基于ELM的微信学术信息搜寻行为影响因素研究

被引：6

作者：

曹晓萍

陈明红

机构：

[1] 中山大学资讯管理学院

来源：

情报探索 | 2019年 / 08期

基金：

广东省自然科学基金;

关键词：

微信; 学术信息; 搜寻行为; ELM;

D O I：

暂无

中图分类号：

G252.7 [文献检索];

学科分类号：

摘要：

[目的/意义]旨在探究微信用户学术信息搜寻行为的影响因素,为微信学术功能优化提供参考。[方法/过程]将微信学术信息搜寻行为分为主动搜寻与被动搜寻行为,以ELM为基本框架,构建结构方程模型。针对微信学术用户进行问卷调查,使用AMOS软件进行数据分析,并验证研究假设。[结果/结论]信息内容质量、信息载体质量和感知有用性均对主动信息搜寻行为产生显著的正向影响;微信卷入度对主动信息搜寻行为产生显著的负向影响;感知有用性、信息载体质量和微信卷入度对被动信息搜寻行为产生显著的正向影响,而信息内容质量对被动信息搜寻行为没有显著影响。

引用

页码：43 / 52

页数：10

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