在线健康信息用户依从意愿的关键因素与组态路径——基于PLS-SEM与fsQCA的混合方法研究

Understanding the Key Factors and Configurational Paths of Users Compliance Willingness to Online Health Information--Based on PLS-SEM and fsQCA

[目的/意义]用户依从对于在线健康信息服务有效性和治疗效果具有重要意义,分析在线健康信息用户依从意愿的关键因素和生成路径,有助于为用户自我管理和在线健康社区建设提供参考。[方法/过程]基于详尽可能性模型(ELM)与技术接受模型(TAM),从在线健康信息特征、用户特征维度构建模型,设计情景实验收集数据,随后采用偏最小二乘结构方程模型(PLS-SEM)分析各因素对用户依从意愿的影响机制,并使用模糊集定性比较分析法(fsQCA)探讨用户依从意愿的生成路径。[结果/结论]论据质量、来源可信度显著正向影响信息有用性和信息易用性,且通过信息有用性和信息易用性的中介作用积极影响用户依从意愿,需求者参与和提供者竞争发挥调节作用,信息类型在上述影响过程中存在一定的权变效应。定性比较分析结果显示分别存在3条和5条路径用于生成保守治疗方案、新兴治疗方案的依从意愿。融合PLS-SEM与fsQCA的混合方法为探讨在线健康信息用户依从意愿的影响机制提供了新的思路,为提高用户依从意愿提供了针对性的路径和参考。

[Purpose/Significance]Users compliance willingness is of great significance for the effectiveness of online health information services and treatment effects.Understanding the key factors and configurational paths of users compliance willingness is helpful to provide reference for users self-management practices and the construction and management of online health communities(OHCs).[Method/Process]Based on Elaboration Likelihood Model(ELM)and Technology Acceptance Model(TAM),the model was constructed from dimensions of online health information s characteristics and users characteristics.This paper conducted a scenario-based experiment.Then,the partial least square-structural equation model(PLS-SEM)was used to analyze the influencing mechanism of various factors on user compliance intention,and the fuzzy set qualitative comparative analysis(fsQCA)was employed to explore the generation path of users compliance willingness.[Result/Conclusion]Results indicate that argument quality and source credibility have a significantly and positively impact on information usefulness and information ease of use,and positively affect user compliance willingness through the mediating effect of information usefulness and information ease of use.Meanwhile,demander participation and provider competition played a moderating role,and there was a contingency effect of the information type in the process.Moreover,3 and 5 configurational paths could be utilized to increase high users compliance willingness of emerging treatment protocols and mature treatment protocols,respectively.The combined approach of PLS-SEM and fsQCA offers a novel methodology for investigating the underlying mechanism that influences the users compliance willingness of online health information.Moreover,it provides a focused direction and valuable insights for enhancing user compliance.