HELPING LEADERS AND EMPL HELPING LEADERS AND EMPLOYEES NAVIGATE GENERA TE GENERATIVE AI TIVE AI THROUGH SOCIOTECHNICAL REFLECTION: THE STAIR METHOD

Louise Harder Fischer; Sanna Marttila

HELPING LEADERS AND EMPL HELPING LEADERS AND EMPLOYEES NAVIGATE GENERA TE GENERATIVE AI TIVE AI THROUGH SOCIOTECHNICAL REFLECTION: THE STAIR METHOD

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

Abstract

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.

Originalsprog	Dansk
Titel	ECIS 2025 TREOs
Antal sider	4
Forlag	Association for Information Systems
Publikationsdato	19 jun. 2025
Status	Udgivet - 19 jun. 2025
Begivenhed	European Conference of Information Systems 2025 - Jordan, Amman, Jordan Varighed: 14 jun. 2025 → 18 jun. 2025 Konferencens nummer: 26 http://aisel.aisnet.org

Konference

Konference	European Conference of Information Systems 2025
Nummer	26
Lokation	Jordan
Land/Område	Jordan
By	Amman
Periode	14/06/2025 → 18/06/2025
Internetadresse	http://aisel.aisnet.org

Emneord

Generative AI
Sociotechnical Design
Action Design Research
STAIR Method

Adgang til dokumentet

HELPING LEADERS AND EMPLOYEES NAVIGATE GENERATIVE AI THROUGH SOCI (1)Accepteret manuskript, 228 KBLicens: Ikke-specificeret

https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1031&context=treos_ecis2025

Citationsformater

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title = "HELPING LEADERS AND EMPL HELPING LEADERS AND EMPLOYEES NAVIGATE GENERA TE GENERATIVE AI TIVE AI THROUGH SOCIOTECHNICAL REFLECTION: THE STAIR METHOD",

abstract = "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{\textquoteright}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. ",

keywords = "Generative AI, Sociotechnical Design, Action Design Research, STAIR Method",

author = "Fischer, \{Louise Harder\} and Sanna Marttila",

year = "2025",

month = jun,

day = "19",

language = "Dansk",

booktitle = "ECIS 2025 TREOs",

publisher = "Association for Information Systems",

note = "European Conference of Information Systems 2025, ECIS 2025 ; Conference date: 14-06-2025 Through 18-06-2025",

url = "http://aisel.aisnet.org",

}

Fischer, LH & Marttila, S 2025, HELPING LEADERS AND EMPL HELPING LEADERS AND EMPLOYEES NAVIGATE GENERA TE GENERATIVE AI TIVE AI THROUGH SOCIOTECHNICAL REFLECTION: THE STAIR METHOD. i ECIS 2025 TREOs. Association for Information Systems, European Conference of Information Systems 2025, Amman, Jordan, 14/06/2025. <https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1031&context=treos_ecis2025>

HELPING LEADERS AND EMPL HELPING LEADERS AND EMPLOYEES NAVIGATE GENERA TE GENERATIVE AI TIVE AI THROUGH SOCIOTECHNICAL REFLECTION: THE STAIR METHOD. / Fischer, Louise Harder ; Marttila, Sanna.
ECIS 2025 TREOs. Association for Information Systems, 2025.

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

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AU - Fischer, Louise Harder

AU - Marttila, Sanna

N1 - Conference code: 26

PY - 2025/6/19

Y1 - 2025/6/19

N2 - 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.

AB - 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.

KW - Generative AI

KW - Sociotechnical Design

KW - Action Design Research

KW - STAIR Method

M3 - Konferencebidrag i proceedings

BT - ECIS 2025 TREOs

PB - Association for Information Systems

T2 - European Conference of Information Systems 2025

Y2 - 14 June 2025 through 18 June 2025

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