Measuring user acceptance is one of the most known approaches that have been used to discover the suitability of the provided system or application. In the field of user behavior, there are two models that have been used popularly namely: Technology Acceptance Model (TAM) [9] and the Unified Theory of Acceptance and Use of Technology (UTAUT) [10].

Different researchers consider different factors to measure users' acceptance. For example, in terms of e-banking, some researchers claimed that perceived ease of use, perceived usefulness, privacy and security are the most significant variables that might influence users’ adoption of the new services [11]. Meanwhile, Lee et al. (2002) argue that self-efficacy and social influence factors significantly influence perceived ease of use and perceived usefulness of using mobile Internet [12]. Consequently, there are several variables that appear in different theories and models which are highly similar to the factors used in the technology acceptance model [13]. In the next section, we are going to describe the factors used in this study to examine the citizens' acceptance of mobile government. In the following subsections, we are going to discuss the model factors and hypotheses which have been adopted by previous researches and the main approaches in the field of user acceptance.

Social Influence (SI)

The Theory of Reasoned Action (TRA) and the Theory of Planned Behavior (TPB) indicate that social influence (SI) is an important factor that determines technology usage and acceptance. SI seems to be more significant in the earlier phases rather than the later phases, to motivate the social and to study the culture needs before providing new technologies; will increase the usage and the acceptance of such technologies [14]. Consequently, the following hypotheses are proposed:

H1a

Social influence will have a positive effect on behavioral intention to use mobile government services.

H1b

Social influence will have a positive effect on usage behavior of mobile government services.

Cost of Service (CS)

To ensure the user acceptance of the price of service provided by mobile government compared to normal office services; the user benefits should be promoted and clarified, specifically when we propose new services to the market. Also, its value must be in reasonable prices in order to allow users to use such new services [15]. The cost of service might affect user’s access to the government services and information either positively or negatively. Also, the cost of services must reflect the value of the specific services.

H2

Cost of services will have a negative effect on behavioural intention to use mobile government services.

Perceived Trust in Technology (PTT)

PTT plays a vital role in reducing perceived risks of using new technologies, especially for transactions involving uncertainty. Since the adoption of mobile government is still in the early stage in some countries, the users are not clear about the technical capability of their service provider to provide m-service and about the security and reliability of the provided services [16]. Citizens' adoption behavior, preferences and requirements might be affected by cross-cultural characteristics. The mobile government adoption behavior should be analyzed focusing on cultural differences [17].

H3

Perceived trust in technology will have a positive effect on behavioral intention to use mobile government services.

Perceived Usefulness (PU)

PU focused on the importance of the provided information. Its concerns are on how meaningful, informative, relevant, important, significant and helpful is the information or services for user’s decision [18,19]. It is more about the benefit that user can earn from using specific service or application. Hence, the following hypothesis is proposed:

H4

Perceived usefulness will have a positive effect on behavioral intention to use mobile government services.