Explaining and Predicting Mobile Government Microblogging Services Participation Behaviors: A SEM-Neural Network Method

Explaining and Predicting Mobile Government Microblogging Services Participation Behaviors: A SEM-Neural Network Method

Citizens' visits and contributions are critical to the success of mobile government microblogging services (GMSs). Drawing on stimulus-organism-response (SOR) framework and the uses and gratifications (U&G) theory, a research model was developed to investigate the impacts of perceived i...

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Bibliographic Details
Main Authors: Yizhi Ding, Shuiqing Yang, Yuangao Chen, Qingqi Long, June Wei
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Mobile government microblogging
perceived value
neural network approach
perceived integration
participation behaviors
Online Access:https://ieeexplore.ieee.org/document/8663362/

Internet

https://ieeexplore.ieee.org/document/8663362/

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