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Purpose: Citizen satisfaction with the government is a longstanding and continuous concern in public administration. However, past research did not investigate the effect on satisfaction with the government in the context of mobile government (m-government). The purpose of this paper is to evaluate how the social benefits of citizens using m-government affect their satisfaction with the government. Design/methodology/approach: Grounded in the uses and gratifications theory (UGT), the authors suggest that the satisfaction in m-government should be constructed in terms of the satisfaction with m-government and the satisfaction with the government. The research model of citizen satisfaction in the context of m-government is tested through partial least squares (PLS) (SmartPLS 2.0) based on data collected from a survey study in China. Findings: The results indicate that the three important social benefits, e.g. convenience, transparency and participation, are positively associated with process gratification, whereas only convenience is positively associated with content gratification. The results suggest that both process gratification and content gratification are positively associated with citizen satisfaction with the government. Furthermore, the research suggests that process and content gratification have a mediating role, whereas compatibility has a moderating role. Practical implications: This research provides insights to practitioners on how to facilitate citizen satisfaction by increasing citizens’ social benefits and improving process and content gratification. Originality/value: This study contributes to the literature by offering a framework for analyzing the impact of citizens’ use of m-government on their satisfaction with the government. The work also contributes to UGT by categorizing user gratifications into process gratifications, content gratifications and citizen satisfaction with the government.
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Purpose: Citizen satisfaction with the government is a longstanding and continuous concern in public administration. However, past research did not investigate the effect on satisfaction with the government in the context of mobile government (m-government). The purpose of this paper is to evaluate how the social benefits of citizens using m-government affect their satisfaction with the government. Design/methodology/approach: Grounded in the uses and gratifications theory (UGT), the authors suggest that the satisfaction in m-government should be constructed in terms of the satisfaction with m-government and the satisfaction with the government. The research model of citizen satisfaction in the context of m-government is tested through partial least squares (PLS) (SmartPLS 2.0) based on data collected from a survey study in China. Findings: The results indicate that the three important social benefits, e.g. convenience, transparency and participation, are positively associated with process gratification, whereas only convenience is positively associated with content gratification. The results suggest that both process gratification and content gratification are positively associated with citizen satisfaction with the government. Furthermore, the research suggests that process and content gratification have a mediating role, whereas compatibility has a moderating role. Practical implications: This research provides insights to practitioners on how to facilitate citizen satisfaction by increasing citizens’ social benefits and improving process and content gratification. Originality/value: This study contributes to the literature by offering a framework for analyzing the impact of citizens’ use of m-government on their satisfaction with the government. The work also contributes to UGT by categorizing user gratifications into process gratifications, content gratifications and citizen satisfaction with the government.
Despite significant theoretical and empirical attention on public value creation in the public sector, the relationship between artificial intelligence (AI) use and value creation from the citizen perspective remains poorly understood. We ground our study in Moore's public value management to examine the relationship between AI use and value creation. We conceptually categorize public service value into public value and private value. We use procedural justice and trust in government as indicators of public value and, based on motivation theory, we use perceived usefulness and perceived enjoyment as indicators of private value. A field survey of 492 AI voice robot users in China was conducted to test our model. The results indicated that the effective use of AI voice robots was significantly associated with private value and procedural justice. However, the relationship between the effective use of AI and trust in government was not found to be significant. Surprisingly, the respondents indicated that private value had a greater effect on overall value creation than public value. This contrasts with the common idea that value creation from the government perspective suggests that social objectives requiring public value are more important to citizens. The results also show that gender and citizens with different experiences show different AI usage behaviors.
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Despite significant theoretical and empirical attention on public value creation in the public sector, the relationship between artificial intelligence (AI) use and value creation from the citizen perspective remains poorly understood. We ground our study in Moore's public value management to examine the relationship between AI use and value creation. We conceptually categorize public service value into public value and private value. We use procedural justice and trust in government as indicators of public value and, based on motivation theory, we use perceived usefulness and perceived enjoyment as indicators of private value. A field survey of 492 AI voice robot users in China was conducted to test our model. The results indicated that the effective use of AI voice robots was significantly associated with private value and procedural justice. However, the relationship between the effective use of AI and trust in government was not found to be significant. Surprisingly, the respondents indicated that private value had a greater effect on overall value creation than public value. This contrasts with the common idea that value creation from the government perspective suggests that social objectives requiring public value are more important to citizens. The results also show that gender and citizens with different experiences show different AI usage behaviors.
