In recent years, the increasing importance of Digital Innovation Hubs (DIHs) in supporting manufacturing Small and Medium Enterprises (SMEs) has been widely studied and several works listing lessons learnt and success stories have been published. To further foster the impact of these entities on the SMEs’ environment, The European Commission has recently introduced the Smart Specialisation Platform, which contains a web service returning to its users a geo-distributed list of DIHs, allowing the user also to cluster and visualise them according to some pre-defined filters, such as the types of technologies employed. The data provided by this platform has been downloaded and a secondary data analysis, based on the websites of the DIHs has been carried on to frame the single DIHs according to the axes of the D-BEST methodology. A comparative analysis with respect to the Italian and Poland situation completes the study, to understand eventual differences and affinities among the two countries.
Using the D-BEST Reference Model to Compare Italian and Polish Digital Innovation Hubs / Quadrini, W.; Gladysz, B.; Terzi, S.; Sassanelli, C.. - 3214:(2022). (Intervento presentato al convegno 2022 Interoperability for Enterprise Systems and Applications Workshops, I-ESA Workshops 2022 tenutosi a UPV, esp nel 2022).
Using the D-BEST Reference Model to Compare Italian and Polish Digital Innovation Hubs
Sassanelli C.
2022-01-01
Abstract
In recent years, the increasing importance of Digital Innovation Hubs (DIHs) in supporting manufacturing Small and Medium Enterprises (SMEs) has been widely studied and several works listing lessons learnt and success stories have been published. To further foster the impact of these entities on the SMEs’ environment, The European Commission has recently introduced the Smart Specialisation Platform, which contains a web service returning to its users a geo-distributed list of DIHs, allowing the user also to cluster and visualise them according to some pre-defined filters, such as the types of technologies employed. The data provided by this platform has been downloaded and a secondary data analysis, based on the websites of the DIHs has been carried on to frame the single DIHs according to the axes of the D-BEST methodology. A comparative analysis with respect to the Italian and Poland situation completes the study, to understand eventual differences and affinities among the two countries.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
