Mapping the landscape of Islamic work ethic: topic modeling and key research drivers
Journal of Islamic accounting and business research,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 24, 2025
Purpose
This
study
aims
to
dissect
and
understand
the
latent
themes
of
Islamic
work
ethic
(IWE)
explore
driving
factors
IWE
research.
Design/methodology/approach
Structural
topic
modeling
(STM),
a
sophisticated
machine
learning
technique,
was
used
analyze
corpus
205
articles
sourced
from
Scopus
database.
These
cover
36
years
research
on
IWE,
1988
2024.
Moreover,
negative
binomial
regression
applied
examine
Findings
The
STM
analysis
unfolds
ten
topics
in
conjunction
with
including
individual
success,
workplace
dynamics,
organizational
ethics,
knowledge
management,
employee
citizenship
behavior,
financial
job
satisfaction,
commitment,
performance
enhancement
leadership.
further
outputs
included
word
clouds,
prevalence
proportions,
correlation
matrix,
heatmap,
relationship
metadata,
prominence
publishing
journals
and,
finally,
illustrating
trends
future
prospects
IWE.
results
reveal
that
number
authors,
article
age,
journal
indexing,
authors
multiple
countries
references
are
strong
drivers
fostering
by
having
significant
positive
impacts
total
citations.
Social
implications
insights
this
provide
valuable
guidance
for
businesses
organizations
looking
integrate
principles
into
their
operations.
By
promoting
values
such
as
fairness,
hard
ethical
can
foster
more
inclusive
morally
grounded
culture.
This,
turn,
may
lead
enhanced
greater
commitment
improved
overall
performance.
Additionally,
emphasis
practices
contribute
broader
societal
benefits,
increased
trust
business
stronger
alignment
social
responsibility
initiatives.
Originality/value
is
unique
explores
characteristics
literature
through
provides
directions.
In
addition,
also
examines
Язык: Английский
Mapping the research on halal industry: a retrospective analysis
Journal of Islamic marketing,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 13, 2024
Purpose
This
review
paper
aims
to
provide
a
comprehensive
retrospective
analysis
of
the
research
landscape
in
Halal
industry
through
threefold
approach,
including
bibliometric
analysis,
latent
theme
identification
and
examination
driving
factors
citations.
Design/methodology/approach
A
total
2,510
documents,
identified
from
Scopus
systematic
search,
were
considered
for
review.
The
methods
included
domain,
application
machine
learning
structural
topic
modeling
(STM)
identify
themes
negative
binomial
regression
estimate
impact
paper,
author
geographical
characteristics
on
citation
rates.
Findings
In
addition
insights,
STM
uncovered
10
key
topics
within
literature,
certification
processes,
dietary
practices,
consumer
behavior,
ethical
considerations,
supply
chain
management,
market
dynamics,
tourism,
verification
methods,
regulatory
frameworks
food
production
marketing.
Positive
associations
with
rates
found
abstract
length,
number
keywords,
age,
references,
funding,
authors
international
collaboration,
while
association
was
observed
authorship
Malaysia.
Originality/value
besides
providing
insights
into
dynamics
patterns,
also
guides
future
avenues
industry.
Язык: Английский
Topic Modelling of Management Research Assertions to Develop Insights on the Role of Artificial Intelligence in Enhancing the Value Propositions of New Companies
Опубликована: Март 11, 2024
The
article
suggests
a
Value
Proposition
(VP)
framework
that
enables
the
analysis
of
beneficial
impact
Artificial
Intelligence
(AI)
resources
and
capabilities
on
specific
VP
development
activities.
To
develop
such
framework,
we
examined
existing
management
research
publications
to
identify
extract
assertions
could
be
used
as
source
actionable
insights
for
new
growth-oriented
companies.
extracted
were
assembled
into
corpus
texts
subjected
topic
modelling
–
machine
learning
approach
natural
language
processing
is
latent
themes
in
large
corpora
text
documents.
modeling
resulted
identification
seven
topics.
Each
defined
by
set
most
frequent
words
co-occurring
distinctive
subset
interpreted
terms
activities
constituting
core
elements
framework.
We
then
each
activity
its
potential
enhanced
employing
AI
capabilities.
interpretation
results
led
topics:
1)
created;
2)
Stakeholder
value
propositions;
3)
Foreign
market
entry;
4)
Customer
base;
5)
Continuous
improvement;
6)
cross-border
operations;
7)
Company
image.
uniqueness
adopted
consists
quality
topics
an
i.e.
capacity
generate
practitioners.
additional
there
enhance
emerging
four
framework:
created,
propositions,
entry,
base.
More
importantly,
found
greatest
number
related
are
part
base
topic,
i.e.,
directly
growth
In
addition,
company’s
customer
continuously
through
positive
loop
enabled
focused
improvement
amount
alignment
companies’
entry.
Thus,
entry
appears
factor
helps
understanding
Язык: Английский
Topic Modelling of Management Research Assertions to Develop Insights on the Role of Artificial Intelligence in Enhancing the Value Propositions of New Companies
Опубликована: Март 13, 2024
The
article
suggests
a
Value
Proposition
(VP)
framework
that
enables
the
analysis
of
beneficial
impact
Artificial
Intelligence
(AI)
resources
and
capabilities
on
specific
VP
development
activities.
To
develop
such
framework,
we
examined
existing
management
research
publications
to
identify
extract
assertions
could
be
used
as
source
actionable
insights
for
new
growth-oriented
companies.
extracted
were
assembled
into
corpus
texts
subjected
topic
modelling
–
machine
learning
approach
natural
language
processing
is
latent
themes
in
large
corpora
text
documents.
modeling
resulted
identification
seven
topics.
Each
defined
by
set
most
frequent
words
co-occurring
distinctive
subset
interpreted
terms
activities
constituting
core
elements
framework.
We
then
each
activity
its
potential
enhanced
employing
AI
capabilities.
interpretation
results
led
topics:
1)
created;
2)
Stakeholder
value
propositions;
3)
Foreign
market
entry;
4)
Customer
base;
5)
Continuous
improvement;
6)
cross-border
operations;
7)
Company
image.
uniqueness
adopted
consists
quality
topics
an
i.e.
capacity
generate
practitioners.
additional
there
enhance
emerging
four
framework:
created,
propositions,
entry,
base.
More
importantly,
found
greatest
number
related
are
part
base
topic,
i.e.,
directly
growth
In
addition,
company’s
customer
continuously
through
positive
loop
enabled
focused
improvement
amount
alignment
companies’
entry.
Thus,
entry
appears
factor
helps
understanding
Язык: Английский
Topic Modelling of Management Research Assertions to Develop Insights into the Role of Artificial Intelligence in Enhancing the Value Propositions of Early-Stage Growth-Oriented Companies
Applied Sciences,
Год журнала:
2024,
Номер
14(8), С. 3277 - 3277
Опубликована: Апрель 13, 2024
The
article
suggests
a
Value
Proposition
(VP)
framework
that
enables
analysis
of
the
beneficial
impact
Artificial
Intelligence
(AI)
resources
and
capabilities
on
specific
VP
activities.
To
develop
such
framework,
we
examined
existing
business
management
research
publications
to
identify
extract
assertions
could
be
used
as
source
actionable
insights
for
early-stage
growth-oriented
companies.
extracted
were
assembled
into
corpus
texts
was
subjected
topic
modelling
analysis—a
machine
learning
approach
natural
language
processing
is
latent
themes
in
large
corpora
text
documents.
resulted
identification
seven
topics.
Each
defined
by
set
most
frequent
words
co-occurring
distinctive
subset
interpreted
terms
activities
constituting
core
elements
framework.
We
then
each
activity
its
potential
enhanced
employing
AI
capabilities.
interpretation
results
led
topics:
(1)
created;
(2)
Stakeholder
value
propositions;
(3)
Foreign
market
entry;
(4)
Customer
base;
(5)
Continuous
improvement;
(6)
Cross-border
operations;
(7)
Company
image.
uniqueness
adopted
consists
quality
topics
an
i.e.,
capacity
generate
practitioners.
additional
there
enhance
emerging
four
framework:
created,
propositions,
entry,
base.
More
importantly,
found
greatest
number
related
are
part
base
topic,
directly
growth
In
addition,
company’s
customer
continuously
through
positive
loop
enabled
focused
improvement
amount
alignment
companies’
entry.
Thus,
multiple-stakeholder
perspective
development
foreign
entry
appears
factor
helps
understanding
enhancement
Язык: Английский