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- September 1997 (Revised May 1999)
- Case
Precision Controls, Inc.
By: James K. Sebenius and David T. Kotchen
Precision Controls is a Minnesota-based manufacturer of electronic control devices. To enhance its product line, Precision would like to establish an artificial intelligence research group, either through internal development or, preferably, by merging with or...
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Keywords:
Information Technology;
Valuation;
Research and Development;
Negotiation Process;
Stock Shares;
Negotiation Tactics;
Mergers and Acquisitions;
Manufacturing Industry;
Electronics Industry;
Minnesota
Sebenius, James K., and David T. Kotchen. "Precision Controls, Inc." Harvard Business School Case 898-046, September 1997. (Revised May 1999.)
- Research Summary
Building Small Business Utopia: How Artificial Intelligence and Big Data Can Increase Small Business Success
By: Karen Mills
Small business lending has remained unchanged for decades, laden with frictions and barriers that prevent many small businesses from accessing the capital they need to succeed. Financial technology, or “fintech,” promises to change this trajectory. In 2010, new fintech...
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- 2024
- Article
How Artificial Intelligence Constrains Human Experience
By: A. Valenzuela, S. Puntoni, D. Hoffman, N. Castelo, J. De Freitas, B. Dietvorst, C. Hildebrand, Y.E. Huh, R. Meyer, M. Sweeney, S. Talaifar, G. Tomaino and K. Wertenbroch
Many consumption decisions and experiences are digitally mediated. As a consequence, consumer behavior is increasingly the joint product of human psychology and ubiquitous algorithms (Braun et al. 2024; cf. Melumad et al. 2020). The coming of age of Large Language...
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Keywords:
Large Language Model
Valenzuela, A., S. Puntoni, D. Hoffman, N. Castelo, J. De Freitas, B. Dietvorst, C. Hildebrand, Y.E. Huh, R. Meyer, M. Sweeney, S. Talaifar, G. Tomaino, and K. Wertenbroch. "How Artificial Intelligence Constrains Human Experience." Special Issue on Automation. Journal of the Association for Consumer Research (2024).
- 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...
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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. Review of Marketing Research. Emerald Publishing Limited, forthcoming.
- Teaching Interest
Overview
Public entrepreneurship, entrepreneurship, leadership, business and government, cities, artificial intelligence
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- Research Summary
Overview
By: Roberto Verganti
Roberto’s research focuses on how to create innovations that are meaningful for people, for society, and for their creators. He explores how leaders and organizations generate radically new visions, and make those visions come real. His studies lie at the intersection...
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- Research Summary
Overview
I develop machine learning tools and techniques which enable human decision makers to make better decisions. More specifically, my research addresses the following fundamental questions pertaining to human and algorithmic decision-making:
1. How to build... View Details
1. How to build... View Details
- Research Summary
Overview
By: John A. Deighton
Professor Deighton conducts research at the intersection of information technology and marketing. He is interested in the complementary uses of human and artificial intelligence and creativity in areas such as advertising, content creation, and online retailing. He...
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- Research Summary
Overview
By: Navid Mojir
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
- Research Summary
Overview
By: Ayelet Israeli
Professor Israeli utilizes econometric methods and field experiments to study data driven decision making in marketing context. Her research focuses on data-driven marketing, with an emphasis on how businesses can leverage their own data, customer data, and market data...
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- Forthcoming
- 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...
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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 (forthcoming). (Pre-published online May 31, 2023.)
- Forthcoming
- Article
The Business Revolution: Economy-Wide Impacts of Artificial Intelligence and Digital Platforms
By: Hanna Halaburda, Jeffrey Prince, D. Daniel Sokol and Feng Zhu
In this essay, we identify several themes of the digital business transformation, with a particular focus on the economy-wide impacts of artificial intelligence and digital platforms. In doing so, we highlight specific industries, beyond just the high-profile “Big...
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Halaburda, Hanna, Jeffrey Prince, D. Daniel Sokol, and Feng Zhu. "The Business Revolution: Economy-Wide Impacts of Artificial Intelligence and Digital Platforms." Journal of Economics & Management Strategy (forthcoming). (Pre-published online February 20, 2024.)
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