INDICATORS USED TO ASSESS THE SUCCESS OF ERP SYSTEMS

Authors

  • Obidjon Bekmirzaev Tashkent State University of Economics, Tashkent, Uzbekistan
  • Kumushbibi Gulomova Tashkent State University of Economics, Tashkent, Uzbekistan
  • Maftuna Bekmirzaeva Tashkent State University of Economics, Tashkent, Uzbekistan

DOI:

https://doi.org/10.37547/ijasr-05-03-13

Keywords:

ERP system, business process automation, investment efficiency

Abstract

As a result of the rapid development of the digital transformation process, ERP (Enterprise Resource Planning) systems are becoming increasingly important for effective management of enterprises. This article analyzes the key performance indicators (KPIs) used to evaluate the success of ERP systems. Recommendations are given on the advantages of ERP systems for enterprises, the results of their implementation, and increasing their effectiveness. The level of success of ERP systems is assessed based on such indicators as financial efficiency, user experience, process automation, and cost optimization. The article also analyzes scientific research and their results for the effective implementation of ERP systems.

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References

1. Nuralievich, B. O., & Boltaevich, M. B. (2021, November). Method of Detection and Elimination of Tracks of Attacks in the Information System. In 2021 International Conference on Information Science and Communications Technologies (ICISCT) (pp. 1-2). IEEE.

2. Nuralievich, B. O., Boltaevich, M. B., & Ugli, B. U. B. (2022, September). The Procedure for Forming a List of Sources of Attack in the Information System. In 2022 International Conference on Information Science and Communications Technologies (ICISCT) (pp. 1-4). IEEE.

3. Bekmirzaev O., Shirinov B. An Algorithm for Viewing Node State Events Under Attack for Information Systems // AIP Conference Proceedings., 2024, 3147(1), 050003. DOI: 10.1063/5.0210404

4. Bekmirzaev O., Samarov H. A Method of Evaluating the Effectiveness of Information System Protection // AIP Conference Proceedings., 2024, 3147(1), 050004. DOI: 10.1063/5.0210405

5. Muminov, B., & Bekmirzaev, O. (2022). Structure and algorithms of online discussion information system. Scientific Collection «InterConf», (114), 373-384.

6. Мўминов, Б., & Бекмирзаев, О. (2022). Построение узлов о событиях под влиянием атаки в информационной системе. Scientific Collection «InterConf», (114), 388-396.

7. Bekmurodov, O. (2023). Ахборот тизимларида ҳужум манбалари рўйхатини шакллантириш процедураси. Digital Transformation and Artificial Intelligence, 1(3), 129-136.

8. Samarov, H. K., & Bekmirzayev, O. N. (2023). Masofaviy oʻqitish tizimlarida mavjud risklar va ularni minimallashtirish istiqbollari. Research and Education, 2(4), 146-155.

9. Bekmirzayeva, M. (2024). Vizuallashtirish tizimlarida yomg‘ir va qor muammolarini tasvirga dastlabgi ishlov berish yordamida bartaraf etish. Digital Transformation and Artificial Intelligence, 2(1), 120-124.

10. Bekmirzayev, O., & Sabirov, X. (2023). “Kompyuter arxitekturasi” fanini о ‘qitish samaradorligini oshirishda zamonaviy pedagogik texnologiyalarning interfaol usullaridan foydalanish. Science and Innovation, 2 (Special Issue 14), 549-551.

11. Muminov, B., Bekmirzaev, O., & Al-Khwarizmi, M. (2022). Classification and analysis of network attacks in the category of “denial of service” information system. central asian journal of education and computer sciences (CAJECS), 1, 7-15.

12. Бекмирзаев О., Турсунов Ж. Алгоритмы системы одностороннего межсетевого взаимодействия и система обнаружения вторжений //Digital Transformation and Artificial Intelligence. – 2023. – Т. 1. – №. 4. – С. 135-145.

13. Axmedova, N., & Bekmirzaev, O. (2022). Analysis of methods of fighting against network attacks of the “denial of service” category on information systems. central asian journal of education and computer sciences (CAJECS), 1, 5.

14. Bekmirzayev, O., & Muminov, B. (2024). The Role and Application of Artificial Intelligence in Identifying Threats to Information Systems. DTAI–2024, 1(DTAI), 85-90.

15. Bekmirzayev, O. (2024). Algorithm for Constructing and Configuring Parameters of a Model for Searching for Traces of Attacks in an Information System. DTAI–2024, 1(DTAI), 171-174.

16. Bekmurodov, O., Usmanbayev, D., & Eshonqulov, N. Z. (2024). Kompyuter tarmoqlarini ddos hujumlaridan himoya qiluvchi dasturiy vositalarning qiyosiy tahlili. Digital Transformation and Artificial Intelligence, 2(2), 46-50.

17. Bekmirzayev, O., & Kumushbibi, G. U. (2024). Korxona tizimlarda ma’lumotlarni saqlash va uzatishda foydalanuvchi maxfiyligi. Digital Transformation and Artificial Intelligence, 2(6), 207-213.

18. Bekmirzayev, O. N., & Bekmirzayeva, M. S. (2016). Recognize faces by the selecting degree of security. In Информатика: проблемы, методология, технологии (pp. 3-7).

19. Ташев, К. А., & Бекмирзаев, О. Н. (2015). К вопросу анализа проблем информационной безопасности. In Информатика: проблемы, методология, технологии (pp. 211-214).

20. Турапов, У. У., & Бекмирзаев, О. Н. (2015). Системный подход при обеспечении информационной безопасности в информационно-библиотечных сетях. In Информатика: проблемы, методология, технологии (pp. 219-224).

21. Beknazarova, S., & Bekmirzaeva, M. (2024). Analysis of Filters for Processing Video Images. DTAI–2024, 1(DTAI), 224-227.

22. Safibullaevna, B. S., Qizi, J. M. K., Shaimardanova, B. M., & Erkinovna, A. M. (2020). Adaptive Method For Eliminating Noise Of Image. The American Journal of Engineering and Technology, 2(12), 59-66.

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Published

2025-03-31

How to Cite

INDICATORS USED TO ASSESS THE SUCCESS OF ERP SYSTEMS. (2025). International Journal of Advance Scientific Research, 5(03), 89-95. https://doi.org/10.37547/ijasr-05-03-13

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