Influences of Consumers' Fashion Innovativeness and Technological Innovativeness on Attitudes and Buying Intention toward Smart Clothing
Influences of Consumers' Fashion Innovativeness and Technological Innovativeness on Attitudes and Buying Intention toward Smart Clothing
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消费者时尚创新和技术创新对智能服装态度和购买意愿的影响
DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
Hyun
中科院分区：
文献类型：
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作者：
K. Kang;Hyun
智能服装是从可穿戴计算机发展而来的数字化穿戴，将服装的功能与计算机的功能统一起来，以扩展人类日常生活的能力。为了研究消费者对智能服装的认知和反应，本研究测试了时尚创新和技术创新对智能服装相关态度和购买意愿的影响。数据是通过对 256 名年龄在 18 岁至 45 岁之间的男性和女性成年人进行的调查收集的。 Pearson相关分析结果显示，时尚创新度与技术创新度之间不存在正相关关系。多元回归分析表明，时尚创新性是智能服装态度和购买意愿的重要预测因素。此外，根据时尚创新和科技创新的得分，受访者被分为四组。使用一系列方差分析和邓肯检验来确定四组之间是否存在显着差异。在时尚和科技方面具有较高创新水平的群体对智能服装的态度最为积极。对智能服装有认知体验的个体，其时尚创新水平较高，对智能服装的态度也更加积极。根据这些发现，为智能服装开发商和未来的研究提供了建议。
Smart Clothing is digital wear progressed from wearable computer that the function of clothing is unified with that of a computer to extend human ability in everyday life. To study consumers' perception and responses toward the Smart Clothing, this study tested the influence of fashion innovativeness and technological innovativeness on attitudes and buying intention related to the Smart Clothing. Data were collected through a survey with 256 male and female adults in age from 18 to 45 year old. The results of Pearson correlation analysis revealed that there was not a positive relationship between fashion innovativeness and technological innovativeness. Multiple regression analysis indicated that fashion innovativeness was a significant predictor of attitudes and buying intention regarding the Smart Clothing. In addition, respondents were classified into four groups according to the scores of their fashion innovativenss and technological innovativeness. A series of ANOVA and Duncan test were used to determine if significant differences existed among four groups. The group having high level of innovativeness on both fashion and technology had the most positive attitudes toward smart clothing. The individuals having cognitive experiences of the Smart Clothing had higher level of fashion innovativeness and more positive attitudes to it. Based on these findings, recommendations for the developer of Smart Clothing and future research are offered.