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Predicting employee telecommuting preferences and job outcomes amid COVID-19 pandemic: a latent profile analysis

In this two-study research using latent profile analysis (LPA), we investigated intra-individual combinations of conscientiousness, autonomy, self-regulation, and extraversion. Based on these combinations, we designed profiles and explored telecommuting preferences and job outcomes of employees duri...

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Autores principales: Bakaç, Cafer, Zyberaj, Jetmir, Barela, James C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8602983/
https://www.ncbi.nlm.nih.gov/pubmed/34815637
http://dx.doi.org/10.1007/s12144-021-02496-8
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author Bakaç, Cafer
Zyberaj, Jetmir
Barela, James C.
author_facet Bakaç, Cafer
Zyberaj, Jetmir
Barela, James C.
author_sort Bakaç, Cafer
collection PubMed
description In this two-study research using latent profile analysis (LPA), we investigated intra-individual combinations of conscientiousness, autonomy, self-regulation, and extraversion. Based on these combinations, we designed profiles and explored telecommuting preferences and job outcomes of employees during the COVID-19 pandemic. In Study 1, we recruited 199 participants (77 females, ages ranging from 18 to 65). Results of this study revealed three profiles. One profile scored high on all of the variables and displayed preferences for working on-site more than the other profiles. Additionally, this profile showed higher work engagement, job satisfaction, and perceived productivity than the other two profiles. To validate these findings, we conducted a second study with a sample of 492 participants (169 females; age ranged from 18 to 65). The results yielded five profiles, one scoring high on all of the variables. Similar to Study 1, this profile exhibited higher work engagement, job satisfaction, and perceived productivity than the other four profiles. Individuals in this profile preferred to work on-site compared to individuals in other profiles. Our findings add to the research demonstrating the importance of personality characteristics for telecommuting preferences and work-related outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12144-021-02496-8.
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spelling pubmed-86029832021-11-19 Predicting employee telecommuting preferences and job outcomes amid COVID-19 pandemic: a latent profile analysis Bakaç, Cafer Zyberaj, Jetmir Barela, James C. Curr Psychol Article In this two-study research using latent profile analysis (LPA), we investigated intra-individual combinations of conscientiousness, autonomy, self-regulation, and extraversion. Based on these combinations, we designed profiles and explored telecommuting preferences and job outcomes of employees during the COVID-19 pandemic. In Study 1, we recruited 199 participants (77 females, ages ranging from 18 to 65). Results of this study revealed three profiles. One profile scored high on all of the variables and displayed preferences for working on-site more than the other profiles. Additionally, this profile showed higher work engagement, job satisfaction, and perceived productivity than the other two profiles. To validate these findings, we conducted a second study with a sample of 492 participants (169 females; age ranged from 18 to 65). The results yielded five profiles, one scoring high on all of the variables. Similar to Study 1, this profile exhibited higher work engagement, job satisfaction, and perceived productivity than the other four profiles. Individuals in this profile preferred to work on-site compared to individuals in other profiles. Our findings add to the research demonstrating the importance of personality characteristics for telecommuting preferences and work-related outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12144-021-02496-8. Springer US 2021-11-19 2023 /pmc/articles/PMC8602983/ /pubmed/34815637 http://dx.doi.org/10.1007/s12144-021-02496-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Bakaç, Cafer
Zyberaj, Jetmir
Barela, James C.
Predicting employee telecommuting preferences and job outcomes amid COVID-19 pandemic: a latent profile analysis
title Predicting employee telecommuting preferences and job outcomes amid COVID-19 pandemic: a latent profile analysis
title_full Predicting employee telecommuting preferences and job outcomes amid COVID-19 pandemic: a latent profile analysis
title_fullStr Predicting employee telecommuting preferences and job outcomes amid COVID-19 pandemic: a latent profile analysis
title_full_unstemmed Predicting employee telecommuting preferences and job outcomes amid COVID-19 pandemic: a latent profile analysis
title_short Predicting employee telecommuting preferences and job outcomes amid COVID-19 pandemic: a latent profile analysis
title_sort predicting employee telecommuting preferences and job outcomes amid covid-19 pandemic: a latent profile analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8602983/
https://www.ncbi.nlm.nih.gov/pubmed/34815637
http://dx.doi.org/10.1007/s12144-021-02496-8
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