Objective: The primary objective of this research is to present a model of the innovation network for knowledge-based firms, delineating its components, concepts, dimensions, and categories. This model provides a foundation for developing innovation, planning, and policymaking, and offers a framework for transforming ideas into innovation and their subsequent commercialization. Overall, it aims to enhance and improve the performance of knowledge-based firms.
Methodology: This research adopts a mixed-methods approach and was carried out in two phases. The first phase was qualitative, in which data were collected through semi-structured in-depth interviews within the research community. Through analysis, a paradigmatic model was developed. The second phase was quantitative, in which the validity of the proposed innovation network model was assessed using structural equation modeling (SEM) based on questionnaire data collected from the research population. In terms of purpose, this study is classified as fundamental and exploratory research, conducted using the grounded theory approach (Strauss and Corbin's categorization method). Data analysis was performed using MAXQDA software.
Findings: The innovation network model of knowledge-based firms, developed through the grounded theory approach derived from interview analysis and coding procedures, comprises six main categories: causal conditions, the core category, intervening conditions, contextual conditions, strategies, and consequences. The model further encompasses 33 concepts and 121 components (codes). The validity of the innovation network model was confirmed through a survey of expert managers from knowledge-based firms affiliated with science and technology parks at top-tier universities in the country (N=112), using structural equation modeling with the partial least squares (PLS) approach and Smart PLS software.
Conclusion: This research demonstrates that the innovation network comprises numerous dimensions, concepts, and components, and that knowledge-based firms must attend to all its indicators to achieve maturity and success. Overall, identifying the categories, concepts, and components of the innovation network model facilitates its application within knowledge-based firms. Its adoption, in turn, streamlines and accelerates the innovation process and cycle, enhances business operations and start-up activities, and increases their competitiveness.