02722nam 22005535 450 991041192810332120200714090728.03-658-30794-310.1007/978-3-658-30794-3(CKB)4100000011343514(MiAaPQ)EBC6273243(DE-He213)978-3-658-30794-3(EXLCZ)99410000001134351420200714d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierOrganizational Acceptance of Artificial Intelligence Identification of AI Acceptance Factors Tailored to the German Financial Services Sector /by Diana Bengel1st ed. 2020.Wiesbaden :Springer Fachmedien Wiesbaden :Imprint: Springer Gabler,2020.1 online resource (56 pages)3-658-30793-5 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.Bank marketingInformation technologyBusiness—Data processingBusiness enterprises—FinanceFinancial Serviceshttps://scigraph.springernature.com/ontologies/product-market-codes/626000IT in Businesshttps://scigraph.springernature.com/ontologies/product-market-codes/522000Business Financehttps://scigraph.springernature.com/ontologies/product-market-codes/512000Bank marketing.Information technology.Business—Data processing.Business enterprises—Finance.Financial Services.IT in Business.Business Finance.332.0285554Bengel Dianaauthttp://id.loc.gov/vocabulary/relators/aut897709MiAaPQMiAaPQMiAaPQBOOK9910411928103321Organizational Acceptance of Artificial Intelligence2005623UNINA