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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.

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.

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.

This research provides insights to practitioners on how to facilitate citizen satisfaction by increasing citizens’ social benefits and improving process and content gratification.

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.

The purpose of this paper is to analyze and evaluate the current status of e-government services in Afghanistan. To identify the evaluation criteria based on citizen satisfaction from e-government services, the proposed government-to-citizen (G2C) evaluation model is considered in the context of Afghanistan.

A conceptual G2C evaluation model and e-government evaluation model are proposed. The criteria used for the G2C evaluation model is based on the demand and supply side, which have an immense effect on citizen satisfaction. The mixed research method (quantitative and qualitative) is used, and quantitative data analysis results are supported through qualitative data analysis.

The findings reveal that citizen satisfaction from e-government services in Afghanistan are affected by services availability on multiple channels, citizen-centric features, paralingual support, process performance, skills divide, awareness, information security and transaction security.

Yet to be addressed, three criteria deemed as significant factors are recommended to be included in the model, namely, government readiness, system quality (usability, service quality and information quality) for supply side and social divide for demand side. These three criteria can help in proposing a successful G2C evaluation model. Additionally, the quantitative data used in this study were collected through paper-based questionnaires. Data collection through Internet can help to get responses from various parts of the country for future evaluation of G2C services.

The key findings of this study are vitally important for e-government strategies and policy makers to design and disseminate appropriate e-government services to Afghan citizens. The proposed evaluation model can also be used as a guideline for e-government development in Afghanistan.

A conceptual model for e-government services evaluation approach is proposed based on literature review. The proposed G2C evaluation model identifies and validates key factors and criteria in the context of Afghanistan.

The objective of this study was to analyse the influencing factors of citizens' dissatisfaction with government services during the COVID-19 pandemic to help government departments identify problems in the service process and possible countermeasures.

The authors first used cosine interesting pattern mining (CIPM) to analyse citizens' complaints in different periods of the pandemic. Second, the potential evaluation indices of customer satisfaction were extracted from the hotline business system through a hypothesis analysis and modelled using multiple regression analysis. During the index transformation and standardization process, a machine-learning algorithm of clustering and emotion analysis was adopted. Finally, the authors used the random forest algorithm to evaluate the importance of the indicators and obtain the indicators more important to citizen satisfaction.

The authors found that the complaint topic, appeal time, urgency of citizens' complaints, citizens' emotions, level of detail in the case record, and processing timeliness and efficiency significantly influenced citizens' satisfaction. When the government addresses complaints in a more standardized and efficient manner, citizens are more satisfied.

During the pandemic, government departments should be more patient with citizens, increase the speed of the case circulation and shorten the processing period of appeals. Staff should record appeals in a more standardized manner, highlighting themes and prioritizing urgent cases to appease citizens and relieve their anxiety.

This paper aims to examine the influence of user characteristics on preference for government service delivery channels. Preferences are understood as citizen use of and satisfaction with digital and traditional government contact modalities. User characteristics are represented by three constructs encapsulating the key elements of citizen features and attitudes.

The constructs are tested on data from a survey of 30 cities in China, resulting in 3,000 respondents, which asked questions on respondents’ use of and satisfaction with traditional modes (hotlines and service center channels) and digital modes (e-government and m-government channels) as well as respondents’ sociodemographics, technological capacity and view of government.

The results showed two important findings. First, service channel use was related to the first and second constructs (sociodemographics and technological capacity). Second, service channel satisfaction showed strong evidence of relation to the third construct, view of government.

The results of this study make an empirical contribution to understanding the features of citizens that influence channel choice for public service contacts.

This study contributes to the understanding of channel choice in three areas. First, it is an empirical study using survey data and so adds to a largely case-based and conceptual literature. Second, by looking at the impact of citizen attitudes about government and not just their sociodemographic features. Third, by examining channel choice in the context of a fast-developing country like China.

Electronic government (e-government) has been suggested as an important tool to improve public services and enhance citizens’ trust in government. Several studies have examined the relationship between e-government service quality, satisfaction and trust in government with conflicting results. This conflict reveals the need for additional examination of the process relating e-government service quality to trust in government. This study aims to introduce a theoretical approach that considers a crucial factor, which is perceived government effort. The model proposes that perceived e-government service quality first leads to satisfaction, which in turn increases perceived effort that finally translates into trust in government.

This study proposes and tests a conceptual model that examines the relationship between e-government service quality, satisfaction, perceived effort and trust in government. The model is tested using mediated regression analyses and Hayes’s PROCESS macro. Data were collected from an online survey of 723 individuals who interacted with e-government services in Kuwait.

The results supported the proposed theoretical model and particularly confirmed the mediating role of perceived effort in the link between e-government service quality and trust in government.

The findings improve the understanding of the behavioral process linking satisfaction with citizen’s trust in the government.

The model introduces a crucial yet previously overlooked factor to the trust-building effect of e-government, which is perceived effort. This factor is particularly important in electronic services that inherently lack face-to-face interaction between citizens and government representatives.

This study examines the effect of multidimensional constructs on citizen loyalty to e-government services. More specifically, it examines the effects of service quality, trust and satisfaction on loyalty to these services.

The data were collected via a questionnaire that was completed by 780 foundation-year students in government universities in Saudi Arabia. The students who participated in the study had used a unified system provided by the Ministry of Education in Saudi Arabia for university admission. The data were analysed using structural equation modelling.

The key findings revealed that the factors service quality, trust in government, trust in e-government services and citizen satisfaction play a significant role in developing citizen loyalty to e-government services. Trust in government has the strongest direct effect on citizen loyalty to e-government services, and service quality has the strongest total effect on citizen loyalty. In contrast, citizen satisfaction has the least significant influence on citizen loyalty to e-government services.

This study proposes a new model for citizen loyalty to e-government services that combines the service quality model and trust theory. In addition, this study is among the first to categorise trust into three factors – trust in government, trust in e-government and disposition to trust – and integrate them into a model. Furthermore, the study reveals the roles of satisfaction and service quality in developing citizen loyalty. The findings of this study fill a gap in knowledge on citizen trust in, satisfaction with and loyalty to e-government services.

This paper aims to investigate the impact of the perceived performance of the government on subjective well-being based on the individual-level survey data of Kazakhstan. Having implemented substantial economic and public administration reforms over nearly three decades since independence in 1991 Kazakhstan presents an interesting case to explore how people perceive the outcomes of the reforms.

This paper estimates the relationship between life satisfaction and its determinants with the ordered logit model making use of the ranking information in the response variable.

This paper establishes that satisfaction with public service delivery, living conditions and personal and economic factors that are subject to public policy, along with trust in government institutions contribute to life satisfaction. The more satisfied individuals are with the quality, affordability and accessibility of public services, the more satisfied they are with their lives as a whole. A higher level of trust in government institutions increases individual well-being.

There is still a lack of research on subjective well-being in the less developed world. This study will help reveal important determinants of subjective well-being in the context of a developing country. Also, this study is valuable in terms of examining the impact of citizen satisfaction with public service delivery on subjective wellbeing based on rich individual-level data of the national quality of life (QoL) survey.

The main purpose of this study is to evaluate the performance of local governments in Pakistan through citizen’s satisfaction with local public service delivery in the context of the 2001 devolution plan.

Multiple-choice models are used to identify various determinants of citizen satisfaction from local governments. Demographic and socio-economic characteristics of the citizens such as age, gender, profession, education level, social status, geographical location and devolution policy (absence or presence of local government) are possible determinants of the model. While, the dependent variable is a satisfaction index constructed through exploratory factor analysis, using information obtained through a questionnaire.

The devolution policy variable is found to be statistically significant, indicating that people’s satisfaction level declined significantly when the devolution plan was rolled back. The impact of demographic and socio-economic variables on citizen satisfaction with local government is also found to be statistically significant in a majority of cases. Results indicate that people living in urban city districts are comparatively more satisfied than inhabitants of rural areas. Heterogeneity in satisfaction is found across different provinces, suggesting the need for institutional and political reforms. Moreover, people from a lower social status are more satisfied, indicating that the devolution process is in the right direction as far as reduction of income disparities is concerned.

The results suggest that there should be more provincial autonomy and national cohesion that will result in better understanding of the needs of federating units keeping the regional affiliation aside. Financial autonomy will give more resources, generate confidence and make the federating unit accountable. A decentralized set up will reduce the dependence of provinces on the center, which will allow the center to concentrate more on the national issues. However, the problem is how to materialize this and execute an efficient decentralization process in Pakistan.

This research is based on primary data collected by UNDP to conduct a social audit of local governments in Pakistan. No other research has been conducted in Pakistan to evaluate the performance of local governments using citizen satisfaction.

The purpose of this paper is to examine the influence of transformational and transactional leadership behaviours on local government worker’s job satisfaction as well as to determine which one of these two leadership behaviours is a better predictor of job satisfaction among local government servants in Ghana.

The research used a questionnaire to collect 322 usable data from the respondents, and employed multiple regressions to analyse the data.

The results showed that both transformational leadership and transactional leadership behaviours have significant positive effects on employee job satisfaction in Ghana’s Local Government service. Surprisingly, critical examination of the results further revealed that transactional leadership behaviour is a better predictor of job satisfaction relative to transformational leadership behaviour in Ghana’s Local Government Service. Moreover, the findings suggested that the influence of both leadership behaviours on job satisfaction may vary by workers’ age, level of education and gender.

These results imply that the more transactional and transformational leadership behaviours are exhibited or demonstrated by leaders, the more satisfaction local government servants will experience with their jobs. It further means that depending on the context or work environment, transactional leadership can surpass transformational leadership in enhancing employee outcomes. It also reinforces the need to ensure equity in employee reward systems as well as treatment of different age, educational and gender groups.

This result has contributed to knowledge by providing empirical evidence to refute the popular claim that transformation leadership produces better outcomes than transactional leadership. Besides, this study highlights the important roles of transformational and transactional styles in ensuring job satisfaction among the local government sub-sector, a generally under-researched sector.

Prior research addresses relationships between audit attributes and perceptions of both audit quality and auditee satisfaction in the private sector. This study extends such research to local government audits, where audit quality has been questioned. Additionally, this study investigates the effect of auditor size on perceived audit quality and satisfaction. 302 finance directors surveyed positively associated auditor expertise, responsiveness to client, professionalism, understanding of client systems, and study of internal controls with perceived audit quality. Furthermore, auditee satisfaction was positively related to auditor expertise, responsiveness to client, audit manager involvement, understanding of client systems and study of internal controls. Big 5 firms were not associated with higher levels of perceived audit quality or auditee satisfaction, despite charging significantly higher audit fees.