• International Commerce and Information Review
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• v.10 no.1
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• pp.33-49
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• 2008

Many foreign enterprises have begun to pay attention to China market recently, and enter this big market successively. Thus, it is very essential and valuable to understand China internet market well, especially the internet shopping mall market, and to find out the best strategy to build the internet shopping mall in China. The purpose of this comparative study is; (a) to compare with college students consumer's attitude and intention to use internet shopping, (b) to understand the use status of China internet shopping and the purchase situation of Chinese consumer, (c) basing on existing research, to master consumers' consideration items while making the purchase decision, and also master the advantages and disadvantages of internet shopping which consumers realized.

• Korean Journal of Human Ecology
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• v.14 no.1
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• pp.155-165
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• 2005

The purpose of this study is 1) to investigate the effects of Internet apparel store attributes, shopping values, Internet usage, and consumers' characteristics on consumers' Internet apparel purchasing behavior; and 2) to identify the influence of Internet apparel store attributes, Internet usage, and consumers' characteristics on the Internet apparel purchasing behavior of hedonic or utilitarian consumers. The data were collected via an online survey. A total of 4,254 Internet users participated in this survey. Only 589 out of the users' reponses were used as a sample for this research, because those users had previously experienced Internet apparel purchasing. Factor analysis revealed five dimensions of Internet apparel store attributes: site design/navigation, promotion programs, trust, product assortment/ information, and customer service. Based on the respondents' shopping value scores, we identified them as hedonic or utilitarian consumers. Through multiple regression analyses, site design/navigation and promotion programs among store attribute variables, hedonistic or utilitarian shopping values, the number of years on the Internet, income, and educational level were found to be significant predictors of Internet apparel shopping frequency. Among them, hedonistic shopping values were the best predictor of Internet apparel purchasing frequency. Based on the Internet apparel purchasers' shopping value, purchasers were divided into two groups. For hedonic Internet apparel shoppers, the number of years on the Internet, educational level, sex, age, and income were significant predictors of Internet apparel shopping behavior. On the other hand, promotion programs among store attribute variables was the only significant factor that affects utilitarian consumers' Internet apparel shopping behavior.

• Korean journal of food and cookery science
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• v.29 no.4
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• pp.367-376
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• 2013

The objectives of this study are to provide the food market of internet shopping malls with effective marketing data, to provide basic data for the development of related fields of the study, and ultimately to increase the satisfaction of food consumers of internet shopping malls. To achieve the object of this research, a cluster analysis of the research subjects was carried out based on the following 5 factors of food purchasing attribute that had been deduced by a factor analysis by the types of food purchasers: quality characteristics, informativity, convenience, price and diversity. According to the result of the cluster analysis, the research subjects were classified into the 2 clusters of diversity and informativity. The deduced 2 clusters, together with age and occupation among general characteristics, were used as independent variables to find out food purchasing behaviors and satisfaction at internet shopping malls. The results are as follows: Regarding the frequency of food purchasing experiences at internet shopping malls according to occupation, the highest frequency was shown by those involved in service, sales and self-employed businesses; whereas regarding the frequency according to age, those in their 30s and 40s showed the highest frequency. The total amount of money spent on food purchasing for 1 year at internet shopping malls was shown to increase as age increased. The frequency of the purchasing experiences of agricultural products and fish products was shown to be higher as age increased. However, overall purchase satisfaction was highest among those in their 30s, while lowest among those in their 40s. Regarding satisfaction by the types of food purchased via internet shopping malls, satisfaction was relatively higher with common foods and functional foods, while lower with fish products. Taken together, it was concluded that purchasing behaviors at internet food shopping malls, such as the frequency of purchasing experiences and purchase amount, varied depending on age rather than purchasing attribute. Accordingly, in order to vitalize internet food shopping malls, it would be necessary to provide customized food shopping information for individual age groups.

• Management & Information Systems Review
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• v.22
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• pp.85-115
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• 2007

Following is discovered in this study by some. First, attribute(product/non- product) of that truth that get through experiment of this study is WOM deduced result that have statistical meaning in dependent variable which is public trust only in this study. Specially, information by word of mouth type received High positive response more with non-product information by word of mouth attribute than the product attribute in all experiment products that is parted according to involvement. Consumer's response by involvement level of product can affect for site attitude, public trust, and intention to purchase by second. For example, consumer's site attitude has induced the most positive response, and can confirm positive response of High consumer most in that involvement sensitivity product in that participation reason type product and could confirm response that is the most positive in that involvement reason product even if there is for intention to purchase. Result of this study is grasped that have High mean value relatively in site attitude, product attitude, information by word of mouth effect, public trust, brand attitude, purchase intention etc. generally that product involvement and information by word of mouth attribute are interrelation by third. This can change fairly data processing process according to consumer's Involvement Level, behavior deterministic process, consumer's action with attitude formation process, and involvement for products. High occasion than is low incline more efforts in information retrieval and is discreet result such as study finding of produce.

• Journal of Korea Multimedia Society
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• v.12 no.5
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• pp.688-698
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• 2009

The market for Internet fashion/coordination shopping malls has been enormously increased year by year. However, online shoppers feel inconvenient because most of Internet shopping malls still rely on item classifications by category and do not provide the functionality in terms of which shoppers can find clothes they want. In an effort to build a fashion/coordination system for women's dress adopting the Heuristic-based method, one of the Context-based methods, we present a method for defining characteristics of a woman's dress as attributes and their inheritance relations, which can be input by a product manager. We also compare and analyze various methods for recommending the most similar clothes.

• Asia pacific journal of information systems
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• v.12 no.1
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• pp.1-16
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• 2002

Most of searching systems used by shopping-mall provide too much information for user requirements or fail to provide appropriate items reflecting customer's preference. This paper aims to design and implement the product searching systems based on customer preference which will enable efficient product selection in the internet shopping-mall. The proposed system consists of user/provider interface, searching and model agent, data management system, and model management system. Especially, we construct the searching pattern database to support fast search using association mining method. And this system includes the customer-oriented decision model which shows the highly preferred products. Input weight value per attribute and preference level should be needed to compute priority grade of preference.

• Journal of the Korean Society of Costume
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• v.61 no.5
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• pp.64-76
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• 2011

Consumers attribute human personality to products or stores as well as brands. As brand personality is imprinted to a consumer's mind, in e-commerce, the concept of store personality needs to be examined by comprehending the e-brand personality. Unlike the recent studies that focus primarily on the portal site, we attempt to identify e-brand personality of online shopping malls that sell fashion products. This study also examined the impact of the parent company's attributes on e-brand personality. A survey was conducted to 240 females and 240 males in their 20s or 30s. E-brand personality of three different types of the Internet shopping mall was evaluated by 160 respondents, respectively. As a result, we found that Internet shoppers perceive that e-brands have four distinct personality dimensions: young, reliable, sophisticated, and creative. Among the four dimensions, "young" and "reliable" showed the most significant influence on intention to visit the shopping mall site. Besides, e-brand personality varied with parent companies' attributes such as reputation, credibility, and fashion industry-relatedness. Especially, credibility of the parent company showed a strong positive relationship with e-brand personality.

• Management & Information Systems Review
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• v.30 no.1
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• pp.211-226
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• 2011

This study was intended to investigate the attributes of the Internet shopping mall and to examine the effects of each attribute on the consumer purchase intention. 279 valid responses of total 300 questionnaire were used for the analysis of this study. Both the exploratory factor analysis and reliability analysis were conducted to evaluate the conceptual validity and internal coherence of the determining variables and the use intention. The factor analysis resulted in identifying the five factors of the Internet shopping mall and on the multiple regression analysis, three of the five identified factors were found to affect significantly the purchase intention. According to the verified results interactivity(t=4.384) was found to affect positively the use intention, while privacy risk(t=-2.985) and delivery risk(t=-2.257) were found to affect negatively the purchase intention. Managerial suggestions are recommended as the results of analysis. It is urgently necessary for decreasing countermeasures delivery risk and privacy risk to enhance purchase intention of customers in internet shopping malls. Especially obtaining more information on consumers gives short-term advantages to marketers, perceived slackness in privacy will hinder purchase intention in internet shopping malls in the long run by causing distrust of consumers. Other limitations and future research directions are also mentioned.

• Journal of the Korea Society for Simulation
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• v.18 no.2
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• pp.39-48
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• 2009

This study reviews the limit of image search by considering on the image search methods related to content-based image retrieval and suggests a user interface for more efficient content-based image retrieval and the ways to utilize image properties. For now, most studies on image search are being performed focusing on content-based image retrieval; they try to search based on the image's colors, texture, shapes, and the overall form of the image. However, the results are not satisfactory because there are various technological limits. Accordingly, this study suggests a new retrieval system which adapts content-based image retrieval and the conventional keyword search method. This is about a way to attribute properties to images using texts and a fast way to search images by expressing the attribute of images as keywords and utilizing them to search images. Also, the study focuses on a simulation for a user interface to make query language on the Internet and a search for clothes in an online shopping mall as an application of the retrieval system based on image attribute. This study will contribute to adding a new purchase pattern in online shopping malls and to the development of the area of similar image search.

• Management & Information Systems Review
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• v.30 no.2
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• pp.1-25
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• 2011

In this study, a survey of online coupon user in their 20's and 30's was undertaken to explore how e-coupon attribute, perceived risk affect the intention to continuously use online coupons through mediation of online coupon user satisfaction. Four variables were used as E-coupon attribute variables(economy, amusement, reliability, usefulness) with coupon type and gender being used as moderating variables. The analysis results of relationship between e-coupon attributes, perceived risk and online coupon user satisfaction indicated that amusement, usefulness significantly affected online coupon user satisfaction, and this, in turn, significantly affected the intention to continuously use online coupons. In addition, the test of difference between groups in coupon type and gender, two moderating variables used in this study, found that with respect to coupon type, a moderating effect existed in reliability, usefulness whereas for gender, a moderating effect existed in only reliability. It is considered that this study will provide a credible evidence basis for Internet shopping malls in establishing a coupon promotion strategy including a specific promotional mix best suited to their needs and resources, while implicating that offering highly reliable online coupons will contribute to enhancing satisfaction level among customers using online coupons.