[影响成都市2023年大学生健康科普微信账号持续使用意愿的因素]。

Fangyan Chen, Xiaowen Hu, Pengbo Fu, Ping Yuan
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引用次数: 0

摘要

目的:探讨影响成都市大学生健康科普b微信账号持续使用意愿的因素。方法:采用分层整群随机抽样的方法,抽取2023年成都市10所高校学生作为研究对象,采用问卷调查的方式收集数据。问卷内容包括人口统计信息、健康科普微信账户使用模式、影响持续使用意愿的因素等。问卷设计完成后,教师或导师将调查链接或二维码分发给学生,学生自愿匿名填写问卷。描述性分析采用SPSS 26.0,结构方程模型拟合、路径系数检验、中介效应检验采用AMOS 26.0。结果:剔除无效问卷后,共纳入有效问卷745份。结构方程模型拟合良好(CMIN/DF=4.106, RMSEA=0.065, NFI=0.898, CFI=0.921)。通径系数分析显示,健康信息质量(标准化系数0.54,P<0.001)、社会价值(标准化系数0.177,P<0.001)和感知娱乐价值(标准化系数0.246,P<0.001)对期望确认有正向影响。服务质量负向影响感知有用性(标准化系数-0.223,P=0.037)。健康信息质量(标准化系数0.899,P<0.001)和期望确认(标准化系数0.167,P=0.004)正向影响感知有用性,感知有用性与满意度(标准化系数0.988,P<0.001)正向影响持续使用意愿。中介效应分析显示,期望确认通过满意度间接影响持续使用意愿,间接效应为0.475(95%CI 0.240 ~ 0.800)。健康信息质量通过感知有用性和期望确认间接影响持续使用意愿,间接效应分别为0.296(95%CI 0.094-0.768)和0.290(95%CI 0.085-0.897)。期望确认也通过感知有用性间接影响持续使用意图,间接效应为0.049(95%CI 0.004-0.140)。社会价值通过期望确认和感知有用性间接影响持续使用意图,间接效应为0.008(95%CI 0.000 ~ 0.040),通过期望确认和满意度间接影响持续使用意图,间接效应为0.084(95%CI 0.015 ~ 0.233)。服务质量通过感知有用性对持续使用意愿的间接影响为-0.080(95%CI-0.138-0.016),不显著。感知娱乐价值通过期望确认和感知有用性间接影响持续使用意图,间接效应为0.012(95%CI 0.000-0.052),通过期望确认和满意度间接影响持续使用意图,间接效应为0.117(95%CI 0.030-0.298)。结论:期望确认、健康信息质量、感知娱乐价值、感知有用性和满意度是影响用户满意度的因素;持续使用意图。期望确认、健康信息质量和感知娱乐价值间接影响用户满意度;通过感知有用性和满意度来持续使用意图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Factors influencing the continued intention to use health science popularization WeChat accounts among university students in Chengdu in 2023].

Objective: Exploring factors influencing the continued use intention of health science popularization WeChat accounts among university students in Chengdu.

Methods: Stratified cluster random sampling was employed to select students from 10 universities in Chengdu in 2023 as research subjects, with data collected via a questionnaire. The questionnaire encompassed demographic information, usage patterns of health science popularization WeChat accounts, and factors influencing continued use intentions. After designing the questionnaire on the Wenjuanxing website, teachers or tutors distributed the survey link or QR code to students, who voluntarily completed the questionnaire anonymously. Descriptive analysis was conducted using SPSS 26.0, while structural equation model fitting, path coefficient testing, and mediation effect testing were performed using AMOS 26.0.

Results: After excluding invalid questionnaires, a total of 745 valid responses were included. The structural equation model demonstrated good fit(CMIN/DF=4.106, RMSEA=0.065, NFI=0.898, CFI=0.921). Path coefficient analysis revealed positive impacts of health information quality(standardized coefficient 0.54, P<0.001), social value(standardized coefficient 0.177, P<0.001), and perceived entertainment value(standardized coefficient 0.246, P<0.001) on expectation confirmation. Service quality negatively influenced perceived usefulness(standardized coefficient-0.223, P=0.037). Health information quality(standardized coefficient 0.899, P<0.001) and expectation confirmation(standardized coefficient 0.167, P=0.004) positively influenced perceived usefulness, which along with satisfaction(standardized coefficient 0.988, P<0.001) positively influenced continued use intention. The mediation effect analysis revealed that expectation confirmation indirectly affects continued use intentions through satisfaction, with an indirect effect of 0.475(95%CI 0.240-0.800). Health information quality indirectly influences continued use intentions through perceived usefulness and expectation confirmation, with indirect effects of 0.296(95%CI 0.094-0.768) and 0.290(0.085-0.897), respectively. Expectation confirmation also indirectly influences continued use intentions through perceived usefulness, with an indirect effect of 0.049(95%CI 0.004-0.140). Social value indirectly affects continued use intentions through expectation confirmation and perceived usefulness, with an indirect effect of 0.008(95%CI 0.000-0.040), and through expectation confirmation and satisfaction, with an indirect effect of 0.084(95%CI 0.015-0.233). The indirect effect of service quality on continued use intentions through perceived usefulness was-0.080(95%CI-0.138-0.016), which was not significant. Perceived entertainment value indirectly influences continued use intentions through expectation confirmation and perceived usefulness, with an indirect effect of 0.012(95%CI 0.000-0.052), and through expectation confirmation and satisfaction, with an indirect effect of 0.117(95%CI 0.030-0.298).

Conclusion: Expectation confirmation, health information quality, perceived entertainment value, perceived usefulness, and satisfaction are factors influencing users' continued usage intentions. Expectation confirmation, health information quality, and perceived entertainment value indirectly affect users' continued usage intentions through perceived usefulness and satisfaction.

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