• Korean Journal of Environment and Ecology
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• v.32 no.5
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• pp.532-540
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• 2018

Importance-performance analysis (IPA) is a simple and effective technique that can assist practitioners in prioritizing customer attributes to enhance service quality and visitor's satisfaction. The purpose of this study is to use the IPA-Kano model to examine the correlation of visitor's satisfaction and management matters and deduce the management priority. It classifies 14 visiting satisfaction attributes into basic factors (forest environments and staff/information center), performance factors (the natural landscape, trail facilities, forest status, easy access, and historical and cultural resources), and excitement factors (the value of natural monument, educational experiences, and entrance fee) to select the management priority according to the achievement (satisfaction). The management priority according to the performance is staff/information center > easy access > forest environment > trail facilities, historical and cultural resources, forest status, and natural landscape > entrance fee and educational experience > value of natural monument. By considering their performance, it further identifies development priorities for visitor's satisfaction improvement. These priorities allow local governments to deploy scarce resources to improve satisfaction.

• The Korean Journal of Food And Nutrition
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• v.20 no.4
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• pp.516-524
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• 2007

This study was conducted to evaluate contract foodservice's websites. The survey sample consisted of students majoring in food and nutrition having good knowledge of foodservice. The questionnaire requested information related to demographics, internet usage, contract foodservice company websites, and the evaluation of the websites. The data were analyzed using SPSS for windows(version 12.0). The results are summarized as follows. From the results of the factor analysis in evaluating the contract foodservice's websites, 7 factors were generated and were defined as technology & interactivity, customer service, interface, design & convenience, contents, communication, and offering of information. Of these, technology & interactivity(p<0.05), customer service(p<0.01), interface(p<0.05), design & convenience(p<0.001), content(p<0.01), communication(p<0.01), and offering of information(p<0.01) had a significant effects in terms of the on satisfaction with a website. Since the beta of the "design & convenience" factor(0.319) was the largest, it had the greatest effect on satisfaction. In the importance performance analysis, the respondents showed high recognition on the importance, but low recognition on the performance, of aspects such as menu composition, attraction of the website, offering a FAQ section, and the operation of Q&A. Also, the importance score for 'offered relevant websites' was significantly higher than the performance score. Therefore, contract foodservice companies should take into account these aspects for improving their websites.

• Journal of the Korea Convergence Society
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• v.11 no.2
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• pp.127-137
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• 2020

This study is aimed to point out the direction for more reasonable and effective application of future digital technology in the exhibition. It's also to improve the satisfaction of visitors' overall experience through inspecting the special exhibition using digital technology in the national central museum in 2019. The relationship of visitors' expectations, experience and satisfaction are analyzed through literature investigation. Hence, four dimensions of digital experience were summarized on this basis, the content of the questionnaire was set through this research. The satisfaction of visitors to the digital technology experience was evaluated and the key contents needing to be improved were found through Importance-Performance Analysis (IPA). According to the IPA analysis, the content located in quadrant IV is analyzed emphatically, and improvement suggestions are put forward from macro-level, micro-level and viewer's inner levels. The results can be used as a reference for improving the feasibility of the current problem. In order to ensure the forward-looking and timeliness of this field, continuous research will be conducted according to the changes and developments.

• Korean journal of food and cookery science
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• v.29 no.6
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• pp.637-645
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• 2013

The purpose of this study was to investigate the consumers' selection attributes of social enterprises type cafe by IPA(Importance-Performance Analysis). Data were collected through a self-administered questionnaire by 309 random consumers in several social enterprises type cafes in Seoul and Gyonggi area. The data was analyzed using SPSS windows(ver. 17.0) for descriptive analysis, t-test, one-way ANOVA and factor analysis. The importance of cafe's selection attributes were divided into five factors including 'promotion and menu', 'service quality and atmosphere', 'location', 'taste', and 'brand name'. The mean scores of importance and performance for cafe selection attributes were 4.01 and 3.68 out of 5, showing a significant difference between importance and performance. According to the IPA results of 17 selection attributes for social enterprises type cafe, the selection attributes with relatively low performance but high importance(II quadrant) was 'easy accessibility'. The factor to be improved through the IPA was accessibility factor, showing that the consumers had a low satisfaction compared to the significance of cafe's location.

• Journal of the Korean Data and Information Science Society
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• v.16 no.4
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• pp.781-790
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• 2005

Nowaday, statistical data with coherence, accuracy and timeliness are necessary to government, company and research center for decision making or research. In other words, the importance of statistical data quality is steadily increasing. Thus, in this paper, we suggest necessity of measuring customer satisfaction with NSO products for enhancing quality. And we construct measurement scale for measuring customer satisfaction based on the statistical quality indicators. Also we advise use of structural equation model in relation analysis for statistic quality elevation.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.3_4
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• pp.431-442
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• 2002

The purpose of this study was to identify the importance of salesperson selling behavior such as salesperson's orientation, similarity with customers and expertise as well as the relationship benefits of salesperson. A total of 400 questionnaires were distributed to adults in Daegu-Kyongbuk area and 335 questionnaires were collected(84%) and 314 samples were used for the statistical analysis. The primary methods of the statistical analysis were factor analysis, confirmatory factor analysis, correlation and path analysis using LISREL 8. The results are as follows: First, clothings salesperson's customer-orientation(p < .10), expertise, similarity (p< .10) and salesperson's functional, social benefits showed positive relation with customer satisfaction. And salesperson's selling-orientation influenced customer satisfaction of salesperson negatively. In addition customer satisfaction of salesperson showed positive relation with salesperson loyalty and satisfaction of the stores. Second, the salesperson loyalty showed positive relation with store loyalty and word-of-mouth but showed negative relation with post-purchase information search. Customer satisfaction of stores showed negative relation with post-purchase information search but no meaningful relation with store loyalty and word-of-mouth.

• The Korean Journal of Community Living Science
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• v.25 no.3
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• pp.373-382
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• 2014

This study was explored the relationship of fit-related factors and, clothing evaluation criteria to clothing satisfaction. A total of 247 completed responses were obtained from a convenient sample of female students in their twenties. The statistical analysis methods included factor analysis, an ANOVA, and a multiple regression analysis. First, clothing evaluation criteria included practicality, product trait, and symbolism. Second, a comparison of clothing evaluation criteria and clothing satisfaction in groups divided by fit-related factors showed significant differences. In particular, the fat body type group showed higher level of the product trait and the thin body type group showed lower level of clothing satisfaction. The high activity group showed higher levels of clothing evaluation criteria and lower level of clothing satisfaction. Third, body type perception (-) and activity importance (-), fit-related factors, and practicality (+), clothing evaluation criterion had significant effects on clothing satisfaction. Therefore, These results suggest that fashion firms should make efficient use of fit-related factors and clothing evaluation criteria to enhance consumers' clothing satisfaction and to stimulate their purchase intention toward fashion goods.

• Journal of the Korean Society of Food Culture
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• v.22 no.2
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• pp.218-224
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• 2007

The purpose of this study was to measure the effects of value and satisfaction moderating the relationship between foodservice quality and behavioral intention. A total of 273 questionnaires were completed. Moderated regression analysis was used to measure the relationships between variables. Results of the study demonstrated that the analysis result for the data also indicated excellent model fit. The main effects of foodservice quality, value, and satisfaction on behavioral intention were statistically significant. The interaction effect of quality and satisfaction on behavioral intention was not statistically significant. The interaction effect of value and satisfaction on behavioral intention was not statistically significant. As expected, the interaction effect of quality and value on behavioral intention was statistically significant. Moreover, foodservice quality on behavioral intention was statistically significant at all levels of value and satisfaction, except for when value level was low, and satisfaction level was high. The results of this study indicated that restaurant marketers should attach importance to the interaction effect of service quality and customer value to understand the elements of market demand and customer loyalty.

• Human Ecology Research
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• v.62 no.2
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• pp.261-278
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• 2024

This study aims to enhance the life satisfaction of the elderly population in South Korea by exploring their satisfaction levels and identifying influencing factors. Utilizing data from the 17th Korean Welfare Panel, which includes 6,260 individuals aged 65 and older, this study employs independent sample t-tests, one-way ANOVA, and hierarchical regression analysis. The results showed that, in general, the life satisfaction of the elderly population was somewhat lower than that of the general adult population in all areas, except for job satisfaction and satisfaction with housing. Key factors influencing life satisfaction among the elderly population include demographic characteristics (gender, age, economic activity, residence, education level), subjective health status factors, financial factors (disposable income, monthly living expenses), and psychological factors (depression, self-esteem). Notably, psychological factors, particularly self-esteem and depression, profoundly affect all life satisfaction domains. Enhancing life satisfaction necessitates fostering positive self-perception and capabilities in the elderly population, suggesting the need for programs focused on positive emotional experiences. Moreover, depression significantly reduces life satisfaction, underscoring the importance of policy interventions to address negative emotions in this demographic. This study is expected to provide basic data for establishing concrete and effective policies for improving the quality of life for the elderly population. Additionally, by highlighting the importance of positive psychological factors, it is anticipated that the study will offer a new direction for improving the life satisfaction of the elderly population.

• Korean Journal of Community Nutrition
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• v.5 no.1
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• pp.83-91
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• 2000

The aims of this study are to evaluate the quality of hospital food services and the evaluate the quality in selected hospitals trough the use of the questionnaires. A survey of 30 hospital food and nutrition service department was undertaken and detailed information was collected from each, including, surveys of 1, 016 patient. Statistical data analysis was completed using the SAS/win 6.11 package for descriptive analysis, t-test X$^2$-test ANOVA principal component analysis , and cluster analysis and cluster analysis. In the case of patient satisfaction with hospital food and food services, overall satisfaction scores of male and female were 3.54 and 3.45 showing higher levels than the average score(3.00) The aspect of the food and food service which received the lowest ratings by patients was 'meal rounding while dining'. After conduction of factor analysis of variables affecting the patients meal satisfaction 3 groups including the 'menu satisfaction factor', 'service satisfaction factor ' and 'nutrition management satisfaction factor ' were selected. 3 clusters were categorized by the 'service cluster' 'nutrition management cluster', 'men cluster', and 'menu nutrition service cluster' after conducting a cluster analysis with influencing variables affecting patients meal satisfaction. The overview results of patient satisfaction by cluster were : in the case of the service group, such factors as taste, portion size, dealing with complaints while dining meal rounding while dining should be managed with caution In case of the nutrition management group, such factors as taste, portion size, temperature of the food intake, and dependence on hospital food should be managed with care, In the case of the menu groups, such factors as punctuality of meal times, contaminated substances in meals and serving mistakes, cleanliness of dishes, kindness of the server meal rounding while dining should by particularly managed with importance.