理论研究

在线健康社区用户信息交互的驱动因素研究

  • 翟冉冉 ,
  • 韩正彪
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  • 南京农业大学信息管理学院 南京 210095
翟冉冉,博士研究生。

收稿日期: 2023-07-18

  修回日期: 2023-11-01

  网络出版日期: 2024-02-23

基金资助

本文系南京农业大学中央高校基本科研业务费人文社会科学研究基金“在线健康社区用户信息交互机理及效率提升研究”(项目编号:SKYC2023013)研究成果之一。

Research on the Driving Factors of User Information Interaction in Online Health Communities

  • Zhai Ranran ,
  • Han Zhengbiao
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  • College of Information Management, Nanjing Agricultural University, Nanjing 210095

Received date: 2023-07-18

  Revised date: 2023-11-01

  Online published: 2024-02-23

Supported by

This work is supported by the Research Fund for Humanities and Social Sciences of the Central Universities of Nanjing Agricultural University titled "Research on the Mechanism of User Information Interaction and Efficiency Improvement in Online Health Communities" (Grant No. SKYC2023013).

摘要

[目的/意义] 研究旨在识别在线健康社区用户信息交互的驱动因素,并从整体视角出发构建在线健康社区用户信息交互的驱动因素理论模型。[方法/过程] 采用微刻时序访谈法和中立性提问对招募的21名不同年龄和职业的在线健康社区用户进行半结构化访谈,共获得20.95万字的访谈文本数据,并采用扎根理论方法对访谈数据进行分析。[结果/结论] ①在线健康社区用户信息交互的驱动因素由健康问题、社区特征、限制条件3个外部驱动因素和健康认知需求、健康情感感受、健康信息需求、感知社区质量、搜索引擎和社区使用经验5个内部驱动因素组成。②健康问题会通过激发用户产生健康认知需求和健康情感感受对用户的健康信息需求产生驱动,进而间接驱动在线健康社区用户信息交互的产生。健康信息需求是健康信息交互的直接驱动因素。③社区特征、搜索引擎和社区使用经验会通过影响感知社区质量对在线健康社区用户信息交互起间接驱动作用。感知社区质量、搜索引擎和社区使用经验、限制条件会综合驱动在线健康社区用户信息交互的产生。

本文引用格式

翟冉冉 , 韩正彪 . 在线健康社区用户信息交互的驱动因素研究[J]. 图书情报工作, 2024 , 68(3) : 15 -26 . DOI: 10.13266/j.issn.0252-3116.2024.03.002

Abstract

[Purpose/Significance] This study aims to reveal the driving factors of user information interaction in online health communities and construct a theoretical model of that from a holistic perspective. [Method/Process] The study conducted semi-structured interviews with 21 online health community users of different ages and occupations with the micro-moment time-line and neutral questions, and analyzed the obtained 209,500 words of interview data on grounded theory. [Result/Conclusion] ① The driving factors for user information interaction in online health communities are composed of three external factors, that is, health problems, community characteristics, and constraints, as well as five internal factors, that is, health cognitive needs, health affective perception, health information needs, perceived community quality, and experience with search engines and communities. ② The health problems will indirectly drive user information interaction by stimulating users’ health cognitive needs and affective perception while the health information needs are the direct factors. ③ Community characteristics, experience with search engine and community will indirectly drive user information interaction by influencing perceived community quality, while perceived community quality, experience with search engines and communities, and constraints will comprehensively work together.

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