SSRN Electronic Journal,
Год журнала:
2023,
Номер
unknown
Опубликована: Янв. 1, 2023
E-diasporas
are
networks
driven
by
human
agency,
connecting
digital
citizens
to
their
home
countries
and
diasporic
fellows
through
tools.
In
contrast,
Hyperconnected
Diasporas
(HD)
data-driven
engaged
in
extractive
activities,
often
employed
for
government
(para)diplomacy,
heavily
relying
on
social
media
extractivist
data-opolies
or
Big
Tech
platforms.
This
article
examines
the
impact
of
disruptive
technologies
e-diasporas
context
data
extractivism,
particularly
stemming
from
HD.
The
pursues
a
dual
objective:
(i)
reviewing
existing
literature
comparing
five
technologies—Blockchain,
Decentralized
Autonomous
Organizations
(DAOs),
Data
Cooperatives,
Metaverse,
ChatGPT—in
sustaining
as
(ii)
scrutinizing
associated
opportunities
risks,
including
challenges
institutional
trust
privacy
arising
study
seeks
elucidate
how
these
may
either
hinder
exacerbate
impacts
HD
e-diasporas,
characterized
human-driven
nature.
begins
with
an
introduction
HD,
followed
review
e-diasporas.
Methodologically,
it
presents
comparative
analysis
concerning
research
question
discusses
implications
e-diasporic
communities,
concluding
final
remarks.
This
study
examined
the
efficacy
of
artificial
intelligence
(AI)
technologies
in
predictive
risk
assessment
and
their
contribution
to
ensuring
business
continuity.
research
aimed
understand
how
different
AI
components,
such
as
natural
language
processing
(NLP),
AI-powered
data
analytics,
AI-driven
maintenance,
integration
incident
response
planning,
enhance
support
continuity
an
environment
where
businesses
face
a
myriad
risks,
including
disasters,
cyberattacks,
economic
fluctuations.
A
cross-sectional
design
quantitative
method
were
used
collect
for
this
from
sample
360
technology
specialists.
The
results
show
that
have
major
impact
on
assessment.
Notably,
it
was
discovered
NLP
improved
accuracy
speed
procedures.
into
plans
particularly
effective,
greatly
decreasing
company
interruptions
improving
recovery
unforeseen
events.
It
is
advised
invest
skills,
fields
automated
assessment,
analytics
prompt
detection,
maintenance
operational
effectiveness,
AI-enhanced
planning
crisis
management.
Big Data and Cognitive Computing,
Год журнала:
2024,
Номер
8(3), С. 26 - 26
Опубликована: Фев. 26, 2024
This
article
investigates
the
intricate
dynamics
of
data
monopolies,
referred
to
as
“data-opolies”,
and
their
implications
for
democratic
erosion.
Data-opolies,
typically
embodied
by
large
technology
corporations,
accumulate
extensive
datasets,
affording
them
significant
influence.
The
sustainability
such
practices
is
critically
examined
within
context
decentralized
Web3
technologies
amidst
Artificial
Intelligence
(AI)
disruption.
Additionally,
explores
emancipatory
datafication
strategies
counterbalance
dominance
data-opolies.
It
presents
an
in-depth
analysis
two
emergent
phenomena
emerging
landscape:
People-Centered
Smart
Cities
Datafied
Network
States.
a
paradigm
shift
in
governance
advocates
joint
efforts
establish
equitable
ecosystems,
with
emphasis
on
prioritizing
sovereignty
achieving
digital
self-governance.
elucidates
remarkable
roles
(i)
blockchain,
(ii)
autonomous
organizations
(DAOs),
(iii)
cooperatives
empowering
citizens
have
control
over
personal
data.
In
conclusion,
introduces
forward-looking
examination
technologies,
outlining
timely
path
toward
more
transparent,
inclusive,
data-driven
democracy.
approach
challenges
prevailing
data-opolies
offers
framework
regenerating
datafied
democracies
through
technologies.
Policy and Society,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 10, 2025
Abstract
Organizations
increasingly
use
Generative
Artificial
Intelligence
(AI)
to
create
strategic
documents,
legislation,
and
recommendations
support
decision-making.
Many
current
AI
initiatives
are
technology-deterministic,
whereas
technology
co-evolves
with
the
social
environment,
resulting
in
new
applications
situations.
This
paper
presents
a
novel
view
of
governance
by
organizations
from
perspective
complex
adaptive
systems
(CASs).
is
conceptualized
as
socio-technological
system
which
people,
policies,
systems,
data,
AI,
processes,
other
elements
co-evolve.
The
CAS
lens
draws
attention
focusing
on
entire
organization,
taking
an
outward
considering
public
values
societal
concerns.
Although
there
no
shortage
instruments,
they
differ
their
effectiveness,
combinations
appropriate
mechanisms
should
be
selected
deal
AI’s
evolving
nature
complexity.
A
major
challenge
that
responsibility,
therefore
accountability,
taken
due
lack
understanding
full
CAS.
As
such,
joint
accountability
needed
involved
parties
work
together.
Futures,
Год журнала:
2023,
Номер
154, С. 103258 - 103258
Опубликована: Окт. 5, 2023
E-diasporas
are
networks
driven
by
human
agency,
connecting
digital
citizens
to
their
home
countries
and
diasporic
fellows
through
tools.
In
contrast,
Hyperconnected
Diasporas
(HD)
data-driven
engaged
in
extractive
activities,
often
employed
for
government
(para)diplomacy,
heavily
relying
on
social
media
extractivist
data-opolies
or
Big
Tech
platforms.
This
article
examines
the
impact
of
disruptive
technologies
e-diasporas
context
data
extractivism,
particularly
stemming
from
HD.
The
pursues
a
dual
objective:
(i)
reviewing
existing
literature
comparing
five
technologies—Blockchain,
Decentralized
Autonomous
Organizations
(DAOs),
Data
Cooperatives,
Metaverse,
ChatGPT—in
sustaining
as
(ii)
scrutinizing
associated
opportunities
risks,
including
challenges
institutional
trust
privacy
arising
study
seeks
elucidate
how
these
may
either
hinder
exacerbate
impacts
HD
e-diasporas,
characterized
human-driven
nature.
begins
with
an
introduction
HD,
followed
review
e-diasporas.
Methodologically,
it
presents
comparative
analysis
concerning
research
question
discusses
implications
e-diasporic
communities,
concluding
final
remarks.
The Journal of Strategic Information Systems,
Год журнала:
2024,
Номер
33(3), С. 101849 - 101849
Опубликована: Авг. 1, 2024
In
this
paper,
we
report
on
a
qualitative
exploratory
case
study
of
national-level
government-led
digital
transformation.
We
depart
from
most
studies
government
transformation
that
largely
focus
improving
existing
services,
bureaucratic
processes,
or
adopting
emerging
technologies.
Instead,
analyze
the
process
aimed
at
addressing
significant
institutional
voids
within
resource-constrained
context.
Drawing
60
interviews
with
stakeholders
in
Ghanaian
FinTech
ecosystem,
theorize
concept
branching
strategy
as
an
alternative
lens
to
envisage
considers
context
and
characteristics
governments.
Our
findings
show
governments,
especially
those
contexts
pursue
through
exploring
frugal
innovations
leveraging
established
resources,
structures,
relationships
ecosystem.
subsequently
develop
model
explain
mechanisms
Based
model,
our
offers
critical
insights
re-imagine
by
demonstrating
how
pursuing
leads
planned
emergent
outcomes
because
generative
nature
F1000Research,
Год журнала:
2025,
Номер
14, С. 126 - 126
Опубликована: Янв. 24, 2025
Background
Artificial
Intelligence
(AI)
is
at
the
forefront
of
today’s
technological
revolution,
enhancing
efficiency
in
many
organisations
and
sectors.
However,
some
research
environments,
its
adoption
tempered
by
risks
AI
poses
to
data
protection,
ethics,
integrity.
For
funding
(RFOs),
although
there
interest
application
boost
productivity,
also
uncertainty
around
AI’s
utility
safe
integration
into
organisational
systems
processes.
The
scoping
review
explored:
‘What
does
evidence
say
about
current
emerging
use
AI?’;
‘What
are
potential
benefits
for
RFOs?’
considerations
Methods
A
was
undertaken
with
no
study,
language,
or
field
limits.
Due
rapidly
evolving
field,
searches
were
limited
last
three
years
(2022-2024).
Four
databases
searched
academic
grey
literature
February
2024
(including
13
professional
organisation
websites).
classification
framework
captured
potential,
RFOs.
Results
122
eligible
articles
revealed
that
solutions
could
potentially
benefit
RFOs
processes,
administration,
insights,
operational
management,
strategic
decision-making.
These
ranged
from
algorithms
management
platforms,
frameworks,
guidelines,
business
models.
several
need
be
addressed
before
can
successfully
integrate
(e.g.,
improving
quality,
regulating
ethical
use,
science
training).
Conclusion
While
a
breadth
AI-driven
improve
operations,
decision-making
assess
‘AI
readiness’.
Although
advances
solution
address
accountability,
governance
societal
impact,
landscape.
Government Information Quarterly,
Год журнала:
2024,
Номер
41(3), С. 101958 - 101958
Опубликована: Июль 16, 2024
The
public
sector
is
actively
pursuing
digital
transformation
to
ensure
continuous
operations
and
relevance.
While
existing
research
has
outlined
essential
prerequisites
for
successful
transformation,
there
recognition
of
willful
ignorance
concerning
these
prerequisites.
Public
servants
may
in
other
words
deliberately
avoid
understanding
the
necessary
conditions
often
driven
by
strategic
motives
such
as
evading
responsibility
and/or
accountability.
phenomenon
constitutes
an
important
yet
under-researched
area
within
study
government.
To
close
this
gap,
we
investigate
latent
factors
utilizing
three
sets
national
panel
data
focused
on
Employing
exploratory
factor
analysis
initial
sample,
construct
a
model,
subsequently
assessing
its
validity
through
confirmatory
two
additional
samples.
Our
identifies
validates
associated
with
sector.
Building
findings,
propose
mid-range
variance
theory
termed
"digital
decoupling".
By
integrating
knowledge,
present
set
propositions
guide
future
realm
transformation.
International Journal For Multidisciplinary Research,
Год журнала:
2024,
Номер
6(4)
Опубликована: Авг. 14, 2024
This
integrative
literature
review
examines
the
transformative
impact
of
advanced
technologies,
particularly
artificial
intelligence
(AI),
Internet
Things
(IoT),
and
blockchain,
on
public
administration.
It
addresses
urgent
need
for
enhanced
operational
efficiency
transparency
through
AI-driven
decision-making.
The
study
reviews
current
to
highlight
AI's
potential
revolutionize
service
delivery,
improve
smart
city
initiatives,
enable
data-driven
policy-making.
Significant
challenges
such
as
data
privacy,
algorithmic
transparency,
ethical
considerations
are
also
identified.
methodology
involves
a
comprehensive
scholarly
articles,
reports,
academic
publications,
focusing
AI
applications
in
administration
technologies.
analysis
reveals
notable
improvements
due
AI,
alongside
concerns
about
biases,
implementation
issues.
findings
confirm
but
emphasize
necessity
ongoing
supervision,
regular
audits,
development
models
capable
detecting
rectifying
anomalies.
proposes
creating
positions
Public
Administration
Ethics
Officers
(PAAIEOs),
Data
Transparency
Managers
(PADTMs),
Predictive
Analytics
(PAPAOs)
ensure
responsible
utilization,
maintaining
integrity
services
while
addressing
challenges.
concludes
that
is
promising
transforming
administration;
however,
careful
crucial
uphold
resilience.
Future
research
should
prioritize
longitudinal
studies
evaluate
long-term
impact,
focus
concerns,
fair
transparent
integration
These
have
significant
implications
practice
policy,
underscoring
robust
frameworks
regulatory
measures
guide
effective
use
Deleted Journal,
Год журнала:
2024,
Номер
16.2, С. 913 - 928
Опубликована: Апрель 8, 2024
The
aim
of
the
article
was
to
establish
effectiveness
artificial
intelligence
(AI)
for
improving
public
service
provision.
determine
choice
law
enforcement
practice
EU
member
states
and
Ukraine
comparative
analysis.
Statistical
methods
were
employed
as
basis
research.
conducted
research
showed
that
proposed
regulatory
framework
development
use
is
aimed
at
analysing
risks,
promoting
human-oriented
trustworthy
AI.
It
established
introducing
communication
cooperation
procedures
using
large
language
models
such
ChatGPT
can
optimise
positive
impact
implementation
AI
on
efficiency
services
proved
by
applying
a
justified
system
indicators.
analysis
results
gave
grounds
proposing
an
approach
implementing
in
services.
prospects
further
will
be
Law
Artificial
Intelligence
countries,
considering
provision
