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作 者:叶晶[1,3] 裘玉英 陈亭羽[3] 凡欣 YE Jing;QIU Yuying;CHEN Tingyu;FAN Xin(College of Design,Jiaxing University,Jiaxing 314001,China;College of Materials and Textile Engineering,Jiaxing University,Jiaxing 314001,China;Graduate Institute of Management,Chang Gung University,Taoyuan 33302,China)
机构地区:[1]嘉兴学院设计学院,浙江嘉兴314001 [2]材料与纺织工程学院,浙江嘉兴314001 [3]长庚大学管理研究所,中国台湾桃园33302
出 处:《丝绸》2022年第5期77-84,共8页Journal of Silk
基 金:浙江省教育厅资助项目(Y202147570);嘉兴学院校企合作重大课题项目(00619030)。
摘 要:智能服装作为服装前沿技术,受到越来越多的企业和消费者的关注。了解消费者对智能服装购买意愿,有助于智能服装产业的发展。本文基于实证研究,构建消费者智能服装购买意愿的结构方程模型,通过调研问卷收集数据,并采用偏最小二乘法对模型进行假设验证。研究结果表明:感知有用性和态度正向显著影响消费者智能服装的购买意愿;消费者态度受感知有用性和易用性的影响;感知有用性受感知易用性、智能服装表达性的影响;智能服装的功能性和表达性均显著影响感知易用性。最后为智能服装的发展提出了相关建议。With the improvement of people’s living standards and the growth demand for personalization and intelligence,smart clothing,as a combination of clothing and cutting-edge technology,has attracted attention from an increasing number of clothing technology enterprises and ordinary consumers.Many organizations predict that smart clothing will develop rapidly in the future and occupy a certain share of the clothing market.As an ideal wearable device,smart clothing is gradually shifting its target consumers from professional fields such as sports and healthcare to ordinary consumers.While meeting the basic wearable functions,smart clothing also uses science and technology to add special functions related to daily life.As a result,smart clothing is no longer unattainable and is becoming more and more relevant to the lives of ordinary consumers.At present,there are many studies on smart clothing technology,while there is relatively little research on consumers’ willingness to purchase smart clothing in China.Researching consumers’ purchase intentions for smart clothing is conducive to the development of the smart clothing industry.Based on the technology acceptance model and the characteristics of smart clothing,the FEA(functionality,expressiveness,and aesthetics) model was introduced as an external variable to construct the structural equation model(SEM) of consumers’ purchase intentions of smart clothing,and we put forward 11 research hypotheses.Based on the scale proposed and verified by many scholars at home and abroad,and combined with the characteristics of smart clothing,six independent variables of functionality,expressiveness,aesthetics,perceived usefulness,perceived ease of use,and attitudes were extracted to design the research questionnaire,which were measured with 5-point Likert scale.Then,the research questionnaire was employed to collect data,and the SPSS 24.0 software was used to conduct descriptive statistical analysis of the basic individual information.Next,in order to assess the model using th
关 键 词:技术接受模型 智能服装 购买意愿 偏最小二乘法 结构方程模型 FEA模型
分 类 号:TS941.1[轻工技术与工程—服装设计与工程]
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