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Indicators of Computer-Mediated Communication Affecting Remote Employee Engagement

机译:影响远程员工参与的计算机导通沟通指标

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In this study, the indicators of computer-mediated communication that affect engagement among remote knowledge workers were analyzed. After conducting an online survey of 133 remote knowledge workers in the U.S., a multiple regression statistical model was used to answer the research question seeking the extent to which empathy, expressiveness, and motivation contributed to remote employee engagement. Our findings suggested the existence of a statistically significant relationship between the independent variables Empathy, Expressiveness, and Motivation, and the dependent variable Engagement. This study contributed to knowledge by filling the gap in current literature as no previous attempt had been made on analyzing the relationship between engagement and the items identified here. Our findings have implications for researchers and practitioners in that they may assist in guiding future research and work design for remote knowledge workers in the digital and pandemic era. This study can help managers identify remote workers who need the most help. This comes from the observation that remote employees work away from their managers and colleagues and the absence of casual conversations that tend to provide directions or remind them of things to do could hinder their performance in the absence of self-determination.
机译:在这项研究中,分析了影响偏远知识工作者参与的计算机导介通信的指标。在对美国的133名远程知识工作者进行了在线调查后,使用了多元回归统计模型来回答研究问题,寻求同情,表现力和动机的程度导致远程员工参与作出贡献。我们的研究结果表明,在独立变量同情,表现力和动机和依赖变量接触之间存在统计上显着的关系。这项研究通过填补当前文献中的差距,因为没有先前的尝试,以分析参与之间的关系和这里识别的物品。我们的调查结果对研究人员和从业者产生了影响,因为他们可以协助指导数字和大流行时代的远程知识工作者的未来研究和工作设计。本研究可以帮助管理人员确定需要最多帮助的偏远工人。这是从观察到远程员工远离他们的经理和同事,并且没有随意的谈话,往往会提供方向或提醒他们要做的事情可能会在没有自决的情况下妨碍他们的表现。

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