Journal of Decision System,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 22
Published: Nov. 27, 2024
Generative
Artificial
Intelligence
(genAI)
is
the
latest
evidence
of
transformative
value
AI
in
organisations.
One
promising
avenue
software
engineering,
where
genAI
can
contribute
to
coding
by
pairing
with
developers.
Based
on
a
sample
global
companies,
two
key
findings
emerge
from
an
analysis
productivity
impact
pair
coding.
Coding
quality
negatively
correlated
throughput
gains,
while
quality-adjusted
gains
depend
extent
which
firms
have
deployed
capabilities
form
data,
skills
upgrading
and
governance.
As
observed
other
digital
technologies,
success
using
closely
linked
complementary
technical
organisational
resources.
Business Horizons,
Journal Year:
2024,
Volume and Issue:
67(5), P. 615 - 627
Published: May 24, 2024
The
new
generative
AI
paradigm
offers
unprecedented
opportunities
for
users
to
tap
into.
capabilities
are
increasingly
helpful
in
creative
and
knowledge-intensive
domains
that
have
long
been
considered
a
territory
of
human
expertise.
breed
chatbots
is
based
on
large
language
models,
they
overcome
many
constraints
plague
the
everyday
use
previous
technologies.
This
article
employs
theory
affordances
understand
how
ChatGPT
facilitates
(i.e.,
affords)
disaffords)
usefulness
chatbots.
We
further
divide
two
distinct
yet
interrelated
dimensions
affordances:
creational
conversational.
Using
29
interviews
with
professionals
using
various
sectors,
we
identify
three
(content
creation
enhancement,
knowledge
acquisition
creativity
augmentation,
task
automation)
conversational
(contextual
sensitivity,
interactive
accessibility,
human–AI
workflow
synergy)
affordances.
Creational
refer
system's
ability
produce
novel
outputs
as
well
automate
routine
work,
whereas
encompass
variety
interaction
possibilities
an
system.
Interestingly,
both
also
involve
disaffordances
limit
types
systems.
Furthermore,
introduce
integrated
framework
shows
reinforce
each
other
via
meta-affordances
accumulation,
adaptability.
illustrate
our
findings
practical
examples
offer
guidelines
these
emerging
company
settings.
Business Horizons,
Journal Year:
2024,
Volume and Issue:
67(5), P. 511 - 523
Published: April 6, 2024
Generative
AI,
particularly
ChatGPT,
creates
new
managerial
concerns.
This
article
addresses
a
crucial
challenge:
While
employees
are
including
the
tool
as
their
private
knowledge
assistant
in
many
aspects
of
daily
work,
it
is
difficult
for
managers
to
see
and
understand
impact
within
organization.
There
more
literature
on
what
ChatGPT
means
business,
but
we
cannot
say
much
long
uninformed
about
its
actual
use.
So,
getting
an
insider's
perspective
needed
think
consequences
organizations.
The
grounded
qualitative
study
employees'
experiences
interacting
with
among
50
early
adopters.
First,
show
how
employee-ChatGPT
relations
develop
from
private,
experimental
use
into
integral
part
work.
Second,
identify
six
affordances:
searching
information,
brainstorming
ideas,
structuring
content,
writing
first
draft,
embellishing
text,
proofing
Further,
highlight
three
looming
side
effects
that
threaten
ties,
quality
organizations,
work
roles
configured.
Accordingly,
this
offers
guidance
managing
ChatGPT-empowered
workforce
way
aims
mitigate
these
while
harnessing
opportunities.
International Journal of Tourism Cities,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 29, 2024
Purpose
The
purpose
of
this
paper
is
to
explore
how
GenAI
can
help
companies
achieve
a
higher
level
hyper-segmentation
and
hyper-personalization
in
the
tourism
industry,
as
well
show
importance
disruptive
tool
for
marketing.
Design/methodology/approach
This
used
Web
Science
Google
Scholar
databases
provide
updated
studies
expert
authors
industry.
Analysing
modalities
through
their
new
challenges
tourists,
cities
companies.
Findings
reveal
that
technology
exponentially
improves
consumers’
segmentation
personalization
products
services,
allowing
organizations
create
tailored
content
real-time.
That
why
concept
substantially
focused
on
customer
(understood
segment
one)
his
or
her
preferences,
needs,
personal
motivations
purchase
antecedents,
it
encourages
design
services
with
high
individual
scalability
performance
called
hyper-personalization,
never
before
seen
Indeed,
contextualizing
experience
an
important
way
enhance
personalization.
Originality/value
also
contributes
enhancing
bootstrapping
literature
industry
because
field
study,
its
functional
operability
incubation
stage.
Moreover,
viewpoint
facilitate
researchers
successfully
integrate
into
different
travel
activities
without
expecting
utopian
results.
Recently,
there
have
been
no
tackle
methodologies
Business Horizons,
Journal Year:
2024,
Volume and Issue:
67(5), P. 595 - 606
Published: May 21, 2024
The
ubiquity
of
chatbots
continues
to
expand
offering
a
multitude
benefits
for
firms.
While
acknowledging
the
capabilities
AI
handle
customer
interactions
and
improve
response
times,
we
critically
examine
several
challenges
they
present
-
including
interoperability
challenges,
data
protection
concerns,
biased
output.
This
research
presents
novel
framework
managers
assess
firm's
readiness
adopt
chatbot
technology
through
lens
Technology
Acceptance
Model
(TAM)
which
has
been
adapted
account
critical
associated
with
emerging
technology.
Incorporating
four
factors
namely
subjective
norms,
compatibility,
facilitating
conditions
trust
allows
more
holistic
assessment
framework,
together
tool,
provides
comprehensive
mechanism
managerial
decision-making,
focusing
on
adoption
enhancing
strategic
implementation
these
technologies
in
service,
sales,
marketing
business
functions.
By
exploring
extended
factors,
our
article
offers
an
in-depth
perspective
implications
integrating
into
processes,
ensuring
informed
approach
adoption.
Sensors,
Journal Year:
2025,
Volume and Issue:
25(5), P. 1611 - 1611
Published: March 6, 2025
Population
aging
is
an
inevitable
trend
in
contemporary
society,
and
the
application
of
technologies
such
as
human-machine
interaction,
assistive
healthcare,
robotics
daily
service
sectors
continues
to
increase.
The
lower
limb
exoskeleton
rehabilitation
robot
has
great
potential
areas
enhancing
human
physical
functions,
training,
assisting
elderly
disabled.
This
paper
integrates
structural
characteristics
limb,
motion
mechanics,
gait
features
design
a
biomimetic
structure
proposes
integrated
robot.
Human
data
are
collected
using
Optitrack
optical
3D
capture
system.
SolidWorks
modeling
software
Version
2021
used
create
virtual
prototype
exoskeleton,
kinematic
analysis
performed
standard
Denavit-Hartenberg
(D-H)
parameter
method.
Kinematic
simulations
carried
out
Matlab
Robotic
Toolbox
R2018a
with
derived
D-H
parameters.
A
was
fabricated
tested
verify
validity
controller
based
on
BP
fuzzy
neural
network
PID
control
designed
ensure
stability
walking.
By
comparing
two
sets
simulation
results,
it
shown
that
outperforms
other
methods
terms
overshoot
settling
time.
specific
conclusions
follows:
after
multiple
walking
tests,
robot's
process
proved
be
relatively
safe
stable;
when
control,
there
no
significant
oscillation,
5.5%
time
0.49
s,
but
speed
slow,
approximately
0.18
m/s,
stride
length
about
32
cm,
cycle
duration
1.8
s.
model
proposed
this
can
effectively
assist
patients
recovering
their
ability
walk.
However,
still
faces
challenges,
slow
speed,
large
size,
heavy
weight,
which
need
optimized
improved
future
research.
foresight,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 6, 2025
Purpose
This
study
aims
to
investigate
the
relevance,
accuracy,
specificity
and
justification
of
investment
recommendations
generative
artificial
intelligence
(GenAI)
chatbots
for
different
capitals
countries
(UK
Bulgaria).
Design/methodology/approach
A
two-stage
mixed
methods
approach
was
used.
Prompts
were
queried
into
OpenAI’s
ChatGPT,
Microsoft
Bing
Google
Bard
(now
Gemini).
Finance
practitioners
finance
lecturers
assessed
chatbots’
through
an
online
questionnaire
using
a
five-point
Likert
scale.
The
Chi-squared
test,
Wilcoxon-signed
ranks
Mann–Whitney
U
test
Friedman
used
data
analysis
compare
GenAIs’
UK
Bulgaria
across
amounts
capital
assess
consistency
chatbots.
Findings
GenAI
responses
found
perform
medium-to-high
in
terms
justification.
For
sample,
amount
had
marginal
effect
but
prompt
timing
interesting
impact.
Unlike
British
application,
did
not
significantly
influence
Bulgarian
respondents’
evaluations.
While
mean
sample
slightly
higher,
these
differences
statistically
significant,
indicating
that
performed
similarly
both
Bulgaria.
Originality/value
assesses
two
periods,
countries.