scholarly journals Optimization of the Process of Selection of Software in the Organization

2020 ◽  
pp. 12-22
Author(s):  
A. Yu. Lukyanenko

The scientific article explores the role of software as a tool used by organizations to carry out economic activities in a digital economy without which it is impossible to have adequate competitiveness in a digital economy. The concept of “digital economy” has been clarified. A methodology has been developed to evaluate the effectiveness of the software used or selected on the basis of its qualitative and quantitative characteristics and the requirements of the workplace for the software functionality. Based on the theoretical and methodological base and the developed methodology, a scalable model of an effective management decision-making process for selecting and updating software in an organization is built, a comparison with existing practice is carried out. The significance of the research results is due to the lack of widely available methods in open access for the optimal selection of software as a tool, not related to involving external agents in the process and having the necessary scalability to use them, including collective, in organizations. This creates negative effects for organizations and the economy of the Republic of Belarus as a whole.

2021 ◽  
Vol 16 (3) ◽  
pp. 51-67
Author(s):  
E. Beisembai ◽  
A. A. Titkov ◽  
S. I. Zhumagalievna

The purpose of this scientific article is to identify modern trends in the formation of the economic and organizational foundations for the development of the digital economy of the Republic of Kazakhstan, to identify the main problems in these areas and ways to solve them. The main initial data for writing a scientific article were official statistical information in the field of development of communications and information and telecommunication technologies, scientific periodicals, including the near and far abroad, practical data of entrepreneurial structures directly leading production and economic activities in the digital and computer technology. The hypothesis of scientific research is the need to form the institutional foundations for building a digital economy, focused on the implementation of infrastructural development of digitalization processes at the macro and micro levels. The institutional framework affects both the public sector and the business entrepreneurship sector. In the strategic period for the development of the digital economy, indicative programs for business structures, as well as organizational scenarios for the state, should be developed. The main methods of scientific research were analytical and synthetic, statistical, computational, and analytical research methods, the method of hypotheses. As the results of the study, attention was focused on the dynamics of the contribution of digitalization processes to the economic growth of the Republic of Kazakhstan, and the main economic problems that hinder the intensification of the development of the digital economy were identified. The main scientific contribution of the study is focused on the priorities for solving the problems of digitalization of the economy within the strategic and long-term periods, including micro- and macroeconomic levels.


2020 ◽  
Vol 67 (4) ◽  
pp. 1367-1379
Author(s):  
Vladimir Šebek

Public concern about the environmental impact of economic activities has significantly increased around the globe in recent years. Within the scope of unlawful acts, environmental delicts are among the most serious ones in terms of environmental impact, the consequences of which directly affect the quality and development of agriculture as the main branch of economic activity. The issue of environmental protection and liability can be approached from different perspectives, and the focus of the present research will be on the analysis of environmental delicts committed by legal entities, taking into consideration the importance and role of these entities in agriculture. In addition to general assumptions on legal regulation of the liability of legal entities, the authors also presented the results of research on legal entities reported, charged, and convicted for environmental delicts in the Republic of Serbia in the period from 2010 to 2017, with a special emphasis on the analysis of results obtained in the abovementioned research areas for the territory of AP Vojvodina.


Author(s):  
Makhsad Isabayev Bakhodirovich ◽  

In this scientific article, international and national legislation on citizens decision-making processes has been investigated, to what extent is the importance of public control in the process of political decision-making, the implementation of citizens' participation in local government directly by itself or through elected representatives (political institutions). Also, practical proposals aimed at increasing the participation of public structures in decision-making were made.


The concept of farm management can be defined as the organization of land, labour, capital, and management (decision-making and risk-taking) in operating a farm enterprise to meet the stated objectives including profit maximisation. Of the four fundamental factors of production, management stands out in its onerous role in organizing all the others in meeting the defined objectives of the enterprise. Onerous as the role of management as a factor of production is, it cannot work in isolation of the others. There is therefore a need to discuss farm management as a concept with due focus on the notion of entrepreneurial spirit and at the same time bring out the peculiar features of the factors of production in working together to maintain a going concern. It is against this background that this chapter discusses the concept of farm management. The specific objectives of the chapter include defining the meaning and scope of farm management, highlighting the resources available to the farm enterprise, highlighting the relevance of entrepreneurship behaviour and entrepreneurship spirit in growing an enterprise, and highlighting the importance of farm management. The methodology adopted is descriptive. It is argued in this chapter that present and prospective farm managers should essentially have entrepreneurial spirit with which to start, grow, and expand their enterprise in line with the objective of the enterprise in question. Searching out investment opportunities and effectively ploughing back profits on existing or new investments for expansion enterprise is one of the decisions of management.


2020 ◽  
Vol 164 ◽  
pp. 09005
Author(s):  
Anna Belolipetskaya ◽  
Tatyana Golovina ◽  
Andrey Polyanin ◽  
Yulia Vertakova

The purpose of the research is to study the problems of the competence interface of personnel management of business structures in the context of digital transformation and to justify the organizational and managerial measures for its development and effective use. The analysis of various approaches to highlighting the competencies of personnel in the digital economy, by which is meant the confident and selective use of information and communication technologies in the ecosystem, is presented. It is determined that the use of digital technologies is a prerequisite for ensuring the competitiveness of business structures. The leading role of “soft” skills, including both cognitive and socio-behavioral abilities, is substantiated. A three-module model of personnel competencies in the context of digital transformation is suggested, in which such digital competencies and skills as: working with digital technologies, creative thinking and behavior, professionally oriented skills in the field of production and managerial activities are highlighted. The use of the competency-based approach to the digital transformation of economic processes helps to increase the adaptability of the existing system of economic relations to the conditions of the new technological structure, and provides the possibility of introducing end-to-end technologies into management decision-making processes in order to increase their efficiency.


2019 ◽  
Vol 110 ◽  
pp. 02052 ◽  
Author(s):  
Sergey Krasnov ◽  
Sergey Sergeev ◽  
Elizaveta Zotova ◽  
Nadezhda Grashchenko

The paper presents the results of the developed algorithms aimed at optimizing management decision-making by the administration of megalopolises. A mathematical model is obtained within the concept of digital economy. The regulatory action of dispositive decisions is aimed at business entities whose activities are externalized while consuming energy resources. Since any resources are used unevenly throughout the year, the authors apply the methods of the theory of optimal decisions. The criterion is the functional reflection of the balance between the maximum profit, the comfort of living conditions, and the environmental conditions. The results obtained make it possible to take administrative decisions in an optimal way, which reduces the negative effects of externalities and results in the most efficient use of energy resources.


2020 ◽  
Vol 6 (4) ◽  
pp. 124 ◽  
Author(s):  
Sergey Yevgenievich Barykin ◽  
Irina Vasilievna Kapustina ◽  
Tatiana Viktorovna Kirillova ◽  
Vladimir Konstantinovich Yadykin ◽  
Yevgenii Aleksandrovich Konnikov

This paper examines a new approach to defining digital ecosystems. Within the digital economy of ecosystems, competition is eliminated, and organizations form unions and alliances in order to work together and cooperate to reach a set goal. This means a digital ecosystem can be viewed as a complex environment in which organizations without any hard ties operate. Digital ecosystems differ from traditional ecosystems in many ways. The business organization of the latter is based on management decision making by people. This paper presents theoretical foundations for developing digital ecosystems based on a literary review. Based on the logic of scientific search using the keywords “ecosystem” and “biological ecosystem”, the commonality of the properties of the digital ecosystem and the biological ecosystem is shown. The aim of the study is to identify common characteristics in biological, economic and digital ecosystems in order to substantiate the possibility of using the same approaches for research and modeling of such systems. A definition of a digital ecosystem is proposed by the authors which points out the main features of this kind of system and highlights the dominant role of modern digital technologies in the formation of the digital ecosystem. The paper looks at the distinctive features of digital ecosystems and characteristics similar to the characteristics of biological ecosystems, such as ecosystem participants, presence of limiting impacts, lack of vertical hierarchical communication. The developed model can be used to model digital ecosystems. The authors believe that the emergence of a trend in the transformation of ecosystems in the direction of expanding the collaboration of economic agents is reasonable. At the same time, digitalization helps to replace competition with collaboration. The paper finishes with a discussion of the obtained results and a plan for further research.


Water ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 3548
Author(s):  
Nicole S. Hutton ◽  
Thomas R. Allen

Coastal reservations are increasingly vulnerable to hazards exacerbated by climate change. Resources for restoration projects are limited. Storm surge, storms, tidal flooding, and erosion endanger artifacts and limit livelihoods of tribes in coastal Virginia. GIS offers a platform to increase communication between scientists, planners, and indigenous groups. The Pamunkey Indian Tribe engaged in a participatory mapping exercise to assess the role of traditional ecological knowledge (TEK) in coastal management decision-making and its capacity to address flooding. Priorities and strategies were spatially referenced using maps of potential sea level rise for 2040, 2060, and 2080, input into a resilience matrix to identify benchmarks for each phase of disaster resilience building, and contextualized with oral histories. Results highlight increased immediacy to protect housing and heritage sites along the shoreline as well as maintain access to the Reservation. Preferences toward structural solutions guided by and facilitating TEK options were expressed. Additional community capacities, tribal council support, federal assistance, impact assessments, and coordination would facilitate risk reduction project implementation. The screening process integrates TEK with planning and is transferable to neighboring tribes.


2021 ◽  
Vol 16 (2) ◽  
pp. 146-153
Author(s):  
Svetlana Evgenievna Germanova ◽  
Tatiana Valeryevna Magdeeva ◽  
Vadim Gennadievich Pliushchikov

The assessment of impact of oil production economic activities on land pollution in Russia contributes to evolutionary management decision making. Oil industrial pollution affects negatively flora and fauna. Thus, its important to identify the level of its exposure and danger, the site of contamination. A system approach is needed. When studying the environment, its necessary to consider the presence of risk situations and stochastic irreversible changes. Its essential to identify the nature and type of soil contamination with petroleum products using high-tech tools, intellectual procedures. The work considers modeling of such situation, forecasting and identification of oil contaminants. The submodel of optimal termination of monitoring is also considered. Ending monitoring of environmental optimization will result in lower monitoring costs, since monitoring oilcontaminated environments is an expensive and complex technological mechanism, often requiring satellite data. The proposed algorithm for modeling and system analysis is based on situational modeling. Evolutionary modeling allows to adapt the procedure (methodology) of forecasting and assessment to environmental risk factors. It increases the accuracy (formalization and evidence) and completeness of conclusions, the efficiency of situation analysis, which affects manageability of risk both for the oil complex and for individual enterprise in the industry. The results of the research may be used for development of software tools, in particular expert and predictive systems. Situational models are needed when oil companies are solving multi-criteria and multifactor problems.


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