CN111340436A - Network recruitment optimization method for construction industry - Google Patents
Network recruitment optimization method for construction industry Download PDFInfo
- Publication number
- CN111340436A CN111340436A CN201911215904.5A CN201911215904A CN111340436A CN 111340436 A CN111340436 A CN 111340436A CN 201911215904 A CN201911215904 A CN 201911215904A CN 111340436 A CN111340436 A CN 111340436A
- Authority
- CN
- China
- Prior art keywords
- recruitment
- network
- information
- applicant
- construction industry
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/105—Human resources
- G06Q10/1053—Employment or hiring
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Strategic Management (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- General Engineering & Computer Science (AREA)
- Economics (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to a network recruitment optimization method aiming at the construction industry, which comprises the following steps: (1) pushing the job requirements meeting the requirements to the applicant; (2) pushing the applicants meeting the requirements to the recruiters; (3) screening application information and recruitment information; (4) grading the application information and the recruitment; (5) delivering resume by an applicant or sending a job position invitation by a recruiter; (6) network evaluation; (7) and (6) performing field interview. Has the advantages that: the system can provide the functions of enterprise and individual screening and grading, so that the information is accurate, the enterprise and individuals do not need to spend a large amount of time for trial and error, excellent talents can be recruited and appropriate work can be found accurately, online network written tests and interviews can be performed, and the applicant is informed to go to headquarter interviews when the interviews are confirmed in the last step.
Description
Technical Field
The invention relates to a network system, in particular to a network recruitment optimization method aiming at the construction industry.
Background
Since the 21 st century, talents have been competitive, and it is important for modern enterprises and individuals to be able to recruit suitable talents better, faster and more accurately, and to find better, more self-conforming and more highly paid jobs. The existing network recruitment platform cannot provide functions of enterprise and individual screening and grading, so that the information is not accurate enough, the enterprise and the individual spend a large amount of time on trial and error, manpower and material resources are wasted, and excellent talents and proper work are often missed.
The talents in buildings are special, and are usually on short-term or long-term business trips in different places, so that recruitment by using a traditional written trial interview method is difficult, and excellent talents and proper work are missed because the talents in buildings need to be written to the headquarters.
Disclosure of Invention
The invention aims to solve the technical problem of providing a network recruitment optimization method aiming at the construction industry, and solves the problem.
The technical scheme for solving the technical problems is as follows: a network recruitment optimization method for the construction industry comprises the following steps:
(1) pushing the job requirements meeting the requirements to the applicant;
(2) pushing the applicants meeting the requirements to the recruiters;
(3) screening application information and recruitment information;
(4) grading the application information and the recruitment;
(5) delivering resume by an applicant or sending a job position invitation by a recruiter;
(6) network evaluation;
(7) and (6) performing field interview.
The invention has the beneficial effects that: the system can provide the functions of enterprise and individual screening and grading, so that the information is accurate, the enterprise and individuals do not need to spend a large amount of time for trial and error, excellent talents can be recruited and appropriate work can be found accurately, online network written tests and interviews can be performed, and the applicant is informed to go to headquarter interviews when the interviews are confirmed in the last step.
On the basis of the technical scheme, the invention can be further improved as follows.
Further, according to the information of job hunting intention, job performance, professional skills and geographical position of the applicant, the met job demand can be automatically matched and pushed to the applicant, and the applicant can preferably select one or more of the job hunting intention, job performance, professional skills and geographical position as main reference basis.
Further, according to the information of the academic requirement, the employment experience, the vocational skills and the geographic position of the recruiter, the qualified applicants can be automatically matched and pushed to the recruiter, and the recruiter can preferably select one or more of the academic requirement, the employment experience, the vocational skills and the geographic position as main reference basis.
Further, the recruitment information and recruitment information can be further screened according to detailed requirements, wherein the recruitment information comprises a salary range, a geographical distance range, a working year range and a minimum school calendar.
Further, the recruitment information and the recruitment information can be graded from high to low according to factors of salary, geographic distance, working age and degree of matching of job experience, so as to provide more accurate selection for the recruiter and the recruiter.
Further, the applicant can set automatic delivery and manual delivery according to habits.
Further, the recruiter can set automatic invitations and manual invitations according to habits.
Further, the network evaluation comprises a network written test and a network interview.
Further, the whole process of the network written test and the network interview is that video and audio are shot and stored.
Drawings
FIG. 1 is a flow chart of the method of the present invention.
Detailed Description
The principles and features of this invention are described below in conjunction with the following drawings, which are set forth by way of illustration only and are not intended to limit the scope of the invention.
As shown in fig. 1, a network recruitment optimization method for the construction industry comprises the following steps:
(1) pushing the job requirements meeting the requirements to the applicant;
(2) pushing the applicants meeting the requirements to the recruiters;
(3) screening application information and recruitment information;
(4) grading the application information and the recruitment;
(5) delivering resume by an applicant or sending a job position invitation by a recruiter;
(6) network evaluation;
(7) and (6) performing field interview.
The method can automatically match the matched job requirements according to the information of job hunting intentions, job performance, professional skills and geographical positions of the applicants and push the information to the applicants, and the applicants can preferably select one or more of the job hunting intentions, job performance, professional skills and geographical positions as main reference.
The method can automatically match the qualified applicant according to the information of the academic requirement, the employment experience, the vocational skills and the geographic position of the recruiting unit and push the information to the recruiter, and the recruiter can preferably select one or more of the academic requirement, the employment experience, the vocational skills and the geographic position as the main reference basis.
The recruitment information and the recruitment information can be further screened according to detailed requirements, wherein the recruitment information comprises a salary range, a geographic distance range, a working year range and a minimum school calendar.
The recruitment information and the recruitment information can be graded from high to low according to factors of salary, geographic distance, working age and degree of matching of job experience so as to provide more accurate selection for the recruiter and the recruiter.
The applicant can set automatic delivery and manual delivery according to habits.
The recruiter can set automatic invitations and manual invitations according to habits.
The network evaluation comprises a network written test and a network interview.
The whole process of the network written test and the network interview is that video and audio are shot and stored.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (8)
1. A network recruitment optimization method for the construction industry is characterized by comprising the following steps:
(1) pushing the job requirements meeting the requirements to the applicant;
(2) pushing the applicants meeting the requirements to the recruiters;
(3) screening application information and recruitment information;
(4) grading the application information and the recruitment;
(5) delivering resume by an applicant or sending a job position invitation by a recruiter;
(6) network evaluation;
(7) performing field interview;
and grading the recruitment information and the recruitment information from high to low according to factors of salary, geographic distance, working age and degree of matching of job experience so as to provide more accurate selection for the applicant and the recruiter.
2. The network recruitment optimization method for the construction industry according to claim 1, wherein the matched position requirements can be automatically matched according to the information of job hunting intention, job performance, professional skills and geographical position of the applicant, and the information is pushed to the applicant, and the applicant can preferably use one or more of the job hunting intention, job performance, professional skills and geographical position as a main reference.
3. The network recruitment optimization method for the construction industry according to claim 2, wherein the matched applicants can be automatically matched according to the information of the academic requirement, the employment experience, the vocational skills and the geographic location of the recruitment unit, and the matched applicants can be pushed to the recruiter, and the recruiter can preferably use one or more of the academic requirement, the employment experience, the vocational skills and the geographic location as the main reference.
4. The network recruitment optimization method for the construction industry according to claim 3, wherein the application information and the recruitment information can be further screened according to detailed requirements, and comprise a salary range, a geographic distance range, a working year limit range and a minimum academic calendar.
5. The network recruitment optimization method for the construction industry according to claim 4, wherein the applicant can automatically deliver and manually deliver according to habit settings.
6. The network recruitment optimization method for the construction industry according to claim 4, wherein the recruiter can automatically invite and manually invite according to habit settings.
7. The method for network recruitment optimization for the construction industry of claim 6, wherein the network assessment comprises a network written test and a network interview.
8. The network recruitment optimization method for the construction industry as claimed in claim 7, wherein the whole process of the network written test and the network interview is that video and audio are captured and stored.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911215904.5A CN111340436A (en) | 2019-12-02 | 2019-12-02 | Network recruitment optimization method for construction industry |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911215904.5A CN111340436A (en) | 2019-12-02 | 2019-12-02 | Network recruitment optimization method for construction industry |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111340436A true CN111340436A (en) | 2020-06-26 |
Family
ID=71183258
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911215904.5A Pending CN111340436A (en) | 2019-12-02 | 2019-12-02 | Network recruitment optimization method for construction industry |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111340436A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112269916A (en) * | 2020-11-04 | 2021-01-26 | 北京信诺恒升科技有限公司 | Demand matching method and device based on recruitment and server |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104239954A (en) * | 2013-12-28 | 2014-12-24 | 易联众信息技术股份有限公司 | Remote interview method |
| CN104299086A (en) * | 2014-10-14 | 2015-01-21 | 河南智业科技发展有限公司 | Recruitment system and method based on cloud services |
| CN106095931A (en) * | 2016-06-12 | 2016-11-09 | 杭州简才网络信息科技有限公司 | A kind of matching process between job hunter and advertising unit |
| CN108734445A (en) * | 2018-05-24 | 2018-11-02 | 佛山市轻遣网络有限公司 | A kind of recruitment management system and method |
| CN108805525A (en) * | 2018-05-24 | 2018-11-13 | 佛山市轻遣网络有限公司 | A kind of E-Recruit commending system and its method |
| CN110032637A (en) * | 2019-04-16 | 2019-07-19 | 上海大易云计算股份有限公司 | A kind of resume intelligent recommendation algorithm based on natural semantic analysis technology |
| CN110162599A (en) * | 2019-04-15 | 2019-08-23 | 深圳壹账通智能科技有限公司 | Personnel recruitment and interview method, apparatus and computer readable storage medium |
| CN110197361A (en) * | 2019-04-04 | 2019-09-03 | 上海发才网络信息技术有限公司 | It is a kind of to hunt for a job and enterprises recruitment docking system and its application method |
-
2019
- 2019-12-02 CN CN201911215904.5A patent/CN111340436A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104239954A (en) * | 2013-12-28 | 2014-12-24 | 易联众信息技术股份有限公司 | Remote interview method |
| CN104299086A (en) * | 2014-10-14 | 2015-01-21 | 河南智业科技发展有限公司 | Recruitment system and method based on cloud services |
| CN106095931A (en) * | 2016-06-12 | 2016-11-09 | 杭州简才网络信息科技有限公司 | A kind of matching process between job hunter and advertising unit |
| CN108734445A (en) * | 2018-05-24 | 2018-11-02 | 佛山市轻遣网络有限公司 | A kind of recruitment management system and method |
| CN108805525A (en) * | 2018-05-24 | 2018-11-13 | 佛山市轻遣网络有限公司 | A kind of E-Recruit commending system and its method |
| CN110197361A (en) * | 2019-04-04 | 2019-09-03 | 上海发才网络信息技术有限公司 | It is a kind of to hunt for a job and enterprises recruitment docking system and its application method |
| CN110162599A (en) * | 2019-04-15 | 2019-08-23 | 深圳壹账通智能科技有限公司 | Personnel recruitment and interview method, apparatus and computer readable storage medium |
| CN110032637A (en) * | 2019-04-16 | 2019-07-19 | 上海大易云计算股份有限公司 | A kind of resume intelligent recommendation algorithm based on natural semantic analysis technology |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112269916A (en) * | 2020-11-04 | 2021-01-26 | 北京信诺恒升科技有限公司 | Demand matching method and device based on recruitment and server |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111062685A (en) | Internet-based network recruitment system and method | |
| US7346535B2 (en) | Method and system for operating a personnel workflow tool | |
| Howe | Temporary help workers: Who they are, what jobs they hold | |
| Chugh | Role of human resource information systems in an educational organization | |
| Lowitzsch et al. | The promotion of employee ownership and participation | |
| Pulyaeva et al. | Practical aspects of HR management in digital economy | |
| Granqvist et al. | Decentralized wage formation in Sweden | |
| CN111340436A (en) | Network recruitment optimization method for construction industry | |
| Shankar et al. | Reducing youth unemployment in South Africa | |
| CN116503033A (en) | Recruitment data processing method, recruitment data processing system, computer equipment and storage medium | |
| Smith | Unemployment and Mismatch in the UK | |
| Pyster | What beyond CMMI is needed to help assure program and project success? | |
| US20150269526A1 (en) | Method and system for matching a jobseeker and a job provider | |
| CN110705909A (en) | Information processing method for salary information generation | |
| Mogane et al. | Factors inhibiting the adoption of applications driven business solutions by SMMEs in the Western Cape | |
| McPherson et al. | Lessons learned from the implementation of a Malaysia egovernment project | |
| Twiname et al. | Accounting for the costs of recruiting and training | |
| Dwyer | Calculating the value of information | |
| Ben Rejeb | Role of AI in Streamlining Board Meeting Management | |
| Ramesh | E Recruitment-Leveraging Technology Towards Business Excellence | |
| Bengtsson et al. | The rise of the middle class: The income gap between salaried employees and workers in Sweden, 1830–1935 | |
| Sjölin | Lay the Foundation for the Next Generation of Ownership | |
| Badiru | Measurement of personnel productivity: During government furlough programs | |
| Lo et al. | Simplified Planning Tool to Determine Staffing and Consultants’ Needs | |
| Arso et al. | Recruitment Application Revamp Using Agile Development Methodology |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200626 |
|
| RJ01 | Rejection of invention patent application after publication |