AI‐Enabled Governance in Traditional Chinese Medicine Enterprise Clusters: A Lifecycle and Stakeholder Perspective for Sustainable Development
Business Strategy & Development,
Год журнала:
2025,
Номер
8(1)
Опубликована: Янв. 10, 2025
ABSTRACT
Artificial
Intelligence
(AI)
has
emerged
as
a
transformative
tool
for
enhancing
governance
in
enterprise
clusters,
improving
competitiveness,
and
advancing
sustainable
development
goals
(SDGs).
Despite
its
potential,
the
effective
application
of
AI‐enabled
Traditional
Chinese
Medicine
(TCM)
clusters
remains
underexplored,
particularly
given
unique
challenges
posed
by
their
traditional
practices,
regulatory
frameworks,
diverse
stakeholder
dynamics.
Addressing
this
gap,
study
investigates
how
can
optimize
integration
external
enterprises
into
TCM
across
different
stages
lifecycle,
thereby
contributing
to
regional
development.
This
employs
lifecycle
model
analyze
focusing
on
factors
such
unit
product
costs,
policy
incentives,
joint
action
benefits.
By
comparing
cost
dynamics
before
after
cluster
entry,
research
maps
processes
identifies
tailored
adaptation,
maturity,
decline
stages.
The
findings
reveal
that
proactive
adaptive
enhances
sustainability
reducing
efficiency,
fostering
collaboration
among
stakeholders.
provides
dynamic
perspective
integration,
extending
theoretical
framework
organizational
research.
It
offers
policymakers
managers
actionable
insights
leveraging
achieve
development,
foster
innovation
(SDG
9),
promote
economic
growth
8).
Язык: Английский
Embracing sustainable diversity climates in hospitality and tourism: insights from prospective employees on human–robot collaboration
Journal of Sustainable Tourism,
Год журнала:
2025,
Номер
unknown, С. 1 - 21
Опубликована: Фев. 11, 2025
As
service
robots
increasingly
collaborate
with
human
employees
in
hospitality
and
tourism,
understanding
their
complex
interactions
is
crucial.
This
study
explores
prospective
employees'
perceptions
of
sustainable
diversity
climates
involving
human–robot
collaboration
using
the
Modified
Model
Goal-Directed
Behavior
(MMGB).
A
research
model
integrating
attitude,
subjective
norms,
expectancy,
perceived
behavioral
control,
desire
was
tested
through
an
online
survey
492
potential
US
employees.
Generalized
Linear
Modeling
fuzzy-set
Qualitative
Comparative
Analysis
were
applied
to
find
solutions
for
better
climates.
Results
show
that
these
factors
influence
sustainable-behavioral
intentions,differing
according
groups
development
goals
(SDGs).
Three
SDG
(efficient
allocation,
fair
distribution,
scale)
found
have
distinctiveness
similarities.
Our
findings
suggest
communicating
MMGB's
initiatives,
fostering
innovation,
tailoring
recruitment
strategies
sustainability-oriented
segments
are
key
cultivating
inclusive,
future-oriented
workplaces.
Язык: Английский
Organizational Orientation and the Effectiveness of Regional DMOs
Journal of Quality Assurance in Hospitality & Tourism,
Год журнала:
2025,
Номер
unknown, С. 1 - 41
Опубликована: Фев. 26, 2025
The
study
contributes
to
the
current
debate
on
regional
DMOs,
namely
validity
of
their
operating
models
and
effectiveness.
Several
features
DMOs'
functioning
were
identified,
indicating
a
varying
degree
obsolescence
organizational
structures,
through
qualitative
(interviews
with
experts)
quantitative
(survey
given
population
DMOs)
research.
Additionally,
directions
forms
reorientation
in
DMOs
verified,
which
will
increase
It
was
found
that
vast
majority
recognized
need
for
regardless
size,
duration
operation,
budget.
Язык: Английский
Automated workforce, financial precarities and family consumption: The importance of demand-side policies under the background of automation applications
Economic Analysis and Policy,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 1, 2024
Язык: Английский
Ancient Wonders, Modern Tech
Advances in hospitality, tourism and the services industry (AHTSI) book series,
Год журнала:
2024,
Номер
unknown, С. 325 - 350
Опубликована: Ноя. 1, 2024
Egypt's
ancient
heritage
sites
are
a
major
draw
for
global
tourism,
attracting
millions
of
visitors
each
year.
However,
effectively
managing
and
enhancing
the
visitor
experience
at
these
complex
historically
significant
locations
presents
ongoing
challenges.
This
chapter
explores
how
artificial
intelligence
(AI)
technologies
can
be
leveraged
to
improve
various
aspects
tourist
sites.
Strategic
implementation
AI
significantly
enhance
experience,
satisfaction,
overall
engagement
archaeological
treasures.
Recommendations
provided
policymakers,
tourism
authorities,
industry
stakeholders
integrate
capabilities
while
preserving
integrity
irreplaceable
cultural
assets.
The
contributes
important
insights
into
evolving
role
in
elevating
world's
most
iconic
destinations.
Язык: Английский