Rozvoj
digitálních
technologií
vzbuzuje
rostoucí
zájem
mezi
výzkumnými
pracovníky,
studenty,
manažery,
odbornou
i
laickou
veřejností.
Tato
studie
slouží
jako
předběžná
a
průzkumná
kompilace
odborných
textů
zaměřených
na
možnosti
využití
umělé
inteligence
v
různých
oblastech
managementu,
včetně
vzdělávání.
Aplikace
se
podnikovém
managementu
ve
vzdělávání
dynamickém
digitálním
věku
celosvětově
značně
rozšířila
zvýšila.
Systematizovaný
přehled
především
aktuální
literatury
uplatňuje
smíšený,
kvantitativní
kvalitativní
přístup
využívající
různá
výzkumná
paradigmata.
Syntetizuje
poznatky
z
92
zdrojů,
přehledových
článků
poskytuje
holistický
pohled
efektivitu
potenciál
AI
nejenom
vzdělávacím
kontextu.
Diskutuje
trendy,
ale
rizika
Aplikační
část
textu
uvádí
příklady
s
tématikou
ilustrující
multidisciplinaritu
tématu
množství
stakeholderů,
kteří
jsou
ovlivnění
nebo
ji
sami
ovlivňují.
Představují
náměty,
příležitosti
výzvy
pro
VŠFS,
a.s.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: April 2, 2024
Abstract
The
rapid
proliferation
and
integration
of
AI
chatbots
in
office
environments,
specifically
the
advanced
model
ChatGPT,
prompts
an
examination
how
its
features
updates
impact
knowledge
processes,
satisfaction,
word-of-mouth
(WOM)
among
workers.
This
study
investigates
determinants
WOM
workers
who
are
users
ChatGPT.
We
adopted
a
quantitative
approach,
utilizing
stratified
random
sampling
technique
to
collect
data
from
diverse
group
experienced
using
hypotheses
were
rigorously
tested
through
Structural
Equation
Modeling
(SEM)
SmartPLS
4.
results
revealed
that
system
updates,
memorability,
non-language
barrier
attributes
ChatGPT
significantly
enhanced
acquisition
application.
Additionally,
human-like
personality
traits
increased
both
utilitarian
value
satisfaction.
Furthermore,
showed
application
led
significant
increase
which
subsequently
WOM.
Age
had
positive
influence
on
WOM,
while
gender
no
impact.
findings
provide
theoretical
contributions
by
expanding
our
understanding
chatbots'
role
particularly
Information,
Journal Year:
2025,
Volume and Issue:
16(1), P. 51 - 51
Published: Jan. 15, 2025
This
paper
examines
the
key
factors
recognized
as
transformative
in
field
of
human
resource
management
(HRM)
and
explores
their
influence
on
global
adoption
artificial
intelligence
(AI).
While
AI
holds
significant
promise
for
enhancing
HRM
efficiency,
employee
engagement,
Decision
Making,
its
implementation
presents
a
range
organizational,
technical,
ethical
challenges
that
organizations
worldwide
must
navigate.
Change
aversion,
data
security
worries,
integration
expenses
are
major
roadblocks,
but
strong
digital
leadership,
company
culture,
advancements
NLP
machine
learning
enablers.
complex
analysis
questions
common
perception
only
disruptive
by
delving
into
relationship
between
power
dynamics,
corporate
technology
infrastructures.
In
this
paper,
we
bring
together
research
from
several
fields
to
help
scholars
practitioners
understand
nuances
HRM,
with
an
emphasis
importance
inclusive
methods
frameworks.
Information,
Journal Year:
2023,
Volume and Issue:
14(5), P. 295 - 295
Published: May 17, 2023
Blockchain
is
the
foundation
of
all
cryptocurrencies,
while
machine
learning
(ML)
one
most
popular
technologies
with
a
wide
range
possibilities.
may
be
improved
and
made
more
effective
by
using
ML.
Even
though
blockchain
technology
uses
encryption
to
safeguard
data,
it
not
completely
reliable.
Various
elements,
including
particular
use
case,
type
legal
constraints
can
determine
whether
suitable
for
keeping
private
sensitive
data.
While
there
benefits,
important
take
into
account
possible
hazards
abide
privacy
security
laws.
The
itself
secure,
but
additional
applications
layers
are
not.
In
terms
security,
ML
aid
in
development
applications.
Therefore,
critical
investigation
required
better
understand
function
enhancing
security.
This
study
examines
current
situation,
evaluates
articles
contains,
presents
an
overview
issues.
Despite
their
existing
limitations,
papers
included
from
2012
2022
highlighted
importance
ML’s
impact
on
enhance
challenges
remain;
advances
such
as
federated
zero-knowledge
proofs
important,
future
research
should
focus
integration
other
technologies.
AI,
Journal Year:
2023,
Volume and Issue:
5(1), P. 38 - 54
Published: Dec. 20, 2023
In
recent
years,
artificial
intelligence
(AI)
has
seen
remarkable
advancements,
stretching
the
limits
of
what
is
possible
and
opening
up
new
frontiers.
This
comparative
review
investigates
evolving
landscape
AI
providing
a
thorough
exploration
innovative
techniques
that
have
shaped
field.
Beginning
with
fundamentals
AI,
including
traditional
machine
learning
transition
to
data-driven
approaches,
narrative
progresses
through
core
such
as
reinforcement
learning,
generative
adversarial
networks,
transfer
neuroevolution.
The
significance
explainable
(XAI)
emphasized
in
this
review,
which
also
explores
intersection
quantum
computing
AI.
delves
into
potential
transformative
effects
technologies
on
advancements
highlights
challenges
associated
their
integration.
Ethical
considerations
discussions
bias,
fairness,
transparency,
regulatory
frameworks,
are
addressed.
aims
contribute
deeper
understanding
rapidly
field
Reinforcement
lead
research,
growing
emphasis
transparency.
Neuroevolution
though
less
studied,
show
for
future
developments.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(17), P. 7351 - 7351
Published: Aug. 26, 2024
Digital
technologies
have
revolutionized
the
business
field,
offering
significant
opportunities
for
small
and
medium-sized
enterprises
(SMEs)
to
enhance
sustainability
value
creation.
This
study
investigates
impact
of
digital
technology
adoption
on
economic
social
creation,
as
well
SME
performance.
Specifically,
it
examines
how
media
applications,
big
data
analytics,
IoT
blockchain
AI-enabled
applications
influence
within
SMEs.
We
employed
a
hybrid
approach
integrating
Structural
Equation
Modeling
(SEM)
Artificial
Neural
Network
(ANN)
techniques
using
SmartPLs
4.0
Application;
this
research
analyzes
these
relationships.
For
our
analysis,
were
collected
from
305
managers
operating
in
Upper
Sindh,
Pakistan,
specifically
major
cities
like
Sukkur,
Larkana,
Shikarpur,
Jacobabad,
Khairpur.
The
findings
reveal
that
significantly
contribute
both
creation
Conversely,
show
no
Importantly,
positively
correlates
with
enhanced
enriches
understanding
SMEs
particularly
enhancing
Through
advanced
methodologies
rigorous
bridges
theory
practical
SMEs’
transformation.
Knowledge and Performance Management,
Journal Year:
2025,
Volume and Issue:
9(1), P. 31 - 44
Published: Jan. 14, 2025
This
study
investigates
the
impact
of
Knowledge
Management
(KM)
practices,
enhanced
by
smart
technologies,
on
organizational
performance
within
public
pharmaceutical
organizations
in
Cairo
Governorate,
Egypt.
Using
a
descriptive-analytical
approach,
targeted
employees
from
five
companies
including
Memphis
Pharmaceuticals,
Arab
Nile
and
EIPICO.
These
were
selected
based
their
listing
accessible
workforce
data.
Respondents
included
administrative
technical
staff,
ensuring
representative
sample
sector.
The
size
372
was
calculated
using
95%
confidence
level
5%
margin
error,
proportionally
distributed
across
roles.
results
reveal
that
KM
practices
significantly
enhance
operational
efficiency
foster
innovation,
with
quantitative
evidence
showing
positively
influences
(β
=
0.42,
p
<
0.01)
innovation
0.35,
0.05).
analysis
also
indicates
strategic
leadership
plays
moderating
role
relationship
between
performance.
Specifically,
moderation
effect
strengthens
(interaction
term:
β
0.18,
0.05)
0.21,
findings
underscore
critical
aligning
goals,
highlighting
potential
for
to
achieve
higher
innovation.
Organizations
operating
highly
regulated
sectors
can
drive
continuous
improvement
sustainable
outcomes
integrating
frameworks
advanced
technologies
leadership.
Acknowledgment
authors
are
thankful
Deanship
Graduate
Studies
Scientific
Research
at
University
Bisha
supporting
this
work
through
Fast-Track
Support
Program.
Vinculatégica EFAN,
Journal Year:
2025,
Volume and Issue:
11(1), P. 90 - 106
Published: Jan. 31, 2025
El
objetivo
de
esta
investigación
es
conocer
el
rol
la
inteligencia
artificial
(IA)
como
elemento
que
influye
en
productividad
laboral
los
empleados
las
organizaciones
mediante
capacitación
empleados.
Este
estudio
parte
revisión
literatura
conforma
una
enfoque
cuantitativo
alcance
descriptivo.
Se
utilizó
técnica
bibliográfica
ya
se
recabó
información
específica
del
fenómeno
diversas
fuentes
y
bases
datos
artículos
científicos
relevancia.
Según
recopilada,
propone
modelo
gráfico
hipótesis
correspondientes
relación
entre
uso
IA
usando
mediadora
capacitación,
comprobando
positiva
variables,
fundamentada
teoría
otros
estudios.
Advances in logistics, operations, and management science book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 83 - 110
Published: Feb. 7, 2025
This
chapter
focuses
on
investigating
digital
intelligence
within
supply
chain
management,
with
a
focus
economic
diversification
and
sustainability.
The
importance
of
technology
innovation
in
improving
the
efficiency
effectiveness
system
is
widely
studied
analyzed.
However,
intricated
relationships
subsequent
impact
sustainability
need
more
form
identification
key
enablers,
barriers
research
lacunas.
study
addresses
this
gap
existing
literature
by
focussing
an
extensive
scoping
review
related
to
area.
For
this,
209
documents
were
selected
reviewed
through
framework-based
process.
findings
resulted
conceptual
framework
detailing
different
aspects
topic
future
propositions
domain
IGI Global eBooks,
Journal Year:
2025,
Volume and Issue:
unknown, P. 349 - 362
Published: March 7, 2025
This
chapter
explores
the
foundational
concepts
and
importance
of
knowledge
management
(KM)
in
modern
organizations,
emphasizing
its
role
innovation,
efficiency,
competitive
advantage.
As
value
creation
shifts
from
tangible
assets
to
intangible
resources,
KM
emerges
as
a
key
discipline
for
managing
enhance
decision-making,
drive
performance,
foster
learning.
It
outlines
KM's
multidisciplinary
approach
capturing,
storing,
sharing
organizational
value.
Ethical
concerns,
such
ownership,
intellectual
property
rights,
trust,
are
highlighted,
acknowledging
complexities
responsible
KM,
especially
with
AI
integration.
The
concludes
framework
ethical
proposing
policies,
training,
monitoring
culture
accountability
transparency,
supporting
sustainable
success
positioning
essential
strategic
asset.
