The article is focused on the organization of leisure activities for the population of the Far North and the Arctic. The factors of successful implementation of people’s intentions, finalized in the commercial success, are determined. The semantic load of three concepts has been clarified, the terms being entertainment, tourism and travel. It is proved that there is a real opportunity for the development and use of decision-making models. An overview of models for predicting entertainment needs for Arctic residents is provided. The following models are considered in detail: time series analysis model and a causal model for forecasting the flow of tourism to the Arctic. The flow models were studied from the point of view of decision making. A number of assumptions, their limitations or recommendations are formulated, adhering to which, one can help an individual make a choice which matches his or her wishes. Some tactical measures ensuring the flow of funds to the Arctic regions are identified and a hybrid model of integer programming for tourism planning in the Arctic is proposed. Also, a decision-making model has been developed for investment in tourism in the Arctic. It is proved that net profit alone should not be used to evaluate gains as it is necessary to take into account marginal utility, which reflects the contribution of a project to the indicator of attractiveness of this region for tourists. A method for evaluating utility is discussed. Weight factors are determined for the appropriateness of the Arctic regions for tourism and the methods to assess non-monetary gains are suggested.
The article analyzes the issues of introduction of innovative component in the work of Russian universities. The concept of "innovation in education" is studied, so there is no consensus on this issue among scientists. The article analyzes several approaches to this concept. It is noted that the main strategic objective of the innovative approach in higher education, in addition to direct training, is to acquire practical skills from students through the mandatory use in the educational process of industrial practices in modern enterprises, as well as participation in the scientific process of universities, including writing articles. A generalized model of innovation process in universities is proposed, which can be transformed for each specific University if necessary. The models of transformation of Russian universities into educational, scientific and innovative University complexes (UNIC) are also analyzed. The model of innovative University and stages of introduction of innovations in education are considered. An example of two universities is given: St. Petersburg Polytechnic University and Volga state technological University, which initiated the introduction of an innovative component in education. Conclusions are drawn about the need to competently and consistently implement innovative components in higher education using the processes of digitalization.
The article describes the role of “reference universities” in the socio-economic development of the region. The analysis of the branches of the economy of the Murmansk region in need of personnel, as well as a list of areas of training of specialists at the Murmansk Arctic State University, which need to carry out a target set of students.
The paper deals with issues related to the assessment of the Arctic regions: it is currently considered a major strategic development priority warranting some study. Innovative potential is taken to mean the readiness and ability of regional business organizations to exploit innovative capacities. The article considers methods for assessing the innovative potential of the Arctic regions and proposes an algorithm for the assessment of the innovative potential level of the Arctic regions. This assessment makes it possible to determine a strategy for managing innovations in the regions and to identify the needs for resourcing innovations. Continuous monitoring of innovative potential and its components will contribute towards a more pertinent design and implementation of a regional policy for the innovative development of the Arctic regions. Further research is intended to utilize the proposed algorithm to make forecast calculations on the basis of statistical data with the aim of determining prospects for the development of the innovative potential of the Arctic regions with due account for main resource categories.
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