知识共享
连续性
社会化媒体
计算机科学
知识管理
情感(语言学)
结构方程建模
社会影响力
信息共享
可用性
考试(生物学)
独创性
万维网
心理学
人机交互
社会心理学
机器学习
创造力
古生物学
生物
沟通
作者
Jianmei Wang,Jinwen Xie
出处
期刊:Library Hi Tech
[Emerald Publishing Limited]
日期:2022-05-28
卷期号:41 (5): 1436-1455
被引量:43
标识
DOI:10.1108/lht-01-2022-0033
摘要
Purpose The research goal is to understand what factors affect users' knowledge and information learning and sharing on social media platforms. This study focuses on the impact of platform characteristics on users' behavior. Specifically, the purpose of this study is to investigate (1) what factors affect users' learning and dissemination of knowledge and information on social media platforms, (2) whether knowledge and information learning behavior will have a positive effect on sharing behavior and (3) try to establish an impact model of users' learning and sharing behavior about knowledge and information. Design/methodology/approach This study proposes an impact mechanism model to test these hypotheses. To achieve this, the authors collected data from 430 users who have used the social media platforms to acquire and share knowledge and information to test the hypothesis. The tools SPSS 26.0 and AMOS 23.0 were used to analyze the reliability, validity, model fits and structural equation modeling. Findings The results show that the learning of knowledge and information can influence the sharing behavior on social media platforms. Users' platform-based trust and platform-based satisfaction affect their knowledge and information learning and sharing on the platform. Factors affecting users' trust in social platforms include privacy protection effectiveness and network effects. And, perceived usefulness and perceived ease of use are related to users' satisfaction with social media platforms. Originality/value This study constructs an impact model on the learning and sharing of knowledge and information. The model takes the information system continuance model as the theoretical framework and integrates other factors, including the network effect, the effectiveness of privacy protection and trust. Most of the hypotheses of this research were confirmed. The conclusions provide practical guidance for the dissemination of knowledge information and platform management.
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