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Economica

Vol. 16 No. 1-2 (2025)
Articles

Adaptation of automated control technologies in SMEs

Published:
2025-07-31
DOI Linkhttps://doi.org/10.47282/economica/2025/16/1-2/14671
Author
Marcell Juhásu
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pdf (Hungarian)
Keywords
digitalization controlling artificial intelligence SME
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Copyright (c) 2025 Marcell Juhász

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How To Cite
Selected Style: APA
Juhásu, M. (2025). Adaptation of automated control technologies in SMEs. Economica, 16(1-2), 80-89. https://doi.org/10.47282/economica/2025/16/1-2/14671
Abstract

The spread of automated controlling technologies significantly impacts the operations of small and medium-sized enterprises (SMEs), especially in financial management. These technologies enable companies to manage their finances more efficiently, reduce costs, and enhance competitiveness. The benefits of automation include increased accuracy, reduced manual labor, and faster data processing, which allow managers to make more informed decisions. Through digital transformation, SMEs can access the latest technologies, such as artificial intelligence, cloud solutions, and big data analytics, further boosting the effectiveness of controlling systems. In the future, it will be crucial for SMEs to integrate new technologies like blockchain, IoT, and AI to sustainably improve their performance and competitiveness.

References
  1. [1] Artene, A. E. (2024). Unlocking business value: Integrating AI-driven decision-making in financial reporting systems. Electronics, 13(15), 3069. https://doi.org/10.3390/electronics13153069.
  2. [2] Bajnai, P. (2023). A KERESKEDELMI VÁLLALKOZÁSOK CONTROLLING TERÜLETÉNEK DIGITALIZÁCIÓS SAJÁTOSSÁGAI. Economica, 14(1-2), 49-59. Forrás: https://doi.org/10.47282/economica/2023/14/1-2/13217
  3. [3] Brynjolfsson E. & McAfee A. (2024). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W.W. Norton & Company.
  4. [4] Davenport. T. H & Harris, J. G. . (2007). Competing on analytics. Harvard Business Review, 84(1):98-107.
  5. [5] Fenyves V. (2019). Corporate Expectations Regarding the Role of the Controller: Results of a Hungarian Survey. International Review of Management and Marketing, 9 (6). Forrás: https://doi.org/10.32479/irmm.8566
  6. [6] Fenyves, V. & Dajnoki, K. (2015). Controlling opportunities in area of the human resources management. Annale Universitatii din Oradea Fasciola Management si Inginiere Technologica, 24(1), 137-142.
  7. [7] Flores, V., & Mena, L. J. (2024). Sustainable digital transformation for SMEs: A comprehensive framework for informed decision-making. *Sustainability,, 16(11), 4447. Forrás: https://doi.org/10.3390/su16114447
  8. [8] Mehmood, W., & Cavallaro, F. (2023). From insights to impact: Leveraging data analytics for data-driven decision making in the banking industry. Nature Humanities and Social Sciences Communications, 10(1), Article 101. Forrás: https://doi.org/10.1057/s41599-023-02122-x
  9. [9] Nawal A. A., & Ghadah A. (2021). nnovation practices for survival of small and medium enterprises (SMEs) in the COVID-19 times: the role of external support. Journal of Innovation and Entrepreneurship, 10(15), 10. Forrás: https://doi.org/10.1186/s13731-021-00156-6
  10. [10] Norton, R. S. Norton & D. P. (1996). he balanced scorecard: Translating strategy into action. Boston: Harvard Business School Press.
  11. [11] Szukits Á. & Móricz P. (2023). Towards data-driven decision making: The role of analytical culture and centralization efforts. Review of Managerial Science, 17*(2), 1-39. Forrás: https://doi.org/10.1007/s11846-023-00694-1
  12. [12] Szukits, Á. (2016). Menedzsmentkontroll rendszerek és a controller szervezeti szerepe. Budapesti Corvinus Egyetem: Budapest.
  13. [13] Thi, H. T. (2024). Financial data management in the digital economy. T. H. N. Nguyen, D. N. Burrell, V. K. Solanki, & N. A. Mai, Nguyen, Singapore. Forrás: https://doi.org/10.1007/978-981-99-8472-5_3
  14. [14] Tömöri, G. (2014). Examination of impact of pharma R&D on profitability. Annals of the University of Oradea – Economic Science, 23 (1), pp. 689-697.
  15. [15] Vrontis D., & Chaudhuri R., & Chattaerjee S. (2022). Adoption of Digital Technologies by SMEs for Sustainability and Value Creation: Moderating Role of Entrepreneurial Orientation. *Sustainability,, 14(13), 7949. Forrás: https://doi.org/10.3390/su14137949
  16. [16] Zéman Z. & Tóth A. (2017). Stratégiai pénzügyi controlling és menedzsment. Budapest: Akadémia Kiadó.
  17. [17] Zhang, Y. & Xiong, F. & Xie, Y., Fan, X. & Gu, H. (2020). The impact of artificial intelligence and blockchain on the accounting profession. Ieee Access, 110461-110477.