Psychology and Marketing,
Journal Year:
2024,
Volume and Issue:
41(12), P. 2965 - 2976
Published: Aug. 6, 2024
Abstract
Generative
artificial
intelligence
technologies
are
transforming
brand‐customer
interactions
by
offering
highly
personalized
and
dynamic
virtual
experiences.
This
underscores
the
importance
of
studying
their
significant
impact
on
customer
experiences
in
Metaverse.
Accordingly,
study
aims
to
explore
how
users'
attachment
Metaverse
relates
underlying
psychological
drivers
engagement
with
brands
using
generative
AI
digital
realm.
A
mixed‐method
approach
was
adopted,
beginning
an
exploratory
that
involved
in‐depth
interviews
24
participants
gain
initial
understanding
consumers'
behavioral
reactions
An
empirical
then
conducted,
surveying
407
UK‐based
users
worlds
who
interacted
these
platforms.
The
goal
understand
need
for
uniqueness
influences
self‐identity
expression
examine
factors
affected
places.
research
highlights
nuanced
relationship
between
pursuit
integration
brand
narratives
into
one's
identity
particularly
when
supported
personalized,
adaptive
technologies.
International Journal of Consumer Studies,
Journal Year:
2023,
Volume and Issue:
47(4), P. 1213 - 1225
Published: March 25, 2023
Abstract
The
need
of
the
hour
is
to
encourage
research
on
topics
with
newness
and
novelty.
In
this
context,
article
discusses
multidimensional
benefits
potential
pitfalls
using
artificial
intelligence‐based
Chat
Generative
Pre‐trained
Transformer
(ChatGPT),
provides
numerous
ideas
for
future
in
consumer
studies
marketing
context
ChatGPT.
ChatGPT
algorithm‐generated
conversational
responses
text‐based
prompts.
Since
its
launch
late
2022,
has
generated
significant
debate
surrounding
hallmarks,
pitfalls.
On
one
hand,
can
offer
enhanced
engagement,
improved
customer
service,
personalization
shopping,
social
interaction
communication
practice,
cost‐effectiveness,
insights
into
behaviour
campaigns.
other
include
concerns
about
well‐being,
bias,
misinformation,
lack
privacy
concerns,
ethical
considerations
security.
concludes
by
outlining
a
agenda
area
studies.
Overall,
valuable
challenges
associated
ChatGPT,
shedding
light
applications
further
research.
Technology in Society,
Journal Year:
2023,
Volume and Issue:
75, P. 102370 - 102370
Published: Sept. 11, 2023
In
today's
academic
world,
some
academicians,
researchers
and
students
have
begun
employing
Artificial
Intelligence
(AI)
language
models,
e.g.,
ChatGPT,
in
completing
a
variety
of
tasks,
including
generating
ideas,
summarising
literature,
essay
writing.
However,
the
use
ChatGPT
settings
is
controversial
issue,
leading
to
severe
concern
about
integrity
AI-assisted
cheating,
while
scholarly
communities
still
lack
clear
principles
on
using
such
innovation
academia.
Accordingly,
this
study
aims
understand
motivations
driving
academics
their
work,
specifically
role
making
up
adoption
behavior.
Based
702
responses
retrieved
from
users
ResearchGate
Academia.edu,
we
found
that
usage
positively
shaped
by
time-saving
feature,
e-word
mouth,
self-efficacy,
self-esteem,
perceived
stress.
contrast,
peer
influence
had
negative
effect
usage.
Intriguingly,
integrity-moderated
interactions
time-saving,
self-esteem
stress
are
be
significantly
positive.
Therefore,
suggest
stakeholders,
institutions,
publishers
AI
models'
programmers,
should
work
together
specify
necessary
guidelines
for
ethical
chatbots
research.
Psychology and Marketing,
Journal Year:
2023,
Volume and Issue:
40(7), P. 1372 - 1387
Published: March 24, 2023
Abstract
The
present
research
focuses
on
the
interplay
between
two
common
features
of
customer
service
chatbot
experience:
gaze
direction
and
anthropomorphism.
Although
dominant
approach
in
marketing
theory
practice
is
to
make
chatbots
as
human‐like
possible,
current
study,
built
humanness‐value‐loyalty
model,
addresses
chain
effects
through
which
chatbots'
nonverbal
behaviors
affect
customers'
willingness
disclose
personal
information
purchase
intentions.
By
means
experiments
that
adopt
a
real
simulated
shopping
environment
(i.e.,
car
rental
travel
insurance),
work
allows
us
understand
how
reduce
individuals'
tendency
see
conversational
agents
less
knowledgeable
empathetic
compared
with
humans.
results
show
warmth
perceptions
are
affected
by
direction,
whereas
competence
Warmth
found
be
key
drivers
consumers’
skepticism
toward
chatbot,
which,
turn,
affects
trust
provider
hosting
ultimately
leading
consumers
more
willing
their
repatronize
e‐tailer
future.
Building
Theory
Mind,
our
perceiving
from
makes
individuals
skeptical
long
they
feel
good
at
detecting
others’
ultimate
Psychology and Marketing,
Journal Year:
2023,
Volume and Issue:
40(8), P. 1593 - 1614
Published: June 2, 2023
Abstract
Recent
advancements
in
artificial
intelligence
(AI)
and
the
emergence
of
AI‐based
social
applications
market
have
propelled
research
on
possibility
consumers
developing
relationships
with
AI.
Motivated
by
diversity
approaches
inconsistent
findings
this
emerging
stream,
systematic
literature
review
analyzes
37
peer‐reviewed
empirical
studies
focusing
human–AI
published
between
2018
2023.
We
identify
three
major
theoretical
domains
(social
psychology,
communication
media
studies,
human–machine
interactions)
as
foundations
for
conceptual
development,
detail
theories
used
reviewed
papers.
Given
radically
new
nature
AI
innovation,
we
recommend
a
novel
approach
that
would
synergistically
utilize
cross‐disciplinary
literature.
Analysis
methodology
indicates
quantitative
dominate
while
qualitative,
longitudinal,
mixed‐method
are
infrequently.
Examination
models
variables
suggests
need
to
reconceptualize
factors
processes
relationship,
such
agency,
autonomy,
authenticity,
reciprocity,
empathy,
better
correspond
context.
Based
our
analysis,
propose
an
integrative
framework
offer
directions
future
incorporate
develop
comprehensive
theory
human
‐
relationships,
explore
nomological
networks
its
key
constructs,
implement
methodological
variety
triangulation.
Journal of Hospitality Marketing & Management,
Journal Year:
2023,
Volume and Issue:
32(6), P. 694 - 716
Published: April 18, 2023
Robot
services
have
become
an
essential
competitive
differentiator
in
the
hospitality
and
tourism
industry.
Seminal
studies
indicate
need
for
more
profound
knowledge
about
factors
that
can
increase
acceptance
of
service
robots.
This
paper
investigates
relationship
between
informational
cues
robots
through
a
meta-analysis.
Our
study
also
analyzes
contextual
characteristics
moderators.
The
results
showed
perceived
robot
trust
influences
(anthropomorphism
social
influence)
By
analyzing
previous
studies,
our
framework
demonstrates
has
increased
after
COVID
pandemic
than
before
pandemic.
Furthermore,
attitude
toward
usage
intention
tends
to
be
greater
humanoid
(than
robots)
analytical
intelligence
mechanical
intelligence).
Psychology and Marketing,
Journal Year:
2024,
Volume and Issue:
41(4), P. 880 - 898
Published: Jan. 4, 2024
Abstract
While
consumer
engagement
(CE)
in
the
context
of
artificially
intelligent
(AI‐based)
technologies
(e.g.,
chatbots,
smart
products,
voice
assistants,
or
autonomous
cars)
is
gaining
traction,
themes
characterizing
this
emerging,
interdisciplinary
corpus
work
remain
indeterminate,
exposing
an
important
literature‐based
gap.
Addressing
gap,
we
conduct
a
systematic
review
89
studies
using
Preferred
Reporting
Items
for
Systematic
reviews
and
Meta‐Analyses
(PRISMA)
approach
to
synthesize
AI‐based
CE
literature.
Our
yields
three
major
CE,
including
(i)
Increasingly
accurate
service
provision
through
;
(ii)
Capacity
(co)create
consumer‐perceived
value
,
(iii)
CE's
reduced
effort
their
task
execution
.
We
also
develop
conceptual
model
that
proposes
antecedents
personal,
technological,
interactional,
social,
situational
factors,
consequences
consumer‐based,
firm‐based,
human‐AI
collaboration
outcomes.
conclude
by
offering
pertinent
implications
theory
development
future
research
questions
derived
from
proposed
CE)
practice
reducing
costs
brand/firm
interactions).
Service Industries Journal,
Journal Year:
2024,
Volume and Issue:
44(3-4), P. 149 - 172
Published: Jan. 30, 2024
Artificial
intelligence
(AI)
initiatives,
including
Generative
AI,
are
being
increasingly
implemented
in
service
industries,
and
having
a
great
impact
on
operations
customers'
reactions
behaviors.
Previous
literature
is
overoptimistic
about
AI
implementation,
there
still
need
to
explore
the
dark
side
of
this
technology;
that
is,
its
potential
negative
impacts
consumers,
businesses,
society,
as
well
moral
concerns
associated
with
use
services.
To
establish
some
fundamental
insights
related
research
domain,
paper
contributes
previous
based-services
by
proposing
three-part
conceptual
model
inspired
Belanche
et
al.
(2020a),
comprised
design,
customers,
encounter.
Specifically,
we
identify
key
factors
gaps
within
each
category
be
addressed.
The
final
questions
provide
agenda
guide
scholars
help
practitioners
implement
AI-based
services
while
avoiding
their
outcomes.
European Journal of Marketing,
Journal Year:
2024,
Volume and Issue:
58(4), P. 1141 - 1174
Published: March 19, 2024
Purpose
This
study
aims
to
integrate
the
theory
of
planned
behavior
(TPB)
and
value-belief-norm
(VBN)
into
a
meta-analytic
framework
synthesize
green
consumption
literature.
Design/methodology/approach
By
integrating
findings
from
173
studies,
meta-analysis
was
performed
adopting
several
analytical
methods:
bivariate
analysis,
moderation
analysis
path
analysis.
Findings
VBN-
TPB-based
psychological
factors
(adverse
consequences,
ascribed
responsibility,
personal
norms,
subjective
attitude
perceived
behavioral
control)
mediate
effects
altruistic,
biospheric
egoistic
values
on
purchase
intention.
Further,
inconsistencies
in
proposed
relationships
are
due
cultural
(i.e.
individualism-collectivism,
power
distance,
uncertainty
avoidance,
masculinity–femininity,
short-
vs
long-term
orientation
indulgence-restraint)
countries’
human
development
status.
Research
limitations/implications
The
authors
selected
papers
published
English;
hence,
other
relevant
this
domain
languages
might
have
been
missed.
Practical
implications
useful
marketers
offerings
designing
strategies,
i.e.
specific
messages,
targeting
different
customers
based
score
index,
harvest
positive
customer
responses.
Originality/value
is
pioneering
attempt
TPB-
VBN-based
quantitative
literature
consumer
resolve
reported
inconsistent
findings.