REVISTA DYNA MANAGEMENT

Key words:

empresas innovadoras, modelo organizacional, gestión de proyectos de I+D+i, análisis de regresión, innovative companies, organizational model, project management R&D&I, regression analysis

Article type:

ARTICULO DE INVESTIGACION / RESEARCH ARTICLE

Section:

COLLABORATIONS

ABSTRACT:
Innovation in SMEs based on the processes and research projects, development and technological innovation (R&D&I i) is currently a fundamental pillar for competitiveness and economic growth.
Technological innovation studies usually focus on the analysis of expenditures. However relations dependents are not discussed, even though it is known that in the microeconomic field, the relationship between R&D&I and competitiveness reveals complex and not reducible to a simple linear relationship. Numerous quantitative studies related to SMEs that do Research, Technological Development and Technological Innovation (R&D&I) exist, but if a company decides to start innovating, there are no references on structures, organizations, performances, etc. available in companies that already innovate.
It has a systematic self-analysis to study the Spanish productive SMEs performing R&D&I. The analyzed entities have a common characteristic and it is that they have achieved at least one IMV in any of the annualities worked.
In order to model the sample of companies and projects several regression analysis, have been carried out which allow to model the relationship between a dependent variable and several independent variables, that is, it yields an equation that determines the value of the dependent variable function of the independent variables. Specifically, regression lines have worked variables related company (the business result, the number of employees, turnover, the relationship between turnover and number of employees and justified expenses in R&D&i) and variables project (project budget amounts justified and accepted by the MINECO amounts in R & D, TI and R&D&i).

Keywords: innovative companies, organizational model, project management R&D&I, regression analysis.