The purpose of this paper is to model the relationship between “innovation systems” players and markets to indicate the “innovation functions” behavior during the petrochemical technology life cycle.
In a general classification, innovation systems are divided into four categories: technical, sectoral, regional and national. If two approaches are hybrid, their benefits would be combined. According to the sectoral structure of the governance model in Iran, in many sectors, such as petrochemical technology, the combination of one another with a sectoral approach is essential. Hence, this paper has introduced a new hybrid approach, called a techno-sectoral innovation system, and has used system dynamics as a methodology and a petrochemical industry as a case study.
The results predict the functions state of the innovation system and detect activation of innovation motors in each stage of innovation life cycle. Validation is investigated using Monte Carlo simulation that shows the error of the indices is acceptable. It can be concluded that the model is relatively in a development state and the motor of entrepreneurship functions.
This case-based model can help other researchers, as a generic model. It could be customized with the input parameters and relational flows of new cases, and functions (F1-F7) can show the result of each scenario made by the innovation analyst and the policymaker.
Azad, S. and Ghodsypour, S. (2018), "Modeling the dynamics of technological innovation system in the oil and gas sector", Kybernetes, Vol. 47 No. 4, pp. 771-800. https://doi.org/10.1108/K-03-2017-0083Download as .RIS
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