Governments the world over have incorporated the use of information and communication technologies (ICTs) into governmental processes, leading to the birth and popularization of the concept of e-governance. E-Governance has been defined, among many other ways, as a technology-mediated service that facilitates a transformation in the relationship between a government and its citizens; a technology-mediated relationship between citizens and their governments, from the perspective of potential electronic deliberation over civic communication, over policy evolution and in democratic expressions of the citizen will [6] . E-Governance also makes administrative processes transparent, efficient and convenient. The widespread use of ICTs offers governments and citizens the ability to address traditional development and governance issues in a new and innovative fashion. From the governmental perspective, ICTs are a catalytic tool in the provision of services to marginalized populations, thus contributing to the attainment of the Millennium Development Goals (MDGs) and enhancement of transparency and accountability. Meanwhile, citizens and stakeholders can benefit by having access to new communication channels and “louder” voices in public decision- and policy-making processes.

ICTs have advanced considerably, including in Africa, and broken through to social and political life. In the face of numerous advantages they offer, such as speed, cost reduction and wider reach, these technologies are now crucial to the public and private sectors, and civil society organizations (CSOs) in their internal communication, communication with citizens and provision of services and goods to the public. Therefore, ICTs can enhance citizen participation and interaction between citizens and elected officials, and among citizens (e-participation).

M-governance can be considered a subset that facilitates e-governance or as a form of governance on its own [7] . Mobile governance is the use of mobile technologies (such as SMS, USSD) in the domains of citizen participation, provision of public services, information and public awareness to reach wider population segments as compared to those currently accessing the Internet [8] .

Mobile technology has been the main drive in expanding Governments ability in offering and delivering citizens and business services as observed in developing countries. This is so due to the fact that for a long time, there have been limitations and to some extent non availability of communication which constrains social improvements and also economic development. As a result, countries that have developed e-governance services have an opportunity to tackle related digital divide concerns and suffice to say that these developments are powerful and transformational capacities in accessing e-governance services increase active citizen participation in Government operations and hence help in transitioning beyond the concentration of e-governance on commerce and e-taxation to improving internal operations. This amalgamation of mobile devices and new media applications which support quick access to integrated data, location based services, and hence empowered citizens from any place at any time is therefore the cornerstone of the emerging impact of mobile governance [9] . Mobile governance has the potential of delivering real-time location-based information on demand, performing transactions, and most importantly use extant mobile network to reach citizens and provide new customized services [10] .

Since 2002, the National Assembly of Zambia has been implementing a reform programme called “Taking Parliament Closer to the People”. The reforms entail a paradigm shift in the way the National Assembly communicates with its stakeholders, such as Members of Parliament, the cooperating partners and constituents, in the 156 constituencies of the country, almost half of which are geographically remote.

Data collection is an important activity for remote constituencies, as Members of Parliament (MP’s) and other policy makers need accurate and “fresh” data to improve the quality of services they provide in those constituencies. Further, data is critical to determining service coverage and shortcomings. Therefore, it helps in the proper allocation of resources. In resource-limited settings like in the developing world, evidence-based decision-making is important to the prudent use of the available resources.

Technology is a concept that is difficult to interpret, observe and evaluate as noted in [11] . Despite the extensive research conducted on the subject, the available literature is fragmented according to the specialties. Generally, there is no commonly accepted paradigm [12] . However, the use of wireless electronic communication over 100 years ago was the starting point of the electronic era. The advances in technology have brought many changes to people’s lifestyles and pervaded every aspect of human life, be it in entertainment, education, the economy, governance or health [13] . Technology has also improved business processes and increased productivity, leading to a scramble for the best technologies among organisations and nations. Technology is also considered a vehicle for disseminating knowledge and services [10] [14] .

Technology acceptance is the process of people accepting and adopting a technology for use [15] . [16] describes user technology acceptance as a demonstrable willingness within a user group to employ IT for the tasks it is designed to support. Acceptance can, therefore, be seen as being more of a user attribute in the use of technology, and as a critical factor in determining the success or failure of any technology. Further, acceptance is conceptualised as an outcome variable in a psychological process that users go through in making decisions about technology [16] . In other words, technology is of little value if it is not accepted and used [17] . The rejection or acceptance of technology has been a prominent topic in the field of information system (IS), marketing and social science Services [10] [18] .

A model is a systematic description of a system, a theory or a phenomenon that accounts for the known or inferred properties of what is described, which may be used to further study the characteristics. It is also any abstract representation of a portion of the real world constructed for the purpose of understanding, explaining, predicting or controlling the phenomenon being investigated [19] . Many technology acceptance models and theories have been developed over the years. They include the following:

Statista [23] explores the general idea that Mobile Application Development (MAD) is the process by which applications (Apps) are developed for small, low-power hand-held devices. Though the model is similar to software engineering, it also presents additional requirements for which the traditional software development process has to be customised. Mobile computing allows the user to access, create, process, store and communicate information from multiple locations. There are features which differentiate a mobile version from a

conventional desktop app and are grouped into three categories, namely software, hardware, and communication [24] .

Mobile apps were first popularised by Apple with the introduction of its App Store. The Apple App Store was followed by Google’s Play Store in 2008, which sells Apps and acts as a storefront for developers to distribute their software to consumers. Today, Apple and Google both feature about 1.3 million apps [25] .

The demand for mobile apps has increased due to the advancement of mobile computing and communication technology, thus different hardware manufacturers of mobile phones and tablets have therefore spurred developers to make different versions of each application for each type of device [16] .

For successful mobile applications, functionality, reliability, flexibility, accessibility, portability, efficiency, maintainability, usability and responsiveness, are important characteristics to be observed iterated in line with the user’s requirements and the quality characteristics specified in ISO 9126 [26] .

The Mobile sites differ with the traditional desktop website including critical functions and features differs various ways which include; vertical instead of horizontal navigation; bars, tabs and hypertext; text and graphics; contextual and global navigation; footers; breadcrumbs; progress indicator and also localised and personal search [27] .

The hardware, software, operating system and environment decide which communication medium is suitable for a particular mobile app. Advances in mobile apps, varied market and technological developments have dramatically benefited mobile developers by creating many new development opportunities and generating considerable revenues, with a growing number of mobile app portals [27] .

Holler [28] describes software development life cycle as the process of structuring and building a mobile app follows the Software Development Life Cycle (SDLC), a process used in the software industry to assure design and development of excellent quality software.

The SDLC has five phases that include the following:

· Planning, defining and analysing the user requirements

· Designing the product

· Developing the product by the created design

· Testing the product

· Maintain the product.

Data was collected using 53 survey self-administered questionnaires. A total of 60 questionnaires were distributed. A total number of 53 questionnaires were valid whilst 7 were invalid. The sample size from the 165 constituency offices was determined using the formula:

n = N/1 + N(e²)

where n is the sample size, N is the population and e is the confidence level. Base on the 95% confidence level, it gave out a sample size of 60.

To further understand how communication between the Members of Parliament and their electorates occurred, a mapping and modeling of business processes was done.

A member of a constituency wishing to present problems to the Member of Parliament approaches the Constituency Office and records the problem details, including;

· Date of Visit.

· Visitor’s full name.

· Visitor’s National Registration Number.

· Visitor’s Phone Number.

· Problem description.

There are currently several ways by which a Member of Parliament gets in touch with the electorates. These are:

· Organising an Open Day, during which all electorates are invited to discuss issues affecting them in a face-to-face meeting with the Member as shown in Figure 4;

· Visiting the Constituency Office and reading the comments in the Visitors’ Book as shown in Figure 5;

· Touring the constituency door-to-door to get views from the electorates and engaging district officials from different committees shown in Figure 6;

· Directly calling the Constituency Office to enquire get the issues recorded in the Visitors’ Book as shown in Figure 7.

In analysing the business processes depicted above, some of the challenges a Member of Parliament would encounter are:

· People who would attend an open day would expect to be fed and given gifts, of which the office cannot afford.

· When the Member of Parliament visits the constituency on a fact finding mission, people expect him/her to show some form of gratitude to them by giving them money or other forms of gifts.

· In very remote constituencies, transportation costs are high on the part of the Member of Parliament (i.e. wear and tear of the motor vehicle).

· It is difficult to get statistics in a structured/ organised manner through a telephone conversation.

· Few people visit the Constituency Office to record their problems in the Visitors’ Book and

· Sometimes, the electorates are afraid of raising very sensitive information at the Constituency Office.

In the proposed model, firstly, Constituency Office staff and members of the constituency will have to install the app on their mobile devices. Thereafter, they will need to register on the system for them to be able to upload information, as shown in Figure 8. The information required from the user will include the date, first name, last name, National Registration Number (NRC) Number, name of constituency, phone number and problem description. After a user is registered and authenticated to a database, he/she will be presented with a menu on reporting and uploading the information to the cloud. For every report sent to the cloud, the system will generate a reference number that will be used to keep track of the entry. Additionally, as shown in Figure 9, there is a sequence of steps that involves the Member of Parliament. The application has to be installed on the Member of Parliament’s mobile device. The system will, then, provide the Member of Parliament an interface to access the system and perform some data analytics. When the Member of Parliament logs into the system, he/she will have access to a list of the different types of reports and be able to upload responses to the cloud and directly to a registered user.

The agile practices are considered to be appropriate for the development of

software for fast-paced markets, where satisfaction of user is achieved by the frequent release of software, user requirements can change spontaneously in the project and the delivery cycle is short (e.g. every couple of weeks). The agile principles and practices are also considered the most suitable for mobile app development because most mobile projects are short-term and require flexibility, as they usually have frequent change requests.

Research in the area suggests the necessity for software development processes to be tailored and modified to suit the requirements of mobile softwares. Agile methods have shown an ability to consistently adhere to the mobile software development process, offer a variety of solutions for mobile apps and assist service developers in need of high quality development processes [7] [45] . The mobile telecommunications industry consists of extremely complex, competitive and uncertain environments. Agile software development techniques seem to be a natural fit for mobile app development [46] .

Agile techniques are suitable for the development of mobile apps because of their small teams, short deadlines, importance of usability, fast delivery and less complexity. The authors have suggested that seven months is enough time for agile methods to deliver a mobile app, including the experimentation and adaptive stages of the app; reliability leads to continued use of apps; extension of agile sprints into mobile app model and responsiveness to technological changes; rapidly accommodating customer feedback; a more thoughtful user experience; and phased rollout of feature sets [47] .

Agile software development offers tremendous opportunities and value to mobile app development teams working to introduce a lightweight development process or scaled-back bureaucratic processes. The authors have emphasized the progress in mobile computer technology and rapid escalation of wireless networks in quality and quantity, which has brought in new apps and concerns. They also underline the promptness with which the industry needs to adopt systems development techniques that fulfill the special needs of this field [46] .

The technology has been judged as being a “management fad” by numerous observers and that its claims of business improvement is measured on metrics defined by itself (e.g. velocity) [48] . The technology has also been criticized for its ineffectiveness when used in large organizations and certain types of projects, and proposed as an area that needs further research. Clearly, the technology has its limitations in distributed development efforts, offshore development and mission-critical systems where failure is not an option (e.g. software for air traffic control) [28] .

A survey shows a clear link between agile methods and their use in a real-world setting, leading to a decline in the idea that agile practices are a silver bullet [32] [49] .

Figure 10 shows the architecture of the proposed system.

A questionnaire was administered to 60 respondents from different constituencies. 53 questionnaires were valid representing (88.3%) response rate, whilst 7 questionnaires were invalid representing 11.66%. The respondents consisted of 57% males and 43% females, as shown in Table 1. Three age groups were sampled, with the following representations:

1) 20 - 30 years (21%);

2) 30 - 40 years (51%); and

3) 40 - 50 years (28%).

as shown in Table 2.

Figure 11 is an adaptation of the TAM. It shows how perceived usefulness, perceived ease of use and perceived risk of acceptance or adoption of the proposed mobile application.

The TAM has five variables. However, in this research, a modified model with

only three variables was adopted in [50] with only three variables, namely perceived usefulness, perceived ease of use and perceived acceptance risk.

The recommendation in this research was based on the output of the instrument of data collection, which was a questionnaire. Therefore, the reliability test was measured in Chronbach Alpha using the Statistical Package for the Social Sciences (SPSS). The statistical software analysed the internal consistency and reliability of the questionnaire. The questionnaire was designed with a Likert scale of 3 scales (i.e. 1 = “None of the above”, 2 = “No”, and 3 = “Yes”). The data analysis techniques used in this research are descriptive and statistical analysis, as indicated in the tables below. From Table 3, it can be seen that reliability has an index of 0.896. Therefore, since the Cronbach Alpha of all the three variables is more than 0.6, the instrument was reliable.

Two of the variables used in the research, perceived usefulness and perceived ease of use, which influence the acceptance/adoption of the mobile app, are influenced by external variables that include socio-cultural and political factors. Below is the statistical analysis using the TAM. Table 4 shows that 67.9% of the

participants in the survey indicated that the app would be useful, 22.6% of the respondents felt the app would not be useful while 9.4% did not express an opinion. Table 5 shows that 67.9% of respondents thought that the app would be easy to use, 18.9% thought it would be difficult to use while 13.2% did not express an opinion on the variable. Table 6 shows that 66% of respondents would adopt the app, 24.5% would reject it while 9.4% did not take a position.

Correlation is a technique used to investigate relationships among a set of variables. The Pearson’s correlation coefficient (r) measures the strength of the association between variables. In this research, the variables considered for the Pearson’s correlation coefficient were perceived usefulness and perceived ease of use. Table 7 shows that the results of the analysis of the variables using the Pearson correlation shows a strong positive correlation between them (r = 0.965, n = 53, p < 0.001). Table 8 summarizes the regression and confirms the correlation value depicted in Table 7.

Statistical significance is the likelihood that the difference in conversion rates between a given variation and the baseline is not due to random chance. It is the probability of finding a given deviation from the null hypothesis, and is often referred to as the P-value or P, with a small p-value (p < 0.05) meaning that the research data is unlikely under the null hypothesis. This means there is strong evidence against the null hypothesis and, therefore, nullifies the hypothesis. On the other hand, a large P-value (>0.05) indicates weak evidence against the null hypothesis, thereby nullifying the null hypothesis. P-values very close to the cut off mark of 0.05 are considered marginal, meaning the result can fall on either side of the correlation divide. P-values must be reported in order to allow readers draw their own conclusions

Therefore, the hypothesis for this research is that if a mobile application for interaction is developed, there will be easy access to information between Members

**Correlation is significant at the 0.01 level (2-tailed).

of Parliament and the electorates. Therefore, the null hypothesis is that the electorates will not adopt a mobile app developed to enhance their communication with their Members of Parliament (perceived usefulness) whilst the alternative hypothesis in our case is the opposite in that the development of the mobile application will enhance communication between members of parliament and electorates. Table 9 shows a p-value of p < 0.001, which indicates significant statistical evidence against the null hypothesis. So, the null hypothesis is rejected and the alternative hypothesis adopted, which is that the electorates will adopt the app when developed.