CAUSAL MODEL OF FACTORS INFLUENCING SHOPPING BEHAVIOR OF GENERATION-Y

Tivarat Sriratree, Opal Suwannamek, Chalita Srinuan
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Abstract

Purpose: The objective of this research was to study the variables that affect the online shopping behavior of Generation-Y.   Methods: This research was conducted using quantitative methods utilizing a questionnaire as the primary tool to collect data from 300 samples of Gen-Y group who use online shopping services. The statistics used in the data analysis comprised descriptive statistics and structural equation model analysis.   Results and Discussions: The results showed that the maximum mean factors were online shopping behavior (mean=5.54, SD.= .681), intention to purchase (mean=5.52, SD.= .704), and subjective norms (mean=5.19, SD.=.924), respectively. The results of casual model analysis found that intention to purchase, and subjective norms affected the online shopping behavior of Y Gen consumers with statistical significance. However, the controllability factor was not statistically significant.   Research Implications: Therefore, consumers' perceptions of using technology through social media purchases are seemingly increasing. Accordingly, entrepreneurs in the e-market should use big data to analyze consumer behavior, communicate with consumers, and publicize information efficiently. Consumer groups want to try new things and challenges, and like using a convenient internet to save time, searching products, purchase, and make transactions on one platform via social media.   Conclusions: The retail industry has fully entered the digital age, which is evident by the vast number of consumers who use various online platforms. Further, this trend is continuously increasing due to the constant development of modern technology to facilitate consumers and increase the efficiency of commerce. At present, changing consumer behaviors affect various activities and consumption behaviors, especially in terms of consumers spending less time purchasing products in stores and spending more time buying goods and services online using various technological means. Also, this fact tends to significantly increase e-commerce.   Originality/Value: It could also be used to reach new target customers to provide more convenience or search for new products that could be acquired easily, even if originating from different continents to help facilitate, save time, and create tremendous business opportunities.
影响 Y 代购物行为因素的因果模型
目的:本研究旨在探讨影响 "Y一代 "网上购物行为的变量。 研究方法本研究采用定量方法,以调查问卷为主要工具,从 300 个使用网上购物服务的 Y 世代群体样本中收集数据。数据分析中使用的统计方法包括描述性统计和结构方程模型分析。 结果与讨论:结果显示,平均值最大的因素分别是网络购物行为(平均值=5.54,SD.=.681)、购买意愿(平均值=5.52,SD.=.704)和主观规范(平均值=5.19,SD.=.924)。随即模型分析结果发现,购买意愿和主观规范对 Y 世代消费者网上购物行为的影响具有统计学意义。然而,可控性因素在统计学上并不显著。 研究意义:因此,消费者通过社交媒体购物使用技术的观念似乎在不断增强。因此,电子市场的企业家应利用大数据分析消费者行为,与消费者沟通,并有效地发布信息。消费群体希望尝试新事物和新挑战,喜欢使用便捷的互联网,通过社交媒体在一个平台上节省时间、搜索产品、购买和交易。 结论零售业已全面进入数字化时代,这一点从大量消费者使用各种网络平台就可见一斑。此外,由于现代技术的不断发展,这一趋势还在不断增强,以方便消费者并提高商业效率。目前,消费行为的变化影响着各种活动和消费行为,特别是消费者在商店购买产品的时间越来越少,而在网上使用各种技术手段购买商品和服务的时间越来越多。同时,这一事实也会大大促进电子商务的发展。 原创性/价值:它还可用于接触新的目标客户,为他们提供更多便利,或寻找可以轻松获得的新产品,即使这些产品来自不同的大洲,也能为他们提供便利,节省时间,并创造巨大的商机。
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