Gap Analysis in Strategic Upskilling: The Impact of Artificial Intelligence on Hris Practices and Workforce Development
Опубликована: Янв. 1, 2025
Язык: Английский
A Quantitative Assessment of The Role of Digital Transformation on Operational Efficiency in Service-Based Organizations
Avishek Nath,
Sayed Abdullah Al Sanazid Onib,
Nusrat Jahan Barsa
и другие.
SSRN Electronic Journal,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 1, 2025
Язык: Английский
Intelligent Support for Personnel Decision-Making and Socially Responsible HRM Using Big Data and AI
Studies in big data,
Год журнала:
2025,
Номер
unknown, С. 3 - 11
Опубликована: Янв. 1, 2025
Язык: Английский
Balancing skills and expectations: AHP analysis of competency-based recruitment in the EdTech sector
Future Business Journal,
Год журнала:
2025,
Номер
11(1)
Опубликована: Апрель 4, 2025
Abstract
This
research
investigates
the
impact
of
competency-based
hiring
on
organizational
success,
with
a
focus
utilizing
analytic
hierarchy
process
(AHP)
for
candidate
selection.
The
study
explores
most
sought-after
competencies
by
recruiters
and
their
importance
in
process.
Employing
case
methodology,
paper
evaluates
four
applicants
an
inside
sales
specialist
(ISS)
role
at
educational
technology
(EdTech)
firm.
Data
were
primarily
gathered
through
company
recruitment
initiatives
supplemented
information
from
secondary
sources.
AHP
evaluation
considered
primary
factors:
‘salary
expectations’
(SE),
‘knowledge’
(K),
‘experience’
(E)
‘education’
(Ed).
Findings
revealed
that
while
‘K’
‘E’
are
vital,
organizations
often
favor
candidates
lower
‘SE’
skills
over
those
extensive
experience
demanding
higher
salaries.
demonstrates
AHP’s
efficacy
facilitating
complex
decisions
systematically
evaluating
multiple
competencies.
It
concludes
is
crucial
across
various
industries.
contributes
to
understanding
contemporary
practices
provides
valuable
insights
HR
professionals
implementing
strategies.
Язык: Английский
Leveraging AI-driven insights to enhance sustainable human resource management performance: moderated mediation model: evidence from UAE higher education
Discover Sustainability,
Год журнала:
2025,
Номер
6(1)
Опубликована: Апрель 9, 2025
Язык: Английский
Challenges of Adopting Artificial Technology in Human Resource Management Practices
IGI Global eBooks,
Год журнала:
2025,
Номер
unknown, С. 81 - 102
Опубликована: Фев. 21, 2025
In
this
study,
the
challenges
faced
by
organisations
in
integrating
artificial
intelligence
(AI)
into
human
resource
management
(HRM)
practises
are
examined.
For
that,
AI
can
bring
significant
benefits,
including
increasing
efficiency
and
decision-making
HR
processes,
namely
recruitment,
performance
evaluation
talent
development.
Its
adoption,
however,
presents
many
technological
infrastructure,
data
privacy,
ethical,
organizational
culture.
This
chapter
investigates
these
barriers,
particularly
importance
of
proper
changes
trade-off
between
element
AI's
capabilities.
The
article
discusses
strategies
for
overcoming
challenges,
practising
ethical
AI,
security
employee
study
offers
actionable
insights
attempting
to
leverage
HRM
a
way
that
succeed
at
both
operational
dimensions.
Язык: Английский
Transformative AI in human resource management: enhancing workforce planning with topic modeling
Cogent Business & Management,
Год журнала:
2024,
Номер
11(1)
Опубликована: Ноя. 26, 2024
This
study
explores
the
transformative
role
of
artificial
intelligence
(AI)
in
human
resource
management
(HRM),
focusing
on
key
functions
such
as
recruitment,
retention,
and
performance
management.
A
comprehensive
review
was
carried
out
PRISMA
framework
BERTopic
model
AI
HRM‑related
keywords.
The
resulting
publications
were
analyzed
to
extract
meaningful
topics.
AI‑driven
tools
streamline
candidate
screening
interview
analysis,
significantly
enhancing
hiring
efficiency
decision‑making
accuracy.
Concerns
about
algorithmic
bias
highlight
need
for
robust
governance
frameworks
ensure
transparency
fairness
processes.
emphasizes
importance
aligning
adoption
with
Organizational
Development
principles
foster
inclusivity
organizational
justice.
integration
facilitates
real‑time,
objective
assessments,
although
overreliance
technologies
can
affect
employee
trust
engagement.
Despite
these
advances,
highlights
ethical
concerns
surrounding
data
privacy
potential
bias.
Addressing
challenges
requires
implementation
promote
AI‑HRM
applications.
Strategically,
transforms
HR
from
a
reactive
function
proactive,
data‑driven
partner
aligned
long‑term
goals.
Successful
depends
mechanisms
that
uphold
standards,
trust,
transparency,
enabling
organizations
fully
leverage
AI's
workforce
Язык: Английский
Navigating the Opportunities and Challenges of AI and Automation in Human Resource Development
Vidhya Shanmugam,
M. S. Sibi,
B. Thuraisingham
и другие.
Advances in computational intelligence and robotics book series,
Год журнала:
2024,
Номер
unknown, С. 103 - 128
Опубликована: Сен. 20, 2024
The
integration
of
artificial
intelligence
and
automation
in
human
resource
management
marks
a
transformative
shift,
promising
efficiency
gains
while
posing
complex
challenges.
This
chapter
offers
critical
examination
the
scholarly
discourse
surrounding
HRM,
emphasizing
need
for
nuanced
understanding
their
implications.
While
some
scholars
emphasize
potential
these
technologies,
others
advocate
cautious
approach,
calling
empirical
research
to
address
specific
HRM
outcomes.
disparity
reflects
complexity
inherent
adoption
necessitating
balanced
that
acknowledges
both
opportunities
Against
this
backdrop,
contributes
ongoing
dialogue
by
conducting
systematic
review
current
literature
on
HRM.
It
analyzes
various
theoretical
studies
provide
insights
into
multifaceted
implications
technologies.
By
exploring
functional
applications
strategic
implications,
underscores
importance
considering
broader
societal
development
issues.
Ultimately,
it
advocates
informed
decision-making
balances
technological
with
ethical
considerations,
recognizing
profound
impact
beyond.
Язык: Английский