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  • All HBS Web  (658)
    • News  (180)
    • Research  (375)
    • Events  (6)
    • Multimedia  (13)
  • Faculty Publications  (280)

Show Results For

  • All HBS Web  (658)
    • News  (180)
    • Research  (375)
    • Events  (6)
    • Multimedia  (13)
  • Faculty Publications  (280)
← Page 16 of 658 Results →
  • 09 Nov 2020
  • News

Best Business Books 2020: Technology & innovation

  • 2023
  • Working Paper

Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development

By: Daniel Yue, Paul Hamilton and Iavor Bojinov
Predictive model development is understudied despite its centrality in modern artificial intelligence and machine learning business applications. Although prior discussions highlight advances in methods (along the dimensions of data, computing power, and algorithms)... View Details
Keywords: Analytics and Data Science
Citation
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Yue, Daniel, Paul Hamilton, and Iavor Bojinov. "Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development." Harvard Business School Working Paper, No. 23-029, December 2022. (Revised April 2023.)
  • 2024
  • Chapter

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
Citation
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Stern, Ariel Dora. "The Regulation of Medical AI: Policy Approaches, Data, and Innovation Incentives." Chap. 4 in The Economics of Artificial Intelligence: Health Care Challenges, edited by Ajay Agrawal, Joshua Gans, Avi Goldfarb, and Catherine E. Tucker, 107–138. Chicago and London: University of Chicago Press, 2024.

    Paul Hamilton

    Paul studies the economic complements needed for firms to realize productivity gains from machine learning and artificial intelligence. These complements include data, human capital & skills, organizational processes, and business models. 
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    • 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.
    • 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
    Citation
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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.

      Suraj Srinivasan

      Suraj Srinivasan is the Philip J. Stomberg Professor of Business Administration, a member of the Accounting and Management faculty unit, and chair of the View Details

      Keywords: accounting industry; financial services
      • 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
      Citation
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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.
      • 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
      Citation
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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 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.)

        Julian De Freitas

        Julian De Freitas is an Assistant Professor of Business Administration in the Marketing Unit, and Director of the Ethical Intelligence Lab, at Harvard Business School. He earned his PhD in psychology from Harvard, masters from Oxford, and BA from Yale. He teaches... View Details

        Keywords: advertising; automotive; consumer products; e-commerce industry; insurance industry; marketing industry; nonprofit industry; software; transportation; video games
        • 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
        Citation
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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.)
        • 28 Mar 2018
        • HBS Seminar

        Tim O’Reilly, O’Reilly Media

        • 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

        • 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
        Citation
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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.)

          Benson P. Shapiro

          Benson P. Shapiro is a well-known authority on marketing strategy and sales management with particular interests in pricing, product line planning, and marketing organization. He is also the Malcolm P. McNair Professor of Marketing Emeritus at the Harvard Business... View Details

          Keywords: apparel; banking; beauty products; brokerage; chemical; computer; consulting; e-commerce industry; electrical equipment; electronics; financial services; food; high technology; industrial goods; information; information technology industry; internet; investment banking industry; manufacturing; marketing industry; metals; plastics; printing; professional services; software; steel; telecommunications; wholesale

            Dennis Campbell

            Dennis W. Campbell is currently the Dwight P. Robinson Jr. Professor of Business Administration at Harvard Business School. His research and teaching activities focus broadly on how management control systems can be designed to balance short-term strategy execution... View Details

            Keywords: financial services; service industry; hotels & motels; consumer products; restaurant; manufacturing; professional services
            • 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
            Citation
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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).
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