An Exploratory Study on the Classified by Cluster Analysis of the Internet Shopping Mall Users

인터넷쇼핑몰 이용자의 I-VALS 군집분류에 관한 탐색적 연구

In order for Internet Shopping Mall to be successful, it must have a theoretical framework that considers the characteristics of the Internet shopping mall users. But as of yet, there is virtually no such framework. The purpose of this study is to provide internet shopping mall in our country with the suggestive point in the marketing strategy for coping with our continuously changing environment on the basis of data gained through the following results of my research work. Hitting upon this situation, this research intends to classified by Cluster Analysis the I-VALS in Internet Shopping Mall. As a result, the purpose of this research is to supply useful data on establishing Department Internet Showing Mall. We used two methods. The first method was directly distributing questionnaires to cyberconsumers by use of one researcher who has been trained in people. The second method was sending E-mails, Fax, Mail designed to induce participation in questionnaires. Through these methods, we were able to obtain participation of people from across the country. Using 179 responses, we derived statistics by means of SPSS Win Version 10.0. The result of Empirical analysis is as follow : first, to pick out 9 factors from I-VALS of users of internet shopping mall. Second, as the result of there was a statistically significant difference between the I-VALS of internet shopping mall. As the result of the Cluster Analysis, I could see there classified 3 factors from I-VALS of users of internet shopping mall. We have know segmentation of internet shopping malls on the standard of user life, and partially significant difference with respect to using internet shopping mall information of I-VALS.

본 연구는 최근 인터넷쇼핑몰 쇼핑의 폭발적 활용과 성장에 따라 국내 온라인 기업들에게 현재 및 미래의 중요한 시장으로 떠오르는 B2C 거래의 성공적으로 이끌기 위해 필요한 마케팅정보를 제공하고자 하는데 있다. 따라서 인터넷쇼핑몰 B2C 거래자의 I-VALS 군집분류를 탐색적으로 파악하였다. 이는 이러한 결과는 인터넷쇼핑몰에서 구매한 사이버소비자 집단의 구성원의 생활의식과 행동에 어떤 영향을 미치고 그 결과로 라이프스타일과 소비자행동에 어떠한 관계를 갖는가를 파악함으로써 시장세분화에 체계적으로 접근할 수 있는 프레임웍(framework)을 제공해 줄 것이다.