智能服装产品属性对消费者购买倾向的影响
Influence of smart clothing product attributes on consumer purchase intention
陈越新 1曲洪建1
作者信息
- 1. 上海工程技术大学纺织服装学院,上海 201620
- 折叠
摘要
为研究智能服装产品属性对消费者购买倾向的影响,以刺激-机体-反应模型(stimulus-organism-response,SOR)为理论基础,构建了以智能服装产品属性为自变量,态度为中介变量,购买倾向为因变量,性别、年龄和每月服装花费为控制变量的假设理论模型.基于问卷调研获得的数据进行实证分析,结果表明:智能服装的自主性、多功能性、关联性、适应性、新颖性和交互性均正向影响消费者购买倾向;自主性、多功能性、新颖性和交互性通过态度正向影响消费者购买倾向;控制变量中年龄和性别的作用效果不显著,但每月服装花费正向影响消费者购买倾向.由此为智能服装的设计提出相关建议.
Abstract
To investigate the influence of product attributes of smart clothing on consumer pur-chase intention,the stimulus-organism-response(SOR)model was adopted as the theoretical foundation in this article.A hypothetical theoretical model was constructed with smart clothing product attributes as the independent variables,attitude as a mediating variable,and purchase in-tention as the dependent variable.Gender,age,and monthly clothing expenditure are considered as control variables.The empirical analysis was based on the data obtained from the questionnaire survey.The results shows that autonomy,functionality,connectivity,adaptability,novelty,and interactivity of smart clothing all positively affect consumer purchase intention.Autonomy,func-tionality,novelty,and interactivity also positively influence consumer purchase intention through attitude.The effects of age and gender among the control variables are not significant,but monthly clothing expenditure positively impacts consumer purchase willingness.Based on these findings,relevant recommendations are proposed for smart clothing design.
关键词
智能服装/产品属性/态度/购买倾向/实证检验Key words
smart clothing/product attributes/attitudes/purchase intention/empirical testing引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据