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Análisis multivariante con indicadores de competitividad para el sector carrocero

Abstract:

Competitiveness is one of the aspects currently facing entrepreneurs around the world as a challenge. With this, it is necessary that there are measurements at these levels of competitiveness. The world of business and its increasingly globalized behavior, forces every entrepreneur to stay updated and in continuous improvement regarding all aspects of an organization. The present investigative work studies the measurement of the level of competitiveness that a company presents. The measurement of competitiveness is usually done at the macro or country level. However, the business sector is the one who most needs to know the position it has against others in the same sector. Thus, it becomes necessary to have a simple way to measure business competitiveness, optimizing time and providing timely information. Within a company there are several departments or managements, and determining competitiveness can be seen as a difficult task to achieve, due to the large number of local indicators per management area, as well XXI as the costs and time needed to carry it out. For this reason, the research work uses quantitative multivariate techniques that simplify the information without losing sight or excluding any important aspect. In the present research work, a Multivariate Analysis of Business Competitiveness Indicators is shown to simplify them in a single formula that covers this measurement in a simple way and allows reaching all business areas. The statistical method of Analysis of Main Components is used, which reduces the dimension of these indicators, condensing it into one or more components that group the variables with common characteristics that redo information. This statistical method was developed under the methodology of data reduction through the statistical program SPSS, which provides both tables and graphs for easy understanding. As a final part, a summary indicator is developed that allows business managers to adapt their data by indicating that it condenses the information without losing relevant information. This technique optimizes resources, especially time which is one of the most valuable resources for every entrepreneur. In conclusion, a formula for measuring business competitiveness of simple application is presented.