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The Potential Online Fashion Buyers of Gen Z in Thailand

机译:泰国的潜在在线时尚买家

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This study aims to investigate the influence of online reviews’ usefulness , volume of online reviews, trust in social networking sites, credibility of online ads, usefulness of online ads, price sensitivity, and security of online fashion shopping towards intention in online fashion shopping of Generation (Gen) Z’s consumers in Thailand. The population of this research was the potential online fashion shoppers who were Generation Z studying at two private colleges located in Bangkok and Pathum Thani province. The total samples of 432 respondents were collected using survey questionnaires. Most of the respondents were females around 22 years of age. Most of them were senior students studying in School of Business Administration and Accounting. They mostly spent around 10,001 to 20,000 baht per month for their living expenses. Most of them spent 3-4 hours online. If they had wanted to purchase online fashion, they would choose to buy more than 601 baht per time. They might be interested to buy shirts, pants, or shoes at pomelofashion.com, Zalora.com, or topshop.com. However, most of them had not been loyal to any specific website or application to do online fashion shopping yet. If they had wanted to purchase clothes online, they would choose to transfer money online. Most of them used Facebook or Instagram for their SNSs. The descriptive statistics and multiple regression analysis were used. The researchers found that price sensitivity, security, and volume of online reviews had positive impact toward intention in online fashion shopping of Gen Z ’s consumers.
机译:本研究旨在调查在线评论'有用,在线评论,社交网站信任,在线广告,在线广告的可信度,在线时尚购物的可信度,在线时装购物的可信度,在线时装们购物的有用性在泰国的一代(Gen)Z的消费者。本研究人口是潜在的在线时装购物者,在曼谷和帕特比省的两所私人院校学习Z。使用调查问卷收集432名受访者的总样本。大多数受访者是22岁的女性。他们中的大多数是在商业管理和会计学院学习的高级学生。他们主要花费大约每月10,001到20,000泰铢,以获得他们的生活费用。他们中的大多数人在线3-4个小时。如果他们想在线购买时尚,他们会选择购买超过601泰铢。他们可能有兴趣在pomelofashion.com,zalora.com或Topshop.com上购买衬衫,裤子或鞋子。但是,他们中的大多数都没有忠于任何特定的网站或申请,以便在线时尚购物。如果他们想在线购买衣服,他们会选择在线转账。其中大多数用于他们的SNSS的Facebook或Instagram。使用描述性统计和多元回归分析。研究人员发现,价格敏感性,安全性和在线评论的数量对在线时尚购物的意图对Gen Z的消费者的意图产生了积极的影响。

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