Suchergebnisse

Innovative activities underpin the economic development and competitiveness of Russian regions. This article seeks to compare the innovation performance of Russia's north-western regions, which are among the most progressive in the country, and their available resource. A review of the literature suggests that most Russian publications combine systems of composite indices with econometric and statistical approaches to evaluate regional innovation performance. The same methods are employed in this study. Comparative analysis indicates significant differences between the regions in both available resource and innovation advancements. Juxtaposing composite resource availability indices and innovation performance aided in devising a typology of regions and analysing changes in the position in a composite evaluation matrix. The findings demonstrate that Saint Petersburg and the Leningrad region comfortably outperform the other northwestern regions in innovation. Regression and correlation analysis reveals that innovation performance depends crucially on earlier achievements and currently available resources. The Novgorod region, however, is making headway without a marked change in the level of resources. Thus, it is important to transfer innovations designed in resource-rich regions to their less well-off counterparts to achieve positive synergy throughout northwest Russia.

WeGovNow (WGN) is a platform combining a number of e-Government web-map based services. The platform is designed to increase citizens' involvement into government of urban areas and collaborative decision making processes. Data quality is one of the most important factors for success of e-Government solutions. A data quality concept for the WGN platform was developed. In the frame of the platform, ground-truth reference datasets are not available. Thus, data quality is assessed intrinsically and comparably. OpenStreetMap (OSM) is a base map for all WGN components; Open Data spatial layers are provided by municipalities. OSM data quality is assessed for tiles; quality of Open Data provided by municipalities is evaluated in comparison to OSM data with defined quality. Additionally, OSM and Open Data with defined quality are utilized to improve users' input. Currently, the following tools for users' input improvement are available: auto completing, spell checking, auto snapping, and object picking.