Adoption of Social Media Search Systems: An IS Success Model Perspective

IF 2.4 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE
Mandy Yan Dang, G. Zhang, Hsinchun Chen
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引用次数: 9

Abstract

The social media search system aims at providing an organized and integrated access and search support to a massive amount of unstructured, multilingual, user-generated content in an effective and efficient manner. Previous research on social media analytics mainly focuses on developing and applying advanced analysis methods and/or tools to make sense of the large amount of user-generated data over the Internet. Relatively little effort has been put to specifically examine the social media search system. In this study, we utilize and apply the DeLone and McLean IS Success Model to examine this type of systems. To do it, a lab experiment was conducted, and the results showed that all causal relationships, except for satisfaction to social benefit, specified in the DeLone and McLean IS Success Model hold in the context of the large-scale, social media search system. Specifically, we found that information quality and system quality associated with the system could significantly influence both users’ intention to use and satisfaction toward it, both of which, in turn, had significant impacts on users’ perceived individual benefit and social benefit. In addition, satisfaction could significantly influence intention to use the system.
社会媒体搜索系统的采用:一个信息系统成功模型的视角
社交媒体搜索系统旨在以有效和高效的方式为大量非结构化、多语言、用户生成的内容提供有组织和集成的访问和搜索支持。之前对社交媒体分析的研究主要集中在开发和应用先进的分析方法和/或工具来理解互联网上大量的用户生成数据。专门研究社交媒体搜索系统的努力相对较少。在本研究中,我们利用并应用DeLone和McLean的IS成功模型来检验这类系统。为了做到这一点,我们进行了一个实验室实验,结果表明,除DeLone和McLean IS成功模型中规定的社会效益满意度外,所有因果关系都在大规模社交媒体搜索系统的背景下成立。具体而言,我们发现与系统相关的信息质量和系统质量可以显著影响用户对系统的使用意愿和满意度,而用户对系统的使用意愿和满意度又会显著影响用户感知到的个人利益和社会利益。此外,满意度可以显著影响使用系统的意愿。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.10
自引率
33.30%
发文量
0
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