Evaluation of E-Government Services Based on Social Media Using Structural Equation Modeling
Hendro Nindito, Evaristus Didik Madyatmadja, Albert Verasius Dian Sano
Abstract
Hendro Nindito, Evaristus Didik Madyatmadja, Albert Verasius Dian Sano
Abstract
Today many local governments have provided aspiration services or social media based complaints about the community to participate in giving aspirations and report problems that occur around the area. To improve the usefulness of this service, we conduct research with the aim of evaluating and identifying the factors that affect the service's application. The impact of this study is that the government can provide services according to the wishes of the community, because the model found can be a reference for the government to increase public trust and satisfaction for users of government services. The influence on the adoption of Aspiration Services is explained by using perceptions of trust, attitudes, and intentions of use that refer to technology acceptance models (TAM). Data processing and analysis in our research using the SEM-PLS method (Structural Equation Model - Partial Least Square). The results in this research will present that services applying technology that gain a positive effect on the awareness of usability and benefit for service users.
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Today many local governments have provided aspiration services or social media based complaints about the community to participate in giving aspirations and report problems that occur around the area. To improve the usefulness of this service, we conduct research with the aim of evaluating and identifying the factors that affect the service's application. The impact of this study is that the government can provide services according to the wishes of the community, because the model found can be a reference for the government to increase public trust and satisfaction for users of government services. The influence on the adoption of Aspiration Services is explained by using perceptions of trust, attitudes, and intentions of use that refer to technology acceptance models (TAM). Data processing and analysis in our research using the SEM-PLS method (Structural Equation Model - Partial Least Square). The results in this research will present that services applying technology that gain a positive effect on the awareness of usability and benefit for service users.
Key concepts: Structural equation modeling, Usability, Technology acceptance model, E-Government, Government (linguistics), Social media, Service (business), Perception