Revista Científica Multidisciplinaria Arbitrada YACHASUN. Volumen 10, Número 18 (Ed. ene – jun. 2026) ISSN: 2697-3456
Assessing Human Talent Management in Healthcare: The Case of Medical Cubacenter S.A.
methodologically convenient, is
theoretically reductionist and
empirically insufficient, as it obscures
the internal variability of
organizational processes and limits
the identification of specific
deficiencies across key components
Lepak et al., 2006; Paauwe &
Boselie, 2005). Furthermore, even
recent developments in HR
HTM
systems
are
inherently
heterogeneous, with uneven levels of
development
components
organizational
across
their
on
depending
and
contextual
conditions (Minbaeva, 2021; Tyskbo
& Firtin, 2025). Therefore, assuming
measurement homogeneity not only
reduces analytical accuracy but also
leads to incomplete or misleading
interpretations.
(
analytics—intended to enhance
decision-making—have not fully
overcome this limitation. Although
analytics has been presented as a
transformative tool, organizations
still rely predominantly on descriptive
metrics that fail to capture the
multidimensional nature of HTM
systems (Marler & Boudreau, 2017;
Boudreau & Cascio, 2017).
In response to this limitation, the
present study adopts a component-
based analytical perspective that
explicitly recognizes the structural
heterogeneity of HTM systems.
Rather than treating the system as a
unified construct, this approach
evaluates its key dimensions
independently through differentiated
analytical instruments, allowing for a
more precise and context-sensitive
diagnosis. This perspective is
particularly relevant for complex
organizational environments, where
subsystems operate under distinct
dynamics and require tailored
evaluation strategies.
This contradiction reveals a critical
gap in the field: while HTM is
conceptually recognized as
a
complex and multidimensional
system, it continues to be analyzed
through simplified and aggregated
frameworks. Such misalignment
between theory and methodology
restricts the ability to generate
precise diagnoses and limits the
design of targeted and effective
improvement strategies. Moreover,
emerging evidence suggests that
The study is conducted at Medical
Cubacenter
S.A.,
a
private
healthcare institution in Ecuador,
serving as a case study to examine
the applicability of this analytical
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