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/10.71337/inlibrary.uz.ijasr.131885

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.


background image

Volume 05 Issue 03-2025

89



International Journal of Advance Scientific Research
(ISSN

2750-1396)

VOLUME

05

ISSUE

03

Pages:

89-95

OCLC

1368736135




















































A

BSTRACT

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.

K

EYWORDS

ERP system, KPI, business process automation, investment efficiency, user experience, data reliability.

I

NTRODUCTION

In the modern world, where the process of digital transformation is rapidly developing, ERP (Enterprise
Resource Planning) systems are becoming an integral part of effective business management. Enterprises
widely use ERP systems to adapt to market demands, optimize costs, and make data-driven strategic

Journal

Website:

http://sciencebring.co
m/index.php/ijasr

Copyright:

Original

content from this work
may be used under the
terms of the creative
commons

attributes

4.0 licence.

Research Article

INDICATORS USED TO ASSESS THE SUCCESS OF ERP
SYSTEMS


Submission Date:

January 29,

2025,

Accepted Date:

February 28, 2025,

Published Date:

March 31, 2025

Crossref doi:

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


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


background image

Volume 05 Issue 03-2025

90



International Journal of Advance Scientific Research
(ISSN

2750-1396)

VOLUME

05

ISSUE

03

Pages:

89-95

OCLC

1368736135
















































decisions. In today's global economic conditions, companies rely on ERP systems to optimize production
processes, improve the quality of customer service, and maintain competitiveness. ERP solutions
integrated with remote work format, cloud technologies, and artificial intelligence provide organizations
with fast and efficient management capabilities. The success of ERP systems is manifested, first of all, in
achieving effective management and optimization of the enterprise's business processes. They improve
information exchange between different departments, accelerate and make decision-making processes
more precise. ERP systems also allow reducing operating costs, efficient use of resources, and automation
of production processes.

In addition, a user-friendly interface and ease of use of the system are also important factors determining
its success. As a result of the adaptation of employees to the system and its effective use, labor productivity
increases. ERP systems also serve to improve the quality of customer service, strengthening the
competitiveness of the enterprise.

In general, the success of the ERP system depends on its compliance with the needs of the business, its
effective operation, and the fact that it brings real benefits to the organization. A properly selected and
implemented ERP system contributes significantly to the development of the enterprise. Evaluating the
success of ERP systems is important for analyzing their achievement of expected results, investment
efficiency, and impact on business processes. Therefore, organizations strive to maximize the benefits of
ERP systems by conducting real-time monitoring and evaluating results based on KPI (Key Performance
Indicators

“Key Performance Indicators”) [1].

A number of scientific studies devoted to the study of the success of ERP systems have been conducted by
scientists, there are topics of scientific research close to the topic of this study. Below are some of the
research papers on this topic:

Advantages of Using ERP Systems in Raw Material Inventory Management: This article examines the
importance and advantages of ERP systems in raw material inventory management. ERP systems play an
important role in automating the process of managing raw material reserves, increasing efficiency, and
proper data analysis [2].

Advantages of Using ERP Systems in Supply Chain Management: This article provides information about
ERP systems and analyzes their application and advantages in supply chain management. ERP systems
allow managing enterprise processes such as finance, supply, production, personnel management, sales,
and service provision through a single platform [3].

Issues of increasing management efficiency and ensuring economic security through the use of digital
technologies in enterprise management: This article extensively covers the development trends of digital


background image

Volume 05 Issue 03-2025

91



International Journal of Advance Scientific Research
(ISSN

2750-1396)

VOLUME

05

ISSUE

03

Pages:

89-95

OCLC

1368736135
















































technologies, the possibilities of ensuring economic security and increasing management efficiency
through their use in the management system of industrial enterprises [4].

These studies are aimed at studying the application of ERP systems in various fields and the factors of their
success. The successful implementation of ERP systems plays an important role in increasing the efficiency
of enterprises, optimal resource management, and ensuring competitiveness.

M

ETHODS

To assess the success of ERP systems, enterprises use various key performance indicators (KPIs). These
indicators allow for accurate measurement and analysis of the effectiveness of the results achieved through
the ERP system. The most important KPIs and their significance are analyzed below [5,6]:

1. Financial indicators - after the implementation of the ERP, it is necessary to analyze the decrease in costs,
increase in revenues, and return on investment (Return on Investment - ROI);

2. Operational efficiency - an assessment of the reduction in the time of production or provision of services
as a result of the automation of work processes;

3. User accessibility - The level of employee use of the ERP system and their level of satisfaction is an
important factor;

4. Customer satisfaction - the speed of order fulfillment, the quality of customer service, and the customer's
attitude towards the advantages arising from the ERP system are assessed;

5. Data accuracy and reliability - the level of accuracy of data entered through the ERP system and the
number of errors occurring in the system are controlled.

Based on this analysis, it is advisable to develop the following proposals [7,8]:

1. Assessment of the ERP system's suitability for needs - it is necessary to conduct a detailed analysis of its
suitability for the needs of the company before implementing ERP;

2. Personnel Training and Training - it is recommended to conduct regular training for employees for the
effective use of the ERP system;

3. Continuous improvement of the ERP system - the ERP system must adapt to changes in the needs of the
enterprise, therefore regular monitoring and optimization should be carried out;


background image

Volume 05 Issue 03-2025

92



International Journal of Advance Scientific Research
(ISSN

2750-1396)

VOLUME

05

ISSUE

03

Pages:

89-95

OCLC

1368736135
















































4. Automation of the KPI system - it is recommended to use analytical tools to automate the process of
assessing the success of the ERP system. By assessing and improving the success of ERP systems,
enterprises can increase efficiency, optimally manage resources, and achieve strategic goals faster.

R

ESULTS AND

D

ISCUSSION

ERP systems serve to increase efficiency by integrating and automating various business processes of
enterprises. However, to assess the success of the implementation of these systems, it is necessary to
establish specific KPIs. Below are the main indicators used to measure the success of ERP systems
implementation [9,10]:

1. Project timeliness: It is important to assess the completion of the ERP implementation project within the
established timeframe. If the project is delayed, this can lead to additional costs and excessive resource
consumption.

2. Compliance with the budget: The implementation of the project within the established budget is an
important indicator of its success. Exceeding the budget can indicate incorrect planning of financial
resources or unexpected problems.

3. User-friendliness: The level of employee satisfaction with the new ERP system is an important indicator
of the project's success. For users to accept the system and use it effectively, it must meet their needs and
requirements.

4. Efficiency of business processes: After the implementation of the ERP system, an increase in the speed
and efficiency of business processes is expected. For example, order processing time can be reduced or
inventory processes can be simplified.

5. Data accuracy and reliability: The accuracy and reliability of data entered and received through the ERP
system should be increased. This will help improve decision-making processes.

6. Cost reduction: After the implementation of the ERP system, a reduction in operating costs is expected.
For example, labor costs can be reduced as a result of the automation of manual work.

7. Customer satisfaction: The ERP system should improve the quality of customer service. This is achieved
by fulfilling customer orders faster and more accurately, as well as by improving customer communication
processes.


background image

Volume 05 Issue 03-2025

93



International Journal of Advance Scientific Research
(ISSN

2750-1396)

VOLUME

05

ISSUE

03

Pages:

89-95

OCLC

1368736135
















































8. Flexibility and scalability: The ERP system should be able to adapt to changing business needs and
expand in the future. This allows you to update and expand the system in accordance with the growth and
development of the company.

9. Number of errors and failures: After the system is implemented, the number of errors and failures
occurring in its operation is monitored. Their reduction indicates the stability and reliability of the system.

The KPIs used to evaluate the success of ERP systems can be expressed using mathematical expressions as
follows:

1.

Investment efficiency (ROI - Return on Investment):

ROI =

(𝐸𝑅𝑃 𝑃𝑟𝑜𝑓𝑖𝑡 − 𝐸𝑅𝑃 𝐶𝑜𝑠𝑡𝑠)

(𝐸𝑅𝑃 𝐶𝑜𝑠𝑡𝑠)

× 100%

This indicator is used to assess the economic benefits of the ERP system.
2.

Process Efficiency:

PE =

𝐸𝑅𝑃 𝑝𝑟𝑜𝑐𝑒𝑠𝑠 𝑡𝑖𝑚𝑒 𝑎𝑓𝑡𝑒𝑟 𝑖𝑚𝑝𝑙𝑒𝑚𝑒𝑛𝑡𝑎𝑡𝑖𝑜𝑛

𝑃𝑟𝑜𝑐𝑒𝑠𝑠 𝑡𝑖𝑚𝑒 𝑏𝑒𝑓𝑜𝑟𝑒 𝐸𝑅𝑃

× 100%

If the result is below 100%, the ERP system is considered to have accelerated the processes.
3.

UserSatisfaction:

US =

𝑁𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 𝑠𝑎𝑡𝑖𝑠𝑓𝑖𝑒𝑑 𝑢𝑠𝑒𝑟𝑠

𝑇𝑜𝑡𝑎𝑙 𝑛𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 𝑜𝑟𝑑𝑒𝑟𝑠

× 100%

This indicator helps to assess the level of user satisfaction with the ERP system.
4.

Order Fulfillment Rate:

OFR =

𝑁𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 𝑐𝑜𝑚𝑝𝑙𝑒𝑡𝑒𝑑 𝑜𝑟𝑑𝑒𝑟𝑠 𝑜𝑛 𝑡𝑖𝑚𝑒

𝑇𝑜𝑡𝑎𝑙 𝑜𝑟𝑑𝑒𝑟𝑠

× 100%

The ERP system is used to measure the effectiveness of customer service.
5.

Data Accuracy:

DA =

𝑁𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 𝑐𝑜𝑟𝑟𝑒𝑐𝑡 𝑑𝑎𝑡𝑎 𝑖𝑛 𝑡ℎ𝑒 𝐸𝑅𝑃 𝑠𝑦𝑠𝑡𝑒𝑚

𝑇𝑜𝑡𝑎𝑙 𝑛𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 𝑒𝑛𝑡𝑒𝑟𝑒𝑑 𝑑𝑎𝑡𝑎

× 100%

Indicates the level of accuracy of the data managed through the ERP system. These KPIs are important in
assessing the effectiveness of ERP systems and making decisions on their improvement.

Based on the above indicators, the success of the ERP implementation project will be assessed. For each
indicator, specific goals should be set and monitored regularly. This allows the company to maximize the
benefits of the ERP system and continuously improve business processes.

C

ONCLUSION

ERP systems play an important role in the effective management of enterprises and optimization of
business processes. The implementation of the ERP system within the planned timeframe and budget, as


background image

Volume 05 Issue 03-2025

94



International Journal of Advance Scientific Research
(ISSN

2750-1396)

VOLUME

05

ISSUE

03

Pages:

89-95

OCLC

1368736135
















































well as the high level of user utilization of the system, are also important indicators of its success. Also, as
a result of business process automation, increased labor productivity, reduced operating costs, and
improved customer service quality reflect the expected results of the ERP system. The accuracy and
reliability of the information provided by the system serve to accelerate decision-making processes and
ensure effective management. Therefore, to implement and maximize the use of ERP systems, it is
necessary to constantly update the system, train employees, and monitor key performance indicators
(KPI). A properly selected and effectively managed ERP system can bring real profit to the enterprise and
serve to increase its competitiveness. Based on this analysis, 9 key indicators were developed, which are
used to measure the success of ERP systems.

R

EFERENCES

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 Collect

ion «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 oʻqi

tish 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.


background image

Volume 05 Issue 03-2025

95



International Journal of Advance Scientific Research
(ISSN

2750-1396)

VOLUME

05

ISSUE

03

Pages:

89-95

OCLC

1368736135
















































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.

References

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.

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.

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

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

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

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

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

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

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.

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.

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.

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.

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.

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

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.

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.

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

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

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

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).

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

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.