Advances in human and social aspects of technology book series,
Journal Year:
2023,
Volume and Issue:
unknown, P. 301 - 314
Published: Oct. 16, 2023
Intelligence
augmentation
(IA)
facilitates
a
new
systems
perspective
to
frame
the
value
outcome
of
interaction
between
human
and
AI
agents.
The
factors
that
can
optimize
this
collaborative
integration
multi-agent
system
are
investigated
discussed.
Different
kinds
knowledge
approaches
met
in
various
contexts
create
an
optimized
IA
service
settings.
In
respect,
agents
not
just
tools
but
rather
co-creators
influence
agents'
learning
cycles.
Hence,
humans'
effective
with
produces
effect
empower
interpretative
capability.
This
chapter
focuses
on
shows
is
only
theoretical
paradigm
also
serves
as
platform
facilitate
transition
from
smart
services
wise
innovation
benefit
both
benefitting
organizations
consumers
too.
Potential
challenges
discussed
societal
viewpoint.
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).
Behavioral Sciences,
Journal Year:
2024,
Volume and Issue:
14(7), P. 616 - 616
Published: July 20, 2024
The
evolution
of
e-retail
and
the
contribution
artificial
intelligence
in
improving
algorithms
for
greater
customer
engagement
highlight
potential
these
technologies
to
develop
e-commerce
further,
making
it
more
accessible
personalized
meet
individual
needs.
This
study
aims
explore
psychosocial
factors
(subjective
norms;
faith;
consciousness;
perceived
control)
that
affect
AI-enabled
ease
use
their
impact
on
purchase
intention
online
retail.
We
will
also
assess
mediating
effect
between
consumer
intention.
A
quantitative
methodology
was
used,
1438
responses
were
collected
from
Portuguese
consumers
e-retail.
Structural
equation
modeling
used
statistical
treatment.
findings
indicate
subjective
norms
do
not
positively
use,
whereas
such
as
faith,
consciousness,
control
enhance
it.
Furthermore,
itself
boosts
Additionally,
effects
norms,
are
significantly
enhanced
when
mediated
by
highlighting
crucial
role
usability
shaping
behavior.
this
has
been
made
through
formulation
model
provides
a
systematized
perspective
about
influencers
intentions
extends
knowledge
offers
insights
into
e-commerce—artificial
directly
affects
plays
an
important
mediator
interaction
mechanisms
intentions.
Journal of Computer Information Systems,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 16
Published: Jan. 21, 2025
Despite
extensive
research
on
AI-enabled
services,
most
studies
have
focused
behavioral
and
adoption
intentions,
often
overlooking
factors
influencing
continued
usage.
The
post-adoption
behavior
of
services
remains
underexplored.
This
study
addresses
this
gap
by
developing
validating
a
comprehensive
model
that
integrates
parasocial
relationship
theory,
trust-commitment
key
constructs
from
the
Unified
Theory
Acceptance
Use
Technology
2
(UTAUT2)
Service
Robot
Model
(sRAM).
Data
356
users
in
Oman,
country,
provide
insights
into
service
acceptance
daily
life.
findings
reveal
performance
expectancy,
hedonic
motivation,
social
influence
positively
impact
engagement
continuance
with
perceived
accuracy
innovativeness
also
playing
significant
roles.
Additionally,
establishes
moderating
effect
privacy
risk
several
hypotheses,
thereby
advancing
understanding
AI
continuance.
Journal of Lifestyle and SDGs Review,
Journal Year:
2025,
Volume and Issue:
5(3), P. e05440 - e05440
Published: March 10, 2025
Objective:
This
study
examines
the
application
of
Behavioral
Reasoning
Theory
(BRT)
framework
in
e-business
adoption
within
small
and
medium-sized
enterprises
(SMEs)
food
beverage
(FnB)
sector.
It
aims
to
address
gaps
understanding
how
cognitive
reasoning
influences
technology
adoption,
particularly
emerging
economies.
research
aligns
with
sustainable
development
goal
no
poverty
by
exploring
digital
transformation
SMEs
can
drive
economic
growth
job
creation,
fostering
financial
stability
among
business
owners
workers.
Furthermore,
it
supports
Industry,
Innovation,
Infrastructure
emphasizing
role
platforms
strengthening
resilience
competitiveness,
while
advocating
for
partnerships
goals
through
collaboration
between
policymakers,
providers,
industry
stakeholders
enhance
adoption.
Method:
A
bibliometric
analysis
a
systematic
literature
review
(SLR)
were
conducted
on
519
peer-reviewed
articles.
Articles
selected
based
relevance
BRT,
SMEs,
focus
identifying
frameworks,
trends,
existing
gaps.
Results
Discussion:
While
there
is
growing
interest
BRT
studies,
especially
markets,
limited
links
FnB
SMEs.
Only
nine
studies
applied
broadly,
minimal
negligible
attention
Research
Implications:
Insights
from
this
guide
policymakers
providers
design
frameworks
addressing
SMEs'
specific
challenges
adopting
e-business.
emphasizes
potential
creating
targeted
training,
support
systems,
strategies
Originality/Value:
first
systematically
applications
sector,
highlighting
significant
providing
roadmap
future
practical
applications.
underscores
untapped
advance
