通过消费行为对消费者进行聚类:对时尚产业的分析

Andreea-Ionela Puiu
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引用次数: 0

摘要

实际的论文旨在确认消费者风格库存量表的有效性,该量表由Sproles和Kendall(1986)开发,基于18-45岁人群在服装行业的消费行为。在这方面,我将消费者风格清单量表应用于罗马尼亚18-45岁的个人,通过在线平台收集反馈。对收集到的数据进行应用,第一部分进行探索性分析,然后进行验证性因子分析。在第二部分中,K-means聚类分析被用于根据不同群体的人口统计学特征和他们在购买时尚物品方面的财务参与来细分个人。k-means聚类分析的结果将消费者分为8类:“休闲消费者”、“追求质量的消费者”、“非理性消费者”、“冷漠消费者”、“习惯性消费者”、“偶尔消费者”、“时尚意识消费者”和“被动消费者”。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clustering Consumers Through their Consumption Behavior: Analysis on the Fashion Industry
The actual paper aimed to confirm the validity of the consumer styles inventory scale, developed by Sproles and Kendall (1986) on people aged 18-45 years based on their consumption behaviour when it comes to the clothing industry. In this respect, I applied the consumer styles inventory scale on individuals from the Romanian space aged 18-45 years, the responses being collected via online platforms. To the gathered data were applied, in the first part, an exploratory analysis, followed by confirmatory factor analysis. In the second part, the K-means cluster analysis was used to segment individuals in distinct groups based on their demographic characteristics and their financial involvement in purchasing fashion items. The output of the k-means cluster analysis distinguished eight segments of consumers defined as: „casual consumer”, „quality-seeker consumer”, „irrational consumer”, „indifferent consumer”, „habitual consumer”, „occasional consumer”, „fashion consciousness consumer” and „passive consumer”.
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