How the Big Data is influencing the Open Innovation. First insights into the IT Sector of Mexico

Abstract

The purpose is aimed to disclose how the Big Data (BGD) is affecting the practice of Open Innovation (OIN) in the Information Technologies Sector of the Metropolitan Zone of Guadalajara, México (ITSMZG) to achieve an empirical model for the improvement of this sector. The Design was based on literature reviewed to propose conceptual constructs through the factors BGD and OIN. The methodology is descriptive, exploratory, correlational, and cross sectional. The Delphi Panel and Analytic Hierarchy Process (AHP) were used to get the main factors, the variables, and the final questionnaire of the model, applied to 500 ITSMZG specialists, were used. The results were analyzed using a multiple linear regression and a confirmatory factor analysis, applying the structural equation modeling by the EQS 6.2 software. A final model, a questionnaire, and the relationships between factors such as the OIN and the Knowledge Management (KMG), as well as the Open Business Model (OBM) and Innovation Ecosystem (IEC) related with BGD, were obtained.