摘要
数字化、大数据、生态系统等理念的提出与发展推动了研究范式从局部思维向全局思维的转变,相比于传统的方差视角,构型视角能够更好地把握全局性、等效性、不对称性等研究特点,并逐渐成为一种新兴、重要的理论视角。鉴于现有信息行为研究的相关文献较少从构型视角对信息行为进行重新审视、以及构型视角的理论构建与分析方法上的不足,本文提出了包含信息、技术、任务、用户与行为的信息行为五维模型,从构型视角对信息行为的形成机制进行全局性分析并指出了潜在的研究主题,提出构型理论构建的矩阵法与决策树法,以及构型理论检验所应遵循的分解原则、合成原则、包含原则与闭合原则。本文可为信息行为研究提供新的研究思路,对基于构型视角的研究实践提供理论指导。
The concepts of digitization, big data, and ecosystem have driven the paradigm shift from the local perspective to a holistic perspective. Compared to traditional variance perspective, configurational perspective can better capture the research characteristics of complexity, equifinality, and asymmetry, and gradually becomes a new and important theoretical perspective. However, prior research on information behavior has paid little attention to the information behavior from the configurational perspective. Therefore, this study tries to propose a five-dimension model of information behavior which covers information, technology, task, user and behavior, and suggests to view information behavior from a holistic perspective. Some research topics relevant to the configurational perspective of information behavior are identified. Meanwhile, this study proposes to develop configurational theories according to the approaches of matrix and decision tree and to test configurational hypotheses following a series of principles such as decomposition principle, integration principle, inclusion principle, and closing principle. It not only figures out the new research directions for information behavior research, but also provides guidelines for conducting solid empirical research from the configurational perspective.
作者
孙永强
Sun Yongqiang(School of Information Management, Wuhan University, 430072, Wuhan)
出处
《信息资源管理学报》
CSSCI
2019年第3期4-17,共14页
Journal of Information Resources Management
基金
教育部人文社会科学基金项目“开放式协同编辑平台中的用户知识整合机制研究”资助(16YJC870011)的研究成果之一
关键词
信息行为
构型视角
定性比较分析
理论构建
分析方法
Information behavior
Configurational perspective
Qualitative Comparative Analysis(QCA)
Theory development
Analysis approach
