AI Leadership: Investigating the Discrepancy between Perceived and Actual Effectiveness
Loading...
Files
Date
Authors
Contributor
Advisor
Editor
Performer
Department
Instructor
Depositor
Speaker
Researcher
Consultant
Interviewer
Interviewee
Narrator
Transcriber
Annotator
Journal Title
Journal ISSN
Volume Title
Publisher
Journal Name
Volume
Number/Issue
Starting Page
1738
Ending Page
Alternative Title
Abstract
Traditional leadership research assumes leadership decisions rest with humans. This article posits that generative AI (genAI), which creates content or predicts outcomes from data, has significant potential for leadership in the future of work. We examine genAI’s contribution to leadership through an online experiment with critical (n=304) leadership scenarios, assessing genAI versus human leadership. Additionally, we explore leader acceptance of AI leadership through another online experiment (n=301). Results indicate leaders prefer AI-generated decisions when the source is unknown but favor human leaders when identities are disclosed. Our findings highlight a preference for human leaders despite recognizing AI’s potential effectiveness, suggesting that a purely AI-based or human-based approach is insufficient. Future research should explore an AI-supported leadership model integrating AI-generated insights with human decision-making to enhance both decision-making and follower acceptance in the evolving workplace.
Description
Citation
Extent
10
Format
Type
Conference Paper
Geographic Location
Time Period
Related To
Proceedings of the 58th Hawaii International Conference on System Sciences
Related To (URI)
Table of Contents
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International
Rights Holder
Catalog Record
Local Contexts
Collections
Email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.
