WO2019156590A1

WO2019156590A1 - Method and system for calculating an illegal activity risk index of job applicants and current employees

Info

Publication number: WO2019156590A1
Application number: PCT/RU2018/000537
Authority: WO
Inventors: Павел Александрович БОРЗОВ; Дмитрий Александрович ОБОЙДИХИН
Original assignee: Павел Александрович БОРЗОВ; Дмитрий Александрович ОБОЙДИХИН
Priority date: 2018-02-12
Filing date: 2018-08-16
Publication date: 2019-08-15
Also published as: RU2683190C1

Abstract

The invention relates to a method and a system for calculating and lowering an index of corruption risks and other illegal activities of job applicants and current employees. In the present method, test settings and source data on an organization are entered; all data are assigned a specific weighting and numerical scores; questions are selected and visualized on a graphic user interface in testing units by means of a randomization submodule, said questions relating to analyzing a user's psychological profile, social activity, assets, career, and legal literacy, and a field for entering answers to the questions by means of peripheral data entry devices is provided; after the answers are entered, the data are transferred to a module for analysis and conversion of the received data, where the data are converted to a common format and then transfered to a module for comparison, generalization, combination, and mutual exclusion, where the data are compared, generalized, excluded, or combined; the processed data are transferred to a module for calculating a corruption risk index, where a corruption risk index is calculated, taking into account the processed data and the coefficients of the specific weighting of the risk, and said index is transferred to a final report and recommendation module, which generates a result with recommendations for improving scores.

Description

METHOD AND SYSTEM FOR CALCULATING THE RISK INDEX OF ILLEGAL ACTIONS BY THE CANDIDATES FOR EMPLOYMENT AND EXISTING EMPLOYEES

The group of inventions relates to the field of information technology and computer technology, and in particular to methods and systems for calculating and reducing the index of corruption risks and other illegal actions on the part of candidates for employment and existing employees. The system and method can be applied in organizations, regardless of the legal form, in executive bodies and local authorities for the objective calculation of corruption risks and other illegal behavior, as well as improving the performance of “law-abiding behavior” of public servants and employees (dynamic action). The system does not evaluate labor productivity, level of competence, qualifications or other indicators of labor.

The following solutions are known in the art.

There is a known method of analyzing the risk of corruption, which includes the stage of preliminary work - includes the collection of key data, the phase of risk assessment at the initial stage, as well as the data of key transactions within which work will be performed; risk assessment stage - determination of the appropriate risk level of a potential business partner. The level of risk helps determine the potential risk of corruption and bribery of a potential business partner. At the questionnaire stage, additional information is collected about the potential business partner and his activities, which provides an adequate basis for decision making. At the approval stage, a potential business partner is approved or rejected based on information collected in the first three stages (US patent N28630888, published 01/14/2014).

Also known is a method of a comprehensive psychophysiological assessment of individual-typological features of a targeted activity of a person, containing a preliminary interview, collecting and evaluating information about a person using a socio-biographical questionnaire, conducting a psychophysiological test, including setting parameters of the visual-motor test, and recording the initial functional voltage, automatic recording of all test results in a personal data file, cardiac rhythm registration, on the basis of which the functional voltage is evaluated, as well as processing and analysis of the obtained data (RF patent Ns2314029, published 01/10/2008).

Currently, existing products on the market are highly specialized software and hardware tools that can calculate the psychological component of a person that does not include objective data about a person (candidate or employee). These products do not allow to objectively and fully determine the degree of risk of illegal behavior on the part of a specific individual.

The proposed system and method includes not only the basics of research in the field of psychology, but also the calculation of the sociological profile, property indicators, actual human behavior in society, corporate opportunities (the individual’s action in dynamics - last job / current job), calculation of satisfaction index and involvement in the work process, calculation of erudition and awareness in the field of relevant legislation, identification and calculation of the risk of participation in corruption schemes, actual regulation tion by the employer, and the data obtained are compared with the indices of public databases.

The technical result of the group of inventions is to determine the risk of illegal (corrupt) behavior with an accuracy of 99% and minimize the error of the psychological component through a digital algorithm for calculating data obtained using a hardware-software complex. The invention also provides an improvement in the index of corruption risks and other illegal actions, and includes an automated algorithm for developing the necessary measures and actions on the part of the employer (including specific services of the employer). In addition, the use of the invention allows you to take into account the relationships in the organization and correlate the indicator based not on a specific individual, but on the whole organization. It is completely excluded A “formal” approach to combating corruption, opening up risk zones, both on the part of workers and organizations.

The claimed technical result is ensured by using the system to calculate the risk index of illegal actions by the user, including

a personal computer containing the logical part of the system, as well as peripheral data input devices, including a keyboard, mouse, graphic tablet, scanner, means of audio and video fixation, as well as sensors for non-invasive monitoring of the user's physical condition, connected to the computer,

while the logical part of the system includes

registration and login module using encryption and a secure protocol,

an autonomous data input module, made with the possibility, based on the data entered in the registration and login module, to additionally collect data about the test individual from public and connected databases located on the Internet and on local servers;

a testing module containing a database of questions on key areas of an individual’s activity, configured to provide a given number of random questions from the total number available through a randomization module,

a local source data module containing data and settings applicable to a single organization,

an archive information storage module containing the history of the use of the system by all users in a particular organization, as well as the history of all local settings and versions of the system, as well as a systematic database of current legislation and a relevant database of corruption schemes, practices and information on cases of illegal actions; a module for comparison, generalization, complementarity and mutual exclusivity, made with the possibility of processing data obtained from different fields of research in different formats;

a module for analyzing and converting the received data, configured to convert the received data into a single calculation system based on the established parameters;

a module for calculating the index of corruption risks and illegal actions, made with the possibility of calculating the final value of the index of corruption risk, and also identifies key risk points;

module of the final report and recommendations, made with the possibility of forming the final calculation result and recommendations for eliminating key risk points.

In the particular case of the invention, user interface data input devices include a keyboard, mouse, touchpad, scanner, and tablet.

In the particular case of the invention, the system includes a response / data input meter for each field.

In the particular case of the invention, sensors for non-invasive monitoring of the physical condition of the user include a galvanometer, a means for measuring the purity of the heartbeat.

In the particular case of the invention, the randomization submodule is configured to determine the frequency of the user's photo and video recording during the test.

The claimed technical result is also ensured by using the method of calculating the risk index of illegal actions on the part of the user, including the stages at which

enter the initial data on the organization and settings of the test, assign all the data specific gravity and digital indicators,

register user data in the system, generate an individual username and password, transmit an individual the username and password to the user’s device via the Internet or mobile communications, through the data input module, an individual login and password are entered into the system computer, which are analyzed by the registration and login module, if successful, the logical part of the system provides access to the testing program that is being implemented by means of a graphical user interface and including test units, in which, by means of a randomization submodule, they are also selected on the graphical user interface When visualizing questions related to the study of the psychological portrait of the user, social activity, property, career and legal literacy of the user, the field for entering answers through peripheral data input devices as data is entered after entering the data, the data is transmitted via the protocol to the analysis and conversion module of the received data , where the data is converted to a single format, then to the module of comparison, generalization, complementarity and mutual exclusivity, where the data in a single format, obtained and of different test blocks, are compared, generalized, excluded or supplemented, the processed data is transferred to the corruption risk index calculation module, where the corruption risk index is calculated taking into account the processed data and risk specific gravity coefficients, which are transferred to the final report and recommendation module, where the result is generated in readable format with recommendations for improving indicators.

A key factor in the accuracy of the method of calculating the corruption risk index is a digital algorithm for calculating data obtained using a hardware-software complex. In the process of data processing, in connection with the use of objective and material indicators, the risk index of illegal (corrupt) behavior is formed as accurately as possible and the error of the psychological component is minimized.

Example: “According to the result of a psychological test, a person may have a high predisposition to illegal behavior. However, if you introduce an objective parameter, such as the unavailability of the order by material means at the workplace, recording telephone conversations and constant monitoring by surveillance cameras, the index of corruption risks and other illegal actions is automatically reduced. ”

In addition, the complex is aimed at improving the index of corruption risks and other illegal actions, and includes an automated algorithm for developing the necessary measures and actions on the part of the employer (including specific services of the employer).

In a dynamic long-term application, the complex takes into account relations in the organization and correlates the indicator on the basis of not a specific individual, but the entire organization as a whole.

The method completely eliminates the “formal” approach to combating corruption, revealing risk areas, both from the side of employees and from organizations.

The present invention can be implemented in various systems and methods based on one or more applications running on a personal computer, communicator, tablet, mobile phone by connecting to a server (s) via a local area network or the Internet via a secure communication channel.

Next, the solution is illustrated by reference to the figures, which show the following.

FIG. 1 - system configuration for calculating the risk index of illegal actions.

FIG. 2 - a block diagram of the system in accordance with the method of calculating the risk index of illegal actions.

According to figures 1 - 2, the configuration of the system for calculating the risk index of illegal actions contains:

1 - Central processor;

2 - memory;

3 - ZUPD (mass storage device with random access);

4 - Printer interface;

5 - Highway (System bus); 6 - LAN data transfer controller;

7- I / O ports;

8 - RAID controller;

9 - Video adapter; 10 - Database;

1 1 - Monitor;

12 - Registration and login module;

13 - User input module;

14 - Stand-alone data input module; 15 - Database of passports, fines, criminal records;

16 - Social networks;

17 - Module for input and analysis of data from special technical means;

18 - Tablet; 19 - Scanner;

20 - Timer;

21 - Testing module;

22 - Database of questions;

23 - Submodule of randomization; 24 - Local source data module with a database (DB);

25 - Module for archival storage of information with a database of current legislation, corruption schemes;

26 - Comparison module;

27 - Module for analysis and conversion of received data;

28 - Module for calculating the index of corruption risks and illegal actions;

29 - Module of the final report and recommendations; 30 - User database;

31 - Database of input errors and unauthorized connection attempts;

32 - Database of personal information;

33 - Database of test results.

The hardware of the complex is based on connecting a remote computer to the server, the configuration shown in figure 1. This server configuration is presented as a model and may vary from the tasks, computing power and needs.

The system includes a computer with a machine-readable medium containing a logical part, consisting of modules connected and integrated into a single inextricable circuit, with duplicating elements:

The registration and login module 12 using encryption and a secure protocol (it is possible to use a multi-level cryptographic system).

The user-computer user input module 13, consisting of data input devices, such as a keyboard, mouse, touchpad, scanner, tablet, or other hardware.

The computer-to-computer data input module is an autonomous data input module 14, in automatic mode, based on the data entered in module 13, additionally collecting data about the test individual from public and other connected databases 15, 16 located on the Internet and on local servers.

The data input and analysis module using special technical means 17, such as:

• Means of audio, photo, video recording;

• Handwriting analysis is carried out by entering text into the data input module through a handwriting identification device (graphic tablet) 18 and / or using an optical-mechanical device for converting graphic information containing handwritten text from paper to digital form (scanner) 19. • To increase the objectivity and accuracy of the calculation, the module may contain a non-invasive device used in functional diagnostics to determine, measure and track heart rate (heart rate monitor) and the level of alarm during the study.

• The module includes a 20-response / data input time meter for each field, which also (depending on the specific system configuration) can be activated independently from the data input module.

• Galvanometer - registers a change in the electrical resistance of the skin, which depends on the intensity of perspiration, the list of technical means is not exhaustive and depending on the tasks it may be supplemented.

The module is also used throughout the study, taking pictures of the test subject to confirm the identity of the subject (excludes falsification of the results of the study). The frequency of photofixation is determined by the submodule of randomization.

Testing module 21 - contains a database of questions 22 on several key areas of the individual's activity. Also includes a submodule of randomization 23 (the issuance of a certain number of random questions (tasks) from the total number available).

Local initial data module 24 - contains data and settings applicable to a specific organization (system of basic business processes, distribution of powers, etc.). It is an autonomous and unique module for each organization that critically affects the accuracy of the method for calculating the index of illegal actions.

Archive information storage module 25 - contains the history of the use of the system by all users in a single organization, as well as the history of all local settings and versions of the system (it is possible to transfer the module to a universal database mode containing archive information about all users in all organizations). The module also contains a systematic database of current legislation applicable to this method and a relevant database of corruption schemes, practices and information on other cases of illegal actions (depending on the tasks of a particular organization, databases can be taken out in a stand-alone module).

Comparison module 26, generalization, complementarity and mutual exclusivity - the task of the module is to process data obtained from different research areas in different formats (for example, data from different areas can strengthen, supplement, replace or exclude each other from the final calculation before they get into module 27 )

The module for analysis and conversion of received data 27 - the task of the module is to convert the received data into a single calculation system based on the established parameters.

The module for calculating the index of corruption risks and other illegal actions 28 - in accordance with the specified algorithm, calculates the final value, and also identifies key risk points.

The module of the final report and recommendations 29 - forms the final result of the calculation and recommendations for the elimination of key risk points.

The order of interaction of the modules and research units is shown in FIG. 2. The preparatory stage (internal research unit) before using the system is the centralized data input from the organization (administrator settings) by using the appropriate data input modules and the local settings module (preset). The internal research unit contains information about the organization in the main areas (optional), such as: staffing, organizational structure, distribution of powers and competencies (task setting), property management procedures, ethical standards (gift regulation), the number of checking and controlling functions, etc. .d. All data, through modules 24 and 27, is assigned specific gravity and digital indicators, in accordance with the algorithm of the method.

Block 0: Login

The administrator first enters into the User Database 30 information about authorized users who will use system and to which access is granted. An individual login and password is transmitted to the user by sending a letter to an email address or sending an SMS to a phone number.

The user enters the received individual login and password. Through module 12, a secure verification of information from the user database 30 takes place. If the user is present in the database, then he gets access to the system in accordance with the characteristics provided by the administrator (one-time access, permanent access or limited time access). Otherwise (the username is incorrect, the password is incorrect or the user has expired), the user is given a message and information about the login attempt is entered into the database of login errors and unauthorized connection attempts 31 with the time and IP address of the computer from which there was an attempt to access system.

Block 1: Personal Information

The use of the method by the tested individual begins with the familiarization and signing of an agreement on the transfer and use of personal data and the subsequent input of personal information through module 13. Personal information contains basic information about the tested individual, such as:

Personal data - name, passport data, TIN, SNILS, driver’s license, education diploma, family and immediate family members (indicating areas of activity);

Physical data - height, weight, age, medical data (presence of pathologies and chronic diseases).

Property - real estate, vehicles.

And other personal information.

Part of the data, as it is filled, is subject to autonomous verification using module 14 (as an example, the passport is checked for validity in database 15, the diploma is checked for authenticity, the number of fines and the degree of danger of violations are checked, and taxes and fees, the availability of court cases, the availability of enforcement proceedings);

Part of the data is sent directly to module 27 for decryption.

Part of the data falls into module 26 for subsequent adjustment and analysis.

Block 2: Study of the psychological portrait of the subject.

Consists of the following basic elements:

1. Research in the field of type of thinking (non-standard thinking) includes the subject’s work using graphical forms and color solutions, as well as solving situational tasks (random tasks, but similar in type, are selected using the randomization module, which increases efficiency and accuracy results in the total mass of subjects). Sample tasks - “creating a non-existent animal”, “creating a personal defender” with subsequent situational tasks. If there is technical feasibility, it is possible to connect the module 17 in terms of handwriting recognition.

2. Research in the field of personality traits of the tested individual is carried out using module 17 — facial features analysis, handwriting analysis;

3. Research in the field of subjective psychology - testing the test individual using the most effective and relevant methods for the tendency to illegal behavior (general questions). It is carried out using modules 13, 21, as well as 17 (if technically possible).

4. Research in the field of objective psychology - testing of actual behavior and psychological state in the context of current legislation and known practices of illegal behavior (module 25). This study is narrowly targeted and allows you to most effectively identify the degree of risk of the actual participation of the subject in the “gray” illegal schemes and other illegal acts (possible setting up the system for a specific industry - for example, illegal schemes in the field of medicine).

For comparison:

An example under paragraph 3: “Do you commit an illegal act if you are sure that you can evade responsibility?” - the question is general and subjective;

Example under paragraph 4: “Do you use common vague wording and / or allegorical expressions in communication with company counterparties? - The question of specific objective human behavior. At the same time, such behavior is a symptom of an increased risk of corruption and deliberate evasion of responsibility established at the level of statistical indicators.

The study is carried out using modules 13, 21, 25, as well as 17 (if technically possible).

Block 2 data is sent to module 26 for further processing. In particular, the received data from module 14 is compared for confirmation or refutation.

For example, summarizes the data in the link “the presence of fines for serious offenses - a tendency to illegal behavior and the actual answers under paragraphs 3 (“ I accept / do not accept violation of the law ”and 4 (“ I broke / did not break the law ”).

Block 3: Social Activity

This block of research is aimed at identifying the subject’s social circle, social status (including a sense of social status), interests (hobbies), prevailing values (work / family / friends).

It is carried out using module 13 and module 25 in terms of determining intersection with other subjects for the subsequent assessment of a possible conflict of interest.

In some cases, taking into account the organization’s policies, a study using module 14 is possible to more accurately determine the circle communication through social networks 16, and, as a result, processing data on possible contacts with the “risk group”.

Block 3 data is sent directly to module 27.

Block 4: Property

The study is carried out using module 13 and is aimed at identifying the index of security of the subject and his immediate environment. The purpose of this block of research is not to establish the actual well-being of the test individual, but the patterns and validity of sources of income.

This block includes the collection of data on income, sources of income, correlates with other blocks in terms of expenses (for example, is it possible to support a family for the specified income, taking into account the indicated interests and hobbies).

Module 25 is connected in dynamics for calculating the improvement / worsening of the level of well-being of the tested individual and his family, as well as fixing the facts of a sharp change in indicators (for example, an increase in income by more than X% during the reporting period).

Block 4 data is sent directly to module 27.

Block 5: Career

The study is performed using the combined use of modules 13, 14, 21, 24 and 25 ^* .

The subject enters basic data on his production activities, such as: position, unit (department / department), work experience, composition of powers, ability to dispose of the organization’s property, area of interaction “customer-executor”, composition of controlled functions and employees, the composition of its activities functions and employees, methods of incoming and outgoing control, career history (reasons for dismissals, promotions, transitions, etc.), as well as other significant data. The data provided by module 14 are compared with the predefined data of module 24 and the data of module 25. Next, the test individual through module 21 undergoes testing aimed at assessing actual understanding local business processes, organization regulation and the level of acceptable behavior (including compliance with ethical standards).

Block 24 also includes research on the index of satisfaction and involvement in the workflow. The data obtained during the assessment of the satisfaction index are calculated by module 27, then put into correlation with other blocks and the results are sent to module 26.

The remaining data of block 5 is sent directly to module 27.

^* If the tested individual is a candidate, the system automatically correlates the calculation algorithm in terms of comparing the system existing in the organization and the system that existed in the organization of the previous employer.

Block 6: Legal Literacy

The study in the field of legal literacy is carried out using modules 13 and 21 and includes a knowledge cut (testing) of the fundamentals of anti-corruption legislation (including types and limits of liability), local regulatory acts of the organization and industry legislation.

Block 6 includes, in addition to the questions of knowledge, the decision of the individual tested legal and ethical problems.

All received data of Block 6 are sent to module 27, then part of the calculated indicators (in particular, the level of knowledge of responsibility) are sent to module 26 for evaluation in correlation.

After passing all the Blocks through modules 26 and 27, the data is sent to module 28 for the final calculation of the corruption risk index and other illegal actions. The result is sent to module 29, where it is formed in a convenient readable format with recommendations for improving indicators. Recommendations are formed on the basis of the data of module 25 and a special algorithm of the proposed method.

The result obtained is not an assessment of the tested individual, but reflects the state of the individual organization “here and now, taking into account the dynamics development ”, which significantly distinguishes the proposed system and method from similar products.

Algorithm for collecting information, processing results and generating a report.

The method includes the sequential passage of all blocks by the test individual by filling in the fields and performing actions with material objects (at least one of the devices provided by module 17).

Upon completion of the input of all data / fulfillment of tasks / answers to questions, all received data is sent to module 27 (analysis and conversion), and then to calculation module 28, where the final result is calculated by applying several successive calculation levels.

The first level of calculation is carried out within each category of each block according to the formula: q = (Xq - Nq) ^* CODq * COIq, where: q = total numerical value of the question / category indicator;

Xq = the resulting value of the question / category indicator, where Xq = X1 ^* F1 + ... Xn ^* Fn

X1 - the actual value according to the result of data entry, based on the initially set parameters of the values (usually set in the range from 0 to 1, where 0 is a negative result, and 1 is a positive result, or a value in the range from 0 to 100);

F1 is the coefficient of specific gravity of the risk factor of the obtained value X1, individually established for a specific issue, a specific category and a specific block. Subsequent values of Xn and Fn are used depending on the need to enter additional parameters and calculate additional indicators.

Nq - predefined basic value of the norm (normal indicator), at which the factor of corruption risk will be minimized; CODq - coefficient of deviation from the base value Nq, the value of which is set depending on the occurrence of certain events (the resulting result Xq-Nq (examples of values in Table 1):

Table 1. The values of the deviation coefficient depending on the base value of Nq.

“A” and “b” are also predefined partial parameters defining the boundaries of values that have a key influence on the value of the deviation coefficient.

COIq - correlation coefficient established for specific questions / data and interconnecting exclusive values, complementing values or correlating values and calculated by the formula:

COIq = Xz - Nz, where z is the set question / task number, on which the correlation coefficient depends on the answer. The question may be in a different block than the original question.

Application of the formula for calculating the possibility of corruption risk of a particular issue of block 1 category (example 1):

To calculate corruption risk, it is important whether relatives work in this organization (at the same time namesakes do not increase the risk factor), as well as the degree of intersection of their powers and the availability of proper control over the identified risk zone.

The input field “Last name” is analyzed - the method, through modules 25 and 26, searches for matches of the last name with other users. The actual result is selected from the values 0 - no matches and 1 - matches (each match = 1).

The input field “immediate family” is analyzed - the method, through modules 25 and 26, searches for matches of the last name with other users. The actual result is selected from the values -1 - no matches and 1 - matches (each match = 1).

The input field “field of activity” is analyzed in the categories of relatives and categories of personal data - the method, through modules 25 and 26, searches for matches of fields of activity (intersection of labor functions) with other users. The actual result is selected from the values -1 - no matches and 1 - matches (each match = 1).

Thus, the first part of the formula is calculated according to possible scenarios: q = (Xq - Nq) * CODq * COIq, where

Xq = X1 * F1 + X2 * F2 + X3 * F3, where

X1 - the coincidence value of the surname F1 - the coefficient of the specific gravity of the risk, in this particular issue set to 5;

X2 - the value of the coincidence of the family name and kinship; F2 - coefficient of the specific gravity of the risk, set in this particular issue as 7 (since the presence of family ties within the framework of the activity carried out is a significant indicator of the risk of corruption);

ХЗ - the value of coincidence of the field of activity F3 - coefficient of the specific gravity of risk, set as 6 in this particular issue (the presence of other users within the same field of activity is almost inevitable, but this parameter significantly affects the calculation if the value of X2 is positive).

Possible outcomes:

Xq = 1 * 5 + 1 ^* 7 + 1 ^* 6 = 18

Xq = 0 * 5 + 1 ^* 7 + 1 * 6 = 13

Xq = 1 * 5 + 1 ^* 7 + -1 * 6 = 6 Xq = 1 * 5 + -1 ^* 7 + 1 * 6 = 4

Xq = 1 ^* 5 + -1 ^* 7 + -1 * 6 = -8

Xq = 0 ^* 5 + -1 ^* 7 + -1 ^* 6 = -13

Xq = 0 ^* 5 + -1 * 7 + 1 * 6 = -1

Based on the results obtained, reliable confirmation is obtained that any value below 6 does not carry the risk and threat of corruption consequences (acts).

Nq - the norm of indicators in the formula is set equal to 5, so the first part of the formula (Xq - Nq) can have the following results:

18 - 5 = 13; 13 - 5 = 8; 6 - 5 = 1 and further with results with a negative value.

CODq - the deviation coefficient in this case is set based on the presence or absence and is applied within 1 or 0 depending on the resulting values.

CODq = 0 if Xq - Nq <5

CODq = 1 if Xq - Nq 6

The remaining COIq parameter is calculated if a particular issue has mutually exclusive factors that supplement or change the specific gravity of the risk.

If there are no applicable factors, the base value is set to 1.

In this given example, the absolute coefficient of COI depends on the calculation of the question of legal and actual regulation of the “sphere of intersection” by the organization (including the number of controlling links). To simplify the calculation and illustrate the example, it should be noted that the COI coefficient in most cases varies from 0 (i.e., internal regulation completely eliminates the occurrence of corruption consequences between users) to 3 (in cases where close relatives work in the same intersection area in the complete absence regulation and control). The next step, after calculating all categories within one block, is calculating the total value of the block as a whole using the formula block = (Xblock - Nblock) * CODblock * COIblock, where all values of questions from this block are substituted into Xblock from the sum of which the Nblock parameter is deducted (norm of the block indicator )

CODblock - in most cases, it is calculated according to a principle similar to the calculation of a specific category, however, the peculiarities of the significance of the unit weight of the risk of the block as a whole are taken into account.

COIblock - also, in most cases, it is calculated according to a principle similar to the calculation of a specific category, however, the peculiarities of the significance of the specific weight of the risk of the block as a whole and the ratio of key indicators of other blocks are taken into account.

The final indicator of the corruption risk index is calculated using a similar formula, however, within the framework of the ratio of all blocks and the addition of the parameter V (Valid)

Final = (XFinal - NFinal) * CODFinal * COIFinal ^* V

Parameter V is calculated based on the indicators of module 17 (indicators of photo fixation) in terms of checking the use of the Method by one person.

In the case of using the Method with module 17 connected, the values of the V parameter are set from 0 (user changed) to 1 (user confirmed). If module 17 is not connected, parameter V is considered equal to 1 and it is considered that the user is confirmed.

Within the framework of a specific question (where it matters), the COTq parameter can be added (if connected) to the formula q = (Xq - Nq) * CODq * COIq, which is the coefficient of time spent on the answer, which is established and calculated by the formula:

COTq = x if T <x1

COTq = y if x1 <T ^ x2.

COTq = z if x2 <T <°° Where x, y, z are the possible values of the coefficient COTq, and x1 and x2 are the indicator of time for the answer, and T is the actual time spent on the answer. The use of the block is especially relevant when calculating the categories of block 2 in terms of the categories of "subjective psychology" and "objective psychology".

Within the framework of a specific issue (where it matters), the parameter COPq, which is the coefficient of anxiety (heart rate), can be added to the formula q = (Xq - Nq) * CODq ^* COIq, which is set and calculated by the formula:

COPq = x if P <x1

COPq = for if x1 <P <x2.

COPq = z if x2 <P <°°

Where x, y, z are the possible values of the COPq coefficient, x1 and x2 are heart rate indicators, and P is the actual heart rate during the answer. The use of the block is especially relevant when calculating the categories of block 2 in terms of the categories of "subjective psychology" and "objective psychology".

In addition, the Method allows you to determine the degree of change (decrease or increase) in the corruption risk index by comparing the indicators of several results of using the Method.

When calculating the degree of change in corruption risks, the actual implementation of the recommendations of the method, i.e. the organization’s actions in relation to a particular subject to reduce the corruption risk index.

Direct actions, such as a change in subordination, an increase in controlling persons, a change in the structure of the business process are reflected in an objective format, as changes are actually made to module 24 (local source data), which reduces the result of calculating the corruption risk index.

Indirect actions, such as an explanatory conversation, a seminar, a lecture, a motivating video clip, etc. are introduced into the formula for calculating a specific issue and / or block as an additional parameter of SOA, which reduces the corruption risk index. SOA is established on the basis of objective parameters of the effectiveness of indirect action. For example, on Based on numerous studies, it seems possible to make a reliable statement that holding a seminar on combating corruption reduces the total number of corruption offenses in the range from 5 to 7% - i.e. in most cases, when organizing events in the form of a seminar, the SOA will be 0.95 and will be applied depending on the content of the seminar to specific categories (questions) or block / blocks.

In addition to applying the formula Final = (XFinal - NFinal) ^* CODFinal * COIFinal, at the stage of calculating each question using the formula q = (Xq - Nq) * CODq * COIq, each question belongs to one (or more) of the three directions: Motive, Opportunity and Predisposition. The net (without taking into account the coefficients) q result obtained by the formula q = (Xq - Nq), depending on the installed accessories, is sent for calculation in the corresponding direction.

In the course of passing all the questions, the direction is calculated where the risk of corruption consequences is highest. Calculation of the risk of a direction is made by simply comparing the results in each direction (in each direction an identical formula: X = £ Q).

Thus, the final result of the method shows, in addition to the general risk indicator, an indicator of the most risky direction.

Application of the Method for calculating the possibility of corruption risk of a particular issue in the category of block 1 (example 2):

The input field “driver’s license” is analyzed - the method, through module 14 searches and checks the driver’s license for fines, the presence of unpaid fines.

The actual result is selected from the values 0 - no matches and 1 - matches (each match = 1). q = (Xq - Nq) ^* CODq ^* COIq

Nq - the norm in this matter is set equal to 0, because fines are expected to indicate destructive behavior. At the same time, it was also established that the presence of a small number of fines does not indicate a reliable installation of the test subject to commit an unlawful act, while a systematic violation of traffic rules carries an increased risk of unlawful acts. In accordance with studies and statistics in the field of administrative offenses, the systematic nature is traced from 5 or more offenses.

Thus, CODq will be calculated according to table 2.

Table 2. The values of the deviation coefficient depending on the base value of Nq.

For the objectivity of calculating the corruption risk, it should be understood that the presence of fines (even a large number of them) must be checked for their severity, because actual destructive behavior is manifested in the presence of established guilt in committing high-risk administrative offenses that threaten the life and health of citizens (for example, systematic speeding by more than 60 km / h or going into the oncoming lane). Such information in this matter refers to the calculation of COIq.

The method automatically selects from the fines found, offenses related to medium and high severity and selects the COIq value from the table:

Table 3. The values of the deviation coefficient depending on the base value of Nq.

Consider four options for the data.

Option 1 - the subject has 10 small fines for parking and speeding (up to 20 km / h);

Option 2 - the subject has 10 fines of which two offenses of medium gravity;

Option 3 - the subject has 10 fines of which one offense of high gravity;

Option 4 - the subject has 5 fines of which one offense of high gravity

Thus, the calculation formulas will be as follows:

Q = (10-5) * 1 * 0 = 0 - which indicates the absence of corruption risk;

Q = (10-5) ^* 1 ^* 1 = 5 - there is a small risk;

Q = (10-5) * 1 * 1, 5 = 7.5 - indicates an increased likelihood of illegal behavior;

Q = (10-5) * 0 * 1, 5 = 0 - there is no corruption risk, although there is an offense of high gravity (in this situation it is unsystematic).

When considering the example, it is necessary to take into account that the results of Xq - Nq without coefficients are also sent to the calculation of the direction of the Predisposition, which ultimately increases objectivity and eliminates exceptions.

In addition, Xq - Nq results without coefficients will be used as COIq for another question: “Have you committed administrative offenses in the last year?”. If the subject lies, then, based on the obtained data, the COIq will significantly increase the factor of illegal behavior and increase the corruption risk index.

Report generation.

The final report consists of:

1. The indicator of the calculated corruption risk index from 0 to 100 with levels and description for a specific level;

2. The prevalence of any direction (Predisposition, Opportunity, Motive) with a description, depending on the result.

3. Description of the results in blocks with the identification of questions with a high degree of risk.

4. Recommendations to reduce corruption risk.

The report is generated in a readable format and transmitted to the data output module, including display devices, for example, a display, and print devices.

Claims

CLAIM

1. The system for calculating the index of risk of illegal actions on the part of the user, characterized in that it includes a personal computer containing a data output device, the logical part of the system, a data input module, including peripheral data input devices and means of audio and video fixation, as well as sensors for non-invasive control of the physical condition of the user connected to the computer,

while the logical part of the system includes

registration and login module using encryption and a secure protocol,

an autonomous data input module, configured to additionally collect data about the test individual from public and connected databases;

a local source data module containing initial parameters; an archive information storage module containing a system usage history;

a comparison module configured to process data obtained at different stages of testing;

a module for analyzing and converting data obtained from the data input module, configured to convert the received data into a single calculation system based on parameters obtained from the local source data module;

a module for calculating the index of corruption risks and illegal actions, made with the possibility of calculating the final value of the index of corruption risk and highlighting key risk points; module of the final report and recommendations, made with the possibility of forming the final result of the calculation and recommendations for eliminating key risk points in a readable format on the data output device.

2. The system according to claim 1, characterized in that the stand-alone data input module additionally collects data about the test individual based on data entered in the registration and login module.

3. The system according to claim 1, characterized in that the user interface data input devices include a keyboard, mouse, touchpad, scanner, tablet.

4. The system according to claim 1, characterized in that the data output devices include a display device and a printing device.

4. The system according to claim 1, characterized in that it includes a response / input time meter for each field.

5. The system according to claim 1, characterized in that the sensors for non-invasive monitoring of the physical condition of the user include a galvanometer, a means for measuring the purity of heart contractions.

6. The system according to claim 1, characterized in that the randomization submodule is configured to determine the frequency of the user's photo and video recording during the test.

7. The method of calculating the risk index of illegal actions on the part of the user, characterized in that it includes the stages at which

register user data in the system, generate an individual user login and password, transmit an individual login and password to the user device via the Internet or mobile communication,

through the data input module, an individual login and password are entered into the computer of the system, which are analyzed by the registration and login module, in case of successful input, the logical part of the system provides access to the testing program implemented by means of a graphical user interface and including test blocks, in which questions related to the study of a user's psychological portrait, social activity, property, career and legal literacy of a user are selected and visualized on a graphical user interface using a randomization submodule, and a field for entering answers through peripheral input devices data as you enter the results of responses through the data input module, the data is transmitted over the protocol to the analysis module for and converting the received data, where the data is converted to a single format, then to the comparison module, where the data in a single format, obtained from different test blocks, are compared, generalized, excluded or supplemented, the processed data is transferred to the module for calculating the corruption risk index and determining the index corruption risks, taking into account the processed data and the specific gravity ratios, which are transmitted to the final report and recommendations module, where the result is generated in a readable format indicating recommendations first to improve performance.