战略领导
相互依存
知识管理
战略规划
核心竞争力
业务
领导风格
公共关系
高阶理论
共同领导
扎根理论
领导力研究
心理学
管理
战略思维
领导理论
芯(光纤)
交易型领导
集合(抽象数据类型)
战略管理
领导力
技能管理
社会学
中层管理人员
政治学
神经领导
作者
Simone Bevilacqua,Alberto Ferraris,Kurt Matzler,Michal Kuděj
标识
DOI:10.1016/j.jbusres.2025.115878
摘要
As artificial intelligence (AI) becomes a core driver of organizational digital transformation, several studies emphasize the critical role of top managers. While prior research has examined the skills at the top levels in digital contexts, few studies differentiate the implications of diverse AI technologies for the strategic leadership skills of top managers. Drawing on upper echelons theory (UET), we conducted 23 interviews with senior executives across diverse industries. Our findings identify four interdependent leadership skills: 1) AI open mindset; 2) AI strategic co-thinker; 3) Multi-level connector; 4) Ethics risk management. We propose a multi-level framework that captures the interactive nature of these skills, operating across personal, organizational, and relational dimensions and shaped by top-down and bottom-up dynamics. The study, grounded in UET, contributes to the emerging debate on how AI reshapes top managers’ strategic leadership skills and introduces the enabling role of middle managers in AI transformation.
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