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The purpose of this paper is to identify service quality dimensions and their sub-dimensions for mobile government services. Despite studies conducted on mobile services, there is lack of a comprehensive framework of mobile government service quality. Researchers and practitioners must outline a taxonomy of mobile government service quality before they can begin to test their effects empirically. It cannot be assumed that e-government is the same as m-government. Therefore, it is important to understand the dimensions that affect mobile government service quality.

Mobile government service quality dimensions were extracted from the literature on m-government from its development and transition from e-government to service models being used. This helps understand what service quality dimensions are necessary when creating more efficient, reliable, and responsible forms of m-government. The dimensions are demonstrated within a holistic framework of m-government service quality, presented for both academic and practitioner appreciation.

This paper identifies 20 mobile government service quality sub-dimensions classified within six dimensions.

The literature on mobile government service quality is scarce. With the expectation of mobile subscriptions worldwide reaching 8 billion by 2016, it is the most lucrative time to be researching how the design of mobile government affects service quality. This paper is the first to provide information on m-government service quality dimensions available for assessment.

This paper aims to explore the determinants of citizens’ future use of mobile applications provided by government. Research on citizen-initiated contacts with government has focused on both non-technology and technology related contacts. Existing research, however, has not examined the impact of mobile applications or “apps” on citizen-initiated contacts with government. Furthermore, existing research has not examined satisfaction with mobile government and whether this impacts future use.

The authors examine future use of mobile apps through an empirical analysis of a public opinion survey of citizen users in four of the largest cities in China (Beijing, Shanghai, Guangzhou and Shenzhen).

Using ordered logistic regression analysis, this study found that the strongest predictors of future use were demand and satisfaction with mobile apps. However, there was no wide-scale evidence of socioeconomic status and age impacting mobile apps future use.

The findings in this study contribute to both theory and practice of the determinants of mobile government adoption.

The results challenge the citizen-initiated contact theory, as socioeconomic status was not a major predictor of mobile apps future use in China. The results further indicate that satisfaction was a good predictor of mobile apps future use.

This paper aims to debate the main factors influencing trust in mobile government (m-government) in the developing country of Jordan. The transformation from government services offered through a government website to services offered via smartphone devices needs further investigation to better understand the factors that might influence citizens’ trust in m-government, in particular, young citizens. This paper presents the concept of m-government and reports on a study of the main predictors affecting citizens’ trust in it. The theoretical framework used is based on the unified theory of acceptance and use of technology (UTAUT).

A survey study of 510 Jordanian young citizens, who had access to the internet and were smartphone users, investigated the influence of the identified factors on their trust in m-government. The hypotheses testing used multiple regression analysis.

Contrary to previous claims reported in relation to facilitating conditions, the following predictors: trust in government, word of mouth (WOM), social influence and facilitating conditions were found to be significant factors in predicting Jordanian citizens’ trust in m-government services.

This is one of few studies to investigate what influences trust in m-government by citizens in Jordan. The current research significantly contributes to the literature by incorporating factors from the UTAUT model with personal perception factors to elucidate m-government adoption. The integration of UTAUT with factors such as “WOM”, is a direction that can be followed in research on the adoption of and trust in e-government and m-government by citizens in any social community. This study clearly identities the relationship between m-government trust and the WOM construct, which is rarely discussed in this type of research context. Although the facilitating conditions construct is claimed to be non-significant in the presence of performance expectancy and effort expectancy, the current research shows the importance of including the facilitating conditions construct when considering the topic of m-government trust in Jordan. Finally, this paper provides a foundation for future empirical studies on the adoption of m-government.

This paper aims to investigate the role of “perceived risks” in adopting mobile government (m-government) services in India.

Conceding that “privacy risks” are one of the major factors that influence the adoption of e-services, the impact of “perceived risks” alongside “social efficacy,” “influence” of significant others and “attitude” on the adoption of m-government services in India has been underlined here. Specifically, the study has been conducted with 311 actual m-government users and constructs have been derived from existing theories like Technology Acceptance Model (TAM), Unified Theory of Acceptance and Use of Technology (UTAUT) and Theory of Planned Behavior (TPB). Multiple regression analysis has been conducted to analyze the data focused on constructs as: Perceived Risks (PR), Influence (I), Self-efficacy (SE), Attitude (ATT) and Behavioral Intention to Adopt m-government services (BI).

Results show that while the respondents perceive that adoption of m-government services is risk-free and safe, there is no impact of the interpersonal relationships on m-government adoption. There is more inclination to adopt m-government services conceding that the respondents perceive that they have the self-efficacy to operate such services. M-government services are being tapped regularly by the respondents and there is more inclination to adopt m-government services among the public sector employees and self-employed respondents in comparison with the ones who are students or unemployed. In terms of age, those in the age group of 31–50 are more inclined to adopt m-government services in comparison with the rest.

Exploration of “perceived risks” and other factors has been less in the context of m-government studies. The present study fills the gap in two ways: first, it undertakes the investigation in a developing country conceding that empirical studies on m-government adoption are few in Indian context, and second, it throws light on the role of “adoption” of m-government services in contrast with the “use” of e-government services.

The purpose of this paper is to derive mobile-government (m-government) service-quality factors in the Gulf Cooperation Council (GCC) and develop an integrated strategic plan for improving the quality of m-government services from a customer perspective in the GCC.

A quantitative approach was used in this case study of m-government services in the GCC. Data were collected using focus groups and questionnaires for three similar m-government applications (one from the United Arab Emirates, one from the Saudi Arabia and one from Oman). The house of quality tool, including technical benchmarking, was applied as part of the quality function deployment (QFD) approach to identify customer requirements, translate them to technical requirements and develop a strategic plan for improving the quality of m-government services.

The results revealed that “real time” had the highest priority for deployment, while “tangible service,” contrary to expectations, had the lowest priority for deployment.

Study findings are limited to the m-government services delivered to citizens. There is scope for further study into m-government services delivered both to businesses and other governments.

The findings imply that the m-government decision makers must involve citizens in all service-development processes to ensure that service delivery meets citizens’ expectations.

Most previous studies regarding m-government service-quality dimensions have used information system service-quality dimensions. This study is one of the pioneering studies to have successfully derived m-government service-quality factors using the QFD matrix.

The purpose of the study is to provide a concrete, integrated plan to improve the service quality of mobile government (m-government) services from the customer perspective in the Gulf Cooperation Council.

A quantitative approach was used to analyze a case study of the UAE Ministry of Interior (MOI) mobile application and a competitor: the MOI application of the Kingdom of Saudi Arabia. Data were collected using a focus group.

Results show that the technical requirement “real time” has the highest priority for deployment and “tangible service” has the lowest priority.

Findings are limited to m-government services. Further studies could explore other government services such as traditional face-to-face services.

Results imply that if government decision-makers or software developers aim to understand customer requirements and improve their mobile services accordingly, the quality-function-deployment (QFD) approach is much more effective than traditional approaches in which decisions regarding services are prioritized based on the decision-makers or software developers’ perspectives.

Many previous studies have applied QFD for developing products based on customer needs. This, however, is one of the few studies to successfully apply the QFD matrix to m-government services.

The identification of key criteria that influence citizens’ preferences for using m-government services, prioritization of these criteria and making them consistent with the development of m-government services can improve the relationship of the government with citizens and vice versa. The purpose of this study is to investigate and prioritize the criteria that influence the usage of m-government services in the United Arab Emirates (UAE), using the technology acceptance model (TAM) and diffusion of innovation (DOI) theory, along with external variables of perceived security and perceived privacy.

A quantitative approach has been applied using a questionnaire with a nine-point scale for collecting data. The analytic hierarchy process (AHP) approach has been deployed to structure and prioritize citizens’ preferences and select users of the Ministry of Interior (MOI) application.

The results of the data analysis showed that the first criteria, which refer to the intention to use m-government services, were ease of use and perceived security and were given the highest priority, and the criterion of observability was given the lowest priority.

This study integrates the DOI and TAM theories with other external variables such as perceived security and perceived privacy to develop a conceptual framework. AHP has been used to structure and prioritize the main criteria and sub-criteria of m-government services. The results can assist the m-government decision-makers and software developers in focusing on the criteria that should be considered for the development of m-government services.

The purpose of this paper is to investigate the factors which influence mobile government (m-government) services adoption in India.

Adoption behavior of m-government services by 311 respondents is probed by using a multiple set of constructs drawn from technology acceptance model (TAM), unified theory of acceptance and use of technology (UTAUT), theory of planned behavior (TPB) and hierarchical regression analysis. Specifically, eight hypotheses were tested around constructs like Perceived Usefulness (PU), Perceived Ease of Use (EOU), Compatibility (COM), Trust (T), Influence (I), Self-Efficacy (SE), Facilitating Conditions (FC), Attitude (ATT) and Behavioral Intention to Adopt m-government services (BI).

Results show that PU, EOU, T and ATT were found to have significant influence on the adoption of m-government services. Furthermore, demographic variables (age, marital status, occupation, educational qualification and frequency of using m-government services) were not found to be significant predictors for the adoption of m-government services in India.

While most of the technology adoption studies are focused on commercial activities, studies on internet interfaces vis-à-vis the public services are limited to investigation of e-government services. Besides, there are more studies contextualized in the developed countries as compared to developing countries. Academic research on m-government adoption is scant and the present paper is a significant contribution in the Indian context.

Despite the widespread use of mobile government (m-government) services in developed countries, the adoption and acceptance of m-government services among citizens in developing countries is relatively low. The purpose of this study is to explore the most critical determinants of acceptance and use of m-government services in a developing country context.

The unified theory of acceptance and use of technology (UTAUT) extended with perceived mobility and mobile communication services (MCS) was used as the theoretical framework. Data was collected from 216 m-government users across Bangladesh and analyzed in two stages. First, structural equation modeling (SEM) was used to identify significant determinants affecting users' acceptance of m-government services. In the second stage, a neural network model was used to validate SEM results and determine the relative importance of the determinants of acceptance of m-government services.

The results show that facilitating conditions and performance expectancy are the two important precedents of behavioral intention to use m-government services, and performance expectancy mediates the relationship between MCS, mobility and the intention to use m-government services.

Academically, this study extended and validated the underlying concept of UTAUT to capture the adoption behavior of individuals in a different cultural context. In particular, MCS might be the most critical antecedent towards mobile application studies. From a practical perspective, this study may provide valuable guidelines to government policymakers and system developers towards the development and effective implementation of m-government systems.

This study has contributed to the existing, but limited, literature on m-government service adoption in the context of a developing country. The predictive modeling approach is an innovative approach in the field of technology adoption.

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.