Dataset Information

Explaining mobile government social media continuance from the valence perspective: A SEM-NN approach.

ABSTRACT: Different from many previous studies explain mobile social media usage from a technical-center perspective, the present study investigates the factors that influence citizens' mobile government social media (GSM) continuance based on the valence framework. The research model was calculated by using data collected from 509 citizens who are the mobile GSM users in China. A structural equation modeling (SEM)-neural network (NN) method was employed to test the research model. The results of SEM indicated that the positive utilities included social value and hedonic value positively affect mobile GSM continuance, while the negative utility reflected by self-censorship negative affect mobile GSM continuance. This is further supported by the results of the neural network model analysis which indicated that hedonic value is more influencing predictor of continuous usage of mobile GSM, following by social value and self-censorship.

SUBMITTER: Peng Y

PROVIDER: S-EPMC7861361 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Explaining mobile government social media continuance from the valence perspective: A SEM-NN approach.

Peng Yubo Y Wang LingWu L Yang Shuiqing S Yang Shuiqing S

PloS one 20210204 2

Different from many previous studies explain mobile social media usage from a technical-center perspective, the present study investigates the factors that influence citizens' mobile government social media (GSM) continuance based on the valence framework. The research model was calculated by using data collected from 509 citizens who are the mobile GSM users in China. A structural equation modeling (SEM)-neural network (NN) method was employed to test the research model. The results of SEM indi ...[more]

PMID: 33539466

Similar Datasets

Project description:AimThe research aimed to study the effect of using WeChat (a mobile social media application) on pregastroscopy anxiety and the cooperation of patients with different coping styles.MethodsIn order to decrease patients' pregastroscopy anxiety and improve the tolerance of unsedated gastroscopy, WeChat, a widely used mobile social media application, was applied to provide information prior to their endoscopic procedure. Two hundred and thirty patients who underwent initial unsedated gastroscopy in a large teaching hospital in China were classified into two groups based on their coping style: information seekers or information avoiders, using the Information Subscale of the Krantz Health Opinion Survey (KHOS-I). Each of the two groups was prospectively randomly assigned to either receiving the brochure information or conjunctive interactive WeChat-delivered information of gastroscopy. To measure the level of state anxiety, the State Anxiety Scale of Spielberg's State-Trait Anxiety Inventory questionnaire was used. State anxiety, blood pressure and heart rate were measured at enrollment, upon arrival, and before gastroscopy.ResultsInformation seekers and avoiders who received information from the brochure and the WeChat platform experienced significantly less state anxiety upon arrival and before gastroscopy. Furthermore, information seekers who received information from the conjunctive WeChat platform had lower frequency of retching, lower scores of nausea and bloating, and better tolerance. Information avoiders who received information from the conjunctive WeChat platform had lower frequency of retching, lower scores of discomfort while swallowing the scope and nausea, and better tolerance. However, we found the percentage of information seekers who preferred no WeChat-delivered pregastroscopy information is greater than WeChat-delivered information at the initial questionnaire. No significant difference was found in blood pressure or heart rate upon arrival and before gastroscopy.ConclusionsAlthough people preferred no WeChat-delivered pregastroscopy information, the provision of gastroscopy information through a mobile social media application, such as WeChat, could significantly reduce patients' pregastroscopy anxiety, lower the frequency of retching, reduce the scores of nausea and bloating, and improve tolerance for information seekers. In addition, it could lower the frequency of retching, reduce the scores of discomfort while swallowing the scope and its concurrent nausea, and improve tolerance for information avoiders.

Dataset Information

Explaining mobile government social media continuance from the valence perspective: A SEM-NN approach.

Publications

Explaining mobile government social media continuance from the valence perspective: A SEM-NN approach.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets