Often difficulties in decision-making arise because of the lack of robust mechanisms permitting to obtain predictive indicators based on past data. Hence, it is vitally important to have tools and procedures that allow us to apply forecasting methods by indicators to corroborate its feasibility and use within the management of organizational knowledge. This has motivated our research for a methodological framework that may allow weighting the indicators' evolution. This work proposes a scientific approach in the field of improvement of management by indicators in organizations that are conscious about the importance of strategic decision-making based on the evolution of indicators that mark the direction and health status of the organization.
CITATION STYLE
Illescas, G., Sanchez-Segura, M. I., & Canziani, G. A. (2015). Métodos de Pronóstico por Indicadores dentro de la Gestión del Conocimiento Organizacional. RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, (E3), 29–41. https://doi.org/10.17013/risti.e3.29-41
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