International Journal of Consumer Studies,
Journal Year:
2025,
Volume and Issue:
49(1)
Published: Jan. 1, 2025
ABSTRACT
This
study
explores
the
evolving
circumstances
of
generative
artificial
intelligence
(AI)
and
its
implications
for
humanity.
A
central
question
guides
this
exploration:
“
What
is
humanity
in
a
world
with
human‐like
machines
?”
as
proposed
by
Suleyman
(2023).
Multiple
streams
literature
have
been
integrated
to
employ
holistic
approach.
includes
an
extensive
review
analysis
recent
developments,
incorporating
insights
from
various
sources
experts
key
domains
such
AI,
AI
singularity,
ethics,
digital
transformation,
human‐machine
collaboration,
societal
implications.
While
rapid
advancements
captured
widespread
attention,
particular
emphasis
on
positive
potential,
it
equally
vital
address
potential
negative
impacts,
including
human
displacement,
lower
wages,
increased
power
income
inequality
(Farina,
Yu,
Lavazza
2024).
Despite
varying
scholarly
perspectives
concept
there
consensus
that
significantly
impacts
humans
society
requires
careful
consideration.
The
National
Institute
Standards
Technology
(NIST)
European
Parliament
highlight
global
significance
addressing
challenges.
From
practical
perspective,
these
enormous
governments,
business
leaders,
scholars,
society.
Journal of Global Information Management,
Journal Year:
2025,
Volume and Issue:
33(1), P. 1 - 27
Published: April 3, 2025
This
review
examines
the
emerging
field
of
service
robot
adoption
in
hospitality.
It
provides
a
comprehensive
overview
their
evolution,
classification,
and
conceptualization.
The
offers
theoretically
grounded
analysis
customer
intentions,
identifying
evaluating
salient
models
frameworks.
Through
research
synthesis,
it
pinpoints
key
gaps
hindering
holistic
understanding
acceptance,
particularly
hotels.
highlights
limitations
traditional
acceptance
like
TAM,
advocating
exploration
alternatives
for
unified
understanding.
underscores
need
robust
methodologies
to
capture
real-world
interactions,
as
well
meta-analyses
establish
consensus.
also
identifies
critical
related
anthropomorphism,
segmentation,
resistance,
emphasizing
importance
contextual
factors.
By
addressing
these
theoretical
methodological
limitations,
valuable
insights
guide
future
on
enhancing
integration
Journal of Public Affairs,
Journal Year:
2025,
Volume and Issue:
25(2)
Published: April 2, 2025
ABSTRACT
The
difference
between
the
levels
of
e‐commerce
adoption
before
and
after
COVID‐19
pandemic
is
debatable
poorly
explored
in
literature.
This
study
examines
digital
environment's
impact
on
performance
Brunei
Darussalam
post‐COVID‐19.
research
required
to
understand
changing
dynamics
Darussalam,
particularly
post‐COVID‐19
era
where
environment
has
emerged
as
a
critical
driver
business
operations.
A
structured
survey
was
conducted
with
248
respondents,
including
consumers
businesses
from
various
demographic
groups,
students,
lecturers,
civil
servants,
entrepreneurs.
Data
collection
facilitated
by
using
standardized
questionnaires
ensure
consistency
reliability
responses.
Estimates
four
regression
models
suggest
that
moderately
affects
ways:
expansion
cross‐border
e‐commerce,
improvement
security
value
online
financial
transaction,
prioritization
protection
intellectual
property,
strengthening
specialties
B2C,
priority
B2B
G2C
sectors.
However,
environmental
challenges
such
limited
platform
access,
capital
constraints,
regulatory
issues
remain.
confirms
importance
environment,
supports
institutional
transaction
cost
economics
theories,
highlights
need
remove
transactional
barriers
sustainable
economic
growth
Brunei.
Journal of Hospitality and Tourism Insights,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 16, 2025
Purpose
This
study
explores
the
acceptance
of
ChatGPT
as
an
auxiliary
tool
for
enhancing
travel
experiences
by
extending
technology
model
(TAM).
It
incorporates
perceived
convenience,
information
quality,
personal
innovativeness
and
compatibility
to
understand
factors
driving
adoption
in
tourism.
The
research
addresses
a
gap
AI
literature
provides
insights
into
users’
perceptions
AI-driven
technologies
streamlining
planning
offering
personalized,
real-time
assistance.
Design/methodology/approach
follows
quantitative
approach,
collecting
data
through
online
survey
on
Prolific
platform.
A
total
441
responses
were
analyzed
using
structural
equation
modeling
(SEM)
assess
relationships
between
variables
moderating
role
compatibility.
Findings
findings
confirm
that
attitude
significantly
influences
behavioral
intention,
with
enjoyment
convenience
shaping
user
attitudes
toward
ChatGPT.
Perceived
ease
use
impacts
both
usefulness
but
does
not
affect
enjoyment.
Information
quality
is
key
usefulness,
while
has
mixed
effects.
Compatibility
did
moderate
constructs,
suggesting
tool’s
features
may
outweigh
concerns
adoption.
Originality/value
extends
TAM
hedonic
contextual
challenges
assumptions
about
innovativeness,
novelty
like
diminishes
it
becomes
mainstream.
offer
fresh
perspectives
how
meets
needs.
Technological Sustainability,
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 3, 2024
Purpose
The
objective
of
this
research
is
to
examine
the
accelerated
adoption
mechanisms
emerging
technologies
in
information
systems.
Its
goal
comprehend
drivers
behind
prompt
assimilation
technology
trends
such
as
TikTok,
ChatGPT,
mobile
payment
schemes,
cryptocurrency
and
VR.
Design/methodology/approach
study
follows
systematic
literature
review
methodology
(using
PRISMA
protocol
guide
selection
scholarly
materials
from
Google
Scholar,
Scopus
Springer).
Specifically,
draws
on
identified
trajectories
(ChatGPT,
cryptocurrency,
systems,
virtual
reality)
systematically
assess
pertinent
insights,
theoretical
lenses
Disruptive
Innovation
Theory
reach
interpretations.
Findings
indicates
that
shaped
by
several
variables
user-centered
design,
network
effects,
content
powered
through
algorithms,
viral
trends,
ease-of-use
accessibility
features,
engagement
levels
retention
rates.
Research
limitations/implications
specific
platforms
may
limit
generalizability
findings.
Social
implications
emergence
new
causing
a
shift
societal
behaviors
norms,
which
has
significant
social
implications.
While
TikTok
offer
opportunities
for
community-building,
there
are
concerns
regarding
digital
divide
privacy
issues
need
be
addressed.
So
understanding
impact
these
changes
becomes
vital
achieving
fairness
access
making
technology's
potential
transformation
practicalized
effectively.
Originality/value
This
enhances
current
body
presenting
thorough
examination
non-linear
patterns
involved
adopting
advanced
technologies.
By
combining
knowledge
numerous
fields,
delivers
an
integrated
comprehension
what
factors
swift
adoption.
Assessment & Evaluation in Higher Education,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 15
Published: Oct. 22, 2024
This
study
examines
the
factors
driving
student
non-compliance
with
AI
use
declarations
in
academic
assessments
at
King's
Business
School,
where
74%
of
students
failed
to
declare
usage
despite
declaration
being
a
requirement
mandatory
coursework
coversheet.
Utilising
Theory
Planned
Behaviour
(TPB)
as
framework,
research
combines
service
evaluation
survey
data
and
semi-structured
interviews
explore
how
attitudes,
subjective
norms,
perceived
behavioural
control
influence
compliance.
Findings
reveal
that
fear
repercussions,
ambiguous
guidelines,
inconsistent
enforcement,
peer
are
key
barriers
declaration.
These
complicate
process,
undermine
transparency,
challenge
integrity.
The
extends
TPB
model
by
highlighting
ethical
practical
dilemmas
posed
generative
AI,
which
blur
traditional
norms
offers
critical
insights
for
policymakers,
suggesting
clear,
consistent,
trust-based
policies
crucial
fostering
use.
findings
underscore
importance
transparent
communication
supportive
institutional
cultures
improve
Ultimately,
this
informs
policy
development
evaluating
effectiveness
mechanisms
providing
actionable
recommendations
promote
culture
integrity
evolving
landscape
technologies.
Human Resource Management,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 27, 2024
ABSTRACT
This
article
presents
a
contemporary
review
of
human
resource
management
(HRM)
research
on
algorithmic
technologies,
including
artificial
intelligence,
machine
learning,
and
natural
language
processing.
By
connecting
these
recent
advancements
to
the
long‐standing
scholarly
tradition
HRM‐technology
relations,
this
examines
current
knowledge
how
technologies
are
reshaping
three
key
areas:
(1)
work
structures
design,
(2)
HR
delivery
activities,
(3)
technology
workers.
Using
threefold
conceptualization
technology—the
tool
view,
proxy
ensemble
view—this
explores
organizations
employ
systems
enhance
productivity,
agency
interacts
with
resists
broader
social,
cultural,
institutional
contexts
shape
use
algorithms
in
HRM.
Additionally,
offers
suggestions
for
future
research,
highlighting
unique
opportunities
provide
scholars
making
enduring
contributions
conversations
HRM
technology.
