Understanding consumer health information-seeking behavior from the perspective of the risk perception attitude framework and social support in mobile social media websites
Understanding consumer health information-seeking behavior from the perspective of the risk perception attitude framework and social support in mobile social media websites
复制标题
从移动社交媒体网站风险认知态度框架和社会支持角度理解消费者健康信息寻求行为
DOI：
10.1016/j.ijmedinf.2017.05.014
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发表时间：
2017-09-01
影响因子：
4.9
通讯作者：
Liu, Shan
中科院分区：
文献类型：
--
作者：
Deng, Zhaohua;Liu, Shan
目的：本研究整合风险感知态度框架和社会支持，探讨影响消费者在移动社交媒体网站上寻求健康信息意愿的因素。方法：建立由健康风险感知、健康自我效能感和健康信息寻求意向四个社会支持维度组成的研究模型。对病情不严重的患者进行了调查。采用两步结构方程建模方法对研究模型进行了验证。结果：在社会支持的四个维度中，有形支持和评价支持显著影响感知风险，而情感支持和尊重支持显著影响健康自我效能感。健康风险感知和健康自我效能感对消费者健康信息寻求行为意愿有显著影响。具体而言，健康自我效能显著调节感知风险与行为意向的关系。结论：本研究突出了社会资本和风险感知态度框架对健康信息寻求意向的综合影响。它研究了移动社交媒体环境中感知健康风险、健康自我效能和行为意图之间的关系。研究结果有助于理解社会资本因素对健康风险感知和健康自我效能的影响。
Objective: This study integrates the risk perception attitude framework and social support to examine factors influencing consumers' intentions to seek health information in mobile social media websites.Method: We develop a research model consisting of four social support dimensions, perceived health risk, health self-efficacy, and health information-seeking intention. A survey is conducted among patients with non-serious conditions. A two-step approach of structural equation modeling is used to test the research model.Results: Among the four dimensions of social support, tangible support and appraisal support significantly influence perceived risk, whereas emotional support and esteem support significantly influence health self-efficacy. Perceived health risk and health self-efficacy significantly influence the health information-seeking behavior intention of consumers. Specifically, health self-efficacy significantly moderates the relationship between perceived risk and behavior intention.Conclusions: This study highlights the integrated effects of social capital and risk perception attitude framework on health information-seeking intention. It examines relationships among perceived health risk, health selfefficacy, and behavior intention in the mobile social media context. The findings help understand effects of social capital factors on perceived health risk and health self-efficacy.