Towards Closing the Affordances Gap of Artificial Intelligence in Financial Service Organizations
Type
conference paper
Date Issued
2020-03
Author(s)
Abstract
Artificial Intelligence (AI) is considered being a disruptive force for existing companies and a promising avenue towards competitive advantage. A myriad of companies started investing in AI initiatives. However, a significant number of AI projects is not successfully deployed. Taking a closer look at financial service organizations, we aim at contributing to closing the gap between understanding the potential of AI and proactively leveraging the latter. We draw on affordance theory and socio-technical systems (STS) theory to identify the required socio-technical changes to actualize affordances of AI in financial service organizations. We present preliminary findings from a multiple case study approach with five financial service organizations based on rigorous interview coding that yields first insights into AI affordances. Building up on this, we will prioritize and structure future in-depth case studies to investigate how to orchestrate AI-induced changes in STS for actualizing AI affordances.
Language
English
HSG Classification
contribution to scientific community
HSG Profile Area
SoM - Business Innovation
Event Title
15th International Conference on Wirtschaftsinformatik (WI 2020)
Event Location
Potsdam, Germany
Event Date
09.03.2020
Subject(s)
Division(s)
Contact Email Address
christian.engel@unisg.ch
Eprints ID
261913
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Name
Engel_A9_WI2020 AI camera-ready.pdf
Size
621.11 KB
Format
Adobe PDF
Checksum (MD5)
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