{"title":"信息环境下债务人财务责任的前瞻性分析","authors":"L. Sungatullina, Il'mira R. Badgutdinova","doi":"10.24891/IA.24.1.72","DOIUrl":null,"url":null,"abstract":"Subject. This article deals with the issues of receivables management on the basis of a prospective assessment of the financial solvency of potential counterparties. Objectives. The article aims to develop methodological approaches to the management of receivables when checking the counterparty for reliability by identifying the existence of a statistically significant relationship between the quick liquidity ratio and impact factors. Methods. For the study, we used the methods of analysis and synthesis, generalization and comparison, logical and systemic reasoning, and stochastic analysis. Results. The article proposes a developed methodology of prospective assessment of the financial soundness of counterparties on the basis of special tools of the Gretl software. The methodology is a way to manage an organization's receivables by providing prospective and estimated information at the contract stage to minimize potential risks when executing agreements. Conclusions. The proposed algorithm of prospective assessment of the creditworthiness of counterparties will help reduce the risk of non-repayment of receivables and develop minimum requirements, which the counterparty must meet in order to obtain a loan. The results of the study can be applied in the organization's practical activities as part of the development of receivables management activities.","PeriodicalId":42055,"journal":{"name":"Intelligenza Artificiale","volume":"22 1","pages":"72-93"},"PeriodicalIF":1.9000,"publicationDate":"2021-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A prospective analysis of the financial responsibility of debtors in the information environment\",\"authors\":\"L. Sungatullina, Il'mira R. Badgutdinova\",\"doi\":\"10.24891/IA.24.1.72\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Subject. This article deals with the issues of receivables management on the basis of a prospective assessment of the financial solvency of potential counterparties. Objectives. The article aims to develop methodological approaches to the management of receivables when checking the counterparty for reliability by identifying the existence of a statistically significant relationship between the quick liquidity ratio and impact factors. Methods. For the study, we used the methods of analysis and synthesis, generalization and comparison, logical and systemic reasoning, and stochastic analysis. Results. The article proposes a developed methodology of prospective assessment of the financial soundness of counterparties on the basis of special tools of the Gretl software. The methodology is a way to manage an organization's receivables by providing prospective and estimated information at the contract stage to minimize potential risks when executing agreements. Conclusions. The proposed algorithm of prospective assessment of the creditworthiness of counterparties will help reduce the risk of non-repayment of receivables and develop minimum requirements, which the counterparty must meet in order to obtain a loan. The results of the study can be applied in the organization's practical activities as part of the development of receivables management activities.\",\"PeriodicalId\":42055,\"journal\":{\"name\":\"Intelligenza Artificiale\",\"volume\":\"22 1\",\"pages\":\"72-93\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2021-01-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Intelligenza Artificiale\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.24891/IA.24.1.72\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Intelligenza Artificiale","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24891/IA.24.1.72","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
A prospective analysis of the financial responsibility of debtors in the information environment
Subject. This article deals with the issues of receivables management on the basis of a prospective assessment of the financial solvency of potential counterparties. Objectives. The article aims to develop methodological approaches to the management of receivables when checking the counterparty for reliability by identifying the existence of a statistically significant relationship between the quick liquidity ratio and impact factors. Methods. For the study, we used the methods of analysis and synthesis, generalization and comparison, logical and systemic reasoning, and stochastic analysis. Results. The article proposes a developed methodology of prospective assessment of the financial soundness of counterparties on the basis of special tools of the Gretl software. The methodology is a way to manage an organization's receivables by providing prospective and estimated information at the contract stage to minimize potential risks when executing agreements. Conclusions. The proposed algorithm of prospective assessment of the creditworthiness of counterparties will help reduce the risk of non-repayment of receivables and develop minimum requirements, which the counterparty must meet in order to obtain a loan. The results of the study can be applied in the organization's practical activities as part of the development of receivables management activities.