26th International Association for Management of Technology Conference - IAMOT 2017

The Ministry of Science, Technology and Productive Innovation of Argentina MINCYT, with the aim of creating inputs to facilitate strategic planning processes at the national, territorial and sectorial levels, set itself the objective of establishing Competitive Intelligence as a National Policy for Science, Technology and Innovation. The Ministry recognizes the strategic value of technical literature and digital information for the generation and development of strategies for knowledge management and innovation in the territory. The National Program of Technological Scanning and Competitive Intelligence - VINTEC Program - of the National Studies Department, with the purpose of promoting the generation of a National System of TS&CI, develops among its lines of work, Panoramic Studies of Technological Scanning and Competitive Intelligence. Studies that present and analyze scientific, technological and market information in such a way as to be able to visualize the evolution of scientific production and patent applications, identify relevant actors, countries and areas of technological research and development and leading players in the market. Documents elaborated with the technical support of the industry experts and the knowledge of the context by the business chambers. The information is obtained by consulting and analyzing the information provided by international databases of publications, technical articles, patent documents and R+D+I projects. Data mining software tools were used to analyze the information in search results on patent bases and scientific literature. The purpose of the paper is to present how the Competitive Intelligence is a strategy for the incorporation of the digitized information in the processes of research, innovation and technological transference in the productive sectors, thereby, the paper describes the methodological steps and the software tools that support the data mining process: (I) selection of the data set, (ii) analysis of the properties of the data, (iii) transformation of the data set, (iv) selection and application of the data mining technique, (v) extraction of knowledge, and (vi) interpretation and evaluation of data, to generate new information, which will be submitted to the expert opinion. As an example, will be presented the Panoramic Study on Composite Materials technologies in the automotive parts sector, which was carried out collaboratively with the Association of Argentine Component Manufacturers - AFAC with the following content structure: characteristics of the automotive complex, importance and incorporation of composite materials in the automotive sector, analysis of information from scientific publications and patent documents, and perspectives and challenges of composite materials in the automotive industry. It is the experience acquired by the Ministry of Science Technology and Productive Innovation - Argentina, as an institution of the State, in the search for the positioning of Competitive Intelligence as a strategy for the collective generation of inputs to support strategic plans of STI in the Argentine industry.