Artificial Intelligence for the Financial Services Industry: What Challenges Organizations to Succeed Kruse, Luisa Wunderlich, Nico Beck, Roman 2019-01-03T00:49:03Z 2019-01-03T00:49:03Z 2019-01-08
dc.description.abstract As a research field, artificial intelligence (AI) exists for several years. More recently, technological breakthroughs, coupled with the fast availability of data, have brought AI closer to commercial use. Internet giants such as Google, Amazon, Apple or Facebook invest significantly into AI, thereby underlining its relevance for business models worldwide. For the highly data driven finance industry, AI is of intensive interest within pilot projects, still, few AI applications have been implemented so far. This study analyzes drivers and inhibitors of a successful AI application in the finance industry based on panel data comprising 22 semi-structured interviews with experts in AI in finance. As theoretical lens, we structured our results using the TOE framework. Guidelines for applying AI successfully reveal AI-specific role models and process competencies as crucial, before trained algorithms will have reached a quality level on which AI applications will operate without human intervention and moral concerns.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2019.770
dc.identifier.isbn 978-0-9981331-2-6
dc.language.iso eng
dc.relation.ispartof Proceedings of the 52nd Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subject Practice-based IS Research
dc.subject Organizational Systems and Technology
dc.subject Adoption
dc.subject Artificial Intelligence
dc.subject Financial Services
dc.subject Organizational Readiness
dc.subject TOE Framework
dc.title Artificial Intelligence for the Financial Services Industry: What Challenges Organizations to Succeed
dc.type Conference Paper
dc.type.dcmi Text
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