从参与到留存:揭示驱动用户参与和持续使用移动交易应用程序的因素

IF 6.7 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Sajani Thapa , Swati Panda , Ashish Ghimire , Dan J. Kim
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引用次数: 0

摘要

在线移动交易的普及带动了移动股票交易应用程序的开发。尽管这些应用程序越来越受欢迎,但很少有实证研究探讨影响这些应用程序(以下简称应用程序)持续使用意向的因素。本文借鉴刺激-机体-反应(S-O-R)理论,研究了股票交易应用程序的特点,这些特点会引起消费者的参与,进而产生继续使用应用程序的意向。在研究 1 中,通过半结构式访谈,我们确定了客户参与股票交易应用程序的四个关键驱动因素,以及影响客户应用程序参与和持续使用意向之间关系的两个可能调节因素。在研究 2 中,我们通过对来自三个不同 Facebook 股票交易社区的股票交易应用程序用户进行调查,研究了这些关键驱动因素。结果证实,这些应用的社交存在感和安全功能与消费者的股票交易应用参与度有显著关联。我们还发现,对不确定性的恐惧和感知到的企业虚伪削弱了客户应用参与对持续使用应用意向的影响。研究结果丰富了有关应用程序使用和客户参与的文献,并为金融科技服务公司提供了见解,帮助他们了解提高消费者对这些应用程序参与度的因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
From engagement to retention: Unveiling factors driving user engagement and continued usage of mobile trading apps

The popularity of online mobile trading has led to an increase in the development of mobile stock trading applications. Despite this increase in popularity, there is a dearth of empirical studies that examine the factors influencing the continued usage intention of these applications (hereafter, apps). Drawing on stimulus-organism-response (S-O-R) theory, this paper investigates the features of stock trading apps that generate consumer engagement and consequently, continued app usage intention. In study 1, through semi-structured interviews, we establish four key drivers of customer engagement with stock trading apps, and two possible moderators influencing the relationship between customer app engagement and continued usage intention. In study 2, we examine these key drivers by surveying stock trading app users from three different Facebook stock trading communities. The results confirm that the social presence and security features of these apps are significantly associated with consumer stock trading app engagement. We also find that fear of uncertainty and perceived corporate hypocrisy weaken the effect of customer app engagement on continued app usage intention. The study findings add to the literature on app usage and customer engagement and provide insights for fintech service companies to help them understand the factors that enhance consumer engagement with these apps.

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来源期刊
Decision Support Systems
Decision Support Systems 工程技术-计算机:人工智能
CiteScore
14.70
自引率
6.70%
发文量
119
审稿时长
13 months
期刊介绍: The common thread of articles published in Decision Support Systems is their relevance to theoretical and technical issues in the support of enhanced decision making. The areas addressed may include foundations, functionality, interfaces, implementation, impacts, and evaluation of decision support systems (DSSs).
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