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농촌체험의 서비스품질이 고객만족과 추천의도에 미치는 영향
Jieun Cha,Sunghwan Yun,Junggi Kim,Chunho Song,Dongheon Jang 전북대학교 부설 휴양및경관계획연구소 2015 휴양및경관연구 (J East Asian Landscape Studies) Vol.9 No.3
농촌체험의 관심과 체험이 증가되는 상황에서 농촌체험의 지속성과 경쟁력의 확보 차원으로 서비스품질이 중요해지고 있다. 이 연구는 농촌체험을 경험한 서울지역 소비자를 대상으로 서비스품질과 고객만족, 고객만족과 추천의도 간의 관계를 분석하였다. 설문분석은 총 234부이며, 빈도분석, 신뢰도분석, 확인적 요인분석, 가설검정을 하였다. 분석결과는 다음과 같다. 첫째, 신뢰도의 크론바흐 알파값은 0.6 이상, 타당도의 요인적재량은 0.7 이상, 평균분산추출은 0.5 이상이 었다. 둘째, 확인적 요인분석의 모형적합도는, CMIN/DF, GFI, TLI, CFI, RMSEA이 전반적으로 적합하였다. 셋째, 가설검정의 결과, H1의 H1-2(유형성)와 H1-3(응답성)을 제외한 H1-1(신뢰성), H1-4(확신성), H1-5(공감성)는 고객만족 에 긍정적인 영향을 주었고, H2는 고객만족이 추천의도에 긍정적인 영향을 주었다. 따라서 농촌체험의 서비스를 이용자와 제공자 간의 상호작용으로 볼 때, 서비스품질에 대한 지속적인 개선이 필요할 것이다. Amid the growing interest and engagement in the rural experience, service quality is becoming more important to securing its sustainability and competitiveness. This study analyses the relationship among service quality, customer satisfaction, and recommendation intention for rural experience consumers in Seoul. In all, 234 survey forms were analyzed, and frequency analysis, reliability analysis, confirmatory factor analysis (CFA), and hypothesis testing were carried out. Several findings were produced. First, the Cronbach’s alpha coefficient of reliability was over 0.6, the factor loading of validity was over 0.7, and the average variance extracted (AVE) was over 0.5. Second, , CMIN/DF, GFI, TLI, CFI, and RMSEA were generally appropriate for the model fit test of confirmatory factor analysis. Third, the results of hypothesis testing showed that H1-1 (reliability), H1-4 (assurance), and H1-5 (empathy) had positive effects on customer satisfaction and that customer satisfaction had a positive effect on recommendation intention in H2. Therefore, service quality must be continuously improved in the interactions between rural experience users and providers.
차지은 ( Cha Jieun ) 병원간호사회 2016 임상간호연구 Vol.22 No.3
Purpose: The purpose of this study was to examine the effects of physical, psychological, and social factors on the health status of patients undergoing hemodialysis using longitudinal data. Methods: Two surveys were conducted within a period of two-year. A total of 75 patients participated in both surveys. Eight variables including symptoms, treatment belief, hope, meaning-focused coping, family support, friend/peer support, healthcare provider support, and health status were measured. Data were analyzed by paired t-test, Pearson`s correlation coefficients, and hierarchical multiple regressions. Results: The mean age of the participants was 47.31 and the average duration of dialysis was 8.27 years. There was no difference in scores on perceived health status between the two year-interval surveys. The two-year follow-up on perceived health status was correlated with baseline perceived health status, friend/peer support, meaning-focused coping, hope, and symptoms. As the result of the regression analysis, friends/peer support (β=.31, p=.013) and baseline perceived health status (β=.30, p=.020) were found to be significant predictors of subsequent health status which explained 39.0% of the variance. Conclusion: This study suggests the importance of psychosocial resources for positive health outcomes in patients with a chronic illness. Nursing interventions aimed to provide renal peer support need to be developed and tested.
장기 혈액투석환자의 신체적, 심리적, 사회적 요인이 질병 부담감에 미치는 영향
차지은 ( Jieun Cha ) 한국보건정보통계학회(구 한국보건통계학회) 2018 보건정보통계학회지 Vol.43 No.3
Objectives: The purpose of this study was to examine to impact of symptom severity, hope and social support on illness burden in patients undergoing long-term hemodialysis. Methods: A secondary analysis using survey data was performed for 130 patients receiving hemodialysis for more than five years. To measure illness burden, symptom severity, hope, and social support, the burden of kidney disease and the symptoms/problem list of the kidney disease quality of life short form, heath hope index, and multidimensional scale of perceived social support were utilized. Data were analyzed using descriptive statistics, t-tests, ANOVA, Pearson correlation, and hierarchical multiple regressions. Results: Illness burden scored 3.36 out of 5 points on average. There were differences in scores for illness burden according to primary disease, especially diabetic nephropathy (F=3.41, p=0.020), and monthly family income (F=3.79, p=0.025). Illness burden was positively correlated with symptom severity (r=0.40, p<0.001) and negatively correlated with hope (r=-0.33, p<0.001) and social support (r=-0.22, p=0.012). In the final multivariate regression model, symptom severity (β=0.32, p<0.001) and hope (β=-0.18, p=0.047) were significantly associated with more illness burden accounting for 23.0% for the variability. Conclusions: There is a large burden of illness in hemodialysis patients. Diabetic nephropathy could impose even larger burden on individuals. More aggressive interventions should be implemented to manage complex chronic disease and prevent diabetes. Better assessment and alleviation of patients’ symptom and positive attitude toward their illness would seem to have the potential to reduce illness burden in patients underdoing hemodialysis.