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

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › 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.

Original language	Danish
Title of host publication	ECIS 2025 TREOs
Number of pages	4
Publisher	Association for Information Systems
Publication date	19 Jun 2025
Publication status	Published - 19 Jun 2025
Event	European Conference on Information Systems - Jordan, Amman, Jordan Duration: 14 Jun 2025 → 18 Jun 2025 Conference number: 26 http://aisel.aisnet.org

Conference

Conference	European Conference on Information Systems
Number	26
Location	Jordan
Country/Territory	Jordan
City	Amman
Period	14/06/2025 → 18/06/2025
Internet address	http://aisel.aisnet.org

Access to Document

HELPING LEADERS AND EMPLOYEES NAVIGATE GENERATIVE AI THROUGH SOCI (1)Accepted author manuscript, 228 KBLicence: Unspecified

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

Cite this

@inproceedings{e909c13054484ceeb7ddddff2c594e91,

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. in ECIS 2025 TREOs. Association for Information Systems, European Conference on Information Systems, 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.

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

TY - GEN

T1 - HELPING LEADERS AND EMPL HELPING LEADERS AND EMPLOYEES NAVIGATE GENERA TE GENERATIVE AI TIVE AI THROUGH SOCIOTECHNICAL REFLECTION: THE STAIR METHOD

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

ER -