國立虎尾科技大學 |

Organizational Acceptance of Artificial Intelligence = Identification of AI Acceptance Factors Tailored to the German Financial Services Sector /

Record Type:	Language materials, printed : 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.
Description:	XIII, 50 p. 8 illus., 3 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Bank marketing. -
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. - 1st ed. 2020. - XIII, 50 p. 8 illus., 3 illus. in color.online resource.

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:

1202153
Bank marketing.

LC Class. No.: HG1616.M3

Dewey Class. No.: 332.17

Organizational Acceptance of Artificial Intelligence = Identification of AI Acceptance Factors Tailored to the German Financial Services Sector /
LDR:02114nam a22003855i 4500 001 1019100
003 DE-He213
005 20200714090728.0
007 cr nn 008mamaa
008 210318s2020 gw | s |||| 0|eng d
020 $a 9783658307943 $9 978-3-658-30794-3
024 7 $a 10.1007/978-3-658-30794-3 $2 doi
035 $a 978-3-658-30794-3
050 4 $a HG1616.M3
072 7 $a KNST $2 bicssc
072 7 $a BUS070140 $2 bisacsh
072 7 $a KFFK $2 thema
082 0 4 $a 332.17 $2 23
100 1 $a Bengel, Diana. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1314250
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.
250 $a 1st ed. 2020.
264 1 $a Wiesbaden : $b Springer Fachmedien Wiesbaden : $b Imprint: Springer Gabler, $c 2020.
300 $a XIII, 50 p. 8 illus., 3 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
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.
650 0 $a Bank marketing. $3 1202153
650 0 $a Information technology. $3 559429
650 0 $a Business—Data processing. $3 1253699
650 0 $a Business enterprises—Finance. $3 1253877
650 1 4 $a Financial Services. $3 1108918
650 2 4 $a IT in Business. $3 1064965
650 2 4 $a Business Finance. $3 1069042
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783658307936
776 0 8 $i Printed edition: $z 9783658307950
856 4 0 $u https://doi.org/10.1007/978-3-658-30794-3
912 $a ZDB-2-ECF
912 $a ZDB-2-SXEF
950 $a Economics and Finance (SpringerNature-41170)
950 $a Economics and Finance (R0) (SpringerNature-43720)