CN112529439A - Method and system for constructing employee human model - Google Patents
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- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
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Abstract
The invention discloses a method and a system for constructing a staff human model, wherein the method comprises the following steps: establishing a staff human model page through a background management system, and inputting the content type of a human model in the staff human model page according to training requirements; creating a corresponding index test question according to the manpower index words; designing index assessment standards in advance according to different post requirements, and matching the corresponding index assessment standards according to the post information of each employee recorded by the background management system; sending the index test questions to a training system for employee testing, and generating test results of all employees after the employee testing is finished; and generating a human model corresponding to each employee according to the test result and the corresponding index assessment standard. According to the invention, the human model of the staff is constructed by combining the training system, the knowledge storage condition and the training result of the staff can be effectively and comprehensively evaluated, the enterprise is helped to perfect and cultivate the integral quality of the staff, and the effect of talent management of the enterprise is improved.
Description
Technical Field
The invention relates to the technical field of human resource management, in particular to a method and a system for constructing a human model of staff.
Background
The comprehensive improvement of the quality of the employees is an important content of a sustainable development strategy of a modern enterprise, and for the enterprise exerting the key and middle strength, the high-quality employees are the most valuable resources advancing to the first-class enterprise in the world, but the achievement of the excellent business of the enterprise is not only the core human resources of the enterprise, and the quality improvement of vast basic employees is required to be guaranteed. In addition, along with the problems of large scale of basic staff for rapid development of modern enterprises, staff quality improvement and management of the whole quality development state, the conventional human resource management system is not suitable for the requirements and development of human resources of modern large and medium-sized enterprises.
In order to facilitate human resource management, all aspects of knowledge shortness problems of employees of a company can be more intuitively known; in the prior art, staff is internally evaluated through a human model, and knowledge in the aspects of theoretical knowledge learning condition, training and development evaluation condition, training suggestion formation information, training design and system related methods, development management and enterprise leadership, demand evaluation and training and the like of the staff is further known.
However, in the research and practice process of the prior art, the inventor of the present invention finds that the existing enterprise employee human model has some defects, for example, the lack of association with different training systems of each enterprise results in a low comprehensiveness of the human model, which cannot be comprehensively matched with the actual training situation of the employee for evaluation, or the evaluation criteria of the human model is one-sided, which cannot effectively reflect the actual knowledge storage situation of the employee, resulting in a poor talent management effect of the human resources department. Therefore, a method for constructing a human model of an employee, which can overcome the above-mentioned drawbacks, is needed.
Disclosure of Invention
The embodiment of the invention aims to solve the technical problem of providing a method and a system for constructing a staff human model, which can be combined with a training system to construct the staff human model.
In order to solve the above problem, a first aspect of the embodiments of the present application provides a method for constructing a human model of an employee, including at least the following steps:
establishing a staff human model page through a background management system, and inputting the content type of a human model in the staff human model page according to training requirements;
after inputting the human index words corresponding to the content types to the human model page, creating corresponding index test questions according to the human index words;
designing index assessment standards in advance according to different post requirements, and matching the corresponding index assessment standards according to the post information of each employee recorded by the background management system;
sending the index test questions to a training system for employee testing, and generating test results of all employees after the employee testing is finished;
and generating a human model corresponding to each employee according to the test result and the corresponding index assessment standard.
In a possible implementation manner of the first aspect, the generating a human model corresponding to each employee includes:
and generating a radar chart for evaluating the knowledge storage condition of the staff and training results according to the manpower index words and the test results of the staff.
In a possible implementation manner of the first aspect, the employee human model page includes a content category creation sub-page, a test question creation sub-page, and an employee distribution test question sub-page.
In a possible implementation manner of the first aspect, the created content category subpage is used to set a category of the created content, and allocate an index word, a test question, and an assessment score corresponding to each content category.
In a possible implementation manner of the first aspect, the creating entity sub-page is configured to set test question types and corresponding test question scores, and input question stem content, number of options, option content, correct answers, and answer analysis corresponding to each test question type.
In a possible implementation manner of the first aspect, the employee allocates a test question sub-page, which is used for allocating test questions to employees of different categories, and sets a test question package, a question number, and related index words corresponding to the employee of each category.
In a possible implementation manner of the first aspect, the employee knowledge storage condition and the training result include a theoretical knowledge learning condition, a training and development evaluation, a training suggestion, a training plan and an enterprise demand evaluation of the employee.
A second aspect of the embodiments of the present application provides a system for building a human model of an employee, including:
the system comprises a creating content category module, a training management module and a display module, wherein the creating content category module is used for creating a staff human model page through a background management system and inputting the content category of a human model on the staff human model page according to training requirements;
the test question creating module is used for creating corresponding index test questions according to the human index words after the human index words corresponding to the content types are input to the human model page;
the design index module is used for designing index assessment standards in advance according to different post requirements and matching the corresponding index assessment standards according to the post information of each employee, which is recorded by the background management system;
the staff testing module is used for sending the index testing questions to a training system for staff testing and generating testing results of all staff after the staff testing is finished;
and the human model generating module is used for generating a human model corresponding to each employee according to the test result and the corresponding index assessment standard.
A third aspect of the embodiments of the present application provides a terminal device for building an employee human model, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, where the processor implements the building method of the employee human model as described above when executing the computer program.
A fourth aspect of the embodiments of the present application provides a computer-readable storage medium, where the computer-readable storage medium includes a stored computer program, where when the computer program runs, the apparatus where the computer-readable storage medium is located is controlled to perform the above method for building an employee human model.
The embodiment of the invention has the following beneficial effects:
the embodiment of the invention provides a method and a system for constructing a staff human model, wherein the method comprises the following steps: establishing a staff human model page through a background management system, and inputting the content type of a human model in the staff human model page according to training requirements; after inputting the human index words corresponding to the content types to the human model page, creating corresponding index test questions according to the human index words; designing index assessment standards in advance according to different post requirements, and matching the corresponding index assessment standards according to the post information of each employee recorded by the background management system; sending the index test questions to a training system for employee testing, and generating test results of all employees after the employee testing is finished; and generating a human model corresponding to each employee according to the test result and the corresponding index assessment standard.
Compared with the prior art, the embodiment of the invention can construct the manpower model of the staff by combining the training systems in different enterprises, better meet the individual requirements in the aspect of talent management of the enterprises, effectively and comprehensively evaluate the knowledge storage condition and the training result of the staff, and discover the advantages and the disadvantages of the staff, thereby helping the enterprises to perfect and cultivate the overall quality of the staff, conveying higher-quality talents for the enterprises, improving the efficiency and the effect of talent management of the enterprises, and reducing the cost of talent management.
Drawings
Fig. 1 is a schematic flow chart of a method for constructing a human model of an employee according to a first embodiment of the present invention;
FIG. 2 is a schematic flow chart of another method for constructing a human model of an employee according to a first embodiment of the present invention;
fig. 3 is a schematic structural diagram of a system for building a human model of an employee according to a second embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In the description of the present application, it is to be understood that the terms "first", "second", and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any number of technical features indicated. Thus, a feature defined as "first," "second," etc. may explicitly or implicitly include one or more of that feature. In the description of the present application, "a plurality" means two or more unless otherwise specified.
Firstly, the application scenarios that the invention can provide are introduced, such as building a human model of an employee.
The first embodiment of the present invention:
please refer to fig. 1-2.
As shown in fig. 1, the embodiment provides a method for constructing a human model of an employee, which at least includes the following steps:
s1, establishing a staff human model page through the background management system, and inputting the content type of the human model in the staff human model page according to the training requirement.
In a preferred embodiment, the employee human model page comprises a create content category sub-page, a create test question sub-page and an employee assignment test question sub-page.
In a preferred embodiment, the created content category subpage is used for setting the category of the created content, and distributing the index words, the test questions and the assessment scores corresponding to each content category.
In a preferred embodiment, the creating entity sub-page is configured to set test question types and corresponding test question scores, and input question stem content, number of options, option content, correct answers, and answer resolution corresponding to each test question type.
In a preferred embodiment, the employee distribution test question sub-page is used for distributing test questions to employees of different categories, and setting test question packs, question numbers and related index words corresponding to the employees of each category.
Specifically, for step S1, the manager creates a personalized staff human model page through the acquired management system of the enterprise, and inputs the content category of the human model on the page according to different training requirements of the enterprise, where the page includes a created content category sub-page, a created test question sub-page, and a staff distribution test question sub-page.
In a specific embodiment, a manager can set a human model and a creation index on a created content category sub-page, set radar chart test questions and establish corresponding investigation content, examination questions and assessment scores; adding test questions including test question types, test question scores, question stem contents of each test question, option numbers, option contents, correct answers and answer analysis into the created test question sub-page, wherein the question stem contents and the option contents support inserting pictures; and finally, distributing the test questions to the employees of different types on the employee distribution test question sub-page, setting the applicable employees of each set of test questions, distributing according to the posts, categories and grades of the employees and the departments to which the employees belong, and selecting the test questions, the number of the questions and the index words related to the test questions for the employees of different types to set.
And S2, after inputting the human index words corresponding to the content types to the human model page, creating corresponding index test questions according to the human index words.
Specifically, in step S2, after inputting the human index words corresponding to different content categories to the human model page, index test questions are created according to the human index words, where the human index words are mainly used for indexes in a radar chart in the following and used for evaluating skills or knowledge storage conditions of the employee.
S3, designing index assessment standards in advance according to different post requirements, and matching the corresponding index assessment standards according to the post information of each employee recorded by the background management system.
Specifically, in step S3, different index assessment standards are designed according to different posts, categories, levels, and departments of the employee, and post information of each employee, which has been previously entered into the background management system, is matched with a preset index assessment standard.
And S4, sending the index test questions to a training system for employee testing, and generating test results of all employees after completing the employee testing.
Specifically, in step S4, after the matching is completed, a plurality of sets of index test questions are sent to the training system, the staff can perform corresponding staff tests through the training system (for example, an entrance of a mannequin test such as an easy-to-know classroom or nailing), and after the tests are completed, the system automatically generates test results of the staff according to the answers, test questions and test standards of the staff.
And S5, generating a human model corresponding to each employee according to the test result and the corresponding index assessment standard.
In a preferred embodiment, the generating a human model corresponding to each employee includes:
and generating a radar chart for evaluating the knowledge storage condition of the staff and training results according to the manpower index words and the test results of the staff.
In a preferred embodiment, the employee knowledge storage condition and the training result comprise theoretical knowledge learning condition, training and development evaluation, training advice, training plan and enterprise requirement evaluation of the employee.
Specifically, in step S5, according to the test result of each employee and the index assessment standard corresponding to the test result, a radar map is generated in combination with the human index words, the distribution score corresponding to each human index word is displayed on the radar map, and finally, the personal human model of the employee is formed. The human resource management department of the enterprise can carry out internal evaluation on the staff through the human model, further know the theoretical knowledge learning condition of the staff, the training and development evaluation, the composition of the training suggestion, the training design and system method, the development manager and enterprise leadership, the requirement evaluation and training and the like, and better meet the individual requirements of the enterprise.
As shown in fig. 2, this embodiment further provides another method for establishing a human model of an employee, which includes the following specific steps: the method comprises the following steps that a manager inputs content types of a human model on a manual model interface of a background management system, inputs human index words corresponding to each large type, creates corresponding index test questions, designs index assessment standards, and matches the corresponding index standards for employees at different posts; the staff logs in the training system to perform the manpower test to form a personal manpower model.
The method for constructing the staff human model provided by the embodiment comprises the following steps: establishing a staff human model page through a background management system, and inputting the content type of a human model in the staff human model page according to training requirements; after inputting the human index words corresponding to the content types to the human model page, creating corresponding index test questions according to the human index words; designing index assessment standards in advance according to different post requirements, and matching the corresponding index assessment standards according to the post information of each employee recorded by the background management system; sending the index test questions to a training system for employee testing, and generating test results of all employees after the employee testing is finished; and generating a human model corresponding to each employee according to the test result and the corresponding index assessment standard.
The embodiment can construct the manpower model of the staff by combining training systems in different enterprises, better meet the personalized requirements in the aspect of enterprise talent management, effectively and comprehensively evaluate the knowledge storage condition and the training result of the staff, discover the advantages and the disadvantages of the staff, help the enterprises to perfect and cultivate the overall quality of the staff, convey higher-quality talents for the enterprises, improve the efficiency and the effect of enterprise talent management, and reduce the talent management cost.
Second embodiment of the invention:
please refer to fig. 3.
As shown in fig. 3, the present embodiment provides a system for building a human model of an employee, including:
and the creating content category module 100 is used for creating a staff human model page through a background management system and inputting the content category of the human model into the staff human model page according to the training requirement.
Specifically, for the create content category module 100, the manager creates a personalized staff human model page through the acquired management system of the enterprise, and inputs the content category of the human model on the page according to different training requirements of the enterprise, wherein the page includes a create content category subpage, a create test question subpage and a staff distribution test question subpage.
And the test question creating module 200 is configured to create a corresponding index test question according to the human index words after the human index words corresponding to the content categories are input to the human model page.
Specifically, for the test question creating module 200, after inputting the human index words corresponding to different content categories to the human model page, the test questions are created according to the corresponding created indexes of the different human index words, and the human index words are mainly used for indexes of the radar chart in the following and used for evaluating various skills or knowledge storage conditions of the staff.
And the design index module 300 is used for designing index assessment standards in advance according to different post requirements and matching the corresponding index assessment standards according to the post information of each employee recorded by the background management system.
Specifically, for the design index module 300, different index assessment standards are designed according to different posts, categories, grades and departments of the employees, and post information of each employee, which is previously recorded into the background management system, is matched with the preset index assessment standards.
And the employee test module 400 is configured to send the index test questions to a training system for employee testing, and generate test results of each employee after completing the employee testing.
Specifically, for the employee testing module 400, after the matching is completed, a plurality of sets of index testing questions are sent to the training system, the employee can perform corresponding employee tests through the training system (for example, an entrance of a manned model test such as an easy-to-know classroom or nailing), and after the tests are completed, the system automatically generates testing results of the employees according to answers, test questions and examination standards of the employees.
And the human model generating module 500 is used for generating a human model corresponding to each employee according to the test result and the corresponding index assessment standard.
Specifically, for the human model generation module 500, a radar map is generated by combining the human index words according to the test result of each employee and the index assessment standard corresponding to the employee, the distribution score corresponding to each human index word is displayed on the radar map, and finally the personal human model of the employee is formed. The human resource management department of the enterprise can carry out internal evaluation on the staff through the human model, further know the theoretical knowledge learning condition of the staff, the training and development evaluation, the composition of the training suggestion, the training design and system method, the development manager and enterprise leadership, the requirement evaluation and training and the like, and better meet the individual requirements of the enterprise.
The system for constructing the employee human model provided by the embodiment comprises: the system comprises a creating content category module, a training management module and a display module, wherein the creating content category module is used for creating a staff human model page through a background management system and inputting the content category of a human model on the staff human model page according to training requirements; the test question creating module is used for creating corresponding index test questions according to the human index words after the human index words corresponding to the content types are input to the human model page; the design index module is used for designing index assessment standards in advance according to different post requirements and matching the corresponding index assessment standards according to the post information of each employee, which is recorded by the background management system; the staff testing module is used for sending the index testing questions to a training system for staff testing and generating testing results of all staff after the staff testing is finished; and the human model generating module is used for generating a human model corresponding to each employee according to the test result and the corresponding index assessment standard.
The embodiment can construct the manpower model of the staff by combining training systems in different enterprises, better meet the personalized requirements in the aspect of enterprise talent management, effectively and comprehensively evaluate the knowledge storage condition and the training result of the staff, discover the advantages and the disadvantages of the staff, help the enterprises to perfect and cultivate the overall quality of the staff, convey higher-quality talents for the enterprises, improve the efficiency and the effect of enterprise talent management, and reduce the talent management cost.
The embodiment of the present invention further provides a terminal device for building an employee human model, which includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, the method for building the employee human model as described above is implemented.
The embodiment of the invention also provides a computer-readable storage medium, which comprises a stored computer program, wherein when the computer program runs, the equipment where the computer-readable storage medium is located is controlled to execute the method for constructing the employee human model.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described system embodiments are merely illustrative, and for example, the division of the modules may be a logical division, and in actual implementation, there may be another division, for example, multiple modules or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode.
The foregoing is directed to the preferred embodiment of the present invention, and it is understood that various changes and modifications may be made by one skilled in the art without departing from the spirit of the invention, and it is intended that such changes and modifications be considered as within the scope of the invention.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
Claims (10)
1. A construction method of an employee human model is characterized by at least comprising the following steps:
establishing a staff human model page through a background management system, and inputting the content type of a human model in the staff human model page according to training requirements;
after inputting the human index words corresponding to the content types to the human model page, creating corresponding index test questions according to the human index words;
designing index assessment standards in advance according to different post requirements, and matching the corresponding index assessment standards according to the post information of each employee recorded by the background management system;
sending the index test questions to a training system for employee testing, and generating test results of all employees after the employee testing is finished;
and generating a human model corresponding to each employee according to the test result and the corresponding index assessment standard.
2. The method for constructing the human model of the staff as claimed in claim 1, wherein the generating the human model corresponding to each staff comprises:
and generating a radar chart for evaluating the knowledge storage condition of the staff and training results according to the manpower index words and the test results of the staff.
3. The method for constructing the employee human model according to claim 1, wherein the employee human model page comprises a create content category sub-page, a create test question sub-page and an employee assignment test question sub-page.
4. The method for constructing the employee human model according to claim 3, wherein the created content category subpage is used for setting the category of the created content and distributing index words, test questions and assessment scores corresponding to each content category.
5. The method for constructing the employee human model according to claim 3, wherein the entity subpage is created and used for setting test question types and corresponding test question scores, and inputting question stem content, number of options, option content, correct answers and answer analysis corresponding to each test question type.
6. The method for constructing the employee human model according to claim 3, wherein the employee assignment test question sub-page is used for assigning test questions to employees of different categories, and setting test question packs, question numbers and related index words corresponding to the employees of each category.
7. The method for constructing the employee human model according to claim 2, wherein the employee knowledge storage condition and the training result comprise theoretical knowledge learning condition, training and development evaluation, training advice, training plan and enterprise requirement evaluation of the employee.
8. A system for constructing a human model of an employee, comprising:
the system comprises a creating content category module, a training management module and a display module, wherein the creating content category module is used for creating a staff human model page through a background management system and inputting the content category of a human model on the staff human model page according to training requirements;
the test question creating module is used for creating corresponding index test questions according to the human index words after the human index words corresponding to the content types are input to the human model page;
the design index module is used for designing index assessment standards in advance according to different post requirements and matching the corresponding index assessment standards according to the post information of each employee, which is recorded by the background management system;
the staff testing module is used for sending the index testing questions to a training system for staff testing and generating testing results of all staff after the staff testing is finished;
and the human model generating module is used for generating a human model corresponding to each employee according to the test result and the corresponding index assessment standard.
9. A terminal device for construction of an employee human model, comprising a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the method for construction of an employee human model as claimed in any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, comprising a stored computer program, wherein the computer program, when executed, controls an apparatus in which the computer-readable storage medium is located to perform the method for constructing the employee human model as recited in any one of claims 1 to 7.
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| CN202011500992.6A CN112529439A (en) | 2020-12-17 | 2020-12-17 | Method and system for constructing employee human model |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115860998A (en) * | 2023-02-28 | 2023-03-28 | 畅捷通信息技术股份有限公司 | Learning configuration method, device, equipment and storage medium based on real operation service |
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| CN102509184A (en) * | 2011-10-24 | 2012-06-20 | 山东城通科技有限公司 | Enterprise operation and management personnel comprehensive quality and post competence assessment system |
| CN109214681A (en) * | 2018-09-06 | 2019-01-15 | 安徽华荣远诚实业集团有限公司 | A kind of novel capability evaluation on-the-job training checking system |
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- 2020-12-17 CN CN202011500992.6A patent/CN112529439A/en active Pending
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102509184A (en) * | 2011-10-24 | 2012-06-20 | 山东城通科技有限公司 | Enterprise operation and management personnel comprehensive quality and post competence assessment system |
| CN109214681A (en) * | 2018-09-06 | 2019-01-15 | 安徽华荣远诚实业集团有限公司 | A kind of novel capability evaluation on-the-job training checking system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115860998A (en) * | 2023-02-28 | 2023-03-28 | 畅捷通信息技术股份有限公司 | Learning configuration method, device, equipment and storage medium based on real operation service |
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