Advances in marketing, customer relationship management, and e-services book series,
Год журнала:
2024,
Номер
unknown, С. 172 - 194
Опубликована: Июнь 24, 2024
It
is
imperative
for
companies
to
develop
and
manage
customer
relationships
effectively.
The
objective
of
the
study
analyze
effective
management
by
companies.
methodology
adopted
a
conceptual
analysis
various
strategies
initiatives
managing
relationships.
Companies
customize
personalize
their
offerings
with
help
permission
marketing
engagement
marketing.
They
empower
customers,
word
mouth,
deal
complaints
Academicians
may
existing
suggest
Practicing
managers
evaluate
implement
in
future.
All
these
will
enable
strong
bondage
effectively,
achieve
business
excellence
long
run.
Humanities and Social Sciences Communications,
Год журнала:
2023,
Номер
10(1)
Опубликована: Ноя. 8, 2023
Abstract
The
objective
of
this
study
is
to
determine
the
impact
artificial
intelligence
(AI)
on
earnings
before
interest,
taxes,
depreciation,
and
amortization
(EBITDA)
firms
as
a
proxy
their
financial
economic
margins
by
improving
revenues
minimizing
expenses.
This
positive
market
value
scalability
sustainability
companies.
methodology
based
business
plan
that
considers
savings
obtained
traditional
firm
implementing
AI.
Specifically,
sensitivity
analysis
will
demonstrate
AI
key
parameters,
leading
sustainability.
Additionally,
mathematical
interpretation,
network
theory,
be
produced
provide
compare
added
two
ecosystems
(without
with
adds
up
new
nodes
strengthens
existing
ones).
main
contribution
paper
combination
unrelated
approaches,
showing
potential
in
scalable
ecosystems.
In
future
research,
innovative
could
extended
other
technological
applications.
Artificial Intelligence Review,
Год журнала:
2024,
Номер
57(7)
Опубликована: Июнь 17, 2024
Abstract
Big
data
involves
processing
vast
amounts
of
using
advanced
techniques.
Its
potential
is
harnessed
for
predictive
analytics,
a
sophisticated
branch
that
anticipates
unknown
future
events
by
discerning
patterns
observed
in
historical
data.
Various
techniques
obtained
from
modeling,
mining,
statistics,
artificial
intelligence,
and
machine
learning
are
employed
to
analyze
available
history
extract
discriminative
predictors.
This
study
aims
the
main
research
approaches
on
Data
Predictive
Analytics
(BDPA)
based
very
up-to-date
published
articles
2014
2023.
In
this
article,
we
fully
concentrate
analytics
big
mining
techniques,
where
perform
Systematic
Literature
Review
(SLR)
reviewing
109
articles.
Based
application
content
current
studies,
introduce
taxonomy
including
seven
major
categories
industrial,
e-commerce,
smart
healthcare,
agriculture,
city,
Information
Communications
Technologies
(ICT),
weather.
The
benefits
weaknesses
each
approach,
potentially
important
changes,
open
issues,
addition
paths,
discussed.
compiled
SLR
not
only
extends
BDPA’s
strengths,
works
but
also
detects
need
optimizing
insufficient
metrics
applications,
such
as
timeliness,
accuracy,
scalability,
which
would
enable
organizations
apply
shift
retrospective
prospective
if
fulfilled.
International Journal of Hospitality Management,
Год журнала:
2023,
Номер
117, С. 103643 - 103643
Опубликована: Дек. 9, 2023
This
study
investigates
key
stakeholder
factors
that
contribute
to
big
data
organizational
culture,
leading
the
adoption
of
digitalization
strategy
in
hospitality
industry.
It
also
determines
interaction
between
culture
and
leader
commitment
influencing
adoption.
Following
a
pilot
test
ensure
suitability
measures,
three-wave
survey
was
conducted
obtain
from
438
hotels
an
emerging
economy.
Structural
equation
modeling
results
reveal
three
(i.e.,
customer
orientation,
supplier
cooperation,
employee
information
technology
skills)
positively
affect
which
turn
enhances
strategies.
Moreover,
moderates
link
These
findings
advance
extant
literature
on
digital
transformation
strategy.
They
provide
important
implications
for
managers
understanding
promoting
Technovation,
Год журнала:
2023,
Номер
130, С. 102935 - 102935
Опубликована: Дек. 30, 2023
Data
has
become
a
powerful
source
of
competitive
advantage
in
contemporary
business-to-business
(B2B)
markets,
enabling
vendors
to
create
enhanced
and
completely
new
value
propositions.
However,
while
many
firms
can
generate
lot
data
from
their
businesses,
they
struggle
translate
it
into
sellable
offerings.
To
address
this
issue,
study
examines
how
sell
monetize
B2B
markets.
Based
on
an
extensive
multiple
case
study,
identifies
four
archetypical
data-driven
propositions
(data
as
product,
data-enhanced
products,
services,
data-enabled
performance
outcomes)
illuminates
the
key
data-related
capabilities
challenges
related
each
proposition.
The
findings
contribute
digital
servitization
monetization
literatures
by
illustrating
industrial
harness,
package,
For
managers,
offers
important
insights
various
strategies
needed
Decision Analytics Journal,
Год журнала:
2024,
Номер
10, С. 100405 - 100405
Опубликована: Янв. 25, 2024
This
study
proposes
a
model
to
assess
data-driven
decision-making
(DDDM)
readiness
in
organizations.
We
present
the
results
from
investigating
DDDM
of
Swedish
organization
food
industry.
designed
and
developed
questionnaire
collect
data
about
organization's
IT
systems.
conducted
eleven
interviews
at
case
organization:
ten
with
various
functional
decision-makers
one
Manager
The
interview
were
then
analyzed
against
known
decision
theories
state-of-the-art
DDDM.
Based
on
outcomes,
we
analyze
according
assessment
recommend
changes
for
decisions.
findings
show
that
while
was
assessed
as
ready
process
decision-maker
pillars,
it
not
or
analytics
pillars.
Accordingly,
set
actions,
including
considering
integration
systems,
further
developing
dashboards,
increasing
resources
(such
enterprise
warehouse,
big
management
tools,
lake
environment,
algorithms),
defining
key
roles
necessary
digitalization
Data
Engineer,
Scientist,
Business
Intelligence
Specialist,
Chief
Officer,
Warehouse
Designer/Administrator).
contribution
this
is
model,
accompanied
by
determining
level
International Journal of Information Management Data Insights,
Год журнала:
2024,
Номер
4(1), С. 100214 - 100214
Опубликована: Янв. 17, 2024
Due
to
the
industrial
revolution
and,
thereby
with,
emergence
of
Industry
4.0,
there
has
been
an
impact
on
marketing
business
firms,
enabling
them
digitally
transform
and
adopt
Marketing
4.0
practices
supported
by
smart
technologies.
One
these
is
Big
Data
Analytics
(BDA),
which
enables
a
firm
improve
its
practices.
The
main
objective
this
study
evaluate
how
integrating
big
data
technology
improves
strategies
Indian
FMCG
companies
operating
in
dynamic
highly
competitive
market
distinguished
size
diversity,
constantly
changing
consumer
behaviour,
trends.
This
adopts
systematic
approach
coding
interview
with
seasoned
professionals
explain
capabilities
molding
A
framework
constructed
based
same.
theoretical
practical
implications
are
discussed
visualize
applicability
business.
Further,
Resource-based
View
(RBV)
theory
for
describing
insights
into
role
adoption
firms
enhancing
performance
achieving
competitiveness,
along
demonstrating
benefits
decision-making,
customer
loyalty
internal
capability
assessment.
Journal of Contingencies and Crisis Management,
Год журнала:
2023,
Номер
31(4), С. 670 - 682
Опубликована: Май 8, 2023
Abstract
In
the
current
complex
and
uncertain
scenarios,
organizations
are
increasingly
subjected
to
hazardous
events
threats,
which
can
be
critical
for
their
business
operations
performance.
these
settings,
likely
experience
high‐cost
impact
if
they
unprepared
when
a
crisis
strikes.
This
is
more
challenging
small
medium
enterprises
(SMEs)
that,
due
limited
organizational
financial
resources,
called
resilient
providing
an
effective
response
such
threats
safeguard
interests
of
key
stakeholders
protect
reputation
brand.
Business
continuity
management
(BCM)
commonly
known
as
one
most
processes
used
by
cope
with
emergencies
continue
or
resume
operations,
thus
contributing
strengthen
resilience
(OR).
Based
on
literature
review,
this
study
provides
overview
BCM
highlighting
main
implementation
requirements,
challenges,
contribution
enhance
OR.
It
also
proposes
conceptual
framework
that
shows
how
functional
strongly
connected
OR,
especially
SMEs.
Finally,
implications
scholars,
practitioners,
policy‐makers
provided
recall
research
evidence
inspire
future
investigations.
