Abstract:The sustainable development of mobile government social media depends citizens’ continued use. Based on the Stimulus-Organism-Response framework and social response theory, the present study investigated the impacts of perceived similarity and anthropomorphic cues on citizens’ mobile government microblog continuance. A research model of mobile government microblog continuance was developed and empirical tested by using dataset collected from 428 mobile government microblog citizens in China. The results of str… Show more
“…Extant studies tend to explored the mobile GSM usage behaviors based on the leading TAM (technology acceptance model) and its extensions [7,8]. Some researchers argued that these technology performance-based theories cannot explain "why and how" people decide to use a specific social media to satisfy their needs [9].…”
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.
“…Extant studies tend to explored the mobile GSM usage behaviors based on the leading TAM (technology acceptance model) and its extensions [7,8]. Some researchers argued that these technology performance-based theories cannot explain "why and how" people decide to use a specific social media to satisfy their needs [9].…”
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.
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