International Journal of Retail & Distribution Management,
Journal Year:
2023,
Volume and Issue:
51(6), P. 773 - 790
Published: March 31, 2023
Purpose
The
introduction
of
artificial
intelligence
(AI)
technology
has
had
a
substantial
influence
on
the
retail
industry.
However,
AI
adoption
entails
considerable
responsibilities
and
risks
for
senior
managers.
In
this
study,
authors
developed
an
evaluation
selection
mechanism
successful
in
multifaceted
measurement
identification
critical
factors
(CFs)
can
enable
retailers
to
adopt
effectively
maintain
sustainable
competitive
advantage.
Design/methodology/approach
organisational
involve
decision-making
management.
Therefore,
used
analytic
network
process
develop
framework
calculating
weight
importance
each
consideration.
An
expert
questionnaire
survey
was
distributed
managers
17
valid
responses
were
obtained.
Finally,
Vlse
Kriterijumska
Optimizacija
Kompromisno
Resenje
(VIKOR)
method
identify
CFs
adoption.
Findings
results
revealed
five
findings
indicated
that
after
adoption,
top
management
is
most
concerned
with
pertaining
business
performance
minor
about
internal
system's
functional
efficiency.
Retailers
pay
more
attention
organisation
context,
which
are
matters
under
retailers'
control,
than
external
uncontrollable
environmental
factors.
Originality/value
identified
terms
practical
application,
study
help
service
providers
understand
when
adopting
AI.
Moreover,
use
proposed
guide
their
technology.
Journal of Retailing,
Journal Year:
2022,
Volume and Issue:
98(2), P. 199 - 208
Published: May 9, 2022
This
manuscript
draws
attention
to
the
dawn
of
Fifth
Industrial
Revolution
(5IR)
and
highlights
its
potential
for
addressing
a
host
issues
within
retail
service
domains.
With
retailing
perspective,
authors
outline
meaning
5IR,
according
2
×
framework
that
categorizes
retailers
providers
by
their
embrace
human–machine
collaborations.
They
also
propose
an
expanded
definition
stakeholders
in
5IR
(companies,
employees,
customers,
society).
Merging
digital,
physical,
biological
technologies
promises
enhanced
well-being
societal
actors
across
board.
By
outlining
these
likely
implications
services,
this
article
establishes
roadmap
how
(r)evolution
is
progress
offers
set
key
research
questions
emerge
as
result.
Journal of Service Research,
Journal Year:
2022,
Volume and Issue:
25(4), P. 583 - 600
Published: May 24, 2022
This
research
draws
upon
the
increasing
usage
of
AI
in
service.
It
aims
at
understanding
extent
to
which
systems
have
multiple
intelligence
types
like
humans
and
if
these
arouse
different
emotions
consumers.
To
this
end,
uses
a
two-study
approach:
Study
1
builds
evaluates
scale
for
measuring
types.
2
consumers’
emotional
responses
intelligences.
The
findings
provide
measurement
evaluating
artificial
against
human
ones,
thus
showing
that
intelligences
are
configurable,
describable,
measurable
(Study
1),
influence
positive
negative
2).
also
demonstrate
consumers
display
emotions,
terms
happiness,
excitement,
enthusiasm,
pride,
inspiration,
sadness,
fear,
anger,
shame,
anxiety,
attachment,
satisfaction,
intention
when
interacting
with
Our
characteristics
while
providing
guidance
future
development
AI-based
more
similar
Technological Forecasting and Social Change,
Journal Year:
2024,
Volume and Issue:
201, P. 123247 - 123247
Published: Feb. 6, 2024
Few
studies
have
explored
the
use
of
artificial
intelligence-enabled
(AI-enabled)
large
language
models
(LLMs).
This
research
addresses
this
knowledge
gap.
It
investigates
perceptions
and
intentional
behaviors
to
utilize
AI
dialogue
systems
like
Chat
Generative
Pre-Trained
Transformer
(ChatGPT).
A
survey
questionnaire
comprising
measures
from
key
information
technology
adoption
models,
was
used
capture
quantitative
data
a
sample
654
respondents.
partial
least
squares
(PLS)
approach
assesses
constructs'
reliabilities
validities.
also
identifies
relative
strength
significance
causal
paths
in
proposed
model.
The
findings
SmartPLS4
report
that
there
are
highly
significant
effects
empirical
investigation
particularly
between
source
trustworthiness
performance
expectancy
chatbots,
as
well
perceived
interactivity
intentions
algorithm,
among
others.
In
conclusion,
contribution
puts
forward
robust
acceptance
framework
clearly
evidences
factors
entice
online
users
habitually
engage
with
text-generating
chatbot
technologies.
implies
although
they
may
be
considered
useful
interactive
for
content
creators,
is
scope
continue
improving
quality
their
responses
(in
terms
accuracy
timeliness)
reduce
misinformation,
social
biases,
hallucinations
adversarial
prompts.
Journal of Research in Interactive Marketing,
Journal Year:
2023,
Volume and Issue:
18(1), P. 54 - 90
Published: July 26, 2023
Purpose
Artificial
intelligence
(AI)
is
transforming
consumers'
experiences
and
how
firms
identify,
create,
nurture
manage
interactive
marketing
relationships.
However,
most
marketers
do
not
have
a
clear
understanding
of
what
AI
it
may
mutually
benefit
consumers
firms.
In
this
paper,
the
authors
conduct
an
extensive
review
literature,
develop
framework
for
value
co-creation
in
buyer–seller
relationships,
identify
research
gaps
offer
future
agenda.
Design/methodology/approach
The
first
literature
16
top
journals
on
AI.
Based
review,
relationships
was
conceptualized.
Findings
led
to
number
key
findings
summary
areas:
(1)
historical
perspective,
(2)
definitions
boundaries
AI,
(3)
marketing,
(4)
relevant
theories
domain
(5)
synthesizing
based
antecedents
usage,
usage
contexts
AI-enabled
outcomes.
Originality/value
This
one
reviews
including
evaluation
excess
or
300
conceptual
empirical
research.
findings,
agenda,
visual
titled
“What
Interactive
Marketing?
design
factors,
core
elements
&
contexts.”
Journal of Retailing,
Journal Year:
2024,
Volume and Issue:
100(2), P. 217 - 238
Published: Jan. 8, 2024
Autonomous
stores
operate
without
needing
on-site
staff
present
to
support
and
monitor
customers.
This
study
seeks
determine
which
autonomous
are
most
likely
succeed.
By
adapting
convenience
theory
drawing
on
secondary
qualitative
data,
the
authors
identify
unique
features
of
that
constitute
dimensions:
options
for
check-in
(access
convenience),
(assistance
check-out
(transaction
allow
customers
check
their
itemized
baskets
(verification
convenience).
Perceptions
convenience,
autonomy,
safety
explain
influences
store
features.
A
conjoint
experiment
provides
a
test
direct
effects
each
dimension
patronage
indirect
through
perceptions.
The
results
indicate
that,
with
exception
check-out,
consumers
prefer
staffed
stores;
having
in
(e.g.,
credit
card),
limited
access
(remote)
staff,
an
inability
verify
basket
before
payment
represent
significant
barriers.
In
turn,
some
trade-offs
arise:
Store
increase
autonomy
undermine
Finally,
community-based
rural
locations
better
suited
than
anonymous
traffic
hubs.
Retail
managers
can
leverage
these
findings
decide
whether
establish
and,
if
so,
design.
