Impact of Personality Traits on Telework Satisfaction Affective Commitment and Turnover Intention Among Teleworkers

This study examined the usefulness of a six factor personality model for predicting telework satisfaction, affective commitment, and turnover intention in a secondary data analysis of 166 teleworkers. First, structural equation modeling (SEM) was used to test the fit of self-efficacy and methodicalness as first-order factors of conscientiousness. Support was not found for this model; methodicalness and selfefficacy differentially predicted the same outcome suggesting that they are distinct constructs. These results also suggested that a six factor model for personality was appropriate to use in the remaining analyses. Results from multiple regression demonstrated that the combination of personality variables significantly predicted telework satisfaction and turnover intention. Specifically, self-efficacy and methodicalness significantly positively and negatively predicted turnover intentions respectively. Also, neuroticism predicted telework satisfaction. SEM results partially supported the hypotheses. Neuroticism predicted telework satisfaction. In order to replicate the findings of the multiple regression analyses, a second structural model was tested using only methodicalness, self-efficacy, and neuroticism as predictors of turnover intentions and telework satisfaction. Results showed that self-efficacy and methodicalness predicted turnover intentions and that neuroticism predicted telework satisfaction. Both structural models showed good fit and the revised structural model did not fit the data better than the hypothesized model.

Institutions

Publication Details

Journal
ODU Digital Commons (Old Dominion University)
Published
2024-10-30
DOI
https://doi.org/10.25776/pda6-ar84
Primary Topic
Protist diversity and phylogeny
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of Personality Traits on Telework Satisfaction Affective Commitment and Turnover Intention Among Teleworkers

ODU Digital Commons (Old Dominion University)
Protist diversity and phylogeny
article

Impact of Personality Traits on Telework Satisfaction Affective Commitment and Turnover Intention Among Teleworkers

article en

Abstract

This study examined the usefulness of a six factor personality model for predicting telework satisfaction, affective commitment, and turnover intention in a secondary data analysis of 166 teleworkers. First, structural equation modeling (SEM) was used to test the fit of self-efficacy and methodicalness as first-order factors of conscientiousness. Support was not found for this model; methodicalness and selfefficacy differentially predicted the same outcome suggesting that they are distinct constructs. These results also suggested that a six factor model for personality was appropriate to use in the remaining analyses. Results from multiple regression demonstrated that the combination of personality variables significantly predicted telework satisfaction and turnover intention. Specifically, self-efficacy and methodicalness significantly positively and negatively predicted turnover intentions respectively. Also, neuroticism predicted telework satisfaction. SEM results partially supported the hypotheses. Neuroticism predicted telework satisfaction. In order to replicate the findings of the multiple regression analyses, a second structural model was tested using only methodicalness, self-efficacy, and neuroticism as predictors of turnover intentions and telework satisfaction. Results showed that self-efficacy and methodicalness predicted turnover intentions and that neuroticism predicted telework satisfaction. Both structural models showed good fit and the revised structural model did not fit the data better than the hypothesized model.

ODU Digital Commons (Old Dominion University)
Dominion University College (GH), Old Dominion University (US)
Openalex Percentile: Top 67%
Protist diversity and phylogeny
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.