스마트 의류의 지각된 위험과 제품혁신성 평가에 관한 연구
The Study on the Perceived Risk and Product Innovativeness Evaluation of Smart Clothing
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초록
The purposes of this study were to explore the perceived risk of smart clothing, to classify consumers by risk perception of smart clothing, and to investigate the differences among the segmented groups in regard to the evaluation of newness and innovativeness of smart clothing. In addition, the relationship among perceived risk, evaluation of newness and innovativeness of smart clothing were examined. A questionnaire was administered to 338 male and female subjects aged from 17 to 50. Analysis was performed by factor analysis, cluster analysis, ANOVA, and Pearson's correlation analysis. The results showed that the perceived risk of smart clothing was composed of 4 factors: economic risk, social risk, functional risk and physical risk. Consumers were classified into four groups: high risk perception group, low economic risk perception group, low functional risk perception group, and low social risk perception group. ANOVA showed that there were significant differences among four groups regard to the evaluation of newness and innovativeness of smart clothing. High risk perception group most highly evaluated the newness and innovativeness of smart clothing. There were positive correlation among the perceived risks, the evaluation of the newness and innovativeness of smart clothing.
Abstract
The purposes of this study were to explore the perceived risk of smart clothing, to classify consumers by risk perception of smart clothing, and to investigate the differences among the segmented groups in regard to the evaluation of newness and innovativeness of smart clothing. In addition, the relationship among perceived risk, evaluation of newness and innovativeness of smart clothing were examined. A questionnaire was administered to 338 male and female subjects aged from 17 to 50. Analysis was performed by factor analysis, cluster analysis, ANOVA, and Pearson's correlation analysis. The results showed that the perceived risk of smart clothing was composed of 4 factors: economic risk, social risk, functional risk and physical risk. Consumers were classified into four groups: high risk perception group, low economic risk perception group, low functional risk perception group, and low social risk perception group. ANOVA showed that there were significant differences among four groups regard to the evaluation of newness and innovativeness of smart clothing. High risk perception group most highly evaluated the newness and innovativeness of smart clothing. There were positive correlation among the perceived risks, the evaluation of the newness and innovativeness of smart clothing.
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