Evaluating the Potential of Adapting Artificial Intelligence (AI) in Small and Medium Enterprises for Competitive Advantage
Advances in multimedia and interactive technologies book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 233 - 266
Published: Jan. 17, 2025
Small
and
medium
enterprises
(SMEs)
account
for
exceptional
difficulties
opportunities
due
to
technological
developments
that
have
reshaped
business
landscapes
in
recent
years.
The
growth
of
SMEs
through
effective
operation,
innovation,
competitiveness
the
digital
landscape
has
become
relevant
decades.
Artificial
Intelligence
(AI)
is
becoming
more
integrated
into
enhance
operational
efficiency.
This
study
explores
how
AI
automating
production
services
processes,
aiding
quick
data
analysis,
improving
decision-making
processes
operation
productivity,
customer
satisfaction,
drive
give
competitive
advantages
excel.
However,
SMEs'
adoption
not
without
challenges,
which
include
high
cost
implementation,
need
specialized
skills,
complexity
systems.
Hence,
highlights
challenges
related
SMEs,
such
as
constraints
inadequate
expertise,
scraping
strategies,
incremental
investing
employee
training,
focusing
on
personalized
experiences
overcome
these
barriers.
recommends
integrate
their
process,
predictive
analytics,
service
automation
satisfaction
revenue
generation.
Language: Английский
Overviewing Biases in Generative AI-Powered Models in the Arabic Language
Advances in computational intelligence and robotics book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 361 - 390
Published: Feb. 28, 2025
Natural
Language
Processing
(NLP)
is
an
emerging
field
often
integrated
into
Artificial
Intelligence
(AI)
technologies.
NLP
has
significantly
advanced,
leading
to
the
widespread
use
of
generative
AI-powered
(Gen-AI)
models
across
various
domains.
However,
while
Gen-AI
systems
have
been
successfully
implemented
in
several
languages,
AI-based
language
still
face
considerable
challenges
and
shortcomings,
including
generating
biases
sensitive
languages
like
Arabic.
Therefore,
primary
objective
this
chapter
provide
overview
Gen-AI-powered
context
Arabic
language,
exploring
sources
these
biases,
their
implications,
potential
strategies
for
mitigation.
The
underscore
need
ongoing
research
development
create
more
equitable
accurate
AI
systems.
By
understanding
origins
implications
implementing
effective
mitigation
strategies,
we
can
work
towards
that
better
serve
diverse
linguistic
communities.
Language: Английский
Digital Technologies Adoption in Islamic Education for Fostering Lifelong Learning Culture
Advances in multimedia and interactive technologies book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 103 - 126
Published: Jan. 17, 2025
The
21st
century
has
witnessed
the
pervasive
influence
of
digital
technologies
(DT)
in
all
aspects
life,
necessitating
transformation
educational
institutions,
including
those
with
a
religious
focus,
such
as
Islamic
education
(IE).
DTs
have
not
only
revolutionized
methods
but
also
opened
up
vast
opportunities
to
enhance
global
competitiveness
education.
This
is
pilot
survey
study
data
from
Indonesia
and
Malaysia,
where
participants'
perceptions
adoption
IE
were
quantitatively
analyzed.
findings
provide
just
theoretical
insights
strategic
for
incorporation
DT
IE,
particularly
by
considering
perceived
compatibility
self-efficacy
factors
individuals
institutions.
These
insights,
their
immediate
practical
implications,
offer
valuable
guidance
educators
policymakers
field
technology,
equipping
them
necessary
tools
navigate
Language: Английский
Overviewing the Maze of Research Integrity and False Positives Within AI-Enabled Detectors
Advances in educational technologies and instructional design book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 335 - 366
Published: Sept. 20, 2024
Academic
writing
in
the
current
times
is
significantly
different
from
what
it
was
a
decade
ago.
Most
prevalent
today's
digital
world
disruption
caused
by
Artificial
Intelligence
(AI)
tools
employed
to
assist
academic
works.
In
this
chapter,
we
overview
ongoing
trend
of
ethical
challenge
and
implications
using
AI-text
detection
systems
for
fostering
research
integrity.
Using
literature
on
topic,
chapter
has
presented
real-world
cases
where
individuals
have
complained
that
platforms
like
provided
Turnitin
flagged
(as
AI-generated)
content
edited
language
AI
assistive
Grammarly
translators.
Furthermore,
reviewing
up-to-date
empirical
studies,
an
false-positive
scenario
these
their
biases
towards
non-native
English
writers.
Finally,
provides,
besides
future
outlook
practical
implications,
including
consideration
fair
transparent
AI-based
tool
usage
policies.
Language: Английский
Perceived compatibility and students’ intention to adopt digital technologies in Islamic education institutions
Cogent Education,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: Nov. 19, 2024
Various
factors,
including
technical,
organisational,
cultural,
and
individual,
can
influence
how
people
adopt
digital
technologies
(DT).
However,
different
contexts
have
produced
similar
yet
distinct
results
when
researchers
integrated
these
various
factors
into
the
technology
acceptance
model
(TAM).
Two
critical
in
Islamic
educational
context
that
are
scarcely
addressed
literature
perceived
compatibility
(PIC)
self-efficacy
(DSE).
Therefore,
study
aspires
to
address
existing
gaps
by
examining
determinants
of
intention
accept
DT
education
integrating
a
contextual
factor
TAM.
We
used
quantitative
survey
acquire
data
from
university
students
Brunei,
sample
160
cases
was
obtained
through
Google
Forms.
Using
SEM-PLS
(structural-equation-modelling-partial
least
squares)
approach,
analysed
ADANCO
software
test
study's
seven
hypotheses.
The
were
all
hypotheses
significantly
supported,
significant
effects
both
DSE
PIC,
besides
two
TAM's
core
variables,
on
learners'
utilise
for
learning
purposes.
explained
64.3%
behavioural
intention.
findings'
implications
our
provided
theoretical
advancement
pragmatic
considerations
effective
integration
DTs
religious
non-religious
institutes.
Language: Английский
Artificial Intelligence-Enabled Cybersecurity and Internet of Things Applications in Smart Cities
Advances in civil and industrial engineering book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 301 - 334
Published: Dec. 18, 2024
The
rapid
adoption
of
Smart
Cities
(SCs)
has
increased
reliance
on
AI-based
IoT
technologies
to
enhance
smart
infrastructure
and
services,
contributing
the
UN's
sustainable
development
goals.
However,
this
integration
brings
significant
cybersecurity
(CS)
challenges,
such
as
DDoS,
MITM,
phishing,
ransomware
attacks.
This
chapter
underscores
importance
CS
in
SCs,
highlighting
vulnerabilities
risks.
It
examines
IoT's
role
SC
AI's
impact
efficiency,
various
AI
techniques
used
applications.
analyzes
cyberattacks
infrastructure,
suggesting
measures
like
protocols,
encryption,
authentication
techniques,
access
control,
incident
response.
enhances
CS,
reducing
cyber
threats
through
anomaly
detection
real-time
data
collection
for
security
solutions.
also
presents
application
case
studies
demonstrating
integration's
effectiveness
best
practices.
concludes
by
emphasizing
need
continued
research
innovation
cybersecurity.
Language: Английский
The Role of Digital Education in Overcoming the Challenges Facing the Teaching Of Islamic Culture, Perspective of Jordanian University Faculty Members
Awad Abdulraheem Awad Al Dwairi
No information about this author
Journal of Ecohumanism,
Journal Year:
2024,
Volume and Issue:
3(4), P. 3201 - 3211
Published: Aug. 27, 2024
This
research
investigates
the
problems
encountered
in
teaching
Islamic
culture
from
faculty
members'
point
of
view
within
faculties
Sharia
law
at
Jordanian
universities
and
determines
role
digital
education
solving
these
problems.
With
a
to
achieving
objectives,
questionnaire
was
designed
containing
36
items
various
fields
related
different
challenges
with
descriptive
analytical
method.
The
sample
consisted
members
Yarmouk
University,
Al-Bayt
Mu'tah
University.
Results
showed
there
were
lot
that
faced
culture,
how
is
influential
surmounting
them.
These
results
support
null
hypothesis
study,
all
face
similar
implementation
education;
therefore,
no
significant
impact
demographic
variables
such
as
gender,
department,
or
even
years
experience.
It
means
other
factors
might
be
more
conducive
facing
providing
suitable
technological
infrastructure,
technical
training
members,
development
engaging
attractive
educational
materials
compatible
requirements
culture.
Language: Английский