IDEAS home Printed from https://ideas.repec.org/a/ags/areint/337435.html
   My bibliography  Save this article

Modeling of the information system for agribusiness management entities

Author

Listed:
  • Sumets, Alexander
  • Heorhiadi, Nelli
  • Tyrkalo, Yuriy
  • Vilhutska, Roksolana
  • Pylypenko, Iov

Abstract

Purpose. The purpose of the research is to formulate recommendations for modeling the information support system of agribusiness management entities, which is characterized by correctness, adequacy and high quality of input, processing and monitoring of data necessary for agribusiness management entities to make and implement rational management decisions. To achieve this goal, the possibilities of applying methodological and applied tools are analyzed in order to avoid data distortions in the system of information support of agribusiness management entities and to identify the needs of operational adjustment of business decisions. An economic justification of the optimal direction of resource flows by types of economic activity of agribusiness was carried out. The sequence of performing managerial and analytical operations during the processing of information characterizing the choice of the best of alternatives regarding the planning of resource flows and flows of finished products is specified. The components of the model of the information support system of agribusiness management entities are identified. Methodology / approach. The method of interference-resistant coding of management data was applied to avoid data distortions in the information support system of agribusiness management subjects. The control chart method was used to identify the need for prompt adjustment of business decisions. Binary relations and Saati’s methodology are applied for the economic justification of the optimal direction of resource flows by types of economic activity and the processing of information characterizing the choice of the best of the alternatives regarding the planning of resource flows and flows of finished products. The method of abstraction and the process-structural scientific-methodical approach were used to isolate the components of the model of the information support system of the entities of agribusiness management. Results. It is argued that combination of Hemming’s method of interference-resistant coding of management data with the method of control charts makes it possible to avoid data distortions in the system of information support of agribusiness management entities and allows timely identification of the needs for prompt adjustment of business decisions. The method of identifying vectors of optimal direction of resource flows by agribusiness according to the types of their economic activity is substantiated. It is advisable to use this method also for processing information that characterizes the choice of the best of the alternatives regarding the planning of resource flows and flows of finished products. The structure of the model of the system of information support of agribusiness management subjects and the nature of the connections between the components of the model are specified. Originality / scientific novelty. Recommendations for modeling the system of information support of agribusiness management subjects have been developed, which are based on the application of a process-structural methodical approach and a set of methodical tools. This makes it possible to avoid data distortions in the system of information support of agribusiness management entities and allows timely identification of the needs for operational adjustment of business decisions. Practical value / implications. The practical value of applying the developed recommendations for modeling the information support system is to obtain additional opportunities for subjects of agribusiness management. These include: optimization of management processes, in particular to identify vectors of direction of resource flows by types of their economic activity; implementation of a reasoned choice of the best of the alternatives regarding the planning of resource flows and flows of finished products.

Suggested Citation

  • Sumets, Alexander & Heorhiadi, Nelli & Tyrkalo, Yuriy & Vilhutska, Roksolana & Pylypenko, Iov, 2023. "Modeling of the information system for agribusiness management entities," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 9(2), June.
    • Handle: RePEc:ags:areint:337435
    DOI: 10.22004/ag.econ.337435
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/337435/files/3_Sumets_article.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.337435?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. Natalia Semenova, 2021. "Management control systems in response to social and environmental risk in large Nordic companies," International Journal of Corporate Social Responsibility, Springer, vol. 6(1), pages 1-11, December.
    2. Yuanzhi Guo & Jieyong Wang, 2021. "Spatiotemporal Changes of Chemical Fertilizer Application and Its Environmental Risks in China from 2000 to 2019," IJERPH, MDPI, vol. 18(22), pages 1-14, November.
    3. Hamed Taherdoost, 2021. "A Review on Risk Management in Information Systems: Risk Policy, Control and Fraud Detection," Post-Print hal-03741848, HAL.
    4. Pooja Nanda & Vikas Kumar, 2022. "Information Processing and Data Analytics for Decision Making: A Journey From Traditional to Modern Approaches," Information Resources Management Journal (IRMJ), IGI Global, vol. 35(2), pages 1-14, April.
    5. Louai Ghazieh & Nadia Chebana, 2021. "The effectiveness of risk management system and firm performance in the European context," Journal of Economics, Finance and Administrative Science, Emerald Group Publishing Limited, vol. 26(52), pages 182-196, August.
    6. Niko Wojtynia & Jerry van Dijk & Marjolein Derks & Peter W. G. Groot Koerkamp & Marko P. Hekkert, 2021. "A new green revolution or agribusiness as usual? Uncovering alignment issues and potential transition complications in agri-food system transitions," Post-Print hal-03893991, HAL.
    7. Sumets, Alexander & Tyrkalo, Yuriy & Popovych, Nataliia & Poliakova, Juliia & Krupin, Vitaliy, 2022. "Modeling of the environmental risk management system of agroholdings considering the sustainable development values," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 8(4), 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. Sumets, Alexander & Tyrkalo, Yuriy & Popovych, Nataliia & Poliakova, Juliia & Krupin, Vitaliy, 2022. "Modeling of the environmental risk management system of agroholdings considering the sustainable development values," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 8(4), December.
    2. Odeh Al-Jayyousi & Hira Amin & Hiba Ali Al-Saudi & Amjaad Aljassas & Evren Tok, 2023. "Mission-Oriented Innovation Policy for Sustainable Development: A Systematic Literature Review," Sustainability, MDPI, vol. 15(17), pages 1-21, August.
    3. Jianying Xiao & Qian Wang & Jinjin Dai & Bin Yang & Long Li, 2023. "Urban Residents’ Green Agro-Food Consumption: Perceived Risk, Decision Behaviors, and Policy Implications in China," Sustainability, MDPI, vol. 15(13), pages 1-17, July.
    4. Stavros Kalogiannidis & Stamatis Kontsas & Dimitrios Kalfas & Fotios Chatzitheodoridis, 2024. "Operational risk management in managerial accounting: a comprehensive examination of strategies and implementation in medium size organizations," Operational Research, Springer, vol. 24(3), pages 1-27, September.
    5. Kok, Kristiaan P.W. & Klerkx, Laurens, 2023. "Addressing the politics of mission-oriented agricultural innovation systems," Agricultural Systems, Elsevier, vol. 211(C).
    6. Daniel Velden & Joost Dessein & Laurens Klerkx & Lies Debruyne, 2023. "Constructing legitimacy for technologies developed in response to environmental regulation: the case of ammonia emission-reducing technology for the Flemish intensive livestock industry," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 40(2), pages 649-665, June.
    7. Shekhar & Debadyuti Das, 2023. "Enablers of ‘Creating Shared Value’: A Total Interpretive Structural Modeling–Polarity Approach," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(2), pages 291-318, June.
    8. Hoogstra, A.G. & Silvius, J. & de Olde, E.M. & Candel, J.J.L. & Termeer, C.J.A.M. & van Ittersum, M.K. & de Boer, I.J.M., 2024. "The transformative potential of circular agriculture initiatives in the North of the Netherlands," Agricultural Systems, Elsevier, vol. 214(C).
    9. Amusan Lekan & Okalome Chukwuemeka & Aigbavboa Clinton, 2022. "Exploratory Approach to Issues and Strategy Involved in Creating Industrial Revolution Time Environmental Sustainability by Construction Firms on Sites," Sustainability, MDPI, vol. 14(5), pages 1-26, February.
    10. Kryshtal, Halyna & Tomakh, Viktoriia & Ivanova, Tetiana & Metelytsia, Volodymyr & Yermolaieva, Maryna & Panin, Yevhen, 2024. "Eco-innovative transformation of the urban infrastructure of Ukraine on the way to post-war recovery," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 2(55), pages 391-408.
    11. Nic J. Lees & Sivashankar Sivakumar & Xiaomeng Lucock, 2024. "Agrifood Sustainability Transitions in Firms and Industry: A Bibliographic Analysis of Research Themes," Sustainability, MDPI, vol. 16(16), pages 1-27, August.

    More about this item

    Keywords

    Agribusiness;

    Statistics

    Access and download statistics

    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:ags:areint:337435. 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: AgEcon Search (email available below). General contact details of provider: http://are-journal.com/are .

    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.