Journal of Innovation & Knowledge,
Journal Year:
2023,
Volume and Issue:
8(3), P. 100388 - 100388
Published: May 23, 2023
A
deeper
understanding
of
cloud
computing
is
required
to
accelerate
its
adoption
and
leverage
cost,
performance,
reliability,
security.
However,
information
about
the
combined
effect
factors
influencing
using
traditional
statistical
methods
limited.
Based
on
a
literature
review
firms’
computing,
we
identified
12
determinants
explore
how
antecedent
influence
by
small
medium-sized
enterprises
(SMEs).
We
used
symmetric
asymmetric
techniques
analyze
data
from
203
Chinese
SMEs.
The
partial
least
squares
structural
equation
modeling
(PLS-SEM)
assessed
net
impact
each
antecedent,
fuzzy-set
qualitative
comparative
analysis
(fsQCA)
provided
supplementary
highlighting
configurations
causal
conditions
associated
with
adoption.
PLS-SEM
results
show
that
security
concerns,
top
management
support,
IT
competence,
competitive
pressure,
trading
partner
provider
support
SMEs’
decisions
adopt
computing.
Interestingly,
fsQCA
provides
complex
causality
does
not
capture.
That
is,
revealed
seven
resulting
in
high-level
eight
paths
leading
negation
These
findings
indicate
several
no
significant
were
adequate
when
other
configurations.
complementary
provide
theoretical
practical
insights.
Psychology and Marketing,
Journal Year:
2022,
Volume and Issue:
39(6), P. 1129 - 1155
Published: March 8, 2022
Abstract
Conversational
agents
are
systems
with
human‐like
features
that
can
be
deployed
in
service
settings
and
fast
emerging
as
the
future
of
online
commerce.
Considering
importance
proliferation
conversational
commerce,
it
is
opportune
to
take
stock
field's
research
from
a
bird's
eye
view
guide
understanding
its
current
progress.
In
this
regard,
goal
study
review
performance
intellectual
structure
To
do
so,
conducts
comprehensive
systematic
722
publications
on
commerce
using
Scientific
Procedures
Rationales
for
Systematic
Literature
Reviews
protocol
collection
bibliometric
analysis
techniques
consisting
science
mapping
(e.g.,
content
analysis,
keyword
co‐occurrence
bibliographic
coupling).
doing
reveals
publication
citation
trends,
top
sources,
publications,
authors)
major
theories
themes
field.
The
concludes
conceptual
framework
depicting
constructs
antecedents,
mediators,
moderators,
consequences,
enablers)
employing
delivery,
well
suggestions
research.
Annals of Operations Research,
Journal Year:
2021,
Volume and Issue:
333(2-3), P. 653 - 687
Published: April 12, 2021
Abstract
Digital
assistant
is
a
recent
advancement
benefited
through
data-driven
innovation.
Though
digital
assistants
have
become
an
integral
member
of
user
conversations,
but
there
no
theory
that
relates
perception
towards
this
AI
powered
technology.
The
purpose
the
research
to
investigate
role
technology
attitude
and
attributes
in
enhancing
purchase
intention
assistants.
A
conceptual
model
proposed
after
identifying
three
major
factors
namely,
perceived
anthropomorphism,
intelligence,
animacy.
To
test
model,
study
employed
structural
equation
modeling
using
440
sample.
results
indicated
anthropomorphism
plays
most
significant
building
positive
built
technology-related
variables,
hypotheses
are
based
on
various
psychology-related
theories
such
as
uncanny
valley
theory,
mind,
developmental
psychology,
cognitive
psychology
theory.
study’s
theoretical
contributions
discussed
within
scope
these
theories.
Besides
contribution,
also
offers
illuminating
practical
implications
for
developers
marketers’
benefit.
Journal of Business Research,
Journal Year:
2023,
Volume and Issue:
161, P. 113838 - 113838
Published: March 21, 2023
Consumer
research
on
conversational
agents
(CAs)
has
been
growing.
To
illustrate
and
map
out
in
this
field,
we
conducted
a
systematic
literature
review
(SLR)
of
published
work
indexed
the
Clarivate
Web
Science
Elsevier
Scopus
databases.
Four
dominant
topical
areas
were
identified
through
bibliographic
coupling.
They
are
1)
consumers’
trust
CAs;
2)
Natural
Language
Processing
(NLP)
developing
designing
3)
communication
with
4)
impact
CAs
value
creation
for
business.
We
leverage
these
findings
to
provide
an
updated
synopsis
extant
scientific
work.
Moreover,
draw
framework
whereby
identify
the:
drivers
motivators
adoption
engagement
outcomes
CA
both
users
organizations.
Finally,
develop
agenda
future
research.
International Journal of Production Research,
Journal Year:
2022,
Volume and Issue:
62(15), P. 5535 - 5555
Published: May 23, 2022
This
study
posits
that
the
use
of
artificial
intelligence
(AI)
enables
supply
chains
(SCs)
to
dynamically
react
volatile
environments,
and
alleviate
potentially
costly
decision-makings
for
small-medium
enterprises
(SMEs).
Building
on
a
resource-based
view,
this
work
examines
impact
AI
SC
risk
management
SMEs.
A
structural
model
comprising
AI-risk
capabilities,
re-engineering
capabilities
chain
agility
(SCA)
was
developed
tested
based
data
collected
from
executives,
managers
senior
SMEs
The
main
methodological
approach
used
in
is
partial
least
squares-based
equation
modelling
(PLS-SEM)
neural
network
(ANN).
results
identified
influences
agility.
Re-engineering
further
affect
mediate
PLS-SEM
ANN
were
compared
revealed
consistency
models
B.
Current
levels
demand
uncertainties
challenges
making
complex
trade-off
decisions
require
huge
resources
very
limited
time.
With
AI,
it
possible
various
scenarios
answer
crucial
questions
archaic
infrastructures
are
not
able
to.
combines
multi-construct
concept
non-linear
relationships
model.
Technological Forecasting and Social Change,
Journal Year:
2023,
Volume and Issue:
193, P. 122634 - 122634
Published: May 20, 2023
The
social
companionship
(SC)
feature
in
conversational
agents
(CAs)
enables
the
emotional
bond
and
consumer
relationships.
heightened
interest
SC
with
CAs
led
to
exponential
growth
publications
scattered
across
disciplines
fragmented
findings,
thus
limiting
holistic
understanding
of
domain
warrants
a
macroscopic
view
guide
future
research
directions.
present
study
fills
void
by
offering
comprehensive
literature
review
entailing
science
performance
intellectual
structure
mapping.
revealed
domain's
major
theories,
constructs,
thematic
structure.
Thematic
content
analysis
resulted
conceptual
framework
encompassing
antecedents,
mediators,
moderators,
consequences
CAs.
discusses
directions
guiding
practitioners
academicians
designing
efficient
ethical
AI
companions.
