• Journal of Fashion Business
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• v.20 no.3
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• pp.54-67
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• 2016

The purpose of this study was to investigate the The effect of fashion consumer's need for uniqueness in their clothing purchase behavior and switching intention. A total of 332 cases were included as the subjects of this study and a survey method was used. The data were analyzed by factor analysis, reliability analysis, t-test and multiple regression analysis using the SPSS 22.0 statistical program. The results were as follows. 1. The 3 dimensions (creative choice, unpopular choice, and avoidance of similarity) were extracted from the consumer's need for uniqueness and consumer divided high uniqueness group, middle uniqueness group, low uniqueness group. 2. The 3 factor (esthetic, functional, practical) were extracted from the clothing selection criteria. The three group had a significant difference in clothing selection and switching intention. Aesthetic factor and practical factor were the highest in high uniqueness group. 3. The need for uniqueness has influence on the aesthetic factor and practical factor. The creative choice factor had positive effect on the aesthetic and practical factor, yet unpopular choice factor had negative effect on the practical factor. The need for uniqueness and aesthetic factor has positive influence on brand switching intentions. 4. There was difference in unpopular choices factor by gender. A monthly average expenditure on fashion products had a significant difference in three kind of need for uniqueness. Results of this study provide a basis understand need for uniqueness and their effect on consumer behavior.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.6 no.3
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• pp.147-175
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• 2011

The purpose of this study is to examine the effects of store choice criteria on customer satisfaction and store loyalty, and the moderating effects of customer emotions on the causal relationship between store choice criteria and customer satisfaction. In this regard, this study tries to identify the effects of store choice criteria on customer satisfaction and store loyalty in case of mass merchandisers, and to analyze the moderating effects of customer emotions on the causal relationship between store choice criteria and customer satisfaction. For this purpose, 300 customers, who have ever shopped at mass merchandisers, were surveyed and 246 valid responses were finally used for the data analysis. The results of this study are as follows. First, out of six store choice criteria, product factors, store reputation and physical environment turn out to have statistically significant effects on customer satisfaction. This result confirms those of the previous studies. On the other hand, store accessibility, subsidiary facilities and store atmosphere are not found to have statistically significant effects on customer satisfaction. This result is somewhat different from those of previous studies, and so further research on the subject needs to be carried out. Secondly, it turns out that customer satisfaction has a statistically significant effect on store loyalty, which is in line with the results of previous studies that perceived emotions affect customers' store attitudes which in turn influence their revisit intentions. Thirdly, as for the moderating effects of customer emotions on the relationship between store choice criteria and customer satisfaction, pleasure moderates the effects of store accessibility, subsidiary facilities and store atmosphere on customer satisfaction, arousal moderates the effects of product factors, subsidiary facilities and store reputation on customer satisfaction, and finally dominance moderates the effects of product factors and subsidiary facilities on customer satisfaction. These findings partially support the results of previous studies that customers' in-store emotional experiences such as feeling good or bad enhance their store loyalty.

• Journal of the Korean Society of Clothing and Textiles
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• v.20 no.6
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• pp.1125-1137
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• 1996

The author reviewed seventy papers on social psychology of clothing and fashion marketing fields, which were published in the Journal of the Korean Society of Clothing and Textiles between 1983 and 1996. The market variables and consumer behavior variables were focused on. This review showed that the market variables had been divided into three groups of variables: 1) product variables (product image and product classification): 2) brand variables (brand image and brand positioning): and 3) store variables (store image, store type, and distribution system) Consumer behavior variables have been studied on the basis of EBM Consumer Behavior Model: 1) purchasing motivation as need recognition: 2) information using as search information: 3) evaluation criteria and choice criteria as alternative evaluatioin : 4) clothing purchase, brand choice and store choice as purchase: 5) degree of wear, satisfaction and dissatisfaction as outcome: and 6) clothing discard. Variables that influence on consumer behavior, including situation variables, clothing attitude variables, personal . social variables were added to develop a variable model of clothing consumer behavior using the EBM Consumer Behavior Model.

• Journal of the Korean Orthopaedic Association
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• v.56 no.5
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• pp.377-390
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• 2021

Reverse total shoulder arthroplasty (RTSA) is a surgical method that has recently been conducted in widely irrepairable rotator cuff tears with pseudoparalysis, cuff tear arthropathy, and osteoarthritis of the shoulder joint. Several topics can be described, but this review article provides an opinion on the criteria for the choice of implant in RTSA.

• Journal of the Korean Home Economics Association
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• v.34 no.2
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• pp.341-353
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• 1996

The purpose of this research is to investigate the influence of demographic and housing life-style variables on evaluation or choice criteria to the decision making for purchasing house. The results of this research were as follows ; 1) In analysis on housing life-style according to demographic variables, it showed that the age group had significant difference in decoration pursuits ; the educational group had significant difference in self-expression ; the income group had significant difference in self-expression and interior function. 2) In analysis on evaluation or choice criteria of decision making for purchasing house according to demographic variables, it showed that : the age group had significant difference in surrounding environment ; the educational group had significant difference in interior environment, interior or exterior facilty, apartment management, economics and surrounding environment ; the income group had significant difference in avail of approach, convenience facilities, apartment management, economics and surrounding environment. 3) In analysis the influence of demographic and housing life-style variables on evaluation or choice criteria to decision making for purchasing house, it was effected on educational level, decoration pursuit, practicality and ostentation in interior environment ; decoration pursuit, self-expression, interior function and practicality in interior or exterior facility ; decoration pursuit, practicality and ostentation in avail ability of approach and convenience facilities ; self-expression, practicality and ostentation in apartment management and economics ; age level, income level, decoration pursuit, self-expression, practicality and ostentation in surrounding environment.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.8
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• pp.1112-1120
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• 2004

The visual environment of the store is a very important factor to attract consumers into the store and make consumers purchase products. Therefore retailers should have concerns about store environments to differentiate their stores from other stores. Thus this study focused on visual environment of the store influencing consumer behavior. The concrete purpose of this study was to identify preferences of store environments and store types by consumer traits. First, the store choice criteria factors were examined and through the cluster analysis, several consumer groups were constructed. And then the visual environment factors of the store that consumers perceived important were identified and the visual environment factors of the store preferred by consumer groups were examined. Finally, store types preferred by consumer groups were examined. The findings of this study can assist store designers and retailers to set up a store environment or visual marketing strategies.

• Health Policy and Management
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• v.19 no.4
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• pp.98-120
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• 2009

The purpose of this study is to elicit preference for drug listing decision criteria and to estimate the ICER threshold in South Korea using the discrete choice experiment (DCE) method. To collect the data, a DCE survey was administered to a subject sample either educated in the principle concepts of pharmacoeconomics or were decision makers within that field. Subjects chose between alternative drug profiles differing in four attributes: ICER, uncertainty, budget impact and severity of disease. The orthogonal and balanced designs were determined through computer algorithm to take the optimal set of drug profiles. The survey employed 15 hypothetical choice sets. A random effect probit model was used to analyze the relative importance of attributes and the probabilities of a recommendation response. Parameter estimates from the models indicated that three attributes (ICER, Impact, Severity of disease) influenced respondents' choice significantly(p${\pm}$0.001). In addition, each parameter displayed an expected sign. The Lower the ICER, the higher the probability of choosing that alternative. Respondents also preferred low levels of uncertainty and smaller impact on health service budget. They were also more likely to choose drugs for serious diseases rather than mild or moderate ones. Uncertainty however is not statistically significant. The ICER threshold, at which the probability of a recommendation was 0.5, was 29,000,000 KW/QALY in expert group and 46,500,000 KW/QALY in industry group. We also found that those in our sample were willing to accept high ICER to get medication for severe diseases. This study demonstrates that the cost-effectiveness, budget impact and severity of disease are the main reimbursement decision criteria in South Korea, and that DCE can be a useful tool in analyzing the decision making process where a variety of factors are considered and prioritized.

• The Journal of Fisheries Business Administration
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• v.40 no.1
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• pp.113-132
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• 2009

The purpose of this study is to derive the factors for the general consumers to choose the store to buy seafood. Survey on 414 general consumers by questionnaires was conducted to find out the factors for them to choose the stores in the traditional market and large supermarket, and through the analysis on the results the factors for general consumers to choose large supermarkets were derived when they buy seafood and at the same time the degree of its importance was analyzed. The results of the survey showed that the general consumers chose large supermarkets to buy seafood despite the fact that they recognized the seafood prices are lower in the traditional markets than in the large supermarkets. Particularly, the results of analyzing the sixteen criteria for choosing the store in which to buy seafood were grouped into four: the 'assortment of goods and high quality', 'service', 'price and promotion' and 'convenient accessibility.' The results of examining the order of priority based on the four factors showed that the 'assortment of diverse seafood and high quality' was found to be given the first priority, followed by 'convenient accessibility' and 'prices and promotion factors', with 'service' being statistically insignificant. Based on these results, Monroe (1975)'s consumers' store choice process is summarized as follows. Before buying seafood, the consumers who use large supermarkets have the desire for buying seafood and then judge the properties of the store which they will use. In this process, consumers were satisfying their needs in large supermarkets in the criteria of 'assortment of diverse seafood and high quality', convenient accessibility', and 'prices and promotion factors' which were found to be statistically significant in this research. Accordingly, the general consumers choose to buy seafood in large supermarkets rather than in the traditional markets. The general consumers were more satisfied with using large supermarkets than using traditional markets, so after they have initially bought seafood in the large supermarkets, they habitually buy seafood in the large supermarkets without going through Monroe (1975)'s 'eight stage process for the store choice.' When such habitual store choice behavior continues for a long time, it results in becoming structural.

• Proceedings of the Korean Geotechical Society Conference
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• 2002.10a
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• pp.295-302
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• 2002

Shear strength of the rock joint is dependent on the roughness and the compressive strength of the joint surface, normal stress and etc. Roughness of the joint profile is described by JRC suggested by Barton and Choubey (1977). Choice of the JRC value is subjective. A number of studies have been carried out to quantify the JRC. Predicted shear strengths by Barton's Equation using the new quantification method of JRC suggested by Chun and Kim (2001) were compared results of shear tests and new criteria of shear strength which have a better accuracy to predict shear strength was suggested.

• Proceedings of the KOR-KST Conference
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• 2000.02a
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• pp.25-47
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• 2000

In route guidance systems fastest-path routing has typically been adopted because of its simplicity. However, empirical studies on route choice behavior have shown that drivers use numerous criteria in choosing a route. The objective of this study is to develop computationally efficient algorithms for identifying a manageable subset of the nondominated (i.e. Pareto optimal) paths for real-time vehicle routing which reflect the drivers' preferences and route choice behaviors. We propose two pruning algorithms that reduce the search area based on a context-dependent linear utility function and thus reduce the computation time. The basic notion of the proposed approach is that ⅰ) enumerating all nondominated paths is computationally too expensive, ⅱ) obtaining a stable mathematical representation of the drivers' utility function is theoretically difficult and impractical, and ⅲ) obtaining optimal path given a nonlinear utility function is a NP-hard problem. Consequently, a heuristic two-stage strategy which identifies multiple routes and then select the near-optimal path may be effective and practical. As the first stage, we utilize the relaxation based pruning technique based on an entropy model to recognize and discard most of the nondominated paths that do not reflect the drivers' preference and/or the context-dependency of the preference. In addition, to make sure that paths identified are dissimilar in terms of links used, the number of shared links between routes is limited. We test the proposed algorithms in a large real-life traffic network and show that the algorithms reduce CPU time significantly compared with conventional multi-criteria shortest path algorithms while the attributes of the routes identified reflect drivers' preferences and generic route choice behaviors well.