Organizational Acceptance of Artificial Intelligence : Identification of AI Acceptance Factors Tailored to the German Financial Services Sector / by Diana Bengel
| Publisher | (Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Gabler) |
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| Year | 2020 |
| Edition | 1st ed. 2020. |
| Authors | *Bengel, Diana author SpringerLink (Online service) |
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| Links to the text | Location | Volume | Call No. | Barcode No. | Status | Comments | ISBN | Printed | Restriction | Reserve |
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| Links to the text | Library Off-campus access |
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OB00173985 | Springer Economics and Finance eBooks (電子ブック) | 9783658307943 |
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| Material Type | E-Book |
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| Media type | 機械可読データファイル |
| Size | XIII, 50 p. 8 illus., 3 illus. in color : online resource |
| Notes | 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 HTTP:URL=https://doi.org/10.1007/978-3-658-30794-3 |
| Subjects | LCSH:Financial services industry LCSH:Business information services LCSH:Business enterprises—Finance FREE:Financial Services FREE:IT in Business FREE:Corporate Finance |
| Classification | LCC:HG1501-3550 DC23:332.17 |
| ID | 8000068453 |
| ISBN | 9783658307943 |
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