基于动机信息管理理论的系统综述与元分析  

Systematic Review and a Meta-Analysis Based on Theory of Motivated Information Management

作　　者：匡恺 刘勇亮 Kuang Kai;Liu Yongliang(School of Journalism and Communication,Tsinghua University,Beijing 100084)

机构地区：[1]清华大学新闻与传播学院,北京100084

出　　处：《情报杂志》2023年第4期107-116,共10页Journal of Intelligence

摘　　要：[研究目的]动机信息管理理论解释了人们在面临不确定性差异时的信息管理过程。该研究通过元分析整合动机信息管理理论在实证研究中的适用性,以此探索该理论在中外研究中的解释力,并通过纳入调节变量对该理论框架进行拓展和延伸,尝试丰富信息管理研究的理论视野。[研究方法]通过系统文献筛查,该文共纳入了40篇文献中的44项研究,对动机信息管理理论模型中涉及的11种相关关系进行了定量综合检验,并对3个调节变量进行了元回归分析。[研究结论]研究发现,动机信息管理理论中的各项路径均得到验证。此外,该研究还发现年龄、问题重要性和研究设计3个变量调节了理论模型中变量关系的强度。最后,本研究对未来的动机信息管理理论相关实证研究提出了拓展方向。[Research purpose] The Theory of Motivated Information Management(TMIM) proposes a process through which uncertainty motivates information management.To examine the applicability of the theory and extend theoretical understanding of the framework,this study meta-analyzed associations among different TMIM variables in existing empirical TMIM studies and tested potential moderating effects.[Research method] Through a systematic literature search,the current study meta-analyzed 44 studies from 40 articles that empirically tested predictions from the TMIM.Moderation analyses were conducted using meta-regression.[Research conclusion] Overall,bivariate associations proposed by the TMIM were supported,although these associations were heterogeneous and moderated by the average age of the sample,issue importance,and study design.The findings of this study have important implications for future TMIM research,and provide a theoretical framework for uncertainty and information management research.

关 键 词：信息管理 动机信息管理理论 不确定性 元分析 

分 类 号：G206[文化科学—传播学]