首页|基于解释结构模型的微博用户中辍行为影响因素研究

基于解释结构模型的微博用户中辍行为影响因素研究

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[目的/意义]探究微博用户中辍行为影响因素,构建微博用户中辍行为影响因素解释结构模型,对持续激发微博用户活跃度,促进社交媒体可持续发展具有重要的理论和实践意义.[方法/过程]采用扎根理论对微博用户进行深度访谈,并对原始资料进行三级编码提炼出微博用户中辍行为影响因素,通过解释结构模型对影响因素进行层次结构划分,并分析影响因素间的内在联系及其作用机理.[结果/结论]微博用户中辍行为的影响因素主要包括底层、中层和表层三个层面共16项因素,其中网络环境、社会环境和用户性格特点3项底层因素是中辍行为产生的最根本因素,感知成本、社交过载、信息质量等11项表层因素对中辍行为有最直接的影响作用,信息过载和功能过载是中间的联系因素.
Research on the Influencing Factors of Microblog Users'Dropout Behavior Based on Interpretative Structural Model
[Purpose/significance]This paper explores the influencing factors of microblog users'dropout behavior and constructs an explanatory structural model of influencing factors of microblog users'dropout behavior,which has important theoretical and practical significance for continuously stimulating microblog users'activity and promoting the sustainable development of social media.[Method/process]Based on the grounded theory,this paper conducts in-depth interviews with microblog users,and extracts the influencing fac-tors of microblog users'dropout behavior by three-level coding of the original data.It divides the influencing factors into hierarchical structures through the interpretive structural model,and analyzes the internal relationship between the influencing factors and their action mechanism.[Result/conclusion]The influencing factors of microblog users'dropout behavior mainly include 16 factors at the bottom,middle and surface levels,among which,three bottom-level factors,network environment,social environment and users'personality characteristics,are the most fundamental factors of dropout behavior,11 surface-level factors,such as perceived cost,social overload,and information quality,have the most direct influence on dropout behavior,and information overload and functional overload are the in-termediate connecting factors.

microblog users'dropout behaviorinfluencing factorgrounded theoryinterpretive structural model

李青维、张心悦

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湖北大学历史文化学院 湖北武汉 430062

微博用户中辍行为 影响因素 扎根理论 解释结构模型

湖北省教育厅人文社会科学一般项目

202011001301003

2024

情报探索
福建省科技情报学会,福建省科技信息研究所

情报探索

CHSSCD
影响因子:0.52
ISSN:1005-8095
年,卷(期):2024.(5)
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