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Organizational Acceptance of Artificial Intelligence

Identification of AI Acceptance Factors Tailored to the German Financial Services Sector

  • Book
  • © 2020

Overview

Authors:
  1. Diana Bengel

    1. Herrenberg, Germany

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Table of contents (5 chapters)

  1. Front Matter

    Pages i-xiii
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  2. Introduction

    • Diana Bengel
    Pages 1-3

  3. Literature Review

    • Diana Bengel
    Pages 5-17

  4. Methodology of Research

    • Diana Bengel
    Pages 19-25

  5. Research Findings

    • Diana Bengel
    Pages 27-38

  6. Conclusion

    • Diana Bengel
    Pages 39-41

  7. Back Matter

    Pages 43-50
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Keywords

About this book

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.

Authors and Affiliations

  • Herrenberg, Germany

    Diana Bengel

About the author

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.

Bibliographic Information

  • Book Title: Organizational Acceptance of Artificial Intelligence

  • Book Subtitle: Identification of AI Acceptance Factors Tailored to the German Financial Services Sector

  • Authors: Diana Bengel

  • DOI: https://doi.org/10.1007/978-3-658-30794-3

  • Publisher: Springer Gabler Wiesbaden

  • eBook Packages: Economics and Finance, Economics and Finance (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2020

  • Softcover ISBN: 978-3-658-30793-6Published: 15 July 2020

  • eBook ISBN: 978-3-658-30794-3Published: 14 July 2020

  • Edition Number: 1

  • Number of Pages: XIII, 50

  • Number of Illustrations: 5 b/w illustrations, 3 illustrations in colour

  • Topics: Financial Services, IT in Business, Business Finance

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