• The Research Journal of the Costume Culture
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• v.23 no.6
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• pp.940-954
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• 2015

The purpose of this study is to identify the antecedents of repurchase intention toward fast fashion brands. Perceived quality, perceived price, deindividuation, and overly trendy styles, which are product characteristic variables, and fashion innovativeness, which is a consumer characteristic variable, were considered as antecedents. It was hypothesized that product and consumer characteristics influence repurchase intention toward fast fashion brands not only directly, but also indirectly through cognitive dissonance. Data were gathered by surveying university students in Seoul using convenience sampling. Three hundred and fifty-two questionnaires were used in the statistical analysis. SPSS was used for exploratory factor analysis, and AMOS was used for confirmatory factor analysis and path analysis. The factor analysis of product characteristics revealed four dimensions: "perceived quality", "perceived price", "deindividuation", and "overly trendy styles", and the factor analysis of consumer characteristics revealed one dimension. The factor analysis of cognitive dissonance revealed two dimensions, "regrets" and "perceived uncertainty." The hypothesized path test proved that perceived quality, deindividuation, overly trendy styles, and fashion innovativeness influence repurchase intention directly. Perceived price and deindividuation influence repurchase intention indirectly through the factor of cognitive dissonance, which is the perceived uncertainty, indicating the importance of cognitive dissonance. The results indicate effective marketing strategies should be used to decrease consumers' cognitive dissonance, and suggestions for future study are provided.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.2
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• pp.216-226
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• 2002

This study attempts to understand how the perception of service quality as well as shopping motives influence on the emotional responses in store shopping, and to examine how these relevant variables influence on the store satisfaction. The 463 questionnaires were collected from the purchasers in department stores, fashion specialty stores, and national brand franchise stores. The results of this study are as fellows: 1. In regard to shopping motives, two dimensions of product motive and experiential motive were identified, explaining 47.39% of shopping motives. 2. In regard to emotional response, two dimensions of pleasure emotion and displeasure emotion were identified, explaining 65.95% of emotional responses. 3. Shopping motives led to the store satisfaction after the perception of service quality and then the experience of pleasure emotion. These related variables explained 60% of the store satisfaction. 4. The consumers of fashion specialty store showed the highest product motive, whereas the consumers of department stores showed the highest displeasure emotion in the store. As the results showed, customers' shopping motives influence their perception of service quality and pleasure emotion. Therefore, in order to stimulate shopping motives, the store environment that can give customers pleasure and opportunity to pursue various experiences should be provided. As the service quality is a very important variable that leads pleasure emotion in the store, sales persons should be trained to satisfy customers.

• Korean Journal of Adult Nursing
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• v.28 no.6
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• pp.669-679
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• 2016

Purpose: The purpose of this study was to explore the reported good service experiences from the perspective of elderly residents of long-term care facilities. Methods: Of those residents who are 65 years old or older, 14 residents whose length of stay were one month or longer and scores of the K-Mini Mental State Examination were 15 or higher were interviewed. The interview data formed the basis for the empirical statements about the reported nature of patients' experiences as residents of long-term care facilities. These data were used in concept mapping. Results: Through multidimensional scaling analysis and hierarchical cluster analysis, 62 core statements, two dimensions, and six clusters of good service experiences were derived. The two dimensions were classified as 'care centered-participation centered services' and as 'physical-emotional services.' Six cluster themes emerged as good service experiences: 'safety of care and treatment', 'responsible and supportive staff', 'comfort of living environment', 'mental well-being', and 'respect and communication'. Conclusion: The result of the study provides information about what experiences are important to older adults with cognitive impairment. The concept map can be used to develop a patient experience index for the elderly residents of long-term care facilities.

• Science of Emotion and Sensibility
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• v.4 no.2
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• pp.47-55
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• 2001

In affective space model for the faces of Korean women in twenties was developed based on the findings of Park, et. at. (2001) that suggested two orthogonal dimensions for the affective representation of a face. babyish-mature and sharp-soft. In the current study, affective facial characteristics were visualized by providing properly synthesized faces at 17 subregions of the model space Effect of physical attributes of a face on its affective evaluation was also investigated along the two affective dimensions. The relationship between typical adjectives describing facial affectiveness anti physical attributes of a face was examined to provide a category-based interpretation.

• Journal of the Korean Home Economics Association
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• v.50 no.1
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• pp.15-28
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• 2012

The purpose of this study was to examine: (1) the relationships among two dimensions of children's perfectionism (both self-oriented and socially prescribed), and levels of depression, anxiety, and self-esteem; (2) whether or not self-esteem mediates the relationship between children's self-oriented perfectionism, and depression and anxiety; and (3) whether self-esteem mediates the relationship between socially prescribed perfectionism, and depression and anxiety. The participants were 406 fifth and sixth graders. Their data were collected with questionnaires. It was found that there are significant correlations between children's self-oriented perfectionism, and depression and self-esteem, and there are also significant correlations between children's socially prescribed perfectionism, and depression, anxiety, and self-esteem. It was also found that self-esteem mediates the relationship between the two dimensions of children's perfectionism, and depression and anxiety. These results seem to indicate that enhancing healthy self-esteem could lower the risks of experiencing depression and anxiety in children with perfectionistic personality.

• The Korean Journal of Applied Statistics
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• v.30 no.4
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• pp.555-566
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• 2017

For multivariate datasets with large number of variables, classical dimensional reduction methods such as principal component analysis may not be effective for data visualization. The underlying reason is that the dimensionality of the space of variables is often larger than two or three, while the visualization to the human eye is most effective with two or three dimensions. This paper proposes a working procedure which first partitions the variables into several "latent" clusters, explores individual data subsets, and finally integrates findings. We use R pakacage "ClustOfVar" for partitioning variables around latent dimensions and the principal component biplot method to visualize within-cluster patterns. Additionally, we use the technique for embedding supplementary variables to figure out the relationships between within-cluster variables and outside variables.

• The Research Journal of the Costume Culture
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• v.16 no.2
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• pp.349-368
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• 2008

The purpose of the study was to examine the effect of internal traits of perceivers on sensory images of fashion materials and dress wearers. Perceiver's internal traits included aspects of Gender-body Ideology (GBI), as well as fashion lifestyles and fashion interest. The research was conducted on a quasi experimental basis, with subjects numbering 187 male and 207 female college students. Data were collected in the period from March 19th to March 31st, 2007. Two sets of stimuli and three measuring tools (to assess GBI, fashion life styles and fashion interest) were used. The stimuli were thirteen fabric specimens and thirteen photographs of dress styles, manipulating by two variables: (a) motif colors (white, grey, pinks and blue); (b) motif categories (plain, paisley, floral, stripes, and zebra effect). The data were analysed by factor analysis, ANOVA, Duncan's multiple range test. The major findings were as follows: Gender-body ideology was separated into agonic and hedonic dimensions. Fashion life style was separated into 3 dimensions(shopping life-style pursuit, social activity pursuits and brand life style pursuits). The internal traits of perceivers influenced preferences and buying intentions. Shopping life-style pursuits had more impact on preferences and buying intentions than other internal traits.

• Journal of the Korean Chemical Society
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• v.40 no.6
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• pp.401-408
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• 1996

In general, the high temperature superconductors have two-dimensional anisotropic structures. It is important to investigate the dependence of the critical temperature on the dimensions of the electron's motion. The equation of state for electron gas is deduced which describes the electron's motion in superconductors using the kinetic theory of gas. And the critical temperatures of three, two, and one dimensional gases were calculated. According to these equations, restricting the dimension of the electron's motion induces the increase of the critical temperatures. This implies the possibility that the multi-critical temperature of some superconductors is caused by the change of the dimension related to the pathways of the electron.

• Computers and Concrete
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• v.20 no.4
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• pp.429-437
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• 2017

In this study, the effect of the tensile strength and ratio of disc spacing to penetration depth on the efficiency of tunnel boring machine (TBM) is investigated using Particle flow code (PFC) in two dimensions. Models with dimensions of $150{\times}70mm$ made of rocks with four different tensile strength values of 5 MPa, 10 MPa, 15 MPa and 20 MPa were separately analyzed and two "U" shape cutters with width of 10 mm were penetrated into the rock model by velocity rate of 0.1 mm/s. The spacing between cutters was also varied in this study. Failure patterns for 5 different penetration depths of 3 mm, 4 mm, 5 mm, 6 mm, and 7 mm were registered. Totally 100 indentation test were performed to study the optimal tool-rock interaction. An equation relating mechanical rock properties with geometric characteristics for the optimal TBM performance is proposed. The results of numerical simulations show that the effective rock-cutting condition corresponding to the minimum specific energy can be estimated by an optimized disc spacing to penetration depth, which, in fact, is found to be proportional to the rock's tensile strength.

• Journal of Korean Society for Quality Management
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• v.37 no.4
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• pp.100-110
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• 2009

The customer-driven efficiency evaluation has been in the mainstream of public administration research, since the 1980s. However, there have been relatively fewer efficiency evaluation research in public administration compared to those of public institutions. This paper is to analyze the service efficiency of public sector using Data Envelopment Analysis(DEA). We suggested two stage DEA model to accomplish efficiency evaluation that an operation and performance characteristic of the public institution were reflected and then the number of the government employee and tax expenditure per residents were used as the input elements at the 1st stage and four integrated service dimensions were used as the output elements. At 2nd stage, four integrated service dimensions and citizen's satisfaction were used as the input and output elements respectively. In addition, we suggested PSEI(Public Service Efficiency Index) which showed the efficiency of the public sector using the two stages efficiency result. According to the results for '07, there were no efficient institutions among 15 DMUs and the most efficient public institution was K(0.9150). In case for '08 analysis, there was only one efficient DMU.