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How do search-based and experience-based information matter in the evaluation of user satisfaction? The case of TripAdvisor
Aslib Journal of Information Management ( IF 2.4 ) Pub Date : 2021-08-06 , DOI: 10.1108/ajim-03-2021-0093
Wuqiang Liu 1 , Hung-Pin Shih 1
Affiliation  

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.



中文翻译:

基于搜索和基于体验的信息在用户满意度评估中有何作用?TripAdvisor的案例

目的

在多边平台 (MSP) 的背景下,作者解决了对基于搜索和体验的信息的评估以及对用户满意度不同组成部分的影响。

设计/方法/方法

该工具是通过修改以前的措施或开发新的量表而开发的。作者通过客户小组的在线问卷调查收集了 300 名有经验的 TripAdvisor 用户的样本。使用最大似然估计方法的结构方程建模(SEM)包(AMOS)对样本数据进行测试。

发现

对基于搜索的信息的态度可以促进用户对信息交互的满意度,而不是用户对社交交互的满意度。对基于经验的信息的态度可以促进用户对信息交互的满意度和用户对社交交互的满意度。信息交互的动机强于社会交互的动机,以提高用户对信息质量的满意度。

研究限制/影响

基于搜索和基于经验的信息之间的区别提供了不同的路由消息,以开发基于平台的交互的态度驱动框架。

实际影响

支持平台交互以增强信息和社会交互的动机应与信息质量评估保持一致。

原创性/价值

满意度驱动的框架已被广泛用于检查信息技术 (IT) 的采用后。相比之下,态度驱动的框架在文献中的研究较少。作者开发了一个基于态度驱动框架的研究模型,以检查可以培养重复意图的平台交互。

更新日期:2021-09-03
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