• Journal of the East Asian Society of Dietary Life
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• v.22 no.2
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• pp.246-254
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• 2012

The principal objectives of this study were to analyze the physiochemical properties of four mulberry fruit beverages (MFBs) and develop descriptive analysis procedures for evaluation of their sensory characteristics. Soluble solid, free sugar, pH, acidity, chromaticity, flavonoid, and anthocyanin of MFBs were determined. All MFB samples showed significantly different physicochemical properties ($p$<0.01). Ten highly trained panelists identified the following 11 sensory attributes in the MFBs and defined the terminology for each attribute : turbidity, chromaticity for appearance characteristics, berry, grass, fermented, sweet, astringent, and sour for flavor characteristics, and throat hit, refreshing, and astringent for textural characteristics. There were significant differences in the 10 sensory attributes among the MFB samples ($p$<0.001). In color, the value of MFB3 was significantly higher than those of others ($p$<0.05). In taste and overall acceptance, the values of MFB2 were significantly higher than those of others ($p$<0.01, $p$<0.001). Descriptive terminology of the developed MFBs could explain the sensory attributes of the samples according to this result. Based on this, proper analysis and sensory evaluation techniques could be applied to other fruit beverages to establish their physiochemical characteristic and descriptive sensory attributes.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.7 s.155
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• pp.1066-1077
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• 2006

The purpose of this study was to investigate the effect of store attributes, purchasing experience, clothing product evaluation and store trust on store loyalty of discount store. With convenience sampling, the research was surveyed to women who have bought apparels at the discount store. The 374 responses were analyzed by frequency analysis, factor analysis, reliability test, t-test and hierarchical regression analysis. The results were as follows. First, the clothing product evaluation was significantly affected by the variety of products, reliable advertisement, good display, convenient store location, purchasing cost and buying experience of PB apparel. Second, the trust of discount store was significantly affected by store attributes, purchasing experience and clothing product evaluation. Third, the discount store loyalty was analyzed as fashion store loyalty. The store loyalty was affected by purchasing experience and clothing product evaluation. Fourth, the clothing product evaluation and store loyalty were appeared high by people who had bought PB, PNB and trendy apparels.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.7
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• pp.775-786
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• 2011

This study examines whether there are differences in the evaluation of clothing products according to self-efficacy in purchasing clothes. A total of 300 surveys were distributed and 231 were used for analysis. The data were analyzed by regression and factor analysis. The results are as follows. First, there were significant differences in the product attributes considered according to self-efficacy in purchasing clothes. The consumers with high self-efficacy considered diverse product attributes comprehensively when making purchase decisions and had significantly higher score in perceived value and post-purchase satisfaction level than the consumers with low self-efficacy. Second, there were differences in the attributes of clothing products that effects perceived value according to self-efficacy in purchasing clothes. The attributes of 'clothes that I like' and 'necessary clothes' had a significant effect on perceived value for both consumers. The attributes of 'design that suits me' and 'inexpensive price' had significant effect on perceived value on consumers with high self-efficacy while the attributes of 'harmony with other clothes' had a significant effect on perceived value for consumers with low self-efficacy. Third, there were differences in product attributes and the perceived value that influenced post-purchase satisfaction level according to self-efficacy in purchasing clothes. The attributes of 'design that suits me' and perceived value had a direct effect on the post-purchase satisfaction level four consumers with a high self-efficacy. For the consumers with low self- efficacy, the attributes of 'clothes I like', 'necessary clothes', and 'design similar to that of usually purchased products' had a direct effect on post-purchase satisfaction level; however, the effect of perceived value was not found.

• Archives of design research
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• no.16
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• pp.17-25
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• 1996

, \l!ernatives in multi dimensional decision prohlems generally possess numerous attrihutes by which they can be describ('d and compared, The ('\';dllation factors include all attributes that have Ic\'(']s specified by quantitative and qualitativc objectil'l'S, Howev'('f since qualitative factors arc difficul! to quantify as num('ral estimates, these factors have tended to bl' ignored without regard for their importance to human contrnl. In this study, the author adapted :j ('va]uation methods with critrria which have qualitative and qualitative attributes: the Intuitive Evaluation ~1cthods the Accumulativc' Evaluation Model the Benchmarking Evaluation Methods, and studied the corrC'iation between them, The results show that Ill(' :j Mrthods have reciprocal relationships under reliability (r=O, (XX)]] In order to removl' obstacles of desi!;n ev'aluation ( lots of timl' l'llnsumption, constr;lints of placc" difficulties of hu!;!' data procc'ssin!;), it is necessary to be developed a new ('va]uation syst('rn which could prov'idc' effective rat in!; of desi!;n v'alm's 10 make value judw'rnents, , \l!ernatives in multi dimensional decision prohlems generally possess numerous attrihutes by which they can be describ('d and compared, The ('\';dllation factors include all attributes that have Ic\'(']s specified by quantitative and qualitativc objectil'l'S, Howev'('f since qualitative factors arc difficul! to quantify as num('ral estimates, these factors have tended to bl' ignored without regard for their importance to human contrnl. In this study, the author adapted :j ('va]uation methods with critrria which have qualitative and qualitative attributes: the Intuitive Evaluation ~1cthods the Accumulativc' Evaluation Model the Benchmarking Evaluation Methods, and studied the corrC'iation between them, The results show that Ill(' :j Mrthods have reciprocal relationships under reliability (r=O, (XX)]] In order to removl' obstacles of desi!;n ev'aluation ( lots of timl' l'llnsumption, constr;lints of placc" difficulties of hu!;!' data procc'ssin!;), it is necessary to be developed a new ('va]uation syst('rn which could prov'idc' effective rat in!; of desi!;n v'alm's 10 make value judw'rnents,alm's 10 make value judw'rnents,

• Journal of Multimedia Information System
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• v.4 no.4
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• pp.279-284
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• 2017

The visual impact of fonts on lots of documents and design work is significant. Accordingly, the users desire to appropriately use fonts suitable for their intention. However, existing font recommendation programs are difficult to consider what users want. Therefore, we propose a font recommendation system based on user-evaluated font attribute value. The properties of a font are called attributes. In this paper, we propose a font recommendation module that recommends a user 's desired font using the attributes of the font. In addition, we classify each attribute into three types of usage, personality, and shape, suggesting the font that is closest to the desired font, and suggest an optimal font recommendation algorithm. In addition, weights can be set for each use, personality, and shape category to increase the weight of each category, and when a weight is used, a more suitable font can be recommended to the user.

• Journal of the Korea Society of Computer and Information
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• v.20 no.9
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• pp.11-20
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• 2015

In order to prevent the elderly people from committing suicide attempts, it is necessary to verify attributes that affect the suicide attempts. It is noted that previous studies have focused on qualitative approaches, and simple correlation analyses to determine the attributes related to the suicide attempts in the elderly people. However, such previous approaches had led to insufficient performance when facing with complicated data sets. In this sense, this study suggests an alternative method in which attribute selection techniques are adopted to determine more relevant attributes of the suicide attempts occurring in Korean elderly people. To verify empirical validity of our proposed method, we used Korea National Health and Nutrition Examination Survey (KNHANES) from January 2007 to December 2012. Empirical results proved that the proposed attribute selection techniques showed better predictive effectiveness; 94.4% compared to the simple statistical methods. This study proposes a way to determining the elderly suicide and preventing it to happen.

• Journal of Korean Society for Quality Management
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• v.37 no.4
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• pp.31-42
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• 2009

Various studies have been undertaken in order to effectively understand customer requirements. Kano proposed a dualistic approach, physical fulfillment and customer satisfaction, to differentiate Attractive, Must-be, One-dimensional quality attributes. As there were a few limitations on the Kano's method, researchers have proposed improved methods. However, there have been few empirical evidences that the improved methods are superior to the original Kano's method for identifying relevant quality attributes. The objective of this study is to provide a comparative study on Kano and improved Kanomethods based on empirical analysis of quality attributes on University services. For the analysis of the questionnaire formats, the Kano's original 5 scale questionnaire is more effective than improved methods, direct and 3 scale questionnaire. For the analysis of evaluation methods, the original Kano and Timko's method using the evaluation table are more effective than quantifying methods, Domouchel and Lim's methods.

• Journal of the Korea Fashion and Costume Design Association
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• v.14 no.2
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• pp.113-125
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• 2012

This study aims to understand the evaluation of importance, satisfaction and repurchase intention after dividing the attributes of environment-friendly fashion product in details. Out of 400 surveys, 328 were used in the final analysis of this study, with 113 respondents having experience of buying Environment-friendly fashion products. The analysis of this study is done by SPSS 18.0(ver.). Through the literature review, the objective attributes were subdivided into seven factors, including brand, environment-friendly materials, quality, environment-friendliness when using/managing, environment-friendliness when discarding, color/pattern, and environment-friendly design. Though an empirical study, the subjective attributes were subdivided into three factors, including innovation/individuality, practicality, and dignity/popularity. In the analysis results of the importance of the attributes of environment-friendly fashion products, it was shown that it was considered as importance as above average. The effect of the satisfaction of the objective attributes on the repurchase intention was measured. In the results, the regression model was significant while it was understood that the satisfaction of environment-friendly materials, environment-friendliness when discarding, color/pattern and environment-friendly design had positive effect on the repurchase intention. The effect of the satisfaction of the subjective attributes of environment-friendly fashion products on the repurchase intention was measured. In the results, dignity/popularity and innovation/individuality factors had positive effect on the repurchase intention.

• Journal of the Korean Society of Clothing and Textiles
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• v.40 no.6
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• pp.1150-1163
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• 2016

This study makes use of meta-analysis to statistically integrate the quantitative results of individual research on the influence of fashion product attributes on purchase; in addition, this study utilizes the effect sizes of correlation coefficients. This study was based on 24 individual studies from January 2000 to March 2015. The meta-analysis analyzed 91 effect sizes and 24 studies and calculated the correlation coefficient effect sizes. A random effect model was employed for meta-analysis because the results for the homogeneity test indicated that the effect sizes of each research were heterogeneous. The analysis results are as follows. First, when the total effect sizes of the fashion product attributes that influence clothing purchase decisions were calculated as .256; this indicated that the effect size is slightly below the mid-sized level. Second, upon examining the effect sizes of the categorized fashion product attributes, the intrinsic attributes yielded .222, extrinsic factors yielded .235, and the compiled attributes yielded .420; this demonstrated that the compiled attributes have a larger effect size than individual attributes. Third, when they were measured by the characteristics of study targets, they were larger for a mixed-gender group than women as well as for ordinary citizens than university students. When the effect sizes were measured based on the characteristics of fashion products as suggested in the study, there were significant differences with respect to sportswear, followed by SPA brand clothing, general clothing, fashion accessories, and designer clothing. The cases where the clothing were purchased in non-retail stores were found to have a slightly larger effect size than those of offline retail stores when the effect sizes were measured based on purchase routes; however, the difference was not statistically significant. Next, an investigation of the trend of effect sizes based on published year via the meta regression analysis indicated slightly larger effect sizes as shown in more recent publications, but this was not statistically significant.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.10a
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• pp.167-170
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• 2000

This paper is concerned with development of a performance evaluation model for material handling system in cellular manufacturing system based on multi-attributes analysis method. We used the AHP(analytic hierarchy process) and fuzzy set ranking methodologies to overcome the special decision problems; those of multi -objective, multi-criterion, and multi-attributes. We proposed a 3-step approaches and we developed a systemic and practical computer program to solve the problems in the proposed methods. Computational experiments are then performed to cellular manufacturing system and show the effectiveness of the proposed model.