Business Ethics the Environment & Responsibility,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 25, 2025
ABSTRACT
The
contemporary
world
is
witnessing
the
pervasive
diffusion
of
artificial
intelligence
(AI)
across
diverse
societal
domains.
Concurrently,
implementation
these
technologies
in
numerous
management
areas
raises
novel
and
critical
ethical
considerations.
Considering
that
AI
not
a
neutral
technology,
this
study
employs
bibliometric
approach
to
conduct
systematic
literature
review,
aiming
understand
evolution
nascent
field
within
studies.
Our
analysis
limited
publications
from
2016
onward,
year
widely
recognized
as
marking
onset
significant
dissemination.
By
examining
recent
years
phenomenon,
our
work
reveals
fragmented
field.
To
investigate
thematic
evolution,
we
used
Cobo
method,
partitioning
corpus
into
three
distinct
time
slices
with
cut‐off
points
at
2020
2022.
findings
indicate
that,
despite
emergence
key
themes
substantial
body
research
exploring
both
technical
philosophical
standpoints,
remains
its
initial
stages
development.
This
underscores
increasing
relevance
science
concerning
responsible
application
technologies.
Consequently,
area
presents
considerable
opportunities
for
future
employing
managerial
theoretical
frameworks,
particularly
relation
antecedents
adoption
implications
leadership.
Technological Forecasting and Social Change,
Год журнала:
2023,
Номер
192, С. 122579 - 122579
Опубликована: Апрель 21, 2023
Artificial
intelligence
(AI)
is
a
set
of
rapidly
expanding
disruptive
technologies
that
are
radically
transforming
various
aspects
related
to
people,
business,
society,
and
the
environment.
With
proliferation
digital
computing
devices
emergence
big
data,
AI
increasingly
offering
significant
opportunities
for
society
business
organizations.
The
growing
interest
scholars
practitioners
in
has
resulted
diversity
research
topics
explored
bulks
scholarly
literature
published
leading
outlets.
This
study
aims
map
intellectual
structure
evolution
conceptual
overall
Technological
Forecasting
Social
Change
(TF&SC).
uses
machine
learning-based
structural
topic
modeling
(STM)
extract,
report,
visualize
latent
from
literature.
Further,
disciplinary
patterns
examined
with
additional
objective
assessing
impact
AI.
results
reveal
eight
key
topics,
out
which
concerning
healthcare,
circular
economy
sustainable
supply
chain,
adoption
by
consumers,
decision-making
showing
rising
trend
over
years.
influence
on
disciplines
such
as
management,
accounting,
social
science,
engineering,
computer
mathematics.
provides
an
insightful
agenda
future
based
evidence-based
directions
would
benefit
identify
contemporary
issues
develop
impactful
solve
complex
societal
problems.
Technological Forecasting and Social Change,
Год журнала:
2023,
Номер
193, С. 122634 - 122634
Опубликована: Май 20, 2023
The
social
companionship
(SC)
feature
in
conversational
agents
(CAs)
enables
the
emotional
bond
and
consumer
relationships.
heightened
interest
SC
with
CAs
led
to
exponential
growth
publications
scattered
across
disciplines
fragmented
findings,
thus
limiting
holistic
understanding
of
domain
warrants
a
macroscopic
view
guide
future
research
directions.
present
study
fills
void
by
offering
comprehensive
literature
review
entailing
science
performance
intellectual
structure
mapping.
revealed
domain's
major
theories,
constructs,
thematic
structure.
Thematic
content
analysis
resulted
conceptual
framework
encompassing
antecedents,
mediators,
moderators,
consequences
CAs.
discusses
directions
guiding
practitioners
academicians
designing
efficient
ethical
AI
companions.
Journal of Hospitality Marketing & Management,
Год журнала:
2023,
Номер
33(3), С. 261 - 287
Опубликована: Сен. 26, 2023
ABSTRACTThis
study
examines
how
employees'
perceived
AI-supported
autonomy
influences
their
innovative
performance
in
hospitality.
Drawing
on
self-determination
theory,
we
proposed
and
examined
a
moderated
mediation
model,
positing
work
exploration
as
mediator
AI
trust
proactive
personality
the
two
moderators.
We
collected
407
valid
questionnaires
waves,
targeting
full-time
employees
working
with
technology
hospitality
industry.
Results
demonstrated
that
is
positively
related
to
innovation
via
exploration.
This
by
personality;
therefore,
who
perceive
engage
more
exploratory
activities
presence
of
personality.
The
current
illuminates
positive
role
consequent
outcomes.
Moreover,
findings
provide
suggestions
for
hotel
human
resource
practitioners
target
potential
help
them
experience
benefits
–
interaction
workplace.本研究考察了员工感知人工智能支持的自主性如何影响他们在酒店业的创新绩效.基于自我决定理论,我们提出并检验了一个有调节的中介模型,将工作探索作为中介,人工智能信任和主动型人格作为两个调节.我们分两波收集了407份有效问卷,对象是酒店业使用人工智能技术的全职员工.研究结果表明,感知人工智能支持的自主性通过探索与创新呈正相关.这种中介关系由人工智能信任和主动型人格调节;
因此,感知到人工智能支持自主性的员工在人工智能信任和主动型人格存在的情况下,会进行更多的探索性活动.目前的研究阐明了人工智能对员工自主性和随后工作结果的积极作用.此外,研究结果为酒店人力资源从业者提供了发掘有潜力员工的建议,并帮助他们在工作场所体验与人工智能互动的好处.KEYWORDS:
Artificial
intelligence
(AI)perceived
autonomyexploration,
performanceAI
trust,
AcknowledgmentsThe
authors
would
like
thank
support
Key
Project
National
Social
Science
Fund
China(22&ZD194).Disclosure
statementNo
conflict
interest
was
reported
author(s).Additional
informationFundingThis
supported
China
[22&ZD194].
Journal of Knowledge Management,
Год журнала:
2024,
Номер
28(7), С. 1963 - 1977
Опубликована: Фев. 7, 2024
Purpose
Aiming
to
resolve
cross-cultural
paradoxes
in
combining
artificial
intelligence
(AI)
with
human
(HI)
for
international
humanitarian
logistics,
this
paper
aims
adopt
an
unorthodox
Yin–Yang
dialectic
approach
address
how
AI–HI
interactions
can
be
interpreted
as
a
sophisticated
knowledge
creation
(KC)
system
that
enables
more
effective
decision-making
providing
relief
across
borders.
Design/methodology/approach
This
is
conceptual
and
pragmatic
nature,
whereas
its
structure
design
follows
the
requirements
of
real
impact
study.
Findings
Based
on
experimental
information
logical
reasoning,
authors
first
identify
three
critical
challenges
collaboration:
building
KC
system,
integrative
AI
HI
moral
judgement
processing
moral-related
emotions
collaboration.
Then
applying
interpret
Klir’s
epistemological
frame
(1993),
propose
unconventional
stratified
understanding
logistics
cultures.
Practical
implications
aids
not
only
deeply
complex
issues
stemming
from
cultural
cognitions
context
cross-border
but
also
equips
culturally-diverse
stakeholders
effectively
navigate
these
their
potential
ramifications.
It
enhances
process
optimizes
synergy
between
logistics.
Originality/value
The
originality
lies
use
cognitive
methodology
metaphorize
dynamic
genesis
AI-HI
science
management,
applies
game
theory,
multi-objective
optimization
Markov
decision
operationalize
framework
Journal of Engineering Research and Reports,
Год журнала:
2024,
Номер
26(7), С. 244 - 268
Опубликована: Июнь 27, 2024
The
increasing
integration
of
Artificial
Intelligence
(AI)
systems
in
diverse
sectors
has
raised
concerns
regarding
transparency,
trust,
and
ethical
data
handling.
This
study
investigates
the
impact
Explainable
AI
(XAI)
models
robust
information
governance
standards
on
enhancing
use
customer
data.
A
mixed-methods
approach
was
employed,
combining
a
comprehensive
literature
review
with
survey
342
respondents
across
various
industries.
findings
reveal
that
implementation
XAI
significantly
increases
user
trust
compared
to
black-box
models.
Additionally,
strong
positive
correlation
found
between
adoption
data,
highlighting
importance
transparency
frameworks
mechanisms.
Furthermore,
underscores
critical
role
education
fostering
facilitating
informed
decision-making
interactions.
results
emphasize
need
for
organizations
prioritize
techniques,
establish
frameworks,
invest
education,
foster
culture
use.
These
recommendations
provide
roadmap
harness
benefits
while
mitigating
potential
risks
ensuring
responsible
trustworthy
practices.
Sustainability,
Год журнала:
2024,
Номер
16(7), С. 2686 - 2686
Опубликована: Март 25, 2024
The
public
sector
presents
important
steps
for
digital
transformation.
Digital
transformation
uses
a
series
of
tools
and
methods
to
improve
the
relationship
with
citizens
benefits.
This
paper
explores
role
artificial
intelligence
(AI)
in
governance
processes
provides
institutions
insight
regarding
impact
integrating
chatbot
communication
when
interacting
citizens.
present
research
an
analysis
socio-economic
factors
that
determine
use
tools,
i.e.,
propensity
interact
more
administration
as
result
improved
through
virtual
assistants,
highlights
implications
AI
improving
services
towards
civil
society
by
determining
degree
satisfaction
on
aspects
such
reduced
waiting
times
queues,
access
information
regardless
traditional
working
hours
servants,
quicker
execution
operations,
et
al.
results,
derived
from
507
sets
responses
obtained
online
questionnaire,
indicate
number
variables,
residential
environment,
employment
status,
household
income
education
level,
significantly
effectiveness
mediating
citizen
government.
