1. Introduction

Through e-Government, country leaders expect to foster administrative reforms by transforming government functions, streamlining procedures, and enhancing administrative transparency. This expectation helps to resolve two seemingly contradictory objectives for e-Government in the respective country. On the one hand, leaders in Saudi Arabia are striving to utilize the various services of e-Government to reform as an engine for developing the economic growth, and to further combine definite roles for the fundamental government that may relies on adopting certain strategies for managing and monitoring the development of e-Government as stated by[1]. Several researchers (such as[2-5]) argue that understanding what the leaders mean by “administrative reform” provides a key to resolving this seeming contradiction. They outlined some of the e-Government applications now being introduced 1) transforming government functions (This aspect --generally focus on transforming government functions and promoting government services that can be accessed through online services, which concerns on handling the main procedures and application lists on the Internet); 2) reengineering government process (This aspect focus on reengineering government processes by making the processes more transparent and the procedure of examination and approval more streamlined); and 3) enhancing government transparency has been a driving force behind many of e-Government applications at both the national and local levels (Such expectation may helps to figure out two seemingly contradictory objectives for e-Government)[1]. This reengineering of the public administration, in turn, is motivated by a desire to stimulate economic progress[6]. More specifically, IT applications in government are intended to concurrently aid economic development by supporting a more decentralized and transparent public administration and to provide the central government with tools to provide the information necessary to high level government monitoring and control.

The TAM was originally introduced and studied as a means of understanding how users adopt and use new technology by evaluating the factors that influenced the decision to accept a new technology[7]. TAM is based on the belief “that perceived ease of use and usefulness can predict attitudes toward technology”[8]. As for this study, acceptance to use e-Government services can be measured through perceiving the ease of use and usefulness of these services along with attitude as shown in Figure 1.

However, individual attitude to use a system has long been identified as a cause of intention that independently associates with the perceived ease of use and perceived usefulness. Furthermore, researchers such as[9] have classified the attitude into two constructs: attitude toward the object and attitude toward the behavior. The attitude towards the individual behavior is refers to the user evaluation of a specified behavior. This evaluation of a specified behavior leads to certain behavioral intention that further results in certain behavioral action. Adapting this general principle, attitude toward use in the TAM model is defined as the mediating affective response between usefulness and ease of use beliefs and intentions to use a target system. In other words, a prospective user’s overall attitude toward using a given system is an antecedent to intentions to adopt (Davis, 1989). In user participation research, it is also believed that, prior to system development; users are likely to have vaguely formed beliefs and attitudes concerning the system to be developed[10].

Figure 1. The adapted TAM to measure the user ease of use, usefulness, and attitude towards using e-Government

2. Related Research

Some scholars such as Lai and Pires in[11] have acknowledged the importance of measuring the individual believe to use actual system. They addressed the importance of e-Government on the potential to improve public administration efficiency by increasing convenience, performance and accessibility of government information and service to users. They highlighted the needs for reporting the e-Government potential to be grounded on in-depth understanding of target users’ needs, perceptions and other factors influencing its uptake. Their study was mainly aimed on the identification and examination of the influencing factors of the e-Government portal satisfaction and adoption by individual citizens in Macao.

They constructed their model based on the integration of four success factors such as; information quality, system quality, perceived effectiveness and social influence. These factors were found to have a significant impact on the user satisfaction with the e-Government website, influencing intention to reuse. They also found that user perceptions about the e-Government portal influence user attitude towards the portal. The evaluation process was conducted based on Internet survey collected data from 464 online users of Macao’s e-government portal. The result found that portal management needs to ensure ease-of-use, currency and accuracy of the supplied information. The content an e-government portal that is perceived by users to be easier to navigate is likely to facilitate satisfaction and reuse. Finally, the importance of social influence justifies, managerial actions aimed at improving e-Government portal acceptance by individual users and government employees.

Other researchers investigated the acceptance level of users to use e-Government services, example Alzahrani and Goodwin in[12]. They established their study based on the assumption extracted from different researches for the successful use of e- Government among citizens. Based on the Unified theory of acceptance and use of technology (UTAUT) model, they elaborated the man hypothetical framework that integrates the unique features of e-Government to improve the user acceptance and usage of e-Government in Saudi Arabia. The proposed model, based on UTAUT, includes the characteristics of e-Government, consideration and inclusion of trust, privacy, and Saudi culture and context.

3. Method

The quantitative method was used in this study to collect the data. The data were collected using an online survey. In addition, the evaluation method was established upon the use of a stratified cluster sampling frame based on the geographical direction in Saudi Arabia, including: north, south, west and east as a cluster. Among these clusters, we have assigned two e-Government services randomly. Therefore we selected 20 sectors among 70 ones in Jeddah city. 102 questionnaires were distributed between individuals who were working in these offices. The responses were collected and analyzed using SPSS.

3.1. Research Instruments

TAM is an information systems theory that models how users come to accept and use a technology. The model suggests that when users are presented with a new technology, a number of factors influence their decision about how and when they will use it, notably:

- Perceived usefulness (PU) - This was defined by Fred Davis as "the degree to which a person believes that using a particular system would enhance his or her job performance".

- Perceived ease-of-use (PEOU) - Davis defined this as "the degree to which a person believes that using a particular system would be free from effort" (Davis 1989).

- Attitude- Is the factor that cause of intention that independently associates with the use of actual system.

Table 1. Measurement of Variables Usefulness TAM by Davis in[13] Ease of Use Attitude By Hung et al. in[14]

4. Result

Table 2 presents the homogeneity of variances for levels of processing which differed by program for the 102 participants.

Table 2. Homogeneity of Variances for Acceptance and Attitude Levene Statistic df1 df2 Sig. Acceptance 1.066 2 99 .348 Attitude .057 2 99 .945

Table 3. Means, standard deviations and results of ANOVA tests for Ease of Use, Usefulness, and Attitude by age group N Mean Std. Deviation Results of ANOVA Ease of use Age group 25-30 49 18.9592 2.66 F (2,99) = .194p = .824 Age group 31-40 14 18.5000 2.53 Age group more than 40 39 18.6154 3.70 Total 102 18.7647 3.06 Usefulness Age group 25-30 49 18.5306 4.49 F (2,99) = .858p = .427 Age group 31-40 14 17.3571 4.60 Age group more than 40 39 17.4103 4.12 Total 102 17.9412 4.36 Attitude Age group 25-30 49 19.4503 4.34 F (2,99) = .954p = .443 Age group 31-40 14 18.3860 4.32 Age group more than 40 39 18.3302 4.56 Total 102 18.8314 4.78

The total mean for ease of use was 18.76 (3.75/5 by the Likert scale) with SD = 3.06 indicating that the participants found the e-Government to be easy, as shown in Table 3. An analysis by age group reveals the mean for the age group 25-30 was 18.95 with SD = 2.66, while the mean for the age group 31-40 was 18.50 with SD = 2.53, and the mean for age group more than 40 was 18.61 with SD = 3.70. Results of the ANOVA test showed that F (2,99) = .194 at p = .824. As p > .05, there is no significant difference between the respondents with respect to the ease of use by the age group.

The total mean for usefulness was 17.94 (3.588/5 by the Likert scale) with SD = 4.36 indicating that the participants found e-Government to be useful, as shown in Table 3. An analysis by group reveals the mean for e-Government usefulness for the age group 25-30 was 18.53 with SD = 4.49, while the mean for the age group 31-40 was 17.35 with SD = 4.60, and the mean for age group more than 40 was 4.12 with SD =.66. Results of the ANOVA test showed that F (2,99) = .858 at p = .427. Again, as p > .05, there is no significant difference between the respondents with respect to the usefulness by age group.

In addition, the total mean for attitude was 18.8314 (4.38/5 by the Likert scale) with SD = 4.78 indicating that the participants attitude towards e-Government was high, as shown in Table 3. An analysis by group reveals the mean for e-Government attitude for the age group 25-30 was 19.4503 with SD = 4.34, while the mean for the age group 31-40 was 18.3860 with SD = 4.32, and the mean for age group more than 40 was 18.3302 with SD =4.56. Results of the ANOVA test showed that F (2,99) = 954 at p = .443. Again, as p > .05, there is no significant difference between the respondents with respect to the attitude by age group. As p > 0.05 for all tests, the results indicate that there are no significant differences between the respondents with respect to ease of use, usefulness, and attitude by age group.

5. Conclusions

This paper aimed at investigating the user acceptance levels and attitudes to use the e-Government business services in different private sectors located in Saudi Arabia. The study used TAM to formulate the relationship between the ease of use, usefulness, and attitude. The data collection was based on the mean of online survey distributed among 102 users. The data analysis was carried by measuring the mean and ANOVA for the collected data. The result showed that there are no significant differences between the respondents with respect to ease of use, usefulness, and attitude by age group.