+7 925 966 4690, 9am6pm (GMT+3), Monday – Friday
ИД «Финансы и кредит»

JOURNALS

  

FOR AUTHORS

  

SUBSCRIBE

    
Economic Analysis: Theory and Practice
 

A methodology for applying modern information technologies in the economic analysis of organization's risks

Vol. 19, Iss. 2, FEBRUARY 2020

PDF  Article PDF Version

Received: 11 December 2019

Received in revised form: 16 January 2020

Accepted: 4 February 2020

Available online: 28 February 2020

Subject Heading: THEORY OF ECONOMIC ANALYSIS

JEL Classification: C8, D81, L86, M21, M4

Pages: 268–285

https://doi.org/10.24891/ea.19.2.268

Mitrovic S. University of Novi Sad, Novi Sad, Republic of Serbia
Mitrovic.Stanislav@hotmail.com

https://orcid.org/0000-0003-0664-7270

Suits V.P. Lomonosov Moscow State University, Moscow, Russian Federation
viktor.suyts@gmail.com

ORCID id: not available

Subject The article examines theoretical, methodological and practical aspects of applying modern methods and information technologies to improve the economic risk analysis of organizations. Special attention is focused on internal audit and control, in particular, on the self-assessment procedure, being an innovative tool for monitoring and assessing risks to identify and minimize them within the corporate governance system.
Objectives The purpose is to study possibilities for improving the methodology for economic risk analysis of organizations through modern information technologies, innovative tools, and mathematical models.
Methods The study rests on methods of quantitative, qualitative analysis, popular scientific and empirical research in the field of economic sciences, including comparative, structural and functional methods of economic analysis, the desk study, methods of expert assessments, situation analysis, statistical assessment, testing parameters, etc.
Results The offered methodology is aimed at risk assessment and risk analysis of organizations. The results of the study contribute to the implementation of new tools of internal control, audit and analysis, in particular, the self-assessment procedure and the coefficient of reliability of results, which have a positive impact on efficient risk management and the enhancement of investment appeal of organizations.
Conclusions The automation of the risk analysis process and selected procedures and techniques should create conditions for a logical transition to more accurate (as compared to currently prevailing in practice) quantitative measurement methods, and for building the mathematical models that make it possible to predict and obtain results based on empirical data rather than on expert estimates.

Keywords: risk analysis, self-assessment, confidence factor, risk matrix

References:

  1. Kiseleva I.A., Simonovich N.E. [Risk assessment in business: Business risk]. Finansovaya analitika: problemy i resheniya = Financial Analytics: Science and Experience, 2017, vol. 10, iss. 3, pp. 244–257. (In Russ.) URL: Link
  2. Vovchenko N.G., Holina M.G., Orobinskiy A.S., Sichev R.A. Ensuring Financial Stability of Companies on the Basis of International Experience in Construction of Risks Maps, Internal Control and Audit. European Research Studies, 2017, vol. 20, iss. 1, pp. 350–368. URL: Link
  3. Kogdenko V.G. [Investigating company risks within the framework of the stakeholder approach to analysis]. Ekonomicheskii analiz: teoriya i praktika = Economic Analysis: Theory and Practice, 2018, vol. 17, iss. 6, pp. 1051–1072. (In Russ.) URL: Link
  4. Brazel J. The Outcome Effect and Professional Skepticism. Current Issues in Auditing, 2019, vol. 13, iss. 1, pp. 7–16. URL: Link
  5. Ertac S., Gümren M., Koçkesen L. Strategic Feedback in Teams: Theory and Experimental Evidence. Journal of Economic Behavior & Organization, 2019, vol. 162, pp. 1–23. URL: Link
  6. Graham L., Bedard J.C., Dutta S.K. Managing Group Audit Risk in a Multicomponent Audit Setting. Current Issues in Auditing, 2018, vol. 12, iss. 2, pp. 1–6. URL: Link
  7. Tereshchenko E.Y., Koryagina I., Rudenko M.N. et al. Methodological Basis of Business Value Estimation. International Journal of Applied Business and Economic Research, 2017, vol. 15, iss. 11, pp. 11–18. URL: Link
  8. Hubbard L. Control Self-Assessment: A Practical Guide. Institute of Internal Auditors, 2000, 105 p.
  9. Li M., Yang J.B. A Decision Model for Self-Assessment of Business Process Based on the EFQM Excellence Model. International Journal of Quality & Reliability Management, 2003, vol. 20, iss. 2, pp. 164–188. URL: Link
  10. McKeever J. McKeever CCSA Study System. N.Y., Pleier Corporation, 2007.
  11. Khakhanaev U.S.-E. [Studying risk-reducing factors in investment project financing]. Finansy i kredit = Finance and Credit, 2019, vol. 25, iss. 9, pp. 2167–2178. (In Russ.) URL: Link
  12. Eroshkin S.Yu., Kameneva N.A., Kovkov D.V., Sukhorukov A.I. Conceptual System in the Modern Information Management. Procedia Computer Science, 2017, no. 103, pp. 609–612. URL: Link
  13. Maron M.A. Diagnostics of Projects. European Research Studies Journal, 2018, vol. 21, iss. 1, pp. 18–30. URL: Link
  14. Bruskin S.N., Brezhneva A.N., Dyakonova L.P. et al. Business Performance Management Models Based on the Digital Corporation's Paradigm. European Research Studies Journal, 2017, vol. 20, iss. 4A, pp. 264–274. URL: Link
  15. Sinyavskii N.G. [Reducing the uncertainty through analysis of the system structure]. Finansovaya analitika: problemy i resheniya = Financial Analytics: Science and Experience, 2019, vol. 12, iss. 2, pp. 128–149. (In Russ.) URL: Link
  16. Frolov D.P., Lavrent'eva A.V. [Digital economy as a subject of regulation: The institutional theory perspective]. Ekonomicheskii analiz: teoriya i praktika = Economic Analysis: Theory and Practice, 2019, vol. 18, iss. 11, pp. 2044–2058. (In Russ.) URL: Link
  17. Bogatyrev S.Yu. [Analytical possibilities of modern information systems in implementation of income approach to business valuation]. Finansovaya analitika: problemy i resheniya = Financial Analytics: Science and Experience, 2018, vol. 11, iss. 1, pp. 43–61. (In Russ.) URL: Link
  18. Kitova O.V., Savinova V.M. et al. Information-Analytical System for Forecasting Indicators of the Social and Economic Sphere of the Russian Federation. European Research Studies Journal, 2017, vol. 20, iss. 4A, pp. 275–283. URL: Link
  19. Troshani I., Locke J., Rowbottom N. Transformation of Accounting Through Digital Standardization: Tracing the Construction of the IFRS Taxonomy. Accounting, Auditing & Accountability Journal, 2019, vol. 32, iss. 1, pp. 133–162. URL: Link

View all articles of issue

 

ISSN 2311-8725 (Online)
ISSN 2073-039X (Print)

Journal current issue

Vol. 23, Iss. 4
April 2024

Archive