Análisis de redes organizacionales con herramientas multicriterio y análisis de componentes principales

Abstract

Currently many organizations have adopted data analysis to support their decision-making seeking to improve their competitiveness and operation. Social network analysis (SNA) is an efficient option to analyze the structure of an organizational network using representative indicators of a company's internal relationships. The complexity of integration and interpretation of SNA indicators has limited their use in business organizations, therefore, the objective in this work is to build a comprehensive measure that combines SNA indicators, considering two approaches: multicriteria analysis (TOPSIS) and principal components analysis (PCA). We analyzed the structure of the Mathematics Research Center (Aguascalientes) using the SNA approach. We identified the actors with the greatest influence in the said organization using TOPSIS and PCA. The results showed that the two integration techniques were suitable for organizational network analysis (ONA). However, TOPSIS showed higher computational efficiency and order facility compared to PCA. It is concluded that the SNA indicators are sufficient to characterize the structure of the organizational network. The work developed in this research facilitates the adoption of structural analysis metrics in organizations of various types.