the communication’s source matter. In a field... View Details
Keywords: Business or Company Management; AI and Machine Learning; Perception; Communication
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Choudhury, Prithwiraj, Bart S. Vanneste, and Amirhossein Zohrehvand. "The Wade Test: Generative AI and CEO Communication." Harvard Business School Working Paper, No. 25-008, August 2024.
  • February 2021 (Revised March 2022)
  • Case

TikTok in 2020: Super App or Supernova?

By: Jeffrey F. Rayport, Dan Maher and Dan O'Brien
TikTok’s parent company, ByteDance, was launched in 2012 around a simple idea – helping users entertain themselves on their smartphones while on the Beijing Subway. In less than a decade, it had become one of the world’s most valuable private companies, with investors... View Details
Keywords: Business Model; Business Startups; Business Organization; Change Management; Disruption; Cross-Cultural and Cross-Border Issues; Global Strategy; Health Pandemics; Innovation Strategy; Growth and Development Strategy; Growth Management; Brands and Branding; Marketing Strategy; Marketing Channels; Network Effects; Digital Platforms; Product Design; Product Development; Partners and Partnerships; Opportunities; Social Issues; Mobile and Wireless Technology; Internet and the Web; Value Creation; United States; China
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Rayport, Jeffrey F., Dan Maher, and Dan O'Brien. "TikTok in 2020: Super App or Supernova?" Harvard Business School Case 821-087, February 2021. (Revised March 2022.)
  • 2025
  • Working Paper

Generative AI and the Nature of Work

By: Manuel Hoffmann, Sam Boysel, Frank Nagle, Sida Peng and Kevin Xu
Recent advances in artificial intelligence (AI) technology demonstrate a considerable potential to complement human capital intensive activities. While an emerging literature documents wide-ranging productivity effects of AI, relatively little attention has been paid... View Details
Keywords: Generative Ai; Digital Work; Open Source Software; Knowledge Economy; AI and Machine Learning; Open Source Distribution; Organizational Structure; Performance Productivity; Labor
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Hoffmann, Manuel, Sam Boysel, Frank Nagle, Sida Peng, and Kevin Xu. "Generative AI and the Nature of Work." Harvard Business School Working Paper, No. 25-021, October 2024. (Revised April 2025.)
  • Research Summary

Overview

Navid has worked with different organizations across various industries, from the Federal Reserve to medical device manufacturers, heavy construction equipment sellers, and B2B software providers, to assemble proprietary datasets in studying organizational buying.... View Details

  • Forthcoming
  • Article

Engaging Customers with AI in Online Chats: Evidence from a Randomized Field Experiment

By: Shunyuan Zhang and Das Narayandas
We examine how artificial intelligence (AI) affected the productivity of customer service agents and customer sentiment in online interactions. Collaborating with a meal delivery company, we conducted a randomized field experiment that exploited exogenous variation in... View Details
Keywords: AI and Machine Learning; Customer Focus and Relationships; Performance Efficiency
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Zhang, Shunyuan, and Das Narayandas. "Engaging Customers with AI in Online Chats: Evidence from a Randomized Field Experiment." Management Science (forthcoming).
  • 2024
  • Working Paper

The Narrative AI Advantage? A Field Experiment on Generative AI-Augmented Evaluations of Early-Stage Innovations

By: Jacqueline N. Lane, Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh and Pei-Hsin Wang
The rise of generative artificial intelligence (AI) is transforming creative problem-solving, necessitating new approaches for evaluating innovative solutions. This study explores how human-AI collaboration can enhance early-stage evaluations, focusing on the interplay... View Details
Keywords: Large Language Models; AI and Machine Learning; Innovation and Invention; Decision Making
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Lane, Jacqueline N., Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh, and Pei-Hsin Wang. "The Narrative AI Advantage? A Field Experiment on Generative AI-Augmented Evaluations of Early-Stage Innovations." Harvard Business School Working Paper, No. 25-001, August 2024. (Revised August 2024.)
  • September 2024
  • Article

The Human Side of the Future of Work: Understanding the Role People Play in Shaping a Changing World

By: Jochen I. Menges, Lauren C. Howe, Erika Hall, Jon M. Jachimowicz, Sharon K. Parker, Riki Takeuchi, Abhijeet K. Vadera, Ashley Whillans and Susan K. Cohen
For as long as there has been work, there has been a “future of work,” through humans’ ingenuity and drive to get things done easier, faster, and better. With the industrial revolution, efforts to shape a better future of work were dominated by improvements in... View Details
Keywords: Change; Labor
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Menges, Jochen I., Lauren C. Howe, Erika Hall, Jon M. Jachimowicz, Sharon K. Parker, Riki Takeuchi, Abhijeet K. Vadera, Ashley Whillans, and Susan K. Cohen. "The Human Side of the Future of Work: Understanding the Role People Play in Shaping a Changing World." Academy of Management Discoveries 10, no. 3 (September 2024): 307–318.
  • May–June 2024
  • Article

Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs

By: Jacqueline N. Lane, Karim R. Lakhani and Roberto Fernandez
Competence development in digital technologies, analytics, and artificial intelligence is increasingly important to all types of organizations and their workforce. Universities and corporations are investing heavily in developing training programs, at all tenure... View Details
Keywords: Prejudice and Bias; Gender; Training; Recruitment; Personal Development and Career
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Lane, Jacqueline N., Karim R. Lakhani, and Roberto Fernandez. "Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs." Organization Science 35, no. 3 (May–June 2024): 911–927.
  • 2023
  • Working Paper

Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs

By: Jacqueline N. Lane, Karim R. Lakhani and Roberto Fernandez
Competence development in digital technologies, analytics, and artificial intelligence is increasingly important to all types of organizations and their workforce. Universities and corporations are investing heavily in developing training programs, at all tenure... View Details
Keywords: STEM; Selection and Staffing; Gender; Prejudice and Bias; Training; Equality and Inequality; Competency and Skills
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Lane, Jacqueline N., Karim R. Lakhani, and Roberto Fernandez. "Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs." Harvard Business School Working Paper, No. 23-066, April 2023. (Accepted by Organization Science.)
  • 2024
  • Working Paper

Warnings and Endorsements: Improving Human-AI Collaboration Under Covariate Shift

By: Matthew DosSantos DiSorbo and Kris Ferreira
Problem definition: While artificial intelligence (AI) algorithms may perform well on data that are representative of the training set (inliers), they may err when extrapolating on non-representative data (outliers). These outliers often originate from covariate shift,... View Details
Keywords: AI and Machine Learning; Decision Choices and Conditions
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DosSantos DiSorbo, Matthew, and Kris Ferreira. "Warnings and Endorsements: Improving Human-AI Collaboration Under Covariate Shift." Working Paper, February 2024.
  • March 2024
  • Teaching Note

CoPilot(s): Generative AI at Microsoft and GitHub

By: Frank Nagle and Maria P. Roche
This teaching note is the companion to case N9-624-010 CoPilot(s): Generative AI at Microsoft and GitHub, which takes place in late 2021. The case briefly describes the history of both GitHub and Microsoft with a particular focus on open source software (OSS)—software... View Details
Keywords: Mergers and Acquisitions; AI and Machine Learning; Applications and Software; Technological Innovation; Product Launch; Open Source Distribution; Product Development; Commercialization; Competition; Resource Allocation; Technology Industry
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Nagle, Frank, and Maria P. Roche. "CoPilot(s): Generative AI at Microsoft and GitHub." Harvard Business School Teaching Note 724-452, March 2024.
  • March 2024 (Revised August 2024)
  • Case

Darktrace: Scaling Cybersecurity and AI (A)

By: Jeffrey F. Rayport and Alexis Lefort
In 2023, Darktrace CEO Poppy Gustafsson was contemplating her growth strategy at a leading U.K.-based cybersecurity venture, launched in 2013 by a group of anti-terror cyber specialists, University of Cambridge mathematicians, and artificial intelligence (AI) experts.... View Details
Keywords: Technology; Talent; Scaling; Entrepreneurship; Cybersecurity; Leadership; Business Growth and Maturation; Recruitment; Resignation and Termination; AI and Machine Learning; Growth and Development Strategy; Organizational Culture; Going Public; Technology Industry; United Kingdom; Europe; United States
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Rayport, Jeffrey F., and Alexis Lefort. "Darktrace: Scaling Cybersecurity and AI (A)." Harvard Business School Case 824-092, March 2024. (Revised August 2024.)
  • October 2023
  • Teaching Note

Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models

By: Tsedal Neeley and Tim Englehart
Teaching Note for HBS Case No. 422-085. Dr. Timnit Gebru—a leading artificial intelligence (AI) computer scientist and co-lead of Google’s Ethical AI team—was messaging with one of her colleagues when she saw the words: “Did you resign?? Megan sent an email saying that... View Details
Keywords: Ethics; Employment; Corporate Social Responsibility and Impact; Technological Innovation; AI and Machine Learning; Diversity; Prejudice and Bias; Technology Industry
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Neeley, Tsedal, and Tim Englehart. "Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models." Harvard Business School Teaching Note 424-028, October 2023.
  • 2019
  • Article

Overcoming Cultural Resistance to Open Source Innovation

By: John Winsor, Jin Hyun Paik, Michael Tushman and Karim R. Lakhani
Purpose: This article offers insight on how to effectively help incumbent organizations prepare for global business shifts to open source and digital business models.
Design/methodology/approach: Discussion related to observation, experience and case studies... View Details
Keywords: Open Source Innovation; Organizational Culture; Organizational Change and Adaptation; Business Model; Technological Innovation; Collaborative Innovation and Invention
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Winsor, John, Jin Hyun Paik, Michael Tushman, and Karim R. Lakhani. "Overcoming Cultural Resistance to Open Source Innovation." Strategy & Leadership 47, no. 6 (2019): 28–33.
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