Re-Engineering Digital Marketing Strategy of Dairy Industries
Modern Economy,
Journal Year:
2024,
Volume and Issue:
15(02), P. 163 - 191
Published: Jan. 1, 2024
With
the
goal
of
all
businesses,
including
those
in
dairy
industry,
to
climb
their
website
rank
world
web,
it
is
particularly
important
implement
well-planned
promotions
and
actions
appropriate
communication
channels.
These
channels
are
now
being
used
as
business
tools,
therefore,
planning,
monitoring,
constant
updating
corresponding
strategy.
This
paper
examines
effect
big
data,
collected
from
websites
5
well-known
firms,
based
on
financial
ESG
results,
by
performing
statistical
analysis
(correlation)
Fuzzy
Cognitive
Mapping
(FCM)
scenarios,
global
ranking
these
businesses.
Throughout
this
study,
discerned
that
a
significant
number
firms’
such
social
traffic,
unique
visitors,
backlinks,
referring
domains,
referral
paid
direct
search
organic
keywords,
mobile
desktop
should
be
utilized
marketers
receive
further
improvement,
through
investment,
due
ability
enhance
engine
results.
Language: Английский
Trainable Monte Carlo-MLP for cost uncertainty in resilient supply chain optimization with additive manufacturing implementation challenges
Pardis Roozkhosh,
No information about this author
Mojtaba Ghorbani
No information about this author
Applied Soft Computing,
Journal Year:
2024,
Volume and Issue:
unknown, P. 112501 - 112501
Published: Nov. 1, 2024
Language: Английский
Logistics SMEs’ marketing budget re-engineering for sustainable digital marketing development
Despina S. Giakomidou,
No information about this author
Athanasios Kriemadis
No information about this author
Journal of Infrastructure Policy and Development,
Journal Year:
2024,
Volume and Issue:
8(8), P. 6080 - 6080
Published: Aug. 27, 2024
Nowadays,
the
survival
and
sustainability
of
SMEs
promotion
their
services
have
become
key
goals
for
economic
growth
many
countries.
Logistics
seek
to
improve
digital
marketing
development,
by
managing
re-engineering
process
budget.
To
achieve
this
goal,
logistics
should
capitalize
on
big
data
from
websites
that
are
capable
depicting
development
level.
The
authors
selected
5
sector
collected
365
days.
Then,
statistical
analysis
tools
(correlation
linear
regression
models),
as
well
Fuzzy
Cognitive
Mapping
(FCM)
models
were
utilized.
It
is
highlighted
various
budget
levels
affect
differently.
More
specifically,
a
500$
2500$
could
bring
more
users
(new
returning)
SMEs’
websites,
but
only
if
investments
transcend
5000$
help
these
firms
rank
higher
in
search
engines
(authority
score).
Thus,
simulate
course
specific
metrics
setting
desired
Language: Английский