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Many governments recently started to change the ways
of providing their services by allowing their citizens to access services
from anywhere without the need of visiting the location of the service provider.
Mobile government (M-government) is
one of the techniques that
fulfill that goal.
It has been adopted by many governments. M-government can be defined
as an implementation of Electronic Government (E-Government) by using mobile
technology with the aim of improving service delivery to citizens, businesses
and all government agencies. There
have been several research projects developing models to understand the behavior
of individuals towards the adoption of m-government. This paper proposes a model for adoption of
m-government services in Saudi Arabia by extending Technology Acceptance
Model (TAM) by introducing external factors. This paper also reports on the
development of a survey instrument designed to measure user perception of
mobile government acceptance. A survey instrument has been developed by using
existing scales from prior instruments and a pilot study has been conducted
by distributing the survey to 33 participants. As a result, a survey
instrument has been refined to retain 43 items. The results also showed that
the reliabilities of all the scales in the survey instrument are above the
levels acceptable in current academic research, thus the instruments
developed by us are capable of analyzing the factors in M-government
adoption.
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ملخص المشاركة:
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M-government
can be defined as an implementation of Electronic Government (E-Government),
where mobile technology is used, with the aim of improving service delivery
to citizens, businesses and all government agencies. Although government has
emerged several years ago, these services are still in their early stage in
developing countries in general, and in Saudi Arabia in particular. As any
newly introduced concept into society, M-government is facing many
difficulties in developing countries and not always accepted. There are many
factors influencing the acceptance of M-government in developing countries,
for instance the education level, the cost and complexity of use of
technology, etc. Governments in developing countries, in general, and in
Saudi Arabia in particular, are paying more attention towards the adoption of
M-government services by its nationals. This could be done, for example, by
considering criteria that help making mobile services easily accepted by
citizens, for example by implementing services that are user friendly and
that are adequate to citizen needs. Our research question is: “What are the
factors which influence the adoption of M-government in Saudi Arabia?”
Answering this research question will enhance the knowledge in this field, by
developing a conceptual model for citizens’ adoption of M-government. The
developed model integrates constructs from the Technology Acceptance Model
(TAM), User’s Satisfaction, Perceived Service Quality, Perceived Mobility and
Trust. The developed model will provide more knowledge to the field of
m-Government, either on the theoretical or practical sides. Theoretically,
this study aims to determine the variables that are influencing the user
intention to use m-Government services. This is made by exploring the applicability
of TAM and other external variables derived from the related literature, such
as perceived trust, perceived Service Quality, perceived Mobility and user’s
satisfaction. Practically, our study will help decision makers in
M-government projects, in general, and mobile service providers, in
particular, to successfully implement M-government services. This is made by
providing a better understanding of the variables of the TAM and other
external variables. To answer our research question, mixed research methods
will be used (qualitative and quantitative methods). The relationships
between these constructs form the basis for the research hypotheses which
will be tested using a quantitative research approach. Specifically, a survey
will be used for gathering data from a sample of Saudi citizens and
statistical methods will be used for analysing the quantitative data
generated from the primary research. Also, the qualitative data will be used
to analyse and assist in explaining and refining the statistical results
obtained from the quantitative results, specifically by investigating the
participants’ views.
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ملخص المشاركة:
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Recently, the estimation of the sample size is very
important topic for the researchers, so it is an indispensable process for
obtaining good results. There are two way to determine the sample size which
are from literature review and from the pilot study. In this poster, we will
focus on power analysis to get suitable sample size for our research.
This power analysis is conducted to assess the
minimum sample size requirement. G-Power software application is used to
perform a priori power analysis for the study taking multiple regression
analysis for the validation of the measurement model. The required power was
set at 1- β = 0.80. Level of significance was kept at α = 0.05. Effect size
was kept at small range value of 0.02. For the measurement model each
proposed latent construct has four indicators and the number of predictors is
taken as 7. Using these settings, power curve was extracted. Figure 1 gives
the power curve for different values of power ranging from 0.5 to 0.95. Power
analysis clearly indicates that to achieve, power of 0.80, a total sample
size of n = 725 is needed for this study. Therefore using the literature and
thumb rule method and results of power analysis indicate that the total
sample size needed for the study is around n = 750. Therefore, 800
respondents are taken as the optimal sample size for the investigation.
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