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Organizational acceptance of artific...

Bengel, Diana.

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Organizational acceptance of artificial intelligence = identification of AI acceptance factors tailored to the German financial services sector /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Organizational acceptance of artificial intelligence/ by Diana Bengel.
Reminder of title:	identification of AI acceptance factors tailored to the German financial services sector /
Author:	Bengel, Diana.
Published:	Wiesbaden :Springer Fachmedien Wiesbaden : : 2020.,
Description:	xiii, 50 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Literature Review -- Methodology of Research -- Research Findings -- Conclusion -- List of References -- Appendix.
Contained By:	Springer Nature eBook
Subject:	Finance - Data processing. -
Online resource:	https://doi.org/10.1007/978-3-658-30794-3
ISBN:	9783658307943

Organizational acceptance of artificial intelligence = identification of AI acceptance factors tailored to the German financial services sector /
Bengel, Diana.

Organizational acceptance of artificial intelligenceidentification of AI acceptance factors tailored to the German financial services sector /[electronic resource] :by Diana Bengel. - Wiesbaden :Springer Fachmedien Wiesbaden :2020. - xiii, 50 p. :ill., digital ;24 cm.

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

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.

ISBN: 9783658307943

Standard No.: 10.1007/978-3-658-30794-3doiSubjects--Topical Terms:

657417
Finance
--Data processing.

LC Class. No.: HG4515.5 / .B464 2020

Dewey Class. No.: 332.028563

Organizational acceptance of artificial intelligence = identification of AI acceptance factors tailored to the German financial services sector /
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245 1 0 $a Organizational acceptance of artificial intelligence $h [electronic resource] : $b identification of AI acceptance factors tailored to the German financial services sector / $c by Diana Bengel.
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300 $a xiii, 50 p. : $b ill., digital ; $c 24 cm.
505 0 $a Introduction -- Literature Review -- Methodology of Research -- Research Findings -- Conclusion -- List of References -- Appendix.
520 $a 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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