An integrated bibliometric analysis and systematic review modelling students’ technostress in higher education
Behaviour and Information Technology,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 25
Published: March 25, 2024
Technology
integration
in
higher
education
has
been
widely
recognised
for
its
multifarious
benefits.
Nevertheless,
arising
from
various
factors,
the
prevalence
of
technostress
poses
a
substantial
impediment
to
learning
effectiveness.
In
response,
this
study
employs
visualisation
analysis
and
systematic
review
techniques
formulate
comprehensive
model
that
encompasses
variables
related
technostress.
Based
on
selection
1,861
publications,
83
publications
were
included
predictors
outcomes
higher-education
students'
Our
findings
reveal
COVID-19
pandemic
spurred
growing
academic
interest
technostress,
owing
concerns
about
stressful
anxious
nature
remote
learning.
Existing
research
topic
predominantly
relies
technology
acceptance
models
theories,
with
ongoing
expansions
incorporating
multiple
domains.
particular,
external
factors
assume
pivotal
roles
as
along
subdimensions
The
impact
can
be
observed
aspects,
such
experiences
performance
outcomes.
provide
valuable
insights
future
endeavours,
facilitating
further
exploration
informing
technology-enhanced
teaching
practice.
Language: Английский
Navigating AI unpredictability: Exploring technostress in AI-powered healthcare systems
Helmi Issa,
No information about this author
Jad Jaber,
No information about this author
Hussein Lakkis
No information about this author
et al.
Technological Forecasting and Social Change,
Journal Year:
2024,
Volume and Issue:
202, P. 123311 - 123311
Published: Feb. 27, 2024
Language: Английский
The dualistic view of challenge-hindrance technostress in accounting information systems: Technological antecedents and coping responses
Zhangyao Zhu,
No information about this author
Man Zhao,
No information about this author
Xuanjin Wu
No information about this author
et al.
International Journal of Information Management,
Journal Year:
2023,
Volume and Issue:
73, P. 102681 - 102681
Published: July 18, 2023
Language: Английский
Towards a bright side of technostress in higher education teachers: Identifying several antecedents and outcomes of techno-eustress
Technology in Society,
Journal Year:
2023,
Volume and Issue:
76, P. 102428 - 102428
Published: Nov. 25, 2023
Digital
education
initiatives
require
higher
teachers
(HETs)
to
include
more
technology
in
teaching
and
research.
HETs
therefore
may
experience
technostress,
a
"dark
side"
phenomenon
that
is
commonly
framed
as
detrimental
individuals,
organizations,
society.
However,
recent
research
reveals
there
"bright
of
technostress
called
techno-eustress,
which
beneficial
Little
known
about
how
specifically,
what
technological,
individual,
organizational
factors
influence
techno-eustress
impacts
work-related
outcomes.
This
study
aims
identify
the
antecedents
outcomes
experienced
by
HETs.
The
specifically
investigates
three
characteristics
(usefulness,
reliability,
complexity),
individual
traits
(IT
mindfulness,
coping
flexibility,
age),
two
mechanisms
(synergic
literacy
technical
support)
impact
feelings
job
satisfaction
work
performance.
A
mixed-methods
design
was
used
conduct
investigation.
Semi-structured
interviews
helped
build
an
empirical
model,
tested
through
survey
data
collected
from
1107
Portuguese
Results
indicate
that,
although
with
small
effect,
usefulness,
synergic
literacy,
IT
flexibility
are
positive
predictors
positively
related
Language: Английский
Understanding Students’ Offline-To-Online Switching Intention: The Tension between Perceived and Expected Convenience
The Asia-Pacific Education Researcher,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 29, 2025
Language: Английский
Techno-eustress under remote work: a longitudinal study in higher education teachers
Education and Information Technologies,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 1, 2025
Language: Английский
Navigating the decision‐making landscape of AI in risk finance: Techno‐accountability unveiled
Helmi Issa,
No information about this author
Roy Dakroub,
No information about this author
Hussein Lakkis
No information about this author
et al.
Risk Analysis,
Journal Year:
2024,
Volume and Issue:
unknown
Published: May 24, 2024
Abstract
The
integration
of
artificial
intelligence
(AI)
systems
has
ushered
in
a
profound
transformation.
This
conversion
is
marked
by
revolutionary
extrapolative
capabilities,
shift
toward
data‐centric
decision‐making
processes,
and
the
enhancement
tools
for
managing
risks.
However,
adoption
these
AI
innovations
sparked
controversy
due
to
their
unpredictable
opaque
disposition.
study
employs
transactional
stress
model
empirically
investigate
how
six
technological
stressors
(techno‐stressors)
impact
both
techno‐eustress
(positive
stress)
techno‐distress
(negative
experienced
finance
professionals
experts.
To
collect
data
this
research,
an
e‐survey
was
distributed
diverse
group
251
participants
from
various
sources.
findings,
particularly
identification
development
techno‐accountability
as
significant
factor,
contribute
risk
analysis
domain
improving
failure
mode
effect
framework
better
fit
rapidly
evolving
landscape
AI‐driven
innovations.
Language: Английский
Machines think, but do we? Embracing AI in flat organizations: Challenges of technological change in women-owned manufacturing firms
Tahira Iram,
No information about this author
Haider Ali Malik,
No information about this author
Sadia Batool
No information about this author
et al.
Information Development,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 29, 2024
Drawing
on
the
combined
strengths
of
Conservation
Resources
(COR)
theory
and
Information
Processing
Theory
(IPT),
we
explored
relationship
between
technological
turbulence
knowledge
hiding,
with
employees’
awareness
AI
as
a
key
mediating
factor.
We
also
examined
dual
moderating
effects
hierarchical
flatness
in
an
organization
change
leadership
to
test
theoretical
synergy
COR
IPT.
Data
were
collected
from
315
women-owned
manufacturing
firms
analyzed
through
PLS-SEM.
The
findings
reveal
that
mediates
link
knowledge-hiding
behaviors.
A
flatter
organizational
structure
aids
spreading
among
employees,
while
effective
serves
crucial
moderator,
reducing
hiding
by
influencing
employee
behavior.
survey
highlights
increased
can
lead
fears
about
AI's
impact
job
security,
driving
hiding.
However,
skilled
mitigate
this
promoting
innovation
encouraging
collaboration
external
partners.
This
study
provides
original
insights
developing
empirically
validating
model
response
sectors
Punjab,
Pakistan.
It
deepens
understanding
management
examining
interplay
integration,
areas
often
overlooked
existing
literature.
Language: Английский