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Predicting employee telecommuting preferences and job outcomes amid COVID-19 pandemic: a latent profile analysis
Cafer Bakaç1, Jetmir Zyberaj2, James C Barela3
1Arcisstraße 21, D-80333 Munich, Germany Chair of Psychology, TUM School of Management, Technical University Munich.
Abstract:
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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