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How do search-based and experience-based information matter in the evaluation of user satisfaction? The case of TripAdvisor

机译:如何在评估用户满意度时搜索和基于体验的信息相关? TripAdvisor的情况

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Purpose In the context of multi-sided platforms (MSPs), the authors address the evaluation of search- and experience-based information and the effect on different components of user satisfaction. Design/methodology/approach The instrument was developed by either modifying previous measures or developing new scales. The authors collected the sample of experienced 300 TripAdvisor users via online questionnaire survey of a customer panel. The structural equation modeling (SEM) package (AMOS) with the maximum likelihood estimation method was used to test the sample data. Findings Attitudes toward search-based information can foster user satisfaction with information interaction rather than user satisfaction with social interaction. Attitudes toward experience-based information can foster user satisfaction with information interaction and user satisfaction with social interaction. The motivation for information interaction is stronger than the motivation for social interaction to enhance user satisfaction with information quality. Research limitations/implications The distinction between search- and experience-based information provides different route messages to develop the attitude-driven framework of platform-enabled interactions. Practical implications The support for platform-enabled interactions to enhance the motivation for information and social interactions should be aligned with the evaluation of information quality. Originality/value The satisfaction-driven framework has been widely used to examine the post-adoption of information technologies (IT). In contrast, the attitude-driven framework was less examined in the literature. The authors develop a research model based on the attitude-driven framework to examine the platform-enabled interactions that can foster repeated intention.
机译:目的在多面平台(MSPS)的上下文中,作者地址评估了基于搜索和体验的信息和对用户满意度不同组件的影响。设计/方法/方法通过修改以前的措施或开发新秤来开发仪器。作者通过客户面板的在线问卷调查收集了经验丰富的300号TripAdvisor用户样本。使用最大似然估计方法的结构方程建模(SEM)包(AMOS)用于测试样本数据。调查结果对搜索信息的态度可以促进用户满意与信息交互,而不是对社会互动的满意度。对基于经验的信息的态度可以促进用户满意与信息互动和用户满意度与社会互动。信息互动的动机比社会互动的动机更强大,以提高用户满意度与信息质量。研究限制/影响搜索和经验的信息之间的区别提供了不同的路由消息,以开发启用平台的交互的姿态驱动框架。实际意义使支持平台的相互作用以增强信息和社交交互的动机应与信息质量的评估对齐。原创性/价值满足驱动的框架已被广泛用于检查信息技术的后期(IT)。相比之下,文学中较少审查态度驱动的框架。作者基于姿态驱动框架开发了一个研究模型,以检查能够促进重复意图的支持平台的交互。

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