Title Investicijų į technologines inovacijas rizikos vertinimas, taikant Tremanio dirbtinį neuroninį tinklą /
Translation of Title Risk assessment of investments in technological innovations, using artificial neural network of Tremani.
Authors Benetytė, Raminta
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Pages 70
Keywords [eng] Investments ; technological innovations ; artificial network
Abstract [eng] Scientists are increasingly exploring the innovation, the adaptation of their types, classification, also opportunity of applications, methods of assessment, the advantages and disadvantages. More scientific research appear, which emphasizes that the development of the Member States is based on innovation, because only it promotes the social, technological and economic development, to ensure the sustainability of such development. Businessmen also agree that the traditional factors of production based on economic growth are no longer a long-lasting, high quality, and satisfying the needs of the market. Both sides unequivocally agree that high productivity can only guarantee long-term and sustainable investments in innovation, because only in this way can be a comprehensive modernisation of the production, provision of services, the development of new and improved products, manufactured to enhance their competitiveness. However, despite the fact that corporate executives are aware that only the changes in the use of knowledge-based companies and the latest is the basis for the economic growth of the country, a source of productivity gains, not all companies are investing in innovation due the high risk. Lack of detailed, summary investigations, what are the risk factors hinder innovation in upgrades, what smart solutions can be applied to management of these factors and how to implement them. Therefore, this research aims to contribute to the work of researchers, with the emphasis on the importance of investment in innovation, but along the corporate executives by providing one of the more modern variants for risk management.
Dissertation Institution Kauno technologijos universitetas.
Type Master thesis
Language Lithuanian
Publication date 2016