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Using Major League Soccer as a unique dataset, this study examines the direct andindirect role of coaches’ experience in determining team performance. Inspired by labormarket studies, we applied traditional indicators of team salary structure and, unlikeprevious studies, empirically test the hypothesis that coach experience affects the way inwhich team salary distribution inuences performance. Our results suggest that coacheswith experience as professional soccer players improve team performance directly butworsen the negative effect of a skewed s alary distribution. Moreover, experience as aplayer is more important than coaching experience. (JEL D3, J3, M5)
The present investigation considers phenomenon of tourism cluster as a theoretical model of region tourism complex administration. Basing on authors’ approach to theoretical analysis, deep investigation of the concept “tourism cluster” was realized. Following the results of the analysis mentioned, we described a number of theoretical approaches to the category of tourism cluster. All the approaches mentioned were presented in two different ways: static and dynamic ones. The dynamic model provided a general view on historical development of the category “tourism cluster” in the scope of economic theory.
Basing on complex analysis results, we created our own “system and agglomeration” approach to the concept of “tourism cluster”. The approach mentioned was structured as follows: authors’ interpretation of the category “tourism cluster”, feature-based table, tourism cluster graphical model, authors’ methodology of tourism cluster identification and complex analysis of this type system.
New methodology was tested on the case of Perm krai.
The set of theoretical and practical innovations suggested in the present research is considered as universal one and it could be used in the practice of other regions administration. The present monograph could be recommended to the specialists working in the sphere of public administration ( specially to those of them who is responsible for tourism policy); to students of university programs related with tourism , economics, public administration and to all of those who are interested in the sphere of special development and tourism development in the Russian Federation.
The article deals with the problem of creating a temperature regulator,
which does not require preliminary tuning for a specific production plant.
Authors proposed to use a matrix approach of fuzzy logic for this purpose. It
allows engineers to apply the linguistic rules formulated in the most general
form for industrial processes control. It also allows building simple control
algorithms for complex nonlinear systems. To verify the correctness of the
algorithm, authors assembled installation with heaters of various types, powers
and inertia. The full-scale experiment shown that the developed prototype of the
device allows controlling the temperature in various settings without initial
Architecture of the compressor equipment monitoring and control cyber-physical system (CPS) based on the InfluxData IoT platform is proposed. CPS consists of three subsystems: a subsystem of a physical object, a digital twin and an interface. As a technical implementation of the IoT controller, a measuring and control module based on a data acquisition, data transfer and control device - VIDA350, connected to the Telegraf data collection agent of the platform using the MQTT protocol, is proposed. The basic methods of processing raw data from energy meters and sensors of technological parameters, implemented in blocks of on-line and off-line calculations are given. The organization of the digital twin of the compressor using the database of time series InfluxDB and the relational database MSSQL, storing information about changes in the technological parameters of equipment over time, energy efficiency indicators, statistics on accidents and operating time, equipment models, etc., is proposed. Grafana system and FreeCAD is used for visualization of equipment in 3D. The use of CPS can increase the efficiency of operation of compressors due to the timely detection of air leaks, minimizing idling, minimizing peak consumption, optimizing process parameters and settings both of the compressors and consumers.
Standards and specifications are widely used in industry to define product and business process requirements, ensure interoperability, safety, and quality, so there is an acute question of how best to apply them in the process of their own production. One of the problems at the moment is the inability to effectively use the existing standards base due to its weak structure. As a solution to this problem, NIST presented the NOVIS system, which provides an interactive visual interface with terminology from standards related to sustainable production. However, this solution has a number of limitations, which are described later in the text, therefore it is necessary to develop our own system of semantic search in industry standards. The aim of this work is system design for intelligent search in industry standards based on ontological description and semantic annotation. It is necessary to consider the existing solution, to determine the requirements for the system, to develop an algorithm for its operation, to compare the tools for management and visualization of ontology to achieve this goal. The practical significance is to define the conceptual framework and build a graphical representation of the system for the further development of an intelligent search system that will allow companies effectively manage, properly understand and comply with industry standards.
We analyse the determinants of football fans’ happiness in the Russian Premier League using facial emotion recognition. We propose a new way of measuring subjective well-being and provide its empirical validation using sports data. Our sample consists of about 10,000 photos from football matches uploaded on the most popular social network in Russia during the seasons 2014/15–2017/18. The dataset of photos is analysed with the Emotion Recognition software, which takes a facial expression in an image as an input and returns the confidence across a set of emotions for each face in the image. Next we use multinomial logistic regression to identify the determinants of happiness. The results show that uncertainty and expectations are important drivers of football fans’ happiness. A win decreases the probability of being unhappy, and the effect becomes stronger for late rounds of a national championship. The change in happiness because of a home team win is stronger for males.
The Russian government has programs to assist Russian companies with financial and organizational support. Award of procurement contracts may also serve as assistance to companies. This paper uses data from a survey of Russian companies to draw inferences about the motivation behind the choice of recipients. Possible motivations are an intent to foster economic development, successful rent-seeking by recipients or simply corruption. The evidence is mixed. There is support for both the economic development motive and rent-seeking in the analysis of financial and organizational support. A role for corruption is most evident in the procurement contract results.
Growing importance of human resources places the role of managers at the core of
company efficiency. However, there are studies that demonstrate the efficiency of teams
without a manager, so-called self-managed teams, is higher comparing with managed
teams. Thus, despite the focus on managerial efficiency in the economic literature, the
issue of whether a team needs amanager is far from settled. In this paper, we use a quasiexperimental
setting from e-Sports (competitive video gaming) to understand whether
the hiring a manager is of benefit to team performance. The empirical part of the study
is based on endogenous switching regression model. This method allows investigating
what performance of self-managed team would be if it will have a manager and vice
versa. The dataset includes the information of prize money and features of top e-Sports
teams in Counter-Strike: Global Offensive (e-Sports discipline) from 2013 to 2017. The
main finding of this study is that managed teams perform better than self-managed ones
but this is not due to the manager.
This article proposes a method of constructing dynamic neural network
mathematical models that allow not only to diagnose the disease at the
current time, but also to simulate the appearance and development of diseases in
future periods of time, as well as to control their appearance and development by
selecting the optimal lifestyle and optimal intake of drugs. It is assumed that the
use of dynamic neural network medical systems, instead of static, allow doctors,
before prescribing courses of treatment to patients, to test the effect of drugs not
on patients, but on their virtual mathematical models. The action of the system is
demonstrated by examples.
National economic development is subject to a number of restrictions. One of the main constraints is the threat of complete exhaustion of non-renewable resources and environmental pollution exceeding the capacity of the planet. However, the rapid spread of resource-saving technologies is reducing the environmental intensity of economic activities. In this study, I aim to examine the ecological-economic dynamics of the environmental effects of economic development in the regions of Russia’s North-Western Federal District (NWFD). I employ an extended version of Peter A. Victor’s model to produce a comprehensive evaluation of changes in economic indicators
and correlate them with the total and specific environmental impact. I conduct a factor analysis to identify the main effects influencing the ecological-economic dynamics. The use of water resources in the NWFD demonstrates green growth, whereas electricity consumption and wastewater treatment fall into the brown zone and industrial and municipal waste treatment into the black one. The factor analysis has shown that population change has a very weak effect on the situation. Much more influential factors are the income effect (higher incomes translate into greater consumption and thus more significant pollution levels) and the technology effect produced by a decrease in the environmental intensity of production. To promote green development, it is advisable to increase the influence of the
technology effect by stimulating resource efficiency and switching to the circular economy model.
The purpose of this paper is to investigate the role of perceived food quality and consumer ethnocentrism and potential trade-offs between these two concepts in Russian consumers’ food purchase decisions after the implementation of the Russian import ban.The results suggest that most respondents do not consider domestically produced cheese as a risky product in terms of food safety but simply of lower quality than imported cheese. However, the average respondent’s WTP discount for domestic cheese compared to imported cheese is 8 percent, which is relatively small. This corresponds to participants’ opinion that buying domestic cheese is the right thing to do since it supports Russian farmers and producers. The results indicate further that with increasing education and income levels, individuals are less likely to prefer domestically produced cheese for either economic or quality reasons. This effect is stronger for the quality preference.
We investigate alcohol consumption as one of the main factors contributing to variation in the gender gap in life expectancy in the Russian regions. We consider the socioeconomic indicators and mortality coefficients that enable us to capture the causes of death related primarily to alcohol abuse and smoking. We assume that macroeconomic situation, coupled with alcohol consumption are substantial determinants of the gender gap in life expectancy in the Russian regions. A panel data analysis confirms that alcohol consumption has a significant influence on the gender gap in life expectancy and reduces the life expectancy of men first and foremost, as they are more inclined toward unhealthy behaviours. We have determined that employment and income support policies should be conducted in conjunction with the anti-alcohol policy. Social policy aimed at reducing alcohol consumption should be vigorously reinforced during an economic recovery.
Imposter syndrome is feeling incompetent despite evidence of competence. It is characterized by the inability to internalize one's status and success, which causes much emotional distress. People with imposter syndrome fear that others will eventually find out that they are frauds and thus feel that they do not belong in their academic or working environment despite objective qualifications, achievements, and accomplishments. Perfectionism has been linked to imposter syndrome due to a tendency to focus on one's inadequacies. In this study, participants were 169 Russian college students. Mediating and moderating effects of imposter syndrome on the link between perfectionism and psychological distress were examined. Results indicated that imposter syndrome fully mediated the link between perfectionism and anxiety, whereas it served as a partial mediator between perfectionism and depression. A significant moderation effect of imposter syndrome was found between the link of perfectionism and depressive mood. In sum, it appears that if a person does not fall into the imposter mindset, the positive link between perfectionistic discrepancy and depression no longer exists. Results of this study identify imposter syndrome as a point of intervention to prevent depression caused by perfectionism.
The Internet of Things (IoT) provides opportunities to control interconnected smart devices via pre-designed scenarios with littleor no human involvement. Due to the need for systematic improvement of industrial energy efficiency, the relevance of IoT-based energy management systems (EMS) is constantly increasing. Industrial IoT (IIoT)-enhanced EMS are created to support the digital transformation of enterprises. They increase the transparency of energy consumption statistics, enhance the personnel awareness of energy losses, provide predictive analytics tools for forecasting potential industrial accidents and future energy demand. This paper hence provides a system architecture of the energy management assistant that can be used at enterprises to archive the aforementioned aims. Authors identify the relevance of EMS, list the conditions at modern enterprises that define the requirements for the energy management assistant, demonstrate the identified requirements in the UML diagrams. Specification of energy planning and energy monitoring stages demonstrate the possibilities of the designed system architecture. For demonstration purposes, authors present examples of linear and nonlinear regression models implemented to specify energy consumption target functions based on real data. Finally, future research directions and open energy management problems are presented. The analysis has been carried out within the priority area of scientific development established in the National Research University Higher School of Economics - "Research on control methods in Cyber-Physical Systems".