Abstract: In an urban area the location allocation of emergency
services mobile units, such as ambulances, police patrol cars must be
designed so as to achieve a prompt response to demand locations.
In this paper the partition of a given urban network into distinct
sub-networks is performed such that the vertices in each component
are close and simultaneously the sums of the corresponding
population in the sub-networks are almost uniform. The objective
here is to position appropriately in each sub-network a mobile
emergency unit in order to reduce the response time to the demands.
A mathematical model in framework of graph theory is developed.
In order to clarify the corresponding method a relevant numerical
example is presented on a small network.
Abstract: This paper is drawn from a wider study of the
management of gender, age and disability diversity in the banking
sector in the Kingdom of Saudi Arabia (KSA), which aims to develop
a framework for diversity management (DM) in this sector. The
paper focuses on the management of disability diversity. The purpose
of the paper is to assist in understanding disability DM in the banking
sector in KSA and to make suggestions for its enhancement. Hence, it
contributes to filling a research gap, as there is a dearth of literature
on disability DM, in KSA in general, and in the banking sector
specifically.
Discrimination against people with disabilities is a social issue that
has not been entirely overcome in any society. However, in KSA,
Islam informs almost every aspect of daily life including work, and
Islam is against discrimination. Hence, in KSA, there are regulations
to accommodate people with disabilities; however, employers are still
free not to hire job applicants with disabilities specifically because of
their condition. Indeed, disabled people are almost entirely absent
from the labour market.
There are 12 Saudi-owned or part-Saudi-owned banks in KSA and
two managers from each of these were interviewed, making a total of
24. The interviews aimed to investigate empirically the understanding
of managers in the banking sector in KSA of diversity management,
including disability DM, in the banking sector. The interview data
were analysed using thematic analysis. Two interviewees stated that
banks used the employment of people with disabilities to enhance
their corporate image, while five expressed the opinion that disabled
employees could contribute to the bank provided they did not have to
deal with customers face-to-face. Nine of the interviewees perceived
that disabled employees could be of value to the bank for their own
sake, not only in ‘behind the scenes’ roles. Another two interviewees
mentioned that employing disabled people could be part of the bank’s
community service programme and one thought it would be part of
the bank’s Saudisation efforts. The remaining five interviewees did
not know how disabled people could contribute to the bank.
The findings show that disability DM in the banking sector in
KSA is a relatively new concept, and is not yet well understood. In
the light of the findings, in order to achieve the purpose of the paper,
the following suggestions were made for the enhancement of
disability DM in the banking sector in KSA. A change in attitudes
towards disabled people is necessary. Such a change in the workplace
can only be achieved if a top-down approach is taken to the
integration of disabled people. Hence, it is suggested that
management and employees follow a course in disability awareness.
Further, a diversity officer in the HR department could enhance the
integration of disabled people into the banking workforce. It is also
suggested that greater government support is required through closely
monitored and enforced anti-discrimination legislation. Moreover,
flexible working arrangements such as part-time work would
facilitate the employment of disabled people and benefit other groups
of employees.
Abstract: This study discovers a novel framework of individual
level technology adoption known as I-P (Individual- Privacy) towards
health information application in Smart National Identity Card. Many
countries introduced smart national identity card (SNIC) with various
applications such as health information application embedded inside
it. However, the degree to which citizens accept and use some of the
embedded applications in smart national identity remains unknown to
many governments and application providers as well. Moreover, the
factors of trust, perceived risk, Privacy concern and perceived
credibility need to be incorporated into more comprehensive models
such as extended Unified Theory of Acceptance and Use of
Technology known as UTAUT2. UTAUT2 is a mainly widespread
and leading theory up to now. This research identifies factors
affecting the citizens’ behavioural intention to use health information
application embedded in SNIC and extends better understanding on
the relevant factors that the government and the application providers
would need to consider in predicting citizens’ new technology
acceptance in the future. We propose a conceptual framework by
combining the UTAUT2 and Privacy Calculus Model constructs and
also adding perceived credibility as a new variable. The proposed
framework may provide assistance to any government planning,
decision, and policy makers involving e-government projects.
Empirical study may be conducted in the future to provide proof and
empirically validate this I-P framework.
Abstract: Recently, an increasing number of researchers have
been focusing on working out realistic solutions to sustainability
problems. As sustainability issues gain higher importance for
organisations, the management of such decisions becomes critical.
Knowledge representation is a fundamental issue of complex
knowledge based systems. Many types of sustainability problems
would benefit from models based on experts’ knowledge. Cognitive
maps have been used for analyzing and aiding decision making. A
cognitive map can be made of almost any system or problem. A
fuzzy cognitive map (FCM) can successfully represent knowledge
and human experience, introducing concepts to represent the essential
elements and the cause and effect relationships among the concepts to
model the behaviour of any system. Integrated waste management
systems (IWMS) are complex systems that can be decomposed to
non-related and related subsystems and elements, where many factors
have to be taken into consideration that may be complementary,
contradictory, and competitive; these factors influence each other and
determine the overall decision process of the system. The goal of the
present paper is to construct an efficient IWMS which considers
various factors. The authors’ intention is to propose an expert based
system design approach for implementing expert decision support in
the area of IWMSs and introduces an appropriate methodology for
the development and analysis of group FCM. A framework for such a
methodology consisting of the development and application phases is
presented.
Abstract: The study was conducted to produce case studies from
the Malaysian public universities stands point East Coast of
Malaysia. The aim of this study is to analyze the effects of
knowledge management on human capital toward organizational
innovation. The focus point of this study is on the management
member in the faculties of these three Malaysian Public Universities
in the East Coast state of Peninsular Malaysia. In this case,
respondents who agreed to further participate in the research will be
invited to a one-hour face-to-face semi-structured, in-depth interview.
As a result, the sample size for this study was 3 deans of Faculty of
Management. Lastly, this study tries to recommend the framework of
organizational innovation in Malaysian Public Universities.
Abstract: In MANET, mobile nodes communicate with each
other using the wireless channel where transmission takes place with
significant interference. The wireless medium used in MANET is a
shared resource used by all the nodes available in MANET. Packet
reserving is one important resource management scheme which
controls the allocation of bandwidth among multiple flows through
node cooperation in MANET. This paper proposes packet reserving
and clogging control via Routing Aware Packet Reserving (RAPR)
framework in MANET. It mainly focuses the end-to-end routing
condition with maximal throughput. RAPR is complimentary system
where the packet reserving utilizes local routing information
available in each node. Path setup in RAPR estimates the security
level of the system, and symbolizes the end-to-end routing by
controlling the clogging. RAPR reaches the packet to the destination
with high probability ratio and minimal delay count. The standard
performance measures such as network security level,
communication overhead, end-to-end throughput, resource utilization
efficiency and delay measure are considered in this work. The results
reveals that the proposed packet reservation and clogging control via
Routing Aware Packet Reserving (RAPR) framework performs well
for the above said performance measures compare to the existing
methods.
Abstract: Web-based Cognitive Writing Instruction (WeCWI) is
a hybrid e-framework for the development of a web-based instruction
(WBI), which contributes towards instructional design and language
development. WeCWI divides its contribution in instructional design
into macro and micro perspectives. In macro perspective, being a 21st
century educator by disseminating knowledge and sharing ideas with
the in-class and global learners is initiated. By leveraging the virtue
of technology, WeCWI aims to transform an educator into an
aggregator, curator, publisher, social networker and ultimately, a
web-based instructor. Since the most notable contribution of
integrating technology is being a tool of teaching as well as a
stimulus for learning, WeCWI focuses on the use of contemporary
web tools based on the multiple roles played by the 21st century
educator. The micro perspective in instructional design draws
attention to the pedagogical approaches focusing on three main
aspects: reading, discussion, and writing. With the effective use of
pedagogical approaches through free reading and enterprises,
technology adds new dimensions and expands the boundaries of
learning capacity. Lastly, WeCWI also imparts the fundamental
theories and models for web-based instructors’ awareness such as
interactionist theory, cognitive information processing (CIP) theory,
computer-mediated communication (CMC), e-learning interactionalbased
model, inquiry models, sensory mind model, and leaning styles
model.
Abstract: The fundamental issues in ICT Governance (ICTG)
implementation for Malaysian Public Sector (MPS) is how ICT be
applied to support improvements in productivity, management
effectiveness and the quality of services offered to its citizens. Our
main concern is to develop and adopt a common definition and
framework to illustrate how ICTG can be used to better align ICT
with government’s operations and strategic focus. In particular, we
want to identify and categorize factors that drive a successful ICTG
process. This paper presents the results of an exploratory study to
identify, validate and refine such Critical Success Factors (CSFs) and
confirmed seven CSFs and nineteen sub-factors as influential factors
that fit MPS after further validated and refined. The Delphi method
applied in validation and refining process before being endorsed as
appropriate for MPS. The identified CSFs reflect the focus areas that
need to be considered strategically to strengthen ICT Governance
implementation and ensure business success.
Abstract: Recent perceived climate variability raises concerns
with unprecedented hydrological phenomena and extremes.
Distribution and circulation of the waters of the Earth become
increasingly difficult to determine because of additional uncertainty
related to anthropogenic emissions. The world wide observed
changes in the large-scale hydrological cycle have been related to an
increase in the observed temperature over several decades. Although
the effect of change in climate on hydrology provides a general
picture of possible hydrological global change, new tools and
frameworks for modelling hydrological series with nonstationary
characteristics at finer scales, are required for assessing climate
change impacts. Of the downscaling techniques, dynamic
downscaling is usually based on the use of Regional Climate Models
(RCMs), which generate finer resolution output based on atmospheric
physics over a region using General Circulation Model (GCM) fields
as boundary conditions. However, RCMs are not expected to capture
the observed spatial precipitation extremes at a fine cell scale or at a
basin scale. Statistical downscaling derives a statistical or empirical
relationship between the variables simulated by the GCMs, called
predictors, and station-scale hydrologic variables, called predictands.
The main focus of the paper is on the need for using statistical
downscaling techniques for projection of local hydrometeorological
variables under climate change scenarios. The projections can be then
served as a means of input source to various hydrologic models to
obtain streamflow, evapotranspiration, soil moisture and other
hydrological variables of interest.
Abstract: The emergence of the Semantic Web technology
increases day by day due to the rapid growth of multiple web pages.
Many standard formats are available to store the semantic web data.
The most popular format is the Resource Description Framework
(RDF). Querying large RDF graphs becomes a tedious procedure
with a vast increase in the amount of data. The problem of query
optimization becomes an issue in querying large RDF graphs.
Choosing the best query plan reduces the amount of query execution
time. To address this problem, nature inspired algorithms can be used
as an alternative to the traditional query optimization techniques. In
this research, the optimal query plan is generated by the proposed
SAPSO algorithm which is a hybrid of Simulated Annealing (SA)
and Particle Swarm Optimization (PSO) algorithms. The proposed
SAPSO algorithm has the ability to find the local optimistic result
and it avoids the problem of local minimum. Experiments were
performed on different datasets by changing the number of predicates
and the amount of data. The proposed algorithm gives improved
results compared to existing algorithms in terms of query execution
time.
Abstract: Thermal insulation materials based on natural fibers
represent a very promising area of materials based on natural easy
renewable row sources. These materials may be in terms of the
properties of most competing synthetic insulations, but show
somewhat higher moisture sensitivity and thermal insulation
properties are strongly influenced by the density and orientation of
fibers. The paper described the problem of hygrothermal behavior of
thermal insulation materials based on natural plant and animal fibers.
This is especially the dependence of the thermal properties of these
materials on the type of fiber, bulk density, temperature, moisture and
the fiber orientation.
Abstract: In this paper, we present a new maintenance model
for a partially observable system subject to two failure modes,
namely a catastrophic failure and a failure due to the system
degradation. The system is subject to condition monitoring and the
degradation process is described by a hidden Markov model. A
cost-optimal Bayesian control policy is developed for maintaining
the system. The control problem is formulated in the semi-Markov
decision process framework. An effective computational algorithm is
developed, illustrated by a numerical example.
Abstract: Decision making is a vital part of the business world
and any other field of human endeavor. Which way a business
organization will take, and where that way will lead it, depends on
broad range of decisions made by managers in the managerial
structure. Strategic decisions are of the greatest importance for
organizational success. Although much empirical research has been
done trying to describe and explain its nature and effectiveness,
knowledge about strategic decision making is still incomplete. This
paper explores the nature of strategic decision making in particular
setting - in Croatian companies. The main focus of this research is on
the style that decision makers on strategic management level are
following when making decisions of life importance for their
companies. Two main decision making style that explain the way
decision maker collects and processes available information and
performs all the activities in strategic decision making process were
empirical tested: rational and intuitive one. Besides analyzing their
existence on strategic management level in Croatian companies, their
effectiveness is analyzed as well. Results showed that decision
makers at strategic management level are following both styles
somewhat equally in order to function effectively, and that intuitive
style is more effective when considering decisions outcomes.
Abstract: Mostly of public financing programs at national and regional level are funded from European Union sources. EU can participate directly to a national and regional program (example LEADER initiative, URBAN…) or indirectly by funding regional or national funds.Funds from European Union are provided from EU multiannual financial framework form which the annual budget is programmed. The adjusted program 2007-2013 of the EU considered commitments of almost 1 trillion Euros for the EU-28 countries. Provisions of the new program 2014-2020 consider commitments of more than 1 trillion Euros. Sustainable growth, divided to Cohesion and Competitiveness for Growth an Employment, is one of the two principal categories; the other is the preservation and management of natural resources.Through this financing process SMEs benefited of EU and public sources by receiving grants for their investments. Most of the financial instruments are available indirectly through the national financial intermediaries. Part of them is managed by the European Investment Fund.The paper focuses on the public financing to SMEs by examining case studies on divers forms of public help. It tries to distinguish the efficiency of the examined good practices and therefore try to have some conclusions on the possibility of application to other regions.
Abstract: Recently there has been a dramatic proliferation in
the number of social networking sites (SNSs) users; however, little
is published about what motivates college students to use SNSs in
education. The main goal of this research is to explore the college
students’ motives for using SNSs in education. A conceptual
framework has therefore been developed to identify the main
factors that influence/motivate students to use social networking
sites for learning purposes. To achieve the research objectives a
quantitative method was used to collect data. A questionnaire has
been distributed amongst college students. The results reveal that
social influence, perceived enjoyment, institute regulation,
perceived usefulness, ranking up-lift, attractiveness,
communication tools, free of charge, sharing material and course
nature all play an important role in the motivation of college
students to use SNSs for learning purposes.
Abstract: In this study, too, an attempt was made to reveal the
place and effects of information technologies on the lives and
education of gifted children based on the views of gifted. To this end,
the effects of information technologies on gifted are general skills,
technology use, academic and social skills, and cooperative and
personal skills were investigated. These skills were explored
depending on whether or not gifted had their own computers, had
internet connection at home, or how often they use the internet,
average time period they spent at the computer, how often they
played computer games and their use of social media.
The study was conducted using the screening model with a
quantitative approach. The sample of the study consisted of 129
gifted attending 5-12th classes in 12 provinces in different regions of
Turkey. 64 of the participants were female while 65 were male. The
research data were collected using the using computer of gifted and
information technologies (UCIT) questionnaire which was developed
by the researchers and given its final form after receiving expert
view.
As a result of the study, it was found that UCIT use improved
foreign language speaking skills of gifted, enabled them to get to
know and understand different cultures, and made use of computer
and information technologies while they study. At the end of the
study these result were obtained: Gifted have positive idea using
computer and communication technology. There are differences
whether using the internet about the ideas UCIT. But there are not
differences whether having computer, inhabited city, grade level,
having internet at home, daily and weekly internet usage durations,
playing the computer and internet game, having Facebook and
Twitter account about the UCIT.
UCIT contribute to the development of gifted vocabulary, allows
knowing and understand different cultures, developing foreign
language speaking skills, gifted do not give up computer when they
do their homework, improve their reading, listening, understanding
and writing skills in a foreign language.
Gifted children want to have transition to the use of tablets in
education. They think UCIT facilitates doing their homework,
contributes learning more information in a shorter time. They'd like
to use computer-assisted instruction programs at courses. They think
they will be more successful in the future if their computer skills are
good. But gifted students prefer teacher instead of teaching with
computers and they said that learning can be run from home without
going to school.
Abstract: As a developing country, The Kingdom of Saudi Arabia (KSA) needs to make the best possible use of its workforce for social and economic reasons. The workforce is diverse, calling for appropriate diversity management (DM). The thesis focuses on the banking sector in KSA. To date, there have been no studies on DM in the banking sector in this country. Many organizations have introduced specific policies and programmes to improve the recruitment, inclusion, promotion, and retention of diverse employees, in addition to the legal requirements existing in many countries. However, Western-centric models of DM may not be applicable, at least not in their entirety, in other regions.
The aim of the study is to devise a framework for understanding gender, age and disability DM in the banking sector in KSA in order to enhance DM in this sector. A sample of 24 managers, 2 from each of the 12 banks, was interviewed to obtain their views on DM in the banking sector in KSA. Thematic analysis was used to analyze the data. These themes were used to develop the questionnaire, which was administered to 10 managers in each of the 12 banks. After analysis of these data, and completion of the study, the research will make a theoretical contribution to the knowledge on DM and a practical contribution to the management of diversity in Saudi banks. This paper concerns a work in progress.
Abstract: Both knowledge economy and sustainable development are considered key dimensions in the policy action lines of many developed and developing countries. In this context, universities and other higher education institutes have a vital role in developing and sustaining wellbeing communities.
In this paper, the authors’ aim is to address the links between the concepts of innovation and entrepreneurial capacity and knowledge economy, and to utilize the approach of intellectual capital development in building a sustainable knowledge economy.
The paper will contribute to two discourses:
Developing a common understanding of the intersection aspects between the three concepts: Knowledge economy, Innovation and entrepreneurial system, and sustainable development.
Paving the road towards developing an integrated multidimensional framework for sustainable knowledge economy.
Abstract: Various biomass based resources, which can be used
as an extender, or a complete substitute of diesel fuel may have very
significant role in the development of agriculture, industrial and
transport sectors in the energy crisis. Use of Karanja oil methyl ester
biodiesel in a CI DI engine was found highly compatible with engine
performance along with lower exhaust emission as compared to
diesel fuel but with slightly higher NOx emission and low wear
characteristics. The combustion related properties of vegetable oils
are somewhat similar to diesel oil. Neat vegetable oils or their blends
with diesel, however, pose various long-term problems in
compression ignition engines. These undesirable features of
vegetable oils are because of their inherent properties like high
viscosity, low volatility, and polyunsaturated character. Pongamia
methyl ester (PME) was prepared by transesterification process using
methanol for long term engine operations. The physical and
combustion-related properties of the fuels thus developed were found
to be closer to that of the diesel. A neat biodiesel (PME) was selected
as a fuel for the tribological study of biofuels.
Two similar new engines were completely disassembled and
subjected to dimensioning of various vital moving parts and then
subjected to long-term endurance tests on neat biodiesel and diesel
respectively. After completion of the test, both the engines were
again disassembled for physical inspection and wear measurement of
various vital parts. The lubricating oil samples drawn from both
engines were subjected to atomic absorption spectroscopy (AAS) for
measurement of various wear metal traces present. The additional
lubricating property of biodiesel fuel due to higher viscosity as
compared to diesel fuel resulted in lower wear of moving parts and
thus improved the engine durability with a bio-diesel fuel. Results
reported from AAS tests confirmed substantially lower wear and thus
improved life for biodiesel operated engines.
Abstract: A forecasting model for steel demand uncertainty in Thailand is proposed. It consists of trend, autocorrelation, and outliers in a hierarchical Bayesian frame work. The proposed model uses a cumulative Weibull distribution function, latent first-order autocorrelation, and binary selection, to account for trend, time-varying autocorrelation, and outliers, respectively. The Gibbs sampling Markov Chain Monte Carlo (MCMC) is used for parameter estimation. The proposed model is applied to steel demand index data in Thailand. The root mean square error (RMSE), mean absolute percentage error (MAPE), and mean absolute error (MAE) criteria are used for model comparison. The study reveals that the proposed model is more appropriate than the exponential smoothing method.