A summary of innovation models that promote clustering

Stefanovska Ceravolo, Ljubica and Polenakovik, Radmil and Dzidrov, Misko (2016) A summary of innovation models that promote clustering. In: VII Balkan and Black Sea Conference, Days of Clusters 2016, 22-24 Sept 2016, Ohrid, Macedonia.

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Abstract

The literature on innovation models shows six known and widely accepted generations of innovation models on both company and economy level. Three out of six generations of innovation models explain the importance of networking and
clustering. In this paper we give a summary of the generations of innovation models and show the transformation from linear to system, networking and open innovation models. The main goal is to give a framework that will be used as a foundation for creating a theoretical innovation model which should increase the company’s innovation activity by using the concept of clustering and networking as a concept for improving the country’s innovative performance. Companies can be clustered by regions (this will enable easier engagement and enrollment) and by industry (smaller and less competitive companies will be enabled to innovate) with a possibility of including government bodies and educational institutions in the process. Clusters have a certain dynamic and they need to be fit for long term adaptability within the regions, foster building trust and a continuous culture for innovation. The cluster policy also has an effect on the National Innovation System (NIS). For countries with low innovative activity as well as decreased funding and expenditures for research and development (R&D), it is of great importance that an innovation model is created which would help companies increase innovative activities, network and share not only the expenses, but knowledge and resources as well.

Item Type: Conference or Workshop Item (Lecture)
Subjects: Social Sciences > Economics and business
Engineering and Technology > Other engineering and technologies
Divisions: Faculty of Mechanical Engineering
Depositing User: Ljubica Stefanovska Ceravolo
Date Deposited: 25 Oct 2016 13:21
Last Modified: 25 Oct 2016 13:21
URI: https://eprints.ugd.edu.mk/id/eprint/16486

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