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Drivers and Inhibitors for Organizations’ Intention to Adopt Artificial Intelligence as a Service

Pandl, Konstantin D.; Teigeler, Heiner; Lins, Sebastian; Thiebes, Scott; Sunyaev, Ali

The adoption of artificial intelligence promises tremendous economic benefits for organizations. Yet, many organizations struggle to unlock the full potential of this technology. To ease the adoption of artificial intelligence for organizations, several cloud providers have begun offering artificial intelligence as a service (AIaaS). Extant research on AIaaS exhibits a strong focus on technical aspects and has opposing views on what drives or inhibits the adoption of AIaaS within organizations. In this research, we synthesize extant research on AIaaS adoption factors and conduct semi-structured interviews with practitioners. Our research yields 12 factors that drive and 13 factors that inhibit the adoption of AIaaS in practice. We thereby close a gap in scholarly knowledge on the adoption of this emerging service technology, especially on inhibiting factors, and help to guide future research on related behavioral and technical aspects.

Postprint §
DOI: 10.5445/IR/1000125948
Frei zugänglich ab 06.01.2022
Zitationen: 3
Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 05.01.2021
Sprache Englisch
Identifikator ISBN: 978-0-9981331-4-0
KITopen-ID: 1000125948
Erschienen in Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS)
Veranstaltung 54th Hawaii International Conference on System Sciences (HICSS 2021), Online, 05.01.2021 – 08.01.2021
Verlag Institute of Electrical and Electronics Engineers (IEEE)
Seiten 1769-1778
Schlagwörter Artificial Intelligence as a Service, AIaaS, Adoption
Nachgewiesen in Scopus
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