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In view of different theoretical approaches to e-government<br />

demand-side evaluation, a suitable and locally acceptable<br />

evaluation method was to be identified and to be used in this<br />

research for measuring the success of the e-government project<br />

implementation from the users’ point of view. The several egovernment<br />

surveys methods, which are generally used for data<br />

collection for the purpose of reviewing the existing performance<br />

of the e-government implementation, range from direct interviews<br />

with citizens or government officials [15], [16], focus groups [15],<br />

visits to government websites [17] to questionnaire surveys to<br />

citizens [18]. In order to include a large number of respondents<br />

from a broad territory, for practical reasons this survey has<br />

utilized the questionnaire survey method.<br />

An empirical study has been conducted for measuring the success<br />

of the e-Government project implementation. The research<br />

utilized a structured questionnaire used by Hoffmann [13] which<br />

was adjusted to adapt to local conditions. The questionnaire used<br />

for the collection of data included 23 questions classified to<br />

measure the citizens perception of the priority and performance of<br />

selected factors, important for the success of the overall egovernment<br />

information system. Apart from these, the<br />

questionnaire contained additional 20 questions typical to<br />

demographics, internet usage habits, their awareness on the<br />

availability and their expectations for e-government services.<br />

Some questions additionally referred to their opinion regarding<br />

the future development of e-government services. The questions<br />

on the success factors required the responder to assess the priority<br />

of every factor on a scale from 1 (not important) to 4 (most<br />

important) as well as the current performance of the same factor<br />

from 1 (not implemented in practice) to 4 (fully implemented in<br />

practice). (Questionnaire can be provided on request).<br />

The probability method used for the selection of the survey<br />

sample was based on random sampling. A total of 350<br />

questionnaires were used by targeting various citizens and in<br />

order to reflect the entire adult Kosovo population and to ensure a<br />

representative sample in terms of demographic and sociological<br />

structure, the questionnaires were distributed to random citizens<br />

through University students, employers of various private and<br />

public companies and institutions, unemployed and elderly people<br />

throughout 9 different Kosovo municipalities. For practical<br />

reasons the data collection was conducted in only 9 out of 37<br />

Kosovo municipalities. In order to have a adequate statistical<br />

representation of collected data, Prishtina, as the capital city,<br />

together with all six secondary municipalities, where the majority<br />

of the Kosovo population resides, were included in this sample.<br />

Additionally two smaller minority municipalities were also<br />

included of this survey in order to obtain a representative sample<br />

from various municipalities. Out of this number a total of 300<br />

questionnaires were validated and were selected for this empirical<br />

study, representing a sample size with a standard confidence level<br />

of 95% and confidence interval of 5.5%. The data collected<br />

through this survey was digitalized, coded and analyzed using<br />

statistical analysis software for descriptive statistics and<br />

relationships.<br />

The purpose of analyzing success factors is to evaluate the<br />

contribution of specific factors to the overall success of an<br />

information system and with this to determine the specific<br />

strengths and weaknesses in the implementation of information<br />

systems. The direct output is a set of required measures for<br />

326<br />

improvement of the overall success. The results of the study will<br />

be illustrated using available tools for graphical analysis.<br />

The profile diagrams and the portfolio matrix are used for the<br />

graphical evaluation of success factors. The priority and the<br />

perceived implementation of success factors are presented in the<br />

same diagram while their values are marked with corresponding<br />

points on a scale from one to four.<br />

The graphical portfolio matrix is used for the data analysis. This<br />

graphical tool is based on a two dimensional diagram,<br />

which illustrates the research results in a simple and<br />

understandable manner [13]. The portfolio matrix axes show the<br />

features explored, in which the priority/expectation is shown on<br />

the X-axis and the performance/implementation is shown on the<br />

Y-axis. In order to allow a simple evaluation of the results, the<br />

matrix is divided into nine clusters. All factors that are listed in<br />

the portfolio matrix by combining their characteristics fall<br />

into one of these matrix clusters. The clusters are used for<br />

gathering factors with similar characteristics in respective groups,<br />

for which pre-standard recommendations for action will be<br />

defined.<br />

This method is used for analyzing the success of implemented egovernment<br />

projects and to draw specific recommendations<br />

for further action in relation to improvement of the overall success<br />

of specific factors.<br />

4. RESULTS AND DISCUSSION<br />

The target survey population of this study comprised a<br />

representative sample of people residing in various Kosovo<br />

municipalities during 2011. The study population was comprised<br />

of 300 adult persons of various age groups. The Figure 1 outlines<br />

the age groups of the study population by gender: a total of<br />

38.3% of all male and female respondents were under age 25,<br />

31.7% were within the age group interval from 26 through 35,<br />

18% were between 36 through 45, 8.3% between 46 through 55<br />

and 3.7% above 55. In absence of final data from the 2011 census<br />

in Kosovo, for comparison purposes the Figure 2 shows the<br />

estimated population of Kosovo by age groups as assessed<br />

through the results of the 2009 labor force survey conducted by<br />

the Statistical Office of Kosovo.<br />

From the gender perspective, Figure 3 shows that 58.7% of total<br />

respondents were Males and 41.3% were Females and the gender<br />

differences were significant (χ2= 9.01, P=0.03, thus P

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