Management Information Technology and Quality Service Delivery in
Government Institutions
STAVROS KALOGIANNIDIS
Department of Business Administration,
University of Western Macedonia,
ORCiD: https://orcid.org/0000-0002-2337-5775
GREECE
FOTIOS CHATZITHEODORIDIS
Department of Regional and Cross Border Development,
University of Western Macedonia,
Kozani,
GREECE
OLYMPIA PAPAEVANGELOU
Department of Business Administration,
University of Western Macedonia,
ORCiD: https://orcid.org/0000-0002-6155-9671
GREECE
ATHANASIA MAVROMMATI
Department of Business Administration of Food and Agricultural Enterprises,
University of Patra,
GREECE
Abstract: - The study was aimed at establishing the impact of management information technology on quality
service delivery in government institutions using Greece as a case study. Specifically, the study sought to examine
the relationship between IT infrastructure management, IT support systems, and Informational products and quality
service delivery respectively. A cross-sectional survey research design based on a sample size composed of
different government officials in Greece government institutions was conducted. Data was collected using survey
questionnaires and document review. Data was first presented, analyzed and results interpreted based on
descriptive statistics for categorical data and narratives for open ended questions. The study confirmed a significant
positive relationship between the different independent variables (IT infrastructure management, IT support
systems, and Informational products) and the dependent variable (Quality Service delivery) (p<0.001). The
ANOVA results indicated that respondents had varying opinions about informational products and relatively
similar information about quality service delivery in government institutions. The regression results showed that
the three study variables could only predict a 34.1% change in quality service delivery in the different government
institutions in Greece. Among the different predictors of service quality, control (Beta = .351, p < .01) was a better
predictor. The Study confirmed that there is the relationship between the different aspects of management
information technology and quality service delivery in government institutions. The study recommended that
government institutions should adopt new advanced tools of developing and managing information systems or
technologies so as to enhance service delivery in these institutions. The study also advised more research be
conducted to explore the different strategies that can be applied towards improving the robustness of management
information technologies in public institutions.
Key-Words: IT infrastructure management, IT support systems, and Informational products, Quality Service
delivery
Received: November 8, 2022. Revised: April 19, 2023. Accepted: May 9, 2023. Published: May 19, 2023.
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Stavros Kalogiannidis, Fotios Chatzitheodoridis,
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1 Introduction
1.1 Background to the Study
According to [1] government institutions play a very
important role concerning the general economic
development of the country despite the fact that they
face numerous problems or challenges associated with
the implementation of different initiatives across the
country. Most local authorities or institutions of the
government in most developing and developed
countries tend to rely on manual file based
information storage systems which normally
complicates the processes of disseminating
information. The general concept of management
information systems is commonly based on
strengthening the overall efficiency of information
flow across different government institutions [2]. This
is normally achieved through making ICT in different
government institutions more comprehensive, reliable
and available to the public. Most governments have
focused on making management information systems
and other ICT applications more accountable to the
citizens most especially by using them to meet the
different needs of the general public. Furthermore
most governments across the world with UAE
inclusive have to a greater extent acknowledged the
relevance of adopting different e-government systems
and consequently introducing reforms in the
management information systems of the different
public institutions [3].
E-government, which forms the basis of
management information systems, is commonly
defined as the general production and delivery of
different government services through utilization of
different ICT applications. E-government is also
associated with different processes of transforming or
modifying the relationships that exist between the
government and its different stakeholders that may
include; citizens, businesses and employees. In this
case, ICT applications are used to improve the levels
of transparency, accountability, effectiveness and
general efficiency in delivery of government services
to the general public [1].
E-governments that involve the use of different
management information technologies have helped in
enhancing the quality and effectiveness of
administration in most public institutions in different
countries across the world. The different emerging
technologies in the field of management and
information are offering various opportunities to
utilize in enhancing the operations of an e-government
most especially concerning the delivery services to the
general public through the different government or
public institutions [4].
In addition to influencing delivery of quality
services, E-government also plays a key role in the
reformation of the way different policies are
formulated and consequently implemented most
especially in terms of efficiency, general
accountability, transparency, and active participation
of citizens. The establishment of a highly pervasive
internet that is facilitated through several disruptive
technologies has brought about a new landscape
where both private and public sector organizations
ought to operate if they are to register quick success.
In the new landscape of information technology,
knowledge is recognized as the most relevant factor,
whereas learning, that emerges majorly through
cooperation, alongside increased reliability and trust,
is considered as the most important process. E-
government is also concerned as the use of ICT
systems to enhance government performance in most
critical areas. In this case, performance is normally
measured or assessed based on the ability to offer
effective and more efficient services, establishing new
channels for people to access government and official
information, and consequently making government
more accountable to its citizens [2].
[1] indicates that a few developed countries such
as Canada, Singapore, and Sweden have registered
success in using the different technologies associated
with the e-government, though most pother
government have not succeeded whereby benefits in
most countries has been achieved in a relatively
smaller part of the society [2]. Several studies confirm
the existence of several disparities concerning the use
of technology and that these may persist if no action is
taken at different national and international levels
which nay continuously affect the quality of services
delivered by government to the general public.
Service delivery in most government or public
institutions has net been effective for a long time and
this is attributed to different factors that cut across
corruption, absence of robust information systems to
enable quick service delivery, limited funding of
institutions, and incompetent personnel among others.
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Studies indicate that citizens have to wait for a long
time at various departments in order to receive
different services and this is associated with wastage
of time. [5] indicate that most of the public institutions
are associated with dismal performance in the
different facets of service quality such as reliability,
responsiveness, accessibility, and tangible assurance.
The report by the [6] revealed that management
information systems are essential in government
institutions most especially the areas of finance,
planning and execution or formulation of annual
government budgets. In this case, the different ICT
applications help in the provision of highly timely and
consequently accurate information to the decision
makers. There is increased pressure from the general
public concerning accountability of the different
resources that are meant for public use and the
government can only achieve transparency and
effective allocation of resources by utilizing more
innovative strategies that are much associated with
ICT. This therefore forms the basis of this study to
assess the impact of management information
technology on service delivery in government
institutions using Greece as the case study.
1.2 Problem Statement
Most governments across the world are undertaking
different reforms to improve the levels of
transparency and efficiency concerning delivery of
public services by the public sector. New
technological advancements or innovations are
continuously embraced by most developed countries
as a way of meeting the different needs of the general
public since most traditional ways of resource
allocation have appeared less effective on most
government institutions whereby they to uneven
distribution of resources and poor accountability for
the services delivered by the government [5]. There is
empirical evidence indicating that most organizations
are faced with different problems associated with
information management systems and these may
include little integration or coordination between
information systems and poor quality of informational
products as well as including lack of consistency of
the information systems, which greatly affects service
quality in most of these organizations. There is
however limited evidence and few studies that have
been conducted to assess the concept of management
information technologies in government institutions
which forms the basis of this study that aimed at
assessing the impact of management information
technologies on quality service delivery in these
institutions.
1.3 Objectives of the Study
1.3.1 General Objective
The study was majorly aimed at establishing the
impact of management information technology on
quality service delivery in government institutions
using Greece as the case study.
1.3.2 Specific Objectives
1. To establish the relationship between IT
infrastructure management and quality service
delivery in government institutions
2. To determine the relationship between IT support
systems and quality service delivery in
government institutions
3. To explore the relationship between Informational
data and quality service delivery in government
institutions
1.4 Research Hypothesis
In order to establish the most required and useful
information in this study and achieve the study
objectives, it was important to have a number of
research hypotheses. Arising from the objectives of
the study, this research aims to test the following
hypotheses:
H1: There is a relationship between IT infrastructure
management and quality service delivery in
government institutions
H2: There is a relationship between IT support
systems and quality service delivery in government
institutions
H3: There is a relationship between Informational
data and quality service delivery in government
institutions
1.5 Conceptual Frame Work
The model below shows the relationship between the
different aspects of management information
technology as the independent variable and service
quality as the dependent variable. The conceptual
framework is presented in Figure 1.
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Fig. 1: Conceptual framework (authors own work)
The model shows that service quality is dependent
upon the different aspects of management information
technology. Service quality has three dimensions of
timeliness, responsiveness and reliability of the
required public services. On the other hand,
management information technology has three
dimensions of IT infrastructure management, IT
support systems, and Informational data.
1.6 Significance of the Study
The evidence from the study will be useful to the field
of management information technology mist
especially to the IT personnel in the government
institutions as it will generate knowledge on how to
utilize the different aspects of information systems
towards enhancing service quality in public
institutions. The findings will also add to the existing
body of knowledge to be used by various
academicians for further research. Results from the
study will enlighten the UAE government and other
stakeholders on the relevance of the e-government
systems or the management information technologies
towards Improving Service Delivery In The Country.
2 Literature Review
2.1 Theoretical Review
2.1.1 Service Quality (SERVQUAL) Model
The study was based on the different aspects of the
service quality (SERVQUAL) model advanced by [7],
which states that service quality has five dimensions
namely; reliability, tangibility, responsiveness,
empathy and assurance. Reliability looks at
performance of a promised service correctly,
tangibility of a service looks at assessing the
appearance of personnel, physical facilities and tools
for provision of a service; responsiveness looks at the
willingness to provide services promptly, immediately
responding to requests and solving problems, empathy
looks at the care and personalized attention the firm
provides to its customers while assurance focuses on
the knowledge, skills, and courtesy of service
providers as well as their level of confidence
conveyed while delivering the service [8].
Service quality then is an estimation of how well
services delivered equals customer expectations and
that the central objective of focusing on quality is to
meet the needs of customers while remaining
competitive economically. [9] indicate that the
SERVIQUAL model is relevant to the study because
it proposes a key dependent variable of the study i.e.
service quality. The model suggests the need to
evaluate internal and outsourced service quality of
partners in the form of reliability, tangibility,
responsiveness, empathy and assurance in offering
logistics services to parties in the contract. The [7]
service quality model therefore suggests the use of the
above parameters to assess the influence of various
logistics management aspects on service quality. For
example; [10] established that there is a link between
the Model’s dimension of “responsiveness” to the
delivery of the right amount of a product, at the right
place and time, in the right condition with the right
information.
Service quality government institutions are
associated with the effectiveness of the management
information technologies which involves IT
infrastructure management, procedural systems, IT
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support systems, quality management and
informational data. For example, the nature of IT
infrastructure management greatly influences the
robustness of the equitable, timely and reliable
delivery of services to the general public. This is the
same case for IT support systems and informational
data in government institutions whereby their level of
robustness helps in influencing service quality as
explained in the subsequent sections [10], [11], [12].
2.2 Management Information Technology
Practices
Management information technology is comprised of
different elements hence requires highly
multidisciplinary perspectives. The different aspects
of management information technology are
considered very important concerning the
effectiveness of different government institutions in
the delivery of public services to the citizens [13].
Huge investments in information technology have
been observed in most developed countries where
governments have forced in enhancing the level of
technology in the most sensitive institutions as a way
of improving on the levels of transparency,
accountability, employee performance and quality
service delivery most especially through equitable
allocation of resources [14], [15] .
Management Information technology aspects are
associated with the concept of E-government which is
basically an inclusion of different applications of both
information and communication technologies that
focus on enhancing the general level of efficiency,
effectiveness, transparency and accountability of daily
administration of government institutions in
developed countries such as the UAE. According to
[16], E-Government can be defined as a general
application of different Information and
Communication Technology (ICT) aspects in order to
transform the operations of government institutions by
majorly making these institutions and their services
more accessible, effective and accountable to the
general public. Reports by the United Nations reveal
that e-Government is basically a government that uses
different elements of ICT to transform its different
internal and external relationships and consequently
improve service delivery [17], [18].
The management information technology
practices in e-governments are majorly grounded on
two specific sub-systems that include an internal
communication sub-system commonly known as
Intra-com and an external communication subsystem
also known as Extracom. Scholars indicate that to
obtain the best level of quality service delivery, the
two subsystems have to be strongly linked or
interconnected. In this case, intra-com applications are
efficient in supporting different service production
processes also commonly known as Agency to
agency-A2A- applications. On the other hand, Extra-
com applications are majorly concerned with boosting
different supporting service delivery processes hence
are termed as Agency to citizens and businesses
applications [13].
2.2.1 Infrastructure Management
Infrastructure of any public institution is key towards
the efficiency of information systems of that particular
organization or public institution. Studies indicate that
for most people working in the different institutions
associated with the physical infrastructure of an
organization, the most ideal place to store essential or
sensitive information is the organization’s network.
Research indicates that it is always important to put
into consideration the different aspects of both
security and accessibility when making data
placement decisions. The general integration of
databases of different public institutions helps to
increase or improve the usability of data across
multiple databases. The other aspect of infrastructure
management is the data warehousing systems which
has continuously provided different powerful tools for
comprehensively understanding data trends majorly
through enabling multi-dimensional analysis of data
collected from different operational databases in a
public institution [19].
A study conducted by [20] revealed that most
public institutions across the world are increasingly
focusing on the provision of a common network
computing and information infrastructure that is
readily accessible by the general public. This to a
greater extent helps in collectively addressing the
most pressing challenges of the information systems
at a wider scale. Most organizations and public
institutions that have in the past been fond of opening
up their operations to the entire external world
through different IS-enabled concepts like virtual
enterprise, are now associated with a worldwide form
of momentum [21], [22].
2.2.2 Procedural Systems
[23] indicate that systems development is one of the
most core elements in management information
technology since it forms the basis for the different
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operations executed by the different information
technologies. Systems development is a core element
of most information systems curricula hence it is
always advised to accord a lot of time to the different
aspects of procedural systems towards enhancing the
effectiveness or robustness of information systems in
any public institution. The entire process of
developing a robust information system or
infrastructure is normally broken into different
independent and well-defined systematic processes.
These cuts across proper planning, requirements
elicitation, analysis, the specification processes,
design, general implementation, operations and
support, maintenance and evolution [23]. The other
processes associated with procedural system are the
verification and validation processes which are
associated with different activities such as testing and
these need to be carried out in parallel with the main
production processes. Most of the different lifestyle
activities are much associated with active participation
from the different stakeholders in the public
institutions where the management information
systems are implemented for use in enhancing service
delivery. For example [24] indicate that technical
feasibility and different business priorities as well as
the risks involved in management information
systems, are normally reviewed at different predefined
checkpoints in any public institution.
[19] indicate that in scenarios where different
externally provided components or subsystems are
involved in the lifestyle of any information system,
there tends to emerge other additional processes
concerned with procurement and integration. The
robustness of any information systems based on the
procedural systems applied helps in enhancing the
levels of transparency and accountability of an
organization which in the long run improves on
service quality levels. Similarly in different public or
government institutions, the efficiency or
effectiveness in the delivery of public services is
determined by the nature of the procedural systems
involved in developing different management
information systems [23].
[21] in their study indicated that systematic
processes are a very important element in the field of
management information technology. Systematic
approaches play a key role in budget control
processes, scheduling activities, allocating resources
and consequently guiding in the utilization of different
opportunities to enhance performance of different
information systems and the organization as a whole.
Studies however reveal that lack of systematic process
is still a concern in most public institutions with UAE
inclusive and this has greatly contributed to the poor
quality or poor performance of most software or
information systems in organizations. Most
organizations are continuously involved in different
efforts to enhance the robustness of information
systems majorly by institutionalizing good practices in
systematic processes, through quality standards,
assessment and certification, as well as process
improvement initiatives [6], [25].
2.2.3 Support Systems
Support systems which are composed of qualified
teams of personnel are very important in enhancing
the effectiveness of management information systems
and consequently improving service quality in
different organizations or public institutions. The
qualified teams are majorly concerned with the
general development and maintenance of the
information systems and consequently ensuring that
such systems are utilized to improve transparency and
accountability the performance of an organization
through effective or efficient service delivery.
Research indicates that for effective execution of
different tasks or activities in an organization, the
different support systems must be conversant with the
different dynamics of such activities. For example
concerning Information systems, organizations are
continuously advised to employ staff that are highly
qualified in handling different IT infrastructure since
it influences the level to which ICT enhances services
delivery in the organization.
Studies indicate that some IT tasks in organization
require great familiarity with the IT application
domain, whereas requires very deep knowledge
concerning particular Information Technologies and
platforms. Research also indicates that some IT
operations require great meticulous attention to detail,
while others require oversight and vision. A study by
[26] confirmed that well-functioning organizations
with well established support systems hold great
importance in the same way as the different technical
capabilities required for the general success of
particular projects. Research indicates that the quality
of every work product is greatly dependent on the
time and efforts invested towards producing such a
product [27]. In this case, support systems are entirely
responsible for showcasing the highest level of
commitment when executing different operational
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tasks in an organization and consequently in
delivering different services.
Studies reveal that most social organizations are
normally much concerned with how different
processes and products are organized, rather than
explicitly designed, and this is majorly due to the fact
that there are few aids beyond generic project
management tools in such organizations. A study
by [27] confirmed the general importance of human
knowledge and ingenuity in systems development and
quality service delivery in organizations. This
therefore indicates that there is a great relationship
between IT support systems and level of quality
service delivery in organizations [28], [29].
2.2.4 Informational Products
Informational products also form part of a reliable and
effective information systems unit in any organization
[6]. Studies indicate that the management information
technology practices are majorly concerned with the
production processes that are greatly interconnected
with a particular information system of an
organization. The production processes majorly
encompass products and artifacts that are highly
visible to the end-user and these may include;
executable codes, documentations, and different
training materials, as well as various intermediate
products that are internal to the entire system
development of an organization. When more than one
organization is involved in the creation and
maintenance of a system, there are intermediate
products that are shared or flow across them [30],
[31].
Studies indicate that large system projects are
associated with different types of processes that
produce several kinds of information products related
to one another in a number of complex ways [32].
Most meta-modeling and repository technologies are
in most cases applied as a tool for managing the
different large sets of information systems or the vast
amounts of the information produced in a particular
project. These technologies are essential in enhancing
retrieval, updating, and consequently supporting
coordination among different project team members,
which in the long run influences project success [33],
[34].
2.2.5 Qualities Management
[5] indicate that proper management of quality of
different systems in an organization provides an
opportunity to improve on the quality of services
delivered in a particular period. Studies indicate that
whereas different processes and products constitute
the most highly tangible aspects of Information
Systems work, less tangible issues of quality are
absolutely very important for the general success of
the entire system. Most customers and users of IT
systems always require systems that not only provide
or offer the most preferred functionalities, but also
different important non-functional requirements that
are sometimes conflicting such as performance,
general costs, delivery schedules, reliability,
responsiveness, safety, and accuracy, as well as
usability, among many others [2] .
Most organizations or entities as well as the
different software and information systems
professionals, are faced with a big challenge of
meeting different competing quality requirements
[14]. This to a greater extent affects the flow of
operations under different information systems which
in the long run greatly impacts the overall quality of
services delivered by a particular organization. Most
system developers lack the capacity to guarantee
correctness of large systems and consequently fail to
meet the different nonfunctional requirements of
clients or beneficiaries of a particular set of
information systems thereby affecting the positivity of
targeted project outcomes in a particular organization.
Most modern entities still face various issues
associated with the incompetence of most software
developers that fail to control or manage quality of
relatively larger information systems [35].
Different scholars have suggested specific
techniques or mechanisms that can be based on to
address the issues of quality management in
Information Systems as well as ways on how to
enhance the different non-functional requirements
such as performance, accuracy and reliability, among
many others. Research however indicates that some
qualities such as reusability are very hard to
characterize. It is important to note that in situations
where multiple requirements have to be traded off
against each other, different systematic techniques are
required to deal with the arising or existing synergistic
as well as conflicting interactions among the multiple
functional or non-functional requirements [36].
Studies indicate that most goal-oriented
approaches have been introduced to support the
systematic refinement, general interaction analysis,
and operationalization of different non-functional
requirements. On the level of project management,
different institutionalized software process
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improvement programs tend to target the overall
project quality improvements. It is important to
always focus on measuring and keeping a track record
of quality improvements, with the obtained results
being fed back into new initiatives of improving the
quality of the existing Information Systems [37].
2.3 Quality Service Delivery
Studies indicate that all organization or entities are
always aimed at providing quality services or products
to their clients. Customers derive satisfaction and
improve on their loyalty through accessing quality
services in a more responsive and timely manner. E-
governments are founded on a mission to use different
management information systems to deliver quality
services to citizens and other stakeholders of
government. Through different government
institutions, the IT infrastructure is relied on as a
mechanism of effectively managing IT processes that
lead to production and delivery of different products
and services in any organization or government
institutions [23].
Service delivery in different organizations is
associated with comparison of expectations with
performance of an organization. [30] indicates that the
general quality of services offered by a particular
organization, is a measure of the extent to which a
delivered service matches the different preferences or
expectations of the end user. [8] identified the main
determinants of service delivery as tangibles, level of
reliability, level of responsiveness, rate of assurance
and empathy [38].
[24] explains reliability as the ability to perform
and deliver the promised services consistently,
dependably, and consequently accurately thereby
meeting the needs of customers. Reliability has often
been cited as the most important dimension in
assessing the quality of service and is therefore a
fundamental requirement for businesses to compete in
the marketplace. However, many services are labor
intensive and human service providers make mistakes.
Consequently, a high percentage of service failures
are a result of human error in the delivery process,
which may take the form of either inappropriate
intentions or actions not proceeding as intended. The
other aspect of service quality is responsiveness which
explains the willingness of an organization or
institution to respond to the needs of customers or
beneficiaries by offering highly quality, desirable and
fast services. Responsiveness helps to lower the rate
of complaints that normally arise from customers
following poor service delivery that involves delay in
attending to customer needs or providing less quality
products or services. Studies indicate that
responsiveness involves attending to different
customer needs promptly without having to delay or
subjecting customers to several bureaucracies [32].
[39] explains responsiveness as a systematic
process that involves undertaking different actions or
activities in a quick manner so as to meet the different
needs and desires of the customers or clients. [39]
further indicates that responsiveness is much
concerned with keeping customers informed about an
ongoing activity to meet their requests and
consequently giving the clients a sense that fulfilling
their demands is a priority of an organization.
2.4 Summary and Knowledge Gap
In relation to the different studies assessed in the
literature review, it is clear that service quality in
different organizations or public institutions greatly
depends on the robustness of information systems
based on different management information
technologies. However most of the studies reviewed
were majorly focused on other areas other than
government institutions or the public sector and for
other countries whose approach to the e-government
systems is quite different from that of Greece. This
therefore presents a research gap concerning the
applicability of management information technologies
in the perspective of Greece most especially in
relation to delivery of quality public services [15].
3 Methodology
3.1 Research Design
[31] defines research design as a conceptual structure
where research is conducted which establishes a basis
for collection, measurement and analysis of data. The
research design was cross-sectional survey to enable
observation of several variables simultaneously and
the study employed both quantitative and qualitative
approaches for data collection and for hypothesis
testing.
3.2 Study Population
According to [31], [21], population refers to a set
objects or individuals that have shared noticeable
features where generalization can be made. The study
targeted the different government officials employed
in the different public institutions or government
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institutions in Greece. The study majorly targeted
employees in the IT sector and institutions concerned
with delivery of public services in Greece. This
population was targeted since the different
government officials in such institutions are
associated with great knowledge concerning the
impact of management information technology on the
levels of service delivery.
3.3 Sample Size
3.3.1 Sample Size
Sampling refers to the selection of subjects
representing the larger group they were drawn from
i.e. a sample and this was based on the [40] model.
The sample size was 88 respondents who included 70
respondents selected from the different institutions
concerned with IT and service delivery in Greece.
3.3.2 Sampling Techniques and Procedure
The study was based on probability sampling
techniques that include stratified and simple random
sampling. Stratified sampling is a probability
sampling technique that involves the researcher
dividing the target population of the study into distinct
subgroups commonly known as strata, and then
undertakes a random selection of the final sample
proportionally from the strata. In this case the target
sample was arrived at using stratified sampling and
the final sample was extracted from the strata using
simple random sampling technique. The advantage
with simple random sampling is that it creates samples
that are highly representative of the population though
it may be very tedious and time consuming, especially
when creating larger samples [41].
Table 1 presents the different sub groups of
respondents used in the study and the corresponding
methods of data collection that were used for each
individual subgroup from the Greece government.
Table 1. Study population, sample size, techniques and data collection methods
Category
Population
Sample
Data collection method
Directors
8
8
Questionnaire
IT officers
70
60
Questionnaire
Top managers
10
10
Questionnaire
Total
88
78
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3.4 Data Collection Methods
Primary and secondary methods of data collection
were used in the collection of data from the different
participants selected from the different government
institutions in the UAE especially those concerned
with IT and service delivery. These methods
included; questionnaire survey method and document
review method.
3.4.1Questionnaire Survey
The questionnaire is one of the most convenient and
popular methods of data collection. This is because it
is less expensive as it covers a large number of
respondents in a short time and it encourages
respondents to easily reply to sensitive questions
without fear of criticism or disapproval from the
researcher. A questionnaire was used to gain insight
into the phenomenon of management information
technology and service quality from the different
government employees because it was assumed that
being employed in the IT and service delivery public
institutions of government, they would possess great
knowledge to help in addressing the different aims of
the study.
3.4.2 Document Review
Document review is concerned with examination of
different documents that have or contain information
about the topic of study. In this research study the
different reviewed documents included; strategic
plans, financial records, guidelines, annual reports,
evaluation committee minutes and reports, among
others. This gave additional information to add to the
one collected from the primary data instruments
towards establishing the relationship between the
different aspects of management information systems
and service quality in government institutions.
3.5 Data Collection Instruments
3.5.1 Self-administered Questionnaire
[42] argues that what makes questionnaires
appropriate is its ability to cover a large population.
[42] describes a questionnaire as a series of questions
asked to obtain information on the study objectives
from respondents. Therefore, closed-ended
questionnaires were administered to collect primary
quantitative data from 70 government employees.
3.5.2 Document Review Checklist
[43] submits that a document review checklist can be
used to expose an area of investigation and inform
researchers on the salient issues in that field. A
document review checklist was used to collect data
objective by objective in line with logistics
management system for improved service quality.
Primary and secondary data was collected from
strategic plans, financial records, guidelines, annual
reports among others. Use of documents required
thematic analysis processes whereby key themes
were identified for further analysis and conclusions.
3.6 Pre-testing (Validity and Reliability)
3.6.1 Validity
Validity was assessed using both face validity and
content validity as explained below:
3.6.1.1 Face Validity
To establish the face validity of the research
instruments, the researcher presented them for a
comprehensive cross examination by a research
consultant. This was to establish whether they were
suitable for using in the data collection process and if
these instruments could ensure collection of accurate
and consistent data. The supervisor was also
contacted to confirm that the instruments used are
suitable enough to help in collecting relevant
information for the study.
3.6.1.2 Content Validity
[45] defines validity as the correctness and
significance of suggestions founded on results from
research. Content validity was established using
CVC. [42] recommends a minimum CVI of 0.7 to
test content validity index. Therefore; CVI = n/N,
where, n= number of questions deemed valid, N=
Total number of questions in the questionnaire.
C
The values for each individual section of the
questionnaire and the total CVI are presented in
Table 2.
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Table 2. Content validity index the research instrument
Variable
Anchor
CVI
IT infrastructure management
5 point
0.81
IT support systems
5 point
0.83
Informational data
5 point
0.78
Service Quality
5 point
0.85
Average
5 point
0.83
Source: Primary Data (2022) (authors own work)
Content validity =0.83
The results show that the instrument was valid based
on the content validity index (CVI) that was above
0.5.
3.6.2 Reliability
Reliability is defined by [44] as a measure of the
grade instruments yield dependable results after
repetitive trials. The reliability analysis of the
questionnaire was carried out through Cronbach’s
Alpha Coefficient test.
Whereby N = is the number of items,
C = average covariance between item pairs and
V
= Average variance
[44] argues that for any instrument to be rendered
reliable for use in data collection, the reliability test
must first yield a value of 0.7 or higher. This value
should be obtained on a well-defined substantial
sample of the study. In a bid to test the reliability of
the research instruments, 10 respondents who were
not part of the final study were selected and used to
pilot test the questionnaire. During this process, the
respondents were requested to undertake a critical
check-up of the questionnaire mostly concerning its
nature of design or construction, the clarity of the
language, and its breadth.
Table 3 presents the Cronbach Alpha Values for each
aspect of the independent and dependent variables.
Table 3. Reliability test of the research instrument
Variable
Anchor
Cronbach Alpha Value
IT infrastructure management
5 point
0.863
IT support systems
5 point
0.821
Informational data
5 point
0.713
Service Quality
5 point
0.817
Average
5 point
0.804
Source: Primary Data (2022) (authors own work)
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The results in table 3 show that the instrument was
very reliable as confirmed by the values of both
coefficients which were above 0.5.
3.7 Data Collection Procedure
After successful proposal writing, an introductory
letter from the university was obtained seeking
permission to conduct the study based on data to be
collected from UAE government employees.
Respondents were identified and questionnaires
administered to them. The researcher ensured
confidentiality and anonymity by requesting them not
to confirm their willingness to participate in the
research study. After conducting interviews and
collecting data from the government employees using
the questionnaire, the researcher held a focus
discussion with the selected inmates to collect data
about their opinions concerning management
information technology and service quality UAE
government institutions. The researcher also visited
relevant offices of UAE government institutions to
collect different documents which were based on fir
document review.
3.8 Measurement of Variables
The variables were measured by defining concepts
operationally. For example, questionnaires were
designed asking responses about management
information technology and service quality in
government institutions. These were converted into
measureable and observable elements to allow
development of an index concept. A five-point Likert
scale namely: 5-Strongly agree; 4- Agree; 3- Not sure;
2- Disagree; 1- Strongly disagree was used to measure
the independent and dependent variables. Age of
prison warders as indicated in the questionnaire was
broken down into distinct age groups whereby each
group is a status in the social structure in the study
population.
3.9 Data Analysis
[29] defines data analysis as the method of conveying
order and structure to data. Quantitative data scores
from the questionnaire were organized, coded and be
analyzed using frequencies and percentages, standard
deviations and means for each of the items in the
study. Pearson’s correlation statistics was employed to
check relationships at 99% level of confidence
interval. ANOVA statistics of adjusted R2 values,
beta values were used to carry out regression analysis
and significance values suggested by [42] to
determine the extent to which the different aspects of
management information technology influence the
level of service quality in government institutions.
Regression analysis was conducted in a bid to
establish the overall predictive strength of the
different independent variables on the dependent
variable of the study. In this case a multiple regression
model was of great importance in estimating different
predictive values.
Where;
Y= Service delivery in UAE government institutions
β0= constant (coefficient of intercept);
= IT infrastructure management
= IT support systems
= Informational data
= Represents the error term in the multiple
regression model
β1…β3= Represents the regression coefficient of the
three independent variables which double as aspects
of logistics management system and which helped in
determining the level of influence that the
independent variables ( IT infrastructure management,
IT support systems, and Informational data) on the
dependent variable (service quality) in UAE
government institutions.
The error term in this research study was based on
the assumption that there was absence of
autocorrelation. Thus therefore indicates that the
aspect of autocorrelation was not considered in this
research study. The hypotheses of the study were
tested at the 5% (0.05) level of significance and the
rejection and acceptance of the null hypotheses was
based on the decision rule that if p<0.05, then the null
hypothesis should be accepted and if P<0.05, then the
null hypothesis should be rejected.
3.10 Ethical Considerations
There are different ethical requirements that must be
put into consideration if any research study is to be
successful. Consequently, the researcher observed a
quite number of ethical issues which will be aimed at
avoiding any occurrence of harm during the process of
the study.
Firstly, permission to carry out the study will be
obtained from relevant authorities at the institution
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especially at the stage of data collection where the
researcher has to first obtain a letter from relevant
authorities.
Secondly the researcher will ensure that there is
informed consent whereby respondents were informed
about the details of the study and consequently the
researcher assessed their willingness to participate.
This was in addition to observing a high level of
confidentiality and privacy when handling the data
collected from respondents.
Finally, the respondents were given the freedom
to answer questions based on their own interpretation
of the different opinion questions. This will help in
obtaining broad answers especially for the open-ended
questions.
3.11 Limitations of the Study
There is anticipation of response bias. Personal
characteristics of participants may influence their
responses to questions, resulting in the phenomenon
of social desirability of response, extreme of response
and acquiescence. The questionnaire technique,
explanation of the purpose of the research to the
participants and assurance of confidentiality as well as
the signed consent form will be useful in reducing the
above traits.
Transient personal factors may also affect final
results. Some temporary states of participants, such as
anxiety and fatigue, could influence their response. To
limit this, the researcher will try to engage the
different participants during morning hours
There is also anticipation of researcher’s bias. The
researcher is the main conductor of the study in the
participants’ natural environment. The researcher
practiced bracketing as well as reflexivity to
overcome this problem. The researcher will go back
participants to verify and clarify their responses.
3.12 Conclusion
This chapter has deeply explained the research setting
or design, population and sampling to be used in the
study as well as the sample size from the study
population. The different instruments for the data
collection and analysis have been fully discussed and
ways on how quality will be ensured have been
presented. Finally, this chapter as highlighted the
ethical considerations that will be taken into
consideration so as to obtain accurate results.
4 Results
This chapter presents a detailed account of the
analysis, presentation and interpretation of the
research findings obtained using the different
quantitative research tools. This chapter first
discussed the response rate and demographic
characteristics of the government employees whose
information was collected using the questionnaire.
This was followed by analysis of variance (ANOVA)
for the different variables. The chapter then discussed
the different specific objectives by establishing the
relationship between the variables using Pearson’s
rank correlation coefficient. The chapter then
presented the regression analysis with the subsequent
interpretation of the results.
4.1 Response Rate
Response rate refers to the general computation
obtained after collecting data using the available data
collection tools. Table 4 presents the rate of response
for each data collection tool used in the study.
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Table 4. Rate of response
Instrument
Target response
Actual Response
Percentage
Questionnaire
78
60
76.9
Source: Primary data (2022) (authors own work)
The results in Table 4 show that the study registered a
response rate of 76.9% as this was considered a good
response since it was above 50% as suggested by [42].
4.2 Demographic Characteristics
To collect demographic data about the study
participants, questions of the first section of the
questionnaire were used as indices asking the
respondents to indicate their sex, age group, level of
education, marital status of respondents, and the years
they had spent in the different government
institutions. The findings collected are presented
below.
4.2.1 Sex of Respondents
The respondents through the questionnaire were
requested to indicate their sex and the prison warders
gave varying responses.
Table 5 presents the distribution of government
employees based on their sex.
Table 5. Sex of the participants
Sex
Frequency
Percentage
Male
53
88.3
Female
17
11.7
Total
60
100.0
Source: Primary data (2022) (authors own work)
Findings in Table 5 clearly indicate that both males
and females participated in the research study
whereby 53 were males representing 88.3% of the
total respondents and the remaining 17 were females
representing 11.7% of the total number of
respondents. This therefore indicates that majority of
the study participants were males though all gender
cohorts were represented thereby fulfilling the notion
of gender balance. With this gender balance, it meant
that the results obtained after data collection
represented the views of both males and females in
the different government institutions in Greece.
Furthermore the high number of males in this study
meant that to a greater extent males make up the
largest number of government employees as compared
to women.
4.2.2 Age of Respondents
The researcher through the questionnaire also
requested the participants to indicate their age bracket
and their responses are presented in Table 6.
Table 6. Age of the participants
Age bracket
Frequency
Percentage
18 – 30
17
28.3
31– 40
29
48.4
41 – 50
8
13.3
51 and above
6
10.0
Total
60
100.0
Source: Primary data (2022) (authors own work)
The study findings presented in Table 6 revealed that
majority of the participants were in the age bracket of
31– 40 years representing 48.4% of the total number
of respondents. This was followed by 17 respondents
in the age bracket of 18–30 years representing 28.3%
of the total number of respondents. The least number
of respondents was in the age bracket of 51 years and
above and this was representing 10% of the total
number of respondents. These results show that data
was collected from people of sound age hence they
were able to give articulate answers concerning the
influence of management information technology and
service quality in government institutions.
4.2.3 Marital Status of Respondents
In order to further establish more demographic
characteristics of respondents, the researcher
requested them to indicate their marital status and
their responses are presented in Table 7.
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Table 7. Marital status of participants
Number of years
Frequency
Percent
Single
13
21.7
Married
28
46.7
Separated/Divorced
16
26.6
Widow/Widower
3
5.0
Total
60
100.0
Source: Primary data (2022) (authors own work)
The results presented in Table 7 indicate that
majority of the respondents were married
representing 46.7% of the total number of the
participants. This was followed by those who were
separated or divorced representing 26.6% of the total
number of respondents and then the single
representing 21.7% of the respondents. The least
number of respondents were widows or widowers
representing only 5% of the total number of
respondents.
4.2.4 Highest Level of Education of Respondents
In a bid to find out the level of education of
respondents, they were requested to indicate their age
and their varying responses are presented in Figure 2
below:
Fig. 2: Level of education of government employees
Source: Primary data (2022), (authors own work)
The results presented in Figure 2 revealed that
majority of the government employees (60%) had
attained a masters degree, 23.3% had attained a
bachelors degree, 10% had attained a diploma while
the least number of respondents. These results clearly
showed that majority of the government employees
had attained high levels of education hence possessed
great knowledge to clearly articulate different issues
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associated with the impact of management
information technology on service delivery in
government institution particularly in Greece.
4.2.5 Years Spent at in the Government
Institution
To further understand the demographic
characteristics of respondents, the researcher
requested to indicate the years they had spent in the
Greece government institution and their responses
are presented in Table 3.
Fig. 3: Years spent in the government institution
Source: Primary data (2022, (authors own work)
The results presented in Figure 3 indicate that
majority of the respondents had spent 3-5 years
working in the UAE government institution
representing 51.6% of the total number of
respondents. This was followed by 15 respondents
who had spent 6-10 years in the UAE government
institution representing 25% of the total number and
then 10 respondents who had spent 11 years and
beyond representing 16.7% of the total number. The
least number of respondents had spent 1-2 years
representing only 6.7% of the total number. The
results show that majority of the respondents had
employed in the different IT and service delivery
sectors in the different government institutions in the
UAE hence had enough experience to express
balanced opinions on the impact of management
information technology on service delivery.
4.3 Analysis of Variance (ANOVA)
In order to assess the level of similarity or variation
between the responses provided by Prison Warders,
analysis of variance was undertaken and this helped
in evaluating the level of variation based on mean
and standard deviation as presented in Table 8.
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Table 8. ANOVA results for years spent working in the UAE government institutions by the different study
variables
Years spent in the
government institution
Mean
Std.
Deviation
Std.
Error
F
Sig.
IIT infrastructure
management
1-2 years
3.24
1.08
0.35
3.211
.032
3-5 years
3.08
1.52
0.08
6-10 years
3.17
1.25
0.12
11 years and beyond
3.51
0.92
0.17
Total
3.25
1.19
0.18
IT support systems
1-2 years
3.53
0.84
0.13
1.016
.061
3-5 years
3.31
1.13
0.04
6-10 years
3.80
0.57
0.06
11 years and beyond
3.41
1.06
0.14
Total
3.54
0.09
0.09
Informational products
1-2 years
3.62
0.73
0.17
5.124
.003
3-5 years
4.17
0.38
0.13
6-10 years
4.23
0.57
0.09
11 years and beyond
4.31
0.44
0.14
Total
4.08
0.53
0.13
Quality service delivery
1-2 years
3.91
0.73
0.20
1.618
.152
3-5 years
4.20
0.65
0.04
6-10 years
4.13
0.25
0.10
11 years and beyond
4.23
0.52
0.09
Total
4.12
0.53
0.11
Source: Primary Data (2022) (authors own work)
The results presented in Table 8 show that the
different government employees within the four
categories of years spent at the UAE government
institution significantly differed in their opinions
concerning IT infrastructure management (p=.032<
.05). This can be attributed to the fact that having
been at different time periods, the employees could
have had varying experiences in applying different
aspects of IT infrastructure in delivery different
services to relevant people.
The results showed a no significant variation
among the government employees’ opinions
concerning IT support systems in the different UAE
government institutions (p = .061 >.05). This
indicates that for no matter the number of years spent
in the government institution, most employees are
conversant with the relevance of different IT support
systems such as the qualified IT personnel and other
important resources towards enhancing the level of
quality service delivery in an organization or
government institution.
The results also indicated that there was a
significant variation in the responses provided by the
study participants concerning informational products
in regard to service quality in the Greece government
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institutions (p=.003>.05). This variation could be
attributed to lack of a uniform and systematic flow of
IT performance based information in some of the
government institutions that would enable employees
to have relatively same knowledge concerning the
impact of Information systems on service quality.
Finally there was no significant variation
concerning the opinions of respondents on service
quality in the different government institutions
(p=.152<0.05). This implies that all government
employees included in the study were conversant
with the level of quality service delivery in the
government institutions as influenced by the
management information technologies hence these
employees do not vary much in perception
concerning service quality.
4.4 Relationship between the Study Variables
This section provided an explanation concerning the
relationship between the different variables of the
study.
4.4.1 Relationship between IT Infrastructure
Management and Quality Service Delivery in
Government Institutions
The first objective of this masters’ thesis was to
establish the relationship between IT infrastructure
management and service quality in UAE based
government institutions. In order to achieve this
objective, a cross tabulation of the responses on IT
infrastructure management and service delivery was
done and consequently the correlational analysis was
conducted to establish the level of the relationship.
The results obtained and the subsequent Pearson’s
coefficient values are presented in Table 9.
Table 9. Correlation between IT infrastructure management and Quality service delivery in government institutions
IT
infrastructure
management
Quality Service
Delivery
IT infrastructure
management
Pearson Correlation
Sig. (2-tailed)
N
1
.248**
.000
60
60
Quality service
delivery
Pearson Correlation
Sig. (2-tailed)
N
.248**
1
.000
60
60
**. Correlation is significant at the 0.01 level (2-tailed).
Source: Primary Data (2022), (authors own work)
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The relationship between IT infrastructure
management and Service Quality was determined
using Pearson’s Correlation coefficient. After the
cross tabulation and analysis, it was established that
there is a significant positive relationship between IT
infrastructure management and service quality at
UAE government institutions (r= 0.248**, n=60,
p=.000). The results clearly show that the different
aspects of IT infrastructure management under
management information technology greatly
influence the level of service quality in the different
government institutions. These results also led to the
acceptance of the null hypothesis H1 that there is a
significant relationship between IT infrastructure
management and quality service delivery in
government institutions. Through document review
of Annual reports by different government
institutions most especially from the IT sector, it was
established that proper management of the IT
infrastructure helps to keep a robust and effective
information systems that encourages transparency
and proper decision making processes in the different
government institutions in Greece.
4.4.2 Relationship between IT Support Systems
and Quality Service Delivery in Government
Institutions
The second objective of the study was to establish the
relationship between IT support systems and service
quality in UAE government institutions. In order to
achieve, correlational analysis was conducted to
establish the relationship between inventory control
influence service quality and this would then help in
determining how inventory control influence service
quality in Greece government institutions. The results
obtained and the subsequent Pearson’s coefficient
values are presented in Table 10.
Table 10. Correlation between inventory control and service quality in government institutions
IT support systems
Quality service
delivery
IT support systems
Pearson Correlation
Sig. (2-tailed)
N
1
.326**
.000
60
60
Quality service delivery
Pearson Correlation
Sig. (2-tailed)
N
.326**
1
.000
60
60
**. Correlation is significant at the 0.01 level (2-tailed).
Source: Primary Data (2022), (authors own work)
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Pearson’s Correlation coefficient was used to
establish the relationship between IT support systems
and Service Quality in Greece government
institutions. Following cross tabulation and
correlational analysis it was established that there is a
positive relationship between freight planning and
service quality at UAE government institutions (r=
0.326**, n=60, p=.000). The results clearly show that
the input and efforts rendered by the different support
systems of the information system and the entire IT
sector greatly influence the level of service quality in
the delivery of services by the UAE government
institutions. These results also led to the acceptance
of the null hypothesis H2 that IT support systems has
a significant and moderate relationship with quality
service delivery in Greece government institutions.
4.4.3 Relationship between Informational
Products and Service Quality in UAE
Government Institutions
The third objective of the study was to establish the
relationship between informational products and
quality service delivery in Greece government
institutions. Correlational analysis was conducted to
establish this relationship and the results obtained are
presented in Table 11.
Table 11. Correlation between Information flow and quality service delivery Service
Informational
products
Quality Service
Delivery
Informational products
Pearson Correlation
Sig. (2-tailed)
N
1
.453**
.000
60
60
Quality Service Delivery
Pearson Correlation
Sig. (2-tailed)
N
.453**
1
.000
60
60
**. Correlation is significant at the 0.01 level (2-tailed).
Pearson’s rank correlational coefficient was used to
establish the relationship between informational
products and service quality and the results clearly
showed that there is a positive and significant
relationship between inventory control and service
quality (r= 0.453**, n=60, p=.000). This therefore
indicates that the nature of access to informational
products as per the organization’s information
systems greatly influences the level of service quality
at Greece government institutions. Furthermore since
the P<0.01, and r=0.453, we accept the null
hypothesis H3 that there is a significant and moderate
relationship between informational products and
quality service delivery in Greece government
institutions.
4.5 Regression Analysis
Regression analysis was also conducted to further
establish the level to which the different independent
variables (IT infrastructure management, IT support
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systems, and Informational products) influence
service quality in Greece government institutions
based on different predictive values. The results
obtained after conducting regression analysis are
presented in Table 12.
Table 2. Showing results for multiple regression analysis
Unstandardized
Coefficients
Standardized
Coefficients
t
Sig.
Model
B
Std.Error
Beta
(Constant)
2.441
.354
6.889
.000
IT infrastructure management
.143
.034
.254
4.221
.000
IT support systems
0.090
.035
.351
2.596
.010
Informational products
0.087
.073
.169
1.184
.237
Dependent Variable: Quality Service Delivery
R
.405
R Square
.164
Adjusted R Square
.341
Std. Error of the Estimate
.629
Change Statistics
F Statistic
14.214
Sig.
.000
Source: Primary Data (2022), (authors own work)
The results in table 12 showed that the different study
variables can predict a 34.1% change in service
quality in UAE government institutions (Adjusted R
Square = .241). The results indicated that among the
different predictors of quality service delivery, IT
support systems (Beta = .351, p < .01) is a better
predictor as compared to IT infrastructure
management (Beta = .253, p < .01) and Informational
products (Beta = .169, p < .01). The results indicate
that despite management information technology
being a determinant of service quality in UAE
government institutions, there are other factors that
could influence service quality other than IT support
systems, IT infrastructure management, and
informational products.
5 Discussion
The quantitative study findings, based on a response
rate of 87.2%, confirmed that there is a relationship
between the different aspects of management
information technology (IT infrastructure, IT support
systems, and Informational products) and service
quality in the different government institutions in
UAE. This clearly shows that the robustness of the
information systems in the different public
institutions in UAE greatly influences the timeliness,
responsiveness, and reliability of the services
provided by the different government institutions to
the general public. The study also confirmed that
among different aspects of IT infrastructure
commonly found at different government institutions,
it is the application servers, LAN/WAN, databases
and operating systems that have a relatively higher
influence on the level of quality in service delivery as
compared to other aspects of IT infrastructure. This
therefore indicated that proper management of
application servers, system databases and the
different operating systems encourages high level of
accountability, transparency and proper decision
making in government institutions thereby enhancing
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the quality of services delivered by these
organizations [1]. The study also established that the
different activities involved in the lifestyle of
management information systems or technology that
entirely make up the procedural processes, are very
essential in enchaining the robustness of information
systems and consequently the level of service quality
in government institutions. It was established that
that the most important systematic processes that
have a great impact on quality of services delivered
include; general maintenance and evolution, the
verification and validation processes that may also
involve testing, IT operations and support and
requirements elicitation [46].
The study further established that the different
aspects of IT support systems are very essential in
enhancing the effectiveness of management
information systems which in the long run has a
positive impact on service quality levels in the
different government institutions in Greece. In this
case, the study confirmed that the most important
personnel in management information technology are
the experts conversant with the different information
systems applications’ domain. The study further
revealed that to have an active IT support system,
there should be degrees of task specialization among
the different IT staff in the government institutions,
staff flexibility for the task at hand should be very
high and human intellectual capital perspectives
should be of great quality. The study further
revealed that the different aspects of information
management technology in terms of quality
management, have a great influence on service
quality in government institutions. The key features
of quality management that are most effective in
enhancing service quality majorly included;
continued provision of the different desired
functionalities and proper operationalization of the
different non-functional IT requirements in the
government or public institutions. The study clearly
confirmed that the informational products of
information systems or technologies have a great
impact on service quality in public institutions. The
study indicated that the key aspects of informational
products that are most effective concerning quality
delivery of services included; executable codes and
budgets formulations and schedules. The study
deduced that IT infrastructure management had the
greatest effect on quality delivery of service in
Greece government institutions, followed by IT
support systems, and then informational products.
The literature review also confirmed that procedural
systems and quality management have continuously
been associated with a highly positive and significant
relationship with service quality in government
institutions [47].
6 Conclusions
From the key study findings, it can be concluded that
the different elements of management information
technology majorly IT infrastructure, IT support
systems and informational products, have a great
positive impact on quality service delivery in
government institutions. From the study findings it
was clear that the different elements of IT
infrastructure management most especially
application servers, databases, and operating systems,
as well as network security greatly influenced the
level of service quality on the Greece government
institutions.
The study also concluded that the general
maintenance and evolution, verification and
validation, requirements elicitation, design of
information systems, proper planning, analysis and
specification greatly influence the level of service
delivery in government institutions in Greece. The
study further concludes that the service delivery in
most government institutions in Greece is also
normally affected by the IT support systems which
majorly involve the human resource or the IT
personnel or expertise. On the same the study
concludes that the aspects of human capital that
greatly affect level of service delivery in
government institutions majorly include; having
knowledge about information systems and their
application domains, and encouraging high degree of
task specialization among the different IT staff, as
well as ensuring staff flexibility for the different
activities or IT tasks at task. Furthermore it is clear
that quality management for any information system
greatly influences the service delivery in the different
government institutions in Greece.
The study concludes that the aspects of qualities
management that influence service delivery in
Greece government institutions cut across the general
operationalization of non-functional requirements,
optimizing organizational strategies and IT
investments, provision of the desired functionalities,
synergistic and conflicting interactions, IS reliability,
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quality improvements, and use of consistent and
methodical processes when consolidating or
reengineering systems. Finally the study concludes
that informational products such as executable code
budgets and schedules, work breakdowns and
allocations, requirements and specifications,
architectural diagrams and descriptions,
documentation, technology investment decisions
informed by business strategy, test plans and training
material affect the service delivery in the different
Greece based government institutions.
6.1 Recommendations
Based on the different study findings presented in
this study, different recommendations were raised
whereby it is encouraged that government institutions
should focus on improving their IT infrastructure
majorly by employing more effective infrastructure
management strategies which in the longrun could
ably improve service quality in the different
government institutions. The study further
recommends that the different government
institutions should ensure that they award appropriate
salaries and allowances to the human resource. This
could act as source of motivation to the employees
who are a crucial determinant of the quality of
service delivery in the public or government
institutions.
The study also recommends that Greece
government institutions and other public institutions
across the world should focus on maintaining quality
management information technologies or systems
that are reliable and effective. This will ensure that
there are no delays due to unexpected breakdowns or
system failure. In addition, the government
institutions should collaborate with different experts
who may help to identify system hitches
appropriately and consequently advice accordingly in
advance. The study also recommends that the
different government institutions in Greece
continuously focus on ensuring that their overall
informational products are regularly updated so as to
give current and actual information. This in the
longrun eliminates the issues associated with
miscommunication that are normally raised by out
dated information.
6.2 Limitations of the Study
The main limitations of this study were; the small
size of the sample in addition to a partial response
rate which to a greater extent could have limited the
confidence in the results and as well as limiting
generalizations to other situations. Some respondents
decided to withhold information which they
considered sensitive and classified. This to a greater
extent reduced the general probability of attaining a
more conclusive study. However, conclusions were
made with this response rate. The study looked at
government institutions in UAE. This could limit the
generalizations to other public institutions in the
country since the study only focused on the systems
in these institutions only.
6.3 Suggestions for Further Research
The study majorly focused on management
information technology aspects and their influence
on quality service delivery in government
institutions. In this case focus was aimed at the
performance of public institutions in the Greece as
per their use of different management information
technologies. The study therefore failed to focus on
private institutions hence it would be prudent fir
future studies to focus on determining the impact of
different management information systems on the
service quality in private institutions in Europe.
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Contribution of Individual Authors to the
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Policy)
The authors equally contributed to the present
research, at all stages from the formulation of the
problem to the final findings and solution.
Sources of Funding for Research Presented in a
Scientific Article or Scientific Article Itself
No funding was received for conducting this study.
Conflict of Interest
The authors have no conflict of interest to declare.
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