Leading by Algorithm: Investigating User Requirements for Automated Leadership Agents
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Standard
Americas Conference on Information Systems, AMCIS 2025. The Association for Information Systems (AIS), 2025. p. 1322-1331 (Americas Conference on Information Systems, AMCIS 2025; Vol. 2).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Bibtex
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RIS
TY - CHAP
T1 - Leading by Algorithm
T2 - 2025 Americas Conference on Information Systems, AMCIS 2025
AU - Jünke, Annabel
AU - Strohmann, Timo
AU - Khosrawi-Rad, Bijan
AU - Robra-Bissantz, Susanne
N1 - Publisher Copyright: © 2025 Americas Conference on Information Systems, AMCIS 2025. All rights reserved.
PY - 2025
Y1 - 2025
N2 - Automated leadership, where AI-driven systems perform tasks traditionally handled by human leaders, is increasingly relevant in today's evolving workplace. Yet, their application in traditional organizational settings remains limited. This study explores how to design such systems for effective adoption. Drawing on semi-structured interviews with 24 German leaders and three focus groups with employees (plus a fourth focus group for validation), we identify 13 critical design requirements: personalization, transparency, fairness, co-creation, autonomous operation with human veto, no visible control function, functionality, data security, privacy, visible benefit, avatars, playfulness, and usability. These factors expand the leadership-technology acceptance model (L-TAM) by emphasizing leadership-specific requirements (e.g., personalization and fairness) and pointing to broader considerations like co-creation and data privacy. The findings offer a structured foundation for researchers and practitioners to develop automated leadership systems that enhance efficiency while maintaining user acceptance.
AB - Automated leadership, where AI-driven systems perform tasks traditionally handled by human leaders, is increasingly relevant in today's evolving workplace. Yet, their application in traditional organizational settings remains limited. This study explores how to design such systems for effective adoption. Drawing on semi-structured interviews with 24 German leaders and three focus groups with employees (plus a fourth focus group for validation), we identify 13 critical design requirements: personalization, transparency, fairness, co-creation, autonomous operation with human veto, no visible control function, functionality, data security, privacy, visible benefit, avatars, playfulness, and usability. These factors expand the leadership-technology acceptance model (L-TAM) by emphasizing leadership-specific requirements (e.g., personalization and fairness) and pointing to broader considerations like co-creation and data privacy. The findings offer a structured foundation for researchers and practitioners to develop automated leadership systems that enhance efficiency while maintaining user acceptance.
KW - AI
KW - Automated leadership
KW - conversational agents
KW - technology acceptance
KW - user requirements
UR - http://www.scopus.com/inward/record.url?scp=105025473881&partnerID=8YFLogxK
M3 - Article in conference proceedings
AN - SCOPUS:105025473881
T3 - Americas Conference on Information Systems, AMCIS 2025
SP - 1322
EP - 1331
BT - Americas Conference on Information Systems, AMCIS 2025
PB - The Association for Information Systems (AIS)
Y2 - 14 August 2025 through 16 August 2025
ER -