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The Importance of Data-Bases in the Process of Knowledge Sharing Inside of an Eco-Bio-Economic Cluster

The term „database” refers to a structured collection of data, used to model aspects of reality in a way that allows useful information to be extracted. In order for the data resource to be well defined and documented, easily administered and interrogated, derives the need to use a proper database management system.
A Database Management System (DBMS) is an interface between users and the database and is designed to store data in an organized manner and to provide full software support for the development of databases IT-apps. A DBMS must ensure the minimizing the data processing cost, reduce response time, the IT apps flexibility and, of course the data protection. Within a cluster-type strategic alliance, an important part in the knowledge-sharing process returns to the database, which is organized in distinct areas of interest, using methods set by After Action Review, or SMART, or other methods organized under complex procedures. The Knowledge Economy Index Report represents an independent review of databases in different countries, based on innovation, creativity, increased production / sustainable consumption and exports.

  The Importance of Data-Bases in the Process of Knowledge Sharing Inside of an Eco-Bio-Economic Cluster (814.5 KiB, 2,052 hits)

Posted in Economics, Information Technology, Knowledge Management, Volume V, Issue no. 3Comments Off on The Importance of Data-Bases in the Process of Knowledge Sharing Inside of an Eco-Bio-Economic Cluster

Uml Language Use in Identifying Tangible and Intangible Assets in a Cluster

Clusters contain a group of related industries and other entities important in terms of competition and are geographic concentrations of interconnected companies and institutions belonging to a particular area. These include suppliers of specialized inputs such as components, machinery and services, and providers of specialized infrastructure. Clusters often extend downstream towards various distribution channels and customers and later to manufacturers of complementary products and the industries related by skills, technologies or common inputs. Finally, some clusters include governmental institutions and other entities – such as universities, standardizing agencies, think-tanks (ideas factories/ reflection groups), professional training providers and employers – providing specialized training, education, information, research and support.

  Uml Language Use in Identifying Tangible and Intangible Assets in a Cluster (349.6 KiB, 3,041 hits)

Posted in Information Technology, Knowledge Management, Volume III, Issue no. 6Comments Off on Uml Language Use in Identifying Tangible and Intangible Assets in a Cluster