Abstract

This poster abstract reports from a literature review on managerial use of AI for people leadership purposes identifying a research gap in our understanding of the lived practice of AI-usage for personnel related aspects of the leadership role in theory and practice. Although AI-assisted leadership is still in its infancy, larger corporations already adopt algorithmic leadership practices, emphasizing the need to explore and capture these developments in the expectation of widespread adoption in the (near) future. We report from the identification and analysis of a corpus of 66 research articles, identifying core themes including trust, flexibility, and correspondence with existing work tasks, pointing out limitations as well as highlighting implications for future research. We wish to ignite an all-inclusive debate on the exploration of AI-augmented leadership using our poster as a springboard for knowledge sharing and network building. We believe that the topic is interesting to both CTO-members and academy members generally. To lead traffic to our poster, small flyers will be handed out at the conference, and a short digital visitor survey will be administered to capture insights (accessible through QR code when poster is not staffed) and invite to post-poster networking.
OriginalsprogEngelsk
Publikationsdato31 mar. 2025
StatusAccepteret/In press - 31 mar. 2025
BegivenhedAcademy of Management Annual Meeting - Bella Center, Copenhagen, Danmark
Varighed: 25 jul. 202529 jul. 2025
Konferencens nummer: 85
https://aom.org/events/annual-meeting/2025-copenhagen-denmark

Konference

KonferenceAcademy of Management Annual Meeting
Nummer85
LokationBella Center
Land/OmrådeDanmark
ByCopenhagen
Periode25/07/202529/07/2025
Internetadresse

Emneord

  • Articificial Intelligence
  • AI
  • Kunstig intelligens
  • AI-understøttet ledelse
  • Ledelse
  • Personaleledelse
  • Digital dannelse
  • AI literacy
  • Human Resource Management
  • Algorithmic management
  • Responsible AI
  • algoritmisk ledelse
  • Literature Review

Citationsformater