scholarly journals Sustainable development of the transport industry based on artificial intelligence systems

2021 ◽  
Vol 2021 (4) ◽  
pp. 125-138
Author(s):  
Liana M. CHECHENOVA ◽  
Keyword(s):  
Artificial Intelligence ◽  
Business Processes ◽  
Practical Importance ◽  
Federal State ◽  
Railway Transport ◽  
Transport Organization ◽  
Transport Industry ◽  
Analysis And Synthesis ◽  
Fundamental Research ◽  
Predictive Assessment

Objective: Modification of trends in the development of railway transport with the introduction of artificial intelligence technologies that are optimal for predictive assessment of the activities of a transport organization. Methods: The key logical methods of cognition – analysis and synthesis – are used. Results: The scientific background related to the digitalization of the transport industry has been studied with the help of fundamental research, data from the Federal State Statistics Service, and the SPARK information resource. The necessity of introducing intelligent technologies to optimize transportation time and reduce costs has been determined. The main directions of application of intelligent technologies in railway transport are systematized, taking into account the strategic target direction of the industry. Practical importance: The main findings can be used in forecasting business processes using various digital technologies and tools

Material and technical support of railway transport

2021 ◽  
Author(s):  
Aleksandr Cevelev
Keyword(s):  
Business Processes ◽  
Technical Support ◽  
Federal State ◽  
System Management ◽  
Corporate Management ◽  
Railway Transport ◽  
Current Period ◽  
State Educational ◽  
Material Information

The textbook covers topical issues of the implementation of the policy of JSC "Russian Railways" in the field of material and technical support of structural divisions of railway transport. Based on the results of theoretical studies of the system management of business processes of material and technical support of railway transport, the diversification of the activities of supply authorities, the concept was formulated and a tree of management goals was developed, as well as the formalization of the existing business processes of the MTO system for the current period was carried out and the supply efficiency management system was considered in accordance with the SRT of JSC Russian Railways. Recommendations on the implementation of the developed algorithms and models are of a long-term nature and will improve the efficiency of the system of providing services for providing material and technical resources to structural divisions and enterprises of railway transport. Meets the federal state educational standards of the latest generation in the areas of training: 38.03.01 "Economics", 38.03.02 " Management "(profiles: "Corporate Management", "Logistics and Supply Chain Management"). It is intended for students of railway transport universities of economic and engineering specialties, as well as for managers and specialists of material and technical support of JSC "Russian Railways" who are interested in the issues of material, information and financial support of railway transport.

scholarly journals Standardization and unification of algorithms of organizational and technical solutions in the process of performance of licensable activities

2018 ◽  
Vol 239 ◽  
pp. 04024
Author(s):  
Vladimir Burovtsev ◽  
Anatoliy Davydov ◽  
Alexey Dementev
Keyword(s):  
Synergistic Effects ◽  
State Regulation ◽  
Railway Transport ◽  
Strategic Objectives ◽  
Transport Services ◽  
Full Development ◽  
Transport Industry ◽  
Analysis And Synthesis ◽  
State Governance ◽  
Technical Solutions

An indispensable prerequisite for achieving the strategic objectives of the development of Russian railway complex is to strictly ensure the security of the licensable activities. At the same time, one of the main reserves for improving the economic efficiency of the transport industry will be the organization of a full competitive environment in the transport services market, creating opportunities for the implementation of the entrepreneurial initiative, and reducing the level of administrative barriers in this sphere. In this regard, the goal of scientific research is of a great urgency. This goal is to develop a set of coordinated measures of state regulation that can create conditions for the full development of the transport services market in conditions of regulating business activity in the process of carrying out licensable types of activities. The achievement of this goal is possible by the methods of institutional analysis of the administrative regulations for the provision of a state service for licensing of the activities, as well as by forming complex programs for the interaction of regulators on the basis of emerging synergistic effects. The presented paper reflects the main results of analysis and synthesis of organizational and technical solutions for the performance of licensable activities in railway transport. The results of the research are intended to contribute the improvement of the efficiency of modern state governance mechanisms in solving key problems in the development of the railway transport industry.

About digital transformation of the transport industry in Russia

2020 ◽  
Vol 19 (3) ◽  
pp. 95-105
Author(s):  
Natalia V. Vysotskaya ◽  
T. V. Kyrbatskaya
Keyword(s):  
Artificial Intelligence ◽  
Business Model ◽  
Data Science ◽  
Digital Transformation ◽  
Digital Culture ◽  
Blockchain Technology ◽  
Community Approach ◽  
Non Linear ◽  
Transport Industry ◽  
Artificial Intelligence Systems

The article is devoted to the consideration of the main directions of digital transformation of the transport industry in Russia. It is proposed in the process of digital transformation to integrate the community approach into the company's business model using blockchain technology and methods and results of data science; complement the new digital culture with a digital team and new communities that help management solve business problems; focus the attention of the company's management on its employees and develop those competencies in them that robots and artificial intelligence systems cannot implement: develop algorithmic, computable and non-linear thinking in all employees of the company.

Artificial intelligence and the management transformation

2020 ◽  
Vol 16 (4) ◽  
pp. 600-612
Author(s):  
L.F. Nikulin ◽  
V.V. Velikorossov ◽  
S.A. Filin ◽  
A.B. Lanchakov
Keyword(s):  
Artificial Intelligence ◽  
Social Life ◽  
Soft Power ◽  
Process Integration ◽  
Management Practice ◽  
Scientific School ◽  
Strategic Culture ◽  
Analysis And Synthesis ◽  
And Training

Subject. The article discusses how management transforms as artificial intelligence gets more important in governance, production and social life. Objectives. We identify and substantiate trends in management transformation as artificial intelligence evolves and gets more important in governance, production and social life. The article also provides our suggestions for management and training of managers dealing with artificial intelligence. Methods. The study employs methods of logic research, analysis and synthesis through the systems and creative approach, methodology of technological waves. Results. We analyzed the scope of management as is and found that threats and global challenges escalate due to the advent of artificial intelligence. We provide the rationale for recognizing the strategic culture as the self-organizing system of business process integration. We suggest and substantiate the concept of soft power with reference to strategic culture, which should be raised, inter alia, through the scientific school of conflict studies. We give our recommendations on how management and training of managers should be improved in dealing with artificial intelligence as it evolves. The novelty hereof is that we trace trends in management transformation as the role of artificial intelligence evolves and growth in governance, production and social life. Conclusions and Relevance. Generic solutions are not very effective for the Russian management practice during the transition to the sixth and seventh waves of innovation. Any programming product represents artificial intelligence, which simulates a personality very well, though unable to substitute a manager in motivating, governing and interacting with people.

The investment activity of Russian business: Relationships with corporate income tax burden

2020 ◽  
Vol 23 (7) ◽  
pp. 800-823
Author(s):  
A.A. Razuvaeva ◽  
N.V. Pokrovskaya
Keyword(s):  
Income Tax ◽  
Systems Approach ◽  
Corporate Income Tax ◽  
Federal State ◽  
Tax Burden ◽  
Return On Assets ◽  
Investment Activity ◽  
Analysis And Synthesis ◽  
Tax Benefits

Subject. This article assesses the role of tax incentives for the Russian business' investment behavior. Objectives. The article aims to identify the relationship between the corporate income tax burden as an indicator responding to tax benefits application and the investment activities of Russian companies. Methods. For the study, we used the methods of analysis and synthesis, and the systems approach. The analysis covers the period from 2012 to 2018. The data of the Russian Federal State Statistics Service, Federal Tax Service of Russia, and the Ministry of Finance of the Russian Federation are the source of information for analysis. Results. The article summarizes the characteristics of the investment activity of the Russian business. However, the article does not reveal any obvious relationship between the income tax burden and the investment activity of the Russian business in the 2010s. There is also no link found between fixed investment and return on assets. Conclusions. The increase in income tax burden in the late 2010s, accompanied by a decrease in profitability, poses a threat to the active investment development of Russian organizations.

Overcoming Disorthography of Primary Schoolchildren with General Speech Underdevelopment

2020 ◽  
Vol 81 (3) ◽  
pp. 46-51
Author(s):  
I. V. Prishchepova
Keyword(s):  
Speech Therapy ◽  
Personality Development ◽  
Practical Importance ◽  
Visual Observation ◽  
Russian Language ◽  
Learning Activity ◽  
Image Study ◽  
Primary Schoolchildren ◽  
Oral Speech ◽  
Analysis And Synthesis

The article discusses mechanisms of various kinds of disorthography (conditioned by the underdevelopment of morphological, phonemic and graphical bases of orthographic activity) in schoolchildren with general speech underdevelopment. It offers basic methodology and techniques to correct disorthography conditioned by inadequate child acquisition of phonemic, traditional principles of orthography and principles of graphics. A systematic work on the development of psychological and language components of this type of learning activity coupled with oral speech disorder overcoming facilitates successful acquisition of program requirements by such children. The following methods were used: practical (exercises, modelling, construction, schematization, games), visual (observation, image study, image and practical activity results demonstration, stimulus material demonstration), verbal methods (conversation, narration, method of language analysis and synthesis, grammar and orthographic tasks solution). The article covers the results of many years of positive experience in the correction of various types of disorthography of primary schoolchildren with general speech underdevelopment. Formation of grammatical and orthographic activity, the basics of speech and language competences, Russian language academic performance increase are prerequisites of linguistic personality development and child self-development. The practical importance of the research lies in the development and testing of methods of disorthography correction of children with general speech underdevelopment. The given methodology helps to improve their spelling skills and allows to carry out a purposeful and controlled formation of spelling activity. The results can be used in the work of speech therapy centers and educational establishments which carry out inclusive students’ education.

METHODICAL BASES OF AN ESTIMATION OF AGRICULTURAL LAND USING EFFICIENCY

2019 ◽  
Vol 4 (3) ◽  
pp. 237-244
Author(s):  
Mikhailo KOBCHENKO
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Practical Importance ◽  
Economic Damage ◽  
Dialectical Approach ◽  
Methodical Approach ◽  
Analysis And Synthesis ◽  
Scientific Principles ◽  
Definition Of ◽  
Land Using

Introduction. The purpose of this article is to define methodological grounds of assessment of agricultural land using efficiency. The article is devoted to definition of the indicators system of land using efficiency. Methods of research. The solution of the tasks in the article is carried out with the help of such scientific and special research methods as: analysis and synthesis, systematization and generalization, the dialectical approach. Results. The structural balance between cost of land and production resources has been investigated, which leads to the need of many alternatives for the purpose and use of the respective territories on the basis of the modern system of land using efficiency assessment when determining the benefits of land resources using for agricultural production. Originality. It has been proved that to create and enforce a uniform indicators system of land using efficiency is necessary to determine all the factors that affect land use, to reflect the degree and type of each factor influence using the indicators of efficiency of the land use. Indicators of economic efficiency of land using and the intensity of land use are systemized. Practical importance. The methodical approach of agricultural lands using evaluation in the following areas has been justifed in the article: completeness of land use, rational land use, the level of land use intensity, efficient land use. The methodical approach has been presented to the calculation of potential losses from specific land uses in specific circumstances. It is proposed to assess the land using efficiency on the basis of indicators calculations of environmental and economic damage. Basic scientific principles can be used in the practice of agricultural enterprises. Keywords: management, methodological bases, evaluation, efficiency, and agricultural land use.

Trends in the Development of Electronic Document Management: Prospects, Problems, Opportunities

2021 ◽  
Vol 27 (12) ◽  
pp. 963-970
Author(s):  
S. A. Zhutyaeva ◽  
T. A. Lysova
Keyword(s):  
Artificial Intelligence ◽  
Legal Status ◽  
Business Processes ◽  
Document Management ◽  
Electronic Document ◽  
Work Processes ◽  
Blockchain Technology ◽  
Electronic Document Management ◽  
Corporate System ◽  
The Impact

Aim. The presented study aims to determine the role and place of electronic document management in the corporate system of Russian enterprises, outlining the prospects for its development.Tasks. The authors examine the legislative acts of the Russian Federation on the prospects for the implementation of electronic document management; assess the impact of the pandemic on the digitalization of document management; analyze the business costs of paper document management; identify the advantages of using electronic document management and promising technologies in document processing.Methods. This study uses theoretical and empirical research methods. The dialectic method is used to determine the role, significance, and legal status of electronic document management. Through a logical approach, the essence of such concepts as 'electronic document' and 'electronic document management' is identified.Results. The study presents directions for the development of electronic document management using blockchain technology, which will improve workflows by processing, sorting, exchanging data and documents protected from unauthorized access, and artificial intelligence, which can help organizations process documents faster by simplifying operational procedures. Obstacles that prevent companies from actively using electronic document management are identified. These include additional investment, time costs, and reorganization of management. The volume of innovative services is analyzed by the type of economic activity, and the costs of creating, storing, and processing paper documents are considered.Conclusions. Recent trends in legislation indicate the government's firm commitment to the speedy introduction of electronic document management in Russia. Its use frees up a lot of resources, including time, labor, and finances. The 2020 pandemic has emphasized the importance of digitalizing business processes to ensure their continuity in unforeseen situations. Integrated into the automation of work processes, blockchain technology will ensure the protection of information from unauthorized tampering. Artificial intelligence will open up new opportunities for processing electronic documents.

scholarly journals AI for augmenting human judgement in Business Processes Management

2021 ◽  
Vol 201 (3) ◽  
pp. 507-518
Author(s):  
Łukasz Osuszek ◽  
Stanisław Stanek
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Decision Support ◽  
Business Processes ◽  
Workflow Management ◽  
Organizational Memory ◽  
Machine Learning Algorithms ◽  
Analytical Models ◽  
Case Based Reasoning ◽  
Historical Case

The paper outlines the recent trends in the evolution of Business Process Management (BPM) – especially the application of AI for decision support. AI has great potential to augment human judgement. Indeed, Machine Learning might be considered as a supplementary and complimentary solution to enhance and support human productivity throughout all aspects of personal and professional life. The idea of merging technologies for organizational learning and workflow management was first put forward by Wargitsch. Herein, completed business cases stored in an organizational memory are used to configure new workflows, while the selection of an appropriate historical case is supported by a case-based reasoning component. This informational environment has been recognized in the world as being effective and has become quite common because of the significant increase in the use of artificial intelligence tools. This article discusses also how automated planning techniques (one of the oldest areas in AI) can be used to enable a new level of automation and processing support. The authors of the article decided to analyse this topic and discuss the scientific state of the art and the application of AI in BPM systems for decision-making support. It should be noted that readily available software exists for the needs of the development of such systems in the field of artificial intelligence. The paper also includes a unique case study with production system of Decision Support, using controlled machine learning algorithms to predictive analytical models.

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