Smart Specialisation Strategy – bibliometric analysis & GoSmart BSR project practices

Recently, an article was made by Anna Bagieńska and Patrycja Rogowska, aiming at presenting practical solutions used in the GoSmart BSR project to identify transnational smart specialization strategies in the light of current research directions. The article uses descriptive analysis of the results and bibliometric analysis using tools available in VOSviewer and SCOPUS database (303 publications). The article presents results of bibliographic research with clusters analysis and assumptions of The methodology for Transnational Smart Specialisation Strategy (Trans-S3).

It was indicated that there’s a growing interest of researchers in the smart specialisation strategy. The VOSviewer network connections showed that innovation is the most important element of S3 (Fig.3).  Five main clusters in which research is conducted  have been identified (Fig. 4):
1) regional S3 discovery process,
2) management for sustainable development,
3) innovation — a key to EU development,
4) European cohesion policy,
5) innovative collaboration system.
The research gaps are  the role of S3 in the development of SMEs and involvement participants in identifying S3 representing all quadruple-helix environments.

The GoSmart BSR project assumes that the best way to achieve the competitiveness of the region and primarily of SMEs is internationalisation. As part of the project the joint transnational smart specialisation strategy (Trans-S3) has been developed for the 7 project target regions. So far, only one publication in the Scopus database has highlighted the importance of transnational S3 in regional policy. It should therefore be concluded that Trans-S3 is a new area in both research and practice.

Read the article here > https://gosmartbsr.eu/?wpdmdl=2153

Fig.3. Network of terms from publication abstracts, title and keywords

Source: Authors’ Vosviewer analysis.

Fig.4. The clusters of Smart Specialisation Strategy publications

Source: Authors’ Vosviewer analysis.