Title data
Fridgen, Gilbert ; Hartwich, Eduard ; Rägo, Vadim ; Rieger, Alexander ; Stohr, Alexander:
Artificial Intelligence as a Call for Retail Banking : Applying Digital Options Thinking to Artificial Intelligence Adoption.
In:
Proceedings of the 30th European Conference on Information Systems (ECIS). -
Timișoara, Romania
,
2022
Project information
Project title: |
Project's official title Project's id Projektgruppe WI Künstliche Intelligenz No information |
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Abstract in another language
Technology-driven challenges, both existing and emerging, require banks to invest in IT capabilities, especially in artificial intelligence (AI). Digital options theory presents a valuable guide rail for these investments. However, the nature of AI as a moving frontier of computing requires certain extensions to established digital option thinking. Based on interviews with 23 experts in the retail banking industry, we highlight the importance of thinking broadly when laying the foundation for AI options and being mindful of the dynamic effects of contextual factors. Drawing from digital options theory and the Technology-Organization-Environment framework as dual lens, our study adds a structured approach to consciously balance resources and AI-related capability investments with a broader consideration of the banking industry’s complex environment. In this way, our study complements recent research on the interplay between incumbents’ resources and digital opportunities.
Further data
Item Type: | Article in a book |
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Refereed: | Yes |
Keywords: | Artificial Intelligence; Digital Options; Retail Banking; Technology-Organization-Environment Framework |
Institutions of the University: | Faculties > Faculty of Law, Business and Economics > Department of Business Administration Research Institutions Research Institutions > Affiliated Institutes Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management Faculties Faculties > Faculty of Law, Business and Economics |
Result of work at the UBT: | Yes |
DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 330 Economics |
Date Deposited: | 03 May 2022 07:56 |
Last Modified: | 04 Aug 2022 07:04 |
URI: | https://eref.uni-bayreuth.de/id/eprint/69523 |