美容從業人員工作滿意度、工作壓力、離職傾向關聯性之研究

Abstract

本研究旨在瞭解雙北市美容從業人員工作滿意度、工作壓力、離職傾向之現況、差異及其關係。研究擬先探討國內外相關研究，以專家審查建構問卷內涵。繼之，以問卷調查方法蒐集資料，於2024年蒐集305份有效問卷。並採描述統計、單一樣本t考驗、單因子變異數分析、相關分析及複迴歸分析等方法進行分析。經由統計分析結果，獲致主要結論如下：一、工作滿意度為中上程度、工作壓力為中等程度、離職傾向為中等程度。二、工作滿意度因年齡、工作類型、婚姻狀況、工作年資、每月薪資之不同而有所差異；工作壓力因工作類型、婚姻狀況、每月薪資及公司規模之不同而有所差異；離職傾向因年齡、工作類型、持有證照、婚姻狀況、工作年資、每月薪資及公司規模之不同而有所差異。三、工作壓力與工作滿意度呈中度負相關，工作滿意度與離職傾向呈中度負相關，工作壓力與離職傾向呈高度正相關。四、複迴歸分析結果顯示，年齡40歲（含）以上、工作年資為10年以上、工作壓力、工作滿意度能有效預測離職傾向。

This study was aimed to understand the current conditions, the effects of different background, and the relationship among job satisfaction, job stress, and turnover intention for beauty practitioners in Taipei city and New Taipei city. First of all, this study was implemented by reviewing related literatures and researches, the expert review investigate were constructed the connotation of questionnaires. Then, the research data was collected by questionnaires investigation, 305 valid samples were collected in 2024. The acquired data was analyzed with statistical methods of descriptive statistics, independent sample t-test, one way analysis of variance (one way ANOVA), correlation analysis and multiple regression analysis.According to the analytical result, I was concluded that as follow:1. Job satisfaction was upper intermediate, job stress was intermediate, and turnover intention was intermediate.2. The effects of age, job type, marriage, years of service, monthly salary on Job satisfaction were statistically significant. The effects of job type, marriage, monthly salary and company size on job stress were statistically significant. The effects of age, job type, certificate, marriage, years of service, monthly salary and company size on turnover intention were statistically significant.3. There is a moderately negative correlation between job stress and job satisfaction, a moderately negative correlation between job satisfaction and turnover intention, and a highly positive correlation between job stress and turnover intention.4. The multiple regression analysis showed that age above 40 years, years of service more than 10 years, job stress, job satisfaction can effectively predict turnover intention.