The Relationship between Well-Being, Quality of Life, and Work Efficiency of Don Mueang Airport’s Aviation Personnel

Abstract

This research aimed to 1) explore personal information, 2) examine well-being, 3) investigate quality of life, 4) assess the work performance of Don Mueang Airport personnel, and 5) study the relationships between well-being, quality of life, and work efficiency of Don Mueang Airport’s aviation personnel. Research Methodology: The study utilized a quantitative survey approach with questionnaire tools. The sample group consisted of 400 aviation personnel from Don Mueang Airport. Statistical methods employed included descriptive statistics such as mean, percentage, standard deviation, frequency distribution, and inferential statistics like correlation coefficients. Research Findings 1) the majority of the sample group was female, aged between 20-29 years, holding a bachelor's degree, working 8 hours per day, with an average work experience of 2 years. They reported a high level of health status with an average score of 4.054. The most significant aspects identified were 2) well-being with an average score of 4.095, 3) opinions on quality of life were at a moderate level, with an average score of 3.785. Upon closer examination, it was found that the most significant factor, ranked first, was the work environment in the performance of duties, with an average score of 3.928. 4) opinions on work efficiency were at a high level, with an average score of 4.024. Upon closer examination, it was found that the most significant factor, ranked first, was the quantity of workload, with an average score of 4.053. The research also revealed 5) a significant relationship between well-being, quality of life, and work performance at a statistically significant level of 0.05. Theoretical/Policy Implications: The findings suggest that Don Mueang Airport should utilize the research results for planning and improvement to enhance employee well-being, leading to increased job satisfaction and improved work efficiency. This could foster a positive organizational relationship, reduce turnover rates, and potentially reduce recruitment and training costs in the future.