Hybrid human–AI leadership: exploring the influence of leadership structure on leadership effectiveness and neural activation.
Although AI is increasingly assuming autonomous managerial roles within organisations, its leadership effectiveness relative to that of human managers remains lacking. Additionally, AI and humans possess distinct strengths in managerial tasks, suggesting the potential of collaborative human–AI leade...
| Publicado en: | Behaviour & Information Technology Vol. 45; no. 6; pp. 1007 - 1030 |
|---|---|
| Autores principales: | , |
| Formato: | diagnostic images pictorial research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Apr2026
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=192771834&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 192771834 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 0144929X B6Q jtl: Behaviour & Information Technology issn: 0144929X maglogo: Y pubinfo: dt: Apr2026 vid: 45 iid: 6 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 192771834 187301085 192771834 192771834 10.1080/0144929X.2025.2545310 192771834 ppf: 1007 ppct: 23 formats: tig: atl: Hybrid human–AI leadership: exploring the influence of leadership structure on leadership effectiveness and neural activation. aug: au: Lai, Xiaojun Rau, Pei-Luen Patrick affil: Department of Industrial Engineering, Tsinghua University, Beijing, People's Republic of China sug: subj: Artificial Intelligence Leadership User-Computer Interface Methods Collaboration Task Performance and Analysis Neurons Physiology Organizational Structure Human Funding Source China Male Female Adolescence Adult Colleges and Universities Questionnaires Scales Kruskal-Wallis Test Wilcoxon Rank Sum Test T-Tests One-Way Analysis of Variance Post Hoc Analysis Repeated Measures Analysis of Variance Multivariate Analysis of Variance Data Analysis Software User-Computer Interface Brain Physiology Neuroradiography Methods Organizational Efficiency Leaders Psychosocial Factors Decision Making Adolescent: 13-18 years Adult: 19-44 years Male Female ab: Although AI is increasingly assuming autonomous managerial roles within organisations, its leadership effectiveness relative to that of human managers remains lacking. Additionally, AI and humans possess distinct strengths in managerial tasks, suggesting the potential of collaborative human–AI leadership. This study explored the effects of hybrid human–AI leadership on task performance, subjective experience, and neural activation, with the following leadership structures: human only, AI only, human–AI cooperation, and AI supporting human. A total of 80 participants carried out quality inspection tasks led by a human or AI leader under the above structures, with 20 participants randomly assigned to each of the four groups. The results revealed consistent levels of leadership effectiveness between the human-only and AI-only groups, suggesting that AI management could potentially match traditional human management. In addition, the leadership effectiveness was comparable between the human–AI cooperation and AI supporting human groups, indicating the equal viability of these configurations for human–AI collaborative leadership. The human–AI collaborative leadership did not significantly enhance leadership effectiveness compared to the single-leader conditions. The human–AI cooperation group exhibited higher ventrolateral prefrontal cortex activation during AI leader speech, which was likely owing to greater engagement with information processing in the task guidance and performance evaluation. pubtype: Academic Journal doctype: diagnostic images pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|