title: Work-life balance culture, work-home interaction, and emotional exhaustion: a structural equation modeling approach.
abstract: OBJECTIVE
  To examine the relationships among employees' emotional exhaustion, positive and negative work-home interaction, and perceived work-life balance culture in companies.
  
  
  METHODS
  Data for this study were collected through online surveys of employees from companies in the micro- and nanotechnology sectors (N = 509). A structural equation modeling analysis was performed.
  
  
  RESULTS
  A company culture perceived by employees as supportive of their work-life balance was found to have both a direct negative effect on emotional exhaustion and an indirect negative effect meditated by negative work-home interaction. In addition, whereas negative work-home interaction associated positively with emotional exhaustion, positive work-home interaction had no significant effect.
  
  
  CONCLUSIONS
  The direct and indirect relationship between work-life balance culture and emotional exhaustion has practical implications for health promotion in companies.
authors.affiliation: Institute for Medical Sociology, Health Services Research and Rehabilitation Science, Faculty of Human Science and Faculty of Medicine, University of Cologne, Cologne, Germany. Anika.Nitzsche@uk-koeln.de
authors.forename: Anika
authors.initials: A
authors.lastname: Nitzsche
authors.forename: Holger
authors.initials: H
authors.lastname: Pfaff
authors.forename: Julia
authors.initials: J
authors.lastname: Jung
authors.forename: Elke
authors.initials: E
authors.lastname: Driller
mesh_terms: D000328:Adult; D000367:Age Factors; D002055:Burnout, Professional / Q000523:psychology*; D003430:Cross-Sectional Studies; D003466:Cultural Characteristics; D005221:Fatigue / Q000523:psychology*; D005260:Female; D005858:Germany; D006801:Humans; D008019:Life Style; D008297:Male; D008875:Middle Aged; D008962:Models, Theoretical; D015999:Multivariate Analysis; D016272:Occupational Health; D011788:Quality of Life; D012044:Regression Analysis; D018570:Risk Assessment; D012737:Sex Factors; D012931:Social Environment; D013315:Stress, Psychological; D011795:Surveys and Questionnaires; D016526:Workload; D017132:Workplace / Q000523:psychology; D055815:Young Adult