디지털융복합연구 (Journal of Digital Convergence)

  • 제18권11호
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  • Pages.547-558
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  • 2020
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  • 2713-6434(pISSN)
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  • 2713-6442(eISSN)
한국디지털정책학회 (The Society of Digital Policy and Management)
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신규간호사의 감정노동, 대인관계, 이직의도와 자기효능감이 직무스트레스에 미치는 예측요인

Predictors of Emotional Labor, Interpersonal Relationship, Turnover Intention and Self-efficacy on Job Stress in New Nurses

  • Kim, Su-Hyun (Department of Nursing, Nambu University) ;
  • Kim, Ja-Sook (College of Nursing, Chonnam National University)
  • 투고 : 2020.09.15
  • 심사 : 2020.11.20
  • 발행 : 2020.11.28
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초록

본 연구는 신규간호사의 직무스트레스의 예측요인을 규명하여 중재전략을 개발하는 기초자료를 제시하고자 시도된 융합연구이다. 연구대상자는 자기 보고식 설문지를 활용하여 신규간호사 170명을 대상으로 자료 수집을 하였다. 자료 분석은 빈도, 백분율, independent t-test, ANOVA, Scheffe' test, Pearson's correlation, stepwise regression을 시행하였다. 연구 결과 신규간호사의 직무스트레스의 가장 큰 예측요인으로는 이직의도(β=.481)가 직무스트레스에 대하여 가장 중요한 변수로 나타났으며, 감정노동, 대인관계, 이직의도 3개의 설명변수의 직무스트레스(R2= .572, F=55.10, p<.001)에 대한 설명력은 57.2%였다. 이상의 결과로 직무스트레스 관리를 위해 감정노동과 대인관계능력 향상 및 조기에 이직의도를 발견하고 신규간호사의 직무스트레스를 관리하기 위한 중재프로그램 개발이 필요하며, 향후 신규간호사의 직무스트레스 예측요인 확인을 위한 반복연구가 필요하다.

This is a convergence study to investigate the factors affecting the job stress of new nurses. The subjects of this study were 170 nurses and collected data by self-reported questionnaire. Data were analyzed by descriptive statistics, indepentent t-test, ANOVA, correlation and stepwise multiple regression analysis. The results of this research were the explanatory power was 57.2% with emotional labor, interpersonal relationship and turnover intention on job stress. As a result, it was confirmed that strengthening emotional labor management ability, interpersonal relationship ability and turnover intention was important to reduce job stress. It is necessary to study repeatedly the predictors of job stress through objective measurement.

키워드

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