CN114358733A - Big data human resource management system - Google Patents
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Abstract
The invention belongs to the technical field of human resource management, and discloses a big data human resource management system, which comprises: the system comprises an information acquisition module, a big data mining module, a matching module, a selection module, a central control module, a recruitment management module, an assessment module, an evaluation module, a training module, a feature analysis module, a rating module, a post matching module, a salary adjustment suggestion output module and a visual output module. The invention can help the user to quickly and accurately find the suitable talents for reasonable distribution and utilization; different training and assessment are carried out aiming at different posts, and the assessment and training are more targeted; the staff rating is carried out on the basis of multiple aspects of evaluation information, assessment information and work performance, and the comprehensiveness and objectivity of the staff rating are guaranteed; meanwhile, the working characteristics of the staff can be analyzed, corresponding post recommendation and salary adjustment suggestions are output, visual display of various data is performed, the intelligent degree is high, time and labor are saved, and the user experience is good.
Description
Technical Field
The invention belongs to the technical field of human resource management, and particularly relates to a big data human resource management system.
Background
At present, human resource management refers to a general term of a series of activities for effectively utilizing relevant human resources inside and outside an organization through management forms such as recruitment, selection, training, consideration and the like under the guidance of economics and human thought, meeting the requirements of the current and future development of the organization, and ensuring the achievement of an organization target and the maximization of member development.
Particularly, since the 21 st century, with the development of networks and the popularization of network terminal devices, network information grows in geometric multiples and shows the situation of information explosion. In recent years, data has been generated in incredible amounts. In the big data era, the human ability to analyze data, extract information and refine knowledge is continuously improved, and the data realizes the conversion of 'data-information-knowledge-profit'. The key process of enterprise operation is in the mind of talents, and the talents play a vital role in the process of reading data and making judgment according to the intelligence of the talents, and the data only plays a role in providing related materials. The science and technology are developed to the present day, due to the existence of key technologies such as data mining and the like, data is not limited to reports, analysis, decision and the like can be integrated, the position of decision support is raised, the productivity is further liberated due to the development of big data, and the human resource management is combined with the big data, so that greater vitality is released to win sustainable competitive advantages for organizations.
The human resources of the existing enterprises are mainly carried out manually, the intelligent degree is low, and the human resources are subjectively influenced, so that the staff evaluation or rating is not objective and incomplete.
Through the above analysis, the problems and defects of the prior art are as follows: the human resources of the existing enterprises are mainly carried out manually, the intelligent degree is low, and the human resources are subjectively influenced, so that the staff evaluation or rating is not objective and incomplete.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a big data human resource management system.
The present invention is thus implemented, a big data human resources management system, comprising:
the recruitment management module is connected with the central control module and is used for acquiring interview results and recording results of the selected talents;
the assessment module is connected with the central control module and is used for assessing professional skills, moral quality and other information of the employees based on the positions of the current enterprise employees;
the training module is connected with the central control module and used for providing targeted training for the staff based on the assessment result;
the characteristic analysis module is connected with the central control module and is used for analyzing the working capacity characteristics of the staff based on the training results, the assessment results, the evaluation information and the working performance of the staff;
the grading module is connected with the central control module and is used for grading the staff based on the evaluation result of the staff, the evaluation result change before and after training, the evaluation information and the work achievement;
and the salary adjustment suggestion output module is connected with the central control module and is used for outputting staff salary adjustment suggestions based on the rating of the staff, the assessment results, the work performance and the staff posts.
Further, the big data human resource management system further comprises:
the information acquisition module is connected with the central control module and is used for acquiring employee information, demand information, enterprise architecture setting and other information of an enterprise;
the big data mining module is connected with the central control module and used for acquiring job seeker information on each platform based on a big data mining technology;
the matching module is connected with the central control module and used for matching the information of the job seekers obtained by mining with the acquired recruitment requirement and screening to obtain talent data meeting the requirements;
the selecting module is connected with the central control module and is used for selecting the screened talents meeting the requirements;
the central control module is connected with the information acquisition module, the big data mining module, the matching module, the selection module, the recruitment management module, the assessment module, the evaluation module, the training module, the feature analysis module, the rating module, the post matching module, the salary adjustment suggestion output module and the visual output module and is used for controlling each module to normally work by utilizing a single chip microcomputer or a controller;
the evaluation module is connected with the central control module and is used for acquiring evaluation information of superior leaders and colleagues of all the employees on the employees;
the post matching module is connected with the central control module and is used for matching the optimal post based on employee rating and working capacity characteristics;
and the visual output module is connected with the central control module and is used for performing statistical display on various data of the human resources based on the custom attributes in a visual chart mode by utilizing a display.
Further, the information acquisition module comprises:
the information acquisition unit is used for acquiring the current number of the employees, the employee academic records, the employee positions and other information of the enterprise;
the demand acquisition unit is used for acquiring the current recruitment demand related information of the enterprise;
the organization architecture acquisition unit is used for acquiring organization architecture, work posts and other setting information of an enterprise;
the work achievement acquisition unit is used for acquiring work achievement, work completion conditions and work completion evaluation of the staff during working;
and the compensation data acquisition unit is used for acquiring compensation data of each employee and each post.
Further, the assessment module assesses professional skills, ethical qualities and other information of the employees based on the positions of the current enterprise employees, and comprises the following steps:
randomly extracting thought moral test questions from a database, and acquiring answer scores of the thought moral test questions of each employee;
acquiring the information of the student calendar and the post of the employee; acquiring corresponding professional skill examination questions according to the student calendar and the post information of the staff;
acquiring other assessment types, except for moral quality and professional skills, required by corresponding positions of all the employees, and performing corresponding assessment based on the required assessment types;
and obtaining the moral assessment results, professional skill assessment results and other assessment results of all the employees and outputting the overall assessment results.
Further, the acquiring of other assessment types, except for ethical quality and professional skill, required by the corresponding positions of the employees includes performing corresponding assessment based on the required assessment types:
acquiring the type of each post, and counting the work responsibility corresponding to the type of the post; matching assessment items of corresponding duties based on the work duties;
determining other assessment items except for moral quality and professional skills in the assessment items, and matching corresponding assessment strategies from the assessment database based on the assessment items;
and performing the assessment of the staff based on the assessment strategies corresponding to different assessment items, and obtaining corresponding assessment data.
Further, the staff rating module carries out staff rating based on the staff assessment results, assessment result changes before and after training, assessment information and work performance, and comprises the following steps:
taking the assessment results of the staff, assessment result changes before and after training, evaluation information and work performance as the rating factors of the staff;
determining the weight of each rating factor, and determining each rating score of the employee based on the determined weight of each rating factor and the result of the employee on each rating factor;
determining whether other bonus or bonus items exist in the employee, determining a total rating score of the employee based on the various rating scores of the employee and the bonus and bonus items, and determining the specific rating of the employee based on the total rating score.
Further, the bonus items include social or corporate internal rewards earned during work; the deduction items are penalties obtained during work.
Another object of the present invention is to provide an information data processing terminal, wherein the information data processing terminal is configured to implement the big data human resource management system.
Another object of the present invention is to provide a computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface to apply the big data human resources management system when executed on an electronic device.
Another object of the present invention is to provide a computer readable storage medium storing instructions that, when executed on a computer, cause the computer to apply the big data human resources management system.
By combining all the technical schemes, the invention has the advantages and positive effects that: the invention utilizes big data analysis technology to search talents according to the requirements of users, and can help users to quickly and accurately find suitable talents for reasonable distribution and utilization; meanwhile, different training and assessment can be performed on different posts, and the assessment and training are more targeted; the staff rating is carried out on the basis of multiple aspects of evaluation information, assessment information and work performance, and the comprehensiveness and objectivity of the staff rating are guaranteed; meanwhile, the working characteristics of the staff can be analyzed, corresponding post recommendation and salary adjustment suggestions are output, visual display of various data is performed, the intelligent degree is high, time and labor are saved, and the user experience is good.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained from the drawings without creative efforts.
FIG. 1 is a schematic diagram of a big data human resource management system according to an embodiment of the present invention;
in the figure: 1. an information acquisition module; 2. a big data mining module; 3. a matching module; 4. selecting a module; 5. a central control module; 6. a recruitment management module; 7. an assessment module; 8. an evaluation module; 9. a training module; 10. a feature analysis module; 11. a rating module; 12. a post matching module; 13. a salary adjustment suggestion output module; 14. and a visual output module.
FIG. 2 is a schematic structural diagram of an information collection module according to an embodiment of the present invention;
in the figure: 15. an information acquisition unit; 16. a demand collection unit; 17. an organization architecture acquisition unit; 18. a work achievement collecting unit; 19. a compensation data acquisition unit.
Fig. 3 is a flowchart of a method for assessing professional skills, ethical qualities, and other information of employees based on positions of current employees of an enterprise by the assessment module according to the embodiment of the present invention.
Fig. 4 is a flowchart of a method for obtaining other assessment types, except for ethical qualities and professional skills, required by corresponding positions of each employee and performing corresponding assessment based on the required assessment types, according to the embodiment of the present invention.
Fig. 5 is a flowchart of a method for rating employees by the rating module based on assessment results of the employees, assessment result changes before and after training, evaluation information, and work performance, according to an embodiment 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 with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In view of the problems in the prior art, the present invention provides a big data human resource management system, which is described in detail below with reference to the accompanying drawings.
As shown in fig. 1, the big data human resource management system according to the embodiment of the present invention includes:
the information acquisition module 1 is connected with the central control module 5 and is used for acquiring employee information, demand information, enterprise architecture setting and other information of an enterprise;
the big data mining module 2 is connected with the central control module 5 and used for acquiring job seeker information on each platform based on a big data mining technology;
the matching module 3 is connected with the central control module 5 and used for matching the information of the job seekers obtained by mining with the acquired recruitment requirement and screening to obtain talent data meeting the requirements;
the selecting module 4 is connected with the central control module 5 and is used for selecting the screened talents meeting the requirements;
the central control module 5 is connected with the information acquisition module 1, the big data mining module 2, the matching module 3, the selection module 4, the recruitment management module 6, the assessment module 7, the evaluation module 8, the training module 9, the feature analysis module 10, the rating module 11, the post matching module 12, the salary adjustment suggestion output module 13 and the visual output module 14, and is used for controlling each module to normally work by utilizing a single chip microcomputer or a controller;
the recruitment management module 6 is connected with the central control module 5 and used for acquiring interview results and recording results of the selected talents;
the assessment module 7 is connected with the central control module 5 and is used for assessing professional skills, moral quality and other information of the employees based on the positions of the current enterprise employees;
the evaluation module 8 is connected with the central control module 5 and is used for acquiring evaluation information of the staff by superior leaders and colleagues of the staff;
the training module 9 is connected with the central control module 5 and used for providing targeted training for the staff based on the assessment results;
the characteristic analysis module 10 is connected with the central control module 5 and is used for analyzing the working capacity characteristics of the staff based on the training results, assessment results, evaluation information and working performance of the staff;
the rating module 11 is connected with the central control module 5 and used for rating the staff based on the staff assessment results, assessment result changes before and after training, evaluation information and work performance;
the post matching module 12 is connected with the central control module 5 and used for matching the optimal post based on employee rating and working capacity characteristics;
the salary adjustment suggestion output module 13 is connected with the central control module 5 and used for outputting staff salary adjustment suggestions based on the rating of the staff, the assessment results, the work performance and the staff posts;
and the visual output module 14 is connected with the central control module 5 and is used for performing statistical display on various types of data of human resources based on the custom attributes in a visual chart mode by using a display.
As shown in fig. 2, an information acquisition module 1 provided in an embodiment of the present invention includes:
the information acquisition unit 15 is used for acquiring the current number of the employees, the employee academic records, the employee positions and other information of the enterprise;
the demand acquisition unit 16 is used for acquiring the current recruitment demand related information of the enterprise;
the organization architecture acquisition unit 17 is used for acquiring organization architecture, work posts and other setting information of an enterprise;
the work performance acquisition unit 18 is used for acquiring work performance, work completion conditions and work completion evaluation of the staff during working;
and the compensation data acquisition unit 19 is used for acquiring compensation data of each employee and each post.
As shown in fig. 3, the assessment module provided in the embodiment of the present invention assesses professional skills, ethical qualities, and other information of employees based on positions of current employees of an enterprise, including:
s101, randomly extracting thought and moral test questions from a database, and obtaining answer scores of the thought and moral test questions of each employee;
s102, acquiring the academic calendar and the post information of the employee; acquiring corresponding professional skill examination questions according to the student calendar and the post information of the staff;
s103, acquiring other assessment types, except for moral quality and professional skills, required by the corresponding positions of the employees, and performing corresponding assessment based on the required assessment types;
and S104, obtaining the moral assessment results, professional skill assessment results and other assessment results of each employee and outputting the overall assessment results.
As shown in fig. 4, the obtaining of other assessment types, except for ethical qualities and professional skills, required by the corresponding positions of the employees according to the embodiment of the present invention includes:
s201, acquiring the types of all posts, and counting the work responsibilities corresponding to the post types; matching assessment items of corresponding duties based on the work duties;
s202, determining other assessment items except for moral quality and professional skills in the assessment items, and matching corresponding assessment strategies from the assessment database based on the assessment items;
s203, performing the assessment of the staff based on the assessment strategies corresponding to different assessment items, and obtaining corresponding assessment data.
As shown in fig. 5, the rating module provided in the embodiment of the present invention performs employee rating based on the assessment results of the employees, assessment result changes before and after training, evaluation information, and work performance, and includes:
s301, taking assessment results of the staff, assessment result changes before and after training, assessment information and work performance as rating factors of the staff;
s302, determining the weight of each rating factor, and determining each rating score of the employee based on the determined weight of each rating factor and the result of the employee on each rating factor;
s303, determining whether other bonus or bonus items exist in the employee, determining the total rating score of the employee based on each rating score of the employee and the bonus and bonus items, and determining the specific rating of the employee based on the total rating score.
The bonus project provided by the embodiment of the invention comprises social or company internal rewards obtained during the work period; the deduction items are penalties obtained during work.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention, and the scope of the present invention is not limited thereto, and any modification, equivalent replacement, and improvement made by those skilled in the art within the technical scope of the present invention disclosed herein, which is within the spirit and principle of the present invention, should be covered by the present invention.
Claims (10)
1. A big data human resources management system, comprising:
the recruitment management module is connected with the central control module and is used for acquiring interview results and recording results of the selected talents;
the assessment module is connected with the central control module and is used for assessing professional skills, moral quality and other information of the employees based on the positions of the current enterprise employees;
the training module is connected with the central control module and used for providing targeted training for the staff based on the assessment result;
the characteristic analysis module is connected with the central control module and is used for analyzing the working capacity characteristics of the staff based on the training results, the assessment results, the evaluation information and the working performance of the staff;
the grading module is connected with the central control module and is used for grading the staff based on the evaluation result of the staff, the evaluation result change before and after training, the evaluation information and the work achievement;
and the salary adjustment suggestion output module is connected with the central control module and is used for outputting staff salary adjustment suggestions based on the rating of the staff, the assessment results, the work performance and the staff posts.
2. The big data human resources management system of claim 1, wherein the big data human resources management system further comprises:
the information acquisition module is connected with the central control module and is used for acquiring employee information, demand information, enterprise architecture setting and other information of an enterprise;
the big data mining module is connected with the central control module and used for acquiring job seeker information on each platform based on a big data mining technology;
the matching module is connected with the central control module and used for matching the information of the job seekers obtained by mining with the acquired recruitment requirement and screening to obtain talent data meeting the requirements;
the selecting module is connected with the central control module and is used for selecting the screened talents meeting the requirements;
the central control module is connected with the information acquisition module, the big data mining module, the matching module, the selection module, the recruitment management module, the assessment module, the evaluation module, the training module, the feature analysis module, the rating module, the post matching module, the salary adjustment suggestion output module and the visual output module and is used for controlling each module to normally work by utilizing a single chip microcomputer or a controller;
the evaluation module is connected with the central control module and is used for acquiring evaluation information of superior leaders and colleagues of all the employees on the employees;
the post matching module is connected with the central control module and is used for matching the optimal post based on employee rating and working capacity characteristics;
and the visual output module is connected with the central control module and is used for performing statistical display on various data of the human resources based on the custom attributes in a visual chart mode by utilizing a display.
3. The big data human resource management system of claim 2, wherein the information collection module comprises:
the information acquisition unit is used for acquiring the current number of the employees, the employee academic records, the employee positions and other information of the enterprise;
the demand acquisition unit is used for acquiring the current recruitment demand related information of the enterprise;
the organization architecture acquisition unit is used for acquiring organization architecture, work posts and other setting information of an enterprise;
the work achievement acquisition unit is used for acquiring work achievement, work completion conditions and work completion evaluation of the staff during working;
and the compensation data acquisition unit is used for acquiring compensation data of each employee and each post.
4. The big data human resource management system of claim 1, wherein the assessment module assesses employee expertise, ethical qualities, and other information based on current positions of enterprise employees comprises:
randomly extracting thought moral test questions from a database, and acquiring answer scores of the thought moral test questions of each employee;
acquiring the information of the student calendar and the post of the employee; acquiring corresponding professional skill examination questions according to the student calendar and the post information of the staff;
acquiring other assessment types, except for moral quality and professional skills, required by corresponding positions of all the employees, and performing corresponding assessment based on the required assessment types;
and obtaining the moral assessment results, professional skill assessment results and other assessment results of all the employees and outputting the overall assessment results.
5. The big data human resource management system as claimed in claim 4, wherein said obtaining other assessment types required by the corresponding positions of the employees besides the ethical qualities and professional skills, and performing corresponding assessment based on the required assessment types comprises:
acquiring the type of each post, and counting the work responsibility corresponding to the type of the post; matching assessment items of corresponding duties based on the work duties;
determining other assessment items except for moral quality and professional skills in the assessment items, and matching corresponding assessment strategies from the assessment database based on the assessment items;
and performing the assessment of the staff based on the assessment strategies corresponding to different assessment items, and obtaining corresponding assessment data.
6. The big data human resource management system as claimed in claim 1, wherein said rating module performing employee rating based on employee assessment results, assessment performance changes before and after training, evaluation information, job performance comprises:
taking the assessment results of the staff, assessment result changes before and after training, evaluation information and work performance as the rating factors of the staff;
determining the weight of each rating factor, and determining each rating score of the employee based on the determined weight of each rating factor and the result of the employee on each rating factor;
determining whether other bonus or bonus items exist in the employee, determining a total rating score of the employee based on the various rating scores of the employee and the bonus and bonus items, and determining the specific rating of the employee based on the total rating score.
7. The big data human resources management system of claim 6, wherein the bonus project comprises social or corporate internal rewards earned during work; the deduction items are penalties obtained during work.
8. An information data processing terminal, wherein the information data processing terminal is used for implementing the big data human resource management system according to any one of claims 1 to 7.
9. A computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface for applying the big data human resources management system as claimed in any one of claims 1-7 when executed on an electronic device.
10. A computer readable storage medium storing instructions that, when executed on a computer, cause the computer to apply the big data human resources management system as claimed in any one of claims 1-7.
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| CN202111677225.7A CN114358733A (en) | 2021-12-31 | 2021-12-31 | Big data human resource management system |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115619362A (en) * | 2022-12-19 | 2023-01-17 | 无锡一技信息科技有限公司 | Human capital management system based on block chain technology |
| CN116703342A (en) * | 2023-07-03 | 2023-09-05 | 嘉兴瑞祎企业管理咨询有限公司 | Human resource data processing method and system |
| CN116894602A (en) * | 2023-07-12 | 2023-10-17 | 军越能源科技(上海)有限公司 | Multi-source data-based caterpillar function capability assessment system |
| CN117350584A (en) * | 2023-10-09 | 2024-01-05 | 江苏财经职业技术学院 | Manpower resource information storage management system based on big data |
| CN117974084A (en) * | 2024-02-02 | 2024-05-03 | 深圳市隽尚软件技术服务有限公司 | HR management method and system based on big data |
-
2021
- 2021-12-31 CN CN202111677225.7A patent/CN114358733A/en not_active Withdrawn
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115619362A (en) * | 2022-12-19 | 2023-01-17 | 无锡一技信息科技有限公司 | Human capital management system based on block chain technology |
| CN116703342A (en) * | 2023-07-03 | 2023-09-05 | 嘉兴瑞祎企业管理咨询有限公司 | Human resource data processing method and system |
| CN116894602A (en) * | 2023-07-12 | 2023-10-17 | 军越能源科技(上海)有限公司 | Multi-source data-based caterpillar function capability assessment system |
| CN117350584A (en) * | 2023-10-09 | 2024-01-05 | 江苏财经职业技术学院 | Manpower resource information storage management system based on big data |
| CN117974084A (en) * | 2024-02-02 | 2024-05-03 | 深圳市隽尚软件技术服务有限公司 | HR management method and system based on big data |
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