缺乏经验的投资者对在股票投资中使用人工智能服务的态度的决定因素

Ngọc Minh Ngô, Hương Trang KIm, Linh Chi Nguyễn, Thị Thúy Hiền Tăng, Minh Thư Nguyễn
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引用次数: 0

摘要

本研究利用偏最小二乘法结构方程模型(SEM),对 2023 年 9 月至 10 月期间在越南调查收集的 466 名缺乏经验的投资者的原始数据进行分析,探讨了影响投资者在股票投资过程中的六项不同任务中使用人工智能服务的态度的因素。结果表明,感知有用性、主观规范和信任会显著影响这些投资者对在股票投资中使用人工智能的态度。然而,感知到的易用性只影响涉及直接处理的任务。基于这些发现,我们建议金融服务提供商调整其产品开发战略,以吸引这一新兴市场的潜在客户。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determinants of inexperienced investors’ attitudes towards the use of AI services in the stock investment
Using the partial least squares Structural Equation Modelling (SEM) on primary data collected from surveys of 466 inexperienced investors in Vietnam during September and October 2023, our study explores the factors that influence investor attitudes towards the use of AI services in six distinct tasks within the stock investment process. The results indicate that perceived usefulness, subjective norms, and trust significantly affect these investors’ attitudes towards AI use in stock investments. However, the perceived ease of use impacts only the tasks that involve straightforward processing. Based on these findings, we recommend that financial service providers tailor their product development strategies to attract potential customers in this emerging market.
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