连接Z世代:消费者接受在网上购物中使用人工智能

Thamaiyanthi P Suresh, Phoon Lee Yong, Yeoh Shwu Chyi, R. Musa
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摘要

在文明时代,人工智能(AI)是机器或计算机系统对人类智力功能的模仿。对于电子零售商来说,在网上商店提供无限的产品选择的同时,提供定制的折扣,满足客户的期望,同时提供独特的客户体验是一项挑战。为了给客户提供真实的体验,建议和产品必须根据他们的喜好和需求量身定制。因此,本研究的目的是确定Z世代消费者是否接受在网上购物中使用人工智能(AI)。这项研究也旨在为中小企业提供建议和见解,以更多地了解如何采用人工智能来提升其在线业务。本研究采用定量的在线调查方法,共收集了135名受访者。数据采用SPSS version 25进行统计分析。相关性研究的结果表明,每个组成部分都显著增加了在线购买中人工智能的采用。回归研究表明,技术素养对人工智能(AI)有负向影响,而所有独立因素(感知效用、感知易用性和信任)对人工智能(AI)有显著的正向影响。研究的R²值为0.364,表明模型拟合良好。由于人工智能助手的持续可用性,客户可以随时提出简单的问题并报告小困难,而不必等待回复。对客户数据的分析还有助于在线零售商更好地了解其客户和新兴趋势。因此,增强的可用性和定制化等优势可以满足消费者的需求和期望,从而增强客户忠诚度,并在长期内提高企业收入。
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Connecting with Generation Z: Consumer Acceptance of the Use of Artificial Intelligence in Online Shopping
In the civilized era, artificial intelligence (AI) is the imitation of human intellectual functions by machines or computer systems. It is challenging for e-retailers to offer customised discounts despite the unlimited product selection in an online store at the same time, satisfy customers’ expectations while providing a distinctive customer experience. To provide clients with real experiences, recommendations and products must be tailored to their preferences and needs. Therefore, the purpose of this study was to ascertain whether generation Z consumers embrace the use of artificial intelligence (AI) in online buying. This study also aimed to provide recommendations and insights for SMEs to learn more about adopting AI that will enhance their online businesses. For this study, an online survey with quantitative approach is used and gathered 135 respondents. The data were examined by using SPSS version 25. The results of the correlation study showed that each component significantly increases the adoption of AI in online purchasing. The regression research showed that technology literacy has a negative impact on artificial intelligence (AI), while all independent factors (perceived utility, perceived ease of use, and trust) have significant positive impacts on AI (AI). The R² value of the study which is 0.364 indicated good model fit. Due to the AI assistant's constant availability, customers may ask simple questions and report minor difficulties at any time without having to wait for a response. The analysis of client data also helps the online retailer better understand its customers and emerging trends. Thus, advantages like enhanced usability and customisation that satisfy consumer needs and expectations strengthen customer loyalty and boost corporate revenues over the long run.
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