是什么促使用户愿意遵守在线健康社区中的健康信息：主观规范视角

IF 3.1 3区管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

Online Information Review Pub Date : 2024-04-17 DOI:10.1108/oir-09-2023-0461

Cuicui Feng, Ming Yi, Min Hu, Fuchuan Mo

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引用次数: 0

摘要

目的随着在线健康社区（OHC）成为获取健康信息的重要途径，用户获取医疗健康信息的环境发生了巨大变化。本研究采用信息采纳模型（IAM）和计划行为理论（TPB），考察了论据质量（AQ）、来源可信度（SC）和主观规范（SN）对用户遵从意愿（UCW）的影响，同时考虑了成熟和新兴两种在线健康信息。作者采用偏最小二乘结构方程模型（PLS-SEM），在 2（处理类型：成熟与新兴）*2（AQ：高与低）*2（SC：高与低）情景实验的基础上进行了解释-预测研究。AQ、SC 和 SN 对信息有用性（IU）有促进作用。这些因素通过 IU 的中介作用对 UCW 产生积极影响。研究发现，SN 直接改善了 UCW。此外，SC 对 AQ 和 IU 的调节作用对于新出现的治疗方法更为显著。原创性/价值该研究模型整合了 IAM 和 TPB，并将信息类型视为一个额外变量。研究方法和研究结果为解释老年健康中心对健康信息的普遍依赖提供了有价值的解释。

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What facilitates users’ compliance willingness to health information in online health communities: a subjective norms perspective

PurposeThe environment in which users acquire medical and health information has changed dramatically, with online health communities (OHCs) emerging as an essential means for accessing health information. It is imperative to comprehend the factors that shape the users' compliance willingness (UCW) to health information in OHCs.Design/methodology/approachThis study adopted the information adoption model (IAM) and theory of planned behavior (TPB) to investigate the influence of argument quality (AQ), source credibility (SC) and subjective norms (SN) on UCW while considering the two types of online health information – mature and emerging treatments. The authors conducted an explanatory-predictive study based on a 2 (treatment types: mature vs. emerging) * 2 (AQ: high vs. low) * 2 (SC: high vs. low) scenario-based experiment, using the partial least squares structural equation modeling (PLS-SEM).FindingsSC positively influences AQ. AQ, SC and SN contribute to information usefulness (IU). These factors positively affect UCW through the mediation of IU. SN were found to improve UCW directly. Moreover, the moderating effect of SC on AQ and IU was more substantial for emerging treatments.Originality/valueThe research model integrates IAM and TPB, considering information types as an additional variable. The approach and findings provide a valuable explanation for UCW to health information in OHCs.

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来源期刊

Online Information Review 工程技术-计算机：信息系统

CiteScore

6.90

自引率

16.10%

发文量

审稿时长

6 months

期刊介绍： The journal provides a multi-disciplinary forum for scholars from a range of fields, including information studies/iSchools, data studies, internet studies, media and communication studies and information systems. Publishes research on the social, political and ethical aspects of emergent digital information practices and platforms, and welcomes submissions that draw upon critical and socio-technical perspectives in order to address these developments. Welcomes empirical, conceptual and methodological contributions on any topics relevant to the broad field of digital information and communication, however we are particularly interested in receiving submissions that address emerging issues around the below topics. Coverage includes (but is not limited to): •Online communities, social networking and social media, including online political communication; crowdsourcing; positive computing and wellbeing. •The social drivers and implications of emerging data practices, including open data; big data; data journeys and flows; and research data management. •Digital transformations including organisations’ use of information technologies (e.g. Internet of Things and digitisation of user experience) to improve economic and social welfare, health and wellbeing, and protect the environment. •Developments in digital scholarship and the production and use of scholarly content. •Online and digital research methods, including their ethical aspects.