Indicators of Computer-Mediated Communication Affecting Remote Employee Engagement

Abstract

In this study, the indicators of computer-mediated communication that affect engagement among remote knowledge workers were analyzed. After con ducting 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 contri buted 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 En gagement. This study contributed to knowledge by filling the gap in current literature as no previous attempt had been made on analyzing the relation ship between engagement and the items identified here. Our findings have implications for researchers and practitioners in that they may assist in guid ing 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 re mote employees work away from their managers and colleagues and the ab sence of casual conversations that tend to provide directions or remind them of things to do could hinder their performance in the absence of self-deter minatio