Индикаторы инновационной деятельности: 2017 статистический сборник
This data book presents the results of statistical surveys characterising innovation processes in the Russian economy. The aggregates showing the level of development of technological and non-technological innovation were produced in accordance with modern international standards of the Organization for Economic Cooperation and Development (OECD) and Eurostat and are presented in dynamics. The publication contains statistical data reflecting the innovation activity in industry, services and construction. Resource provision and innovation output, cooperation ties, economic, industrial and other factors hampering innovation are closely reviewed. A specific chapter deals with ecological innovation. Special sections are devoted to the characteristics of innovation activity in the regions of the Russian Federation and international comparisons covering a wide range of indicators. The data book includes information of the Federal State Statistics Service, OECD, European Commission, Eurostat, national statistical agencies of foreign countries, and results of methodological and analytical studies conducted at HSE Institute for Statistical Studies and Economics of Knowledge
Today the increasing number of constant consumers is a strategic aim for any organization which is possible to be achieved only under condition of continuous perfection of organizational activity quality. If the service representation doesn't correspond to the consumers’ expectations they lose their interest to the service organization, if it does correspond or surpass their expectations they probably would readdress to service provider. For this reason the service organization should more precisely reveal consumers requirements and expectations, namely provider should constantly measure its service quality.
In the given work approaches by the Russian and foreign researchers in the field of quality management are studied and analyzed in details, namely:
- approaches to the «service quality» definition;
- the basic components of service quality management process;
- service organization quality model.
The purpose of research work consists of ISQM (Innovation System of Quality Management) model creation taking into account features of TCS providing, which, in turn, is targeted on TCS company purposes achievement in the field of quality by means of:
- setting the control values of TCS quality indicators;
- measuring of the reached results and their comparison with expected results;
- effective management decision making as a result of carrying out the analysis of managerial activity in the field of quality on the basis of the report containing recommendations for the company activity improvement, prepared due to the results of measuring and collecting quality indicators.
The data book presents the results of statistical innovation surveys in the Russian Federation. It contains internationally compatible indicators characterizing the level of innovative activity in industry and services. The publication covers statistical data reflecting innovation expenditure and output, co-operational linkages, and factors hampering innovation. Specific chapter is devoted to ecological innovation. International comparisons with a wide range of innovation indicators are provided as well. The data book includes information of the Federal Service for State Statistics, Organisation for Economic Co-operation and Development, European Commission, Eurostat, national statistical agencies, and results of own methodological and analytical studies of the HSE Institute for Statistical Studies and Economics of Knowledge.
This proceeding volume contains selected contributions from the participants of the IV International Young Researchers Conference: Physics, Technologies and Innovation (PTI-2017) held from May 15 to 19, 2017 in Ekaterinburg, Russia. The conference continued the tradition of annual meetings in the general area of modern science and innovative technology. This, fourth, conference was organized and held by the Institute of Physics and Technology of the Ural Federal University, one of the largest educational institutions in Russia. The primary aim of the conference was providing the opportunity for younger researchers (of graduate and postgraduate level) to meet and discuss the results of their studies, and to present their work in front of a panel of national and international experts. To encourage graduate and postgraduate students to attend and make the meeting as accessible as possible, the conference this year, same as previously, was totally free of charge for all the participants.
A model for organizing cargo transportation between two node stations connected by a railway line which contains a certain number of intermediate stations is considered. The movement of cargo is in one direction. Such a situation may occur, for example, if one of the node stations is located in a region which produce raw material for manufacturing industry located in another region, and there is another node station. The organization of freight traﬃc is performed by means of a number of technologies. These technologies determine the rules for taking on cargo at the initial node station, the rules of interaction between neighboring stations, as well as the rule of distribution of cargo to the ﬁnal node stations. The process of cargo transportation is followed by the set rule of control. For such a model, one must determine possible modes of cargo transportation and describe their properties. This model is described by a ﬁnite-dimensional system of diﬀerential equations with nonlocal linear restrictions. The class of the solution satisfying nonlocal linear restrictions is extremely narrow. It results in the need for the “correct” extension of solutions of a system of diﬀerential equations to a class of quasi-solutions having the distinctive feature of gaps in a countable number of points. It was possible numerically using the Runge–Kutta method of the fourth order to build these quasi-solutions and determine their rate of growth. Let us note that in the technical plan the main complexity consisted in obtaining quasi-solutions satisfying the nonlocal linear restrictions. Furthermore, we investigated the dependence of quasi-solutions and, in particular, sizes of gaps (jumps) of solutions on a number of parameters of the model characterizing a rule of control, technologies for transportation of cargo and intensity of giving of cargo on a node station.