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

By:

Bengel, Diana [VerfasserIn]

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Springer eBook CollectionPublisher: Wiesbaden : Springer Fachmedien Wiesbaden, 2020Publisher: Wiesbaden : Imprint: Springer Gabler, 2020Edition: 1st ed. 2020Description: 1 Online-Ressource(XIII, 50 p. 8 illus., 3 illus. in color.)ISBN:

9783658307943

Subject(s):

Additional physical formats: 9783658307936 | 9783658307950 | Erscheint auch als: 9783658307936 Druck-Ausgabe | Erscheint auch als: 9783658307950 Druck-Ausgabe | Erscheint auch als: Organizational acceptance of artificial intelligence. Druck-Ausgabe Wiesbaden : Springer Gabler, 2020. xiii, 50 SeitenDDC classification:

332.17 23

DOI: DOI: 10.1007/978-3-658-30794-3Online resources:

Summary: Introduction -- Literature Review -- Methodology of Research -- Research Findings -- Conclusion -- List of References -- Appendix.Summary: 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.PPN: PPN: 1726033023Package identifier: Produktsigel: ZDB-2-ECF | ZDB-2-SEB | ZDB-2-SXEF

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