影响时尚顾客价值链价值类型的因素:关注社会过滤、信息评估属性和购物需求

Ju-Hee Kim
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摘要

本研究主要关注时尚顾客价值链(CVC)的价值类型,旨在研究社交过滤、信息评价属性和购物需求等相关变量的影响。本研究以釜山和庆尚南道 20 多岁、最近 6 个月在互联网购物中心有过通过购物社交过滤购物经历的男女大学生为对象,共发放了 283 份问卷。数据分析使用了 SPSS 程序,并进行了信度测量、因子分析、多元回归分析、T 检验和方差分析。研究结果如下。第一,时尚顾客的社会过滤对价值侵蚀的影响依次为交付过滤和产品过滤,对价值创造的影响依次为内容过滤和购买历史过滤。其次,信息兴趣对这些因素都有较高的正向影响。信息可靠性对价值侵蚀和价值创造有负面影响,信息有用性对价值支付也有负面影响。第三,时尚顾客的购物需求对价值侵蚀、价值创造和价值支付都有显著影响。此外,专业化购物需求比综合化购物需求更重要。第四,除消费者性别外,不同年龄、月均时尚产品购物频率、月均购物成本和日均购物时间的时尚顾客价值链类型存在差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Factors Affecting Value Types of the Fashion Customer Value Chain: Focusing on Social filtering, Information Evaluation Properties and Shopping Needs
This study mainly focused on the value types of the fashion customer value chain (CVC), and it was intended to examine the influence of related variables such as social filtering, information evaluation properties, and shopping needs. This study conducted a total of 283 questionnaires targeting male and female college students in their 20s in the Busan and Gyeongsangnam-do who had shopping experiences through shopping social filtering at internet shopping malls for the latest 6 months. For data analysis, SPSS program was used, and reliability measurement, factor analysis, multiple regression analysis, and T-test, ANOVA were conducted. The research results are as follows. First, social filtering of fashion customers had a significant influence in value erosion in the order of delivery filtering and product filtering, and value creation had a significant influence in the order of contents filtering and purchase history filtering. Second, In particular, information interest had a high positive influence on those all. Information reliability had a negative influence on value erosion and value creation, and information usefulness also had a negative influence on value payment. Third, shopping needs of fashion customers had a significant effect on value erosion, value creation, and value payment. Moreover, specialized shopping needs were more important than integrated shopping needs. Fourth, except for the consumer's gender, there was a difference in the fashion customer value chain type according to age, monthly average shopping frequency of fashion products, monthly average shopping cost, and daily shopping time.
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