HELPING LEADERS AND EMPL HELPING LEADERS AND EMPLOYEES NAVIGATE GENERA TE GENERATIVE AI TIVE AI THROUGH SOCIOTECHNICAL REFLECTION: THE STAIR METHOD
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOpen access
Publication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOriginal language
DanishPublication milestones
- Published - 19/06/2025
Publication status
Published - 19/06/2025
Publisher
Association for Information SystemsHost publication title
ECIS 2025 TREOsAbstract
This paper presents STAIR (Sociotechnical AI Reflection), a leadership-oriented methodology for enabling responsible and participatory integration of Generative AI (GenAI) in organizational settings. Developed through an Action Design Research (ADR) project within a Danish municipality’s Communications Department, STAIR supports organizations in balancing productivity goals with employee well-being. By grounding AI integration in localized sociotechnical principles and embedding structured reflection into everyday work practices, STAIR advances a human-centered model for navigating the digital transformation of knowledge work.
Access to documents
Accepted author manuscript, 227.53 KB
License:Unspecified
Related Event
Title
European Conference on Information Systems
Event type
ConferenceDegree of recognition
International eventDate
14/06/2025 - 18/06/2025Location
JordanAmmanJordan
