Organizational Acceptance of Artificial Intelligence

Identification of AI Acceptance Factors Tailored to the German Financial Services Sector
1. Auflage 2020
ISBN: 978-3-658-30793-6
Verlag: Springer

Buch, Englisch, 50 Seiten, Paperback, Format (B × H): 148 mm x 210 mm, Gewicht: 103 g

Reihe: Research

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.

Zielgruppe

Research

Autoren/Hrsg.

Bengel, Diana

Fachgebiete

• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensfinanzen
• Wirtschaftswissenschaften Finanzsektor & Finanzdienstleistungen Bankwirtschaft

Inhaltsverzeichnis

Introduction.- Literature Review.- Methodology of Research.- Research Findings.- Conclusion.- List of References.- Appendix.

Über Autor(innen)

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.