CHARACTERIZATION OF GEOGRAPHICALLY RELATED ORGANIZATIONAL SYSTEMS AND APPROACH TO INTELLECTUALIZATION OF THEIR MANAGEMENT
V.V. Goriachko, E. M. Lvovich
The article introduces a description of one of the classes of complex systems – geographically related organizational systems, widespread in the social and economic spheres. The characterization of the systems under study is given through classification features according to their belonging to territorial and industry clusters, according to the method of spatiotemporal information generation for effectiveness evaluation. A variety of combinations of these features leads to the three main tasks of geographically related organizational systems management: management of resource, productive and resource-productive interaction of objects of the main and related systems.It is represented that the mechanisms of the generation of spatio-temporal information play a special role in the intellectualization of decision-making in the listed managerial tasks. Such mechanisms are monitoring and rating. The first mechanism allows obtaining estimates of indicators characterizing the functioning of the main system objects and the results of interaction with objects of related systems in a set period of time. The second mechanism is aimed at aggregating the monitored indicators into an integrated assessment, based on which the position number of the main system object in the rating list is determined. The main fields of intellectualization of management of organizational systems class under the study, which are determined by the optimization condition of potential efficiency and require the development of problem-oriented methods for analyzing GIS-oriented spatio-temporal information and algorithms of decision-making intellectual support are substantiated.
Keywords: organizational system, management, interaction, efficiency, intellectualization, spatio-temporal information.
MANAGERIAL DECISION MAKING TO IMPROVE RESOURCE EFFICIENCY OF A NON-PROFIT ORGANIZATION BASED ON EXPERT AND VERIFICATION EVALUATION
The article considers the models and procedures of intellectual support of managerial decision making based on optimization and expert assessment. The main attention is paid to the long-term planning of the resource efficiency increase of a non-profit organization. The development of these theories for specific managerial problems is proposed. Non-profit, non-governmental organizations, organizations of the third sector serve as synonyms for NGOs. The issues of development and functioning of non-profit organizations, their socio-economic potential, mechanisms to increase the efficiency of their activities, tools to ensure partnerships with the government, are studied by economists, sociologists, and management specialists in social and economic systems. The so-called theories of the third sector that currently exist are aimed at analyzing NGOs as a management system, and economic mechanisms that affect the functioning of social movements and organizations with the use of regression and neural network models based on monitoring and rating information. The allocation of additional costs for the implementation of measures to improve resource efficiency is proposed to be carried out using a multi-step process of optimal decision making. As a result, we have many alternative solutions. To select a rational option, an expert assessment procedure has been developed with the involvement of a group of experts and the building of an inverse rank sequence and matrix of individual weighting coefficients. The final managerial decision choice is made by the logical conditions sequentially checking and obtaining a group compromise assessment.
Keywords: resource efficiency, multivariance, management, multi-step optimization, group expert assessment, ranking.
MATHEMATICAL MODEL OF OPTIMIZATION OF THE NETWORK INFRASTRUCTURE OF A DISTRIBUTED ENTERPRISE SYSTEM ON A CLOUD, MISTY AND EDGE TECHNOLOGIES
S.N. Sukhov, O.A. Korelov
Management decision-making in the field of law enforcement requires a systematic analysis of both the state of the control object and the capabilities of the subject. To solve a number of management problems, the effective use of mathematical modeling methods that allow you to build, and subsequently explore the information model of socio-economic processes. In the study of the constructed model, identifying patterns in the data, possible subsequent forecasting, which is an important element in decision-making in the law enforcement sector, allows to determine the most optimal mechanisms of management influence. In determining the possible negative options for the development of events, the development of intervention scenarios in order to obtain a positive result. Building a model of information processes allows us to conduct an experiment to study the phenomenon of interest to us in conditions where the natural experiment is impossible, difficult or undesirable. In addition to the complexity of the model, an independent problem is the interpretation of the result, the understanding of the practical meaning of the solutions. It should be understood that the use of mathematical modeling for the development of management solutions in the field of law enforcement is just one of the tools with limited capabilities, which should be used only in conjunction with the results of research in other areas.
Keywords: information processes, model research, law enforcement, management.
MULTI-METHOD APPROACH TO THE MODELING OF COMPLEX SYSTEMS BASED ON MONITORING DATA ANALYSIS
Y.E. Lvovich, A.V. Pitolin, G.P. Sapozhnikov
The article justifies the necessity of building various classes of mathematical models of complex systems as well as the relevance of a multi-method approach to the processing and modeling of monitoring and rating information, due to the variety of management tasks and resource efficiency optimization management of a non-profit educational organization in combination with rating management. The starting points are tentatively reduced sets of input indicators influencing the output indicators of a management unit functioning. It is based on time series forecasting on the base of additive and elementary functions. The dependence of the output performance on the input ones is determined by the regression model with the inclusion of time variables. The transition from a regression model to a neural network model is carried out, to improve the accuracy of forecasting for the purpose of managerial decision making at a certain planning horizon. The transformation procedure of initial time series into statistical samples of their prognostic estimates followed by randomized training sample development is proposed. The paper also demonstrates that the multi-method approach to the modelling provides a solution to a number of tasks concerning complex systems resource efficiency management.
Keywords: forecasting, modeling, management, resource efficiency, randomization
ANALYSIS OF APPROACHES USED FOR PROJECT MANAGEMENT IN ORGANIZATIONS
A.V. Shapovalov, A.P. Preobrazhenskiy, O.N. Choporov
The paper discusses the features of solving problems related to the processes of project management in organizations. The characteristics of companies using the project approach are given. The formulation of the problem associated with the choice of projects from a variety of alternatives is given. It is demonstrated how the characteristics of the projects are evaluated. The strategy of the organization affects the maximum number of project options possible with the formed portfolio of projects. The methodology and approaches used in the process of evaluating the effectiveness of projects: the method of multi-criteria evaluation, linear programming model 0-1 Integer, integer programming model. In order to effectively manage project portfolios, it is proposed to select a set of parameters from the point of view of which there should be an assessment of projects and their portfolios in the process of deciding on the inclusion of projects in portfolios or in the selection of portfolios. Project optimization models in companies are based on the methodology of operations research. Through a combination of optimization methods and decision-making methods, you can select the desired set of projects that lead to maximum benefit. Restrictions in the formed multicriteria problem can be different, for example technological, resource.
Keywords: :project, management, project portfolio, optimization methods.
MANAGEMENT OF FUNDS ALLOCATION OF AN EDUCATIONAL
The article presents the expert optimization approach to improving the efficiency of funds allocation management in an educational organization, which is a combination of intelligent technologies, analytical and numerical methods. It is suggested that managerial decisions should be focused on the objectives of funds allocation and development strategy of the educational organization. Achievement of these goals is provided by the use of expert-optimization approach in the tasks of funds allocation between the budgeting objects. The functional funds allocation among school business processes is carried out with the use of an expert knowledge model of transforming the results of a SWOT analysis of building membership functions of vague relationships. The budget allocation of income and expenses between the centers of financial reporting is implemented on the basis of expert assessment with the use of linguistic variables and a formalized model of multi-alternative optimization. For the allocation of the investment budget among the educational organization development projects, a preliminary expert analysis of management accounting mechanisms with a transition to the multi-alternative optimization task is used.
Keywords: :management, funds allocation, expert-optimization approach, linguistic variables, management accounting, multi-alternative optimization.
MODELING OF COUNTERACTION TO DESTRUCTIVE INFLUENCE IN SOCIAL NETWORKS
V. A. Minaev, M. P. Sychev, L.S. Kulikov, E.V. Vaitz
In the last decade, the activity of both foreign centers and various groups of influences within the country on the organization of destructive impacts on Russian society and its social groups, especially youth, in order to destabilize the domestic political, socio-economic and criminal situation has significantly increased in social networks. That is why in the Doctrine of information security of the Russian Federation information and psychological effects (IPE) are called important negative factors affecting the state of information security (IS). In this regard, the creation of models to counter destructive information impacts (DII) of manipulative nature in social networks, assessment and forecasting of their impact on social groups are at the present stage actual management tasks. The system-dynamic model of information counteraction of DII in social networks is considered. Its application for the purposes of counteraction to information terrorism, extremism and other destructive influences on modern society by means of information networks is proved. The description of the model in the form of flowcharts in the designations of system dynamics is given. Systems of differential equations are shown. Simulation experiments with models using the promising Anylogic platform were carried out. The model make it possible to forecast DII taking into account the factor of counteraction in social networks, to play different scenarios of the dynamics of these interrelated processes.
Keywords: : simulation modeling, destructive information impact, counteraction, management, social network.
MODELING MANIPULATIVE INFLUENCES IN SOCIAL NETWORKS
V. A. Minaev, M. P. Sychev, L.S. Kulikov, E.V. Vaitz
In the Doctrine of information security of the Russian Federation the main negative factors affecting the state of information security (IS), called informational and technical influences (ITI) and information and psychological influences (IPI). Therefore, modeling, evaluation and forecasting of information influences (II) on social groups and organizing of the corresponding information counteraction (ICA) are urgent tasks of management. The system-dynamic models of information influences in social networks and groups are considered. Their application for purposes of counteraction to information terrorism and extremism is proved. The description in the form of flowcharts is given. Systems of differential equations are presented. Experiments with models using the advanced simulation platform Anylogic were carried out. In a sample of Russian settlements based on cluster analysis found homogeneous typological groups that differ in the average time of transmission of information in social networks. Based on Gibbs ‘ postulate, the system-dynamic model of information influences among students has been successfully tested. The high consistency of simulation results with empirical data (determination coefficients of at least 90%) is shown. Models allow you to forecast the II and ICA and to play different scenarios of the dynamics of these processes.
Keywords: : simulation modeling, information influences, management, social network, topology, typology, cluster analysis.
A SOFTWARE APPLICATION FOR THE ANALYSIS OF PHASE TRAJECTORY OF DYNAMIC SYSTEM WITH USING OF QUALITATIVE THEORY OF DYNAMICAL SYSTEMS(ON EXAMPLE OF THE ORGANIZATION IN THE MANAGEMENT OF HOUSING AND COMMUNAL SERVICES)
UDC 519.688: 332.87
А.А. Popov, А.О. Kuzmina
The purpose of the article is the enhancement of the instruments for automation of the qualitative research of the dynamic system and forecasting values of the parameters, which characterize organization activities in the economy (particularly in the field of management of housing and communal services). In this article, the problem of automation of the analysis of the phase trajectory of the dynamic system is solved (organization of management of housing and communal services), using the qualitative theory of dynamic systems. The research is relevant due to the insufficient level of automation of qualitative research of dynamic systems in the economy with the economic interpretation of research results. Methods of qualitative theory of dynamic systems, which are used, allow forecasting the state of the dynamic system without numerical simulation (for example, integrating differential system, which is a model of the dynamic system). In the article is presented technique, in accordance with research of the phase trajectory of the dynamic system using the software application, was conducted. Types of phase points in the phase plane in accordance with character of behavior of the phase trajectory plane in the neighborhood of the projection of the phase point were identified. By the example of the phase trajectory analysis, which characterizes activity of organization of management of housing and communal services, opportunities of the software application, building of projection of the phase trajectory into the three planes occurs. It was identified that in the phase planes equilibrium states as «stable node» and «stable focus» are missing, but there are equilibrium states such as «unstable node», «unstable focus» and «saddle». The example of detection of the «field of attraction» of the phase trajectory in phase plane is given. Types of «fields of attraction» were identified and economic interpretation for the «fields of attraction» was given. The main directions for the enhancement of the developed software application functionality are formulated. The materials of the article present the practical value for the experts, who are forecasting state of the organization in economy, and particularly in the housing and communal services.
Keywords: : organization, management, housing and utilities, software application, automation, forecasting, qualitative research, dynamic system, phase trajectory, phase point.
HUMAN VALUES IN THE DIGITAL AGE
A. M. Factor, S. G. Kamolov, A. A. Nikandrova
Human values and systems of such values play an important role in human life and society. The individual value system is always linked to the values inherent in society. The article discusses the concepts of values from the point of view of different researchers. It is shown that economic development, cultural and political shifts are interrelated and go hand in hand with the transformation of human perception, human norms and values. In modern postindustrial societies, traditional values are contrasted with secular-rational values. People with such values pay less attention to religion and traditional family values. The digital age in which we live is different from other historical periods. It is shown that the mass digitization of our lives makes people adapt to the new reality. As part of the research, the authors conducted an interactive survey on modern values in the digital age. At the beginning of the survey, it was proposed to select five values that correspond to the most important. Further, respondents were asked to answer the question whether it is important for colleagues to have similar values. The respondents were then asked to choose between the political and economic condition of the country as the most significant factor influencing human values. At the end of the survey, respondents were asked to select five values that they could call typical of the digital era. An interesting finding is that while those in charge consider the family to be one of the most important values, they do not believe that this value will be equally important in the digital age. Thus, an assessment was made of whether classical values will remain unchanged or become inaccessible to people in the digital age.
Keywords: information society, digital epoch, human values, management, digitalization of values, innovations.