CN111401737A - Enterprise financial management risk identification system - Google Patents

Enterprise financial management risk identification system Download PDF

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CN111401737A
CN111401737A CN202010181609.9A CN202010181609A CN111401737A CN 111401737 A CN111401737 A CN 111401737A CN 202010181609 A CN202010181609 A CN 202010181609A CN 111401737 A CN111401737 A CN 111401737A
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王修艳
钱大卫
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Hefei Shendu Financial Management Consulting Co ltd
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Abstract

The invention discloses an enterprise financial management risk identification system which comprises a financial risk factor extraction module, a balance statistics module, a report statistics acquisition module, a financial data analysis module, a data model construction module, a storage database, a risk input module, a financial risk identification module and a display terminal. According to the enterprise financial management risk identification system provided by the invention, the enterprise financial comprehensive risk coefficient of the enterprise financial by each financial risk factor is comprehensively analyzed by inputting the financial risk factors corresponding to the current enterprise through establishing the income mismatching times, the income matching times, the expense mismatching times and the proportional numerical range corresponding to each risk factor under the expense matching times and the risk level model corresponding to the proportional numerical range, so that enterprise managers can visually identify the current enterprise financial risk degree, and reliable data support is provided for enterprise development.

Description

Enterprise financial management risk identification system
Technical Field
The invention belongs to the technical field of enterprise financial risk identification, and relates to an enterprise financial management risk identification system.
Background
Corporate financial risk refers to the possibility of a corporation incurring losses due to uncertainty in the financial position over the course of each financial activity, due to various unforeseen or uncontrolled factors. According to the main links of financial activities, the method can be divided into liquidity risks, credit risks, financing risks and investment risks.
At present, most enterprises identify financial risks through manual accounting of financial conditions, and can not obtain enterprise financial risks according to financial influencing factors, so that the enterprise financial conditions can not be effectively and accurately identified in risk, and meanwhile, risk coefficients of the enterprises under the current financial risk influencing factors can not be combined, so that in case of the enterprise financial risks, the development of the enterprises can be influenced, and in order to solve the problems, an enterprise financial management risk identification system is designed.
Disclosure of Invention
The invention aims to provide an enterprise financial management risk identification system, which solves the problems that risk identification cannot be performed on enterprise finance by risk factors in the existing enterprise financial risk identification process, the detection accuracy is poor and the detection precision is low by establishing income unmatched times, income matched times, expenditure unmatched times and a proportional numerical range corresponding to each risk factor under the expenditure matched times and a risk level model corresponding to the proportional numerical range and comprehensively analyzing enterprise financial comprehensive risk coefficients of each financial risk factor to the enterprise finance by inputting the financial risk factors corresponding to the current enterprise.
The purpose of the invention can be realized by the following technical scheme:
an enterprise financial management risk identification system comprises a financial risk factor extraction module, a balance statistics module, a report statistics acquisition module, a financial data analysis module, a data model construction module, a storage database, a risk input module, a financial risk identification module and a display terminal;
the financial risk identification module is respectively connected with the financial data analysis module, the risk input module, the storage database, the data model construction module and the display terminal, and the storage database is respectively connected with the financial risk factor extraction module and the data model construction module;
the financial risk factor extraction module is used for collecting and extracting factors causing financial risk in the enterprise financial management process and sending the extracted financial risk factors to the storage database;
the income and expenditure statistical module is used for acquiring all income and expenditure amounts in each month in real time and sending financial information of the income and expenditure to the financial data analysis module;
the report statistics acquisition module is used for acquiring financial information on the financial report list of each month, extracting the financial information on the financial report of each month, and sending the financial information on the financial report to the financial data analysis module;
the financial data analysis module is used for receiving the income and expense financial information sent by the income and expense statistics module, receiving the financial information on the financial statement sent by the statement statistics acquisition module, comparing the income and expense financial information with the financial information on the financial statement one by one, counting the times of unmatched income, matched income, unmatched expense and matched expense, and sending the times of unmatched income, matched income, unmatched expense and matched expense to the financial risk identification module and the storage database respectively;
the data model building module is used for inputting the ratio of the income unmatched times to the income matched times and the ratio of the expenditure unmatched times to the expenditure matched times under different financial risk factors, different proportional numerical ranges correspond to different risk levels according to the proportional numerical ranges between the ratio of the income unmatched times to the income matched times and the ratio of the expenditure unmatched times to the expenditure matched times, and the proportional numerical ranges between the ratio of the income unmatched times to the income matched times and the ratio of the expenditure unmatched times to the expenditure matched times and the corresponding different risk levels under each financial risk factor are sent to the storage database and the financial risk identification module;
the storage database is used for storing the number of times of unmatched income, the number of times of matched income, the number of times of unmatched expenditure and the number of times of matched expenditure which are sent by the financial data analysis module, and storing a proportional numerical range between the ratio of the number of unmatched income to the number of times of matched income and the ratio of unmatched expenditure to the number of times of matched expenditure under the financial risk factors sent by the data module and different risk grade coefficients corresponding to the proportional numerical range, and storing the financial risk factors;
the risk input module is used for inputting current risk factors and sending the input risk factors to the risk factor identification module;
the financial risk identification module is used for receiving the times of unmatched income, income matched times, unmatched expenditure and matched expenditure sent by the financial data analysis module, counting the received times of unmatched income, income matched times, unmatched expenditure and matched expenditure according to the financial risk factors, and obtaining a income unmatched times set B (B) under each financial risk factor1,b2,..., bi.,. bn), revenue match times set B '(B'1,b′2,., b 'i, b' n), the number of dismatching expenditures C (C)1,c2,..., ci.., cn), the outlay match set C '(C'1,c′2,.., c 'i., c' n), bi is expressed as the number of income mismatches under the ith financial risk factor, b 'i is expressed as the number of income matches under the ith financial risk factor, ci is expressed as the number of expenditure mismatches under the ith financial risk factor, and c' i is expressed as the number of expenditure matches under the ith financial risk factor;
the financial risk identification module is used for receiving the current risk factors of the enterprise sent by the risk input module, comparing the input current risk factors of the enterprise with financial risk factors stored in a storage database, determining the risk factors, counting the matching proportion statistical coefficients corresponding to the risk factors of the enterprise, extracting the risk level coefficients corresponding to the proportion value range, counting the current financial comprehensive risk coefficients of the enterprise according to the matching proportion statistical coefficients and the risk level coefficients corresponding to the risk factors of the enterprise, and sending the current financial comprehensive risk coefficients of the enterprise and the risk factors to the display terminal;
and the display terminal is used for receiving the enterprise financial comprehensive risk factor and the enterprise current risk factor which are sent by the financial risk identification module and are under the comprehensive influence of the current risk factor, and displaying the enterprise financial comprehensive risk factor and the enterprise current risk factor.
Further, the financial information on the financial statement comprises a financial type, an object name and time, the financial type comprises income amount and expenditure amount, and the object name comprises a roll-in business name and a roll-out business name.
Further, the ratio value ranges are 0-0.1,0.1-0.2,0.2-0.5,0.5-1, > 1, and the risk grade coefficients corresponding to each ratio value range are K1, K2, K3, K4, K5, and K1 < K2 < K3 < K4 < K5, and K1+ K2+ K3+ K4+ K5 are 1.
Further, when the number of the current influence factors of the enterprise is 1, extracting the income mismatching times, income matching times, expenditure mismatching times and expenditure matching times corresponding to the risk factors, and counting the matching proportion statistical coefficient corresponding to the financial risk factors
Figure BDA0002412716440000041
Judging a proportion numerical range corresponding to the matching proportion statistical coefficient in a storage database, extracting risk grade coefficients gamma i, gamma i ∈ K1, K2, K3, K4 and K5 corresponding to the proportion numerical range, and if the number of the current risk factors of the enterprise is 1, determining the current financial comprehensive risk coefficient of the enterprise
Figure BDA0002412716440000042
Wherein bi represents the income mismatching times under the ith financial risk factor, b 'i represents the income matching times under the ith financial risk factor, ci represents the expenditure mismatching times under the ith financial risk factor, c' i represents the expenditure matching times under the ith financial risk factor, and gamma i represents the matching proportion statistical coefficient βiCorresponding risk rating coefficient, βiAnd expressing the statistical coefficient of the matching proportion corresponding to the ith financial risk factor.
Further, when the number of the current risk factors of the enterprise is more than 1, ranking the current risk factors of the enterpriseThe financial risk identification module is used for counting the enterprise financial comprehensive risk coefficient coefficients under the comprehensive influence of the current risk factors of the enterprise, wherein the enterprise financial comprehensive risk coefficient coefficients are respectively E1, E2, a, Ef, E1, E2, a, Ef belong to a1, a2, a, an, and extract E1, E2, a
Figure BDA0002412716440000051
E1, E2.., Ef respectively belong to one of a1, a 2.., an, g ∈ E1, E2, E3, E4, E5, βgExpressed as the matching proportion statistical coefficient corresponding to the g-th financial risk factor, and gamma g is expressed as the matching proportion statistical coefficient βgCorresponding risk rating coefficient.
The invention has the beneficial effects that:
according to the enterprise financial management risk identification system provided by the invention, the enterprise financial comprehensive risk coefficient of the financial risk factors on the enterprise financial is comprehensively analyzed by inputting the financial risk factors corresponding to the current enterprise through establishing the income unmatched times, the income matched times, the expense unmatched times and the proportional numerical range corresponding to the risk factors under the expense matched times and the risk level model corresponding to the proportional numerical range, so that enterprise managers can visually identify the current enterprise financial risk degree, reliable data support is provided for enterprise development, and the enterprise financial risk identification system has the characteristics of high enterprise financial risk identification accuracy and high precision.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of an enterprise financial management risk identification system according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an enterprise financial management risk identification system includes a financial risk factor extraction module, a balance statistics module, a report statistics acquisition module, a financial data analysis module, a data model construction module, a storage database, a risk input module, a financial risk identification module, and a display terminal;
the financial data analysis module is respectively connected with the balance and balance statistics module, the report statistics acquisition module and the storage database, the financial risk identification module is respectively connected with the financial data analysis module, the risk input module, the storage database, the data model construction module and the display terminal, and the storage database is respectively connected with the financial risk factor extraction module and the data model construction module.
The financial risk factor extraction module is used for collecting and extracting factors causing financial risks in the enterprise financial management process, sending the extracted financial risk factors to the storage database, and successively dividing the financial risk factors according to priority levels, wherein the factors are a1, a2, a, an and an which represent the nth factor causing financial risks;
the system comprises a receiving and payment counting module, a financial data analysis module, a payment counting module and a payment data analysis module, wherein the receiving and payment counting module is used for acquiring all income and expenditure amounts in each month in real time and sending financial information of the income and expenditure to the financial data analysis module, the income financial information comprises input amount, transfer-in enterprise name, transfer-in time and the like, and the expenditure financial information comprises expenditure amount, transfer-out enterprise name, transfer-out time and the like;
the report statistics acquisition module is used for acquiring financial information on financial report lists of months, extracting the financial information on the financial reports of months, and sending the financial information on the financial reports to the financial data analysis module, wherein the financial information on the financial reports comprises financial types, object names and time, the financial types comprise income amount and expenditure amount, and the object names comprise roll-in enterprise names and roll-out enterprise names.
The financial data analysis module is used for receiving the income and expense financial information sent by the income and expense statistics module, receiving the financial information on the financial statement sent by the statement statistics acquisition module, comparing the income and expense financial information with the financial information on the financial statement one by one, counting the times of unmatched income, matched income, unmatched expense and matched expense, and sending the times of unmatched income, matched income, unmatched expense and matched expense to the financial risk identification module and the storage database respectively;
the data model building module is used for inputting the ratio of the income unmatched times to the income matched times and the ratio of the expenditure unmatched times to the expenditure matched times under different financial risk factors, and sending the ratio of the income unmatched times to the income matched times, the ratio of the expenditure unmatched times to the expenditure matched times and the ratio of the expenditure unmatched times to the expenditure matched times to the storage database and the financial risk identification module according to different ratio value ranges corresponding to different risk levels and the ratio value ranges between the income unmatched times and the income matched times and the ratio between the expenditure unmatched times and the expenditure matched times under different financial risk factors and the corresponding different risk levels;
the storage database is used for storing the number of unmatched income times, the number of matched income times, the number of unmatched expenditure times and the number of matched expenditure times sent by the financial data analysis module, storing a proportional numerical range between the ratio of the unmatched income times to the number of matched income times and the ratio of the unmatched expenditure times to the number of matched expenditure times under each financial risk factor sent by the data establishment module, and storing different risk grade coefficients corresponding to the proportional numerical range, wherein the proportional numerical range is 0-0.1,0.1-0.2,0.2-0.5,0.5-1 and more than 1, and the risk grade coefficients corresponding to each proportional numerical range are respectively K1, K2, K3, K4 and K5, and K1 < K4624 < K4 < K5, K1+ K73725 + K3+ K4+ K5 are 1.
The risk input module is used for inputting current risk factors and sending the input risk factors to the risk identification module, wherein the number of the input current risk factors is more than or equal to 1;
the financial risk identification module is used for receiving the times of unmatched income, the times of matched income, the times of unmatched expenditure and the times of matched expenditure sent by the financial data analysis module, counting the received times of unmatched income, the times of matched income, the times of unmatched expenditure and the times of matched expenditure according to the financial risk factors, and obtaining a income unmatched times set B (B) under each financial risk factor1,b2,..., bi.,. bn), revenue match times set B '(B'1,b′2,., b 'i, b' n), the number of dismatching expenditures C (C)1,c2,..., ci.., cn), the outlay match set C '(C'1,c′2,.., c 'i., c' n), bi is expressed as the number of income mismatches under the ith financial risk factor, b 'i is expressed as the number of income matches under the ith financial risk factor, ci is expressed as the number of expenditure mismatches under the ith financial risk factor, and c' i is expressed as the number of expenditure matches under the ith financial risk factor;
the financial risk identification module is used for receiving the current risk factors of the enterprise sent by the risk input module, comparing the input current risk factors of the enterprise with the financial risk factors stored in the storage database, determining the risk factors, extracting the income mismatching times, income matching times, expenditure mismatching times and expenditure matching times corresponding to the risk factors according to the single risk factors respectively, and counting the matching proportion statistical coefficient corresponding to the financial risk factors
Figure BDA0002412716440000081
Judging a corresponding proportion numerical range of the matching proportion statistical coefficient in the storage database, extracting risk grade coefficients gamma i, gamma i ∈ K1, K2, K3, K4 and K5 corresponding to the proportion numerical range, if the number of the current risk factors of the enterprise is 1,then the current financial comprehensive risk coefficient of the enterprise
Figure BDA0002412716440000082
Wherein bi represents the income mismatching times under the ith financial risk factor, b 'i represents the income matching times under the ith financial risk factor, ci represents the expenditure mismatching times under the ith financial risk factor, c' i represents the expenditure matching times under the ith financial risk factor, and gamma i represents the matching proportion statistical coefficient βiCorresponding risk rating coefficient, βiAnd expressing the statistical coefficient of the matching proportion corresponding to the ith financial risk factor.
If the number of the current risk factors of the enterprise is more than 1, sequencing the current risk factors of the enterprise, wherein the current risk factors are respectively E1, E2, e.g., Ef, E1, E2, e.g., the Ef belongs to a1, a2, a.an, and E1, E2, e.g., the matching proportion statistical coefficient corresponding to the financial risk factor of the Ef and the risk grade coefficient corresponding to the matching proportion statistical coefficient, and the financial risk identification module counts the comprehensive financial risk coefficient of the enterprise under the comprehensive influence of the current risk factors
Figure BDA0002412716440000091
E1, E2.., Ef respectively belong to one of a1, a 2.., an, g ∈ E1, E2, E3, E4, E5, βgExpressed as the matching proportion statistical coefficient corresponding to the g-th financial risk factor, and gamma g is expressed as the matching proportion statistical coefficient βgThe financial risk identification module sends the enterprise financial comprehensive risk coefficient and the current risk factor of the enterprise under the comprehensive influence of the current risk factor to the display terminal, and the higher the enterprise financial comprehensive risk coefficient is, the larger the risk degree of the enterprise financial is.
The display terminal is used for receiving the enterprise financial comprehensive risk factor and the enterprise current risk factor under the comprehensive influence of the current risk factor of the enterprise sent by the financial risk identification module, displaying the enterprise financial comprehensive risk factor and prompting enterprise managers and enterprises intuitively.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.

Claims (5)

1. An enterprise financial management risk identification system, characterized by: the system comprises a financial risk factor extraction module, a balance statistics module, a report statistics acquisition module, a financial data analysis module, a data model construction module, a storage database, a risk input module, a financial risk identification module and a display terminal;
the financial risk identification module is respectively connected with the financial data analysis module, the risk input module, the storage database, the data model construction module and the display terminal, and the storage database is respectively connected with the financial risk factor extraction module and the data model construction module;
the financial risk factor extraction module is used for collecting and extracting factors causing financial risk in the enterprise financial management process and sending the extracted financial risk factors to the storage database;
the income and expenditure statistical module is used for acquiring all income and expenditure amounts in each month in real time and sending financial information of the income and expenditure to the financial data analysis module;
the report statistics acquisition module is used for acquiring financial information on the financial report list of each month, extracting the financial information on the financial report of each month, and sending the financial information on the financial report to the financial data analysis module;
the financial data analysis module is used for receiving the income and expense financial information sent by the income and expense statistics module, receiving the financial information on the financial statement sent by the statement statistics acquisition module, comparing the income and expense financial information with the financial information on the financial statement one by one, counting the times of unmatched income, matched income, unmatched expense and matched expense, and sending the times of unmatched income, matched income, unmatched expense and matched expense to the financial risk identification module and the storage database respectively;
the data model building module is used for inputting the ratio of the income unmatched times to the income matched times and the ratio of the expenditure unmatched times to the expenditure matched times under different financial risk factors, different proportional numerical ranges correspond to different risk levels according to the proportional numerical ranges between the ratio of the income unmatched times to the income matched times and the ratio of the expenditure unmatched times to the expenditure matched times, and the proportional numerical ranges between the ratio of the income unmatched times to the income matched times and the ratio of the expenditure unmatched times to the expenditure matched times and the corresponding different risk levels under each financial risk factor are sent to the storage database and the financial risk identification module;
the storage database is used for storing the number of times of unmatched income, the number of times of matched income, the number of times of unmatched expenditure and the number of times of matched expenditure which are sent by the financial data analysis module, and storing a proportional numerical range between the ratio of the number of unmatched income to the number of times of matched income and the ratio of unmatched expenditure to the number of times of matched expenditure under the financial risk factors sent by the data module and different risk grade coefficients corresponding to the proportional numerical range, and storing the financial risk factors;
the risk input module is used for inputting current risk factors and sending the input risk factors to the risk factor identification module;
the financial risk identification module is used for receiving the times of unmatched income, income matched times, unmatched expenditure and matched expenditure sent by the financial data analysis module, counting the received times of unmatched income, income matched times, unmatched expenditure and matched expenditure according to the financial risk factors, and obtaining a income unmatched times set B (B) under each financial risk factor1,b2,..., bi.,. bn), revenue match times set B '(B'1,b′2,., b 'i, b' n), the number of dismatching expenditures C (C)1,c2,..., ci.., cn), the outlay match set C '(C'1,c′2,.., c 'i., c' n), bi is expressed as the number of income mismatches under the ith financial risk factor, b 'i is expressed as the number of income matches under the ith financial risk factor, ci is expressed as the number of expenditure mismatches under the ith financial risk factor, and c' i is expressed as the number of expenditure matches under the ith financial risk factor;
the financial risk identification module is used for receiving the current risk factors of the enterprise sent by the risk input module, comparing the input current risk factors of the enterprise with financial risk factors stored in a storage database, determining the risk factors, counting the matching proportion statistical coefficients corresponding to the risk factors of the enterprise, extracting the risk level coefficients corresponding to the proportion value range, counting the current financial comprehensive risk coefficients of the enterprise according to the matching proportion statistical coefficients and the risk level coefficients corresponding to the risk factors of the enterprise, and sending the current financial comprehensive risk coefficients of the enterprise and the risk factors to the display terminal;
and the display terminal is used for receiving the enterprise financial comprehensive risk factor and the enterprise current risk factor which are sent by the financial risk identification module and are under the comprehensive influence of the current risk factor, and displaying the enterprise financial comprehensive risk factor and the enterprise current risk factor.
2. An enterprise financial management risk identification system according to claim 1 wherein: the financial information on the financial statement comprises a financial type, an object name and time, the financial type comprises income amount and expenditure amount, and the object name comprises a transfer-in enterprise name and a transfer-out enterprise name.
3. An enterprise financial management risk identification system according to claim 1 wherein: the ratio value ranges are 0-0.1,0.1-0.2,0.2-0.5,0.5-1 and more than 1, and the risk grade coefficients corresponding to the ratio value ranges are K1, K2, K3, K4 and K5 respectively, K1 is more than K2 is more than K3 is more than K4 is more than K5, and K1+ K2+ K3+ K4+ K5 is 1.
4. An enterprise financial management risk identification system according to claim 1 wherein: when the number of the current influence factors of the enterprise is 1, extracting the income mismatching times, income matching times, expenditure mismatching times and expenditure matching times corresponding to the risk factors, and counting the matching proportion statistical coefficients corresponding to the financial risk factors
Figure FDA0002412716430000031
Judging a proportion numerical range corresponding to the matching proportion statistical coefficient in a storage database, extracting risk grade coefficients gamma i, gamma i ∈ K1, K2, K3, K4 and K5 corresponding to the proportion numerical range, and if the number of the current risk factors of the enterprise is 1, determining the current financial comprehensive risk coefficient of the enterprise
Figure FDA0002412716430000032
Wherein bi represents the income mismatching times under the ith financial risk factor, b 'i represents the income matching times under the ith financial risk factor, ci represents the expenditure mismatching times under the ith financial risk factor, c' i represents the expenditure matching times under the ith financial risk factor, and gamma i represents the matching proportion statistical coefficient βiCorresponding risk rating coefficient, βiAnd expressing the statistical coefficient of the matching proportion corresponding to the ith financial risk factor.
5. An enterprise financial management risk identification system according to claim 1 wherein: when the current risk factor number of the enterprise is larger than 1, sequencing the current risk factor of the enterprise, wherein the current risk factor number is respectively E1, E2, e.g., Ef, E1, E2, e.g., the current risk factor of the enterprise is respectively a1, a2, a.an, extracting a matching proportion statistical coefficient corresponding to the E1, E2, e.g., the financial risk factor of the enterprise and a risk level coefficient corresponding to the matching proportion statistical coefficient, and the financial risk identification module counts the comprehensive financial risk coefficient of the enterprise under the comprehensive influence of the current risk factors
Figure FDA0002412716430000041
E1, E2.., Ef respectively belong to one of a1, a 2.., an, g ∈ E1, E2, E3, E4, E5, βgExpressed as the matching proportion statistical coefficient corresponding to the g-th financial risk factor, and gamma g is expressed as the matching proportion statistical coefficient βgCorresponding risk rating coefficient.
CN202010181609.9A 2020-03-16 2020-03-16 Enterprise financial management risk identification system Withdrawn CN111401737A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113989008A (en) * 2021-11-23 2022-01-28 江西师范大学 Financial management system

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113989008A (en) * 2021-11-23 2022-01-28 江西师范大学 Financial management system

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