Predictive relationship of knowledge management and business innovation: A model based on PLS structural equations

Abstract

In this study we describe flexible modeling using structural equations of partial least squares (PLS) based on the analysis of variance, to predict the dependency relationships of a theoretical model supported by internal and external conditions for the development of innovation capabilities that they include the endogenous variables; organizational culture, exploitation innovation, exploration and ambidestreza, innovative performance, competitiveness, University-Business collaboration and business innovation, and its relationship with the exogenous variable; knowledge management practices. In the method, three phases were applied; the consideration of the theory and previous investigations for the construction of the conceptual model, the application of the measurement model related to the attributes of validity and reliability of the constructs, the structural model that evaluates the weight and the magnitude of the relationships between variables. Out of the main results, values higher than the minimum variance value explained were obtained, which is recommended to be Falk ≥ 0.10 and a model adjustment value greater than 0.50, thereby inferring the existence of a positive relationship of predictive interdependence and significant variance of the variables, which favor the creation of product, service or process innovations in companies.