Dean — Nikolay Filinov
First Deputy Dean — Irina Volkova
Deputy Dean for Academic Affairs — Ivan Elyashevich
Deputy Dean for Admissions and Student and Alumni Relations — Irina Lesovskaya
33/5 Kirpichnaya Ulitsa
Public procurement procedures prescribed by legislation not only enhance transparency and competition but also entail certain transaction costs for both customers and suppliers. These costs are important to the efficiency of the procurement system. However, very few previous studies have focused on estimating procurement costs. This paper proposes a methodology for public procurement cost evaluation. We show how procurement costs can be calculated using a formalized survey of public customers. This methodology was tested with a representative group of public customers operating in one region of the Russian Federation. We formulate the policy implications of our study as they relate to the improvement of public procurement regulations and argue that this methodological approach can be applied in other developing and transitioning economies.
The generality of synergetic principles of the processes of autowave self-organization in active medium makes it possible to apply the model, which describes the evolving physicochemical and biophysical systems and is based on the modified system of Fitz-Hue-Nagumo equations, to describe the spatiotemporal behavior of the stock market with its most used pattern such as propagating Elliott waves.
The ecological modernisation of enterprises has led to significant levels of total emissions in the atmosphere. This is a very important and complex issue for the Republic of Armenia (RA). An agent-based model was developed to determine the best trade-offs for the ecological modernisation of enterprises. The aim is to solve the bi-objective optimisation problem, the objectives of which are the ‘Integrated Volume of Total Emissions’ and the ‘Integrated Index of Industrial Production’. The results indicate that it is possible to reduce the total emissions in the atmosphere by more than 20% for a ten-year period. This may be done by keeping up the positive dynamics of industrial production through choosing trade-offs in the frame of the ‘Pareto-optimal ecological modernisation’ scenario. The scenario was obtained with the help of the suggested genetic algorithm, modified for the problem of the binary control of transitions from initial non-ecological states of each enterprise, towards the target state of ecologically pure manufacturing.
This work deals with investment decision in downstream, and as is wellknown no two refineries are exactly alike, even if they are owned by the same company(Cheremisinoff 2001). Each was designed with a combination of several technologies to meet requirements (market opportunities, availabilities, financial capability, environmental realities) (Energy 2009). One of the most commonly used methods for the comparison of refineries is the comparison by the single technical and economic indicator, the so-called “Nelson Index” (Johnston 1996) (hereinafter referred to as the NCI), which shows the complexity of the equipment installed in relation to the primary distillation process. The NCI index indicates not only the intensity of the investment or index value of the plant but also its potential for added value. Thus, the higher the NCI index, the higher the cost of the oil refinery, and the higher the quality and level of its products.
In universities and technical colleges with relevant IT qualifications in one semester multiple streams, courses and specializations can use software products for training purposes. IT services of universities should deal with the challenge of creating the infrastructure of educational applications that can support the educational process. We note that the number of specializations which study information technology are growing every year (for example, in HSE there are disciplines-minors, which can enroll students coming from any field). Also in the recent years, online courses have started to become popular. If the load is not planned ahead taking into account future trends, the power of even the most high-tech infrastructure will be insufficient. Calculation of the corresponding load on the infrastructure must be made in the planning process of the disciplines, so that we can reserve appropriate facilities, and thus organize an effective learning process.
Software developers use a variety of benchmarking tools that are complex and do not provide the necessary information for the participants of educational process planning.
This article discusses the construction of a simulation model that supports the educational process planning. The simulation is carried out using the capabilities of the tool AnyLogic 7. The aim of this work is to develop a simulation model designed to estimate the load on the information system used in the educational process. In addition, besides the description of the model, the article presents the results of calculations used for various options of the information system (private cloud or on a server at the university). The simulation results were confirmed by data obtained during practical classes at the university. This model gives us the opportunity to plan the educational process in order to achieve uniformity of the load on the services. If necessary, the model allows us to make a decision about the location of the educational information system: on servers of the university or in a private cloud.
High performance querying and ad-hoc querying are commonly viewed as mutually exclusive goals in massively parallel processing databases. Furthermore, there is a contradiction between ease of extending the data model and ease of analysis. The modern 'Data Lake' approach, promises extreme ease of adding new data to a data model, however it is prone to eventually becoming a Data Swamp - unstructured, ungoverned, and out of control Data Lake where due to a lack of process, standards and governance, data is hard to find, hard to use and is consumed out of context. This paper introduces a novel technique, highly normalized Big Data using Anchor modeling, that provides a very efficient way to store information and utilize resources, thereby providing ad-hoc querying with high performance for the first time in massively parallel processing databases. This technique is almost as convenient for expanding data model as a Data Lake, while it is internally protected from transforming to Data Swamp. A case study of how this approach is used for a Data Warehouse at Avito over a three-year period, with estimates for and results of real data experiments carried out in HP Vertica, an MPP RDBMS, is also presented. This paper is an extension of theses from The 34th International Conference on Conceptual Modeling (ER 2015) (Golov and Rönnbäck 2015) , it is complemented with numerical results about key operating areas of highly normalized big data warehouse, collected over several (1-3) years of commercial operation. Also, the limitations, imposed by using a single MPP database cluster, are described, and cluster fragmentation approach is proposed.
In 2016 a survey was conducted among Russian companies to discover the most common problems associated with flexibility of business process management. A gap between strict process formalization demands and unpredictable nature of many knowledge-intensive operations was identified. The article suggests an approach to facilitate process management via combined context-aware set of methods. Firstly, the key terms are selected to serve as special cause indicators of variation in a process instance based on risk profiles. Afterward a cloud service is called, which automatically analyzes semantic annotation of the concrete process instance. Risk detection service identifies potential operational risks and in case of unexpected process execution complexities notifies users. Finally, expert search service calls for an expert in an organization automatically to create expert community. This novel approach could be used for knowledge-intensive business sectors (such as Research and Development) or in any organization interested in increasing its agility in changing business environment.
Purpose The paper identifies the factors that shape the intensity and perceived effectiveness of communications between heads of manufacturing units of multinational corporations (MNCs).
Design/methodology/approach The paper is based on a survey of heads of MNCs’ manufacturing subsidiaries in Russia.
Findings We found that the intensity of most inter-unit communication channels depends on the speed and magnitude of the changes experienced by manufacturing subsidiaries in products and production technologies. The assessment of the efficiency of a communication channel with high media richness strongly correlates to the intensity of its use.
Practical implications Subsidiary managers are quickly mastering most easy-to-use channels (i.e., e-mail exchange, talking on the phone, reading corporate magazines) by themselves, but are minimizing their participation in time-consuming activities (i.e., corporate-wide and special conferences, arranging informal meetings with foreign peers) unless they have to manage rapid changes in products and production technologies. Thus, to intensify the voluntary use of inter-unit channels with high media richness, headquarters should instill in subsidiary managers the value of cooperation between manufacturing units. Moreover, the effectiveness of inter-unit channels with high media richness should be properly demonstrated to subsidiary managers to assuage their initial reluctance.
Originality/value This paper presents communications between manufacturing units of multinational corporations not as the transfer of abstract knowledge but as routine processes of exchange of detailed information on valuable improvements of the existing practices and solutions to technical and organizational problems common in facility development and mastering new products.
This paper provides a critical analysis of the current strategic actions of Russian manufacturing subsidiaries of Western multinational corporations (MNCs). We retraced the content of strategic actions in various aspects of subsidiary management implemented during 2015–2016 and the activities of strategists of different ranks. We found that some actions implemented during 2014–2016 by MNCs in Russia represent standard strategic practices during downturns. In contrast, other strategic practices (facilities expansion against negative market dynamics and reluctance to change the system of permanent job contracts and abundant employee social benefits) generally contradict with the textbook solution for company strategies during downturns.
A problem of the designing of rational distribution network for a retail industry is observed in the article. The principle of rationality of a distribution network is described as a connection between a distribution network design and goals / requirements of a corporate strategy with a breakdown by different formats, sales regions and product categories.
The article describes the basic design of the author, aimed at improving the practice of using Lean Production (LP) Russian companies. For a basis of model implementation, application and development of LP were taken proposed conceptual model of the modern state LP, identified the condition that lead to using LP, and briefly shows the data of the testing results of the new methodology.
A method for searching for new periodic radio sources is described. The method is based on the spectral analysis of data from daily monitoring of the sky on the Large Phased Antenna (LPA) of the Pushchino Radio Astronomy Observatory at 111 MHz in a 2.5-MHz band. The 96-beam directivity pattern of the LPA is used. The signal is received in six 0.42-MHz frequency channels with a sampling rate of 0.1 s. The duration of the processed survey is four months. The particulars of detecting periodic sources with the LPA are considered. In total, 16 such radio sources have been detected, for which equatorial and Galactic coordinates, periods, and dispersion measures are given.
Based on a review of allied literatures, along with evidence from two waves of research conducted in a range of wholly owned multinational subsidiaries operating in Russia, we seek to reignite interest in corporate parenting theory. In an effort at so doing, we advance a revised and extended typology of multinational corporate parenting styles designed to capture the continuum of different approaches observable in multinational headquarter-subsidiary interactions. Invoking ancient Greek mythology, we propose a four-way classification of dominant styles. Multinational corporations pursing a Cronus parenting style emphasize exploitation and demonstrate a proclivity for continuously extracting value from their subsidiary units. In contrast, multinationals possessed of a Rhea parenting style focus on adding value to their subsidiaries. In adopting this posture, they place a strong emphasis on care and accommodation in parent-subsidiary interactions. Zeus style multinational parents encourage heroism among their offspring, something that is commonly leveraged through adding financial value to the subsidiary and extracting a range of other types of value in return. Finally, those multinational parents possessed of an Athena style place an emphasis on developing and safeguarding wisdom in their subsidiaries and display a continuous desire for a balanced exchange of value in their ongoing interactions. Arising from our revised typology of multinational corporate parenting styles and the illustrative case examples provided, we set down a number of possible lines of enquiry for future research.
The growing attention of governments, international organizations and NGOs to public procurement issues over the last two decades has been accompanied by many studies on the efficiency of public procurement. However, few researchers have considered the costs of procurement regulation for public customers and private suppliers. This problem is especially acute for the public procurement system in Russia. In this paper we propose an approach to measuring public customers’ procurement costs. We test this approach with the data on a large Russian public customer: Voronezh State University. We show that the proposed approach is universal and can be applied at a micro level by other public customers to measure the efficiency of their procurement and to optimize the costs. This approach can also be used as a basis for a larger inquiry into the costs and effectiveness of procurement at the level of regional authorities or sectoral ministries.
We investigate quasi-adiabatic dynamics of charged particles in strong current sheets (SCSs) in the solar wind, including the heliospheric current sheet (HCS), both theoretically and observationally. A self-consistent hybrid model of an SCS is developed in which ion dynamics is described at the quasi-adiabatic approximation, while the electrons are assumed to be magnetized, and their motion is described in the guiding center approximation. The model shows that the SCS profile is determined by the relative contribution of two currents: (i) the current supported by demagnetized protons that move along open quasi-adiabatic orbits, and (ii) the electron drift current. The simplest modeled SCS is found to be a multi-layered structure that consists of a thin current sheet embedded into a much thicker analog of a plasma sheet. This result is in good agreement with observations of SCSs at ∼1 au. The analysis of fine structure of different SCSs, including the HCS, shows that an SCS represents a narrow current layer (with a thickness of ∼104 km) embedded into a wider region of about 105 km, independently of the SCS origin. Therefore, multi-scale structuring is very likely an intrinsic feature of SCSs in the solar wind.
Near-annual pollen records for the last 100 years were obtained from a 65-cm peat monolith from a raised peat bog in the Central Forest State Natural Biosphere Reserve (southern part of the Valdai Hills, European Russia) and compared with the available long-term meteorological observations. An age–depth model for the peat monolith was constructed by 210Pb and 137Cs dating. Cross-correlation and the Granger causality analysis indicated a broad range of statistically significant correlations between the pollen accumulation rate (PAR) of the main forest-forming trees and shrubs (Picea, Pinus, Betula, Tilia, Quercus, Ulmus, Alnus, and Corylus) and the air temperature and precipitation during the previous 3 years. Results showed that high air temperatures during the growing season (May–September) in the year prior to the flowering led to an increase in pollen productivity of the main tree species. The statistically significant correlation between the PAR of trees and shrubs and winter precipitation of the current and previous years could reflect the influence of winter precipitation on soil water availability and as a result on tree growth and functioning in the spring.
The article discusses the phenomena of charitable giving and philanthropy, demonstrates differences between formal and informal volunteering, pro bono activities. The author indicates cultural differences and economic significance of volunteering, then describes what the predictors and effects of giving and volunteering are. Debates around costs, effectiveness, and social impact of giving and volunteering are also highlighted in the article.