Predicting telecommuting preferences and job outcomes amid COVID-19 pandemic : A latent profile analysis.
|Author(s):||Bakaç, Cafer; Zyberaj, Jetmir ; Barela, James C.|
|Title of the Journal:||Academy of Management|
|Conference:||80th Annual Meeting of the Academy of Management|
|Year of publication:||2020|
Telecommuting is defined as “a work practice that involves members of an organization substituting a portion of their typical work hours (ranging from a few hours per week to nearly full-time) to work away from a central workplace—typically principally from home —using technology to interact with others as needed to conduct work tasks”(Allen, Golden, & Shockley, 2015: 44). This kind of practice substantially differs from the regular and ordinary modes of work because employees perform their usual work in different settings, usually from home (Allen et al., 2015). Although research has been conducted on telecommuting since the 1970s, it has recently become critical when life incidents, like the COVID-19 pandemic has forced many to work from home. Such events offer rare opportunities, for a wide range of researchers and from various fields, to study important questions that would not typically be able to be asked, such as about telecommuting experiences. We took this opportunity and conducted two studies regarding telecommuting, basing our rationale on the fact that many on-site employees were forced to work from home, across a wide range of occupations as a direct result of the pandemic(Kramer & Kramer, 2020). The aim of our study, thus, was to investigate the preferences of employees who were forced to work from home. Specifically, bycreating latent profiles from important work and personality related constructs, we aimed at predicting employees’ preference for working from home or working on-site based on these profiles, and further investigate the relationship of these latent profiles to perceived productivity, job satisfaction, and job engagement.
|GND Keywords:||Telearbeit ; Covid-19 ; Pandemie ; Arbeitsergebnis ; Arbeitszufriedenheit|
|Keywords:||telecommuting, latent profile analysis, COVID-19|
|DDC Classification:||150 Psychology|
|RVK Classification:||CW 3000|
|Open Access Journal:||Ja|
|Release Date:||17. December 2020|
originated at the
University of Bamberg
University of Bamberg