Title data
Geske, Flora ; Hofmann, Peter ; Lämmermann, Luis ; Schlatt, Vincent ; Urbach, Nils:
Gateways to Artificial Intelligence : Developing a Taxonomy for AI Service Platforms.
In:
Proceedings of the 29th European Conference on Informations Systems (ECIS). -
Marrakech, Morocco
,
2021
Project information
Project title: |
Project's official title Project's id Projektgruppe WI Künstliche Intelligenz No information |
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Abstract in another language
Artificial Intelligence (AI) carries the potential to drive innovation in many parts of today’s business environment. Instead of building AI capabilities in-house, some organizations turn towards an emergent phenomenon: AI service platforms. However, as a novel concept in both research and practice, a systematic characterization of AI service platforms is missing. To address this gap, we define the concept of AI service platforms and develop a comprehensive taxonomy. Therefore, we rely on existing literature, 14 expert interviews, and a sample of 31 AI service platforms. Our contribution is threefold: First, our taxonomy systematically structures essential properties of AI service platforms, guiding future research and management practice. Second, we derive three generic motives of AI service platforms. Third, we contribute to the literature by critically discussing to what extent AI service platforms fit into the existing academic discourse on digital platforms and elaborate on future research directions.
Further data
Item Type: | Article in a book |
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Refereed: | Yes |
Keywords: | AI Service Platform; Digital Platform; Artificial Intelligence; Taxonomy |
Institutions of the University: | Faculties > Faculty of Law, Business and Economics > Department of Business Administration Research Institutions Research Institutions > Affiliated Institutes Research Institutions > Affiliated Institutes > Branch Business and Information Systems Engineering of Fraunhofer FIT Research Institutions > Affiliated Institutes > FIM Research Center for Information Management Faculties Faculties > Faculty of Law, Business and Economics |
Result of work at the UBT: | Yes |
DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 330 Economics |
Date Deposited: | 14 May 2021 09:35 |
Last Modified: | 30 Jan 2024 14:03 |
URI: | https://eref.uni-bayreuth.de/id/eprint/65186 |