{"id":16426,"date":"2021-11-20T07:16:03","date_gmt":"2021-11-20T05:16:03","guid":{"rendered":"https:\/\/modecon.mnau.edu.ua\/?p=16426"},"modified":"2021-11-26T14:56:06","modified_gmt":"2021-11-26T12:56:06","slug":"methodology-of-effective-application-of","status":"publish","type":"post","link":"https:\/\/modecon.mnau.edu.ua\/en\/methodology-of-effective-application-of\/","title":{"rendered":"Krasnyuk M., Kulynych Yu., Tkalenko A., Krasniuk S. Methodology of Effective Application of Economic-Mathematical Modeling as the Key Component of the Multi-Crisis Adaptive Management"},"content":{"rendered":"

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JEL Classification<\/strong>: C18; C61; G01; O21; C54; C61, L9
\n<\/span><\/td>\n		DOI<\/b>: https:\/\/doi.org\/10.31521\/modecon.V29(2021)-16<\/a><\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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Krasnyuk Maxim, <\/strong>Ph.D. of Economics, Associate Professor, Department of Information Systems in Economics, Institute of Information Technologies in Economics, Vadym Hetman Kyiv National Economic University, Kyiv, Ukraine<\/p>\n

ORCID ID:<\/strong> 0000-0002-8857-8821<\/a><\/span>
\ne-mail:<\/strong> kmt@ukr.net<\/span><\/a><\/p>\n

Kulynych Yurii, <\/strong>Ph.D. of Economics, Associate Professor of the Department of Finance, Institute of Economics and Management, National University of Food Technologies, Kyiv, Ukraine<\/p>\n

ORCID ID:<\/strong> 0000-0002-9018-0708<\/a><\/span>
\ne-mail:<\/strong> iurii.kulynych@gmail.com<\/span><\/a><\/p>\n

Tkalenko Antonina, <\/strong>Senior Lecturer, Institute of Law and Modern Technologies, Kyiv National University of Technologies and Design, Kyiv, Ukraine<\/p>\n

ORCID ID:<\/strong> 0000-0003-2132-3119<\/a><\/span>
\ne-mail:<\/strong> tkalenko.am@knutd.com.ua<\/span><\/a><\/p>\n

Krasniuk Svitlana, <\/strong>Senior Lecturer, Institute of Law and Modern Technologies, Kyiv National University of Technologies and Design, Kyiv, Ukraine<\/p>\n

ORCID ID:<\/strong> 0000-0002-5987-8681<\/a><\/span>
\ne-mail:<\/strong> krasnyuk.so@knutd.edu.ua<\/span><\/a><\/p>\n

<\/h2>\n

Methodology of Effective Application of Economic-Mathematical Modeling as the Key Component of the Multi-Crisis Adaptive Management<\/h2>\n

 <\/p>\n

Abstract. Introduction<\/strong>. The modern economy is characterized not only by processes of increasing globalization and competition in markets, mobility and internationalization of resources, rapid development of innovative information technologies, but also by rapid spread of crisis phenomena in the middle and between national economies – all these factors put forward new requirements for effective corporate management [1, 2].<\/p>\n

Purpose.<\/strong> Thus, for the sake of stability, not only in the current global market competition, but especially in the context of multi-level crisis phenomena [3], all efficient companies (including logistic) should be able to adapt quickly and efficiently to changes, i.e., they must be systemically adaptive with using economic and mathematical modeling of crisis program, forecasting the results of crisis management.<\/p>\n

Results.<\/strong> The two main groups of results will provide an adequate, systemic multi-modal response to a variety of crisis events and situations. The process of assembling and configuring the elements of the crisis program (plan) is inherently an open, heuristic, intellectual process of making managerial decisions and scenarios. The intellectual and professional abilities of the manager (specialist, auditor, controller) performing this task play a significant role in the development and implementation of effective crisis management plans and programs. This determines the importance of the personal factor and experience in preparing for decision-making in open problems, determines the requirements for the selection and organization of work in the ad-hoc mode of internal and external experts ( auditors, controllers). However, a study of the management practice of logistics companies in emerging markets (especially in the context of the current global pandemic) showed a significant and negative potential impact of subjective factors on decisions of the management of logistics companies, their auditors and controllers (cheating, corruption, raiding, inattention, industrial espionage, etc.). To limit the influence of the above subjective factors, the authors conducted research in the field of economic and mathematical modeling on two main tasks: development of a methodology and model for the formation of a crisis plan for a logistics company in the context of a possible multi-level crisis and development of methodology and improvement of models for predicting the results of a possible implementation of an crisis three-level adaptive program for a logistics company, taking into account the influence of the current multi-level crisis features and conditions.
\nThe results obtained can be used by logistics companies on emerging markets of developing countries and under the influence of similar political, macroeconomic and pandemic crisis phenomena (for example, including many countries in Africa, most countries in Eastern Europe, some countries of Latin America, some countries in the Middle East, and some countries in Southeast Asia).<\/p>\n

Conclusions.<\/strong> The obtained results are relevant and applicable not only for local logistic companies, but also for international applications in the context of projected glo bal macroeconomic and current national crisis phenomena.<\/p>\n

Keywords:<\/strong> crisis management; logistics company; economic and mathematical modeling of crisis program; forecasting the results of crisis management.<\/p>\n

References:<\/strong><\/p>\n

    \n
  1. Krasniuk, M.\u00a0T. & Kustarovskyi, O.\u00a0D. (2017). Problems and prospects of development of Ukrainian logistics and information systems in the conditions of a globalized economy and macroeconomic crisis phenomena. Investytsii : praktyka ta dosvid.<\/em> Kyiv. 10. 34-39 [in Ukrainian].<\/li>\n
  2. Kulynych,\u00a0Y. (2012). Genesis of planning theories from the standpoint of determining the prospects of economic development of the enterprise. Ekonomichny`j analiz.<\/em>\u00a0 11(2). 304-307 [in Ukrainian].<\/li>\n
  3. Crisis Management : Multi-Dimensional Typologies (2020). Retrieved from :\u00a0 https:\/\/www.futurelearn.com\/info\/courses\/high-stakes-leadership-leading-in-times-of-crisis\/0\/steps\/171225 [in English].<\/li>\n
  4. Krasnyuk,\u00a0M., Tkalenko,\u00a0A.\u00a0&\u00a0Krasniuk,\u00a0S. (2021). Development of the fintech industry and fintech technologies under covid-19.\u00a0 Grail of Science, (4), 68-70. DOI: https:\/\/doi.org\/10.36074\/grail-of-science.07.05.2021.009 [in Ukrainian].<\/li>\n
  5. Krasnyuk,\u00a0M.\u00a0T. & Kustarovskiy,\u00a0O.\u00a0D. (2017). Research, adaptation of methods and perfection of models of financial analysis of enterprises of transport industry in the current crisis conditions of Ukraine. Modeliuvannia ta inform. systemy v ekonomitsi<\/em> : Zb. Nauk. Pr. \/ Vidp. Red. V.K. Halitsyn. 93. 175 \u2013 195 [in Ukrainian].<\/li>\n
  6. Krasnyuk,\u00a0M., Hrashchenko,\u00a0I., Krasniuk,\u00a0S.\u00a0&\u00a0Kustarovskiy,\u00a0O. Reengineering of a Logistic Company and its Information System Taking into Account Macroeconomic Crisis (2019). Modern Economics<\/em>. 13. 141-153. DOI: https:\/\/doi.org\/10.31521\/modecon.V13(2019)-23 [in English].<\/li>\n
  7. Krasnyuk,\u00a0M.\u00a0&\u00a0Kustarovskiy\u00a0O. (2017). The development of the concept and set of practical measures of crisis logistics management in the current Ukraine conditions. Management theory & practice. <\/em>Publisher : Warsaw Management University. 19 (1). 31-38 [in English].<\/li>\n
  8. Hrashchenko,\u00a0I.\u00a0&\u00a0Krasnyuk,\u00a0M.\u00a0& Krasniuk,\u00a0S. (2020). Iterative methodology of bankruptcy forecast of logistic companies in emerging markets, taking into account global\/regional crisis. Problems of systemic approach in the economy<\/em>. 1(75). 138\u2013147.\u00a0 DOI: https:\/\/doi.org\/10.32782\/2520-2200\/2020-1-43 [in English].<\/li>\n
  9. Herashchenko,\u00a0I.\u00a0S.,\u00a0Krasniuk,\u00a0M.\u00a0T.\u00a0&\u00a0Kustarovskyi,\u00a0O.\u00a0D.\u00a0(2018). Improvement of the economic and mathematical modeling of the results of implementation of individual elements of the adaptive crisis policy of the transport industry companies of Ukraine. Naukovyi visnyk Uzhhorodskoho universytetu Seriia \u00abEkonomika\u00bb.<\/em> 1 (51). 205 \u2013 211 [in Ukrainian]<\/li>\n
  10. Krasnyuk,\u00a0M.,\u00a0Tkalenko,\u00a0A.\u00a0&\u00a0Krasniuk,\u00a0S.\u00a0(2021). Results of analysis of machine learning practice for training effective model of bankruptcy forecasting in emerging markets. Collection of scientific works \u039b\u038c\u0413O\u03a3.<\/em> DOI: https:\/\/doi.org\/10.36074\/logos-09.04.2021.v1.07[in English].<\/li>\n
  11. Zholonko\u00a0T., Grebinchuk,\u00a0O., Bielikova,\u00a0M., Kulynych,\u00a0Y.,\u00a0&\u00a0Oviechkina,\u00a0O. (2021). Methodological Tools for Investment Risk Assessment for the Companies of Real Economy Sector. Risk Financial Managment.<\/em> 14 (2). 78 [in English].<\/li>\n
  12. Krasnyuk,\u00a0M.\u00a0T., Hrashchenko,\u00a0I.\u00a0S., Kustarovskiy,\u00a0O.\u00a0D.\u00a0&\u00a0Krasniuk,\u00a0S.\u00a0O. (2018).\u00a0 Methodology of effective application of Big Data and Data Mining technologies as an important crisis component of the complex policy of logistic business optimization. Economies\u2019 Horizons.<\/em> 3(6). 121\u2013136, DOI: https:\/\/doi.org\/10.31499\/2616-5236.3(6).2018.156317 [in English].<\/li>\n
  13. Krasnyuk,\u00a0M.\u00a0&\u00a0Krasniuk,\u00a0S. (2020). Comparative characteristics of machine learning for predicative financial modelling.\u00a0 Collection of scientific works \u039b\u038c\u0413O\u03a3<\/em>, 55-57. DOI: https:\/\/doi.org\/10.36074\/26.06.2020.v1.21 [in English].<\/li>\n
  14. Claire Meyer (2020). Multi-Crisis Management. Retrieved from :\u00a0 https:\/\/www.asisonline.org\/security-management-magazine\/articles\/2020\/03\/multi-crisis-management\/ [in English].<\/li>\n<\/ol>\n

    [\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]Received: <\/strong>03 October 2021<\/p>\n

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    Krasnyuk M., Kulynych Yu., Tkalenko A., Krasniuk S. (2021). Methodology of Effective Application of Economic-Mathematical Modeling as the Key Component of the Multi-Crisis Adaptive Management. Modern Economics, 29(2021), 100-106. DOI: https:\/\/doi.org\/10.31521\/modecon.V29(2021)-16.<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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    [vc_row][vc_column][vc_column_text] JEL Classification: C18; C61; G01; O21; C54; C61, L9 DOI: https:\/\/doi.org\/10.31521\/modecon.V29(2021)-16 [\/vc_column_text][vc_column_text] Krasnyuk Maxim, Ph.D. of Economics, Associate Professor, Department of Information Systems in Economics, Institute of Information Technologies in Economics, Vadym Hetman Kyiv National Economic University, Kyiv, Ukraine ORCID ID: 0000-0002-8857-8821 e-mail: kmt@ukr.net Kulynych Yurii, Ph.D. of Economics, Associate Professor of the Department
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