背景(考古学)
独创性
计算机科学
计算机用户满意度
结构方程建模
信息质量
质量(理念)
样品(材料)
信息系统
知识管理
顾客满意度
用户满意度
用户体验设计
心理学
人机交互
社会心理学
营销
工程类
用户界面设计
业务
哲学
古生物学
机器学习
化学
电气工程
认识论
生物
色谱法
创造力
作者
Wuqiang Liu,Hung‐Pin Shih
出处
期刊:Aslib journal of information management
[Emerald (MCB UP)]
日期:2021-08-05
卷期号:73 (5): 659-678
被引量:10
标识
DOI:10.1108/ajim-03-2021-0093
摘要
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.
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