• Journal of Fashion Business
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• v.9 no.2
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• pp.131-142
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• 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.

• Journal of the Korean Home Economics Association
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• v.40 no.5
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• pp.179-193
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• 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.

• Journal of Distribution Research
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• v.15 no.2
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• pp.101-122
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• 2010

In this study, it is explored whether positive and negative emotions affected hedonic and utilitarian values experienced while shopping apparel in the Internet. In addition, the effect of hedonic and utilitarian shopping values on store approach behaviors was explored. For this study, Babin and Attaway's research model that was used for off-line shopping malls was adopted to investigate the relationships among research variables. Data obtained through experiments with 278 female college students were submitted for an analysis. Exploratory and confirmatory factor analysis and structural equation modeling with AMOS 6.0 were used to analyze data. Based on the model test, negative emotions negatively affected hedonic and utilitarian shopping value perception while positive emotions positively affected hedonic and utilitarian shopping value perception for the Internet apparel shopping site. Hedonic and utilitarian shopping values positively influenced attitude toward the Internet shopping site while only utilitarian shopping value affected revisiting Internet apparel shopping site. Managerial and academic implications were generated based on results.

• Journal of Distribution Science
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• v.15 no.4
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• pp.69-78
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• 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.

• The Research Journal of the Costume Culture
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• v.16 no.5
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• pp.910-923
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• 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.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.2 s.161
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• pp.236-246
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• 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.

• Journal of Global Scholars of Marketing Science
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• v.11
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• pp.1-19
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• 2003

Typicality is usually defined as the degree to which an item is perceived to represent a category. Typicality has been a important subject in consumer behavior because it is related closely with brand preference, awareness and top of mind. The past studies about typicality have focused on brand and store in off-line environment. At the point of time internet shopping mall industry becomes mature, we can expect that most internet users are accustomed to it. So the study about typicality of internet shopping mall is timely. The antecedents and outcomes of typicality of internet shopping mall are mainly studied in this paper. Also, I investigated the influence of the type of internet shopping mall on typicality and the influence of typicality on preference and purchase intention. The followings are the results of this study. Firstly, frequency of exposure and attribute structure explained perceived typicality. Secondly, the type of internet shopping mall was found to be a moderator of the relationship between attribute structure and typicality. Thirdly, there is a positive correlation between typicality and preference. Finally, there is a positive correlation between typicality and purchase intention.

• Journal of the Korea Society of Computer and Information
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• v.12 no.5
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• pp.215-223
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• 2007

On-Line Shopping mall is becoming important strategic environment that decide corporation's competitive advantages because of that can achieve quality of customer service and offer speed elevation through both-way communication effectively. Accordingly, as interest about electronic commerce rises, various research had been gone. But, most researches are applying off-line market's quality of service measurement tool just as it is doing not consider special quality of internet. Consider and prescribe by system quality, and saw that thing with grasp relation with customer satisfaction along with qualify of service is important for factor that environmental element influences in customer satisfaction as existing commercial transaction in this research hereupon. That is, wished to present quality strategy necessary to examine whether some quality factor of system quality and quality of service affects more customer satisfaction, and satisfy various customer's needs accordingly after ermine whether it are switching and some relation that search purchase alteration availability of market that is different from loyalty which recommend internet shopping mall to another person who is system quality factor and quality of service factor and customer satisfaction factor actively.

• Journal of the Korean Operations Research and Management Science Society
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• v.28 no.4
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• pp.85-104
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• 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.

• Journal of Korea Multimedia Society
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• v.13 no.3
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• pp.467-474
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• 2010

The market of Internet-based fashion/coordination shopping malls have been growing rapidly year by year. In accordance with this growth, Internet fashion shopping malls are also making a lot of efforts to increase their revenue by displaying new fashion products on a high spot or by having professional models wear them to make them more attractive to the customers. If online shopping malls have the functionality of automatically calculating the matching degree of lower and upper clothes, it could play a role of off-line shop assistants and provide a more convenient way of purchasing fashion products for customers. In this paper, we present a learning system adopting the content-based filtering method for online shopping malls, which automatically calculates the matching degree of lower and upper clothes and recommends the most well-matched pair.