British Food Journal,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 26, 2025
Purpose
This
study
examines
how
production
and
environmental
information
transparency
affect
online
consumer
trust
their
purchase
intention
for
green
agricultural
products.
Design/methodology/approach
Using
signaling
theory,
the
combines
structural
equation
modeling
(SEM)
necessary
conditions
analysis
(NCA)
to
examine
sufficiency
necessity.
SEM
analyzes
links
between
transparency,
intention,
while
NCA
identifies
building
intentions
among
consumers.
Findings
First,
improves
general
(GT),
boosts
both
GT
swift
(ST).
Second,
ST
promote
consumers’
(OCPI).
Third,
is
GT,
supports
ST.
Additionally,
are
OCPI.
These
findings
indicate
that
help
enhance
trust,
thereby
increasing
intentions.
Practical
implications
The
offer
guidance
businesses
in
designing
trust-building
strategies
provide
recommendations
policymakers
on
incentivizing
practices
product
producers.
Originality/value
extends
theory
consumption
of
By
combining
NCA,
it
first
reveal
necessity
intention.
Journal of Strategic Marketing,
Год журнала:
2025,
Номер
unknown, С. 1 - 17
Опубликована: Янв. 16, 2025
As
consumer
and
regulatory
pressures
mount,
brands
are
increasingly
using
digital
channels
to
communicate
their
sustainability
commitments.
However,
research
on
sustainable
marketing
(SDM)
is
still
limited,
there
insufficient
scholarly
understanding
of
how
integrated
SDM
strategies
influence
brand
reputation
engagement.
This
study
grounded
in
a
multidimensional
framework
defines
through
key
dimensions:
transparency,
ethical
products,
social
environmental
impact,
education,
stakeholder
It
tests
these
dimensions
assess
effects
outcomes.
Survey
data
were
collected
from
1,158
consumers
across
various
geographical
regions
worldwide,
providing
diverse
sample
validate
the
findings.
The
results
reveal
significant
positive
direct
four
–
offerings,
engagement
reputation.
reputation,
turn,
mediates
indirect
Interestingly,
education
initiatives
did
not
have
similar
impact
indicating
potential
challenges
translating
knowledge
into
Overall,
construct
positively
predicts
both
engagement,
highlighting
synergistic
relationship
between
efforts,
These
insights
provide
actionable
guidance
for
academic
researchers
industry
stakeholders.
Asia Pacific Journal of Marketing and Logistics,
Год журнала:
2024,
Номер
36(11), С. 2849 - 2868
Опубликована: Май 7, 2024
Purpose
Digital
voice
assistants
(DVAs)
are
revolutionising
consumers’
interactions
with
technology
and
businesses.
Whilst
research
on
the
adoption
of
these
devices
is
rapidly
expanding,
few
have
explored
post-adoption
behaviour.
To
fill
this
gap,
we
investigate
how
functionality
human-like
features
shape
customers’
emotions,
engagement
loyalty
towards
DVAs.
Design/methodology/approach
The
data
were
collected
through
a
self-administered
online
survey
from
509
DVA
users.
Structural
equation
modelling
was
employed
for
analysis.
Findings
results
reveal
that
distinct
functional
factors
independently
explain
positive
emotions
Positive
significantly
impact
customer
to
study
shows
localisation
DVAs
has
significant
moderating
influence
service
experience-customer
relationship
but
negative
anthropomorphism-customer
relationship.
Originality/value
Unlike
previous
research,
contributes
literature
by
delving
into
phenomena.
It
explains
DVAs’
attributes
drive
emotional
responses,
findings
not
only
unveil
new
insights
role
also
provide
crucial
understanding
regarding
boundary
conditions
anthropomorphism
experience
engagement.
Journal of Consumer Behaviour,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 10, 2024
ABSTRACT
Extant
literature
suggests
that
personal
values
influence
consumers'
choice,
intention,
and
preference
for
sustainable
environment‐friendly
products.
By
adopting
a
replicative
systematic‐cum‐quantitative
approach,
this
bibliometric
review
attempts
to
map
the
existing
literature,
which
jointly
studies
consumption.
Choosing
from
toolbox,
we
employed
diverse
set
of
analyses
such
as
performance
analysis,
co‐authorship
cartographic
thematic
mapping,
evolution
on
refined
dataset
comprising
419
peer‐reviewed
journal
articles
187
journals.
The
findings
synthesis
point
six
distinct
topical
clusters
orchestrate
present
intellectual
structure,
along
with
identifying
top
contributors
constituents
in
domain.
We
also
themes
chart
using
Sankey
diagram
Bibliometrix‐R.
In
addition,
three‐dimensional
TMC
framework
is
adopted
outline
avenues
future
research.
Furthermore,
suggest
implications
theory
practice
elucidate
limitations.
