The purpose of this article is to analyze the problems of the development of the Arctic space, the prospects for the development of international cooperation in this field, to determine the role of international clusters in the development of the subarctic region. The cluster is considered as an international organization defining development strategies for state cooperation, joint business activities, the formation of the information space in the framework of the international innovation system with the active use of the innovation potential of cluster members' cooperation.
Abstract. The article is aimed at developing cogent proposals to shorten the implementation of pre-incubation stage of the innovation lifecycle. To achieve the goal, we proposed a framework to formalized description of innovative systems that allowed us to identify structure and set of elements of the system that are invariant with respect to its levels. The analysis of the most popular innovation process models allowed us to single out the feedback as a key structural element of the system, which to a large extent determines the dynamics of the innovation process. It is shown that the absence of specialized infrastructural elements of innovation systems that could provide cross-cutting feedback at the pre-incubation stage is a deterrent to accelerate innovation.
Knowledge has always been, and still is, a crucial source of economy. However, during the past few years we have seen a growing interest in treating knowledge as a significant organizational resource for innovation. This trend coincides with the rapid development of ICT, indicating the strong influence that ICTs have on the processes of creating, disseminating, and using knowledge. At present, issues of innovation management and knowledge management are studied independently, which creates a certain gap in the systemic understanding of the innovation development processes. The paper proposes an integrated approach to the issues mentioned. The hierarchy and taxonomy of knowledge are considered from the point of view of their influence on decision-making at different stages of the innovation lifecycle. Our proposition complements and contributes to several recent models of decision-making developed in the frame of the innovation process.
Abstract. The modern society is characterized by qualitative changes in the volumes, composition and significance of collected and processed data. This data reflects the condition of the real and virtual world surrounding people and it is used for respective impact on the real and virtual world. All this requires theoretical generalizations that form a single conceptual platform as for managers working with the real world and for knowledge management professionals who work with the virtual world. The traditional model of taking decisions in management indirectly reflects the significance of knowledge and other elements of the virtual world for taking effective decisions which have impact on the real world. However the process of forming knowledge is not reflected in these models. Traditional models of knowledge management mainly concentrate on the internal transformation processes "data-information-knowledge-wisdom" which further are used for taking decisions.
The energy industry is regarded as a leader in introducing innovations among other industries. Solutions are proposed to reduce energy consumption. The features of energy supply to consumers in difficult conditions of economic, technical and climatic nature are identified, provided that large systems with a high level of complexity of system interconnection are integrated. The main focus is on the use of technology “smart home”. The use of Smart Grid and Smart Home technologies significantly improves the efficiency of business processes, which in turn allows you to more accurately plan energy consumption. Studies have shown that the use of innovative technologies can save up to a third of the energy consumed, but the population has no significant motivation to plan and save energy. However, there is a positive trend in the use of Smart Grid and Smart Home technologies in optimizing the management of business processes by business structures, for example, , in optimizing security tools, managing household engineering systems, etc.
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