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Artificial Intelligence as a Call for Retail Banking : Applying Digital Options Thinking to Artificial Intelligence Adoption

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: 30th European Conference on Information Systems (ECIS). - Timisoara , 2022

Project information

Project title:
Project's official titleProject's id
Projektgruppe WI Künstliche IntelligenzNo information

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
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: 09 May 2022 07:05
URI: https://eref.uni-bayreuth.de/id/eprint/69523