WO2021176762A1 - Fraud detection device, foreigner employment system, program, and method for detecting illicit labor by foreign worker - Google Patents

Abstract

The purpose of the present invention is to provide technology for facilitating the detection of illicit labor between foreign workers and host companies.　This fraud detection device comprises: a storage unit for storing information specifying the results of individual companies in a predetermined aggregation period and information specifying the salaries paid to foreign workers in the companies; a withdrawal increase specifying unit for acquiring a history of withdrawals from an account held by an individual foreign worker at a financial institution; a labor shortage determination unit that determines a labor shortage when the actual salary payments relating to results are less than a predetermined first reference value; and a fraud detection unit that employs the history of withdrawals for an individual foreign worker in a company, outputs information indicating a labor shortage when the degree of correlation between an amount of compensation corresponding to the labor shortage of the company and the total decrease in the withdrawal amount during a labor shortage state with respect to the withdrawal amount when not in the labor shortage state is equal to or less than a second reference value, and outputs information indicating a possibility of illicit payment when the degree of correlation is greater than the second reference value.

Description

Fraud detection device, foreign employment system, program and method of detecting fraudulent work of foreign workers

The present invention relates to a fraud detection device, a foreign employment system, a program, and a method for detecting fraudulent work of foreign workers. The present invention claims the priority of application number 2020-038775 of the Japanese patent filed on March 6, 2020, and for designated countries that are permitted to be incorporated by reference to the literature, the contents described in the application are as follows. Incorporated into this application by reference.

In recent years, the number of foreign workers working in Japan has been increasing.

Patent Document 1 describes a technique for lending within the range of unpaid salary that has already been worked.

Japanese Unexamined Patent Publication No. 2004-253010

The technology described in Patent Document 1 is a technology for monetizing legitimate labor at an early stage, but does not actively provide a solution to unfair labor. For example, workers of foreign nationality have restrictions on their occupations and working hours depending on their status of residence, and unfair labor practices such as illegal payment of salary under a name other than the attendance record and unfair labor such as handing over benefits and avoiding audits. It's happening. With regard to such unfair labor practices, there are cases in which fraud is discovered due to an abnormally large amount of account balance at the time of departure after the working period, and it may be lost late.

The present invention has been made in view of the above points, and an object of the present invention is to provide a technique for facilitating the detection of unfair labor practice between a foreign worker and a host company.

The present application includes a plurality of means for solving the above problems, and examples thereof are as follows. In order to solve the above problems, the fraud detection device according to one aspect of the present invention has information for specifying the results in a predetermined aggregation period for each company and information for specifying the amount of salary paid to foreign workers of the company. The storage unit that stores the above, the withdrawal increase specific unit that acquires the withdrawal history from the account of the foreign worker's individual financial institution, and the actual salary payment amount related to the result are the predetermined first. Using the labor shortage determination unit that determines labor shortage when the value is below the standard value and the withdrawal history of the foreign worker of the company, the labor as seen from the withdrawal amount that is not in the labor shortage state. The degree of correlation between the total amount of decrease in the withdrawal amount in the state of power shortage and the amount of consideration according to the labor shortage of the company is analyzed, and the degree of the correlation is the first reference value. If it is less than the second standard value, which is different from the above, it is output that there is a labor shortage, and if the degree of the correlation exceeds the second standard value, it is output that there is a possibility of improper payment. It is characterized by including a fraud detection unit.

Further, the fraud detection device is provided with a labor productivity identification unit for calculating the first reference value by using the salary payment amount for a predetermined period and the actual value of the result for each company. You may.

Further, in the fraud detection device, the storage unit stores information for identifying the type of business of the company, and the salary payment amount for a predetermined period of a plurality of the companies belonging to the same type of business as the company. And the labor productivity identification unit, which calculates the first reference value using the actual value of the result, may be provided.

Further, the fraud detection device includes a temporary payment detection unit for acquiring the payment history of the foreign worker's individual to the account of the financial institution, and the fraud detection unit is the foreigner in the state of labor shortage. It may be output to the individual worker that there is a possibility of improper payment when there is a payment other than salary.

Further, in the fraud detection device, the fraud detection unit has received a non-salary payment to the foreign worker in the state of labor shortage, and the actual result of the salary payment amount of the company is reduced. If the amount corresponds to the amount of payment other than the salary, it may output that there is a possibility of improper payment.

Further, in the above fraud detection device, the fraud detection unit may provide fraud when the amount of decrease in the withdrawal amount from the salary of the individual foreign worker exceeds a predetermined third reference value. It may output the fact.

Further, in order to solve the above problems, the foreign employment support system according to another aspect of the present invention includes a fraud detection device and a receiving company device and a financial processing device communicably connected to the fraud detection device. It is a foreign employment support system that the host company equipment has, and the information that specifies the result of the own company in a predetermined aggregation period, the information that specifies the salary payment amount to the foreign worker of the own company, and the information. The financial processing device includes a storage unit for storing the above and an information providing unit for providing information on the result and the salary payment amount in response to a request from the fraud detection device, and the financial processing device is a request from the fraud detection device. According to the above, the fraud detection is provided with an information providing unit that requests the transaction history information for specifying the transaction history of the foreign worker's individual account from a predetermined financial institution and provides the transaction history information acquired. The device is a labor productivity identification unit that asks the receiving company device for information on the results and the salary payment amount, and the financial processing device is provided with information on the withdrawal history from the account of the financial institution of the foreign worker. The withdrawal increase identification department to be sought, the labor shortage determination department that determines that there is a labor shortage when the actual salary payment amount related to the result is less than the predetermined first reference value, and the foreign worker of the host company. Using the individual withdrawal history, the total amount of decrease in the withdrawal amount in the labor shortage state as seen from the withdrawal amount not in the labor shortage state, and the consideration according to the shortage labor force of the company. The degree of correlation with the amount is analyzed, and if the degree of the correlation is less than or equal to the second reference value different from the first reference value, it is output that the labor force is insufficient, and the correlation is output. It is characterized by including a fraud detection unit that outputs that there is a possibility of fraudulent payment when the degree of fraud exceeds the second reference value.

Further, in order to solve the above problems, the program according to another aspect of the present invention is a program that causes a computer to function as a fraud detection device, and causes the fraud detection device to function as a storage unit and a processing unit. The storage unit stores information for specifying the results in a predetermined aggregation period for each company and information for specifying the amount of salary paid to foreign workers of the company, and the processing unit stores the information. Withdrawal increase identification procedure to acquire the withdrawal history from the account of the individual financial institution of the foreign worker, and labor shortage when the actual salary payment amount related to the result is less than the predetermined first standard value Using the labor shortage determination procedure for determining and the withdrawal history of the foreign worker of the company, the reduction of the withdrawal amount in the labor shortage state in view of the withdrawal amount not in the labor shortage state. The degree of correlation between the total amount and the amount of consideration according to the labor shortage of the company is analyzed, and the degree of correlation is less than or equal to the second reference value different from the first reference value. In that case, it is possible to execute a fraud detection procedure that outputs that there is a labor shortage and that there is a possibility of fraudulent payment when the degree of the correlation exceeds the second reference value. It is a feature.

Further, in order to solve the above problem, the method for detecting illegal work of a foreign worker according to another aspect of the present invention is a method for detecting illegal labor of a foreign worker by a fraud detection device, and the fraud detection is described. The device includes a storage unit and a processing unit that store information that identifies the results of the predetermined aggregation period for each company and information that specifies the amount of salary paid to foreign workers of the company. In the processing unit, the withdrawal increase identification procedure for acquiring the withdrawal history from the account of the individual financial institution of the foreign worker and the actual result of the salary payment amount related to the result are below the predetermined first reference value. The state of labor shortage as seen from the withdrawal amount that is not in the state of labor shortage, using the labor shortage determination procedure for determining labor shortage in some cases and the withdrawal history of the foreign worker of the company. The degree of correlation between the total amount of decrease in the withdrawal amount in the above and the amount of consideration according to the labor shortage of the company is analyzed, and the degree of the correlation is different from the first reference value. A fraud detection procedure that outputs that there is a labor shortage when it is less than or equal to the second standard value, and outputs that there is a possibility of fraudulent payment when the degree of correlation exceeds the second standard value. , Is characterized by carrying out.

According to the present invention, it is possible to provide a technique for early detection of unfair labor practice between a foreign worker and a host company.

Issues, configurations, and effects other than those described above will be clarified by the explanation of the following embodiments.

It is a figure which shows an example of the functional block of the foreigner employment support system. It is a figure which shows an example of the data structure of the receiving company information. It is a figure which shows an example of the data structure of worker information. It is a figure which shows an example of the data structure of performance information. It is a figure which shows the list of the data structure of attendance information. It is a figure which shows an example of the data structure of salary payment information. It is a figure which shows an example of the data structure of the transaction history information. It is a figure which shows the hardware configuration example of a fraud detection device. It is a flowchart which shows an example of a baseline identification process. It is a flowchart which shows an example of the labor shortage determination process. It is a flowchart which shows an example of fraud detection processing. It is a figure which shows an example of the labor shortage notification screen. It is a figure which shows an example of the fraud detection alert screen.

When a foreigner works in Japan, he / she is obliged to work according to multiple statuses of residence such as study abroad, technical intern training, or specific skills. Depending on the status of residence, not only foreign workers need to meet predetermined standards, but also support groups such as support groups or supervision organizations that provide living support and host companies need to meet the prescribed standards. .. For example, support organizations such as whether business is performed correctly, whether working conditions do not violate laws such as the Labor Standards Act, whether they comply with standards such as the so-called 36 agreements, and whether they meet prescribed auditing standards. And there are matters that the host company should manage in order to maintain the employment of foreign workers.

For example, because there are restrictions on employment depending on the status of residence, foreign workers who wish to work beyond this may go through the attendance / salary management system and perform unfair labor practices. On the other hand, there are some accepting companies that make foreign workers work unreasonably long hours but do not pay the wages, or reduce the wages. It is necessary to correct such improper labor and exchange of compensation.

Hereinafter, an example of the embodiment of the present invention will be described with reference to the drawings. FIG. 1 is a diagram showing an example of a functional block of a foreigner employment support system. The foreign employment support system 1 mainly supports the employment (acceptance) of foreign workers. In the foreign employment support system 1, the fraud detection device 100, the receiving company device 200, the financial processing device 300, and the electronic money management device 400 are communicably connected via the network N. In FIG. 1, one receiving company device 200, a financial processing device 300, and an electronic money management device 400 are connected to one fraud detection device 100, respectively. The number of each device included is not limited to the example shown in FIG.

The fraud detection device 100 is an information processing device such as a server computer or a PC (Personal Computer), and is operated by, for example, a business operator of a foreign worker management support service using the foreigner employment support system 1. As an example, the business operator positions the fraud detection device 100 as a cloud server that can be accessed via the network N, and develops the fraud detection service as a cloud service.

The receiving company device 200, the financial processing device 300, and the electronic money management device 400 are information processing devices such as a PC, a smartphone, a PDA (Personal Digital Assistant), a notebook computer, or a tablet terminal, respectively.

The host company device 200 is a device used by a company that employs foreign workers. When the support organization also serves as the host company, the host company device 200 also functions as a device used by the support organization. In addition, the host company device 200 may be paraphrased as an administrator device. In addition, the support organization and the host company may be paraphrased as an administrator.

The financial processing device 300 is a device that processes various transactions for an account of a financial institution such as a bank. For example, the financial processing apparatus 300 provides an interface for Internet banking and executes transfer of funds between accounts as transaction processing. Alternatively, the financial processing device 300 is requested by the fraud detection device 100 by using an Internet banking interface (for example, API (Application Programming Interface), RPA (Robotic Process Automation), etc.) provided by a financial institution or the like. Inquiries about accounts or requests for processing may be made to financial institutions and the like.

The electronic money management device 400 is a device that performs various transaction processing for an account such as electronic money. For example, the electronic money management device 400 provides an interface for cashless payment, and executes payment from an account, payment processing from an account of a financial institution, and the like as transaction processing. Alternatively, the electronic money management device 400 uses a payment interface (for example, API, RPA, etc.) provided by a cashless payment business operator or the like, and when requested by the fraud detection device 100, the cashless payment business operator or the like It may be an inquiry or a processing request to. Further, the electronic money management device 400 includes a device and a system for managing and paying for an electronic virtual currency having an exchange value similar to that of money.

The fraud detection device 100 includes a processing unit 110, a storage unit 130, an input unit 150, an output unit 160, and a communication unit 170. The processing unit 110 comprehensively controls the entire fraud detection device 100. The storage unit 130 stores information necessary for processing by the processing unit 110. The input unit 150 receives input of information to the fraud detection device 100 from an input device connected via an input IF described later. The output unit 160 outputs the information stored in the fraud detection device 100 from the output device connected via the output IF described later. The communication unit 170 mediates the transmission and reception of information with the receiving company device 200, the financial processing device 300, and the electronic money management device 400.

The processing unit 110 includes a labor productivity identification unit 111, a regular deposit / withdrawal identification unit 112, a labor shortage determination unit 113, a temporary deposit detection unit 114, a shortage labor consideration calculation unit 115, and a withdrawal increase identification unit 116. , And fraud detection unit 117.

The Labor Productivity Identification Department 111 identifies the labor productivity of the host company that accepts foreign workers. Specifically, the Labor Productivity Identification Department 111 specifies, for example, the ratio of sales or deliverables, which are the output of a host company that accepts foreign workers, to labor costs, which are the source of the products, as labor productivity. .. Depending on the type of business and business type of the host company, the output is not limited to this, and the output may be, for example, the number of electronic files, video data, software program code, or other products provided to the customer. good.

The regular deposit / withdrawal identification unit 112 identifies the regular deposit / withdrawal of foreign workers. Specifically, the regular deposit / withdrawal identification unit 112 identifies the regular deposit / withdrawal by using the usage history of the bank account or electronic money for a predetermined period of several months after the foreign worker enters the country. In general, sudden deposits and withdrawals tend to increase due to payment of various initial costs immediately after entering Japan, and it is thought that a stable deposit and withdrawal cycle will be completed after a predetermined period of time after entering Japan. be. Since there are individual circumstances, the regular deposit / withdrawal identification unit 112 identifies the regular deposit / withdrawal by using the usage history of the bank account or electronic money at a certain time of stable deposit / withdrawal for several months.

The labor shortage determination unit 113 determines whether or not the labor volume of the host company is insufficient. Specifically, the labor shortage determination unit 113 calculates the labor productivity of the host company for a predetermined period, and the labor force is compared with the normal labor productivity (baseline) specified by the labor productivity identification unit 111. Is insufficient (unnaturally, the total working hours of workers is small).

Temporary payment detection unit 114 detects the presence or absence of payment outside the salary of foreign workers. Specifically, the temporary payment detection unit 114 detects payments other than salary from the receiving company by referring to the history of payments of foreign workers' bank accounts or electronic money for a predetermined period.

When the labor of the host company is insufficient, the shortage labor consideration calculation unit 115 converts the shortage into labor consideration. Specifically, the shortage labor consideration calculation unit 115 calculates the shortage of labor costs required for the output of the host company by the product of the working hours and the hourly unit price of the workers.

Withdrawal increase identification unit 116 specifies the amount of increase or decrease in withdrawal for a predetermined period for foreign workers. Specifically, the withdrawal increase specific unit 116 calculates the withdrawal amount of the worker's bank account or electronic money for a predetermined period, and the normal withdrawal amount (baseline) specified by the regular deposit / withdrawal specific unit 112. It is determined whether or not the withdrawal amount has increased or decreased (unnaturally, the withdrawal amount is large).

The fraud detection unit 117 detects that fraudulent labor consideration is paid outside the salary. Specifically, the fraud detection unit 117 detects fraud when there is a correlation between the occurrence of the shortage labor force of the host company and the decrease in the withdrawal amount of the worker. In other words, it can be presumed that the amount paid to the bank account, etc. as salary decreased due to the cash payment to the worker outside the salary, and the necessity of withdrawal from the worker's bank account, etc. decreased due to the use of cash. When a situation arises, the fraud detection unit 117 determines that there is a possibility of fraudulent work. When fraud is detected, the fraud detection department 117 sends an alert message to the host company, support agency, or related ministries and agencies (for example, Ministry of Health, Labor and Welfare, tax office, labor standards inspection office) about the possibility of labor shortage or unfair labor practice. Is output.

The storage unit 130 stores the receiving company information 131 and the worker information 132.

FIG. 2 is a diagram showing an example of the data structure of the receiving company information. The host company information 131 is information about the host company and the support organization, and includes information that identifies the company and information that indicates a notification destination such as an e-mail address. The receiving company information 131 includes, for example, a company code, a company name, a company classification, an industry, and a notification destination. The company code is identification information that identifies the host company and the support organization. The company name is information indicating the names of the host company and the support organization.

The company classification is information indicating the classification of the host company. Possible values for a company category are defined according to a given category. The type of business is information indicating the type of business of the company. The type of industry is, for example, information that identifies the receiving field, which is the business field in which the receiving company accepts foreign workers. The notification destination is information indicating the notification destination to the person in charge belonging to the host company. As an example, the notification destination is the e-mail address of the person in charge of the host company.

FIG. 3 is a diagram showing an example of a data structure of worker information. The worker information 132 includes information about an individual registered about a foreign worker. For example, the worker information 132 includes a host company, a status of residence, a salary transfer account, etc. related to a foreign worker.

Worker information 132 is generated, for example, when a worker is registered. The worker information 132 contains, for example, the worker name, status of residence, support organization code, host company code, employee number, nationality code, gender, date of birth, address, religion, notification destination, and work prefecture code for the worker ID. , Entry date, employment date, total number of paid leave, salary amount, retirement date, retirement category, return date, status of residence, salary system category, salary transfer account, etc. are associated.

The worker ID is identification information that identifies a foreign worker. The worker's name is the name of a foreign worker. The status of residence is information that indicates the status of residence of a foreign worker. The support agency code is identification information that identifies the support agency of a foreign worker. The host company code is identification information that identifies the host company that employs a foreign worker. The support organization code and the host company code correspond to the company code in the host company information 131.

The employee number is the identification number of the foreign worker at the host company. The nationality code is information that identifies the nationality of a foreign worker. Gender is information indicating the gender of a foreign worker. The date of birth is information indicating the date of birth of a foreign worker. The address is information indicating the residential area of a foreign worker. Faith is information that identifies the belief of foreign workers. The notification destination is information indicating the notification destination of the foreign worker. The notification destination is, for example, an e-mail address that a foreign worker can access by himself / herself.

The work prefecture code is information that identifies the prefecture where the accepting company of foreign workers is located. The date of entry is information indicating the time when a foreign worker entered the country. The hire date is information indicating when the foreign worker started working at the host company. The total number of paid leave is information indicating the total number of paid leave that a foreign worker can take in a predetermined period. The salary amount is information indicating the wage specified in the employment contract signed by the foreign worker with the host company.

The retirement date is information indicating when a foreign worker has finished working. The retirement category is information indicating the reason for retirement of a foreign worker. The return date is information indicating the time when the foreign worker returned to Japan. The holding qualification is information that identifies the qualification held by a foreign worker. The salary system classification is information indicating the salary system of foreign workers. The salary system is a classification such as whether wages are determined by hourly wages, daily wages, or monthly wages. The salary transfer account is information indicating a bank account or an electronic money account when transferring salary to a foreign worker.

The receiving company device 200 includes a processing unit 210, a storage unit 230, an input unit 240, an output unit 250, and a communication unit 260. The financial processing device 300 includes a processing unit 310, a storage unit 330, an input unit 340, an output unit 350, and a communication unit 360. The electronic money management device 400 includes a processing unit 410, a storage unit 430, an input unit 440, an output unit 450, and a communication unit 460.

The processing unit 210 comprehensively controls the entire receiving company equipment 200. The storage unit 230 stores the electronic data possessed by the receiving company apparatus 200. The processing unit 310 comprehensively controls the entire financial processing apparatus 300. The storage unit 330 stores the electronic data possessed by the financial processing device 300. The processing unit 410 comprehensively controls the entire electronic money management device 400. The storage unit 430 stores the electronic data possessed by the electronic money management device 400. The input units 240, 340, and 440 perform the same processing as the input unit 150, and the output units 250, 350, and 450 perform the same processing as the output unit 160, and the communication units 260, 360, and 360. The 460 performs the same processing as the communication unit 170.

The processing unit 210 of the receiving company device 200 includes an information providing unit 211. The information providing unit 211 provides various types of information stored in the storage unit 230 in response to a request received by the input unit 240 or the communication unit 260.

The storage unit 230 includes performance information 231, attendance information 232, and salary payment information 233.

FIG. 4 is a diagram showing an example of the data structure of performance information. The performance information 231 includes the performance of the host company, for example, sales in a predetermined period, POS (Point Of Sales) information, production performance information, and the like.

The company code is identification information that identifies the host company that employs foreign workers. The department code is identification information that identifies the business division of the host company where the foreign worker is working. The aggregation period is information that identifies the period in which the results are aggregated. Achievements are information that identifies the amount of outcomes that are linked to performance. Achievements use different units depending on the type of business and business type of the host company. For example, it is a result measured by various index values such as sales amount, product quantity, import weight, and travel distance.

FIG. 5 is a diagram showing an example of a data structure of attendance information. The attendance information 232 is information on the working status of the foreign worker who works at the host company, and the information in which the working condition of the foreign worker is input is registered.

In the attendance information 232, the date, working hours, overtime hours, the number of late arrivals, and the number of paid days are associated with the worker ID.

The worker ID is identification information that identifies a foreign worker. The date is information indicating the target time for recording the attendance information 232. The working hours are information indicating the working hours of foreign workers at the target time. Overtime hours are information indicating the overtime hours of foreign workers during the target period. The number of late arrivals is information indicating the number of times a foreign worker has been late for the target period. The number of days of paid leave is information indicating the number of days of paid leave taken by a foreign worker during the target period.

FIG. 6 is a diagram showing an example of a data structure of salary payment information. The salary payment information 233 is information relating to the actual salary payment as a labor consideration for the workers of the host company. In the salary payment information 233, the payment date, the target period, the salary payment amount, the working hours, and various allowances are associated with the worker ID.

The worker ID is identification information that identifies a foreign worker. The payment date is information indicating the date on which the salary was paid. The target period is information indicating the target period of labor subject to salary. The salary payment amount is the amount paid as salary (before taxation). The working hours are information indicating the working hours of foreign workers at the target time. The various allowances are information indicating the amount of various allowances (for example, risk allowance, qualification allowance, etc.) of foreign workers at the target time.

The processing unit 310 of the financial processing device 300 includes an account information providing unit 311. The account information providing unit 311 receives various information stored in the storage unit 330 or various information acquired by using the API or RPA of a financial institution in response to a request received by the input unit 340 or the communication unit 360. I will provide a.

The storage unit 330 includes transaction history information 331. The transaction history information 331 is history information in which the balance, transaction details, transaction date and time, transaction amount, and the like are recorded for each account.

FIG. 7 is a diagram showing an example of a data structure of transaction history information. In the transaction history information 331, the balance, the opening date, the transaction date and time, the transaction category, and the amount are associated with the account number.

The account number is identification information that identifies an account of a financial institution (for example, a bank savings account). The balance is information indicating the balance of the account. The opening date is information that identifies the date when the account was opened. The transaction date and time, transaction category, and amount are managed in association with each transaction, and are information that specifies the content including the date and time when the transaction was made and the amount of the transaction. For example, if there is a deposit from another account on a certain day, the transaction category is "transfer" and the amount deposited is recorded as a transaction history.

The processing unit 410 of the electronic money management device 400 includes an account information providing unit 411. The account information providing unit 411 operates in the same manner as the above-mentioned account information providing unit 311. That is, the account information providing unit 411 uses various information stored in the storage unit 430, API or RPA of the cashless payment operator, or the like in response to a request received by the input unit 440 or the communication unit 460. Provide various acquired information.

The storage unit 430 includes transaction history information 431. The transaction history information 431 is history information in which the balance, transaction details, transaction date and time, transaction amount, and the like are recorded for each electronic money account.

Since the transaction history information 431 has almost the same data structure as the transaction history information 331 shown in FIG. 7, the explanation is omitted except for a part. The account number of the transaction history information 431 is identification information that identifies an account (for example, an electronic money account) opened by an electronic money settlement company. The balance is information indicating the balance of the account. The opening date is information that identifies the date when the account was opened. The transaction date and time, transaction category, and amount are managed in association with each transaction, and are information that specifies the content including the date and time when the transaction was made and the amount of the transaction. For example, if there is a withdrawal to another account on a certain day, the transaction category is "payment" and the withdrawn amount is recorded as the transaction history.

FIG. 8 is a diagram showing a hardware configuration example of the fraud detection device 100. The fraud detection device 100 includes an arithmetic unit 11, a memory 12, an external storage device 13, an input IF (Interface) 14, an output IF 15, a communication IF 16, and a storage medium drive device 17, and each component is composed of. It is connected by a bus.

The arithmetic unit 11 is an arithmetic unit such as a CPU (Central Processing Unit), and executes processing according to a program recorded in the memory 12 or the external storage device 13. In the fraud detection device 100, processing is performed by the arithmetic unit 11 that operates according to the program read on the memory 12 or the external storage device 13. The processing unit 110 realizes each function when the arithmetic unit 11 executes a program.

The memory 12 is a storage device such as a RAM (Random Access Memory) or a flash memory, and functions as a storage area for temporarily reading programs and data. The external storage device 13 is a writable and readable storage medium and storage drive such as an HDD (Hard Disk Drive), a CD-R (Compact Disc-Recordable), or a DVD-RAM (Digital Versailles Disk-Random Access Memory). Equipment, etc. The function of the storage unit 130 is realized by the memory 12 or the external storage device 13. The function of the storage unit 130 may be realized by a storage device connected via the communication IF 16.

The input IF 14 is an interface for receiving an input operation from an operator, and for example, an input device such as a touch panel, a keyboard, a mouse, or a microphone is connected. The output IF 15 is an interface for outputting information to an output device such as an LCD (Liquid Crystal Display) built in the fraud detection device 100.

The communication IF 16 is an interface for connecting the fraud detection device 100 to another device via the network N, and is connected to a communication device such as a LAN (Local Area Network) card. The storage medium drive device 17 is a device that inputs / outputs information from a portable medium 18 such as a CD (Compact Disk) or a DVD (Digital Versaille Disk).

Note that the processing of each component of the fraud detection device 100 may be executed by one hardware or may be executed by a plurality of hardware. Further, the processing of each component of the fraud detection device 100 may be realized by one program or may be realized by a plurality of programs.

Since the hardware configurations of the receiving company device 200, the financial processing device 300, and the electronic money management device 400 are the same as those of the fraud detection device 100, the description thereof will be omitted.

FIG. 9 is a flowchart showing an example of baseline identification processing. When the fraud detection device 100 receives a request, the process of this flowchart is started by the fraud detection device 100, for example. Alternatively, it is periodically started for the foreign worker after a predetermined period (for example, 3 months) has passed from the entry of the foreign worker.

First, the labor productivity identification unit 111 identifies a line that serves as a reference for labor costs per company performance (step S001). Specifically, the labor productivity identification unit 111 produces the results (sales, profit, production volume, shipment volume, etc.) of each host company whose information is stored in the host company information 131, and the results thereof. The labor force (labor cost or total working hours) used for the workforce is specified for a predetermined period that includes multiple days, and the results per labor force are specified according to a predetermined standard, and this is used as the reference line. .. For example, the labor productivity identification unit 111 requests the receiving company equipment 200 to provide the results and salary payment amount or information between offices by designating the aggregation period, and divides the weekly sales by the weekly labor cost. The reference line (first reference value) may be used, or the monthly shipment volume may be divided by the total working hours of the month to obtain the reference line. Further, for example, the labor productivity identification unit 111 may divide the sales of each day by the labor cost of the day to use the reference line, or the amount of software source code (number of lines) and the software test process for each quarter. The number of bugs detected in the above may be divided by the man-hours (man-days) of the quarter to use as the reference line.

Then, the regular deposit / withdrawal identification unit 112 specifies the reference line of the financial institution and the electronic money account for each foreign worker (step S002). Specifically, the regular deposit / withdrawal identification unit 112 identifies the financial institution and the electronic money account for each foreign worker whose information is stored in the worker information 132 with reference to the payroll account. Then, the steady deposit / withdrawal identification unit 112 requests the financial processing device 300 and the electronic money management device 400 to provide the transaction history of each account, and finds the average amount of monthly withdrawals for each worker and sets a reference line. Identify.

The above is a flowchart showing an example of baseline identification processing. According to the baseline identification process, the first reference value, which is the ratio of the performance of each host company to the labor force, which is the reference line, and the withdrawal amount of each worker can be specified based on the actual results. Even if the ratio of the results of each host company to the labor force is calculated as the first reference value using the salary payment amount and the actual value of the results of multiple companies belonging to the same industry for a predetermined period. good. By doing so, it becomes possible to identify the so-called "industry average" market price. For example, it is possible to calculate a reference value of sales per working hour in the "convenience store" industry.

FIG. 10 is a flowchart showing an example of labor shortage determination processing. When the fraud detection device 100 receives a request, the process of this flowchart is started by the fraud detection device 100, for example. Alternatively, it may be started on a regular basis, for example daily or weekly.

First, the labor shortage determination unit 113 identifies the labor cost (A) required for the labor results of the predetermined period (step S101). Specifically, the labor shortage determination unit 113 specifies the amount of labor results that have increased since the previous implementation, and specifies the labor force required to output the amount of the results, thereby specifying the labor cost. ..

Then, the labor shortage determination unit 113 specifies the actual labor cost (B) for the relevant period (step S102). Specifically, the labor shortage determination unit 113 specifies the labor cost that has increased since the previous implementation as the actual labor cost (B).

Then, the labor shortage determination unit 113 determines whether or not the difference obtained by subtracting the labor cost (A) required for the labor result from the actual labor cost (B) is less than 0 (step S103). If the difference obtained by subtracting the labor cost (A) required for labor results from the actual labor cost (B) is not less than 0 (in the case of "No" in step S103), the labor shortage determination unit 113 has a labor shortage. It is determined that this is not the case, and the labor shortage determination process is terminated.

When the difference obtained by subtracting the labor cost (A) required for labor results from the actual labor cost (B) is less than 0 (in the case of "Yes" in step S103), the labor shortage determination unit 113 determines the labor force. It is determined that it is abnormal (insufficient) (step S104). Then, the labor shortage determination unit 113 ends the labor shortage determination process.

The above is a flowchart showing an example of labor shortage determination processing. According to the labor shortage determination process, it is possible to determine whether or not a labor shortage is expected by using the difference between the actual labor cost (labor force) and the estimated labor cost (labor force). More specifically, if the actual labor cost (B) is higher than the actual labor cost (A) expected from the results, it is not a labor shortage, and if not, that is, if it is not higher, the labor force is It can be determined that it is abnormal, that is, it is insufficient.

FIG. 11 is a flowchart showing an example of fraud detection processing. When the fraud detection device 100 receives a request, the process of this flowchart is started by the fraud detection device 100, for example. Alternatively, it is started periodically, for example weekly or monthly, preferably in the same cycle as the payroll cycle (eg, 3 business days of payday).

First, the fraud detection unit 117 determines whether or not it corresponds to an abnormal labor force period (step S201). Specifically, whether or not the fraud detection unit 117 has determined that there is a labor abnormality (deficiency) by the labor shortage determination process during the period targeted for fraud detection (the period from the previous implementation). To judge.

If it is not determined that the labor force is abnormal by the labor force shortage determination process (in the case of "No" in step S201), the fraud detection unit 117 determines that there is no fraud (step S202). Then, the fraud detection unit 117 ends the fraud detection process.

When it is determined that the labor force is abnormal by the labor force shortage determination process (in the case of "Yes" in step S201), the temporary payment detection unit 114 indicates whether the foreign worker of the company has a non-salary payment. Determine (step S203). Specifically, the temporary deposit detection unit 114 sets the bank account and the electronic money account of the foreign worker of the company to the regular deposit / withdrawal identification unit 112, and to the financial processing device 300 and the electronic money management device 400, respectively. Ask for the transaction history of the account. Then, when there is a payment history other than salary and bonus, the temporary payment detection unit 114 determines that the foreign worker of the company has a payment other than salary. For example, when using a method such as providing a product to a foreign worker instead of salary and selling it on an auction site or the like for cashing, it is necessary to detect the presence or absence of such non-salary payment. Because there is.

When there is a payment other than salary (when "No" in step S203), the fraud detection unit 117 assigns a cause code and outputs an alert that there is a possibility of fraud (step S204). Specifically, when the fraud detection unit 117 is "No" in step S203, for example, when the cause code of "E001" is given and the fraud detection unit 117 is "No" in step S208. For example, by assigning a cause code of "E002" to an e-mail in a predetermined format, a predetermined e-mail address, for example, a predetermined e-mail of a predetermined department of the receiving company, a window of a support organization, etc. It is possible to send to the address. Then, the fraud detection unit 117 ends the fraud detection process.

Then, the shortage labor consideration calculation unit 115 converts the shortage labor force into consideration (X) (step S205). Specifically, the labor shortage consideration calculation unit 115 has the personnel equivalent to the absolute value of the difference obtained by subtracting the labor cost (A) required for the labor result from the actual labor cost (B) calculated in the labor shortage determination process. Find the cost as consideration (X). Alternatively, in the case of working hours, the shortage labor consideration calculation unit 115 converts the shortage working hours into labor costs and calculates it as consideration (X).

Then, the withdrawal increase specifying unit 116 specifies the amount of decrease (Y) from the baseline of the withdrawal of the worker (step S206). Specifically, the withdrawal increase identification unit 116 has decreased during the period covered by fraud detection, based on the reference line of the financial institution and electronic money account of the foreign worker specified in the baseline identification process. The amount is specified as the reduction amount (Y).

Then, the fraud detection unit 117 correlates between the consideration for the shortage of labor (X) and the amount of decrease (Y) from the baseline of the withdrawal of the worker by the total of all foreign workers in the company. Is analyzed (step S207). If the amount equivalent to salary is paid by fraudulent accounting without going through the salary system, the withdrawal amount from the worker's salary account will decrease and the labor shortage will increase, so there is a correlation between them. This is because if there is, it can be a trigger to detect it as fraudulent.

The fraud detection unit 117 determines whether or not the correlation is equal to or less than a predetermined value (step S208). Specifically, the fraud detection unit 117 determines whether or not the index value representing the degree of correlation is equal to or less than a predetermined reference value (second reference value) as a result of the analysis in step S207. If it is not equal to or less than a predetermined reference value (in the case of "No" in step S208), the fraud detection unit 117 proceeds to the control in step S204 assuming that there is a possibility of fraud.

When the value is equal to or less than the predetermined reference value (“Yes” in step S208), the fraud detection unit 117 considers that the possibility of fraud is low and outputs an alert notifying the labor shortage (step S209). ). Specifically, the fraud detection unit 117 sends an e-mail in a predetermined format notifying that the labor force is insufficient to a predetermined e-mail address, for example, a predetermined department of the receiving company, a window of a support organization, or the like in advance. It is conceivable to send to the specified e-mail address. Then, the fraud detection unit 117 ends the fraud detection process.

The above is a flowchart showing an example of fraud detection processing. According to the fraud detection process, if there is a correlation between the amount of reduction in withdrawal of workers and the shortage of labor during a period of labor abnormality, there is a possibility of fraud, and if not, labor It is possible to detect and notify that there is a possibility of lack of power.

FIG. 12 is a diagram showing an example of a labor shortage notification screen. The labor shortage notification screen 510 is an alert screen for notifying the labor shortage in step S209 of the fraud detection process. The labor shortage notification screen 510 includes information 511 that identifies the target period for fraud detection and information 512 that explains that the labor shortage has been detected. In addition, the labor shortage notification screen 510 may show the business results, the working hours expected to obtain the business results, and the actual working hours.

FIG. 13 is a diagram showing an example of a fraud detection alert screen. The fraud detection alert screen 610 is an alert screen for notifying that there is a possibility of fraud in step S204 of the fraud detection process. The fraud detection alert screen 610 includes information 611 that identifies a target period for fraud detection, and information 612 that explains that the possibility of fraud has been detected. In addition, on the fraud detection alert screen 610, if there is a deposit outside the salary, the cause code "E001" is the consideration for the shortage of labor (X) and the decrease from the worker's withdrawal baseline. If the degree of correlation of the quantity (Y) with the total of all foreign workers in the company exceeds the second reference value, the cause code "E002" may be indicated respectively. ..

Although the embodiments according to the present invention have been described above, the present invention is not limited to the above-mentioned examples of the embodiments, and includes various modifications. For example, in step S208 of the fraud detection process, the fraud detection unit 117 determines whether or not the index value representing the degree of correlation is equal to or less than a predetermined reference value (second reference value). In addition, for example, the amount of decrease (Y) in the withdrawal amount from the salary of an individual foreign worker is a predetermined third reference value (for example, an amount equivalent to 50% of the withdrawal baseline or a fixed amount). When the amount exceeds (that is, when the withdrawal amount is significantly reduced), it may be determined that there is a possibility of improper payment, and the cause code may be E003 to output an alert in step S204.

Further, for example, an example of the above-described embodiment has been described in detail in order to make the present invention easy to understand, and the present invention is not limited to the one including all the configurations described here. Further, it is possible to replace a part of the configuration of one example of a certain embodiment with the configuration of another example. It is also possible to add the configuration of another example to the configuration of one example of one embodiment. Further, it is possible to add / delete / replace a part of the configuration of one example of each embodiment with another configuration. Further, each of the above configurations, functions, processing units, processing means and the like may be realized by hardware by designing a part or all of them by, for example, an integrated circuit. In addition, the control lines and information lines in the figure indicate what is considered necessary for explanation, and do not necessarily indicate all of them. You can think of almost all configurations as interconnected.

Further, the functional configurations of the fraud detection device 100, the receiving company device 200, the financial processing device 300, and the electronic money management device 400 are classified according to the main processing contents in order to facilitate understanding. The invention of the present application is not limited by the method of classifying the components and the name. As shown above, the configurations of the fraud detection device 100, the accepting company device 200, the financial processing device 300, and the electronic money management device 400 can be further classified into more components according to the processing content. It can also be categorized so that one component performs more processing.

1: Foreign employment support system, 11: Computational device, 12: Memory, 13: External storage device, 14: Input IF, 15: Output IF, 16: Communication IF, 17: Storage medium drive device, 18: Media, 100 : Fraud detection device, 110/210/310/410: Processing unit, 111: Labor productivity identification unit, 112: Regular deposit / withdrawal identification unit, 113: Labor shortage determination unit, 114: Temporary deposit detection unit, 115: Insufficient labor Consideration calculation unit, 116: Withdrawal increase identification unit 117: Fraud detection unit, 130/230/330/430: Storage unit, 131: Accepting company information, 132: Worker information, 150/240/340/440: Input Department, 160/250/350/450: Output unit, 170/260/360/460: Communication department, 200: Accepting company equipment, 211: Information provision department, 231: Performance information, 232: Attendance information, 233: Salary payment Information, 311.41: Account information provider, 300: Financial processing device, 331.41: Transaction history information, 400: Electronic money management device, N: Network

Claims (9)

1. A storage unit that stores information that identifies the results of a predetermined aggregation period for each company and information that specifies the amount of salary paid to foreign workers of the company.
   Withdrawal increase identification department that acquires the withdrawal history from the account of the financial institution of the foreign worker individual,
   A labor shortage determination unit that determines that there is a labor shortage when the actual salary payment amount related to the result is less than the predetermined first reference value.
   Using the withdrawal history of the foreign worker of the company, the total amount of decrease in the withdrawal amount in the labor shortage state as seen from the withdrawal amount not in the labor shortage state, and the withdrawal amount of the company The degree of correlation with the amount of consideration according to the shortage of labor is analyzed, and if the degree of correlation is less than or equal to the second reference value different from the first reference value, the labor is insufficient. A fraud detection unit that outputs the fact that there is a possibility of fraudulent payment when the degree of correlation exceeds the second reference value.
   A fraud detection device comprising.
2. The fraud detection device according to claim 1.
   The Labor Productivity Identification Department, which calculates the first reference value using the salary payment amount for a predetermined period and the actual value of the result for each company.
   A fraud detection device comprising.
3. The fraud detection device according to claim 1 or 2.
   Information that identifies the type of business of the company is stored in the storage unit.
   The Labor Productivity Identification Department, which calculates the first reference value using the salary payment amount and the actual value of the result for a predetermined period of a plurality of the companies belonging to the same industry as the company.
   A fraud detection device comprising.
4. The fraud detection device according to any one of claims 1 to 3.
   It is equipped with a temporary deposit detection unit that acquires the deposit history of the foreign worker's individual financial institution.
   The fraud detection unit outputs that there is a possibility of fraudulent payment to the individual foreign worker in the state of labor shortage when there is a payment other than salary.
   A fraud detection device characterized by this.
5. The fraud detection device according to claim 4.
   In the fraud detection unit, the foreign worker in the state of labor shortage has a non-salary payment, and the decrease in the actual salary payment amount of the company is the amount of the non-salary payment. Output that there is a possibility of improper payment if it corresponds to
   A fraud detection device characterized by this.
6. The fraud detection device according to any one of claims 1 to 5.
   The fraud detection unit outputs that there is a possibility of fraudulent payment when the amount of decrease in the withdrawal amount from the salary of the foreign worker individual exceeds a predetermined third reference value.
   A fraud detection device characterized by this.
7. A foreigner employment support system having a fraud detection device and a receiving company device and a financial processing device communicatively connected to the fraud detection device.
   The receiving company equipment is
   A storage unit that stores information that identifies the results of the company's own company during a predetermined aggregation period and information that specifies the amount of salary paid to foreign workers of the company.
   It is provided with an information providing unit that provides information on the results and the salary payment amount in response to a request from the fraud detection device.
   The financial processing device is
   In response to a request from the fraud detection device, an information providing unit that requests the transaction history information for specifying the transaction history of the foreign worker's individual account from a predetermined financial institution and provides the transaction history information acquired. , With
   The fraud detection device is
   The Labor Productivity Identification Department, which asks the receiving company equipment for information on the results and the salary payment amount,
   Withdrawal increase identification unit that asks the financial processing device for information on the withdrawal history from the account of the financial institution of the foreign worker
   A labor shortage determination unit that determines that there is a labor shortage when the actual salary payment amount related to the result is less than the predetermined first reference value.
   Using the withdrawal history of the foreign worker of the host company, the total amount of decrease in the withdrawal amount in the labor shortage state as seen from the withdrawal amount not in the labor shortage state, and the company The degree of correlation between the amount of consideration according to the shortage of labor and the degree of correlation is analyzed, and if the degree of correlation is less than or equal to the second reference value different from the first reference value, it means that there is a labor shortage. A fraud detection unit that outputs that there is a possibility of fraudulent payment when the degree of correlation exceeds the second reference value.
   A foreigner employment support system characterized by being equipped with.
8. A program that makes a computer function as a fraud detection device
   The fraud detection device is made to function as a storage unit and a processing unit.
   The storage unit stores information for specifying the results of the predetermined aggregation period for each company and information for specifying the amount of salary paid to foreign workers of the company.
   In the processing unit
   Withdrawal increase identification procedure to acquire the withdrawal history from the account of the financial institution of the foreign worker individual, and
   A labor shortage determination procedure for determining a labor shortage when the actual salary payment amount related to the result is less than the predetermined first reference value, and
   Using the withdrawal history of the foreign worker of the company, the total amount of decrease in the withdrawal amount in the labor shortage state as seen from the withdrawal amount not in the labor shortage state, and the withdrawal amount of the company The degree of correlation with the amount of consideration according to the shortage of labor is analyzed, and if the degree of correlation is less than or equal to the second reference value different from the first reference value, the labor is insufficient. A fraud detection procedure that outputs the fact that there is a possibility of fraudulent payment when the degree of correlation exceeds the second reference value.
   A program characterized by executing.
9. It is a method of detecting unfair labor practices of foreign workers using a fraud detection device.
   The fraud detection device includes a storage unit, a processing unit, and a storage unit that stores information that identifies the results of each company during a predetermined aggregation period and information that specifies the amount of salary paid to foreign workers of the company. With
   The processing department has a withdrawal increase identification procedure for acquiring the withdrawal history from the account of the individual financial institution of the foreign worker, and
   A labor shortage determination procedure for determining a labor shortage when the actual salary payment amount related to the result is less than the predetermined first reference value, and
   Using the withdrawal history of the foreign worker of the company, the total amount of decrease in the withdrawal amount in the labor shortage state as seen from the withdrawal amount not in the labor shortage state, and the withdrawal amount of the company The degree of correlation with the amount of consideration according to the shortage of labor is analyzed, and if the degree of correlation is less than or equal to the second reference value different from the first reference value, the labor is insufficient. The fraud detection procedure, which outputs the fact that there is a possibility of fraudulent payment when the degree of the correlation exceeds the second reference value, is carried out.
   A method for detecting unfair labor practices of foreign workers, which is characterized by the fact that.

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