Preview

Accounting. Analysis. Auditing

Advanced search

Analysis of settlements with debtors based on the quality indicatorof turnover.

https://doi.org/10.26794/2408-9303-2024-11-1-50-57

Abstract

The aggravation of relations in the field of global finance, the change of international partners and disruption of international economic relations cause the need to strengthen payment discipline and accelerate payments, which is especially important in the context of the expansion of new associations of states. The consequences of the COVID-19 pandemic have also led to a reduction in the liquidity of organizations and increased the need for funds. Timely repayment of accounts receivable increases the availability of cash to suppliers, and the acceleration of settlements contributes to an increase in available funds, which makes it possible to use them additionally in commercial turnover. The purpose of the study was to improve the system of settlements (based on their turnover) with debtors and rational distribution of the terms of cash refunds using the matrix method. The existing systems for assessing financial and cash flows in settlements with debtors and the indicators used for this purpose do not always express the dependent relationship between the growth of sales revenue, the turnover of accounts receivable and the degree of its repayment. In this regard, the objective of the study was to improve the existing indicators of the analysis of accounts receivable. The article examines the methods of accounts receivable management integrated into the system based on a client- oriented approach. In the course of the work the methods of comparison, statistics, mathematical modeling were used. A system for tracking the balances of accounts receivable, comparing them with sales volumes and turnover indicators is proposed. The author formulated the concept of the cycle of accounts receivable circulation. It is revealed that the use of indicators of turnover of accounts receivable and sales volume do not accurately reflect the quality of repayment of accounts receivable, their interdependence and do not disclose the possibility of additional release of funds from settlements with debtors. To solve this problem, a new indicator has been introduced — the rate of repayment of receivables. An approach is proposed to substantiate the expediency and feasibility of accelerating payments based on the elasticity of revenue or proceeds from the sale of products, works and services to the rate of repayment of receivables. The results of the research were the creation of a system for tracking receivables balances and comparing them with sales volumes and turnover indicators, which can be useful for organisations selling products, works and services under credit agreement to accelerate cash receipts.

About the Author

V. A. Chernov
Nizhny Novgorod State University of N. I. Lobachevsky
Russian Federation

Vladimir A. Chernov — Dr. Sci. (Econ.), Professor of the Department of Finance and Credit of the Institute of Eco-
nomics and Entrepreneurship of the Lobachevsky State University of Nizhny Novgorod, Nizhniy Novgorod



References

1. Fasoula E., Schweikert K. Price Regulations and Price Adjustment Dynamics: Evidence from the Austrian Retail Fuel Market. Journal of Transport Economics and Policy. 2020;54(1):21–39.

2. Chernov V. A. Inconsistency of Market Laws in Price Changes and Price‑forming Attractor. Finansy: teoriya i praktika = Finance: Theory and Practice. 2018;22(2):124–133. (In Russ.). DOI: 10.26794/2587–5671–2018–22–2–124–133

3. Gerasimenko A. Agency motives in transport corporations mergers and acquisitions. Transportation Research Procedia. 2022;(63):21–26. DOI: 10.1016/j.trpro.2022.05.003

4. Yu N., Yu B., Tao H., de Jong W. M. Dynamic causal linkage between road infrastructure and manufacturing agglomeration in Northeast China. International Journal of Transport Economics. 2018;45(2):323–342.

5. Novak D., Wu Zh., Dooley K. Whose resilience matters? Addressing issues of scale in supply chain resilience. Journal of Business Logistics. 2021;42(3):323–335. DOI: 10.1111/jbl.12270

6. Kulyagina E. А. Logistics processes in Russia under sanction restrictions in 2022. Transportnoe delo Rossii = Trans- port business in Russia. 2022;(3):56–58. (In Russ.). DOI: 10.52375/20728689_2022_3_56

7. Pokrovskaya O., Fedorenko R., Musatkina A. The evolution of the logistics ecosystem in the context of COVID‑19. DOI: 10.1016/j.trpro.2022.05.008

8. Chernov V. A. Ecosystem changes in the structure of socio‑economic relations. The World of the New Economy. 2022;16(3):113–124. DOI: 10.26794/2220–6469–2022–16–3–113–124

9. Zhemchugova O., Levshina V., Levshin L. Application of risk‑based approach methods of various levels of complexity in the quality management system of a transport company. Transportation Research Procedia. 2022;(63):1–12. DOI: 10.1016/j.trpro.2022.05.001

10. Karanina E., Selezneva E., Chuchkalova S. Improving the national logistics model on an international scale in the context of the economic crisis. IOP Conference Series: Materials Science and Engineering. England: 2020; IOP Publishing. 012041. DOI: 10.1088/1757–899X/918/1/012041

11. Ilyin S. Y. The finance of modern organizations. Transportnoe delo Rossii = Transport business in Russia. 2022;(3):6–7. (In Russ.). DOI: 10.52375/20728689_2022_3_6

12. Astafeva Y. А., Ribokene E. V., Makovetsky M. Y. Evaluation of methods for forming a client‑oriented strategy. Trans- portnoe delo Rossii = Transport business in Russia. 2022;(3):53–55. (In Russ.). DOI: 10.52375/20728689_2022_3_53

13. Pessot E., Zangiacomi A., Marchiori I., Fornasiero R. Empowering supply chains with Industry 4.0 technologies to face megatrends. Journal of Business Logistics. 2023;44(4):609–640. DOI: 10.1111/jbl.12360

14. Hofer C., D’Oria L., Cantor D., Ren X. Competitive actions and supply chain relationships: How suppliers’ value‑ diminishing actions affect buyers’ procurement decisions. Journal of Business Logistics. 2023;44(4):719–740. DOI: 10.1111/jbl.12357

15. Ishfaq R., Darby J., Gibson B. Adapting the retail business model to omnichannel strategy: A supply chain management perspective. Journal of Business Logistics. 2023; May:1–28. DOI: 10.1111/jbl.12352

16. Krasnikova A. S., Podolskiy A. G., Mikhalkin A. On the question of resource management in the interests of realizing the life cycle of a sample of high‑tech products. Transportnoe delo Rossii = Transport business in Russia. 2022;(3):77– 81. (In Russ.). DOI: 10.52375/20728689_2022_3_77

17. Barchukov A. V. Short‑term financial policy. Khabarovsk: Far Eastern State Transport University; 2006. 218 p.

18. Chernov V. A. Accounts receivable management in transport organizations. E 3S Web of Conferences. 2023;(376):7. DOI: 10.1051/e3sconf/202337604012

19. Nachtmann H., Waller M. A., Rieske D. W. The Impact of Point‑of‑Sale Data Inaccuracy and Inventory Record Data Errors. Journal of Business Logistics. 2010;31(1):149–158. DOI: 10.1002/j.2158–1592.2010.tb00132.x

20. Griffis S., Cooper M., Goldsby T., Closs D. Performance Measurement: Measure Selection Based Upon Firm Goals and Information Reporting Needs. Journal of Business Logistics. 2004;25(2):95–118. DOI: 10.1002/j.2158–1592.2004. tb00183.x

21. Pavlova E. I. Model of promising service in transport for Internet trade service. Transportnoe delo Rossii = Transport business in Russia. 2020;(1):100–102. (In Russ.).

22. Chernov V. A. Information systems of commercial analysis and management. Programmnye produkty i sistemy = Soft- ware products and systems. 2000;(1):5. (In Russ.).

23. Golicic S. L., Foggin J. H., Mentzer J. T. Relationship Magnitude and Its Role in Interorganizational Relationship Structure. Journal of Business Logistics. 2003;(24):57–75. DOI: 10.1002/j.2158–1592.2003.tb00032.x

24. Bychkova S. M., Shvets O. V. Digital Technologies: New Reality of Counterparty Reliability. Uchet. Analiz. Audit = Ac- counting. Analysis. Audit. 2022;9(5):43–55. (In Russ.) DOI: 10.26794/2408–9303–2022–9–5–43–55


Review

For citations:


Chernov V.A. Analysis of settlements with debtors based on the quality indicatorof turnover. Accounting. Analysis. Auditing. 2024;11(1):50-57. (In Russ.) https://doi.org/10.26794/2408-9303-2024-11-1-50-57

Views: 368


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


ISSN 2408-9303 (Print)
ISSN 2619-130X (Online)