• Asia pacific journal of information systems
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• v.14 no.2
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• pp.1-20
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• 2004

Finding the factors to affect the success of the business web sites is critical to enhance their competitiveness. This paper categorizes these factors into 4 quality measures: system, information, service and entertainment. The success is measured via user's satisfaction and loyalty. It surveys 474 Internet users to explore the effect of the quality measures on web site success. We confirm the causal effect of quality factors on users' satisfaction and loyalty. Furthermore, a comparative study is performed for web site types, such as finance, e-commerce(shopping mall), and entertainment. We note that the effect differs in web site types.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2003.05a
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• pp.349-359
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• 2003

Finding the factors to affect the success of the business web sites is critical to enhance their competitiveness. This paper categorizes these factors into 4 quality measures: system information, service and entertainment. The success is measured via user's satisfaction and loyalty. It surveys 474 Internet users to find the effect of the quality measures on web site success empirically. We confirm the causal effect of quality factors on users' satisfaction and loyalty. Furthermore, a comparative study is performed fur Web site types, such as finance, e-commerce (shopping mall), and entertainment. We note that the effect differs in web site types.

• Journal of the Korea Safety Management & Science
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• v.8 no.5
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• pp.193-209
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• 2006

Multiple regression is used to examine the relationship between a set of two or more independent variables and one dependent variable. It provides the information necessary to make predictions of the dependent variables based on several independent variables. To do so, the multiple regression equation is extended to: y=$a+{\beta}_1x_1+{\beta}_2x_2+{\ldots}+{\beta}_kx_k$ y=attractiveness a=the value of the intercept ${\beta}_1$=the slope(weighting) of the first variable ${\beta}_1$= the slope(weighting) of the second variable ${\beta}_k$=the slope of the $\kappa$th variable The resulting regression equation of this research is y=$a+{\beta}_1site's\;system+{\beta}_2customer\;satisfaction+{\beta}_3products+{\beta}_4delivery$ y=3.233+0.374(site's system)+0.268(customer satisfaction)+0.17(products)+0.077(delivery)

• Journal of Fashion Business
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• v.16 no.4
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• pp.1-12
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• 2012

This study made an analysis on the relation and influence between outdoor wear benefit, clothing selection criteria and purchasing satisfaction. Survey was conducted targeting 20s-30s males and females who have experience of purchasing outdoor wear and 335 sheets of questionnaire were used for final analysis. And statistics package SPSS16.0 was used for analysis of collected materials. A group seeking the trendy brand turned out to give considerable thought to the brand and trend and purchase less than 100,000won at the discount outlet. A group pursuing functional practicality puts an emphasis on the activity and use, and purchases at the internet shopping mall or department store. Regarding material, function, design, style and color as important, a group pursuing individuality and appearance turned out to purchase clothing at various places such as discount outlet, specialty store and internet. A group that is indifferent to clothing appeared not to care about specific elements when selecting outdoor wear. The result of study showed that consumers of outdoor wear show purchasing satisfaction in respect of design, style, color or trend.

• Journal of Global Scholars of Marketing Science
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• v.7
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• pp.261-281
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• 2001

As a new environment, the Internet proposes to us the innovative change of our life. With difficulty, we can go after the Internet's potentiality and the growth speed of technology. In the new stream of innovation technology, we can probably feel the fear of tremendous changes, the reverse, also hope to get the opportunity that come out of Internet world. EC(Electronic Commerce) that out of the evolution of Internet technology gets a coporation changes to survive in 21st century. So the corporation must set the strategy to fit a Internet focused society. As one of them, a virtual store is opened on the Internet. Recently, there has been much attention to the Internet shopping mall as a new distribution channel and marketing tool. This study analyzed that the system environment, perceived product risk, easy of order, perceived security risk would have impact on the customer satisfaction in Electronic Commerce. The Purpose of this study is to develope the concept of the determinants of customer satisfaction and to test a theoretical framework that attempts to explain how the perception of satisfaction in Electronic Commerce. The proposed hypotheses were tested internet shopping mall users and the study results show all hypotheses are supported.

• Journal of the Korea Fashion and Costume Design Association
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• v.18 no.2
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• pp.177-190
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• 2016

On-line consumer reviews are good references for consumers to evaluate and buy apparel products. The objective of this study is to facilitate communication about performance textiles between consumers and merchandisers who buy and sell apparel products on online. The survey was based on standardizing words used in consumer reviews written after purchase of summer knit t-shirts at internet shopping mall and evaluating the performance textiles including cellulose fibers. We collected reviews of five sorts of the clothing products including cotton/modal, tencel/polyurethane, polyester/rayon, linen, cotton and selected 1000 reviews related to textiles. For classifying each word used in the reviews by the performance textiles, they were quantified applying same standards. The results were as follow: First, the standard for consumer to consider importantly was tactile sensation, appearance, pilling, thickness, dimensional stability in washing. Second, the important category of performance textiles was healthy-comfort and psychological-comfort. Third, there were difference performance textiles for consumer to recognize, e.g. cotton/modal was important to air-permeability, tencel/polyurethane was noticed about tactile sensation, polyester/rayon was perceived about pilling unlike other things, linen had a problem of clothing care-convenience, then cotton was familiar fiber to important for appearance. The last, consumers usually focused on writing the most positive or negative online reviews. Although not familiar with professional terminologies, consumers are sensitive to physical properties of textiles. Therefore, standardizing and evaluating performance textiles are expected to improve satisfaction as providing objective information to consumers considering in buying apparel products at online shopping mall and increase in revenue to manufacturer.

• Science of Emotion and Sensibility
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• v.23 no.1
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• pp.3-16
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• 2020

Recently, as the fashion e-commerce market has expanded, the proportion of online shops that are growing rapidly has increased and with them so too has competition. Most retailers operating online shops need their own competitiveness, and accordingly, the need to develop their logistics service quality components is increasing. This study investigated the quality of the logistics services, which is a factor of the logistics service quality of the internet shop. It influences customer satisfaction and repurchase intention by collecting samples from the customers using online fashion shops. Two hundred customers who shop online were surveyed to extract the data. The sample was subjected to basic statistical analysis using the SPSS 25.0 package, and factor analysis, t-test, ANOVA, and correlation analysis were performed. The results of this study showed that the information quality of proactive return, promptness of the return process, and reliability of the return cost had a positive impact on customer satisfaction, and it had a significant influence on the customer's repurchase intention to the online store. A selection of shops showed high amounts of return reasons, high customer satisfaction, and high repurchase, whereas, in general, many others scored poorly across these criteria. This suggests that a retailer operating online should consider pages for receiving information plus sales content in addition to the quality and constituent factors of its logistics services for returns that influence repurchase and satisfaction.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.9
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• pp.1504-1514
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• 2010

Relationship marketing can be one of the most efficient strategies to enable a company to achieve business success in the recent marketing environment of tough competition and the diverse desires of consumers for new products. Using relationship marketing instead of mass marketing can help a company increase profits. For proper research in relationship marketing, it is indispensable to study relationship benefits. This study provides specific information in terms of relationship benefits to help develop the marketoriented strategy of a company. The results are as follow. The relationship benefit had a significantly positive effect on relationship quality (trust, satisfaction, and commitment). A relationship benefit was divided into three dimensions: customization benefit, informational benefit, and emotional benefit. Especially, emotional benefit appears as the most positive effect on satisfaction and the customization benefit appeared as the most positive effect on trust and commitment. The customization benefit and emotional benefit had a significantly positive effect on long-term relationship orientation, repurchase intention, and word of mouth. Informational benefit was not a significant influence on repurchase intention and word of mouth. Customization benefit appeared the most positive effect on long-term relationship orientation and word' of mouth. Emotional benefit appeared the most positive effect on repurchase intention. The relationship quality had a significantly positive effect on relationship performance. The findings of this study provide both industry and academic researchers with a guide to increase customer satisfaction in the relationship marketing process.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.2
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• pp.328-339
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• 2005

The purpose of this study were to extract and empirically examine the effect variables on phase performance of relationship development process by identifying relationship development process between apparel store and customer. The questionnaires was asministered to 333 women frequency use of a department store, big shopping mall, discount store in Gwang-ju city during March 4-11, 2003. The data was analyzed by factor analysis, correlation analysis, and Structural Equation Model using LISREL 8.30 program. As the results, the perceived service quality with attractive factor of relationship explration phase direct positively influenced customer satisfaction among relationship expansion phases. However, relational benefit directly influenced customer satisfaction with the primary phase of relationship maintain as well as trust, customer commiment and long-term orientation. Also, customer satisfaction direct positively influenced trust, and customer' trust direct positively influenced customer commitment. Finally, the customer commitment direct positively influenced long-term orientation.

• Asia Marketing Journal
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• v.10 no.2
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• pp.125-151
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• 2008

Both companies and consumers are highly interested in on-line customer reviews which enable consumers to share their experience and knowledge about products. In this study, after classifying real reviews into context units and deriving categories, we analyzed differences between categories based on channel(manufacturers' homepage/ shopping mall), product attribute(search/experience) and price(high/low). The method to derive categories is based on roughly adopting constructs of ACSI model and elaborate and repetitive classification of real reviews. We set up the classification category with 3 levels. Level 1 consists of product and service, level 2 consists of function, design, price, purchase motive, suggestion/user-tip and recommendation/repurchase in product and AS/up-grade and delivery/others in service and level 3 is composed of details of level 2 of category. We could find remarkable differences between channels in all 8 items of level 2 of category. As the number of context units in homepage is more than in shopping mall, we found reviews in homepage is more concrete. Moreover, overall satisfaction in review was higher at homepage's. Also, in product attribute dimension, we found different patterns of reviews in design, purchase motive, suggestion/user-tip, recommendation/repurchase, AS/up-grade and delivery/others and no difference in overall customer's satisfaction. In price dimension, we found differences between high and low price in design, price and AS/up-grade and no difference in overall customer's satisfaction.