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Article
Publication date: 18 February 2019

Xiao-Ling Jin, Zhongyun Zhou and Xiaoyu Yu

The purpose of this paper is to investigate why users are willing to diffuse healthcare knowledge in social media by drawing on the communicative ecology theory (CET) and…

Abstract

Purpose

The purpose of this paper is to investigate why users are willing to diffuse healthcare knowledge in social media by drawing on the communicative ecology theory (CET) and prior research on interpersonal communication.

Design/methodology/approach

This paper conducts a large-scale scenario-based online survey in WeChat (the most popular social media platform in China) to test the proposed research model and hypotheses. The final data set consists of 1,039 useful responses from WeChat users.

Findings

The results indicate that interestingness, emotionality and institution-based trust are the strongest antecedents in predicting healthcare knowledge-diffusing likelihood, followed by usefulness, source credibility and positivity. Further, the relationship between institution-based trust and healthcare knowledge-diffusing likelihood is partially mediated by source credibility.

Practical implications

Healthcare practitioners who seek to motivate individuals to disseminate healthcare knowledge need to phrase or frame healthcare knowledge in a way that draws greater interest, evokes stronger emotion, increases perceived usefulness or reflects positively on themselves. Healthcare organizations should also pay attention to strengthening users’ trust in the platform and source-related information that can indicate source authority.

Originality/value

This study is one of the first to investigate the dissemination of healthcare knowledge in the context of social media (WeChat in particular). Compared with other types of information, healthcare knowledge is more scientific and professional to the extent that most laypersons do not have relevant expertise to directly evaluate whether the content is credible and of high quality. Rather, their sharing likelihood is dependent more on other factors than perceived information quality and credibility; those factors include platform-related factors that may play an important role but has been overlooked in prior literature on interpersonal communication. By combining CET with interpersonal communication-related research and including institution-based trust as an important determinant of healthcare knowledge dissemination, this study provides a comprehensive analysis of healthcare knowledge diffusion process.

Details

Information Technology & People, vol. 32 no. 4
Type: Research Article
ISSN: 0959-3845

Keywords

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Article
Publication date: 26 June 2020

Weisheng Chiu, Heetae Cho and Christina G. Chi

This study aimed to explore consumers' continuance intention to use a fitness and health app by applying two theoretical models: the expectation–confirmation model (ECM…

Abstract

Purpose

This study aimed to explore consumers' continuance intention to use a fitness and health app by applying two theoretical models: the expectation–confirmation model (ECM) and the investment model (IM).

Design/methodology/approach

An online survey was administered to consumers who are currently using fitness and health apps (N = 342). Structural equation modeling (SEM) was conducted using Amos 22.0 software to examine the hypothesized relationships in the research model.

Findings

Results revealed that users' continuance intention was significantly predicted by the two models. Within the ECM, the positive and significant relationships among variables were found. Moreover, users' satisfaction and investment size had positive impacts on their commitment, which, in turn, positively affected the intention. Also, confirmation of expectations had a positive impact on investment size.

Originality/value

The integrated model helps better understand fitness and health app users' decision-making process from the perspective of relationship commitment and suggests practical implications for health and fitness app providers.

Details

Information Technology & People, vol. 34 no. 3
Type: Research Article
ISSN: 0959-3845

Keywords

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