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Audit and Early Warning of Accounts Receivable and Payable under the Financial Sharing Mode Based on Mobile Computing

Published: 14 March 2022 Publication History

Abstract

With the continuous development of the Chinese economy and the intensification of economic globalization, enterprise groups have established financial sharing centers one after another, and the auditing of accounts receivable and payable based on mobile computing is also particularly important. Good audit early warning can make the company's internal management more standardized, more conducive to risk control, and meet the company's financial management requirements and business development requirements. The purpose of this article is to study the audit and early warning of accounts receivable and payable under the financial sharing model based on mobile computing. This article focuses on the financial sharing mode and the early warning of the accounts receivable and payable audit of the enterprise under the financial sharing mode. Taking the enterprise group A as an example, it introduces the construction of the financial sharing center of the enterprise group and explores the problems in the audit process. In response to these problems, the design of an early-warning model for corporate accounts receivable and payable audit under the financial sharing model based on mobile computing is proposed. According to the survey data, 83 employees of Enterprise A did not understand the audit process of accounts receivable and payable under the financial sharing mode, accounting for 43.68%, 40 employees generally knew, accounting for 21.05%, and only 28 employees were very familiar with it, accounted for 14.74%. This shows that the employees of a company are not aware of the audit warning of accounts receivable and payable, so it is difficult for the audit warning to achieve the expected effect.

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Cited By

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  • (2024)Application of Accounts Receivable and Payable Audit Early Warning Model of Random Forest AlgorithmProceedings of Innovative Computing 2024, Vol. 210.1007/978-981-97-4125-0_33(333-338)Online publication date: 24-Jun-2024
  • (2022)Construction of Financial Early Warning System based on Binary Time Series Algorithm2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)10.1109/ICATIECE56365.2022.10047338(1-5)Online publication date: 16-Dec-2022

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cover image ACM Other conferences
AIAM2021: 2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture
October 2021
3136 pages
ISBN:9781450385046
DOI:10.1145/3495018
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 14 March 2022

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View all
  • (2024)Application of Accounts Receivable and Payable Audit Early Warning Model of Random Forest AlgorithmProceedings of Innovative Computing 2024, Vol. 210.1007/978-981-97-4125-0_33(333-338)Online publication date: 24-Jun-2024
  • (2022)Construction of Financial Early Warning System based on Binary Time Series Algorithm2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)10.1109/ICATIECE56365.2022.10047338(1-5)Online publication date: 16-Dec-2022

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