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Towards Knowledge Driven Individual Integrated Indicators of Innovativeness
Abstract
Innovativeness of the enterprises is a key factor for the development of a national economy and has a crucial impact on the prosperity of a country. Governments spend a lot of efforts developing, organizing and then implementing national innovation systems. Proper functioning of such a system requires a lot of information to be gathered. The situation has to be constantly monitored as the innovation is an inherently dynamic phenomenon. An important goal of information gathering is learning a profile and specifics of the most innovative enterprises, promote them and make them more visible. Due to that some non-standard data analysis techniques are needed which can provide results of data gathering in a form suitable for the specific goals of the analysis. In this paper a pioneering system for innovativeness evaluation based on integrated indicators constructed for individual enterprises in Poland is described. An evaluation methodology has been developed, incorporating both quantitative and qualitative characteristics of the enterprises. The linguistic summaries of data are shown to be a promising data analysis tool, meeting the criteria which are discussed as relevant for the task considered. Briefly, these summaries make it possible to grasp the very essence of the collected data and communicate it in an intuitive, natural language like form.
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