CN112001687A - Platform-based mutual-help employment method for supersaturation human resource adjustment - Google Patents
Platform-based mutual-help employment method for supersaturation human resource adjustment Download PDFInfo
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Abstract
The invention relates to a platform-based mutual-aid employment method for supersaturation human resource allocation, which comprises the following steps: s1, analyzing the supply and demand condition and the industrial structure condition of the labor amount of the personnel in the preset area, and simultaneously collecting the enterprise type, the light and vigorous season time period and the shortage amount and the surplus amount of the personnel in the light and vigorous season of the preset area; s2: acquiring light and busy season information and credit data of enterprises in a preset area, and acquiring shortage work types and excess work types of enterprises in the preset area; s3: the platform manager and the user carry out network access to the platform at any time and any place through a computer terminal or a mobile phone terminal, and the information collected in the steps S1 and S2 is led into the platform; s4: training a training sample by using a machine deep learning algorithm in a platform, constructing user data portraits of a supply party and a demand party, converting user entity labels of the supply party and the demand party into real matching results through a data center by using user data portraits labels, and matching to meet the demands of the supply party and the demand party.
Description
Technical Field
The invention relates to a mutual-aid recruitment method for human resource regulation, in particular to a platform-based mutual-aid recruitment method for supersaturation human resource regulation.
Background
In recent years, due to the influence of various factors such as national economic structure adjustment, labor supply change, human resource market competition and the like, the staged and structural shortage of enterprise employment occurs in most provinces and cities in China. Meanwhile, market competition is intensified, and the 'order' economy causes more industries to have the difference between slack seasons and busy seasons. Due to the asymmetry of the employment information, seasonal and temporary work shortage of enterprises can occur continuously; the change of employment and employment-selecting consciousness of new generations of personnel requires more flexible employment modes and flexible employment choices. No concrete method or means which can be solved at present exists.
Disclosure of Invention
The technical problem to be solved by the invention is asymmetry of labor information, seasonal and temporary shortage of workers or continuous surplus of workers of an enterprise, and the invention aims to provide a platform-based mutual labor utilization method for super-saturation human resource allocation, and solve the problem that seasonal and temporary shortage of workers or surplus of workers of an enterprise occur.
The invention is realized by the following technical scheme:
a mutual-help employment method of supersaturation human resource regulation based on a platform is characterized by comprising the following steps: s1, analyzing the supply and demand condition and the industrial structure condition of the labor amount of the personnel in the preset area, and simultaneously collecting the enterprise type, the light and vigorous season time period and the shortage amount and the surplus amount of the personnel in the light and vigorous season of the preset area; s2: acquiring light and busy season information and credit data of enterprises in a preset area, and acquiring shortage work types and excess work types of enterprises in the preset area; s3: the platform manager and the user carry out network access to the platform at any time and any place through a computer terminal or a mobile phone terminal, and the information collected in the steps S1 and S2 is led into the platform; s4: training a training sample by using a machine deep learning algorithm in a platform, constructing user data portraits of a supply party and a demand party, converting user entity labels of the supply party and the demand party into real matching results through a data center by using user data portraits labels, and matching to meet the demands of the supply party and the demand party; s5: and sending the matching result to a mobile phone terminal and a computer terminal through the platform, wherein the computer terminal and the mobile phone terminal are respectively in network connection with the platform, independently access the platform and interactively transmit information with the platform.
Further, the platform in step S3 includes an enterprise identity auditing module, a credit evaluation module, a user identity recognition module, an authority module, an enterprise employment information database and talent setting module, an employment gap information data module, and an excess manpower information data module; the enterprise identity auditing module is used for auditing the enterprise qualification credit, the enterprise social security capability, the enterprise employment condition and the enterprise financial system and condition, and is used for auditing the enterprise qualification and the work guarantee; the credit evaluation module is used for evaluating enterprise credit and enterprise employee credit and evaluating enterprise and employee credit; the user identity recognition module is used for carrying out authorized identity recognition, account information management and account identity recognition on the enterprise and confirming the identity of a system user; the authority module is used for carrying out account authority management and managing the operation authority of the user account; the enterprise recruitment information and talent setting database module is used for registering enterprise recruitment information, wherein the registration information comprises enterprise off-season time and period, excess worker number, main posts, skills, salary level, social security, age and academic information, enterprise recruitment season gap time and period, required worker number, main posts, skills, salary level providing, age requirement, academic requirement and required period information, and employment work type, post, skill and personnel quality information; the employment gap information data module is used for registering employment gap information of enterprises in a busy season; and the surplus manpower information data module is used for registering surplus information of the enterprise in a slack season.
Furthermore, the platform also comprises a talent matching module, an enterprise employment transaction module, an automatic search module, a signing and payment module, a government supervision module and a service module; the talent matching module is used for training a training sample by using a machine deep learning algorithm by the platform according to actual information of a user unit and information of workers, constructing user data images of both a supplying party and a requiring party, matching supply and demand information by a big data center according to a geographical position nearby principle, a personnel basic capability matching principle, a post correlation principle and a salary matching principle, converting the supply and demand information into a real matching result through the data center, and transmitting the real matching result to the supplying and demand party; the enterprise employment transaction module is used for changing, adding, modifying and deleting personnel in the talent database by the talent gap and the talent surplus information; modifying demand information such as work type, post, salary level, demand period and the like; the automatic searching module is used for searching and displaying unit information which can meet the given conditions in the enterprise employment information database and the talent setting module by a user; the signing and payment module is used for signing various contracts, contracts and agreements and sending bills to corresponding suppliers and demanders; the government supervision module is used for carrying out record and real-time dynamic monitoring on the mutual assistance condition of the personnel among the enterprises by government departments; the service module is used for providing coaching service work in the aspect of human resources for the registered enterprises by the platform, and comprises services such as platform use, insurance service, talent training service, enterprise mutual-help employment flow, coaching work of professional knowledge and the like.
Further, the various contracts, contracts and agreements in the contract and payment module comprise the contract, contract and agreement of the business; the signing of labor contracts, contracts and agreements is involved; signing work related to labor contracts, contracts and agreements; to electronic subscriptions between users; to electronic subscriptions between users and platforms.
Compared with the prior art, the invention has the following advantages and beneficial effects:
1. the invention relates to a platform-based mutual-help employment method for supersaturation human resource dispatching, which is characterized in that dispatching management is carried out on the shortage and surplus of enterprise weak and busy seasons in a system, and temporary surplus personnel of an enterprise are dispatched to a temporary shortage enterprise;
2. the invention relates to a platform-based mutual-help employment method for super-saturation human resource allocation, which can allocate temporary surplus personnel to temporary short regional enterprises according to the regional enterprises within a preset range; through the adjustment of short-time surplus personnel, the idle human resources and the inventory of the human resources are reduced, the peak clipping and valley filling of the human resources within the range between the regions are realized, and the inventory of the human resources is economically developed within the region and the whole country.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention. In the drawings:
FIG. 1 is a block diagram of the system of the present invention.
FIG. 2 is a flow chart of the method of the present invention.
FIG. 3 is a flow chart of the operation of the platform of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to examples and accompanying drawings, and the exemplary embodiments and descriptions thereof are only used for explaining the present invention and are not meant to limit the present invention.
Examples
As shown in fig. 1 to 3, the invention relates to a platform-based mutual recruitment method for supersaturation human resource allocation, which comprises the following steps: s1, analyzing the supply and demand condition and the industrial structure condition of the labor amount of the personnel in the preset area, and simultaneously collecting the enterprise type, the light and vigorous season time period and the shortage amount and the surplus amount of the personnel in the light and vigorous season of the preset area; s2: acquiring light and busy season information and credit data of enterprises in a preset area, and acquiring shortage work types and excess work types of enterprises in the preset area; s3: the platform manager and the user carry out network access to the platform at any time and any place through a computer terminal or a mobile phone terminal, and the information collected in the steps S1 and S2 is led into the platform; s4: training a training sample by using a machine deep learning algorithm in a platform, constructing user data portraits of a supply party and a demand party, converting user entity labels of the supply party and the demand party into real matching results through a data center by using user data portraits labels, and matching to meet the demands of the supply party and the demand party; s5: and sending the matching result to a mobile phone terminal and a computer terminal through the platform, wherein the computer terminal and the mobile phone terminal are respectively in network connection with the platform, independently access the platform and interactively transmit information with the platform.
Specifically, a service platform, a computer terminal and a mobile phone terminal are needed for implementing mutual assistance, the number of the computer terminals is at least one, the number of the mobile phone terminals is at least one, each computer terminal and each mobile phone terminal are respectively in network connection with the service platform, independently access to the service platform and interactively transmit information with the service platform;
the service platform comprises an enterprise identity auditing module, a credit evaluation module, a user identity identification module, a permission module, an enterprise employment information database talent setting module, an employment gap information data module, an excess manpower information data module, a talent matching module, an enterprise employment transaction module, an automatic searching, signing and payment module, a government supervision module and a service module.
The user completes enterprise identity verification through the enterprise identity verification module, and completes enterprise credit evaluation through the credit evaluation module to complete registration; the user inputs a user name and a password, login is successful after identity authentication is completed through the identity recognition module, and after login is successful, the user can issue enterprise recruitment information through the recruitment gap information data module and the recruitment surplus information data module and can inquire talent supply and demand information through the automatic search module; the user can update, modify and release the excess or gap information of the enterprise employment in due time through the enterprise employment transaction module; the user can realize the functions of signing, collecting and paying through the signing and payment module. The talent matching module can tag the users through an algorithm, and more accurate mutual-help employment matching is achieved.
The platform manager manages the users, the enterprise qualification is checked through the enterprise identity checking module, the enterprise credit and the credit of the mutual support personnel are evaluated through the credit evaluation module, and the operation authority of each user is managed through the authority management module; the platform manager can manage the talent database and uniformly identify and process the request information of different users; a plurality of platform managers can log in the service platform at the same time to manage the talent database, so that concurrent control is realized; the platform manager provides electronic signing services between users and electronic signing services between the users and the platform for the users through the signing and payment module; the platform manager provides accurate super-saturation human resource matching and dispensing for the user through the platform.
When talents are matched through a talent matching module of the platform, corresponding matching is carried out on the work types, the posts, the skills and the personnel qualities required by a target enterprise, the platform trains a training sample by using a machine deep learning algorithm according to the actual information of a user unit and the information of workers, user data images of both parties of supply and demand are constructed, a big data center carries out geographical position nearby principle, personnel basic capability matching principle, post correlation principle and salary matching principle, supply and demand information is matched, and the supply and demand information is converted into a real matching result through the data center and transmitted to a personnel output party and a personnel input party;
as shown in fig. 1, in an actual operation process, firstly, an enterprise registers on a platform, and may select a demand side enterprise (a personnel input side) or a supply side enterprise (a personnel output side), or may select dual identities of a demand side and a supply side at the same time, and after entering the platform, if the enterprise is in a personnel demand period, the enterprise regularly sends a gap of talents lacking in the enterprise and requirements of the type, position, skill and quality of personnel required by the enterprise to the platform; if the enterprise is in a period of excess personnel, the basic information of the labor personnel can be provided and published on the platform. The platform is used for carrying out intelligent matching, after the matching is successful, the matching information is firstly sent to the demander for confirmation, the demander enterprise pays the platform, the platform pays the supplier enterprise, and the supplier enterprise fills the talent gap required by the demander enterprise.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (9)
1. A mutual-help employment method of supersaturation human resource regulation based on a platform is characterized by comprising the following steps:
s1: analyzing the supply and demand condition and the industrial structure condition of the number of workers in a preset area, and simultaneously collecting the enterprise type, the time period of light and busy seasons and the shortage number and the surplus number of the workers in the light and busy seasons of the preset area;
s2: acquiring light and busy season information and credit data of enterprises in a preset area, and acquiring shortage work types and excess work types of enterprises in the preset area;
s3: the user accesses the platform at any time and any place through a computer terminal or a mobile phone terminal, and the information collected in the steps S1 and S2 is imported into the platform;
s4: training a training sample by using a machine deep learning algorithm in a platform, constructing user data portraits of a supply party and a demand party, converting user entity labels of the supply party and the demand party into real matching results through a data center by using user data portraits labels, and matching to meet the demands of the supply party and the demand party;
s5: and sending the matching result to a mobile phone terminal and a computer terminal, wherein the computer terminal and the mobile phone terminal are respectively in network connection with the platform, independently access the platform, and interactively transmit information with the platform to complete supply and demand matching.
2. The platform-based mutual recruitment method for the super-saturation human resource dispatching of claim 1, wherein the platform in the step S3 comprises an enterprise identity auditing module, a credit evaluation module, a user identity recognition module, a permission module, an enterprise recruitment information database and talent setting module, a recruitment gap information data module, and an excess human information data module;
the enterprise identity auditing module is used for auditing the enterprise qualification credit, the enterprise social security capability, the enterprise employment condition and the enterprise financial system and condition, and is used for auditing the enterprise qualification and the work guarantee;
the credit evaluation module is used for evaluating enterprise credit and enterprise employee credit and evaluating enterprise and employee credit;
the user identity recognition module is used for carrying out authorized identity recognition, account information management and account identity recognition on the enterprise and confirming the identity of a system user;
the authority module is used for carrying out account authority management and managing the operation authority of the user account;
the enterprise recruitment information and talent setting database module is used for registering enterprise recruitment information;
the employment gap information data module is used for registering employment gap information of enterprises in a busy season;
and the surplus manpower information data module is used for registering surplus information of the enterprise in a slack season.
3. The platform-based mutual recruitment method for supersaturated human resources dispatching as claimed in claim 2, wherein the registration information in the enterprise recruitment information and talent setting database module comprises enterprise off-season time and period, excess number of workers, prime position, skill, compensation level, social insurance, age, academic calendar information, enterprise employment season gap time and period, required number of workers, prime position, skill, compensation level, age requirement, academic calendar requirement, requirement period information, and information of employment type, position, skill and personnel quality.
4. The platform-based mutual recruitment method for the super-saturation human resource allocation according to claim 2, wherein the platform further comprises a talent matching module, an enterprise recruitment action module, an automatic search module, a signing and payment module, a government supervision module and a service module;
the talent matching module is used for training a training sample by using a machine deep learning algorithm by the platform according to actual information of a user unit and information of workers to construct a user data portrait of a supplier and a supplier;
the enterprise employment transaction module is used for changing, adding, modifying and deleting personnel in the talent database by the talent gap and the talent surplus information; modifying demand information such as work type, post, salary level, demand period and the like;
the automatic searching module is used for searching and displaying unit information which can meet the given conditions in the enterprise employment information database and the talent setting module by a user;
the signing and payment module is used for signing various contracts, contracts and agreements and sending bills to corresponding suppliers and demanders;
the government supervision module is used for carrying out record and real-time dynamic monitoring on the mutual assistance condition of the personnel among the enterprises by government departments;
the service module is used for the platform to provide the coaching service work in the aspect of human resources for the registered enterprises.
5. The method of claim 4, wherein the types of contracts, contracts and agreements in the contract and payment module include the contract, contract and agreement of business; the signing of labor contracts, contracts and agreements is involved; signing work related to labor contracts, contracts and agreements; to electronic subscriptions between users; to electronic subscriptions between users and platforms.
6. The platform-based mutual recruitment method for supersaturation human resource dispatching as claimed in claim 4, wherein said talent matching module matches supply and demand information by using big data center to perform geographic location proximity principle, personnel basic capability matching principle, post correlation principle and compensation matching principle after training, and converts the information into real matching result through data center to be transmitted to supply and demand parties.
7. The platform-based mutual recruitment method for the super-saturation human resource allocation according to claim 4, wherein the auxiliary service work provided by the service module comprises platform use, insurance service, talent training service, enterprise mutual recruitment process and professional knowledge assistance work.
8. The method according to claim 1, wherein the number of the computer terminals is at least one, the number of the mobile phone terminals is at least one, and each computer terminal and each mobile phone terminal are respectively in network connection with the platform, independently access the platform, and interactively transmit information with the platform.
9. The platform-based mutual recruitment method for the super-saturation human resource dispatching according to claim 1, wherein the user registers in the platform and selects to become a demand side enterprise or a supply side enterprise after registration, and can also select dual identities of the demand side and the supply side at the same time.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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- 2020-03-23 CN CN202010205670.2A patent/CN112001687A/en active Pending
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