인터넷 의류구매에서의 관계혜택지각이 관계몰입과 충성도에 미치는 영향

Abstract

Companies can build a close relationship by providing benefits that consumers want. As long relationships between consumer and company are stressed these days, it is very important for the growth and development of companies to assess what benefits consumers perceive and how they reflect them to their buying behaviors. Thus, this study aims to examine the relational benefits that consumers perceive in internet clothing purchase and how these perceived relational benefits affects relational commitment and customer loyalty. This study surveyed 343 male and female in their 20s and 30s for empirical analysis who have ever purchased clothing through internet shopping malls. Descriptive statistics, factor analysis, ANOVA analysis, Duncan test, and -test are carried out using SPSS for Windows 12.0 for statistical analysis. The results are as follows. First, the dimensions of relational benefits perceived by consumers in internet clothing purchase are found 6 including customization, economic, psychological, social, shopping convenience, and informational. Second, consumers` perception of relational benefits significantly affect on relational commitment and loyalty, thus consumers with greater recognition of relational benefits have higher relational commitment and loyalty. Third, based on the dimensions of consumer`s perceived relational benefit, consumers are categorized into 6 types: group perceiving social benefit, group perceiving economic/shopping convenience benefit, group perceiving shopping convenience benefit, group perceiving customization benefit, group perceiving informational benefit, and group perceiving psychological benefit. The group perceiving customization benefits have higher relational commitment and loyalty than the others. It is expected that this study will help internet companies establish customer relationship management strategies, which are needed to promote relationships with customers and to enhance customers` loyalty to internet shopping malls.