• Title/Summary/Keyword: Association

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Effect of eco-label recognition on corporate association and purchasing intention in fashion business (패션비즈니스에서 소비자의 에코라벨 인지도가 기업연상과 구매의도에 미치는 영향연구)

  • Shin, Sangmoo;Kim, Min Jung
    • The Research Journal of the Costume Culture
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    • v.23 no.3
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    • pp.523-536
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    • 2015
  • Corporate association-which refers to consumers' beliefs, knowledge, perceptions, and evaluations of a corporation -can affect consumers' purchasing intentions. Corporate association consists of corporate ability association and corporate social responsibility association. Corporate ability association refers to a company's product quality, corporate innovation, productivity, consumer orientation, and after service. Corporate social responsibility association, which refers to the social perspective a company has of its responsibility to society, can affect corporate image and consumers' purchasing intentions. Eco-labeling for protecting and sustaining the environment is one of the important green marketing strategies in the fashion business that can influence corporate association and consumers' purchasing intentions. The purpose of this study was to investigate the effect of consumers' eco-label recognition on their corporate association and intentions to purchase eco-friendly fashion products. Questionnaires were distributed to consumers. The 263 usable questionnaires that were returned were analyzed by descriptive statistics, Cronbach's alpha, factor analysis, regression analysis, and t-test. The results were as follows: There was a significant effect of eco-label recognition on corporate association (ability association and social responsibility association). Eco-label recognition and corporate association were found to significantly affect consumers' purchasing intentions. Regarding the eco-friendly fashion product buying experience, there was no significant difference on corporate association and buying intention, but there was significant difference on eco-label recognition.

CLASSIFICATION OF ASSOCIATION SCHEMES WITH 18 AND 19 VERTICES

  • Hanaki, A.;Miyamoto, I.
    • Journal of applied mathematics & informatics
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    • v.5 no.3
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    • pp.633-642
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    • 1998
  • The isomorphism classes of association schemes with 18 and 19 vertices are classified. We obtain 95 isomorphism classes of association schemes with 18 vertices and denote the representatives of the isomorphism classes as subschemes of 7 association schemes. We obtain 7 isomorphism classes of association schemes with 19 vertices and six of them are cyclotomic schemes.

A Study for Statistical Criterion in Negative Association Rules Using Boolean Analyzer

  • Lee, Keun-Woo;Park, Hee-Chang
    • Journal of the Korean Data and Information Science Society
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    • v.19 no.2
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    • pp.569-576
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    • 2008
  • Association rule mining searches for interesting relationships among items in a given database. Association rules are frequently used by retail stores to assist in marketing, advertising, floor placement, and inventory control. There are three primary quality measures for association rule, support and confidence and lift. Association rule is an interesting rule among purchased items in transaction, but the negative association rule is an interesting rule that includes items which are not purchased. Boolean Analyzer is the method to produce the negative association rule using PIM. But, PIM is subjective. In this paper, we present statistical objective criterion in negative association rules using Boolean Analyzer.

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A Study for Statistical Criterion in Negative Association Rules Using Boolean Analyzer

  • Shin, Sang-Jin;Lee, Keun-Woo
    • 한국데이터정보과학회:학술대회논문집
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    • 2006.11a
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    • pp.145-151
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    • 2006
  • Association rule mining searches for interesting relationships among items in a given database. Association rules are frequently used by retail stores to assist in marketing, advertising, floor placement, and inventory control. There are three primary quality measures for association rule support and confidence and lift. Association rule is an interesting rule among purchased items in transaction, but the negative association rule is an interesting rule that includes items which are not purchased. Boolean Analyzer is the method to produce the negative association rule using PIM. But PIM is subjective. In this paper, we present statistical objective criterion in negative association rules using Boolean Analyzer.

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Concrete Association and Abstract Association in Color (색채의 구체적 연상과 추상적 연상)

  • Shin, Seong-Yoon;Baek, Jeong-Uk;Lee, Hyun-Chang;Rhee, Yang-Won
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2010.10a
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    • pp.655-656
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    • 2010
  • Color association is reminding you that is related to the means, events, or experience by the color impression. These kinds of associations was largely concrete association and abstract associations. In this paper, look at the features and examples of concrete association and abstract associations, and look at the abstract association and the concrete associations of typical colors. In addition, find out about the similarities and difficulties or color association.

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