Factors Affecting Users’ Continuous Usage in Online Health Communities: An Integrated Framework of SCT and TPB

Cao, Zhuolin; Zheng, Jian; Liu, Renjing

doi:10.3390/healthcare11091238

Cited by 2 publications

(1 citation statement)

References 76 publications

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“…Therefore, HBM has progressively been applied to the study of health information behaviors, such as consumer acceptance of online mental health resources ( 24 ) and online health information services ( 25 ). Considering that women’s perceptions of their health status and their ability to use mobile health technology ( 26 ) may influence their willingness to continue using women’s health WeChat public accounts, the hypothetical model of this study incorporated threat perception and self-efficacy from the HBM.…”

Section: Introductionmentioning

confidence: 99%

Factors influencing the continuance intention of the women’s health WeChat public account: an integrated model of UTAUT2 and HBM

Min,

Li,

et al. 2024

Front. Public Health

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BackgroundWomen’s health WeChat public accounts play a crucial role in enhancing health literacy and fostering the development of healthy behaviors among women by disseminating women’s health knowledge. Improving users’ continuous usage behavior and retention rates for the women’s health WeChat public account is vital for influencing the overall effectiveness of health communication on WeChat.ObjectiveThis study aimed to construct a comprehensive model, delving into the key factors influencing women’s continuance intention of the women’s health public accounts from the perspectives of perceived health threats, individual abilities, and technological perceptions. The goal is to provide valuable insights for enhancing user stickiness and the effectiveness of health communication on WeChat public accounts.MethodAn online survey was conducted among women receiving gynecological care at a certain hospital to gage their willingness for sustained use of the women’s health WeChat public accounts. Through structural equation modeling, the study investigated the influencing factors on women’s sustained intention to use the women’s health WeChat public accounts.ResultsThe study included a total of 853 adult women. Among them, 241 (28.3%) women had followed women’s health official accounts in the past but do not currently follow them, 240 (28.1%) women had followed women’s health official accounts in the past and are still following them, and 372 (43.6%) women had never followed women’s health official accounts. Currently, 240 women are still browsing women’s health public accounts, 52 of whom read women’s health public accounts every day, and most of them read women’s health public accounts for 10–20 min at a time (100, 11.7%). The results of the structural equation model revealed that performance expectancy, social influence, hedonic motivation, habit, and e-health literacy had significantly positive effects on women’s sustained intention to use public accounts (performance expectancy: β = 0.341, p < 0.001; social influence: β = 0.087, p = 0.047; hedonic motivation: β = 0.119, p = 0.048; habit: β = 0.102, p < 0.001; e-health literacy: β = 0.158, p < 0.001). E-health literacy and self-efficacy indirectly influence sustained intention by affecting performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, and habit. The effect sizes of e-health literacy on performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, and habit were 0.244 (p < 0.001), 0.316 (p < 0.001), 0.188 (p < 0.001), 0.226(p < 0.001), 0.154 (p < 0.001), and 0.073 (p = 0.046). The effect sizes of self-efficacy on performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, and habit were 0.502 (p < 0.001), 0.559 (p < 0.001), 0.454 (p < 0.001), 0.662 (p < 0.001), 0.707 (p < 0.001), and 0.682 (p < 0.001). Additionally, perceived severity and perceived susceptibility indirectly affected sustained intention by influencing performance expectancy and social influence. The effect sizes of perceived severity on performance expectancy and social influence were 0.223 (p < 0.001) and 0.146 (p < 0.001). The effect size of perceived susceptibility to social influence was 0.069 (p = 0.042).ConclusionUsers’ e-health literacy, self-efficacy, perception of disease threat, and users’ technological perceptions of the WeChat public accounts are critical factors influencing women’s continuance intention of using the WeChat public accounts. Therefore, for female users, attention should be given to improving user experience and enhancing the professionalism and credibility of health information in public account design and promotion. Simultaneously, efforts should be made to strengthen users’ health awareness and cultivate e-health literacy, ultimately promoting sustained attention and usage behavior among women toward health-focused public accounts.

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Section: Introductionmentioning

confidence: 99%

Factors influencing the continuance intention of the women’s health WeChat public account: an integrated model of UTAUT2 and HBM

Min,

Li,

et al. 2024

Front. Public Health

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The Influence of Climate Perception and Low-Carbon Awareness on the Emission Reduction Willingness of Decision Makers in Large-Scale Dairy Farming: Evidence from the Midwest of Inner Mongolia, China

Lu,

Qiao

2024

Sustainability

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In recent years, global climate change has profoundly influenced natural ecosystems and human societies, making climate mitigation and carbon emission reduction a point of consensus among the international community. The issue of carbon emissions in agriculture, particularly in the livestock sector, is garnering increasing attention. This study focuses on large-scale dairy farms in the central and western regions of Inner Mongolia, exploring their low-carbon production behavioral intentions and influencing factors. By constructing a structural equation model (PLS-SEM), we systematically analyze the relationships between variables such as climate perception, value judgment, attitude, subjective norms, and perceived control and their combined effects on low-carbon production behavioral intentions. The findings suggest that the influence of climate perception and low-carbon awareness is mediated. Thus, the stronger the farm owners’ perception of climate change, the more they recognize the value of low-carbon production and the greater the social pressure they experience and their sense of self-efficacy. The farm owners’ attitudes, perceptions of social norms, and evaluations of their own capabilities collectively determine their intentions regarding low-carbon production. Furthermore, multi-group analysis showed significant heterogeneity in behavioral intentions between different scales of dairy farms. Small-scale farms, due to their weaker economic capacity, tend to harbor negative attitudes towards low-carbon production, while large-scale farms, with greater economic power and sensitivity to policy and market demands, are more likely to take low-carbon actions. This study provides theoretical support for formulating effective low-carbon policies, contributing to the sustainable development of the livestock sector and agriculture as a whole.

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Factors Affecting Users’ Continuous Usage in Online Health Communities: An Integrated Framework of SCT and TPB

Cited by 2 publications

References 76 publications

Factors influencing the continuance intention of the women’s health WeChat public account: an integrated model of UTAUT2 and HBM

Factors influencing the continuance intention of the women’s health WeChat public account: an integrated model of UTAUT2 and HBM

The Influence of Climate Perception and Low-Carbon Awareness on the Emission Reduction Willingness of Decision Makers in Large-Scale Dairy Farming: Evidence from the Midwest of Inner Mongolia, China

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