The article identifies and substantiates the determinants of regions smart specialization, highlights the connection with the processes of environmental clusters formation to more effectively overcome the passivity of innovation and industrial policies in combination with the model of structural and organizational reconfiguration. The authors thoroughly studied the experience of EU countries in creating ecological clusters and producing eco-innovations. The main barriers of smart regions specialization in Ukraine and its problematic aspects in ensuring the development of ecological clusters are identified. The authors systematized the main ecological innovations in clusters. The article gives recommendations for the development of environmental clusters in Ukraine under the context of smart specialization.

Abstract. The success of the enterprise in the market depends on the level of its competitiveness, which, in turn, is determined by the level of competitive advantages of products developed and supplied to the market.Constant updating of the product range by modern enterprises allows them to extend the time of their effective life and ensure success in the long run. To do this, companies must constantly carry out innovative activity aimed at developing, implementing, and bringing new products to market to best meet consumer needs. However, companies must not only explore the main factors of success, but also the sources of risk that accompany the introduction of innovative products to market.The effectiveness of product innovation policy of the dairy industry is determined by the optimal combination of traditional and new products (new convenient packaging, new flavors, size, etc.). The article considers a fuzzy multiple approach to assessing the risk of bringing innovative products of the dairy industry to market.This approach is based on the «RWW» criteria for assessing the risk of bringing new products to market (Real, Win, Worth it), which is considered inthework of George S. Day. Based on the risk assessment criteria, a fuzzy-multiple model of risk assessment for bringing innovative products to market was built. As a result, an assessment for the risk of launching a novelty on the market was obtained for the three components o the RWW instrument and the integrated generalized one.The advantage of using the proposed method is the possibility of forming an aggregate risk indicator for the introduction of a new product on the market, which takes into account not only quantitative but also qualitative characteristics of the evaluation indicators. Keywords:digitalization, risk, digitalization, new product, innovative product, fuzzy multiple, fuzzy logic. JEL Classification С63, 81, M21 Formulas: 9; fig.: 3; tabl.: 12; bibl.: 27.