Introduction:

Since the beginning of the XXI century, several authors affirm that open business models (OBM) enable an organization to be more effective in creating as well as capturing value and are a prerequisite for successful co-development partnerships. As a result of both trends, the rising development costs and shorter product/service lifecycles, companies are finding it increasingly difficult to justify investments in innovation. The OBM solve both trends, underscoring the terms: “industry ecosystem” and/or “collaborative business model”. Not only it changes the innovation process but it also modifies organizations themselves by reconfiguring value chains and networks. For the firms, it creates a heuristic logic, based on the current business model and technology to extend them with strategy, to the development of innovation to create value and increasing revenues and profits. It emphasizes the external communities with governance as valuable resources with several roles that promote corporate competitiveness. So, for a specialized sector with high technology such as the information technologies sector of metropolitan zone of Guadalajara (ITSMZG), we posed the next research question: Which are the determinant factors of the OBM as an empirical model to be applied at the ITSMZG?

Method:

As you see, this research is aimed to pose, the determinant factors of the OBM as an empirical model to be applied at the ITSMZG.This is a documentary study to select the main variables among specialists in ITSMZG practicing the OBM process using analytic hierarchy process (AHP) and Delphi’s Panel to contrast the academic terms with the specialists experience. It´s a descriptive, exploratory, correlational, cross-sectional, qualitative-quantitative study to obtain a final questionnaire in Likert scale, with reliability tested through a pilot survey (Cronbach’s Alpha>0.75), applied during Jan. 2015-May 2016 to the total population asked: 600 specialists of ITSMZG (150 IT teachers and 150 representatives of consulting firms as “consultant part”; 290 IT SME CEO and 10 IT LE CEO as the “decision-making part”, since 1 year in the market, 80% with bachelor degree, 20% with postgrade, 20% women and 80% men). It was designed a first-order structural equation modeling (SEM) as a confirmatory factor analysis (CFA) technique, using the EQS 6.1 software to analyse the OBM underlying variables, to determine a final empirical model.

Results:

The result is an empirical OBM based on 5 main factors: business management BMG (10 variables/76 indicators), strategy (STR, 3 variables/14 indicators), technology (TEC, 3 variables/24 indicators), new entrepeneurships (NWE , 3 variables /7indicators) and open innovation orientation (OIO, 3 variables/18 indicators), empirically proved for the ITSMZG.

Conclusion:

Although the final empirical OBM has a significant positive effect among its variables, also showed different levels of factor loadings, meaning opportunities to improve the model for the ITSMZG.

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