Titlebar

Export bibliographic data
Literature by the same author
plus on the publication server
plus at Google Scholar

 

Gateways to Artificial Intelligence : Developing a Taxonomy for AI Service Platforms

Title data

Geske, Flora ; Hofmann, Peter ; Lämmermann, Luis ; Schlatt, Vincent ; Urbach, Nils:
Gateways to Artificial Intelligence : Developing a Taxonomy for AI Service Platforms.
2021
Event: 29th European Conference on Information Systems (ECIS) , 14.-16. Juni 2021 , Marrakesh, Morocco.
(Conference item: Conference , Paper )

Official URL: Volltext

Project information

Project title:
Project's official titleProject's id
Projektgruppe WI Künstliche IntelligenzNo information

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: Conference item (Paper)
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 > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & 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: 10 Sep 2021 05:13
URI: https://eref.uni-bayreuth.de/id/eprint/65186