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Explaining mobile government social media continuance from the valence perspective: A SEM-NN approach
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 u...
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| Published in: | PloS one 2021-02, Vol.16 (2), p.e0246483-e0246483 |
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| creator | Peng, Yubo Wang, LingWu Yang, Shuiqing |
| description | 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. |
| doi_str_mv | 10.1371/journal.pone.0246483 |
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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.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0246483</identifier><identifier>PMID: 33539466</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Administrative agencies ; Biology and Life Sciences ; Censorship ; Computer and Information Sciences ; Decision making ; Digital media ; Electronic commerce ; Influence ; Information management ; Internet ; Mobile commerce ; Privacy ; Public relations ; Research and Analysis Methods ; Services ; Sharing economy ; Social media ; Social networks ; Social Sciences ; Technology Acceptance Model ; User behavior</subject><ispartof>PloS one, 2021-02, Vol.16 (2), p.e0246483-e0246483</ispartof><rights>COPYRIGHT 2021 Public Library of Science</rights><rights>2021 Peng et al. 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Baogui</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Explaining mobile government social media continuance from the valence perspective: A SEM-NN approach</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2021-02-04</date><risdate>2021</risdate><volume>16</volume><issue>2</issue><spage>e0246483</spage><epage>e0246483</epage><pages>e0246483-e0246483</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><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. 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| subjects | Administrative agencies Biology and Life Sciences Censorship Computer and Information Sciences Decision making Digital media Electronic commerce Influence Information management Internet Mobile commerce Privacy Public relations Research and Analysis Methods Services Sharing economy Social media Social networks Social Sciences Technology Acceptance Model User behavior |
| title | Explaining mobile government social media continuance from the valence perspective: A SEM-NN approach |
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