• 한국의류학회지
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• 제30권1호
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• pp.48-58
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• 2006

The purposes of this study were to examine the effect of perceived service quality and symbolic store image on store loyalty in apparel product purchasing and the moderating effect of hedonic shopping orientation. The questionnaire was administered to 450 women shopped in a department store in Gwang-ju during September, 12-26, 2002. Data collected from 384 women were analyzed by using frequency, factor analysis, regression analysis, ANOVA and t-test by SPSS for WIN Program. The results were as follows. First, consumers' perceived service quality was composed of three factors; product & environment service, sales person's customer oriented service, store policy service factor. Consumers' symbolic store image was composed of three factors; status symbol, favorability. credibility (actor. Second, the perceived service quality significantly influenced store loyalty. Third, the symbolic store image significantly influenced store loyalty. Fourth, interaction effect between perceived service quality and hedonic shopping orientation was found out to be meaningful at store loyalty. Fifth, interaction effect between perceived store image and hedonic shopping orientation was found out to be meaningful at store loyalty.

• Steel and Composite Structures
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• 제49권4호
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• pp.419-430
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• 2023

This paper is aimed at investigating the effect of multiple longitudinal stiffeners on the patch loading resistance of slender steel plate girders. Firstly, a numerical study is conducted through geometrically and materially nonlinear analysis with imperfections included (GMNIA), the model is validated with experimental results taken from the literature. The structural responses of girders with multiple longitudinal stiffeners are compared to the one of girders with a single longitudinal stiffener. Thereafter, a patch loading resistance model is developed through machine learning (ML) using symbolic regression (SR). An extensive numerical dataset covering a wide range of bridge girder geometries is employed to fit the resistance model using SR. Finally, the performance of the SR prediction model is evaluated by comparison of the resistances predicted using available formulae from the literature.

• Communications for Statistical Applications and Methods
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• 제27권3호
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• pp.365-376
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• 2020

Interval-valued data, a type of symbolic data, is given as an interval in which the observation object is not a single value. It can also occur frequently in the process of aggregating large databases into a form that is easy to manage. Various regression methods for interval-valued data have been proposed relatively recently. In this paper, we introduce a nonparametric regression model using the kernel function and a nonlinear regression model for the interval-valued data. We also propose applying the local linear regression model, one of the nonparametric methods, to the interval-valued data. Simulations based on several distributions of the center point and the range are conducted using each of the methods presented in this paper. Various conditions confirm that the performance of the proposed local linear estimator is better than the others.

• 유통과학연구
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• 제12권10호
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• pp.67-74
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• 2014

Purpose - This study analyzed how image affects customer trust and satisfaction in the online shopping mall market, which is becoming more competitive; future implications for customer management in online shopping malls were presented. Consumers visit and prefer a few shopping mall sites instead of many sites. Consumers do not visit sites that cannot provide trust and satisfaction. Therefore, establishing trust and satisfaction with differentiated image is essential for survival and growth. Specifically analyzing company image, shop image, and brand image, I studied how symbolic image, functional image, and empirical image affect satisfaction mediated by trust in the online shopping malls of hypermarket retailers. Research design, data, and methodology - To investigate the relationship between image and satisfaction of big box retailers' shopping malls in the online market, the study is based on analyzed data from questionnaires involving advanced research. From May 1st to 20th in the year 2014, a questionnaire survey targeting university students using big box retailers' shopping malls in Seoul was conducted. A total of 282 questionnaires were conducted, and 276 questionnaires were used for empirical analysis, excluding invalid data. Using the SPSS 21.0 statistics package, factor analysis and regression analysis were implemented, and effects of image on trust and satisfaction were presented. Results - First, symbolic image can affect satisfaction with only trust. Among 3 image factors, symbolic image exerts the most influence on trust; trust is important in coupling the medium to satisfaction. Second, functional image and empirical image affect satisfaction directly and indirectly with trust. Conclusions - As I classified the image of hyper market retailers' online shopping malls into symbolic, functional, and empirical image, I analyzed the effects of image on trust and satisfaction empirically. The results of the study and strategic implications are as follows. First, symbolic image can affect satisfaction with only trust. Among 3 image factors, symbolic image exerts the most influence on trust; trust is important in coupling the medium to satisfaction. The establishment of a distinctive symbolic image, such as the online shopping mall's loyalty, level of awareness, and special service, is needed. With the establishment of symbolic image, trust and satisfaction could be improved. Second, functional image and empirical image affect satisfaction directly and indirectly with trust. Especially, as functional image affects trust more than empirical image, setting and implementing a strategy for empirical image based on the right price, service, and convenience could raise trust and satisfaction. Empirical image affects trust and satisfaction substantially. Even though empirical image's influence on trust is lower than that of other three image factors, empirical image's influence on satisfaction is higher than symbolic image. Therefore, it requires a strategy for providing joyful use, and information research functions and distinctive use experience are important to improve satisfaction. This study analyzed image characteristics of hyper-market retailers' online shopping malls in the fast-growing online market; future strategic implications were presented.

• 보건행정학회지
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• 제27권4호
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• pp.324-335
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• 2017

Background: The aim of this study is to analyze determinants of welfare attitudes toward healthcare services in South Korea, using three main theories: self-interest (positive welfare attitudes if the policy fulfills people's personal interests), symbolic attitudes (positive welfare attitudes if the person is politically progressive or egalitarian), and sociotropic perception (positive welfare attitudes if the person experienced positive aggregated collective experiences of societal events and trends regarding the policy). Although the definition of the welfare attitude is rather ambiguous in literatures, in this investigation, we operationalize the concept as the 'willingness to pay higher taxes to improve the level of health care services for all people in Korea' which shows individuals' actional propensity. Methods: We used the health module from the International Social Survey Program 2011 for the analysis (N= 1,391). Five logistic regression models were built successively using two variables for each theory to measure key concepts of self-interest, symbolic attitudes, and sociotropic perceptions as independent variables. Results: The result showed self-interest and symbolic attitudes factors to be strong determinants of welfare attitudes towards healthcare services in South Korea, whereas sociotropic perception factors have inconsistent effects. Conclusion: For a more politically elaborated healthcare reform in South Korea and elsewhere, there needs to be further research on various dimensions and determinants of welfare attitudes to understand popular basis of welfare expansion, especially in the era of inequality.

• 아태비즈니스연구
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• 제12권4호
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• pp.1-12
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• 2021

Purpose - This study is an empirical study on the relationship of Thai consumers' attitude toward Korean Wave with the visit intention of Korean restaurants and a mediation effect of consumption value of Korean restaurants. Design/Methodology/Approach - Data were collected using a structured questionnaire of 245 Thai consumers and the hypotheses presented were verified by regression analysis and structural equation models. Findings - As a result of the empirical analysis, it was found that the higher the attractiveness and favorableness of Thai consumers for K-Wave, the higher the intention to visit Korean restaurants, and the Korean Wave attitude have a positive effect on the functional and symbolic values of Korean restaurants. In particular, the important result that can be presented in this study is that the better the attitude toward K-Wave, the higher the consumption value (functional/symbolic value) of Korean restaurants and the symbolic value plays a significant mediating effect on the relationship of the attitude of K-Wave and visiting intention, while the effect of functional value is not verified. Research Implication or Originality - These results means that in order to lead Thai consumers to a Korean restaurant using K-Wave, a strategy to make Thai ones perceive symbolic value of a Korean restaurant higher would be more effective. The main strategic implication of this study is that a high-end positioning strategy with a high symbolism, which make Korean restaurant as a suitable place as a means to show off one's value (or self) or as a means to show off one's social status (or role) to Thai consumers, will be relatively effective.

• 한국의류산업학회지
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• 제11권1호
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• pp.33-40
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• 2009

The purpose of this study was to examine the relationship of masstige clothing benefit seeking and brand loyalty. The data were collected from university students, 248 males and 262 females, living in Gyeong-ju, via a self-administered questionnaire. The data were analyzed by reliability analysis, factor analysis, Pearson's correlation, regression analysis, and t-test. The results of this study were as follows: 1) Four factors of the masstige clothing benefit seeking were identified; the rise of the social position and self-improvement, the popularity and durability, the desire for individuality and favorable impression, and the rare and precious value. Three factors of the brand loyalty were identified; the committed brand loyalty, the continued brand loyalty, and the symbolic brand loyalty. 2) The committed brand loyalty had a positive relation with two factors of masstige clothing benefit seeking, that is, the popularity and durability, the desire for individuality and favorable impression. The symbolic brand loyalty had a positive relation with the rise of the social position and self-improvement of masstige clothing benefit seeking. 3) There was sex difference on the desire for individuality and favorable impression, the popularity and durability of the masstige clothing benefit seeking. Also, there was sex difference on the committed brand loyalty.

• 한국콘텐츠학회논문지
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• 제17권9호
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• pp.510-522
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• 2017

본 연구는 한국 TV 뉴스 브랜드 이미지를 기능적, 상징적 속성의 측면에서 알아보고 이들의 상호 관계, 그리고 이들이 시청의도에 미치는 영향을 조사하는 것을 목적으로 하였다. KBS1, SBS, JTBC의 저녁 메인 뉴스 시청자 412명을 대상으로 서베이를 실시하였으며, 요인분석과 회귀분석을 사용하였다. 연구 결과에 따르면, TV 뉴스 브랜드 개성은 진취성, 정직성, 전통성 등 3개의 차원으로 구성되어 있었다. JTBC가 진취성, 정직성 면에서 SBS와 KBS1을 제치고 가장 높은 평균값을 보였고, 전통성 면에서는 가장 낮은 평균값을 나타냈다. 또한 TV 뉴스 브랜드 이미지의 기능적, 상징적 속성은 높은 상관관계를 보이며, 상호 동일한정도의 영향력을 미치고 있었다. 끝으로 시청 의도는 뉴스 브랜드 기능적 편익, 정직성, 그리고 진취성 개성 요인의 순으로 결정되었다.

• 전기학회논문지
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• 제64권1호
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• pp.107-112
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• 2015

This paper introduces an evolutionary nonlinear regression based compensation technique for the short-range prediction of wind speed using AWS(Automatic Weather Station) data. Development of an efficient MOS(Model Output Statistics) is necessary to correct systematic errors of the model, but a linear regression based MOS is hard to manage an irregular nature of weather prediction. In order to solve the problem, a nonlinear and symbolic regression method using GP(Genetic Programming) is suggested for a development of MOS wind forecast guidance. Also FCM(Fuzzy C-Means) clustering is adopted to mitigate bias of wind speed data. The purpose of this study is to evaluate the accuracy of the estimation by a GP based nonlinear MOS for 3 days prediction of wind speed in South Korean regions. This method is then compared to the UM model and has shown superior results. Data for 2007-2009, 2011 is used for training, and 2012 is used for testing.

• 전기학회논문지
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• 제61권11호
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• pp.1682-1688
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• 2012

This paper introduces a GP(Genetic Programming) based robust technique for temperature compensation in short-range prediction. Development of an efficient MOS(Model Output Statistics) is necessary to correct systematic errors of the model, because forecast models do not reliably determine weather conditions. Most of MOS use a linear regression to compensate a prediction model, therefore it is hard to manage an irregular nature of prediction. In order to solve the problem, a nonlinear and symbolic regression method using GP is suggested. The purpose of this study is to evaluate the accuracy of the estimation by a GP based nonlinear MOS for 3 days temperatures in Korean regions. This method is then compared to the UM model and has shown superior results. The training period of 2007-2009 summer is used, and the data of 2010 summer is adopted for verification.