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  • 2021
  • Working Paper

CRM and AI in Time of Crisis

By: Michelle Y. Lu and Navid Mojir
A crisis can affect the incentives of various players within a firm’s multi-layered sales and marketing organization (e.g., headquarters and branches of a bank). Such shifts can result in sales decisions against the firm’s best interests. Motivated by the backlash to... View Details
Keywords: CRM; Artificial Intelligence; AI; B2B Marketing; Decision Authority; Crisis Marketing; Intra-organizational Conflict; COVID-19 Pandemic; Customer Relationship Management; Technological Innovation; Decision Making; Strategy; Health Pandemics; Crisis Management; AI and Machine Learning
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  • 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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  • 2023
  • Working Paper

Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality

By: Fabrizio Dell'Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon and Karim R. Lakhani
The public release of Large Language Models (LLMs) has sparked tremendous interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of tasks. In our study conducted with Boston Consulting Group, a global management consulting firm, we examine... View Details
Keywords: Large Language Model; AI and Machine Learning; Performance Efficiency; Performance Improvement
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  • 22 Feb 2022
  • News

March 2022 Alumni and Faculty Books

self-refining algorithms (aka machine learning) and wearable sensors and computers, and offer a compass for making the right choice for CEOs... View Details

    Magie Cheng

    Mengjie (Magie) Cheng is a Ph.D. student in Marketing at Harvard Business School. She received her B.S. in Finance from Chu Kochen Honors College at Zhejiang University and M.S. in Management Science and... View Details
    • 02 Oct 2018
    • First Look

    New Research and Ideas, October 2, 2018

    policies. Download working paper: https://www.hbs.edu/faculty/Pages/item.aspx?num=55050 "Developing Theory Using Machine Learning Methods By: Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres... View Details
    Keywords: Dina Gerdeman
    • 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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    • 23 May 2023
    • Research & Ideas

    Face Value: Do Certain Physical Features Help People Get Ahead?

    empirically predicted with a machine learning model, suggests work by Shunyuan Zhang, an assistant professor at Harvard Business School, and collaborators. “Our research represents the first empirical... View Details
    Keywords: by Kara Baskin
    • October 2001 (Revised December 2004)
    • Case

    Chiang-Sho Ltd.

    Chiang-Sho Ltd. is a joint venture producing agricultural machinery in China. The CEO must decide how to respond to pressure from the Chinese partner--also the joint venture's largest customer--to increase production and lower prices. The CEO must choose either a... View Details
    Keywords: Joint Ventures; Business Strategy; Manufacturing Industry; China
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    • March 2018
    • Case

    IBM: Watson and the Internet of Things

    By: Rajiv Lal and Scott Johnson
    IBM has recently launched a business unit devoted to the Internet of Things. The group's leadership team needs to figure out the best way to quickly scale its business in a fragmented and nascent market. View Details
    Keywords: IBM; Internet Of Things; Watson; Artificial Intelligence; Internet and the Web; Applications and Software; Mobile and Wireless Technology; Growth and Development Strategy; Emerging Markets; AI and Machine Learning; Technology Industry
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    • 26 Feb 2019
    • First Look

    New Research and Ideas, February 26, 2019

    https://www.hbs.edu/faculty/Pages/item.aspx?num=55668 2019 Proceedings of the Hawaii International Conference on System Sciences Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications By: Elsner,... View Details
    Keywords: Dina Gerdeman
    • 16 Oct 2018
    • First Look

    New Research and Ideas, October 16, 2018

    Methods By: Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres Abstract—We describe how to employ machine learning (ML) methods in theory development. Compared to traditional causal inference methods,... View Details
    Keywords: Dina Gerdeman
    • April 12, 2023
    • Article

    Using AI to Adjust Your Marketing and Sales in a Volatile World

    By: Das Narayandas and Arijit Sengupta
    Why are some firms better and faster than others at adapting their use of customer data to respond to changing or uncertain marketing conditions? A common thread across faster-acting firms is the use of AI models to predict outcomes at various stages of the customer... View Details
    Keywords: Forecasting and Prediction; AI and Machine Learning; Consumer Behavior; Technology Adoption; Competitive Advantage
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    • 01 Jun 2022
    • News

    June 2022 Alumni and Faculty Books

    intricacies of coding, algorithms, AI, machine learning, robotics, and who-knows-what’s-next. That’s not the case. You can develop a digital mindset, and this book shows you... View Details
    Keywords: Publishing Industries (except Internet); Information
    • 21 Aug 2018
    • First Look

    New Research and Ideas, August 21, 2018

    2018 Boston: Harvard Business Review Press Driving Digital Strategy: A Guide to Reimagining Your Business By: Gupta, Sunil Abstract—Disruption and transformation get a lot of hype and for good reason.... View Details
    Keywords: Dina Gerdeman
    • 15 May 2018
    • First Look

    New Research and Ideas, May 15, 2018

    suppliers? Which potential customers will be most responsive to a particular marketing campaign? Which job candidates should I employ? Machine learning, data science, big data, and predictive analytics all... View Details
    Keywords: Dina Gerdeman
    • 09 Oct 2018
    • First Look

    New Research and Ideas, October 9, 2018

    process. Can algorithms, machine learning, and artificial intelligence help Tailor Brands outperform graphic designers and branding agencies in developing brand identities?... View Details
    Keywords: Dina Gerdeman
    • 25 Sep 2018
    • First Look

    New Research and Ideas, September 25, 2018

    case:https://hbsp.harvard.edu/product/218039-PDF-ENG Harvard Business School 213-013 MC Tool Two partners acquired MC Tool in October 2007 for $5 million. The company was a machine shop that manufactured parts for a wide variety of... View Details
    Keywords: Dina Gerdeman
    • 01 Sep 2018
    • News

    September 2018 Alumni and Faculty Books

    Tigers in the late twentieth. Many may consider this an old-fashioned way to develop, but as Sun argues, it's the only one that's proven to raise living standards across entire societies in a lasting way. And with every new Chinese... View Details
    • 28 Aug 2018
    • First Look

    New Research and Ideas, August 28, 2018

    technology firms such as IBM, Microsoft, Google, and HP, as well as by Japanese multinationals such as Sony, Canon, and Fujitsu. Chinese patenting in the U.S. is small but growing rapidly View Details
    Keywords: Dina Gerdeman