• Culinary science and hospitality research
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• v.21 no.6
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• pp.38-48
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• 2015

This study examined the factors that affect the relationship between dessert cafe customer attribute election, relationship quality and behavioral intention. A total of 260 questionnaires were distributed to consumers, of which 250 were deemed suitable for analysis after the removal of 10 unusable responses. In order to perform statistical analyses required by the study, the SPSS 18.0 Statistical Program was employed for frequency analysis, factor analysis, reliability analysis, correlation, and regression analysis. The results of the exploratory factor analysis showed that three factors regarding attributes selection were extracted from all measurements with a KMO of 0.757 and a total cumulative variance of 67.885%, With regard to relationship quality, three factors were extracted with a total cumulative variance of 76.070% and a KMO score of 0.715. One factor for behavioral intention was extracted that accounted for a total cumulative variance of 66.254% and a KMO score of 0.771. All factors were significant to 0.000 and the correlation between variables was significant. Thus, based on the results, the main research hypothesis that identifies the relationships attributes selection between relationship quality and behavioral intention was partially adopted.

• Culinary science and hospitality research
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• v.12 no.2 s.29
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• pp.88-105
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• 2006

Entering into the new millennium, the Korean wine market has recorded the highest growth rate among the domestic alcoholic beverage market and been recognized as a rapidly emerging market with further escalation potential. Responding to the current drastic escalation of Korean wine market in terms of its volume, the present study scrutinizes the considerable wine-selection attributes that are related to individual wine consumer‘s characteristics including demographic variables. These attributes are also expected to be precursors of wine consumers‘ satisfaction. ANOVA results suggest that each demographical variable-gender, age, income level, and the frequency of wine consumption-pertains to specific wine-selection attribute(s). Likewise, wine consumers‘ characteristics are also associated with those attributes. As wine consumers are experienced, they rely less on information; rather, their selections tend to be dependent upon quality, value, contexts, and preferences. The subsequent multiple-regression investigating the relationship between wine-selection attributes and satisfaction signifies that quality, contexts, and preference attributes are the substantial antecedents of wine consumers‘ satisfaction. When consumers purchase a wine, "information on purchase" was the most important criterion for the Newcomers and the Outsiders, while the Connoisseurs mainly depended on "marketability", "wine values" and "viticulture environment". "Preference" attributes influenced the Aspirants the most in buying decision. The Newcomers and the Outsiders need more information before deciding to purchase as their wine knowledge was very limited. The Connoisseurs were likely to consider the quality as a more important factor than the price and it is necessary to develop high quality wine at a reasonable price in order to attract this group.

• Culinary science and hospitality research
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• v.16 no.5
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• pp.79-91
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• 2010

The purpose of this study is to investigate selection attributes of Korea and China restaurants in China. By a convenience sampling method, total 479(245 China restaurants and 234 Korea restaurants) useable data were selected. Multiple statistical methods(factor analysis, reliability analysis, T-test, multiple regression) were used to analyze the data. The results are as follows: First, restaurant satisfaction is affected by selection restaurant attribute factors. Second, restaurant satisfaction bas a significant impact on customer loyalty. Third, Korea and China restaurants have differences in customer satisfaction. Fourth, Korea and China restaurants have differences in customer loyalty.

• The Journal of the Korea Contents Association
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• v.20 no.2
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• pp.424-434
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• 2020

The purpose of this study is to investigate the effects of selection factors which include accessibility, trade area, spatiality, convenience, reliability, assurance on satisfaction. Also, the relationship among satisfaction, conversion cost, and reuse intention was examined. The survey was conducted for college students who had used coffee shops in the last month and 247 copies were used for the analysis. The study model was analyzed by the basic statistical analysis, factor analysis, reliability analysis, and structural model analysis using SPSS 18.0 and AMOS 18.0. As a result of analysis, it was confirmed that customer satisfaction was influenced by factors in order of assurance, accessibility, commerciality, reliability, and spatiality. Also, satisfaction and conversion cost have a significant effect on reuse intention. The result shows that the satisfaction of selection factors increases student customer's behavioral intentions and ultimately contributes to the improvement of coffee shop performance. Therefore, a coffee shop targeting college students needs a lot of interest in the taste of coffee, price, various menus and accessibility, trade area, and large space.

• Culinary science and hospitality research
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• v.19 no.5
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• pp.296-311
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• 2013

This study aims to show basic data to build suitable marketing strategies for consumers by determining the motivation and selection attributes of HMR according to their lifestyles. A survey was conducted from March 1st to March 30th, 2013, and total 362 out of 450 copies of questionnaire were used for analysis. The results are as follows. First, it showed that the pursuit of health in lifestyle had a significant effect on usefulness and economical efficiency. Next, the pursuit of health was analyzed not to have a significant effect on HMR quality and convenience. Third, usefulness and economical efficiency in the category of motives for purchasing HMR didn't have any significant effect on repurchase intention. Finally, HMR quality and convenience in the selection attributes of HMR had a significant effect on repurchase intention.

• Korea Journal of Hospital Management
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• v.23 no.4
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• pp.40-52
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• 2018

The purpose of this study is to identify medical consumers' hospital selection factors in response to the rapidly changing environment of medical industry. For that purpose this study classified consumers' hospital selection factors into three categories such that human factors including expertise, reliability, empathy; system factor including, convenience, differentiation, efficiency; and facility factor including tangibility, accessibility, and location, based on the previous studies and the results of a preliminary survey of the patients of a small private hospital. The nine factors were further divided into 23 more specific attributes. Then, an online survey was conducted to measure the perceptions of the 23 attributes by the medical consumers over the age of 20. The analysis of the survey data using Kano model and Timko model indicated that 14 of the 23 attributes were classified as attractive factors, eight attributes were or classified as, one-dimensional factors, and one attribute, doctors' educational background, was classified as indifference factor. Of the 14 attractive factors, "unique and differentiated services related to medical treatment" and "distance from home to hospital" had the highest customer satisfaction coefficients. Of the eight one-dimensional factors, "kind treatment," "providing adequate explanations," "accuracy of diagnosis," and "cleanness of facilities" had the highest customer satisfaction coefficients as well as the highest dissatisfaction coefficients. The findings indicate that these six attributes are the most basic and most impactful attributes that hospitals must manage strategically to improve their service quality and attract more medical consumers to their hospitals.

• The Korean Journal of Franchise Management
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• v.10 no.2
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• pp.49-58
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• 2019

Purpose - As the growth potential of the cultural contents industry steadily grows, the cinemas industry is growing fast especially due to popularity and commerciality. The recent in the cinemas industry is evolving on multiplex cinemas that combine cultural facilities such as theaters, restaurants, and shopping centers. Due to the rapid growth of multiplex cinemas, many researchers have studied the characteristics of visiting customers in Korea. Among them, selection attribute of multiplex cinemas, including the service quality and physical environment, is important because it may examines the cause of customer 's behavior. Thus, this research focuses on the effects of the selection attributes of the multiplex cinemas on customer satisfaction and their loyalty. This research suggests the guidelines for how cinemas should manage their customers and build their customers satisfaction and loyalty that improve business performance. Research design, data, and methodology - This study tests the structural relationship between selection attributes of multiplex cinemas, customer satisfaction, and loyalty. selection attributes of multiplex cinemas divide into five sub-dimensions such as movies facility quality, services, cleanliness, accessibility, and snack bars quality. In order to examine the purposes of this research, research model and hypotheses were developed. All constructs were measured with multiple items developed and tested in the previous studies. The data were collected from 100 students in their 10-20s and were analyzed using SPSS 22.0, SmartPLS 3.0 and fsQCA program. Result - The findings of this research are as follows. First, all selection attributes except cleanliness have significant positive impacts on customer satisfaction and loyalty. Second, customer satisfaction has significant positive impact on loyalty. Third, as a result of fsQCA, high satisfaction and high accessibility were the necessary conditions on loyalty. Fourth, the necessary conditions for male and female groups were different. Conclusions - The implications of this study are as follows. Overall, multiplex cinemas should manage selection attributes basically regardless of the type of theater. Especially, cleanliness was not significant, but the customer probably consider it an essential and basic factors. Also, they are able to manage the selection attributes differently depending on the type of gender. For the male customers, it is effective that centralized strategy and for female customers, it is effective that emphasized the multiplex cinemas image.

• Journal of the Korean Institute of Landscape Architecture
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• v.41 no.6
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• pp.29-42
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• 2013

The purpose of this study was to derive selection attribute of fishing experience villages, and to analyze the importance and performance on targeting experts and experienced tourists. Consequently, it could suggest implications for the guideline and the evaluation criteria of making fishing experience villages for the revitalization of eco experience tourism. Therefore, in this study, literature investigation and IPA analysis were used by Microsoft Office Excel 2010, SPSS 20.0. As a result, the 'variety of local foods and specialties' was the most urgent attribute to require intensive management strategy. And it is recommended to improvement about 'attributes related residents' because it were insensitived on the recognition by users. Satisfaction of 'appropriateness of coast' was the lowest, but the efficiency was quite high. Finally, not only 'the area of control' but also 'the area of influence' should be reviewed as an important aspects on developing the fishing experience village. The significance of this study is to derive selection attributes of making fishing experience villages for revitalization of eco experience tourism, and to suggest strategy directions based on IPA analysis result by experts and experienced tourists. But in this study, the site was limited to Gyeonggi-do, so it is recommended to expand further.

• Journal of Physiology & Pathology in Korean Medicine
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• v.23 no.6
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• pp.1234-1240
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• 2009

This study was to compare the effectiveness and validity of various data-mining algorithm for Sasang type diagnostic test. We compared the sensitivity and specificity index of nine attribute selection and eleven class classification algorithms with 31 data-set characterizing Sasang typology and 10-fold validation methods installed in Waikato Environment Knowledge Analysis (WEKA). The highest classification validity score can be acquired as follows; 69.9 as Percentage Correctly Predicted index with Naive Bayes Classifier, 80 as sensitivity index with LWL/Tae-Eum type, 93.5 as specificity index with Naive Bayes Classifier/So-Eum type. The classification algorithm with highest PCP index of 69.62 after attribute selection was Naive Bayes Classifier. In this study we can find that the best-fit algorithm for traditional medicine is case sensitive and that characteristics of clinical circumstances, and data-mining algorithms and study purpose should be considered to get the highest validity even with the well defined data sets. It is also confirmed that we can't find one-fits-all algorithm and there should be many studies with trials and errors. This study will serve as a pivotal foundation for the development of medical instruments for Pattern Identification and Sasang type diagnosis on the basis of traditional Korean Medicine.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.6
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• pp.2996-3011
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• 2017

With rapid growth of web technology and dissemination of smart devices, social networking service(SNS) is widely used. As a result, huge amount of data are generated from SNS such as Twitter, and sentiment analysis of SNS data is very important for various applications and services. In the existing sentiment analysis based on the $Na{\ddot{i}}ve$ Bayes algorithm, a same number of attributes is usually employed to estimate the weight of each class. Moreover, uncountable and meaningless attributes are included. This results in decreased accuracy of sentiment analysis. In this paper two methods are proposed to resolve these issues, which reflect the difference of the number of positive words and negative words in calculating the weights, and eliminate insignificant words in the feature selection step using Multinomial $Na{\ddot{i}}ve$ Bayes(MNB) algorithm. Performance comparison demonstrates that the proposed scheme significantly increases the accuracy compared to the existing Multivariate Bernoulli $Na{\ddot{i}}ve$ Bayes(BNB) algorithm and MNB scheme.