Uncertainty management, transformational leadership, and job performance in an AI-powered organizational context
Uncertainty management, transformational leadership, and job performance in an AI-powered organizational context
复制标题
人工智能支持的组织环境中的不确定性管理、变革性领导和工作绩效
DOI：
10.1080/03637751.2021.1952633
复制
发表时间：
2021-07
影响因子：
2.5
通讯作者：
M. Matsunaga
中科院分区：
文献类型：
--
作者：
M. Matsunaga
摘要本研究将不确定性管理理论(TUM)与变革型领导理念(TFL)相结合，考察了人工智能(AI)技术应用的不确定性对员工的影响。在日本收集的两波数据(N=1318个员工-主管二元组)的结构方程分析表明，不确定性与员工的工作绩效负相关，而TFL与员工的工作绩效正相关。此外，与TUM一致的是，领导的数字素养被发现缓和了TFL的影响，当员工同时感到高度的不确定性和发现主管的数字素养低时，TFL与工作绩效之间的正向关联消失了。参考相关文献对这些发现进行了讨论。
ABSTRACT This study coupled the theory of uncertainty management (TUM) with the notion of transformational leadership (TFL) to examine how the uncertainty over the adoption of artificial intelligence (AI) technologies affects employees. SEM analyses with two-wave data collected in Japan (N = 1318 employee–supervisor dyads) revealed that uncertainty is negatively associated and TFL is positively associated with employees’ job performance. In addition, consistent with TUM, the digital literacy of leaders was found to moderate the effects of TFL such that the positive association between TFL and job performance disappeared when employees simultaneously feel high uncertainty and find supervisors low on digital literacy. These findings are discussed with reference to the relevant literature.