• 패션비즈니스
• /
• 제9권2호
• /
• pp.131-142
• /
• 2005

The purpose d this study was to examine situations of fashion jewelry brand industry and to find out the problems in Korean jewelry market. Based on literature review, this paper tried to define jewelry first, and to investigate recent the recent situations or status of fashion jewelry markets. The fashion jewelry brand markets were able to be classified into 2 categories such as off-line retailing and on-line retailing including internet shopping and home shopping. As the result, the most problem was the definition of the fashion jewelry. Also our fashion jewelry markets had some serious problems such as complex distribution structure or lack d technical experts. Based on these results, fashion jewelry marketing strategies would be suggested.

• 대한가정학회지
• /
• 제40권5호
• /
• pp.179-193
• /
• 2002

This study aims to examine the forming procedure of consumer satisfaction from Internet shopping experience. Many studies on the satisfaction have primarily focused on the examination of the antecedents of satisfaction along with the expectation-disconfirmation paradigm dominating the former studies. This study has built an Internet shopping expectation-disconfirmation model as to apply the expectation-disconfirmation into the condition of the Internet shopping. The summary of study represented in following. l. The expectation of risk and performance of benefit had a significantly positive effect on the perceived disconfirmation. In addition, an expectation of benefit and performance of risk had a significantly negative effect on the perceived disconfirmation. 2. A performance of risk and performance of benefit not only had a significantly indirect effect, but also a significantly direct effect on the consumer satisfaction. But expectation of risk and expectation of benefit had no significant direct effect on satisfaction. 3. Not only the perceived disconfirmation had a significant positive effect on satisfaction, but also an effect of the perceived disconfirmation on satisfaction(0.472) is larger than that of the performance of risk or performance of benefit. Meaning that, it is desirable for one to apply the expectation-disconfirmation model into the Internet shopping circumstances as much as the off-line markets.

• 한국유통학회지:유통연구
• /
• 제15권2호
• /
• pp.101-122
• /
• 2010

본 연구에서는 인터넷 쇼핑 사이트를 이용하여 의류 구매시 느끼는 긍정적, 부정적 감정이 쾌락적, 실용적 가치지각에 미치는 영향과, 이러한 쾌락적, 실용적 가치지각이 점포접근행동에 미치는 영향관계를 연구하였다. 이 연구를 위하여 Babin and Attaway가 오프라인 쇼핑 사이트 연구에 활용한 연구모형을 인터넷 쇼핑상황에 적용하여 연구모형을 제시하고 실험자료를 통하여 검증하였다. 인터넷 쇼핑몰을 통해 의류상품을 쇼핑하는 과업을 수행하고 제시된 설문 문항에 응답하도록 하는 실험을 실시하여 278명의 결과가 통계분석에 이용되었으며 탐색적/확인적 요인분석과 Amos 6.0을 활용한 구조방정식 모형 검증을 실시하였다. 구조방정식 모형검증 결과 인터넷 의류 쇼핑 사이트에 대해 부정적인 감정을 많이 느낄수록 사이트에 대한 쾌락적, 실용적 가치지각이 낮았으며, 긍정적인 감정을 많이 느낄수록 사이트에 대한 쾌락적, 실용적 가치지각이 높았다. 이렇게 지각된 인터넷 의류쇼핑사이트의 쾌락적, 실용적 가치는 태도에 긍정적인 영향을 미치나, 재방문의도에는 실용적 가치만이 긍정적인 영향을 미쳤다. 본 연구결과를 바탕으로 이론적, 실무적 시사점들이 제시되었다.

• 유통과학연구
• /
• 제15권4호
• /
• pp.69-78
• /
• 2017

Purpose - The study was AI as exploratory study on artificial intelligence (AI) shopping information services, to explore the possibility of a new business of the distribution industry. For research, we compare to IBM of consumer awareness surveys an AI shopping information service for retailing channel and target goods group. Finally, we present to service scenario for distribution service using AI. Research design, data, and methodology - First, to identify possible the success of the information service shopping using AI, AI technology for the consumer is very important for the acceptance of judgement. Therefore, we explored the possibility of AI information service for business as a shopping. The experimental data were used to interpret the meaning of the relevant literature and the IBM Institute of Business Value (IBV) Report 2015. This research is based on the use of a technical acceptance model (TAM) to determine whether the consumer would adopt the 'AI shopping information service' technology. Step 1 of the process assumes that the consumer adopts AI technology. In step 2, consumers find their preference channels and goods targeted at them as per their preferences. Finally Step 3, we present scenario for 'AI shopping information service' based on the results of Step 1 and 2. Results - Consumers have expressed their high interests in the new shopping information services, especially the on/off line distribution channels can use shopping information to increase the efficiency in provision of goods. Digital channel (such as SNS, online shopping etc.) is especially high value goods such as cars, furniture, and home appliances by displaying it to an appropriate product group. Conclusions - The study reveals the potential for the use of new business models such as 'AI shopping information service' by the distribution industry. We present seven scenario related AI application refer from IBM suggestion, and the findings would enable the distribution industry to approach target consumers with their products, especially high value goods. 'Shopping advisor' is considered to the most effective. In order to apply to the other field of the distribution industry business, which utilizes AI technology, it should be accompanied by additional empirical data analysis should be undertaken.

• 복식문화연구
• /
• 제16권5호
• /
• pp.910-923
• /
• 2008

This study investigated the difference in the influence of shopping orientations, attributes evaluation, and benefits sought on brand loyalty between Korean and American consumers within a clothing purchase context. Questionnaires were administered to 237 Korean consumers and 184 American college students who had purchase experience of casual wear in recent six months through off-line. The results were as follows. First, the hedonic shopping orientation had a positive impact on brand loyalty in both groups, whereas efficient shopping orientation had a positive impact on brand loyalty in American group. Second, the aesthetic attribute had a positive impact on brand loyalty in both groups, whereas utilitarian attribute had a positive impact on brand loyalty in Korean group. Third, brand value benefit sought had a positive impact on brand loyalty in Korean group and body expression/complement had a positive impact on brand loyalty and economic benefit sought had a negative impact on brand loyalty in American group.

• 한국의류학회지
• /
• 제31권2호
• /
• pp.236-246
• /
• 2007

The purpose of the current study is to investigate the underlying reasons of fashion brand repurchase intention formation based on means-end chain theory and to identify whether the price level moderates the relationships between attribute evaluation and re-purchase intention. Questionnaire data from 291 consumers who had purchase experience of casual wear during the last 6 month period through off-line retail shops were analyzed. The results showed that hedonic shopping value had a positive impact on aesthetic attribute and utilitarian shopping value also had a positive impact on physical attribute of fashion product. While aesthetic attribute had a positive influence on brand repurchase intention, physical attribute had no effect on brand repurchase intention. In addition, there was no moderating effect of price level between the links from shopping value to fashion product attribute evaluation. When casual wear companies have to devise price related strategies, they need to pay attention to diverse promotion factors except for product attributes to realize price-based differentiation.

• 마케팅과학연구
• /
• 제11권
• /
• pp.1-19
• /
• 2003

전형성(typicality)이란 하나의 제품이 하나의 범주를 대표하는데 적절하다고 인지되는 정도를 의미하는 것이다. 이러한 전형성은 브랜드 선호도, 인지도, 최초상기율과 밀접한 관련이 있기 때문에 소비자행동연구에서 중요한 연구주제가 되어왔다. 기존의 전형성에 관한 연구들은 제품이나 브랜드 혹은 오프라인상의 점포를 중심으로 이루어졌다. 이제 인터넷쇼핑몰 산업이 성숙기로 나아가는 시점에서 대부분의 인터넷이용자들은 인터넷쇼핑몰에대해 익숙할 것이라 예상할 수 있다. 따라서 인터넷쇼핑몰의 전형성에 대한 연구는 시의적절한 것이라 할 수 있다. 본 연구에서는 기존의 연구들이 전형성의 결정요인으로 지목하고 있는 노출빈도와 속성구조 접근법을 중심으로 인터넷쇼핑몰의 전형성에 대해 살펴보았다. 또한 인터넷쇼핑몰을 순수온라인 인터넷쇼핑몰과 오프라인 기반 인터넷쇼핑몰로 분류하여 이러한 차이가 전형성에 미치는 영향을 검증하였다. 나아가서 전형성이 선호도와 구매의도에 미치는 영향까지 살펴보았다. 그 결과 노출빈도와 속성태도가 높을수록 인터넷쇼핑몰의 전형성이 높은 것으로 나타났으며 인터넷쇼굉몰의 유형에 따른 차이가 속성태도와 전형성의 관계에 영향을 미치는 것으로 검증되었다. 추가적으로 전형성과 선호도, 구매의도와의 관계도 예상대로 정(+)의 관계를 보이는 것을 발견하였다.

• 한국컴퓨터정보학회논문지
• /
• 제12권5호
• /
• pp.215-223
• /
• 2007

온라인 쇼핑몰에 대한 관심이 높아지면서 다양한 연구가 진행되어 왔다. 그러나 대부분의 연구들은 인터넷의 특성을 고려하지 않은 채 오프라인 시장의 서비스품질 측정 도구를 그대로 적용하고 있다. 이에 본 연구에서는 기존 상거래에서처럼 환경적인 요소도 고객만족에 영향을 미치는 요인으로 고려하여 시스템품질로 규정하고, 서비스품질과 더불어 고객만족과의 관계를 파악하는 것이 중요하다고 보았다. 즉, 시스템품질과 서비스품질 중 어느 품질 요인이 고객만족에 더 많은 영향을 미치는지를 살펴보고, 시스템품질 요인과 서비스품질 요인과 고객만족 요인인 타인에게 적극적으로 쇼핑몰을 추천하는 애호도와 전환성과 어떤 관계가 있는지를 살펴본 후 이에 따라 고령친화용품을 중심으로 다양한 고객의 욕구를 충족시키는데 필요한 품질전략을 제시하고자 하였다.

• 한국경영과학회지
• /
• 제28권4호
• /
• pp.85-104
• /
• 2003

Customer retention is more emphasized for internet business than off-line shopping-malls. The loyals not only purchase a lot but also recommend the mall to new customers quickly using internet media, and there have been many studies on this subject. In this study, customer satisfaction and trust are suggested as preceding variables that have an influence on customer loyalty, and switching gains are suggested as a moderating variable between customer satisfaction & trust and customer loyalty. Many people think it would be easier to change business connection and customer loyalty for internet shopping-malls would be very low. This study, however, concluded that customer satisfaction and trust had a significant influence on customer loyalty even in internet shopping-mall, and that switching gains had moderating effect between satisfaction-attitudinal loyalty and trust-behavioral loyalty. These results are meaningful in that customer satisfaction or trust should be emphasized even on internet business and that switching gains can be strategic focus in building up customer loyalty and retention.

• 한국멀티미디어학회논문지
• /
• 제13권3호
• /
• pp.467-474
• /
• 2010

인터넷을 이용하는 패션/코디 쇼핑몰은 그 시장이 매년 큰 폭으로 증가하고 있다. 온라인 패션 쇼핑몰들은 매출을 증가시키기 위하여 신상품을 눈에 잘 띄는 곳에 배치하거나, 모델을 도입하여 상품을 돋보이게 표시하는 등 많은 노력을 기울이고 있다. 그러나, 온라인 패션 쇼핑몰에서 판매하는 다양한 상품들에 대하여 상의와 하의의 어울리는 정도를 자동으로 계산하여 표기할 수 있다면, 오프라인에서의 점원에 의한 추천을 대신하여 사용자들의 연계 구매가 한층 편리할 것으로 기대된다. 본 연구에서는 여성복의 패션 코디네이션 쇼핑몰 구축 시, 내용 기반 필터링 방식(Content-based filtering)의 기계학습을 이용하여 상의와 하의의 어울리는 정도를 자동 계산하여 추천해주는 시스템을 설계하고 구현하였다.