International Journal of Housing Markets and Analysis,
Год журнала:
2024,
Номер
unknown
Опубликована: Апрель 12, 2024
Purpose
The
purpose
of
this
paper
is
to
investigate
millennials’
purchase
behaviours
towards
green
housing
in
India.
This
also
examines
the
mediating
effect
intention
between
determinants
buying
and
behaviour
real
estate
industry.
Design/methodology/approach
A
cross-sectional
research
design
was
applied
collect
data
from
393
rural
388
urban
millennials.
study
used
“partial
least
squares
structural
equation
modelling”
verify
framed
hypotheses.
Findings
outcomes
indicate
that
attitude,
environmental
concern
trust
substantially
influence
studies.
However,
perceived
risk
has
an
insignificant
on
both
Likewise,
innovativeness
insignificantly
impacts
while
impacting
Additionally,
a
favourable
relationship
contexts.
Practical
implications
provides
fruitful
evidence
for
practitioners,
marketers
academicians
about
drivers
toward
housing.
results
enable
regulatory
bodies
appropriate
strategies
tactics
foster
sustainable
growth
nations.
Originality/value
preliminary
attempt
explore
decision
buy
Furthermore,
authors
targeted
specific
age
group,
especially
millennials,
gain
valuable
understanding
how
different
factors
affect
decisions
areas,
is,
areas.
This
study
examined
the
factors
directly
influencing
purchase
intention
for
vegan
cosmetics
by
applying
an
extended
theory
of
planned
behavior
(TPB)
model
with
three
additional
constructs:
environmental
concern,
trust,
and
perceived
knowledge.
Data
were
collected
from
384
consumers
who
had
purchased
at
health
&
beauty
stores
in
Ho
Chi
Minh
city
Hanoi,
two
biggest
cities
representing
Vietnam.
The
results
revealed
that
all
TPB
constructs
a
significant
positive
effect
on
respondents’
cosmetics.
Furthermore,
concern
constructs,
while
trust
knowledge
positively
related
only
to
attitude
behavioral
control.
provides
essential
insights
help
firms
marketers
understand
affecting
consumers’
choose
appropriate
strategies
Vietnam’s
market.
Sustainable Development,
Год журнала:
2024,
Номер
32(5), С. 4671 - 4685
Опубликована: Фев. 18, 2024
Abstract
The
transportation
sector's
substantial
greenhouse
gas
emissions
necessitate
solutions
that
promote
sustainability.
One
potential
approach
is
the
higher
adoption
of
electric
vehicles
(EVs).
This
study
aims
to
empirically
investigate
determinants
customers'
intentions
adopt
EVs,
with
a
strong
focus
on
concept
green
value.
Framed
in
adaption‐innovation
theory
and
based
customer
perceived
value
model,
this
research
analyses
influence
emotion,
price,
quality,
social,
advertising
skepticism
purchase
intention
engagement.
Employing
PLS
fit
conceptual
model
data
obtained
from
an
online
survey
customers
Germany,
Spain,
Chile
(
N
=
791),
we
found
evidence
significant
impact
Notably,
social
most
crucial
driver
buying
more
important
than
price
International Journal of Housing Markets and Analysis,
Год журнала:
2024,
Номер
unknown
Опубликована: Апрель 12, 2024
Purpose
The
purpose
of
this
paper
is
to
investigate
millennials’
purchase
behaviours
towards
green
housing
in
India.
This
also
examines
the
mediating
effect
intention
between
determinants
buying
and
behaviour
real
estate
industry.
Design/methodology/approach
A
cross-sectional
research
design
was
applied
collect
data
from
393
rural
388
urban
millennials.
study
used
“partial
least
squares
structural
equation
modelling”
verify
framed
hypotheses.
Findings
outcomes
indicate
that
attitude,
environmental
concern
trust
substantially
influence
studies.
However,
perceived
risk
has
an
insignificant
on
both
Likewise,
innovativeness
insignificantly
impacts
while
impacting
Additionally,
a
favourable
relationship
contexts.
Practical
implications
provides
fruitful
evidence
for
practitioners,
marketers
academicians
about
drivers
toward
housing.
results
enable
regulatory
bodies
appropriate
strategies
tactics
foster
sustainable
growth
nations.
Originality/value
preliminary
attempt
explore
decision
buy
Furthermore,
authors
targeted
specific
age
group,
especially
millennials,
gain
valuable
understanding
how
different
factors
affect
decisions
areas,
is,
areas.
