Uncertainty management, transformational leadership, and job performance in an AI-powered organizational context

IF 3.1 2区 文学 Q1 COMMUNICATION Communication Monographs Pub Date : 2021-07-12 DOI:10.1080/03637751.2021.1952633
M. Matsunaga
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引用次数: 7

Abstract

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.
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人工智能驱动的组织环境中的不确定性管理、转型领导力和工作绩效
摘要本研究将不确定性管理理论(TUM)与变革型领导概念(TFL)相结合,考察了人工智能技术应用的不确定性对员工的影响。用日本收集的两波数据进行SEM分析(N = 1318名员工-主管二人组)显示,不确定性与员工的工作表现呈负相关,TFL与员工的表现呈正相关。此外,与TUM一致,领导者的数字素养被发现可以调节TFL的影响,因此,当员工同时感到高度不确定性,并发现主管的数字素养较低时,TFL与工作绩效之间的正相关关系消失了。这些发现将参考相关文献进行讨论。
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来源期刊
Communication Monographs
Communication Monographs COMMUNICATION-
CiteScore
5.40
自引率
0.00%
发文量
12
期刊介绍: Communication Monographs, published in March, June, September & December, reports original, theoretically grounded research dealing with human symbolic exchange across the broad spectrum of interpersonal, group, organizational, cultural and mediated contexts in which such activities occur. The scholarship reflects diverse modes of inquiry and methodologies that bear on the ways in which communication is shaped and functions in human interaction. The journal endeavours to publish the highest quality communication social science manuscripts that are grounded theoretically. The manuscripts aim to expand, qualify or integrate existing theory or additionally advance new theory. The journal is not restricted to particular theoretical or methodological perspectives.
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