IDEAS home Printed from https://ideas.repec.org/a/aid/journl/v6y2023i1p71-91.html
   My bibliography  Save this article

Modelling the Level of the Enterprise’ Resource Security Using Artificial Neural Networks

Author

Listed:
  • Mariia Pankova

    (Donetsk National Technical University, Pokrovsk, Ukraine)

  • Aleksy Kwilinski

    (Faculty of Applied Sciences, WSB University, Dabrowa Gornicza, Poland; The London Academy of Science and Business, London, UK)

  • Nataliya Dalevska

    (Institute for International Cooperation Development, Poznan, Poland Donetsk National Technical University, Pokrovsk, Ukraine)

  • Valentyna Khobta

    (Donetsk National Technical University, Pokrovsk, Ukraine)

Abstract

Significant attention is paid to increasing the efficiency of using resources by business entities due to the growing dependence between economic growth and the number of consumed resources, problems with access to various types of resources on the market, as well as their exhaustion in the face of growing needs. At the same time, various digitization tools are widely used to solve these problems. This paper considers artificial neural networks as a tool for modelling and forecasting the level of resource security in the economic activity of an enterprise, which is divided into separate functional blocks (production, personnel, finance). To this end, a multi-layer perceptron model (MLP) was used by constructing and training a network on several possible architectures in order to select the one with the highest classification quality. In the process of training, testing and verification of MLP networks, 32 indicators were used as input data, characterizing the state and efficiency of using various types of enterprise resources, for 85 enterprises over the five years of their operation. The initial data were the values of the safety zone, which were set separately for each indicator, subsystem and enterprise using economic-mathematical modelling on the basis of determining the acceptable limits of indicator fluctuations. As a result, four MLP networks were selected (one network for each of the three functional subsystems, as well as one for the enterprise as a whole), which were characterized by the highest value of quality at each stage of calculations (training, testing, verification). The performed calculations proved that artificial neural networks can be a useful and convenient tool for determining the security level of an enterprise in various directions of its economic activity (types of consumed or involved resources), and therefore can be more widely used by business entities to increase the validity of management decisions.

Suggested Citation

  • Mariia Pankova & Aleksy Kwilinski & Nataliya Dalevska & Valentyna Khobta, 2023. "Modelling the Level of the Enterprise’ Resource Security Using Artificial Neural Networks," Virtual Economics, The London Academy of Science and Business, vol. 6(1), pages 71-91, March.
    • Handle: RePEc:aid:journl:v:6:y:2023:i:1:p:71-91
    DOI: 10.34021/ve.2023.06.01(5)
    as

    Download full text from publisher

    File URL: https://virtual-economics.eu/index.php/VE/article/download/241/126
    Download Restriction: no
    File URL: https://libkey.io/10.34021/ve.2023.06.01(5)?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Izabela Rojek & Jan Studzinski, 2019. "Detection and Localization of Water Leaks in Water Nets Supported by an ICT System with Artificial Intelligence Methods as a Way Forward for Smart Cities," Sustainability, MDPI, vol. 11(2), pages 1-13, January.
    2. Yurii Kharazishvili & Aleksy Kwilinski & Olena Grishnova & Henryk Dzwigol, 2020. "Social Safety of Society for Developing Countries to Meet Sustainable Development Standards: Indicators, Level, Strategic Benchmarks (with Calculations Based on the Case Study of Ukraine)," Sustainability, MDPI, vol. 12(21), pages 1-21, October.
    3. Vasylishyn, Stanislav & Ulyanchenko, Oleksandr & Bochulia, Tetiana & Herasymenko, Yuliia & Gorokh, Oleksandr, 2021. "Improvement of analytical support of economic security management of the agricultural enterprises," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 7(3), September.
    4. Oleksii Lyulyov & Tetyana Pimonenko & Natalia Stoyanets & Nataliia Letunovska, 2019. "Sustainable Development of Agricultural Sector: Democratic Profile Impact Among Developing Countries," Research in World Economy, Research in World Economy, Sciedu Press, vol. 10(4), pages 97-105, December.
    5. United Nations UN, 2015. "Transforming our World: the 2030 Agenda for Sustainable Development," Working Papers id:7559, eSocialSciences.
    6. Radosław Miśkiewicz & Krzysztof Matan & Jakub Karnowski, 2022. "The Role of Crypto Trading in the Economy, Renewable Energy Consumption and Ecological Degradation," Energies, MDPI, vol. 15(10), pages 1-15, May.
    7. Radoslaw Miskiewicz, 2022. "Clean and Affordable Energy within Sustainable Development Goals: The Role of Governance Digitalization," Energies, MDPI, vol. 15(24), pages 1-17, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Radoslaw Miskiewicz, 2022. "Clean and Affordable Energy within Sustainable Development Goals: The Role of Governance Digitalization," Energies, MDPI, vol. 15(24), pages 1-17, December.
    2. Aleksy Kwilinski & Oleksii Lyulyov & Tetyana Pimonenko, 2023. "Inclusive Economic Growth: Relationship between Energy and Governance Efficiency," Energies, MDPI, vol. 16(6), pages 1-16, March.
    3. Yana Us & Tetyana Pimonenko & Oleksii Lyulyov, 2023. "Corporate Social Responsibility and Renewable Energy Development for the Green Brand within SDGs: A Meta-Analytic Review," Energies, MDPI, vol. 16(5), pages 1-18, February.
    4. Volodymyr Nesterenko & Radoslaw Miskiewicz & Rafis Abazov, 2023. "Marketing Communications in the Era of Digital Transformation," Virtual Economics, The London Academy of Science and Business, vol. 6(1), pages 57-70, March.
    5. Henryk Dzwigol & Aleksy Kwilinski & Oleksii Lyulyov & Tetyana Pimonenko, 2023. "The Role of Environmental Regulations, Renewable Energy, and Energy Efficiency in Finding the Path to Green Economic Growth," Energies, MDPI, vol. 16(7), pages 1-18, March.
    6. Aleksy Kwilinski & Oleksii Lyulyov & Tetyana Pimonenko, 2023. "Greenfield Investment as a Catalyst of Green Economic Growth," Energies, MDPI, vol. 16(5), pages 1-16, March.
    7. Henryk Dzwigol, 2023. "The Quality Determinants of the Research Process in Management Sciences," Virtual Economics, The London Academy of Science and Business, vol. 6(2), pages 35-54, June.
    8. Aleksandra Kuzior & Aleksy Kwilinski & Ihor Hroznyi, 2021. "The Factorial-Reflexive Approach to Diagnosing the Executors’ and Contractors’ Attitude to Achieving the Objectives by Energy Supplying Companies," Energies, MDPI, vol. 14(9), pages 1-16, April.
    9. Radosław Miśkiewicz, 2020. "Efficiency of Electricity Production Technology from Post-Process Gas Heat: Ecological, Economic and Social Benefits," Energies, MDPI, vol. 13(22), pages 1-15, November.
    10. Yurii Kharazishvili & Aleksy Kwilinski & Oleksandr Sukhodolia & Henryk Dzwigol & Dmytro Bobro & Janusz Kotowicz, 2021. "The Systemic Approach for Estimating and Strategizing Energy Security: The Case of Ukraine," Energies, MDPI, vol. 14(8), pages 1-30, April.
    11. Henryk Dzwigol & Aleksy Kwilinski & Oleksii Lyulyov & Tetyana Pimonenko, 2023. "Renewable Energy, Knowledge Spillover and Innovation: Capacity of Environmental Regulation," Energies, MDPI, vol. 16(3), pages 1-15, January.
    12. Stephen Acheampong & Tetyana Pimonenko & Oleksii Lyulyov, 2023. "Sustainable Marketing Performance of Banks in the Digital Economy: The Role of Customer Relationship Management," Virtual Economics, The London Academy of Science and Business, vol. 6(1), pages 19-37, March.
    13. Zhaozhi Wang & Shoufu Lin & Yang Chen & Oleksii Lyulyov & Tetyana Pimonenko, 2023. "Digitalization Effect on Business Performance: Role of Business Model Innovation," Sustainability, MDPI, vol. 15(11), pages 1-19, June.
    14. Iryna Nyenno & Vyacheslav Truba & Liudmyla Tokarchuk, 2023. "Managerial Future of the Artificial Intelligence," Virtual Economics, The London Academy of Science and Business, vol. 6(2), pages 72-88, June.
    15. Aleksy Kwilinski & Oleksii Lyulyov & Tetyana Pimonenko, 2023. "The Effects of Urbanisation on Green Growth within Sustainable Development Goals," Land, MDPI, vol. 12(2), pages 1-16, February.
    16. Edward Owusu & Jones Lewis Arthur & Kwaku Amofah, 2023. "Cross-Сultural Communication Strategies in the Digital Era: A Bibliometric Analysis," Virtual Economics, The London Academy of Science and Business, vol. 6(2), pages 55-71, June.
    17. Paulina Schiappacasse & Bernhard Müller & Le Thuy Linh, 2019. "Towards Responsible Aggregate Mining in Vietnam," Resources, MDPI, vol. 8(3), pages 1-15, August.
    18. Pina Puntillo, 2023. "Circular economy business models: Towards achieving sustainable development goals in the waste management sector—Empirical evidence and theoretical implications," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(2), pages 941-954, March.
    19. Schlör, Holger & Venghaus, Sandra & Hake, Jürgen-Friedrich, 2018. "The FEW-Nexus city index – Measuring urban resilience," Applied Energy, Elsevier, vol. 210(C), pages 382-392.
    20. Jean-Louis Combes & Alexandru Minea & Pegdéwendé Nestor Sawadogo, 2019. "Assessing the effects of combating illicit financial flows on domestic tax revenue mobilization in developing countries," CERDI Working papers halshs-02019073, HAL.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aid:journl:v:6:y:2023:i:1:p:71-91. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Aleksy Kwilinski (email available below). General contact details of provider: https://edirc.repec.org/data/akwilin.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.