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The role of Artificial Intelligence and data network effects for creating user value
Ola Henfridsson, professor of business technology at Miami Herbert Business School, will present his latest research at House of Innovation. This seminar is organised in collaboration with the Stockholm School of Economics.

About his research:

Some of the world’s most profitable firms own platforms that exhibit network effects. A platform exhibits network effects if the more people that use it, the more valuable that it becomes to each user. Theorizing about the value perceived by users of a platform that exhibits network effects has traditionally focused on direct and indirect network effects. In this paper, we theorize about a third type of network effects—data network effects—that has emerged from advances in artificial intelligence (AI) and the growing availability of data. A platform exhibits data network effects if the more that the platform learns from the data it collects on users, the more valuable the platform becomes to each user. We argue that there is a positive direct relationship between the AI capability of a platform and the value perceived in the platform by its users—a relationship that is moderated by platform legitimation, data stewardship and user-centric design.

About Ola Henfridsson:

Ola Henfridsson is a Professor of Business Technology at Miami Herbert Business School, University of Miami. His research interests relate to digital innovation, platforms, and technology management. Ola teaches graduate and undergraduate courses related to technology, innovation, and artificial intelligence. He is co-director of the Business Analytics and Technology research cluster.

Ola is a (part-time) WBS Distinguished Research Environment Professor at Warwick Business School, where he used to serve as Professor and Head of the Information Systems and Management group for more than six years.

Feb 24, 2021 03:00 PM in Stockholm

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