Digital
activities
such
as
e-commerce
and
social
commerce
(online
commerce)
can
empower
slum
communities
by
enhancing
product
service
accessibility.
However,
effective
customer
localization
delivery
processes
are
critical
to
the
success
of
these
initiatives.
Substandard
housing
units,
overcrowded
structures,
inadequate
infrastructures
like
poor
or
nonexistent
mobile
reception
internet
connection,
inaccessible
roads,
narrow
road
networks
characterize
settlements.
These
unique
features
settlements
lack
traditional
digital
addressing
systems
make
a
significant
challenge.
The
study
examines
deep
learning
(DL)
models
for
indoor
outdoor
proposes
DL
Partial
Least
Square
(PLS)
technique
explore
address
distinct
challenges
online
in
Sub-Saharan
African
(SSA)
through
localization.
By
analyzing
spatial
data,
seeks
develop
robust
adaptable
mechanism
optimize
efficiency
open
up
new
prospects
marginalized
results
observations
from
provide
valuable
implications
businesses,
policymakers,
stakeholders
aiming
promote
development
SSA
communities.
International Journal of Retail & Distribution Management,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 21, 2025
Purpose
This
study
explores
the
shopping
orientations
of
omnichannel
customers
through
lens
generational
cohort
theory,
which
influences
their
decision-making
style
while
online.
It
offers
key
insights
into
how
Generations
X,
Y
and
Z
interact
with
digital
platforms,
helping
retailers
adapt
to
shifting
dynamics
modern
customers.
Design/methodology/approach
Using
different
customer
styles,
a
comprehensive
questionnaire
was
administered
diverse
sample
selected
via
systematic
probability
sampling.
The
responses
were
analysed
using
multivariate
post
hoc
analysis
uncover
product-based
differences
in
online
orientations.
Findings
reveals
apparent
differences.
Gen
is
driven
by
affordability
quality,
brand-conscious
willing
pay
premium
prices.
In
contrast,
X
exhibits
strong
brand
loyalty,
although
younger
generations
show
decline
attachment.
These
findings
suggest
that
must
blend
offline
channels
boost
engagement
especially
among
Research
limitations/implications
relies
on
self-reported
data,
introducing
potential
for
recall
bias,
could
affect
accuracy
reported
behaviours.
Practical
implications
Understanding
cohorts’
distinct
behaviours
empowers
marketers
craft
personalised
strategies
enhance
drive
loyalty
satisfaction.
By
tailoring
experiences
unique
preferences
each
generation,
can
ensure
seamless
journeys
resonate
across
product
categories,
maximising
market
impact
retention.
Originality/value
applying
this
uniquely
examines
underexplored
group
customers,
offering
fresh
cohorts
types
shape
behaviour,
providing
valuable
guidance
retailers.
Journal of Facilities Management,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Feb. 22, 2024
Purpose
Perceived
risk
and
benefits
have
been
proposed
as
crucial
elements
in
consumers’
technology
adoption
intention.
Therefore,
this
study
aims
to
use
the
Unified
Theory
of
Acceptance
Use
Technology
2
(UTAUT2)
framework,
with
perceived
risks
benefits,
explore
how
they
affect
Buy-Now-Pay-Later
(BNPL)
behavioural
Design/methodology/approach
An
online
survey
was
conducted
among
537
users
BNPL.
Partial
least
square
structural
equation
modelling
analysis
performed
examine
hypothesized
relationships.
Findings
The
found
that
performance
expectancy,
effort
habit
social
influence
increase
intention
towards
In
contrast,
reduces
consumer’s
use.
Additionally,
revealed
BNPL
services
positively
affects
their
usage.
Practical
implications
lack
information
makes
consumers
hesitant
marketers
should
optimize
facilitating
conditions,
such
user-friendly
interfaces,
accessible
resources
efficient
customer
support,
which
be
business
strategy
service
providers
ensure
a
seamless
user
experience.
Originality/value
research
empirically
investigates
effect
on
consumer
This
contribution
is
because
while
there
speculation
about
driving
force
intention,
sufficient
empirical
evidence
support
it.
Marketing Intelligence & Planning,
Journal Year:
2024,
Volume and Issue:
42(6), P. 941 - 975
Published: May 28, 2024
Purpose
Co-creation
of
services
(CCOS)
is
a
collaborative
strategy
that
emphasises
customer
involvement
and
their
expertise
to
increase
the
value
service
experience.
In
ecosystem,
artificial
intelligence
(AI)
plays
key
role
in
co-creation.
Therefore,
this
study
undertaken
empirically
uncover
how
AI
can
empower
CCOS.
Design/methodology/approach
The
source
data
were
collected
from
305
provider
respondents
quantitative
methodology
was
applied
for
analysis.
Findings
New
development
augmented
with
provides
tangible
providers
while
also
providing
intangible
supportive
customers.
With
AI,
adapt
new
innovations
enrich
additional
information,
which
eventually
outperforms
human-created
services.
Research
limitations/implications
adoption
CCOS
empowerment
businesses
brings
“service-market
fit”,
represents
significant
benefits
wherein
customers
contribute
creativity,
intuition,
contextual
awareness
services,
contributes
large-scale
service-related
analysis
by
handling
volumes
data,
personalisation,
more
time
focus
on
challenging
problems
market.
Originality/value
This
presents
theoretical
concepts
AI-empowered
CCOS,
technological
innovativeness,
participation
human-AI
interaction,
AI-powered
expertise,
perceived
subsequently
discusses
framework.
Then,
it
proposes
novel
conceptual
model
based
measures
validates
intention
adopt
empowerment.
Overall,
insight
empowering
co-creation
AI.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: June 12, 2024
Abstract
In
the
context
of
expanding
local
food
market,
grasping
evolutionary
trajectory
consumer
purchasing
behavior
is
crucial
for
understanding
market
dynamics.
This
study
adopts
a
cross-generational
perspective
to
delve
into
and
elucidate
similarities
differences
in
consumption
behaviors
between
Gen
Z
Y.
Through
analysis
online
survey
data
from
251
individuals
319
Y
utilizing
Theory
Planned
Behavior
as
theoretical
framework,
identifies
eight
key
variables.
The
findings
reveal
that
while
exhibit
range
common
characteristics
their
choice
food,including
attention
word
mouth,
health
consciousness,
subjective
norms,
perceived
behavioral
control,
attitude.there
significant
divergence
motivating
factors
purchasing.
Specifically,
convenience
primary
driver
when
selecting
food;
conversely,
price
decisive
factor
decision-making
process
By
unveiling
these
similarities,
research
offers
beneficial
sector,
particularly
formulating
strategies
targeted
at
different
generations.
IGI Global eBooks,
Journal Year:
2025,
Volume and Issue:
unknown, P. 103 - 132
Published: April 18, 2025
The
book
chapter
applies
managerial
and
marketing
theories
to
examine
value
co-creation,
drawing
from
Service-Dominant
Logic,
Service
Science,
Co-creation
of
Services
(CCOS),
the
Viable
Systems
Approach
(VSA)
reinterpret
this
concept
in
digital
era.
It
integrates
VSA's
Intelligence
Augmentation
(IA)
Information
Variety
Model
(IVM)
into
its
research
framework.
CCOS
emphasizes
customer
participation
expertise
enhancing
service
experiences.
explores
AI's
role
ecosystems,
focusing
on
how
voluntary
can
moderate
impact
influencing
perceived
benefits
risks
affecting
repeat
adoption
AI-driven
platforms.
