Can the adoption of health information on social media be predicted by information characteristics?

Wang, Zhibing; Sun, ZJ

doi:10.1108/ajim-12-2019-0369

Cited by 14 publications

(16 citation statements)

References 59 publications

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“…Park (2020) demonstrated that three aspects of information value, namely, information credibility, information quality and information need are viewed as motivators of information adoption based on information acceptance model. Likewise, health information adoption was influenced by information features via social media (Sina Weibo), comprising information relevance and source credibility (Wang and Sun, 2020). Furthermore, Sixsmith (2020) stated that advanced technologies (e.g.…”

Section: Social Media-based Healthcare For Disease Information Exchangementioning

confidence: 99%

How social media fosters the elders' COVID-19 preventive behaviors: perspectives of information value and perceived threat

Nguyen

2021

LHT

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PurposeAlthough crisis communication via social media has engaged academia's attention during the disease outbreak, information value for preventive behaviors is inadequately studied. The purpose of this paper is to cast light on how to strengthen the uptake of older people's coronavirus disease 2019 (COVID-19) behavioral outcomes due to information value and perceived threat through social media.Design/methodology/approachThis study designs a survey and applies structural equation modeling to examine a research framework. A sample comprises 334 Vietnamese older participants who have utilized social media.FindingsThe results illustrate that preventive behaviors are determined by perceived threat (i.e. severity and susceptibility). Furthermore, older people heighten risk perceptions based on information characteristics, including information relevance, informative support and source credibility. Lastly, information relevance is a strong predictor of source credibility.Practical implicationsThe findings assist practitioners to enhance crisis communication effectiveness via social media by imparting valuable information to the public. Moreover, this paper offers overarching guidelines on the improvement in credibility with creators, risk consciousness and preventive behaviors.Originality/valueAlthough earlier studies focused attentiveness on the power of social media for raising threat perceptions, this work seems the first to unveil informative motives for perceived COVID-19 threat across older individuals, which subsequently presents plausible reasons for behavioral disclosure, including facemask-wearing, hand-washing and social distancing.

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Section: Social Media-based Healthcare For Disease Information Exchangementioning

confidence: 99%

How social media fosters the elders' COVID-19 preventive behaviors: perspectives of information value and perceived threat

Nguyen

2021

LHT

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“…argument quality) and extrinsic motivations (i.e. peripheral cues) (Wang and Sun, 2020). As one of the most commonly accepted theories in information system research, the ELM assists researchers in revealing the influence process itself.…”

Section: Theoretical Background and Research Model 21 Theoretical Bac...mentioning

confidence: 99%

“…According to previous studies, information characteristics influence credibility, attitude and information adoption in online review and social media (Park, 2020;Thomas et al, 2019;Wang and Sun, 2020), while others have demonstrated the formulation of health information acceptance in the general disease (Huo et al, 2018). The interpretation of a mechanism of health information acceptance via m-applications in the COVID-19 context is inadequate.…”

Section: Introductionmentioning

confidence: 99%

“…One of the managerial challenges is to understand the effect of information on business sustainability and analyze how the link between information and technology boost perceptions and information acceptance for disease avoidance (Jordão, 2022). Users deliberately weigh the benefits of outcomes over the risks before accepting health information (Wang and Sun, 2020). They are hesitant to accept online information based on perceived uncertainty and incredibility (Zhou, 2021).…”

Section: Introductionmentioning

confidence: 99%

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Determinants of health information acceptance to COVID-19 avoidance: the lens of information acceptance model and elaboration likelihood model

2023

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Purpose This study aims to analyze the motivations underlying information usefulness, attitude and acceptance of health information related to coronavirus disease 2019 (COVID-19) avoidance based on the information acceptance model (IAM) and the elaboration likelihood model (ELM). Design/methodology/approach This study conducted a quantitative approach using survey that generated 364 valid responses. Structural equation modeling was applied to analyze the data and evaluate the hypotheses. Findings The results of this study showed that the determinants of information usefulness are argument quality (comprising accuracy and timeliness) and peripheral route (comprising credibility and relevance), whereas no significant relationship was found between completeness and information quantity and information usefulness. Further analysis indicated that attitude and information usefulness significantly affect health information acceptance to COVID-19 avoidance. Research limitations/implications Using ELM and IAM, an explanation of health information acceptance in the salient pandemic context was given. This study contributed to the current literature by offering insights into attitude and information usefulness for information acceptance. The validation of the model was strengthened by identifying the effects of argument quality and peripheral route attributes on information usefulness, which is stated to make contributions to the earlier literature. Practical implications Practitioners should strive to understand the facilitators regarding argument quality and peripheral routes to broaden information usefulness. The findings of this study are helpful for practitioners to implement communication campaigns that foster attitude and health information acceptance in the COVID-19 pandemic as well as in similar disease situations. Social implications This study provides individuals and organizations with necessary information about the importance of mobile applications (m-applications) in distributing online information and about reliable guidelines for the implementation of disease avoidance to improve their health status. Originality/value Existing studies investigated users’ health information acceptance in some contexts related to general disease, but less is known about this behavior among young individuals via m-applications at the moment of COVID-19 and in emerging economies. This study identifies the efforts made by the relationship between information and technological diffusion to help individuals surmount difficulties in times of crisis.

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“…These routes are information quality as central route and source credibility as a peripheral route. In the current study, a detailed review was undertaken for information adoption model in various contexts including social media adoption (Chung, Han & Koo, 2015), eWom adoption (Filieri, Alguezaui, & McLeay 2015, Hussain et al, 2017, Purchase Intention (Khwaja, Mahmood & Zaman, 2020), online product adoption for new product development (Lee & Yang, 2014), travel websites adoption (Tseng & Wang, 2015), online reviews adoption (Shen, Zhang & Zhao, 2015), Health Sector (Wang & Sun, 2020).…”

Section: 1) Information Adoption Modelmentioning

confidence: 99%

What Are the Determinants of Consumers' Online Reviews Adoption for Hotel Bookings: A Structural Equation Modelling Approach

Lata¹,

Rana

2021

ENLIGHTENING TOURISM

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Experienced travelers share their reviews regarding hotel services which serve as a testimony for novice travelers and help them to make their decision whether to book that hotel or not. The current study aims to identify the various factors affecting the intentions of travelers for online hotel bookings. Data was collected from 419 respondents who adopt online reviews published on online travel aggregators for online hotel bookings. The respondents for this study are taken from Delhi. Further, the hypotheses of this study were validated with the help of structural equation modeling (SEM) using partial least squares (PLS). The paper found Information quality; Source credibility, Information sidedness, and Information consistency are the significant predictor of traveler's Information usefulness for hotel bookings. Further, the relationship between Information usefulness and online hotel bookings intentions was also found statically significant. This study has provided implications for hotel managers that hotel managers should continue to monitor the negative reviews and take some necessary actions to overcome these issues. As well as they should focus on their service quality which helps them to make their customers happy and encourage them to upload positive reviews. This study analyzed the travelers' adoption of usergenerated reviews from online travel aggregators for online hotel bookings by using an information adoption model with additional constructs.

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Can the adoption of health information on social media be predicted by information characteristics?

Cited by 14 publications

References 59 publications

How social media fosters the elders' COVID-19 preventive behaviors: perspectives of information value and perceived threat

How social media fosters the elders' COVID-19 preventive behaviors: perspectives of information value and perceived threat

Determinants of health information acceptance to COVID-19 avoidance: the lens of information acceptance model and elaboration likelihood model

What Are the Determinants of Consumers' Online Reviews Adoption for Hotel Bookings: A Structural Equation Modelling Approach

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