• Journal of the Korean Society for Precision Engineering
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• v.20 no.3
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• pp.221-229
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• 2003

In the early phases of the product life cycle, Life Cycle Assessment (LCA) is recently used to support the decision-making fer the conceptual product design and the best alternative can be selected based on its estimated LCA and its benefits. Both the lack of detailed information and time for a full LCA fur a various range of design concepts need the new approach fer the environmental analysis. This paper suggests a novel approximate LCA methodology for the conceptual design stage by grouping products according to their environmental characteristics and by mapping product attributes into impact driver index. The relationship is statistically verified by exploring the correlation between total impact indicator and energy impact category. Then a neural network approach is developed to predict an approximate LCA of grouping products in conceptual design. Trained learning algorithms for the known characteristics of existing products will quickly give the result of LCA for new design products. The training is generalized by using product attributes for an ID in a group as well as another product attributes for another IDs in other groups. The neural network model with back propagation algorithm is used and the results are compared with those of multiple regression analysis. The proposed approach does not replace the full LCA but it would give some useful guidelines fer the design of environmentally conscious products in conceptual design phase.

• Journal of the Korean Home Economics Association
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• v.44 no.12
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• pp.105-115
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• 2006

The purpose of this study is to apply conjoint analysis to fashion product development. Conjoint measurement was undertaken on the traditional casual market, composed of Polo, Beanpole, Maru and Giordano brands. Product's attributes, such as brand name, price, country of origin and style, were selected as choice factors. Twelve profiles were used for full-profile stimulus cards method. Based on the importance and utility rates of the product attributes, preferences for the products currently in the market and simulated products were calculated. The results increased our understanding of the trends in traditional casual market and assisted in the preparation of marketing strategies for each brand.

• International Journal of Reliability and Applications
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• v.3 no.4
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• pp.155-164
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• 2002

This paper focuses on how modem data mining can be integrated with real-time relational databases and commercial data warehouses to improve reliability in real-time. An important Issue for many manufacturers is the development of relational databases that link key product attributes with real-time process parameters. Helpful data for key product attributes in manufacturing may be derived from destructive reliability testing. Destructive samples are taken at periodic time intervals during manufacturing, which might create a long time-gap between key product attributes and real-time process data. A case study is briefly summarized for the medium density fiberboard (MDF) industry. MDF is a wood composite that is used extensively by the home building and furniture manufacturing industries around the world. The cost of unacceptable MDF was as large as 5% to 10% of total manufacturing costs. Prevention can result In millions of US dollars saved by using better Information systems.

• Journal of the Korean Society of Food Culture
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• v.27 no.5
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• pp.512-520
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• 2012

This study investigated the sensory characteristics of adlay tea favorably consumed by Korean consumers and analyzed the drivers behind for liking or disliking adlay tea. Six adlay tea products showing the highest market share in South Korea were selected. Sensory properties of the six products were analyzed using generic descriptive analysis. Among these, four products were further selected for consumer taste acceptance test. Sensory lexicons of adlay tea were developed by trained panelists, and the sensory characteristics of each adlay tea product were measured based on the perceived intensities of these attributes elicited from the samples. In the consumer taste acceptance test, frequent tea and coffee drinkers participated. Consumers rated the acceptance of each tea product on a 9-point hedonic scale and evaluated the reasons for liking or disliking each product based on the check-all-that-apply method. Analysis of Variance, principal component analysis, frequency analysis, and correspondence analysis were utilized for statistical analysis. Twenty sensory attributes were developed in order to characterize the six adlay tea products. The results of the descriptive analysis showed that attributes such as viscosity, black soybean flavor, goso flavor, peanut flavor, seaweed flavor, green, and presence of chunks were key factors differentiating the adlay tea products. In the consumer taste test, roasted flavor, goso flavor, peanut flavor, and presence of chunks were positive drivers for liking the adlay tea products, whereas seaweed and green flavors were negative attributes that drove consumers away.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.4
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• pp.476-487
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• 2011

This study investigates the effects of internet shopping malls attributes on purchase satisfaction, repurchase intention, and word of mouth intention of fashion consumers. Data were collected from 400 consumers who purchased fashion products through internet shopping malls for the last 3 months. The survey was conducted from August $6^{th}$ 2010 to September $20^{th}$ 2010. A factor analysis identified 7 dimensions of internet shopping mall attributes: (1) interactivity, (2) website appearance, (3) sales promotion, (4) trust, (5) transaction capability, (6) fashion products variety, and (7) information offerings. The results show that all the dimensions of the internet shopping mall attributes affect purchase satisfaction, repurchase intention, and word of mouth intention. In addition, there were significant differences in the perceived attributes among three different types of internet shopping malls; comprehensive mall, fashion specialty malls, and online market-places (open-markets). While, there was no significant impact on the purchase satisfaction, repurchase intention, and word of mouth intention by the e-tailer types.

• Journal of the Korea Fashion and Costume Design Association
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• v.15 no.1
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• pp.123-138
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• 2013

This paper studied the apparel product attributes that women in the new elderly generation require in formal wears and in casual wears. The purpose of this study was to provide the design guideline when considering the changing and diverse buying patterns of the new elderly female consumers as opposed to the traditional elderly generation. We employed a qualitative study methodology of one-on-one in-depth interview with open coding. Between August 10 and October 3 of 2012, we interviewed sixteen female consumers of age 60 or above residing in the metropolitan area who considered themselves as young-minded. Our findings were as follows: The consumer-required attributes that the new elderly women wanted to present have five dimensions of symbolism, aesthetic, fitness, usefulness, and maintenance. The main focus of the apparel product attributes that the new elderly women wanted was the dimension of symbolism in formal wears and the dimensions of usefulness and maintenance in casual wears. The new elderly females were the emerging group of consumers of diversified clothing products who emphasized overall balance and wore appropriately for occasions. Apparel products for the new elderly females should incorporate the design attributes that they want as well as the overall balance among individual wears.

• International Commerce and Information Review
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• v.19 no.2
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• pp.109-141
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• 2017

Recently, by increasing the importance of the western China as consumer market, the need for a systematic and scientific study of the western Chinese consumers has been raised. This study researches how country image and product attributes as well as brand personality influence the western Chinese consumers' selection of Korean products. This study used the data which were collected through survey of adult consumers residing at six city of western China on Korean products' selection. Then the results are used for statistical analysis. The empirical findings are as follows: country image and product attributes as well as brand personality influence on the western Chinese consumers' selection of Korean products although there exist difference. Among three factors, the western Chinese consumers have most influences by product attributes. And brand personality in relation to its symbolic aspect has an important influence on the western Chinese consumer's Korean products selection. This study has presented the main implications of the preferred marketing strategies for Korean enterprises in the western China on the basis of these research results.

• Journal of Mechanical Science and Technology
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• v.17 no.12
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• pp.1969-1976
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• 2003

In the early phases of the product life cycle, Life Cycle Assessment (LCA) is recently used to support the decision-making for the product concepts, and the best alternative can be selected based on its estimated LCA and benefits. Both the lack of detailed information and time for a full LCA for a various range of design concepts need a new approach for the environmental analysis. This paper explores a new approximate LCA methodology for the product concepts by grouping products according to their environmental characteristics and by mapping product attributes into environmental impact driver (EID) index. The relationship is statistically verified by exploring the correlation between total impact indicator and energy impact category. Then, a neural network approach is developed to predict an approximate LCA of grouping products in conceptual design. Trained learning algorithms for the known characteristics of existing products will quickly give the result of LCA for newly designed products. The training is generalized by using product attributes for an EID in a group as well as another product attributes for the other EIDs in other groups. The neural network model with back propagation algorithm is used, and the results are compared with those of multiple regression analysis. The proposed approach does not replace the full LCA but it would give some useful guidelines for the design of environmentally conscious products in conceptual design phase.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.1
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• pp.1-11
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• 2008

The purpose of this study was to investigate the effects of Internet shopping interests on the casual relationships among Internet shopping mall attributes, emotions, and impulse buying behavior. Data were obtained from 414 internet shoppers who had bought fashion products in internet shopping mall. The result showed that the highly interested Internet shoppers, when perceived the product attributes of Internet shopping mall, were more likely to feel positive emotions, and then were more likely to buy fashion products impulsively in Internet shopping. The less perceived the convenience of checkout & trust in Internet, the more negative emotions they had. However, the less interested Internet shoppers were more likely to buy impulsively fashion products with positive emotions when they perceived various product assortments, and were negatively influenced by the high speed of loading and promotions of Internet shopping mall. The findings provide implications of impulse buying behavior in Internet shopping malls for fashion products.

• Journal of the East Asian Society of Dietary Life
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• v.27 no.3
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• pp.243-256
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• 2017

This study attempted to improve frying powder products based on 272 consumers' purchase conditions. Factor analysis by type was conducted on purchase attributes of consumers who purchased frying powder by categorizing them based on five factors-namely, convenience, information, diversity, safety, and economy. Five main factors were divided into four purchase attributes named various pursuit, convenience pursuit, economical pursuit, and inform/safety pursuit. Purchasing status of frying powder products was analyzed according to three independent variables such as age, meal preparation type, and purchase attributes. The top motivation for using frying powder was convenience. According to the importance-satisfaction analysis survey, taste, expiration date, and certification mark were chosen as highly important and high satisfaction characteristics for frying powder (p<0.001), whereas nutrition, oil absorption, adhesiveness, crispiness, origin, and food additives were highly important and low satisfaction characteristics (p<0.001). In the conjoint analysis, crispiness was the most important attribute of fried food.