University of Ciego de Ávila Máximo Gómez Báez
|
ISSN: 2309-8333
|
RNPS: 2411
|14|2026|
This is an Open Access article under the license CC BY-NC-SA 4.0 (https://creativecommons.org/licenses/by-nc-sa/4.0/)
Estrategia y Gestión Universitaria EGU
Scientific and technological
research article
How to cite:
Ricardo Jiménez, L. S. (2026
Teaching experiences and organizational
factors linked to research productivity at a
university in Montería, Colombia.
Estrategia y Gestión Universitaria
, 14,
e9205.
https://doi.org/10.5281/zenodo.22306395
Received: 17/08/2026
Accepted: 02/09/2026
Published: 22/09/2026
Corresponding author:
stephanyrj09@gmail.com
Conflict of interest:
the authors declare
that they have no conflict of interest,
which may have influenced the results
obtained or the proposed interpretations
.
Teaching experiences and
organizational factors linked to
research productivity at a university in
Montería, Colombia
Experiencias docentes y factores
organizacionales vinculados con la
productividad investigativa en una
universidad de Montería, Colombia
Experiências docentes e fatores
organizacionais vinculados à
produtividade em pesquisa em uma
universidade de Montería, Colômbia
Abstract
Introduction: university faculty scientific production is
currently a priority topic because institutional trends affecting
this indicator have been observed, which highlights the need
to carry out a study that positively contributes to developing
and making this issue visible. Objective: to explore faculty
experiences and the organizational environment in terms of
research productivity at a university in Montería, Colombia.
Method: a descriptive and comprehensive qualitative study
was conducted using semistructured interviews; the
secondary target population consisted of university faculty.
Results: research productivity is not exclusively an individual
outcome nor can it be explained solely by a teacher’s
motivation, training, or professional trajectory. Conclusion:
it is pertinent to continue deepening the study of aspects
directly related to this topic, since it is a priority axis for
written research; given that science is largely built from such
production, promoting organized actions by institutions should
be a fundamental task to ensure a higher degree of scientific
rigor.
Keywords: organizational environment, research
productivity, academic performance, university
Resumen
Introducción: las actividades de producción científica de los
docentes universitarios constituyen actualmente un tema
prioritario, debido a que se han observado tendencias
institucionales que afectan este índice, de ahí la necesidad de
ejecutar un estudio que contribuya de forma positiva a
desarrollar y visualizar esta temática.
Luly Stephanie Ricardo Jiménez
1
Universidad de Panamá
https://orcid.org/0000-0002-6051-0294
stephanyrj09@gmail.com
Colombia
Estrategia y Gestión Universitaria
|
ISSN
: 2309-8333
|
RNPS:
2411
| Vol. 14|2026|
| Luly Stephanie Ricardo Jiménez |
Objetivo:
explorar las experiencias del profesorado y el entorno organizacional
en términos de productividad investigativa en una universidad de Montería en
Colombia.
Método:
se desarrolló un estudio con enfoque cualitativo descriptivo
y comprensivo, todo ello a través de entrevistas semiestructuradas, cuya
población objetivo-secundaria fueron los docentes universitarios.
Resultados:
la
productividad investigativa no constituye un resultado exclusivamente individual
ni puede explicarse únicamente por la motivación, la formación o la trayectoria
profesional del docente.
Conclusión:
se considera pertinente continuar
profundizando en aspectos relacionados de manera directa con el presente tema,
ya que constituye un eje prioritario en lo que a investigación escrita se refiere,
todo esto teniendo en cuenta que la ciencia se construye, en gran medida, a
partir de dicha producción, por lo que fomentar acciones organizadas desde las
institucionales debe ser una tarea elemental a seguir para garantizar un mayor
grado de cientificidad.
Palabras clave:
entorno organizacional, productividad investigativa, desempeño
académico universidad
Resumo
Introdução: as atividades de produção científica dos docentes universitários
constituem atualmente um tema prioritário, pois foram observadas tendências
institucionais que afetam esse indicador, o que evidencia a necessidade de realizar
um estudo que contribua positivamente para desenvolver e visibilizar essa
temática. Objetivo: explorar as experiências do corpo docente e o ambiente
organizacional em termos de produtividade investigativa em uma universidade de
Montería, Colômbia. Método: desenvolveuse um estudo qualitativo, descritivo e
abrangente, por meio de entrevistas semiestruturadas; a população secundária
alvo foi composta por docentes universitários. Resultados: a produtividade
investigativa não constitui um resultado exclusivamente individual nem pode ser
explicada apenas pela motivação, formação ou trajetória profissional do docente.
Conclusão: considerase pertinente aprofundar aspectos diretamente
relacionados ao tema, uma vez que constitui um eixo prioritário no que se refere
à pesquisa escrita; dado que a ciência se constrói, em grande medida, a partir
dessa produção, fomentar ações organizadas pelas instituições deve ser uma
tarefa fundamental para garantir maior grau de rigor científico.
Palavras-chave:
ambiente organizacional, produtividade investigativa,
desempenho académico, universidade
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Introduction
Scientific output has become a matter of global concern within the research
community, given its substantial bearing on the academic and scientific development
of nations (Astegiano et al., 2019; Bender et al., 2021; Carta et al., 2021; Alqahtani
et al., 2022; Zhang et al., 2023; Brignardello-Petersen et al., 2024). It is now widely
recognized, internationally, that faculty research performance does more than drive
technological and scientific progress: it also strengthens each country's educational
and cultural fabric. Research, in this view, functions as a complement to the
formative work carried out at universities, and its productivity emerges from the
interplay between the research activities that faculty and university researchers
undertake and the outcomes those activities yield (Duque & Quintero, 2016; Gómez
et al., 2017; Cui et al., 2022; Feng et al., 2024; Christou et al., 2025).
Building on the work of Cujía et al. (2017), Li and Zhang (2022), Manasia et
al. (2022), Kwiek and Roszka (2024), Kwon et al. (2023), Lee et al. (2023), and Haby
et al. (2024), the sweeping changes that have accompanied the knowledge era have
made it essential to develop new tools capable of improving the way these activities
are carried out (Momeni et al., 2022; Nguyen et al., 2022; Nygaard et al., 2022a,
2022b; Meza-Mejía et al., 2023; Varsha et al., 2024; Song et al., 2025; Stupnisky &
Salahuddin, 2025), thereby raising competitiveness, quality, and excellence. This is
indispensable for universities, since knowledge is what allows the teaching,
research, and community-outreach functions to serve national development,
fostering the transfer of knowledge and technology to the business sector and forging
a collective bond between academia and industry (Obando et al., 2020; Rachid et
al., 2021; Puertas et al., 2023; Sá et al., 2023; Sayyed, 2024; Padilla Yaá et al.,
2025; Ramezani et al., 2026).
The situation in Latin America, however, brings its own set of challenges.
Structural barriers are the starting point, such as insufficient funding, limited
infrastructure, and education policies that do not always treat research as a core
component of teaching practice, and together they underscore the need for
strategies tailored to local realities, capable of overcoming these obstacles and
cultivating a more favorable environment for research (Guzmán & Valenzuela, 2017).
Compounding this, teacher training in Colombia has historically been shaped
by a gradual process of social and political recognition. From the colonial period
through independence, the preparation of educators has consistently been marked
by the country's shifting circumstances, and the recognition afforded to their
expertise has moved through several historical stages, from the dissolution of their
role and its subsequent institutionalization, through acknowledgment by the
ecclesiastical establishment, to eventual recognition by the state in matters of
quality of life and working conditions, including remuneration commensurate with
their duties (Calvo et al., 2004).
It is precisely in these working conditions that a certain regression can
sometimes be observed, in Colombia and across Latin America more broadly.
Professors frequently report a lack of institutional support and organizational
constraints that hinder their capacity to conduct quality research, alongside the
other duties they are expected to fulfill (Calvo et al., 2004).
| Luly Stephanie Ricardo Jiménez |
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Montería provides the territorial setting for this research. The study is not
intended as a case study of the city or of the university selected; rather, it sets out
to explore faculty experiences and the organizational conditions surrounding
research productivity at a university in Montería, Colombia.
Methods and materials
This study was conducted within the interpretive paradigm, seeking to
understand the meanings that faculty members attach to their experiences with
research productivity and to the organizational conditions of the university context.
The paradigm proved appropriate because it recognizes that social and educational
phenomena cannot be grasped through the measurement of variables alone, but
rather through the interpretations that people construct as they live through them
in specific contexts (de Franco & Vera Solórzano, 2020).
From this vantage point, knowledge is built by engaging closely with
participants' experiences, narratives, and expressed meanings. Castillo Rocubert
(2010) notes that the interpretive paradigm aims to understand human action and
social life from the subjective standpoint of the actors themselves, taking into
account their beliefs, motivations, intentions, and particular circumstances.
The method adopted was descriptive phenomenology, drawing on the
Husserlian tradition. It allowed the researchers to approach faculty experiences as
they were lived and articulated, with the aim of understanding the meanings
attached to research productivity and to the organizational conditions under which
participants carried out their work. Phenomenology is concerned with describing
lived experiences, perceptions, and meanings from the standpoint of those who
undergo the phenomenon in question (Leal, 2000).
A qualitative approach was adopted, as it provided access to the
experiences, perceptions, and meanings that faculty construct around their research
productivity and the organizational conditions of the university setting. This
approach is concerned with understanding social phenomena through the voices of
the people involved, taking into account the context, relationships, and
circumstances that shape their experiences (de Franco & Vera Solórzano, 2020).
This approach was likewise appropriate given that the data consisted
primarily of narratives elicited through the interview guide. These narratives shed
light on participants' research trajectories, academic practices, institutional
support, difficulties, motivations, and the meanings they attach to their work within
the university. A qualitative lens, moreover, makes it possible to capture the
complexity and singularity of educational phenomena without reducing them to
numerical expressions alone (Supo, 2002).
Participants were selected through criterion-based purposive sampling,
consistent with qualitative research practice. This procedure made it possible to
include faculty who met characteristics relevant to the study's purpose, without
seeking statistical representativeness of the institution's entire faculty body. The
study was carried out at a private higher-education institution located in the city of
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Montería, department of Córdoba, Colombia. At the time data collection took place,
the campus had 74 faculty members on staff, six of whom held full-time
appointments with assigned responsibilities or hours dedicated to research activities.
These six faculty members took part voluntarily and authorized the
collection and processing of their information by signing an informed-consent form.
To protect their identities, alphanumeric codes were used throughout the
transcriptions, analysis, and presentation of results, so as to avoid linking data such
as department, education, sex, position, or career trajectory back to any single
individual.
Figure 1
Eligibility criteria
Source: Author’s own elaboration.
Results and discussion
What follows is an analysis of the six faculty members' experiences with
research productivity and organizational conditions. The corpus comprised six semi-
structured interviews, each built around 25 open-ended questions, yielding 150
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response units in total; a synthesis of those most relevant to the object of study is
presented below. To preserve confidentiality, participants are identified by the
codes P01 through P06.
It bears noting that the analysis was not aimed at measuring variables or
establishing causal relationships; its purpose, rather, was to describe how
participants approached research within their broader experience as faculty.
Recurring elements were therefore used to identify convergences rather than as
statistical frequencies, and divergent responses were retained as meaningful
variations in experience. The quoted excerpts preserve the sense of the original
wording and were normalized only where obvious typographical errors would
otherwise hinder readability.
Data were analyzed through a qualitative coding procedure compatible with
the ATLAS.ti working logic: primary documents, quotations, codes, code groups,
analytic memos, and relationships among categories. The procedure followed the
tenets of descriptive phenomenology throughout. In a first phase, each interview
was read in its entirety to grasp the overall sense of the account, while a
phenomenological reduction was maintained at every stage, bracketing any
premature explanations of productivity, performance, or organizational causality.
In a second phase, responses were broken down into units of meaning tied to
the lived experience of conducting research, teaching, publishing, participating, and
navigating the institutional environment. A third phase assigned initial codes closely
tied to participants' own expressions, for instance, insufficient time, unbalanced
workload, self-management, academic networks, undergraduate research groups,
uneven support, personal resources, recognition, autonomy, participation, and
communication. A fourth phase compared these codes and subsequently grouped
them conceptually. The analysis concluded with individual descriptions of the six
participants and an overall structure of the experience, preserving both the
meanings they shared and the cases that diverged from the pattern.
Table 1
Participant coding
Code
Identification
P01
Participating faculty member
P02
Participating faculty member
P03
Participating faculty member
P04
Participating faculty member
P05
Participating faculty member
P06
Participating faculty member
Source: Author’s own elaboration.
Table 2
Codebook and emerging categories
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Grouped codes
Phenomenological meaning
C1. Research driven
by individual
agency and
networks
Insufficient time; unbalanced
workload; self-management;
personal rigor; funding;
conferences; networks and
dissemination.
The continuity of research
depends largely on faculty
initiative and on relational
support.
C2. Teaching-
research
integration
Undergraduate research
groups; formative research;
PBL; curriculum; classroom
problems; updating; teaching-
research tension.
Teaching can nourish research,
yet teaching load can also
hinder it.
C3. Uneven
organizational
conditions
Collaborative climate;
infrastructure; software;
training; recognition;
autonomy; participation;
communication.
The relational environment is
favorable, yet operational and
managerial support remains
uneven.
C4. Professional
development and
institutional
transformation
Continuous learning;
pedagogical innovation;
responsible use of technology
and AI; protected time;
resources; incentives;
governance.
A research culture requires
institutionalizing forms of
support that currently rest on
individual effort.
Source: Author’s own elaboration.
Comparison was carried out on three levels. The first involved within-case
comparison, examining the internal coherence of each account. The second was a
cross-case comparison, aimed at identifying convergent and divergent experiences.
The third linked the emerging categories to the study's research aims and theoretical
framework. Because only one data-collection technique was used, no claim is made
of instrument triangulation; rather, the analysis contrasted participants, categories,
research purposes, and the relevant literature.
All six participants reported experience with projects, publications, or
dissemination activities, yet productivity was not described as a uniform institutional
sequence. For some faculty, publishing stemmed from professional commitment or
the need to sustain a research trajectory; for others, it was shaped by time, funding,
access to laboratories, the cost of dissemination, and the possibility of forming
partnerships.
“Funding for publications has made it difficult” (P01).
“The lack of laboratories has made it difficult to run the
trials, and I've had to rely on contacts at other universities” (P02).
“There's no money to do research, let alone money to
publish” (P05).
These accounts reveal that publishing is experienced as a process that
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extends well beyond writing the manuscript itself. It involves managing teams,
searching for journals, securing funding, and drawing on external networks. P02
reported having to use other universities' laboratories and purchase certain resources
out of pocket; P04 noted that faculty had to seek out journals and support on their
own in order to publish; and P05 relied on free software or trial versions. Self-
management thus emerges as a compensatory strategy for material and financial
gaps.
Academic events, for their part, were a component shared across the
participants' experiences. Five of the six reported attending once or twice a year,
while one reported a bimonthly frequency. The meaning attached to these spaces
went beyond mere attendance: participants also associated them with staying
current, gaining visibility for their results, and, above all, expanding the networks
capable of sustaining future collaborations.
“You get to know what others are working on, and you can
invite them to collaborate” (P02).
“The impact lies in staying up to date and in building
academic networks” (P03).
Dissemination, in this respect, revealed two distinct experiences. P01 and
P03 considered it accessible, particularly when outputs were open access, whereas
P02, P04, and P05 described a form of dissemination built on free networks, personal
contacts, and self-directed searches for opportunities. P06 linked it instead to the
relevance of academic programs. Accessibility, then, does not hinge solely on
whether knowledge is available, but on having the resources, channels, and support
needed to put it into circulation.
Time was the most pervasive constraint. Five participants stated that the
workload distributed across teaching, research, and outreach was not balanced. In
the most striking accounts, conducting research meant drawing on personal or family
time, bringing work home, and halting projects altogether during the academic
semester.
“When the semester is in full swing, research always comes
to a halt; it's very hard to manage classes, assessments, and lab
sessions all at once” (P02).
“It isn't balanced, because you have to take time out of your
own schedule to get things done” (P05).
“The time available is tied to the workload assigned for
research” (P06).
P03 offered a notable exception, describing her workload as balanced and
her autonomy as sufficient. This divergent account does not invalidate the others;
rather, it shows that conditions can be experienced favorably when responsibilities,
decision-making capacity, and career trajectory are aligned. The shared underlying
structure, then, is not an absolute absence of support but its uneven distribution.
Five participants linked research to teaching through undergraduate
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research groups, classroom projects, problem- or project-based learning, curriculum
updates, and student participation. Their accounts show that the classroom is not a
space set apart from research: it can serve as a source of questions, a setting for
research training, and a channel for transferring the knowledge produced.
“It comes together through the research-group practicum,
involving the student researchers in projects and subprojects”
(P01).
“I connect formative research with the students to
complement the research work done in the classroom” (P03).
“I'd like ideas to emerge from the classes themselves,
because that's where the problems worth solving show up” (P05).
P04, for his part, explained that working with research groups produced a
kind of reciprocal learning, since students' questions broadened the range of
concerns faculty themselves considered. P06 tied the curriculum to these research
groups, while P01 linked research activity to student projects more generally. Taken
together, these experiences point to an understanding of productivity that reaches
well beyond a simple publication count, encompassing the training of new
researchers, curricular transformation, and the circulation of knowledge within
pedagogical practice.
P02, meanwhile, offered the clearest counterpoint: during the semester,
teaching absorbed all available time, and research simply stopped. Teaching, in
other words, can act as a bridge when planning is genuinely integrated, but it can
just as easily become an obstacle when scheduling, assessments, and in-person
workload crowd out research activity. This helps explain why integration cannot
depend on the individual educator's goodwill alone.
Pedagogical practices, too, showed signs of ongoing change. Notably, every
participant expressed openness to shifts in how they teach, while at the same time
a critical stance emerged toward the unreflective use of technology.
“AI might help, but that's a far cry from letting it do the
analysis and draw the conclusions” (P02).
“One of the challenges is bringing innovation into the
classroom, artificial intelligence being the current one” (P06).
It should be stressed that this divergence does not amount to resistance
toward innovation as such. What comes through instead are several complementary
concerns: making the most of new tools to broaden teaching while safeguarding
independent thought, authorship, and professional judgment. Institutional training,
accordingly, needs to combine technological competencies with both ethical and
methodological criteria.
Organizational climate was the most consistently favorable dimension. All
six participants described the atmosphere as pleasant, good, ordinary but with
adequate relationships, or excellent, highlighting respect, responsibility,
commitment, collaboration, loyalty, and closeness among colleagues. In some
accounts, the work team itself became a direct source of learning and research
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capacity.
“It's a good, collaborative work environment; everyone
helps each other out” (P02).
“Excellent work environment. My team strengthens my
knowledge” (P05).
This finding makes it possible to distinguish the relational climate from the
underlying support structure. A good working atmosphere did not eliminate the
difficulties tied to workload, funding, infrastructure, autonomy, or participation.
Put differently, trust among colleagues is a valuable foundation, but it cannot
substitute for the policies, resources, and time that research actually requires.
Perceptions of available resources, meanwhile, proved highly uneven. P03
reported having internet access and technological resources, and P01 rated theirs as
adequate, whereas P02 said the tools were only available because they had
purchased them personally. P04, by contrast, pointed to shortcomings in the
facilities; P05 got by using free software; and P06 noted a shortage of simulators and
specialized programs. Needs, in other words, vary by discipline and cannot be met
with a one-size-fits-all allocation.
“I have the tools, but only because I buy them myself” (P02).
“We should have better access to modeling software” (P05).
Support for professional development was likewise experienced unevenly.
Some participants pointed to training pathways, diplomas, courses, mobility
programs, or workshops; while others did not regard these as sufficient support. P01
confirmed that policies existed but went largely unnoticed for want of feedback;
P04 and P06 said they were unaware of any growth plans. This points to a gap
between the formal existence of such activities and their recognition as a coherent
institutional pathway.
“They do exist, but they go unnoticed because there hasn't
been that feedback” (P01).
“It isn't enough; there's always a need for more training to
teach better” (P05).
Recognition, in turn, ranged from formal distinctions, congratulations,
flexibility, involvement in institutional processes, and emotional salary, to
ambivalent responses or the absence of any visible mechanism. P03, for instance,
mentioned merit-based distinctions; P02 emphasized the backing of supervisors and
colleagues; and P06 valued both freedom and time as forms of emotional salary.
Autonomy and participation showed even greater variation. P03 and P05 felt
they had the autonomy to organize their own processes and schedules, whereas P01,
P02, and P04 said they lacked it, and P06 described it as relative. Committees were
the participation mechanism cited by P01, P03, and P04; P05 pointed to self-
assessment; and P02 and P06 maintained that no effective mechanisms existed at
all. Communication was rated as continuous or adequate in some cases, acceptable
for P01, and distant or difficult to assess for P02 and P04.
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“You decide how to carry out your own research and
academic processes; there's autonomy” (P03).
“The only place I feel we're actually heard is in the
curriculum committees” (P04).
Taken together, the organizational experience emerges as an uneven web:
the institution can feel close-knit in its relationships while remaining restrictive in
terms of time and decision-making authority. This tension is central to understanding
the phenomenon, since it rules out any simple classification of the environment as
either favorable or unfavorable.
Participants' careers ranged from four to thirty years, yet all of them
described transformations in their practice over time. Accumulated experience
manifested as greater humanization, patience, attentiveness to learning styles,
disciplinary updating, use of active methodologies, and openness to technological
resources. Training was understood as an ongoing process, even among those who
already held advanced degrees.
“I've learned to be patient and to understand that there are
different learning styles; not everyone is the same” (P05).
“It has evolved quite a bit, become more humanistic” (P03).
These findings confirm that research productivity cannot be reduced to a
simple publication count. Reyes Cruz and Hernández Méndez (2014) link it instead
to motivation, institutional support, and organizational conditions, while other
researchers such as Serra and Tovar (2011) incorporate both relevance and academic
and social contribution into the concept. The accounts gathered here extend this
line of thinking, showing that productivity is built within a web of time, teaching,
networks, and managerial decisions.
The recurring workload imbalance echoes what authors such as Serrano de
Moreno et al. (2024) have observed, namely, that time devoted to research can prove
insufficient relative to other academic demands. Sarmiento and Ramírez (2023)
similarly argue that time, financial support, and technological provisioning are all
associated with scientific productivity. It is worth noting that these factors appeared
closely interconnected in the interviews: the absence of laboratories, for instance,
activated external networks, while a lack of resources for publishing pushed
participants toward free channels.
Another point worth considering concerns the integration of teaching and
research, an issue that aligns with the work of Rosero et al. (2016), who examine
the tensions and possibilities inherent in this relationship within the university
context. Undergraduate research groups, classroom projects, and curriculum
updates tend to function as integration mechanisms in this setting; yet P02's account
shows that such integration breaks down whenever teaching and research compete
for the same block of time. Educational administrators, accordingly, need to move
beyond merely recommending integration and instead design the conditions that
make it actually happen.
Bastidas (2019), in a study on the basic principles of research training for
faculty, argues that such training must develop specific competencies alongside a
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broader research culture. The participants here do recognize certain training
pathways and formative experiences, though not all of them regard these as
sufficient or as forming part of a coherent development plan. The finding, then,
points to something beyond simply adding more courses: it calls for differentiated
pathways tailored to experience and need, capable of translating training into
concrete outputs and practices.
With respect to the collaborative climate, these results align with Sandoval
Caraveo (2021), who ties climate to communication, trust, support, and cooperation.
The present findings add a further distinction, however: a positive climate is
necessary but not sufficient. Cordiality among colleagues, in other words, is no
substitute for laboratories, funding, or transparent workload rules.
Finally, the experiences of recognition and autonomy align with Herzberg's
motivation-hygiene theory as discussed by Madero Gómez (2019), as well as with the
self-determination theory of Ryan and Deci (2000). Recognition, autonomy, and the
opportunity to participate can all strengthen commitment, while their absence or
ambiguity can just as easily weaken it. In the accounts gathered here, recognition
carries weight when it takes the form of distinctions and flexibility, but loses force
when no visible mechanism exists or when it fails to translate into the actual
conditions needed to write and to conduct research.
Conclusions
This study concludes that faculty experiences of research productivity carry
diverse meanings, yet share an underlying structure: faculty sustain their research
through personal planning, additional time, resource-seeking, ties to external
networks, and the involvement of students in research groups and projects. When
the institution fails to adequately guarantee the time, resources, and support
required, however, research shifts into the personal domain and comes to depend
more heavily on each faculty member's own capacity for self-management, which
keeps the work going, but at the cost of making it more fragile, uneven, and difficult
to sustain. The study likewise identifies time availability, the distribution of
academic workload, funding, access to laboratories and specialized software,
opportunities for publication and dissemination, academic networks, professional
motivation, and the integration of research with teaching as central elements of this
experience.
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| Luly Stephanie Ricardo Jiménez |
Estrategia y Gestión Universitaria EGU
About the main author
Luly Stephanie Ricardo Jiménez: is a Business Administrator and Economist,
specializing in Human Talent Management and Econometrics Applied to Research,
and holds a Master’s degree in Research and Classroom Pedagogy. She is currently
pursuing a Doctorate in Education with a concentration in Educational Administration
at the University of Panama. She works as a teaching researcher at Corporación
Universitaria Remington, where she integrates teaching, research, and
internationalization.
Declaration of author responsibility
Luly Stephanie Ricardo Jiménez
1:
Conceptualization, Data Curation, Formal
Analysis, Investigation, Methodology, Resources, Software, Supervision,
Validation/Verification, Visualization, Writing
/Original Draft, and Writing/
Review &
Editing.
Financing:
Own resources
Special Acknowledgments: