國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Organizational acceptance of artific...

Bengel, Diana.

Organizational acceptance of artificial intelligenceidentification of AI acceptance factors tailored to the German financial services sector /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Organizational acceptance of artificial intelligenceby Diana Bengel.
其他題名:	identification of AI acceptance factors tailored to the German financial services sector /
作者:	Bengel, Diana.
出版者:	Wiesbaden :Springer Fachmedien Wiesbaden :2020.
面頁冊數:	xiii, 50 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	FinanceData processing.
電子資源:	https://doi.org/10.1007/978-3-658-30794-3
ISBN:	9783658307943$q(electronic bk.)

Organizational acceptance of artificial intelligenceidentification 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$q(electronic bk.)

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

200666
Finance
--Data processing.

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

Dewey Class. No.: 332.028563

Organizational acceptance of artificial intelligenceidentification of AI acceptance factors tailored to the German financial services sector /
LDR:01793nmm a2200325 a 4500 001 583528
003 DE-He213
005 20201110162640.0
006 m d
007 cr nn 008maaau
008 210202s2020 gw s 0 eng d
020 $a 9783658307943$q(electronic bk.)
020 $a 9783658307936$q(paper)
024 7 $a 10.1007/978-3-658-30794-3 $2 doi
035 $a 978-3-658-30794-3
040 $a GP $c GP
041 0 $a eng
050 4 $a HG4515.5 $b .B464 2020
072 7 $a KNST $2 bicssc
072 7 $a BUS070140 $2 bisacsh
072 7 $a KFFK $2 thema
082 0 4 $a 332.028563 $2 23
090 $a HG4515.5 $b .B466 2020
100 1 $a Bengel, Diana. $3 874097
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.
260 $a Wiesbaden : $b Springer Fachmedien Wiesbaden : $b Imprint: Springer Gabler, $c 2020.
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.
650 0 $a Finance $x Data processing. $3 200666
650 0 $a Artificial intelligence. $3 194058
650 0 $a Financial services industry $x Information technology. $3 340785
650 0 $a Finance $x Technological innovations $z Germany. $3 874098
650 1 4 $a Financial Services. $3 747489
650 2 4 $a IT in Business. $3 703717
650 2 4 $a Business Finance. $3 731055
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-658-30794-3
950 $a Economics and Finance (SpringerNature-41170)