| 朱彤,牛晓宏,李雯玉,马海群.必要性视角下UGC贡献者非持续贡献行为影响因素研究[J].数字图书馆论坛,2026,22(1):54~63 |
| 必要性视角下UGC贡献者非持续贡献行为影响因素研究 |
| Factors Influencing Non-Continuous Contributions by UGC Creators from Necessity Perspective |
| 投稿时间：2025-09-25 |
| DOI：10.3772/j.issn.1673-2286.2026.01.006 |
| 中文关键词: UGC社区；内容贡献者；非持续贡献行为；影响因素 |
| 英文关键词: UGC Community; Content Contributor; Non-Continuous Contribution Behavior; Influencing Factor |
| 基金项目: |
| 作者 | 单位 | | 朱彤 | 黑龙江大学信息管理学院 | | 牛晓宏 | 黑龙江大学信息管理学院 | | 李雯玉 | 黑龙江大学信息管理学院 | | 马海群 | 黑龙江大学信息管理学院；黑龙江大学信息资源管理研究中心 |
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| 中文摘要: |
| 探究用户生成内容（User-Generated Content，UGC）社区内容贡献者非持续贡献行为的影响路径及必要条件，以期帮助社区理解贡献者需求，避免贡献者彻底流失，实现贡献者群体的良性更迭和可持续发展。本研究采用定性与定量相结合的方法，通过半结构化访谈及扎根理论提取要素、设计假设并构建模型；利用结构方程模型与必要条件分析对问卷数据进行检验。结果显示：信息过载、社交过载显著充要影响内容贡献者的社交媒体倦怠，隐私风险对社交媒体倦怠仅具有显著必要影响；社交过载、信息过载及系统功能过载是贡献者不满意的显著充要条件；贡献者不满意对非持续贡献行为的充要影响略高于社交媒体倦怠。 |
| 英文摘要: |
| This study examines the influence pathways and necessary conditions underlying non-continuous contribution behavior among content contributors in user-generated content (UGC) communities, with the aim of helping communities better understand contributors’ needs, prevent complete contributor loss, and promote healthy turnover and sustainable development of the contributor base. Combining qualitative and quantitative analyses, semistructured interviews and grounded theory are used to extract key factors, formulate hypotheses, and construct the research model. Subsequently, structural equation modeling and necessary condition analysis are employed to test the survey data. The results show that information overload and social overload exert significant sufficient-and-necessary effects on contributors’ social media fatigue, whereas privacy risk has only a significant necessary (but not sufficient) effect on fatigue. Social overload, information overload, and system-function overload are identified as significant sufficient-and-necessary conditions for contributor dissatisfaction. Moreover, contributor dissatisfaction has a slightly stronger sufficient-and-necessary effect on non-continuous contribution behavior than social media fatigue. |
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