VINE Journal of Information and Knowledge Management Systems,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 19, 2024
Purpose
Green
knowledge
management
(GKM)
has
become
a
more
prominent
research
topic
because
of
its
ability
to
balance
business
sustainability,
performance
and
society's
well-being.
The
purpose
this
paper
is
study
how
GKM
literature
evolved
before
after
two
major
events:
the
introduction
sustainable
development
goals
(SDGs)
first
conceptualization
GKM.
In
paper,
holistically
examined
following
stages
cycle,
framework
for
organizational
knowledge-processing
phases.
Design/methodology/approach
This
performed
bibliometric
analysis
1,274
papers
related
from
1995
until
January
2024.
Findings
Over
three
decades,
outlined
intertwined
relationships
between
core
themes
in
domain
such
as
context
corporate
social
responsibilities,
(SD),
competitive
advantage
so
on,
popular
theories.
an
“industrial
technical
view”
emerging
perspective
“social
process.”
Emerging
were
identified
green
innovation,
information
security
or
learning
sub-themes
with
key
technologies
like
block-chain,
big
data
analytics
artificial
intelligence.
Future
can
explore
integration,
entrepreneurship,
supply
chain
integration
capabilities.
Practical
implications
review
offers
practitioners
holistic
picture
tackle
environmental
concerns
increase
businesses'
advantages.
provides
insights
into
future
practices
GKM,
incorporating
technological
advancement,
gain
intellectual
capital
build
dynamic
capabilities
sustainability.
Originality/value
To
best
authors’
knowledge,
provide
comprehensive
literature,
earliest
forms
responsibility
SD
SDGs,
combination
evolution
cycle
stages.
Review of Business and Economics Studies,
Journal Year:
2025,
Volume and Issue:
12(4), P. 6 - 28
Published: Feb. 11, 2025
The
purpose
of
the
study
is
to
explore
Artificial
intelligence
(AI)
integration
into
sustainable
marketing
techniques
highlights
a
transformational
potential,
combining
modern
technology
with
urgent
needs
sustainability.
This
article
thoroughly
examines
how
AI
plays
crucial
role
in
improving
by
enabling
more
efficient
and
socially
responsible
tactics
that
support
sustainability
goals.
Method:
AI-driven
insights
analytics
enhance
decision-making
processes,
improve
customer
engagement,
increase
impact
campaigns
on
environmental
social
outcomes
reviewing
existing
literature
practices.
conversation
delves
difficulties
moral
aspects
involved
using
marketing,
such
as
issues
related
data
privacy,
algorithmic
bias,
importance
strategic
framework
focuses
development
Results:
investigation
shows
promising
yet
intricate
environment,
where
seen
tool
for
balancing
economic
goals
need
responsibility.
research
stresses
continuous
research,
multidisciplinary
teamwork,
policy
creation
maximize
shaping
practices
intelligence.
provides
valuable
contributions
scholarly
discussion
around
artificial
intelligence,
while
also
offering
practical
guidance
professionals
operating
this
dynamic
commercial
sector.
Library Hi Tech,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Feb. 9, 2024
Purpose:
The
study
aims
to
analyze
the
synergy
of
Artificial
Intelligence
(AI),
with
scientometrics,
webometrics,
and
bibliometrics
unlock
emphasize
potential
applications
benefits
AI
algorithms
in
these
fields.
Design/methodology/approach:
By
conducting
a
systematic
literature
review,
our
aim
is
explore
revolutionizing
methods
used
measure
scholarly
communication,
identify
emerging
research
trends,
evaluate
impact
scientific
publications.
To
achieve
this,
we
implemented
comprehensive
search
strategy
across
reputable
databases
such
as
ProQuest,
IEEE
Explore,
EBSCO,
Web
Science,
Scopus.
Our
encompassed
articles
published
from
January
1,
2000,
September
2022,
resulting
thorough
review
61
relevant
articles.
Findings:
(i)
Regarding
application
yields
various
distinct
advantages,
analyses
publications,
citations,
prediction,
collaboration,
trend
analysis,
knowledge
mapping,
more
objective
reliable
framework.
(ii)
In
terms
are
able
enhance
web
crawling
data
collection,
link
content
social
media
recommender
systems.
(iii)
Moreover,
automation
analysis
disambiguation
authors,
co-authorship
networks,
assessment
impact,
text
mining,
systems
considered
integration
field
bibliometrics.
Originality/value:
This
covers
particularly
new
AI-enhanced
highlight
significant
prospects
this
through
AI.
The
rapid
growth
of
the
Internet
Things
(IoT)
necessitates
accurate
forecasting
technological
trends
for
organizations
to
maintain
a
competitive
edge.
This
study
addresses
gap
in
existing
literature
by
combining
social
network
analysis,
text
mining,
and
patent
data
analysis
forecast
IoT
technology
trends.
Analyzing
143,875
IoT-related
patents,
we
identified
six
distinct
clusters:
Smart
Devices
Efficiency
Technologies,
Next-generation
Communication
Networks,
Adaptive
Transmission
Protocols,
Connected
Device
Modules
Assemblies,
Blockchain
Location-Based
Narrowband
Wireless
Systems.
Technology
life
cycle
revealed
that
several
clusters
have
reached
saturation,
while
Protocols
emerged
as
an
emerging
technology.
Social
highlighted
key
groups
driving
innovation,
including
China
Electric
Power
Consortium,
Indian
Academic
Researchers,
Global
Industry
Leaders,
Collaborative
Innovators,
Telecom
Tech
Giants,
Intel's
Pioneers.
Cross-analysis
unveiled
strategic
preferences,
with
some
prioritizing
mature
technologies
others
maintaining
diversified
portfolios.
findings
contribute
deeper
understanding
landscape,
enabling
decision-making
organizations,
researchers,
policymakers.
By
aligning
strategies
trends,
identifying
opportunities,
making
informed
investments,
stakeholders
can
drive
innovation
advantage
this
rapidly
evolving
field.
study's
unique
approach
offers
valuable
insights
into
future
direction
technologies,
providing
comprehensive
view
both
advancements
collaborative
patterns
shaping
ecosystem.
