Organizational Acceptance of Artificial Intelligence
Identification of AI Acceptance Factors Tailored to the German Financial Services Sector
(Sprache: Englisch)
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...
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Klappentext zu „Organizational Acceptance of Artificial Intelligence “
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.
Inhaltsverzeichnis zu „Organizational Acceptance of Artificial Intelligence “
Introduction.- Literature Review.- Methodology of Research.- Research Findings.- Conclusion.- List of References.- Appendix.Autoren-Porträt von Diana Bengel
Diana Bengel graduated at the Leeds University Business School and works for a multinational technology company. She advises German organizations about successful strategies and approaches towards Artificial Intelligence. Use cases range from AI-powered chatbots towards AI-enriched search engines and predictive planning & reporting.
Bibliographische Angaben
- Autor: Diana Bengel
- 2020, 1st ed. 2020, XIII, 50 Seiten, 3 farbige Abbildungen, Masse: 16,8 x 21,3 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3658307935
- ISBN-13: 9783658307936
Sprache:
Englisch
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