Impact of organisational characteristics on turnover intention among care workers in nursing homes in Korea: a structural equation model

Aust Health Rev. 2014 Sep;38(4):425-31. doi: 10.1071/AH13204.


Objective: The aim of the present study was to analyse the impact of organisational characteristics on the turnover intention of care workers working at nursing homes in Korea.

Methods: Study participants included 504 care workers working at 14 nursing homes in Korea. The variables measured were: high-performance work practices, consisting of five subfactors (official training, employment stability, autonomy, employee participation and group-based payment); organisational commitment, consisting of three subfactors (affective, normative and continuance commitment); organisational support; and turnover intention. The inter-relationship between high-performance work practices, organisational support, organisational commitment and turnover intention and the fit of the hypothetical model were analysed using structural equation modelling.

Results: According to our analysis, high-performance work practices not only had a direct effect on turnover intention, but also an indirect effect by mediating organisational support and commitment. The factor having the largest direct influence on turnover intention was organisational commitment.

Conclusions: The results of the present study suggest that to improve health conditions for frail elderly patients at nursing homes, as well as the efficiency of nursing homes through the continuance of nursing service and enhancement of quality of service, long-term care facilities should reduce the turnover intention of care workers by increasing their organisational commitment by actively implementing high-performance work practices.

MeSH terms

  • Factor Analysis, Statistical
  • Female
  • Humans
  • Job Satisfaction*
  • Male
  • Models, Statistical
  • Nursing Homes*
  • Organizational Culture*
  • Personnel Loyalty
  • Personnel Turnover*
  • Republic of Korea
  • Surveys and Questionnaires
  • Workforce