可信赖性
感知
公共关系
交易型领导
光学(聚焦)
共同领导
领导力
工作(物理)
心理学
计算机科学
知识管理
社会心理学
政治学
工程类
物理
神经科学
光学
机械工程
作者
Simon Daniel Schafheitle,Antoinette Weibel,Alice Rickert
出处
期刊:Proceedings of the ... Annual Hawaii International Conference on System Sciences
日期:2021-01-01
被引量:8
标识
DOI:10.24251/hicss.2021.665
摘要
Artificial Intelligence (AI) and machine learning (ML) algorithms are changing the work in many ways. One hitherto little-studied area is how these technologies are impacting leader-employee relationships, particularly employees’ trust relationships in their “flesh-and-blood” leaders. In this paper, we discuss how algorithms change the nature of leadership when some leadership functions become automated. As a consequence, employees will often find themselves in a “two-leader-situation” with resulting frictions, that create novel leadership focus areas. Three situations, in particular, can be trust-problematic in the eyes of followers: the triad relationship might (1) make responsibilities blur, (2) create conflicting decisions of human leaders and algorithms, and (3) make employees’ voice unheard. We argue that these situations can undermine employee perceptions of leaders' trustworthiness as followers might start to question a leaders’ ability, benevolence, and integrity if leaders do not understand these novel situations.
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