2016
DOI: 10.1071/ah14177
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Relationship between organisational commitment and burnout syndrome: a canonical correlation approach

Abstract: Objective Burnout syndrome can significantly reduce the performance of health workers. Although many factors have been identified as antecedents of burnout, few studies have investigated the role of organisational commitment in its development. The purpose of the present study was to examine the relationships between subdimensions of burnout syndrome (emotional exhaustion, depersonalisation and personal accomplishment) and subdimensions of organisational commitment (affective commitment, continuance commitment… Show more

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Cited by 21 publications
(34 citation statements)
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“…In addition to moderating the effect of work-family conflict on burnout, organizational commitment also affects burnout significantly. This finding is in accordance with previous studies which stated that organizational commitment has a negative effect on burnout (Enginyurt, et al, 2016).…”
Section: Discussionsupporting
confidence: 94%
“…In addition to moderating the effect of work-family conflict on burnout, organizational commitment also affects burnout significantly. This finding is in accordance with previous studies which stated that organizational commitment has a negative effect on burnout (Enginyurt, et al, 2016).…”
Section: Discussionsupporting
confidence: 94%
“…It was indicated in the previous researches that voluntary turnover and low employee motivation could be predicted by affective commitment. [ 3 , 4 ]…”
Section: Introductionmentioning
confidence: 99%
“…Canonical correlation (Hotelling, 1936) is a suitable methodology for multiple dependent (criterion) and multiple independent (predictor) analysis (Daniel Shim & Lee, 2003;Enginyurt, 2016;Joo & Nimon, 2014;, was used to determine which individual independent variables would be a significant predictor of the dependent variable of performance. The process enables a linear combination of criterion variables that is maximally correlated with predictor variables (Canonical Function or pair 1) was determined to pair linear combinations having the largest correlation to all pairs uncorrelated with the initially selected pair (Canonical Function or Pair 2).…”
Section: Statistical Techniquementioning
confidence: 99%