CSSCI来源集刊 | AMI核心集刊 主管:武汉大学 主办:武汉大学经济与管理学院
摘要
数字囤积行为的影响因素组态路径研究——基于fsQCA的分析
A Study of the Grouping Path of Factors Influencing Digital Hoarding Behavior——An Analysis Based on fsQCA
张成虎 (中国传媒大学经济与管理学院)
张一凡 (中国传媒大学经济与管理学院)
刘建新 (西南大学经济管理学院)

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摘要:文章应用sQCA对采集的311个有效样本进行分析,比较了网络平台和个人储存情境下,数字资源属性、个体因素、感知因素通过组合驱动数字囤积行为的路径异同。研究发现:(1)归纳两种情境下产生数字囤积行为的不同组态,可将数字囤积分为占有型、盲目型、忘我型和淡定型四类;(2)进一步的路径分析表明,个体进行数字囤积行为的背后动机分为风险管理意识实用价值判断;(3)相比网络平台型数字囤积,个人存储型数字囤积行为受个体因素和数字资源属性的影响更为明显。


关键词:数字囤积 数字资源属性 个体因素 感知因素 模糊集定性比较分析

Abstract: The article applies fsQCA to analyze 311 valid samples collected to compare the similarities and differences in the paths of digital resource attributes, individual factors, and perceived factors driving digital hoarding behaviours through combinations in online platforms and personal storage contexts. The study found that: (1) by summarizing the different groups of digital hoarding behaviours in the two contexts, digital hoarding can be classified into four categories: possession, blind, forgetful, and calm; (2) further path analysis shows that the motivations behind individuals’ digital hoarding behaviours are divided into “risk management awareness” and “practical value judgment”; (3) compared with online platform-based digital hoarding, individual factors and digital resource attributes more significantly influence personal storage digital hoarding behaviour.

keywords:Digital hoarding; Digital resource attributes; Individual factors; Perceived factors; Fuzzy set qualitative comparative analysis.

通讯作者:张一凡, Email: zhangyf@cuc.edu.cn
引用本文:张成虎, 张一凡, 刘建新. 数字囤积行为的影响因素组态路径研究——基于fsQCA的分析[J]. 珞珈管理评论, 2023, 49(4): 90-111.
链接本文:http://jmr.whu.edu.cn/article.php?id=27
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