• Journal of Korean Society for Quality Management
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• v.25 no.4
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• pp.27-49
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• 1997

Quality function deployment is an interdisciplinary team process of listening to customers to learn exactly what they want, and then using a logical system to determine how best to fulfill those needs with available resources. It is examined how to extend quality function deployment in this paper. The Pugh concept selection method, ACE(Attribute Categorization and Evaluation) Matrix, and an inventive problem solving method called TRIZ are discussed in relation with quality function deployment.

• Fashion & Textile Research Journal
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• v.11 no.3
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• pp.390-398
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• 2009

The research purposes are (1) to identify male market segmentation based on fashion involvement, (2) to compare purchase intention of clothing items and store attribute evaluation at two different retail formats, department store and internet shopping mall, and (3) to compare the influence of store attributes on intention to purchase fashion products at two retail formats among segments. The data are collected from 275 male consumers through internet research institute. The major results of this study are as follows. First, the dimensions of fashion involvement are identified into external involvement and internal involvement. Male respondents present high mean scores on external involvement items, emphasizing social roles of clothing. Two involvement factors generate three market segments: high involvement group(32.4%), external involvement group(44%), and low involvement group(23.6%). Second, high involvement group shows higher mean scores on purchase intention of seven clothing items than low involvement group. Third, department store attributes are identified into four factors, product assortment, quality per price, service, and symbolic image, while internet shopping mall includes assortment & convenience, quality per price, and symbolic image. High involvement group again presents higher mean scores on each retail attribute factor than low involvement group. Finally, quality per price is the most significant variable to explain the purchase intention at department store among three market segment, whereas assortment & convenience and quality per price are important predictors to increase purchase intention at internet shopping mall. However, relative importance of each attribute variable is different among three involvement groups.

• Journal of the Korean Dietetic Association
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• v.23 no.4
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• pp.453-463
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• 2017

The purpose of this study was to standardize ingredients used by school foodservices. This study analyzed the current notation of ingredients in used by used in school foodservices through the NEIS system employed by school foodservices of elementary schools through high schools in South Korea. Specifically, this study suggests systemized standardization of ingredient classification and quality attributes of at school foodservices by applying a case study analysis. The findings from the case analysis of the Electronic Procurement System operator are as follows. Classifications for ingredients of the NEIS system used by school food services consisted of included food group, food name, detailed food name, and description. Classification was not clearly divided between the classification scheme and the attribute system. Therefore, food group, food name, and product information of each food should be categorized as the classification scheme, whereas the detailed food name (excluding product information) and description should be standardized as the attribute system, which is composed of required attributes, recommended attributes, and other attributes. This study suggests that system standardization should be carried out in the field of school foodservices, as advancements between distributors and school food service providers could affect food ingredient quality. Thus, standardization can influence purchase and distribution in many ways.

• Journal of Korean Society for Quality Management
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• v.21 no.1
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• pp.65-77
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• 1993

Often in a production process, the quality of items is serially dependent. We assume that the quality of items is an attribute which can be classified as good or bad with a Markovian dependence structure. In order to determine sampling inspection plan characteristics such as total inspection cost and average outgoing quality, we design an economic model and illustrate an efficient procedure for design of best inspection plan using graphs based on numerical calculations.

• Journal of the Korean Society of Clothing and Textiles
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• v.19 no.5
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• pp.699-712
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• 1995

The purpose of this study was 1) to identify the constructing factors of jeans brand image 2) to analyze the domestic jeans market using perceptual maps of three benefit segments based on stdy(I). The questionnaire consisted of brand preference, attribute of brand image and wearer image was selected from the previous studies or developed for this study. The subjects were 350 male and female university students who have purchased at least one of the nine jeans wear brand selected for the study. For statistical analysis, reliability test, factor analysis, MANOVA, and multiple regression were used. The results of this study were as follows: 1. Symbolism, quality, and economy were found out as constricting factors of brand image in the attribute dimensions, while innovative and active image were found out in the wearer image dimensions. 2. 9 Perceptual maps of attribute dimensions and 3 perceptual maps of wearer image dimensions were constructed and each ideal vector was drawn.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.20 no.2
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• pp.171-181
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• 2002

As the result of the analysis of the underground utility map made before, we could have divided the kind of errors into the two types, position error of geometric data and attribute error and knew the fact that mainly position error is derived from the process of detecting and surveying the underground utility, and attribute is inputting data. In this study we showed the way improving accuracy in detecting and surveying underground utility by field test, and the way to reduce attribute error by process refinement.

• The Korean Journal of Food And Nutrition
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• v.32 no.1
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• pp.50-60
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• 2019

The importance and satisfaction with the purchasing characteristics and choice attribute of home meal replacement (HMR) products for consumers aged between 20 and 40, or over 50. In addition to identify the factors that must be first considered in the development of HMR products importance-performance analysis. 791 consumers aged between 20 and 40, or over 50, living in Seoul have experience in purchasing HMR participated in the survey. The survey consisted of four sections: The purchasing characteristics of HMR, the importance and satisfaction with HMR choice attribute, and general questions. T-tests and IPA were conducted to compare the groups of consumers aged between 20 and 40, or over 50. The factor analysis show the following results: 0.899 for "convenience", 0.094 for "hygiene", 0.871 for "quality", 0.834 for "taste", and 0.822 for "price". The average score of the importance of the choice attribute when purchasing HMR products 3.50. For consumers aged between 20 and 40, the score 3.49. For consumers over 50, the score 3.52. There is a significant difference "hygiene (p<0.001)", "quality (p<0.05)", and "price (p<0.05)". For consumers aged between 20 and 40, the score 3.72. For consumers over 50, the score was 3.78. There a significant difference only in "hygiene (p<0.05)". The results of the IPA demonstrate that the categories that belong to "Focus here" are "new HMR products" and "diverse HMR products" for all consumers aged between 20 and 40 and over 50. Hence, food companies should endeavor to develop new and diverse HMR products first.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.7
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• pp.295-302
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• 2023

Software requirements written in natural language may have different meanings from the stakeholders' viewpoint. When designing an architecture based on quality attributes, it is necessary to accurately classify quality attribute requirements because the efficient design is possible only when appropriate architectural tactics for each quality attribute are selected. As a result, although many natural language processing models have been studied for the classification of requirements, which is a high-cost task, few topics improve classification performance with the imbalanced quality attribute datasets. In this study, we first show that the classification model can automatically classify the Korean requirement dataset through experiments. Based on these results, we explain that data augmentation through EDA(Easy Data Augmentation) techniques and undersampling strategies can improve the imbalance of quality attribute datasets, and show that they are effective in classifying requirements. The results improved by 5.24%p on F1-score, indicating that handling imbalanced data helps classify Korean requirements of classification models. Furthermore, detailed experiments of EDA illustrate operations that help improve classification performance.

• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.373-377
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• 2009

This research was conducted in order to know how influential the acknowledgment of factors such as the quality of educational contents and the conducting of off-line lectures is in terms of effective learning for leaners. Based on the satisfaction-importance model of the multi-attribute attitude model, this study would like to clarify the degree to which the quality of on-line contents of on-line education and the simultaneous conducting of off-line lectures influences one's learning attitude. On-line contents satisfaction will evaluated through the three categories: audio lectures, video lecture and WBI lectures, which make up the quality of on-line contents. We would also like to do a survey on the transformation of learning attitudes when on-line and off-line lectures were conducted simultaneously.

• Journal of the Korean Society of Clothing and Textiles
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• v.38 no.2
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• pp.266-276
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• 2014

Price acceptability has become an important issue in the current fashion market. This study explored diverse factors that affect price acceptability (level of acceptable price and range of acceptable price). Stimuli photos of fashion products (i.e., bag, shoes, and jacket) were developed and used for online experiments with 3,000 female consumers. Important results included factors that affected the price acceptability of fashion products were price-quality relation, price concern, and product attribute perception. The results showed that female consumers depended more on price-quality relations, more positively perceived product attributes, and were less sensitive to price; in addition, they tended to have a higher level of acceptable price as well as a wider range of acceptable price for fashion products. These results were consistent across all experiments with different fashion items (i.e., bag, shoes, and jacket). Based on the results, factors that influence the price acceptability were revealed. Marketing practitioners need to more actively consider implying advertising strategies that emphasize the advancement of product attributes such as quality for highpriced products.