Authors :
Wabo Fonkwa Jordan Igor; Etouna Joachim
Volume/Issue :
Volume 9 - 2024, Issue 8 - August
Google Scholar :
https://tinyurl.com/59y3snvv
Scribd :
https://tinyurl.com/2j4z7kum
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24AUG1446
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
Renewing competitiveness is a permanent
challenge in football to ensure its survival, as the world
quickly tires of the absence of magic or of the same
champion winning every time. Football governing bodies
around the world have therefore invested heavily in the
detection and training of new talent according to a well-
defined planning model. In Cameroon, we have seen a
decline in the overall level of football through the absence
of results for several years on the continental stage,
whether by local clubs or the national team, and this can
be explained by the absence of a clear planning policy with
regard to the detection of new talent. In this context, the
aim of our study was to map the performance of
departments in terms of their development ecosystem in
producing talent in order to revitalise football in
Cameroon. The methodology used consisted of a weighted
hierarchical analysis of the various criteria considered in
the talent development ecosystem, including the
concentration of young people in the departments, as well
as the infrastructure, structures such as clubs and
training centres that cater for them, and also their
educational and health care. The data was collected and
processed using appropriate geographic information
science tools and software. The results revealed three
categories of departmental performance, with only 4 of
Cameroon's 58 departments performing very well, 18
performing moderately well in terms of producing talent
for the development ecosystem and the rest not
performing at all. With a view to planning detections
throughout the country, these results are convincing and
will enable FECAFOOT decision-makers to draw on clear
studies to launch the new generation of Cameroonian
football, and also to identify concrete areas for
improvement in the less successful departments.
Keywords :
Football, Weighted Hierarchical Analysis, Talent Development Ecosystem, Cartography, Geographic Information Sciences
References :
- Saaty, T.L. (1980). The analytic hierarchy process, planning, priority setting, resource allocation. McGraw-Hill: New-York.
- Guillaume, P. Félix, P., Jean-Marc, T. & Antoine, G. (2018). Aide à la décision par l’application de la méthode AHP (Analytic Hierarchy Process) à l’analyse multicritère des stratégies d’aménagement du grand Buech à la Faurie. Sciences Eaux & Territoires, p. 54-57.
- Cazorla G. (2010). Développements biologiques et capacités physiologiques au cours de l’adolescence. Paris : Clinicposport. 39p.
- Mena, S. (2000). Introduction aux méthodes multicritères d’aide à la décision.
Biotechnol.Agron. Soc.Environ.2000 4 (2), p 83-93.
- Kemal F. (2022). Management des talents et des compétences sportives en football : Cas des centres de formation au Maroc. Réflexions Sportives, n-2, p.p. 174-189.
- Gaëlle Guesdon. (2011). Méthodes et outils Aide multicritère à la décision comparaison de Saaty.
- FIFA. (2021). « Renforcer la compétitivité au niveau mondial-une analyse de l’écosystème de développement des talents ». Zurich (Suisse) : FIFA. 170p. https://www.fifatrainingcentre.com/en/environment/talent-development/talent-development/global-report.php
- FIFA. (2022). FIFA Forward-Global report on development activities (2016-2022). Zurich (Suisse) : FIFA. 248p. https://inside.fifa.com/fr/football-development/fifa-forward/fifa-forward-report#pr%C3%A9sentation
- Cazorla G. (2010). Détection du jeune talent en football. Cellule de Recherche Fédération Francaise de Football, Association pour la Recherche et l’Evaluation en Activité Physique et en Sport, n-1, p.p. 1-47.
- Cafonline.com. (2023). Retrieved on 03 May 2024 from https://www.cafonline.com/fr/
- https://fecafoot-officiel.com/ consulted on 16 May 2024
- https://www.fifa.com/fr/worldfootball/bigcount/ consulted on 24 April 2024
- CamerounPopulation. (2023). Retrieved on 16 July 2024 from https://www.worldomenters.info/world-population/cameroonpopulation/
Renewing competitiveness is a permanent
challenge in football to ensure its survival, as the world
quickly tires of the absence of magic or of the same
champion winning every time. Football governing bodies
around the world have therefore invested heavily in the
detection and training of new talent according to a well-
defined planning model. In Cameroon, we have seen a
decline in the overall level of football through the absence
of results for several years on the continental stage,
whether by local clubs or the national team, and this can
be explained by the absence of a clear planning policy with
regard to the detection of new talent. In this context, the
aim of our study was to map the performance of
departments in terms of their development ecosystem in
producing talent in order to revitalise football in
Cameroon. The methodology used consisted of a weighted
hierarchical analysis of the various criteria considered in
the talent development ecosystem, including the
concentration of young people in the departments, as well
as the infrastructure, structures such as clubs and
training centres that cater for them, and also their
educational and health care. The data was collected and
processed using appropriate geographic information
science tools and software. The results revealed three
categories of departmental performance, with only 4 of
Cameroon's 58 departments performing very well, 18
performing moderately well in terms of producing talent
for the development ecosystem and the rest not
performing at all. With a view to planning detections
throughout the country, these results are convincing and
will enable FECAFOOT decision-makers to draw on clear
studies to launch the new generation of Cameroonian
football, and also to identify concrete areas for
improvement in the less successful departments.
Keywords :
Football, Weighted Hierarchical Analysis, Talent Development Ecosystem, Cartography, Geographic Information Sciences
