Beyond Adoption: A Dynamic Model Of Generative AI User Archetypes In Information System Development Teams
Journal
European Conference on Information Systems (ECIS)
Type
conference paper
Date Issued
2026-06-15
Author(s)
Research Team
IWI6
Abstract
Generative Artificial Intelligence (GenAI) is rapidly transforming Information Systems Development (ISD), yet traditional binary adoption models fail to capture its complex, open-ended nature. To understand how ISD professionals integrate these tools, we conducted an exploratory qualitative case study at a telecommunications and software company, applying the Job Characteristics Model (JCM) and the social perspective on ISD. Our analysis identifies a framework of dynamic GenAI user archetypes driven by perceived value and depth of engagement: the Disengaged Sceptic, Cautious User, Frustrated Strategist, and Productive Optimiser. With our study, we contribute to the ISD community with an extended theoretical perspective on post-adoptive GenAI use. Additionally, we equip ISD professionals with guidelines to scale GenAI sustainably within ISD teams through targeted, non-linear adoption.
Language
English
Keywords
GenAI Adoption
Individual Adoption
Adoption Archetypes
Information Systems Development (ISD)
Social Perspective
HSG Classification
contribution to scientific community
Refereed
Yes
Publisher place
Milan, Italy
Pages
17
Event Title
European Conference on Information Systems (ECIS)
Event Location
Milan, Italy
Event Date
15.06.2026
Subject(s)
Division(s)
File(s)![Thumbnail Image]()
open.access
Name
JML_1059.pdf
Size
535.34 KB
Format
Adobe PDF
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