• The Research Journal of the Costume Culture
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• v.20 no.6
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• pp.895-911
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• 2012

The purpose of this study was to examine consumers' perceptions of eco-friendly children's-wear and their impact on the selection criteria for children's-wear and stores. A descriptive survey method using a self-administered questionnaire was employed. The sample consisted of mothers with children under the age of 13 residing in Seoul and the Gyeonggi area. Data were collected from September 2011 to October, 2011. The collected data were analyzed to find the differences between purchasers and non-purchasers of eco-friendly children's-wear in terms of their perceptions of eco-friendly children's-wear, as well as the influence of these perceptions on the consideration degree of criteria for the selection of children's wear and store. The results indicate that perceptions of eco-friendly children's-wear implied five key factors related to quality reliability, expected value, style, degree of recognition, and dissatisfaction with design and price. The results also revealed some differences between the group purchasing eco-friendly children's-wear and the group not purchasing eco-friendly children's-wear. These different perceptions were related to the aspects of quality reliability, expected value, style, degree of recognition. In general, the non-purchasing group displayed a lower mean score than the purchasing group. Both groups showed a low interest in aesthetic appreciation and the degree of recognition factor. The results showed that consumer's perceptions of eco-friendly children's-wear had an influence on the criteria for the selection of children's-wear and store type in both groups. Considering the findings of the study, it is clear that both purchasers and non-purchasers of eco-friendly children's-wear showed differences in their perceptions and purchasing behavior. Therefore, marketing strategies to appeal to the non-purchasing group should be differentiated from strategies used to ensure the loyalty of the purchasing group.

• Journal of Intelligence and Information Systems
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• v.22 no.3
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• pp.129-142
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• 2016

Customer product reviews have become one of the important factors for purchase decision makings. Customers believe that reviews written by others who have already had an experience with the product offer more reliable information than that provided by sellers. However, there are too many products and reviews, the advantage of e-commerce can be overwhelmed by increasing search costs. Reading all of the reviews to find out the pros and cons of a certain product can be exhausting. To help users find the most useful information about products without much difficulty, e-commerce companies try to provide various ways for customers to write and rate product reviews. To assist potential customers, online stores have devised various ways to provide useful customer reviews. Different methods have been developed to classify and recommend useful reviews to customers, primarily using feedback provided by customers about the helpfulness of reviews. Most shopping websites provide customer reviews and offer the following information: the average preference of a product, the number of customers who have participated in preference voting, and preference distribution. Most information on the helpfulness of product reviews is collected through a voting system. Amazon.com asks customers whether a review on a certain product is helpful, and it places the most helpful favorable and the most helpful critical review at the top of the list of product reviews. Some companies also predict the usefulness of a review based on certain attributes including length, author(s), and the words used, publishing only reviews that are likely to be useful. Text mining approaches have been used for classifying useful reviews in advance. To apply a text mining approach based on all reviews for a product, we need to build a term-document matrix. We have to extract all words from reviews and build a matrix with the number of occurrences of a term in a review. Since there are many reviews, the size of term-document matrix is so large. It caused difficulties to apply text mining algorithms with the large term-document matrix. Thus, researchers need to delete some terms in terms of sparsity since sparse words have little effects on classifications or predictions. The purpose of this study is to suggest a better way of building term-document matrix by deleting useless terms for review classification. In this study, we propose neutrality index to select words to be deleted. Many words still appear in both classifications - useful and not useful - and these words have little or negative effects on classification performances. Thus, we defined these words as neutral terms and deleted neutral terms which are appeared in both classifications similarly. After deleting sparse words, we selected words to be deleted in terms of neutrality. We tested our approach with Amazon.com's review data from five different product categories: Cellphones & Accessories, Movies & TV program, Automotive, CDs & Vinyl, Clothing, Shoes & Jewelry. We used reviews which got greater than four votes by users and 60% of the ratio of useful votes among total votes is the threshold to classify useful and not-useful reviews. We randomly selected 1,500 useful reviews and 1,500 not-useful reviews for each product category. And then we applied Information Gain and Support Vector Machine algorithms to classify the reviews and compared the classification performances in terms of precision, recall, and F-measure. Though the performances vary according to product categories and data sets, deleting terms with sparsity and neutrality showed the best performances in terms of F-measure for the two classification algorithms. However, deleting terms with sparsity only showed the best performances in terms of Recall for Information Gain and using all terms showed the best performances in terms of precision for SVM. Thus, it needs to be careful for selecting term deleting methods and classification algorithms based on data sets.

• Journal of Global Scholars of Marketing Science
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• v.14
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• pp.59-80
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• 2004

As industrial development standardizes the quality of products, people are increasingly attracted by a certain brand with intangible value. Consumers, surrounded by a variety of brand in a market, want to have relationships with specific brands reflected by their personality. Especially in fashion, brand personality is more important since products are highly involved in terms of personal emotion. The purpose of the study is to identify the dimension of overall fashion brand personality, to specify the 'Dimension of Fashion Brand Personality' according to fashion product categories (i.e., formal wear, casual wear, sports wear), and to investigate the effect of each dimension of fashion brand personality on brand preference and purchase intention. The results were as follows: Firstly, based on Aaker(1997)'s 'Big five factors' and selection fashion brand personality factors from our pretest, the fashion brand personality factors were verified as 'Fashionable/ Innovative', 'Sincere', 'Universal! Stable', 'Professional'. Secondly, according to fashion product categories, brand personality was defined as below. Brand personality for formal wear included 'Innovative/ Active', 'Stable', 'Professional', and 'Universal'. Brand personality for casual wear included 'Fashionable/ Innovative', 'Active', 'Sincere', and 'Stable'. Brand personality for sports wear included 'Innovative', 'Social', 'and 'Sincere'. Finally, overall fashion brand personality factors (' Sincere', 'Universal! Stable', 'Professional') influenced on brand preference and purchase intention. In formal wear, 'Professional' influenced on brand preference and purchase intention. In casual wear, 'Active' influenced on brand preference, but 'Fashionable' and 'Sincere' influenced on purchase intention. In sports wear, 'Sincere' influenced on brand preference and 'Innovative' influenced on purchase intention.

• The Research Journal of the Costume Culture
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• v.15 no.1 s.66
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• pp.98-112
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• 2007

The purpose of this study was to identify the differences in store evaluative criteria, clothing evaluative criteria, and purchasing behavior for casual wear among groups with different types of shopping orientation. Data were collected from 175 female and 169 male college students living in Beijing, and analysed by factor analysis, cluster analysis, ANDVA, Duncan test, crosstabulation analysis, and frequency analysis. Chinese college students were classified into four groups by their shopping orientations; fashion-pursuit type, individuality-pursuit type, practical type, and apathetic type. Significant differences were found in store evaluative criteria, clothing evaluative criteria, purchasing behaviors, and demographic characteristics. The fashion-pursuit type and individuality-pursuit type were more influenced by store location and service, product attributes, and fashion. They purchased more frequently and spent more money. Esthetic clothing evaluative criteria were considered more important by the individuality-pursuit type than the others, and symbolic clothing evaluative criteria by the fashion-pursuit type.

• Proceedings of the Korean Fiber Society Conference
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• 2003.04a
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• pp.283-286
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• 2003

PCP(pentachlorophenol)는 독일 법규 혹은 에코라벨 부여기준 시 고려되는 항목으로서, 인체에 유해한 물질로 규정되어 섬유제품 내에 0.5 ppm 이상 존재해서는 안 되며 특히, 유아복은 0.05 ppm 이하로 검출되어야 한다. 유럽 수출시 PCP의 검출로 인해 수출 장벽이 되었던 한 원단제품의 경우를 보면, 외국 시험기관에서 positive 혹은 negative의 판정만을 알려주므로, 원단을 생산한 염색공장이나 원단을 구매하여 수출한 바이어 모두 해결책을 찾기에 애로사항이 있는 경우가 적지 않게 발생하고 있다. (중략)

• The monthly packaging world
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• s.276
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• pp.98-101
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• 2016

월간 포장계에서는 금번 4월호부터 12월호에 걸쳐, 패키지디자인에 있어서의 심리학의 중요성을 피력해 보고자 한다. 본 지는 이를 통해 패키지디자이너는 물론 경영자, 패키지 관련 용기, 기계, 재료 등 전 분야의 종사자들이 패키지디자인을 하는데 있어서 마케팅적 사고의 범주에서 벗어나 소비자 심리를 이해하고 공감하기를 기대해 본다. 본 고에서는 '포장디자인은 소비자 기억을 촉진시키도록 디자인되어야 한다'는 명제 아래, 패키지디자인은 기업의 일방적인 메시지에 앞서 소비자가 원하는 정보를 소비자 가치 기준에 맞춰 디자인해야 할 것을 강조해 보고, 소비자의 기억을 촉진시켜 구매로 유도하기 위해 전략적으로 디자인 해야할 것을 제시해보도록 한다.

• Bulletin of Korea Environmental Preservation Association
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• s.398
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• pp.16-19
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• 2012

기업 가치사슬에서 발행하는 온실가스 평가란 원료 구매, 제품의 생산, 판매 단계 등 기업 활동 전반에 걸쳐 기업 활동이 기후변화에 미치는 영향을 온실가스 배출량으로 산정하는 것을 말한다. 온실가스 배출원을 기업의 활동 경계를 기준으로 하여 Scope1, Scope2, Scope3으로 나누어진다. 이중 Scope3는 기업이 직접 배출하지 않더라도 기업 가치사슬에서 간접적으로 배출되는 온실가스에 연관된 영역이다. Scope3의 영역은 기업이 직접 관리할 수 없어 본질적으로 감축이 어렵다. 하지만 앞으로 국가 수준보다는 기업 수준에서 배출량을 제한하는 규제가 더욱 강화될 전망이며, 이에 따라 기업이 Scope3도 산정에 포함해야 하는 시점이 다가오고 있다.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10a
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• pp.37-39
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• 2003

구매자와 판매자를 대신하는 협상 에이전트는 전자상거래에서의 중요성에도 불구하고 아직까지 현실 생활에 적용될 수 있는 수준에 이르지 못하고 있다. 본 논문에서는 Tip-off 정보를 이용해 상호 이익을 보장하며 협상 결과 및 협상 수행 시간을 동시에 고려한 다중 속성 협상 시스템을 제안한다. 제안 시스템의 성능을 평가하기 위한 기준 시스템으로써 양자간 모든 정보를 가지고 최적 협의를 도출할 수 있는 중개 에이전트 시스템을 구현하고 이를 본 논문에서 제안한 협상시스템과 비교하였다. 본 논문에서 제안한 시스템은 상대방의 모든 정보를 완벽하게 알지 못하는 상황에서 최적의 협의에 가까운 결과를 도출하였고. 협상 수행시간에 있어서는 매우 빠른 성능을 보여주었다.

• Proceedings of the KIEE Conference
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• 2004.11b
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• pp.287-289
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• 2004

Korea adopted feed-in-tariff system for diffusing the generation using renewable energies in 2002. But, there are many debatable issues about Korea's feed-in-tariff system, such as application duration and tariff level by the renewable energies. This paper surveys problems and issues which has been discussed for two years.

• Monthly Duck's Village
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• s.239
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• pp.6-12
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• 2023

경기도는 올해 4월 기준 전국 사육 대비 2% 정도 규모인 12농가 15만마리의 오리를 사육하고 있으며 주로 안성 지역에 사육이 집중돼 있다. 경기도의 오리 정책은 가축전염병 예방과 쾌적한 사육환경 조성을 중점으로 오리 바이러스간염 예방약품 지원, 방역선진형 농장 조성, CCTV 등 방역인프라 지원, 동절기 가금농가 사육제한 휴업보상, 축사시설현대화, 사료구매 지원, 가금 경쟁력 강화사업 등을 추진하고 있다. 경기도의 조류인플루엔자(AI) 방역상황을 점검해 보고 오리 방역정책을 중점적으로 살펴보자.