2024 2(47) 18

Conceptual Principles of Implementing Digital Technologies and Artificial Intelligence into the Waste Management System: Advantages, New Challenges and Risks

Rogoza M. E.
Doctor of Economic Sciences, professor
ORCІD https://orcid.org/0000-0002-5654-7385
е-maіl: rogoza.ne@gmaіl.com,
Kryvenko S. V.
PhD in Economic Sciences, assistant professor
ORCID https://orcid.org/0009-0007-5971-2802
e-mail svkryvenko@gmail.com,
Poltava University of Economics and Trade

Citation Format
Rogoza, M. E., Kryvenko, S. V. (2024). Conceptual Principles of Implementing Digital Technologies and Artificial Intelligence into the Waste Management System: Advantages, New Challenges and Risks. Vіsnyk ekonomіchnoі nauky Ukraіny, 2 (47), рр. 136-142. DOІ: https://doi.org/10.37405/1729-7206.2024.2(47).136-142

Language
Ukrainian

Resume
The article examines modern problems of the waste management system, substantiates and systematizes theoretical and practical approaches to implementing digital technologies and artificial intelligence into the waste management system, and the prospects for using artificial intelligence technologies in solving operational and strategic management tasks. The advantages of integrating digital technologies and artificial intelligence into the waste management system for organizing collection, utilization, transportation, processing, waste disposal, monitoring and regulation of processes at all stages are revealed. Difficulties and problems on the way to the widespread use of artificial intelligence in the waste management system are identified and presented. The role of the imbalance between the professional skills of employees and the requirements of employers in the processes of production automation and the need to transition to Industry 4.0 and Industry 5.0 models has been determined.
The study includes results from the following key aspects: a holistic understanding of new challenges and prospects for the implementation of digital technologies and artificial intelligence in waste management systems; the emergence of risks of a digital crisis; the use of artificial intelligence at the logistics level; interaction with customers and suppliers; prediction of the volume of shipped waste; experience and success of waste management systems of foreign companies; digital intensity index of the use of digital technologies; formation of cyber risks and consequences of digitalization; net zero economy; processes of efficiency of reporting and cooperation with the State Statistics Service; the sphere of artificial intelligence in human decisionmaking motives; lost financial value in landfills and during incineration.
The article concludes with conclusions that emphasize the importance of the author’s own vision of the modern paradigm of the waste management system in ensuring economic development in the context of the digitalization of the economy and the features of the use of artificial intelligence.

Keywords
digitalization, artificial intelligence, digital technologies, waste management systems, logistics, digital crisis, informatization, innovative decision-making methods, company, cybersecurity, cyber risks, robotization processes, net zero economy, process, socio-ecological-economic system.

Referensces

  1. Pro upravlinnia vidkhodamy: Zakon Ukrainy № 2320-IX (Iz zminamy, vnesenymy zghidno iz Zakonom vid 13.12.2022 r. №2849-IХ) [On Waste Management: Law of Ukraine (As amended by Law No. 2849 IX of 13.12.2022)]. Retrieved from https://zakon.rada.gov.ua/laws/show/2320-20#Text [in Ukrainian].
  2. How digitalised have the EU’s enterprises become? (2024). Retrieved from https://ec.europa.eu/eurostat/web/products-eurostat-news/w/ddn-20240829-1.
  3. Shcho ochikuvaty biznesu vid reformy systemy upravlinnia vidkhodamy ta yak pidhotuvatys do zmin [What businesses can expect from the waste management system reform and how to prepare for changes]. (2023). Retrieved from https://biz.ligazakon.net/news/221789_shcho-ochkuvati-bznesu-vd-reformi-sistemi-upravlnnya-vdkhodami-ta-yak-pdgotuvatis-do-zmn [in Ukrainian].
  4. Russel, S., Norvig, P. (2021). Artificial Intelligence: A modern Approach (Pearson Series in Artificial Intelligence). New York, Pearson.
  5. Soni, N., Sharma, E., Singh, N., Kapoor, A. (2020). Impact of Artificial Intelligence in Business: From Research and Innovation to Market Deployment. Procedia Computer Science, Vol. 167, рр. 2200-2210. DOI: https://doi.org/10.1016/j.procs.2020.03.272.
  6. Enholm, I., Papagiannidis, E., Mikalef, P., Krogstie, J. (2021). Artificial Intelligence and Business Value: A Literature Review. Information System Frontiers. DOI: https://doi.org/10.1017/s10796-021-10186-w.
  7. Shevchenko, A. I., Baranovskyi, S. V., Bilokobylskyi, O. V. et al. (2023). Stratehiia rozvytku shtuchnoho intelektu v Ukraini [Strategy for the development of artificial intelligence in Ukraine]. Kyiv, Ipshi. 305 р. [in Ukrainian].
  8. Provost, E., Fawcett, T. (2021). Data Science for Business. What you need to know about Data Mining and Data-Analytic Thinking. Sebastopol, O’Reilly Media.
  9. Bollegraaf and Greyparrot Forge Strategic AI Partnership. (2024). Retrieved from https://www.recovery-worldwide.com/en/artikel/bollegraaf-and-greyparrot-forge-strategic-ai-partnership-4091652.html.
  10. Global Digital Transformation Spending in Logistics Industry 2020. Report Linker. Retrieved from https://www.Reportlinker.com/p05960886Global-Digital-Transformation-Spending-in-Logistics–industry.html.

Full Text (.pdf)

Received: 15.11.2024
Accepted: 12.12.2024
Published: 23.12.2024