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Disentangling the effects of efficacy-facilitating informational support on health resilience in online health communities based on phrase-level text analysis
Information & Management ( IF 8.2 ) Pub Date : 2020-09-28 , DOI: 10.1016/j.im.2020.103372
Insu Park , Surendra Sarnikar , Jeewon Cho

This study examines the different types of supportive messages posted on a forum at online Healthcare communities (OHCs), which facilitate user self-efficacy and response-efficacy and an issue of how such informational messages encourage users to enhance their health resilience via goal-setting for health improvement. We theorize that self-efficacy-oriented messages affect helpfulness, focusing on the efficiency of the implementation, while response-efficacy-oriented messages influence the relationships among helpfulness, goal-settings, and health resilience based on the outcome expectancy. Using a computer assisted approach which allows for the directed content analysis, we test a conceptual model with the text-data collected from an OHC.



中文翻译:

基于短语级别的文本分析,对提高功效的信息支持对在线健康社区的健康弹性的影响进行分解

这项研究调查了在线医疗社区(OHC)的论坛上发布的不同类型的支持消息,这些消息可促进用户的自我效能和响应效率,以及有关此类信息性消息如何通过目标设定鼓励用户增强其健康适应性的问题改善健康状况。我们认为,以自我效能为导向的信息会影响帮助,侧重于执行的效率,而以响应效能为导向的信息会影响基于结果预期的帮助,目标设定和健康弹性之间的关系。使用允许定向内容分析的计算机辅助方法,我们使用从OHC收集的文本数据测试概念模型。

更新日期:2020-10-02
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