International Journal of Bank Marketing,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 7, 2025
Purpose
AI
technology
is
now
intensively
used
by
banks
to
create
value
for
bank
customers.
Therefore,
this
study
endeavors
synthesize
and
track
a
decade
of
research
emphasizing
co-creation
in
the
banking
sector.
Design/methodology/approach
A
bibliometric
analysis
published
between
2013
2023
was
conducted
based
on
data
obtained
from
Scopus,
yielding
sample
41
papers
further
analysis.
Performance
science
mapping
are
as
roots
using
VOSviewer
software
Biblioshiny
package.
The
incorporated
with
literature
review.
Findings
contribution
theoretical
foundation
sector
were
outlined.
In
addition,
thematic
structure,
which
beneficial
uncovering
gap,
analyzed.
Moreover,
systematic
review
helped
clarify
clusters’
content
emerging
Research
limitations/implications
By
investigating
“who,”
“what,”
“where,”
“when”
“how”
sector,
contributes
theory
practice
advancing
understanding
underlying
topic.
Practical
implications
findings
benefit
marketers
policymakers
effectively
use
facilitate
Originality/value
This
paper
pioneering
thus
has
potential
provide
valuable
insights
scholars
decision-makers
banks.
Current Issues in Tourism,
Journal Year:
2023,
Volume and Issue:
27(23), P. 4165 - 4184
Published: Dec. 5, 2023
This
study
examines
the
impact
of
anthropomorphic
chatbots
and
virtual
reality
experiences
on
brand
experience
online
travel
agencies.
The
targeted
three
different
agencies
(OTAs)
collected
data
from
participants
who
had
using
OTA
chatbots;
a
total
449
tourists
filled
in
questionnaire
about
their
chatbot
experience.
results
showed
that
perceived
anthropomorphism
technology
affects
functional
benefits
tourism
products.
Stickiness
trustworthiness
supplement
role
parasocial
relationships
such
agencies'
service
strategies.
Marketers'
use
also
encourages
understanding
regular
tourists'
anthropomorphism.
Our
rational
analysis
emotional
interaction
design
revealed
chatbots'
trustworthiness,
thus
influencing
sensory
Journal of Computer Information Systems,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 13
Published: Jan. 19, 2024
Financial
Services
(FS)
and
its
integration
of
Artificial
Intelligence
(AI)
has
led
to
an
improvement
in
various
aspects
the
field,
such
as
fraud
detection,
investment
performance,
risk
management.
With
a
focus
on
investment,
insurance,
banking
industries,
this
study
implements
Bibliometric
Analysis
(BA)
by
extensively
analyzing
existing
works
literature
field
which
provides
overview
roles
AI
FS.
In
achieving
comprehensive
objectives
study,
articles
published
Clarivate
Web
Science
(WoS)
database
from
1989
2023
were
collected
analyzed
using
CiteSpace
VOS
Viewer
software
applications.
The
results
BA
show
growth
interest
rate
scholars'
have
toward
role
One
recommendations
is
human
expertise
financial
decision
making.
International Journal of Bank Marketing,
Journal Year:
2024,
Volume and Issue:
42(7), P. 2143 - 2176
Published: July 18, 2024
Purpose
The
purpose
of
this
study
is
to
examine
the
acceptance
artificial
intelligence
devices
(AIDs)
by
customers
in
banking
service
encounters
using
Artificially
Intelligent
Device
Use
Acceptance
(AIDUA)
model
and
thus
test
validity
AIDUA
context
sector
as
well
extending
incorporating
two
moderator
variables,
namely
technology
anxiety
risk
aversion
regarding
nature
services,
which
are
considered
highly
risky
technology-intensive.
Design/methodology/approach
About
575
valid
face-to-face
self-administered
surveys
were
gathered
convenience
sampling
among
real
bank
Turkey.
structural
equation
modelling
was
used
hypotheses
involving
both
direct
moderation
effects.
Findings
current
has
demonstrated
that
reliable
for
AIDs
modifying
it.
results
have
shown
process
consists
three
phases.
Furthermore,
study’s
findings
adverse
effects
on
relationship
between
performance
expectancy
emotion
willingness
accept
AIDs,
respectively.
Originality/value
validates
industry.
In
addition,
present
unique
compared
other
studies
conducted
literature
since
it
applies
setting
services
first
time
considering
potential
moderators.
Systems,
Journal Year:
2025,
Volume and Issue:
13(4), P. 264 - 264
Published: April 8, 2025
This
review
synthesizes
current
knowledge
on
the
transformative
impacts
of
artificial
intelligence
(AI)—computational
systems
capable
performing
tasks
requiring
human-like
reasoning—on
business
innovation.
It
addresses
potential
AI
to
reshape
strategies,
operations,
and
value
creation
across
various
industries.
Key
themes
include
AI-driven
model
innovation,
human–AI
collaboration,
ethical
governance,
operational
efficiency,
customer
experience
personalization,
organizational
capability
development,
adoption
disparities.
enables
scalable
product
personalized
service
delivery,
data-driven
strategic
decisions.
Successful
implementations
hinge
overcoming
technical,
cultural,
barriers,
with
enhancing
consumer
trust
competitiveness,
positioning
responsible
innovation
as
a
imperative.
For
practitioners,
this
offers
evidence-based
frameworks
for
aligning
objectives.
academics,
it
identifies
research
frontiers,
including
longitudinal
impacts,
context-specific
roadmaps
small-
medium-sized
enterprises,
sustainable
pathways.
conceptualizes
driver
systemic
transformation,
continuous
learning,
foresight,
ability
competitive
advantage.
Pakistan Journal of Humanities and Social Sciences,
Journal Year:
2023,
Volume and Issue:
11(2)
Published: June 1, 2023
This
article
has
explored
the
significance
of
artificial
intelligence
in
business
management
and
accounting
over
a
period
15
years
from
“2008
to
2022”.
Artificial
Intelligence
is
an
emerging
field
study
for
students
it
playing
pivotal
role
courses
accounting.
guides
using
new
innovations,
techniques,
methods,
software’s
etc.
which
are
extremely
helpful
our
daily
tasks.
A
scientometric
approach
used
analyse
statistical-historical
The
data
taken
renowned
important
base
“Scopus”.
sample
comprises
1608
documents
covers
Business
Accounting.
Secondary
were
440,652
with
keyword
“Artificial
Intelligence”.
To
find
out
quality
results,
this
uses
different
statistical
like
R-tool,
R-Package,
Bibliometrix,
VOSviewer,
Biblioshiny.
findings
show
result
top
countries
that
have
worked
on
intelligence.
USA
rank
all
world
research
work
publication
88,679.
USA,
China,
UK,
India
Germany
five
most
prominent
struggling
“artificial
intelligence”
respectively.
Artificial
intelligence
(AI)
is
changing
employment
and
workforce
dynamics
worldwide,
creating
opportunities
challenges
with
far-reaching
socioeconomic
effects.
This
paper
analyzes
AI's
dual
impact
on
employment,
including
job
displacement,
new
roles,
redefinition.
As
automation
machine
learning
become
more
common,
AI
taking
over
routine
tasks
in
manufacturing,
retail,
customer
service,
threatening
losses.
also
opens
up
fields
like
data
science,
cybersecurity,
ethics,
requiring
skills
advanced
training
development.
Reskilling
upskilling
the
to
close
gap
improve
adaptability
essential
for
AI-driven
transformation.
To
adapt
landscape,
governments,
educational
institutions,
private
companies
must
invest
examines
adoption's
effects
income
inequality,
polarization,
work-life
balance.
can
boost
economic
growth
productivity,
but
its
equitable
integration
requires
ethical,
regulatory,
social
policies
protect
vulnerable
populations.
seeks
help
policymakers,
business
leaders,
educators
navigate
complex
intersection
of
AI,
development
through
nuanced
analysis.
Society
5.0
vision
aims
to
harmonize
the
physical
and
digital
realms
improve
human
well-being
through
advanced
technology
AI.
AI
can
automate,
provide
data-driven
insights,
decision-making,
but
it
also
raises
ethical
issues.
Privacy
risks,
bias
in
algorithms,
agency
loss
damage
trust
social
cohesion.
The
widespread
use
of
requires
a
reassessment
data
governance
models
prioritize
transparency,
accountability,
security
protect
individual
rights.
Ethical
frameworks
for
design,
deployment,
oversight
are
needed
address
algorithmic
discrimination
surveillance
will
change
workforce,
values,
socioeconomic
inequality
if
not
managed
inclusively.
This
paper
proposes
human-centered
approach
that
integrates
technology,
law,
philosophy
promote
responsible
development.
As
evolves,
proactive
policies
international
cooperation
ensure
advances
benefit
society
without
compromising
ethics
or
dignity.
SSRN Electronic Journal,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 1, 2025
The
emergence
of
AI
and
its
transformational
potential
in
the
banking
domain
has
been
a
focus
great
interest
recent
years,
particularly
with
respect
to
financial
landscape
developing
nation
like
India.
objective
this
paper
is
study
evolution
track
depth
impacts
Indian
Banking
–
adoption,
significance,
challenges
case
studies
implementation.
This
section
introduces
definition
how
it
contributed
restructuring
modern
businesses,
context
sector
services.
With
digital
technologies
marching
on,
new
era
already
begun
take
off
baking
sector-which
replaced
age-old
practices
automated,
tech-led
practices.
Artificial
Intelligence
(AI)
as
hands-on
technology
contributes
various
sectors
regulatory
compliance,
systematized
fraud
detection,
prudent
risk
management,
improved
user
experiences.
cites
that
enumerate
benefits
related
implementation
detail.
are
mile
wide,
include
everything
from
sophisticated
evaluations
preventative
actions
enhanced
service
client.
Data
theft
privacy
concerns,
job
displacement
some
stimulate
essential
debates
about
usefulness
AI.
also
attempts
comprehensive
discussion
influencing
across
different
facets
process-
approach
customer
relationship.
Transformation:
transformed
Risk
Management
(risk
management
detection
measures),
CAUTION
(efficiency,
automation
accuracy)
UX
(personalisation
or
customisation
products
services).
Moreover,
successful
demonstrated
which
provide
critical
explanation
transformative
impact
operations
e.g.:
personalized
State
Bank
India-
powered
chatbots
Better
processes
experience
strong
argument
supporting
need
for
banking.
Wrapping
up,
enough
covered
show
scope
barriers
deploying
Sector
It
emphasises
address
matters
such
data
privacy,
security
challenges,
legal
compliance
generative
Innovativeness
is
an
integral
feature
of
the
modern
economy,
particularly
in
banking
sector.
The
authors
this
article
aimed
to
identify
potential
scenarios
for
transformation
system
under
influence
innovations
and
increased
competition
from
fintech
organizations.
They
sought
explore
components
market
mechanism
self-
regulation
innovative
activities
commercial
banks,
tools
methods
state
on
these
processes,
and,
based
a
study
global
experience,
justify
proposals
intensifying
introduction
by
banks
Ukraine.
examined
five
possible
Ukraine’s
system:
(1)
modernization
existing
using
latest
technologies,
allowing
them
maintain
relationships
with
clients;
(2)
replacement
traditional
new
(neo-banks)
that
operate
different
business
model;
(3)
fragmentation
financial
services
between
specialized
companies
banks;
(4)
being
pushed
out
direct
client
becoming
service
providers;
(5)
complete
displacement
replaced
other
structures.
analysis
transformations
revealed
elements
each
without
dominance
any
single
one.
Fintech
according
“niche”
principle,
targeting
untapped
segments,
services,
or
technologies
effort
succeed.
Banks,
contrast,
tend
be
more
conservative,
result
greater
governing
their
activities.
However,
development
payment
systems
Ukraine
demonstrated
initially
dominated
sector
until
large
entered
displaced
players.
In
reality,
have
resources
(both
organizational)
introduce
certain
products
technologies.
successful
implementation
will
depend
largely
interplay
self-regulation
regulation.
Following
principles
outlined
research
innovation
policy
enhance
its
effectiveness
facilitate
integration
into
European
markets.
