了解金融数据检索服务的采用意图:对我的数据进行经验分析
Eunchan Kim1, Yeunwoong Kyung2
1Department of Information Systems, Hanyang University, Seoul, 04763, Republic of Korea.
Heliyon
|January 15, 2025
概括
这项研究表明,My Data服务的特点,如系统,信息和服务质量,显著影响用户采用. 这些因素影响感知到的好处和技术的接受,推动采用意图.
科学领域:
- 信息系统信息系统信息系统
- 技术采用 技术采用
- 行为经济学是一种行为经济学.
背景情况:
- 了解用户对金融数据检索服务的采用对于服务开发至关重要.
- 像VAM和UTAUT1这样的现有模型为技术接受提供了框架.
- 整合这些模型可以全面了解采用决定因素.
研究的目的:
- 分析影响金融数据检索服务 (My Data) 采用意向的因素.
- 检查服务特征,用户感知和采用意图之间的因果关系.
- 为了验证一个集成S-OR,VAM和UTAUT的融合模型1.
主要方法:
- 经验分析使用了刺激-有机体-反应 (S-OR),基于价值的采用模型 (VAM) 和技术接受和使用统一理论 (UTAUT1) 的融合模型.
- 研究了My Data服务特征 (刺激) 如何影响用户的感知 (机体) 和采用意图 (响应).
- 评估了系统质量,信息质量和服务质量对感知到的好处,牺牲和UTAUT1构造的影响.
主要成果:
- 我的数据服务特征 (系统,信息,服务质量) 显著影响感知到的好处和牺牲.
- 这些特征也显著影响了绩效预期,努力预期,社会影响和促进条件.
- 所有分析的因素都显示了对用户对金融数据检索服务的采用意向有重大影响.
结论:
- 服务质量属性是用户采用金融数据检索服务的关键驱动因素.
- 融合模型有效地解释了"我的数据"的采用意图.
- 结果为我的数据开发,传播和激活策略提供了洞察力.
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