Information Systems and e-Business Management,
Год журнала:
2024,
Номер
unknown
Опубликована: Авг. 30, 2024
Abstract
Prescriptive
Analytics
Systems
(PAS)
represent
the
most
mature
iteration
of
business
analytics,
significantly
enhancing
organizational
decision-making.
Recently,
research
has
gained
traction,
with
various
technological
innovations,
including
machine
learning
and
artificial
intelligence,
influencing
design
PAS.
Although
recent
studies
highlight
these
developments,
rising
trend
focuses
on
broader
implications,
such
as
synergies
delegation
between
systems
users
in
decision-making
environments.
Against
this
backdrop,
we
utilized
a
systematic
literature
review
262
articles
to
build
evolving
perspective.
Guided
by
general
theory
socio-technical
thinking,
concept
an
information
artifact
directed
review.
Our
first
objective
was
clarify
essential
subsystems,
identifying
23
constituent
components
Subsequently,
delved
into
meta-level
PAS,
emphasizing
synergy
human
decision-maker
prescriptive
analytics
supporting
decisions.
From
exploration,
four
distinct
system
archetypes
emerged:
advisory,
executive,
adaptive,
self-governing
Lastly,
engaged
affordance
theory,
illuminating
action
potential
study
advances
perspective
specifically
from
viewpoint,
highlighting
six
directions,
acting
launchpad
for
future
domain.
Business & Information Systems Engineering,
Год журнала:
2023,
Номер
66(1), С. 111 - 126
Опубликована: Сен. 12, 2023
The
term
"generative
AI"
refers
to
computational
techniques
that
are
capable
of
generating
seemingly
new,
meaningful
content
such
as
text,
images,
or
audio
from
training
data.
widespread
diffusion
this
technology
with
examples
Dall-E
2,
GPT-4,
and
Copilot
is
currently
revolutionizing
the
way
we
work
communicate
each
other.
In
article,
provide
a
conceptualization
generative
AI
an
entity
in
socio-technical
systems
models,
systems,
applications.
Based
on
that,
introduce
limitations
current
agenda
for
Business
&
Information
Systems
Engineering
(BISE)
research.
Different
previous
works,
focus
context
information
and,
end,
discuss
several
opportunities
challenges
unique
BISE
community
make
suggestions
impactful
directions
Electronic Markets,
Год журнала:
2023,
Номер
33(1)
Опубликована: Дек. 1, 2023
Abstract
Recent
developments
in
the
field
of
artificial
intelligence
(AI)
have
enabled
new
paradigms
machine
processing,
shifting
from
data-driven,
discriminative
AI
tasks
toward
sophisticated,
creative
through
generative
AI.
Leveraging
deep
models,
is
capable
producing
novel
and
realistic
content
across
a
broad
spectrum
(e.g.,
texts,
images,
or
programming
code)
for
various
domains
based
on
basic
user
prompts.
In
this
article,
we
offer
comprehensive
overview
fundamentals
with
its
underpinning
concepts
prospects.
We
provide
conceptual
introduction
to
relevant
terms
techniques,
outline
inherent
properties
that
constitute
AI,
elaborate
potentials
challenges.
underline
necessity
researchers
practitioners
comprehend
distinctive
characteristics
order
harness
potential
while
mitigating
risks
contribute
principal
understanding.
International Journal of Information Management Data Insights,
Год журнала:
2024,
Номер
4(1), С. 100213 - 100213
Опубликована: Янв. 14, 2024
The
"Metaverse,"
a
term
popularized
by
Neal
Stephenson's
novel
Snow
Crash,
has
been
discussed
in
the
science
fiction
community
for
decades,
but
technological
advancements
have
only
recently
made
it
reality.
Metaverse
is
an
all-encompassing,
interconnected
virtual
environment
where
users
can
freely
communicate
with
one
another
and
digital
content.
This
article
examines
how
various
technologies,
primarily
Virtual
Reality
(VR)
Augmented
(AR),
contributed
to
development
of
(AR).
These
innovations
revolutionized
way
we
interact
media
enabling
us
genuine,
realistic
experiences.
In
addition,
examine
technologies
that
make
possible
construct
fully
realized,
functional
world.
Among
these
are
recent
advances
artificial
intelligence
(AI),
cryptocurrencies,
spatial
peripheral
computing,
other
fields.
Our
research
investigates
advantages
disadvantages
as
well
they
may
influence
future
Metaverse.
Furthermore,
explores
darker
aspects
Metaverse,
particularly
emergence
"dark
verse,"
which
underscores
potential
organized
illicit
activities
within
Internet
due
insufficient
oversight
governance
Current Opinion in Environmental Sustainability,
Год журнала:
2024,
Номер
66, С. 101411 - 101411
Опубликована: Янв. 8, 2024
The
increased
use
of
Artificial
intelligence
systems
(AI
systems)
is
associated
with
multifaceted
social,
environmental,
and
economic
consequences.
These
include
nontransparent
decision-making
processes,
discrimination,
increasing
inequalities,
rising
energy
consumption
greenhouse
gas
emissions
in
AI
model
development
application,
an
concentration
power.
By
considering
the
multidimensionality
sustainability,
this
paper
takes
steps
toward
substantiating
call
for
overarching
perspective
on
'sustainable
AI.'
It
presents
Sustainability
Criteria
Indicators
Intelligence
Systems
(SCAIS)
Framework,
assessment
framework
that
contains
a
set
19
sustainability
criteria
sustainable
67
indicators
are
based
results
critical
literature
review,
expert
workshops.
Its
interdisciplinary
approach
contributes
unique
holistic
to
facilitate
structure
discourse
AI.
Further,
it
provides
concrete
lays
foundation
developing
standards
tools
support
conscious
application
systems.
European Journal of Innovation Management,
Год журнала:
2024,
Номер
unknown
Опубликована: Авг. 1, 2024
Purpose
This
study
examines
the
existing
literature
on
generative
artificial
intelligence
(Gen
AI)
and
its
impact
across
many
sectors.
analysis
explores
potential,
applications,
challenges
of
Gen
AI
in
driving
innovation
creativity
generating
ideas.
Design/methodology/approach
The
adopts
a
comprehensive
review
approach,
carefully
assessing
current
scientific
articles
published
from
2022
to
2024.
trends
insights
derived
research.
Findings
indicates
that
has
significant
potential
augment
human
processes
as
collaborative
partner.
However,
it
is
imperative
prioritize
responsible
development
ethical
frameworks
order
effectively
tackle
biases,
privacy
concerns,
other
challenges.
significantly
transforming
business
models,
processes,
value
propositions
several
industries,
but
with
varying
degrees
effect.
indicate
also
despite
theory-driven
approach
investigating
AI's
creative
innovative
cutting-edge
applications
research
prioritizes
examining
possibilities
models.
Research
limitations/implications
Although
this
offers
picture
great
possibilities,
concurrently
underlines
necessity
for
deep
knowledge
nuances
fully
harness
capabilities.
findings
continuous
exploration
efforts
are
required
address
assure
implementation.
Therefore,
more
needed
enhancing
human-AI
collaboration
defining
norms
varied
circumstances.
Originality/value
presents
relevant
transformational
an
catalyst.
It
emphasizes
major
issues
integration.
IEEE Engineering Management Review,
Год журнала:
2024,
Номер
52(2), С. 153 - 164
Опубликована: Янв. 12, 2024
Traditionally,
ideating
new
product
innovations
is
primarily
the
responsibility
of
marketers,
engineers,
and
designers.
However,
a
rapidly
growing
interest
lies
in
leveraging
generative
artificial
intelligence
(AI)
to
brainstorm
service
ideas.
This
study
conducts
comparative
analysis
ideas
generated
by
human
professionals
an
AI
system.
The
results
blind
expert
evaluation
show
that
AI-generated
score
significantly
higher
novelty
customer
benefit,
while
their
feasibility
scores
are
similar
those
Overall,
comprise
majority
top-performing
ideas,
human-generated
scored
lower
than
expected.
executive's
emotional
cognitive
reactions
were
measured
during
check
for
potential
biases
showed
no
differences
between
idea
groups.
These
findings
suggest
that,
under
certain
circumstances,
companies
can
benefit
from
integrating
into
traditional
idea-generation
processes.
SSRN Electronic Journal,
Год журнала:
2023,
Номер
unknown
Опубликована: Янв. 1, 2023
The
term
"generative
AI''
refers
to
computational
techniques
that
are
capable
of
generating
seemingly
new,
meaningful
content
such
as
text,
images,
or
audio
from
training
data.
widespread
diffusion
this
technology
with
examples
Dall-E
2,
GPT-4,
and
Copilot
is
currently
revolutionizing
the
way
we
work
communicate
each
other.
In
article,
provide
a
conceptualization
generative
AI
an
entity
in
socio-technical
systems
models,
systems,
applications.
Based
on
that,
introduce
limitations
current
agenda
for
Business
&
Information
Systems
Engineering
(BISE)
research.
Different
previous
works,
focus
context
information
and,
end,
discuss
several
opportunities
challenges
unique
BISE
community
make
suggestions
impactful
directions
Information Technology for Development,
Год журнала:
2024,
Номер
30(4), С. 626 - 643
Опубликована: Фев. 16, 2024
This
article
focuses
on
the
AI
for
Social
Good
(AI4SG)
movement,
which
aims
to
leverage
Artificial
Intelligence
(AI)
and
Machine
Learning
(ML)
achieve
United
Nations
Sustainable
Development
Goals
(UN
SDGs).
It
argues
that,
through
AI4SG,
Big
Tech
is
attempting
advance
AI-driven
technosolutionism
within
development
policy
scholarly
space
creating
new
opportunities
rent
extraction.
The
situates
history
of
ICT4D.
also
highlights
contiguity
AI4SG
with
so-called
4th
Industrial
Revolution
(4IR),
a
framework
that
places
other
digital
innovations
at
center
national
international
industrial
agendas.
By
exploring
how
has
attempted
depoliticize
datafication,
we
thus
suggest
4IR
are
mutually
reinforcing
discourses
serve
purpose
depoliticizing
arena
by
bestowing
legitimacy
authority
reshape
spaces
epistemic
infrastructures
while
inserting
themselves,
an
unprecedented
degree,
between
citizen
(data)
state
(development
policy).
Sustainability,
Год журнала:
2025,
Номер
17(5), С. 2318 - 2318
Опубликована: Март 6, 2025
This
review
draws
on
a
systematic
literature
and
bibliometric
analysis
to
examine
how
Digital
Twins
(DTs),
Extended
Reality
(XR),
Artificial
Intelligence
(AI)
support
the
reconfiguration
of
Cyber–Physical
Systems
(CPSs)
in
modern
manufacturing.
The
aims
provide
an
updated
overview
these
technologies’
roles
CPS
reconfiguration,
summarize
best
practices,
suggest
future
research
directions.
In
two-phase
process,
we
first
analyzed
related
work
assess
current
state
assisted
manufacturing
identify
gaps
existing
reviews.
Based
insights,
adapted
PRISMA
methodology
was
applied
screen
165
articles
from
Scopus
Web
Science
databases,
focusing
those
published
between
2019
2025
addressing
DT,
XR,
AI
integration
Reconfigurable
Manufacturing
(RMSs).
After
applying
exclusion
criteria,
38
were
selected
for
final
analysis.
findings
highlight
individual
combined
impact
DTs,
processes.
DTs
notably
reduce
time
improve
system
availability,
enhances
decision-making,
XR
improves
human–machine
interactions.
Despite
advancements,
gap
exists
regarding
application
technologies,
indicating
potential
areas
exploration.
reviewed
studies
recognized
limitations,
especially
due
diverse
study
designs
methodologies
that
may
introduce
risks
bias,
yet
offers
insight
into
landscape
RMS
suggests
research.