• Journal of the Korean Home Economics Association
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• v.32 no.3
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• pp.227-239
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• 1994

본 연구에서는 중독적 구매행동과 정서(Affect)와의 인과관계를 알아보고 중독적 구매자의 경우 기분전환(mood elevator)을 위하여 구매행동을 하는 것인지를 조사하였다. 연구자료는 설무지조사에 의하여 149명의 피험자(대학생, 시카고 거주자, Debtors Anonymous회원) 로부터 얻어졌다. 중독적 구매행동의 우울증과 낮은 자아존중감을 야기시킬가능성이 역방향으로 우울증과 낮은 자아존중감이 중독적 구매행동을 야기시킬가능성보다 높은 것으로 나타났다. 중독적 구매자는 비중독적 구매자보다 자신에 대하여 부정적 감정을 더 많이 가지고 있었으며(불행한 우울한 불만족한 지루한) 쇼핑하는 동안에는 더 흥분되며 우울하고 쇼핑후에는 더 우울하고 자신감이 더 적어지는 것으로 나타났다. 이러한 결과는 중독적 구매자가 기분전환을 위하여 구매행동을 할것이라는 가정을 지지하지 않았다.

• Journal of Fashion Business
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• v.9 no.5
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• pp.114-121
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• 2005

The purpose of this study was to examine which factors had affected on Internet shopping addiction significantly related to fashion products. 235 female college students were surveyed for this study. For data analysis, descriptive statistics, $X^2$-test, ANOVA and Duncan test were used. As the results, generally Internet shopping addiction was correlated to Internet addiction, impulse, self-esteem, age, the usage time of Internet, and Internet skills. Also, heavy Internet shopping addictive group had higher Internet addictive tendency, impulsive tendency than light Internet shopping addictive group, while heavy Internet shopping addictive group had lower self-esteem than light Internet shopping addictive group. Also, multiple regression results revealed that Internet addictive tendency, self-esteem, impulsive tendency, age accounted for 38.1% of the explained variance in Internet shopping addiction. Based on these results, fashion marketing strategies would be suggested.

• Journal of Fashion Business
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• v.8 no.5
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• pp.136-143
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• 2004

The purpose of this study were to examine 1) the relationship between internet addictive and addictive buying behavior, and 2) addictive purchasing behavior according to internet addictive levels. 220 female college students, who had purchased fashion products through internet were surveyed for this study. For data analysis, descriptive statistics, $X^2$-test, ANOVA, Duncan test, and multiple regression were used. As the results, generally Internet addictive tendency was correlated to compulsive buying, shopping addictive, credit card addictive, self-esteem, and internet flow. Also, there were significantly differences in internet addictive levels with addictive buying behavior. That is, heavy internet addictive group had more shopping addictive, compulsive addictive, and internet flow than middle internet addictive group and light internet addictive group. Also, results revealed that compulsive buying, shopping addictive buying, internet flow and self-esteem accounted for 27.3% of the explained variance in internet addictive tendency. Based on these results, fashion marketing strategies would be suggested.