Global Journal of Flexible Systems Management,
Год журнала:
2024,
Номер
25(3), С. 445 - 466
Опубликована: Июль 1, 2024
Abstract
In
the
era
of
digital
transformation,
businesses
must
innovate
and
adapt
to
sustain
a
competitive
edge.
This
dynamic
environment
compels
reevaluation
traditional
management
practices,
highlighting
need
for
highly
flexible
systems.
Flexibility,
defined
as
ability
organizational
resources,
processes,
strategies
in
response
environmental
changes
such
rapid
technological
advancements,
is
crucial.
Our
systematic
review
47
studies
investigates
how
transformation
influences
performance
measurement
systems
across
various
industries
global
contexts.
We
found
that
fosters
dynamism
adaptability
these
study
integrates
strategic,
organizational,
information
flexibility
concepts
are
essential
effective
adaptation
resilience.
findings
underscore
shifts
towards
decision-making
agility,
inclusivity,
sustainability,
stressing
significant
role
human
resources
adapting
imperatives.
advocate
comprehensive
approach
literacy,
upholds
ethical
standards,
promotes
continuous
skill
development,
enhances
strategic
adaptability.
Practical
implications
suggest
integrating
technologies
into
strategies,
utilizing
real-time
metrics
agile
emphasizing
sustainable
practices
improve
transparency
stakeholder
trust.
These
crucial
optimizing
age.
International Journal of Information Management Data Insights,
Год журнала:
2024,
Номер
4(1), С. 100232 - 100232
Опубликована: Март 29, 2024
Large
language
models
(LLMs)
have
received
considerable
interest
in
the
field
of
natural
processing
(NLP)
owing
to
their
remarkable
ability
generate
clear,
consistent,
and
contextually
relevant
materials.
Among
numerous
LLMs,
ChatGPT
(Generative
Pre-trained
Transformer
for
Chatbots)
is
emerging
as
a
prominent
prospective
tool
developing
conversational
agents
such
chatbots.
However,
there
need
clear
conceptual
understanding
ChatGPT's
potential
implications
industry
its
role
marketing.
This
study
explores
adoption
marketing
examines
theories
that
may
influence
by
marketers
consumers,
well
marketers.
discusses
how
allow
more
personalized
engaging
content,
better
customer
experience,
improved
ROI.
also
brings
challenges,
including
ethical
considerations
new
skill
development.
future
research
opportunities
other
generative
artificial
intelligence
technologies
The
goal
provide
insights
organizations
consider
implementing
these
technologies,
contribute
literature
on
Artificial
Intelligence
(AI)
use
Generative
AI
Technological Forecasting and Social Change,
Год журнала:
2023,
Номер
199, С. 123076 - 123076
Опубликована: Дек. 14, 2023
With
the
continuous
intervention
of
AI
tools
in
education
sector,
new
research
is
required
to
evaluate
viability
and
feasibility
extant
platforms
inform
various
pedagogical
methods
instruction.
The
current
manuscript
explores
cumulative
published
literature
date
order
key
challenges
that
influence
implications
adopting
models
Education
Sector.
researchers'
present
works
both
favour
against
AI-based
applications
within
Academic
milieu.
A
total
69
articles
from
a
618-article
population
was
selected
diverse
academic
journals
between
2018
2023.
After
careful
review
articles,
presents
classification
structure
based
on
five
distinct
dimensions:
user,
operational,
environmental,
technological,
ethical
challenges.
recommends
use
ChatGPT
as
complementary
teaching-learning
aid
including
need
afford
customized
optimized
versions
tool
for
teaching
fraternity.
study
addresses
an
important
knowledge
gap
how
enhance
educational
settings.
For
instance,
discusses
interalia
range
AI-related
effects
learning
creative
prompts,
training
datasets
genres,
incorporation
human
input
data
confidentiality
elimination
bias.
concludes
by
recommending
strategic
solutions
emerging
identified
while
summarizing
ways
encourage
wider
adoption
other
sector.
insights
presented
this
can
act
reference
policymakers,
teachers,
technology
experts
stakeholders,
facilitate
means
sector
more
generally.
Moreover,
provides
foundation
future
research.
Journal of Business Research,
Год журнала:
2024,
Номер
180, С. 114737 - 114737
Опубликована: Май 24, 2024
Generative
Artificial
Intelligence
(GAI)
is
witnessing
a
lot
of
adoption
across
industries,
but
literature
yet
to
fully
document
the
nuances
these
applications.
We
develop
comprehensive
framework
for
understanding
factors
that
affect
trust
in
online
grocery
shopping
(OGS)
using
GAI
chatbots.
Our
exploratory
study
was
conducted
via
interviews,
which
helped
build
our
model.
integrate
Elaboration
Likelihood
Model
(ELM)
and
Status
Quo
Bias
(SQB)
theory
Unified
Framework
Trust
on
Technology
Platforms.
In
confirmatory
study,
by
analyzing
372
responses
from
users,
structural
equation
modelling
(SEM),
we
initially
validate
path
Subsequently,
used
fuzzy
set
qualitative
comparative
analysis
(fsQCA)
check
causal
combinations
explain
different
levels.
Apart
perceived
regret
avoidance,
all
other
had
significant
effect
attitude
trust.
Perceived
anthropomorphism
moderated
associations
between
interaction
quality,
credibility,
threat,
attitude.
Journal of Manufacturing Technology Management,
Год журнала:
2024,
Номер
35(9), С. 94 - 121
Опубликована: Май 27, 2024
Purpose
This
study
offers
practical
insights
into
how
generative
artificial
intelligence
(AI)
can
enhance
responsible
manufacturing
within
the
context
of
Industry
5.0.
It
explores
manufacturers
strategically
maximize
potential
benefits
AI
through
a
synergistic
approach.
Design/methodology/approach
The
developed
strategic
roadmap
by
employing
mixed
qualitative-quantitative
research
method
involving
case
studies,
interviews
and
interpretive
structural
modeling
(ISM).
visualizes
elucidates
mechanisms
which
contribute
to
advancing
sustainability
goals
Findings
Generative
has
demonstrated
capability
promote
various
objectives
5.0
ten
distinct
functions.
These
multifaceted
functions
address
multiple
facets
manufacturing,
ranging
from
providing
data-driven
production
enhancing
resilience
operations.
Practical
implications
While
each
identified
function
independently
contributes
under
5.0,
leveraging
them
individually
is
viable
strategy.
However,
they
synergistically
other
when
systematically
employed
in
specific
order.
Manufacturers
are
advised
leverage
these
functions,
drawing
on
their
complementarities
benefits.
Originality/value
pioneers
early
enhances
performance
framework.
proposed
suggests
prioritization
orders,
guiding
decision-making
processes
regarding
where
for
what
purpose
integrate
AI.
Technovation,
Год журнала:
2024,
Номер
135, С. 103063 - 103063
Опубликована: Июнь 25, 2024
Recently,
Gen
AI
has
garnered
significant
attention
across
various
sectors
of
society,
particularly
capturing
the
interest
small
business
due
to
its
capacity
allow
them
reassess
their
models
with
minimal
investment.
To
understand
how
and
medium-sized
firms
have
utilised
AI-based
tools
cope
market's
high
level
turbulence
caused
by
COVID-19
pandemic,
geopolitical
crises,
economic
slowdown,
researchers
conducted
an
empirical
study.
Although
is
receiving
more
attention,
there
remains
a
dearth
studies
that
investigate
it
influences
entrepreneurial
orientation
ability
cultivate
resilience
amidst
market
turbulence.
Most
literature
offers
anecdotal
evidence.
address
this
research
gap,
authors
grounded
theoretical
model
hypotheses
in
contingent
view
dynamic
capability.
They
tested
using
cross-sectional
data
from
pre-tested
survey
instrument,
which
yielded
87
useable
responses
medium
enterprises
France.
The
used
variance-based
structural
equation
modelling
commercial
WarpPLS
7.0
software
test
model.
study's
findings
suggest
EO
influence
on
building
as
higher-order
lower-order
capabilities.
However,
negative
moderating
effect
path
joins
resilience.
results
assumption
will
positive
effects
capabilities
competitive
advantage
not
always
true,
linear
does
hold,
consistent
some
scholars'
assumptions.
offer
contributions
open
new
avenues
require
further
investigation
into
non-linear
relationship
International Journal of Information Management Data Insights,
Год журнала:
2024,
Номер
4(2), С. 100250 - 100250
Опубликована: Май 16, 2024
Social,
economic,
and
environmental
development
together
contributes
to
sustainable
development.
Social
sustainability
(SS)
is
essential
create
just
inclusive
societies
where
people's
basic
needs
are
satisfied,
human
rights
protected,
social
cohesion
fairness
exist.
To
achieve
holistic,
development,
policymakers
management
must
consider
SS
economic
considerations.
Employees'
behavioral
interactions
impact
business
ethics.
Micro,
small,
medium
enterprises
(MSMEs)
can
learn
from
artificial
intelligence
(AI)
for
better
decision-making,
operational
optimization,
increased
employability,
employee
empowerment.
Therefore,
this
research
aims
assess
how
technology
affects
ethics
in
the
MSMEs.
We
studied
readiness
among
MSME
companies
developing
nations.
analyzed
AI
using
theory
of
technology-organization-environment
(TOE).
Further,
we
also
its
influence
on
SS,
which
measured
through
skill
work
conditions,
environment,
safety
collected
data
236
employees.
used
Structural
Equation
Modeling
SmartPLS
software
analysis.
The
findings
indicated
that
directly
impacts
SS.
found
employees'
ethical
behavior.
observed
significantly
indicating
partial
mediation.
This
study
has
substantial
theoretical
managerial
implications
as
leadership
need
an
component
