• Journal of the Korean Society of Food Culture
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• v.22 no.6
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• pp.705-712
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• 2007

In spite of the fact that the food group(Food, Drinks and Health foods & Agricultural and Marine products) occupies little position in total sales of Internet shopping mall, the food group's sales in cyber shopping mall in 2006 have increased 678.1% over 5 years. In addition to the fact that the food consumption pattern has changed from quality-oriented to convenience, health and safety-oriented, the need to decrease the opportunity cost created by housework is rising in the context of increase of women's work participation rate. The wind of change like these will become the foundation on which cyber food industry will be developed. The factors having an effect on consumer purchasing intentions when one buy foods through internet shopping malls are researched in this thesis. For the investigation, women of 697 were surveyed by a questionnaire, and the data were analyzed by the SPSS for WINDOW(Version 12.0). The result is as follows: Factors having an effect on food purchasing intentions are Convenience(Timesaving, Troublesomeness), Customer service(Responsiveness, Reliability, Empathy, Tangibility), Perceived Customer Risk(Economic, Social, Performance risk) and Shopping experience(Easy to find out, Easy process for payment) in order.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.143-146
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• 2004

With the rapid growth of e-commerce, marketers are able to observe not only purchasing behavior on what and when customers purchased, but also the individual Web usage behavior that affect purchasing. The richness of this information has the potential to provide marketers with an in-depth understanding of customer. Using commonly available Web log data, this paper examines Web usage behaviors at the individual level. By decomposing the buying process into a pattern of visits and purchase conversion at each visit, we can better understand the relationship between Web usage behavior and purchase decision. This allows us to more accurately forecast a shopper's future purchase decision at the site and hence determine the value of individual customers to the siteAccording to our research, not only information seeking behavior but also visiting duration of a customer and participative behavior such as participation in event should be considered as important predicators of purchase decision of customer in a cosmetic internet shopping mall.

• IE interfaces
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• v.24 no.4
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• pp.447-456
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• 2011

Identifying the major moving patterns of shoppers' movements in the selling floor has been a longstanding issue in the retailing industry. With the advent of RFID technology, it has been easier to collect the moving data for a individual shopper's movement. Most of the previous studies used the traditional clustering technique to identify the major moving pattern of customers. However, in using clustering technique, due to the spatial constraint (aisle layout or other physical obstructions in the store), standard clustering methods are not feasible for moving data like shopping path should be adjusted for the analysis in advance, which is time-consuming and causes data distortion. To alleviate this problems, we propose a new approach to spatial pattern clustering based on longest common subsequence (LCSS). Experimental results using the real data obtained from a grocery in Seoul show that the proposed method performs well in finding the hot spot and dead spot as well as in finding the major path patterns of customer movements.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2000.10a
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• pp.349-352
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• 2000

As a lot of people have used electronic commerce, many shopping malls have appeared on the Interne and the shopping information in them has been enormous. So, the need for a system to recommend product to customers is on the increase so as to reduce time and efforts for shopping. In this paper, we suppose a Product Recommender System which is constructed by applying data mining techniques to web for files and analyzing customer's action pattern, customer's profile and product purchase data. This system offers convenience that customers can get their desired information easily, by sending e-mail or mail and recommending web pages when they visit a shopping mall.

• Information Systems Review
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• v.9 no.3
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• pp.99-132
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• 2007

As customer management rises by important issue in electronic commerce, virtue study about CRM have proceeded much. However, because existent researches were positive researches of most statistical base, There are some limitation that does not show dynamic change with CRM flow by flowing of time, and can not forecast propriety and future result about CRM strategy. Therefore, in order to overcome existent limitation on these CRM study, this study designed dynamic model which draws factors that compose CRM strategy of on-line shopping mall, and do based on technique in system dynamics so that can analyze dynamic change between these factors. Concretely, atomized customer focuses in the on-line shopping mall and does based on Permission marketing theory, and applied CRM of different level to atomized customers and know change of customer satisfaction measurement and discomfort degree accordingly. According to the result of Simulation practice, situation that achieve CRM strategy of different level by atomize customer more increase the customer satisfaction than situation that is not so. Dynamic pattern that presented in this study is expected that can verify validity about CRM achievement strategy of different level at each CRM point of contact & how Internet enterprise including on-line shopping mall is establishing CRM strategy reasonably.

• Journal of Global Scholars of Marketing Science
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• v.7
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• pp.147-165
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• 2001

To sustain successful relations with its customers, an internet business enterprise has to understand precisely the difference between customers' behaviour and their purchasing behaviour pattern on its customer basis. For this purpose, I closely looked into what difference there was between a leading variable which had an effect on internet customer long-term orientation and a special variable depending on period of transactions To prove this research, I analyzed collected data in which customers had experienced in shopping at internet shopping mall and discussed strategic current issues about its analytic results.

• Journal of the Korean Data and Information Science Society
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• v.20 no.6
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• pp.1009-1014
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• 2009

The Internet has changed the daily lives of human being in Korea and elsewhere in the world. It has changed the paradigms of traditional commercial activities and created immense opportunities for new business models. Recently, there has been much attention to the internet shopping mall as a means of commercial transaction. To make internet shopping mall competitive, effective customer satisfaction service should be provided and it is necessary to dynamic analysis method for customers' purchasing pattern. In this paper we apply the sequential analysis to comparison of two kinds of sales through the analysis of customers' purchasing pattern.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.06a
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• pp.253-260
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• 2001

Understanding and adapting to changes of customer behavior is an important aspect for a company to survive in continuously changing environment. The aim of this paper is to develop a methodology which detects changes of customer behavior automatically from customer profiles and sales data at different time snapshots. For this purpose, we first define three types of changes as emerging pattern, unexpected change and the added / perished rule. Then we develop similarity and difference measures for rule matching to detect all types of change. Finally, the degree of change is evaluated to detect significantly changed rules. Our proposed methodology can evaluate degree of changes as well as detect all kinds of change automatically from different time snapshot data. A case study for evaluation and practical business implications for this methodology are also provided.

• The Journal of the Korea Contents Association
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• v.10 no.1
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• pp.239-246
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• 2010

This research sees that even interactivities have differences by the types of internet shopping malls and compared and analyzed the interactivities by classifying them into open market and special malls. The research survey was conducted aiming at those who purchased products in Internet shopping malls within the latest 6 months, and, then, a statistical analysis was carried out. The analysis result showed the interactivity in internet shopping malls was deduced as 2 perspectives while it was confirmed that there are differences according to shopping mall types. For open markets, interactivities of both 'between company and customers' and 'between customers and customers' have significant influences on the satisfaction degree. Especially, the interactivity of 'between company and customers' have higher influences on the satisfaction degree. However, for the specialty malls, it was shown that only the interactivity of 'between company and customers' have significant influences on the customer satisfaction degree. Additionally, it was confirmed that the satisfaction degree toward a shopping mall has positive influence even on future recommendation intentions. Such research results confirmed that distinctive strategies which consider the patterns of shopping malls should be applied in order for a company to effectively utilize the interactivity in internet shopping mall markets.

• Proceedings of the Korea Contents Association Conference
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• 2003.05a
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• pp.185-188
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• 2003

Entrance on the stage of electronic commerce based on internet is acting role that take away regional limitation in commercial transaction. This means that must establish common idea until now in commercial transaction newly, That is, feeler escapes in pattern that is been prior and it means that sight is been prior. We say too much may not be even if success and failure availability of electronic commerce shopping mall catches this sight. And, We Must be able to meet and attach goods purchase by construction of shopping mall through development of correct contents about in various desire of costomer. Therefore, in this paper, we recognize and studied about the efficiency of practical use for useful contents to satisfy customer'a desire in shopping mall construction.