Where are the processes in IS research on digital transformation? A critical literature review and future research directions
The Journal of Strategic Information Systems,
Год журнала:
2025,
Номер
34(2), С. 101900 - 101900
Опубликована: Апрель 8, 2025
Язык: Английский
The impact of financial technology (FinTech) on improving financial performance: The case of commercial banks in Jordan
International Journal of ADVANCED AND APPLIED SCIENCES,
Год журнала:
2025,
Номер
12(3), С. 28 - 37
Опубликована: Март 1, 2025
This
study
explores
the
main
financial
technologies
adopted
by
banks
to
improve
their
performance.
The
research
sample
includes
301
participants
from
commercial
listed
on
Amman
Stock
Exchange
(ASE).
Financial
performance
is
considered
dependent
variable,
while
technology
(FinTech)
independent
variable.
Multiple
linear
regression
analysis
will
be
used
test
hypotheses.
findings
indicate
that
FinTech
contributes
higher
net
income
and
total
deposits.
suggests
should
adopt
inclusive
approaches
promote
sustainable
development.
Язык: Английский
A knowledge-centric model for government-orchestrated digital transformation among the microbusiness sector
The Journal of Strategic Information Systems,
Год журнала:
2024,
Номер
34(1), С. 101870 - 101870
Опубликована: Ноя. 11, 2024
Язык: Английский
Frugal innovation in the business environment: a literature review and future perspectives
Frontiers in Artificial Intelligence,
Год журнала:
2024,
Номер
7
Опубликована: Дек. 6, 2024
This
research
aims
to
explore
the
growing
field
of
frugal
innovation
within
business
environment,
particularly
its
intersection
with
sustainability
and
artificial
intelligence.
Язык: Английский
Research on the impact of enterprise digital transformation based on digital twin technology on renewable energy investment decisions
Energy Informatics,
Год журнала:
2024,
Номер
7(1)
Опубликована: Дек. 30, 2024
In
the
context
of
global
climate
change
and
sustainable
development,
enterprise
digital
transformation
has
become
key
to
improving
efficiency
competitiveness.
Digital
twin
technology,
as
an
emerging
tool,
enables
real-time
monitoring,
prediction,
optimization
by
creating
dynamic
virtual
models
real-world
processes.
This
paper
explores
impact
twin-based
on
renewable
energy
investment
decisions.
Through
empirical
analysis
over
200
companies
globally,
study
finds
that
using
technology
exhibit
higher
accuracy
in
These
show
improved
forecasting
consumption
returns,
gaining
a
competitive
edge.
On
average,
these
experience
15%
ROI
increase
for
their
investments
enjoy
20%
acceleration
decision-making
process.
Furthermore,
delves
into
how
adoption
differs
across
various
company
sizes
industries,
providing
actionable
insights
guidance
enterprises
embarking
journey.
Язык: Английский
Transforming Financial Services With Artificial Intelligence and Machine Learning
Advances in finance, accounting, and economics book series,
Год журнала:
2024,
Номер
unknown, С. 129 - 148
Опубликована: Дек. 13, 2024
In
modern
dynamic
business
environments,
the
integration
of
machine
learning
(ML)
and
artificial
intelligence
(AI)
into
financial
services
investment
decisions
has
significantly
reshaped
landscape.
This
comprehensive
literature
review
explores
AI
tools,
including
predictive
analytics,
algorithmic
trading,
robo-advisors,
enable
data-driven
insights
real-time
automation
strategies
fundamentals.
Additionally,
it
was
highlighted
that
these
technologies
enhance
accuracy,
speed,
scalability
decision-making
in
asset
management,
risk
modeling,
portfolio
optimization
considering
uncertainty
organization's
environment.
However,
their
application
also
presents
challenges,
such
as
data
privacy
concerns,
biases,
regulatory
compliance
issues.
paper
transformative
impact
ML
analysis
while
addressing
risks
ethical
considerations
accompany
use.
Understanding
tools'
potential
limitations
is
crucial
for
optimizing
strategies.
Язык: Английский