Organizational Acceptance of Artificial Intelligence : Identification of AI Acceptance Factors Tailored to the German Financial Services Sector

by Diana Bengel

The book investigates the determinants which are influencing the acceptance of artificial intelligence (AI) in an organizational context, focusing on the German financial services industry. An AI-specific acceptance model is being developed based on technology acceptance models as well as being enriched with practical insights from industry experts. Ultimately, the acceptance of artificial intelligence is influenced by multiple, interrelated variables, which can be classified into five major dimensions: organizational, individual, financial, technological and societal factors.

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Year of publication:	2020 ; 1st ed. 2020.
Authors:	Bengel, Diana
Publisher:	2020.: Wiesbaden : Springer Fachmedien Wiesbaden 2020.: Wiesbaden : Imprint: Springer Gabler
Subject:	Künstliche Intelligenz \| Artificial intelligence \| Innovationsakzeptanz \| Innovation adoption \| Finanzsektor \| Financial sector \| Deutschland \| Germany
Description of contents:	Introduction -- Literature Review -- Methodology of Research -- Research Findings -- Conclusion -- List of References -- Appendix.

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Extent:	1 Online-Ressource(XIII, 50 p. 8 illus., 3 illus. in color.)
Series:	Springer eBook Collection
Type of publication:	Book / Working Paper
Language:	English
ISBN:	978-3-658-30794-3 ; 978-3-658-30793-6 ; 978-3-658-30795-0
Other identifiers:	10.1007/978-3-658-30794-3 [DOI]
Classification:	Betriebliche Information und Kommunikation ; Geld, Inflation, Kapitalmarkt
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10012399604