CN110766251A - Talent introduction effect evaluation system and evaluation method - Google Patents
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Abstract
The application provides a talent introduction effect evaluation system and method. The system comprises: the building module is used for building an evaluation index system and determining the evaluation weight of each evaluation index in the evaluation index system; the acquisition module is used for acquiring index values of the plurality of introduced talents under each evaluation index; the association degree scoring module is used for determining the association degree score of each introduced talent according to the weight of the introduced talent in each evaluation index and the index value under each index; and the evaluation module is used for obtaining talent introduction evaluation results according to the relevance scores of the introduced talents. The system can acquire the talent introduction rating result according to the association degree by calculating the association degree of the talents and the city, thereby realizing the evaluation work of talent introduction and comprehensively reflecting the influence of talent introduction on city development.
Description
Technical Field
The application relates to the technical field of data evaluation, in particular to a talent introduction effect evaluation system and method.
Background
Talent reserve is one of the key factors for the development of urban economic culture. The result of evaluating the talent introduction effect is an important guiding factor for adjusting the strategy of talent reserve. The talent reserve strategy is adjusted according to the talent introduction effect evaluation result, so that the blindness of talent introduction can be reduced.
The current talent introduction effect evaluation generally refers to the fact that the effect of talent introduction is embodied to enterprises, and the effect of talent introduction is evaluated according to the development conditions of the enterprises.
Disclosure of Invention
In view of this, an object of the embodiments of the present application is to provide a system and a method for evaluating talent introduction effects, which can obtain a talent introduction rating result according to a correlation degree by calculating the correlation degree between a talent and a city, thereby implementing an evaluation work of talent introduction and comprehensively reflecting the influence of talent introduction on city development.
In a first aspect, an embodiment of the present application provides a system for evaluating talent introduction effects, including:
the building module is used for building an evaluation index system and determining the evaluation weight of each evaluation index in the evaluation index system;
the acquisition module is used for acquiring index values of the plurality of introduced talents under each evaluation index;
the association degree scoring module is used for determining the association degree score of each introduced talent according to the weight of the introduced talent in each evaluation index and the index value under each index;
and the evaluation module is used for obtaining talent introduction evaluation results according to the relevance scores of the introduced talents.
Optionally, the building module is configured to determine the evaluation weight of each evaluation index in the evaluation index system by:
for each evaluation index, generating a multi-polling table for the evaluation index; the questionnaire includes: a plurality of preset weight values used by the evaluation indexes corresponding to the inquiry table in the current polling;
for each polling list, obtaining a first grading result of a plurality of preset weights used by a plurality of first experts for the evaluation index in the polling list; each polling list corresponds to a first scoring result; the preset weight value of the next polling list is determined based on the first grading result of the current polling list;
and calculating the evaluation weight of the evaluation index according to the scoring results of all the questionnaires.
Optionally, the evaluation index comprises a qualitative index and/or a quantitative index.
Optionally, for a case that the evaluation indexes include quantitative indexes, a plurality of evaluation levels of each quantitative index correspond to a preset value range;
the acquisition module is specifically used for acquiring the index values of the plurality of the introduced talents under each evaluation index in the following ways:
for each introduced talent, determining the magnitude of the introduced talent under the quantitative index;
and determining the index value of the introduced talent under the quantitative index according to the evaluation grade corresponding to the preset value range in which the quantity value falls.
Optionally, the relevance scoring module is configured to:
aiming at each introduced talent, constructing an evaluation matrix of the introduced talent according to the index value of the introduced talent under each evaluation index;
and calculating the relevance grade of the introduced talents according to the evaluation weight of each evaluation index in the evaluation index system and the evaluation matrix of the introduced talents.
Optionally, the evaluation module is configured to:
and carrying out weighted summation on the relevancy scores of the introduced talents to determine the talent introduction evaluation result.
Optionally, the evaluation index includes: the system comprises one or more of monthly average tax payment indexes, education level indexes, integrity level indexes, work performance indexes, scientific research result indexes, consumption record indexes, work experience indexes, current work post replaceability indexes and enterprise technology correlation indexes.
Optionally, the system further comprises: the region range determining module is used for determining a plurality of region ranges;
the acquisition module is specifically configured to:
acquiring index values of a plurality of introduced talents in different area ranges under each evaluation index;
the evaluation module is specifically configured to:
and obtaining talent introduction evaluation results in each area range according to the relevance scores of the introduced talents in each area range.
In a second aspect, an embodiment of the present application further provides a method for evaluating talent introduction effects, including:
constructing an evaluation index system, and determining the evaluation weight of each evaluation index in the evaluation index system, wherein each evaluation index comprises a plurality of evaluation grades;
acquiring index values of the plurality of introduced talents under each evaluation index;
aiming at each introduced talent, determining the association degree score of the introduced talent according to the weight of the introduced talent in each evaluation index and the index value under each index;
and obtaining talent introduction evaluation results according to the relevance scores of the plurality of introduced talents.
Optionally, determining the evaluation weight of each evaluation index in the evaluation index system specifically includes: for each evaluation index, generating a multi-polling table for the evaluation index; the questionnaire includes: a plurality of preset weight values used by the evaluation indexes corresponding to the inquiry table in the current polling;
for each polling list, obtaining a first grading result of a plurality of preset weights used by a plurality of first experts for the evaluation index in the polling list; each polling list corresponds to a first scoring result; the preset weight value of the next polling list is determined based on the first grading result of the current polling list;
and calculating the evaluation weight of the evaluation index according to the scoring results of all the questionnaires.
Optionally, each of the evaluation indicators comprises a qualitative indicator and/or a quantitative indicator.
Optionally, in a case that the evaluation index includes a qualitative index, acquiring index values of the plurality of introduced talents under each evaluation index specifically includes: aiming at each introduced talent, acquiring second scoring results of a plurality of second experts on the introduced talent under the evaluation index;
obtaining the association degree between the introduced talents and each evaluation grade under the evaluation index according to a second scoring result of the introduced talents under the evaluation index by a plurality of second experts;
and determining the association degree between the introduced talents and each evaluation grade under the evaluation index as the index value of the introduced talents under the evaluation index.
Optionally, for a case that the evaluation indexes include quantitative indexes, a plurality of evaluation levels of each quantitative index correspond to a preset value range;
acquiring index values of a plurality of introduced talents under each evaluation index, specifically comprising:
for each introduced talent, determining the magnitude of the introduced talent under the quantitative index;
and determining the index value of the introduced talent under the quantitative index according to the evaluation grade corresponding to the preset value range in which the quantity value falls.
Optionally, for each introduced talent, determining a relevancy score of the introduced talent according to the weight of the introduced talent in each evaluation index and the index value under each index, specifically comprising: aiming at each introduced talent, constructing an evaluation matrix of the introduced talent according to the index value of the introduced talent under each evaluation index;
and calculating the relevance grade of the introduced talents according to the evaluation weight of each evaluation index in the evaluation index system and the evaluation matrix of the introduced talents.
Optionally, obtaining an talent introduction evaluation result according to the relevance scores of the introduced talents, including: obtaining talent introduction evaluation results according to relevance scores of a plurality of introduced talents
Optionally, the evaluation index includes: the system comprises one or more of monthly average tax payment indexes, education level indexes, integrity level indexes, work performance indexes, scientific research result indexes, consumption record indexes, work experience indexes, current work post replaceability indexes and enterprise technology correlation indexes.
Optionally, the method further comprises: determining a plurality of area ranges;
acquiring index values of a plurality of introduced talents under each evaluation index, specifically comprising:
acquiring index values of a plurality of introduced talents in different area ranges under each evaluation index;
obtaining talent introduction evaluation results according to the relevance scores of the introduced talents, specifically comprising:
and obtaining talent introduction evaluation results in each area range according to the relevance scores of the introduced talents in each area range.
In a third aspect, an embodiment of the present application further provides an electronic device, including: a processor, a memory and a bus, the memory storing machine-readable instructions executable by the processor, the processor and the memory communicating via the bus when the electronic device is operating, the machine-readable instructions when executed by the processor performing the steps of the second aspect described above, or the first possible implementation of the second aspect.
In a fourth aspect, this application further provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to perform the steps in the second aspect or any possible implementation manner of the second aspect.
According to the embodiment of the application, an evaluation index system is built, the evaluation weight of each evaluation index in the evaluation index system is determined, when talent introduction effect is evaluated, the index values of a plurality of introduced talents under each evaluation index are obtained, the talent introduction evaluation result is obtained according to the weight of the introduced talent under each evaluation index and the index value under each index, the association degree score of the introduced talent is determined, then the association degree score of the introduced talent is obtained according to the association degree score of the introduced talents, the talent introduction rating result can be obtained according to the association degree by calculating the association degree of the talents and a city, the evaluation work of talent introduction is realized, and the influence of talent introduction on the development of the city is comprehensively reflected.
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
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In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
FIG. 1 is a diagram illustrating a system for evaluating talent introduction effects according to an embodiment of the present application;
fig. 2 is a flowchart illustrating a specific method for determining an evaluation weight of each evaluation index in an evaluation index system by a building module in the system for evaluating talent introduction effects provided in the embodiment of the present application;
fig. 3 is a flowchart illustrating a specific method for acquiring index values of a plurality of introduced talents under each evaluation index by an acquisition module in the system for evaluating talent introduction effects according to the embodiment of the present application;
FIG. 4 is a flowchart illustrating another specific method for obtaining index values of a plurality of introduced talents under each evaluation index by the obtaining module in the system for evaluating the effect of talent introduction according to the embodiment of the present application;
fig. 5 is a flowchart illustrating a specific method for determining an association score of an introduced talent by the association score module in the system for evaluating talent introduction effects according to the embodiment of the present application;
FIG. 6 is a flowchart illustrating a method for evaluating talent introduction effects according to an embodiment of the present application;
fig. 7 shows a schematic structural diagram of a computer device provided in an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, 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 the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.
Different from the prior art, the embodiment of the application establishes an evaluation index system, determines the evaluation weight of each evaluation index in each evaluation index system, then determines the relevance grade of the introduced talents according to the obtained index values of the introduced talents under each evaluation index and the evaluation index system, and then obtains the talent introduction evaluation result according to the relevance grades of a plurality of introduced talents, thereby realizing the evaluation work of talent introduction and comprehensively reflecting the influence of talent introduction on city development.
For the convenience of understanding the present embodiment, a talent introduction effect evaluation system disclosed in the embodiments of the present application will be described in detail first. The system can evaluate the talent introduction effect of the target area by taking the area as a unit, and can evaluate the current talent introduction effect of the target industry and the target enterprise by taking the industry as a unit, taking the enterprise as a unit and the like.
The embodiment of the application evaluates talent introduction effects of target areas by taking areas as units.
Referring to fig. 1, the system for evaluating talent introduction effect according to the embodiment of the present application includes: the system comprises a construction module 10, an acquisition module 20, a correlation degree scoring module 30 and an evaluation module 40.
The functions and interaction modes of the construction module 10, the acquisition module 20, the association degree scoring module 30 and the evaluation module 40 are described in one to four paragraphs below.
Firstly, the method comprises the following steps: the building module 10 is configured to build an evaluation index system and determine an evaluation weight of each evaluation index in the evaluation index system.
In the specific implementation, the evaluation of talent introduction effect is performed based on various evaluation indexes included in an index system.
When an evaluation index system is constructed, the evaluation index is selected according to the following principle: (1) scientifically: scientificity is the most fundamental principle in the design of any index system. The method for setting the evaluation indexes, selecting the data and evaluating is based on accepted scientific theories and methods and mainly reflects in the aspects of combining theories and practice, adopting scientific methods and the like. (2) Systematicness: the systematic principle of the index system construction means that all indexes in the index system form a system as a whole, and the system has unity and integrity. (3) Correlation: each index is closely related to the influence of talent introduction on cities, namely each evaluation index can represent the influence of the introduced talents on the development of target areas to a certain extent, and the indexes also become a 'barometer' which influences the development of the target areas. (4) Operability: the selected index has operability, can objectively reflect the problem, and can acquire more accurate data to complete the task of evaluation.
The property of each evaluation index is any one of a qualitative index and a quantitative index.
For example, the evaluation index includes: the system comprises one or more of monthly average tax payment indexes, education level indexes, integrity level indexes, work performance indexes, scientific research result indexes, consumption record indexes, work experience indexes, job position replaceability indexes and enterprise technology correlation indexes.
The monthly average tax payment index, the education level index, the integrity index, the work performance index and the consumption record index can be used as quantitative indexes.
The work experience index and the scientific research result index can be used as a quantitative index and a qualitative index; for example, when the number of patent applications of the applicant is used as the number representation scientific research achievement index, the scientific research achievement index can be used as a quantitative index; when the contribution representation work experience indexes of the enterprises are represented by the introduced talents, the contribution representation work experience indexes can not be quantified and can be used as qualitative indexes; when the working years or the worked enterprises are used for representing the working experience indexes, the working experience indexes can be quantitative indexes; the scale of the enterprise for which the introduced talents supply jobs once or the importance degree of the posts are used for representing the working history, and the working history index can be a time qualitative index.
The substitutability index of the working position and the technical correlation index of the enterprise are qualitative indexes. Wherein, the substitutability index of the working position can be represented according to the supply and demand relationship of the current working position, the hardness requirement of the current working position and the like; the business-related technology relevance index can be characterized by the importance degree of the introduced talents in the business-related technology.
After the evaluation index is determined, in order to facilitate obtaining the effect of talent introduction according to the evaluation index, the evaluation index is generally divided into a plurality of evaluation levels.
For example, the evaluation levels are set to four levels of [ poor, normal, good, excellent ]; or the evaluation level is set to [ A, B, C, D, E ] for five levels.
Each evaluation grade of the evaluation index corresponds to one piece of description information. For evaluation indexes with different properties, corresponding description information is different.
For example, in the constructed evaluation index system, the included quantitative indexes include: the evaluation index system composed of the working years (working experience index), the academic levels (education degree index) and the monthly average tax payment index is shown in the following table 1:
TABLE 1
| Serial number | Index name | Grade E | Grade D | Grade C | Grade B | Class A |
| 1 | Working life | Within 1 year | Within 3 years | 4-6 years old | 7-10 years old | For more than 10 years |
| 2 | Class of academic calendar | The special science is as follows | Special section | This section | Master's soldier | Doctor (Rooibos) |
| 3 | Average monthly tax amount | 200 for a while | 200-500 | 500-1500 | 1500-5000 | Over 5000 |
In table 1, the content under A, B, C, D, E is the description information corresponding to the grade, which may be a text description, such as "under specialties" and "specialties", or a numerical range, such as "4-6 years" and "1500-5000".
For another example, the qualitative indicators included in the evaluation index system include: the substitutability index of the current working position constitutes an evaluation index system as shown in the following table 2:
TABLE 2
The description information of the qualitative index is usually a literal description, for example, "the job is technically strong, the number of talents available for the job is far less than the required number", "the job is repetitive labor, the number of talents available for the job is far more than the required number" in table 2 above.
After each evaluation index in the evaluation index system is determined, the evaluation weight of each evaluation index when evaluating the introduced talent introduction result is also determined.
Specifically, referring to fig. 2, a building block 10 provided in the embodiment of the present application is configured to determine the evaluation weight of each evaluation index in the evaluation index system by:
s201: for each evaluation index, generating a multi-polling table for the evaluation index; the questionnaire includes: and the evaluation indexes corresponding to the inquiry table are used for a plurality of preset weight values in the current polling.
Specifically, when the polling list is generated, the question to be polled needs to be described, for example, in the evaluation of talent introduction effect, the question to be polled may be described as: the evaluation indexes occupy evaluation weights in the constructed evaluation index system; after the problem description, corresponding background materials are provided as part of the scoring basis of the expert in scoring. In the application, a plurality of preset weight values are set for each evaluation index, a first expert can score the preset weight values of each evaluation index based on the problem to be inquired, and then score the multi-polling list of the same evaluation index based on all the first experts to obtain the evaluation weight of the evaluation index.
Here, the preset weight values used in the first polling list may be estimated preliminarily based on the collected background material, or obtained according to a certain algorithm.
S202: for each polling list, obtaining a first grading result of a plurality of preset weights used by a plurality of first experts for the evaluation index in the polling list; each polling list corresponds to a first scoring result; and the preset weight value of the next polling list is determined based on the first grading result of the current polling list.
The first expert is a plurality of experts with certain representativeness and authority in the field of talent introduction effect evaluation, the first expert experiences and subjective judgment are objectively integrated by inquiring opinions of a plurality of first experts and carrying out statistics, processing, analysis and induction on the opinions of the plurality of first experts, a large number of factors which are difficult to quantitatively analyze by adopting a technical method are reasonably estimated, and the evaluation weight of each evaluation index is obtained after a plurality of rounds of opinion inquiry, feedback and adjustment.
After determining the corresponding questionnaire of each evaluation index, the first expert will score a plurality of preset weight values used by the evaluation index in the polling questionnaire to obtain a corresponding first scoring result.
It should be noted here that, since the preset weight value of the next polling list is determined based on the first scoring result of the current polling list, the multi-polling list is not generated at one time before the problem polling is performed, but the first polling list is generated first; after a first scoring result of a first expert scoring the first polling list is obtained, a preset weight value corresponding to a second polling list is obtained based on the first scoring result of the first polling list, and the second polling list is generated; by the same method, a preset weight value corresponding to the third polling list can be obtained, and the third polling list is generated; until the final inquiry result is obtained.
Specifically, the following method may be adopted to obtain the preset weight value of the next polling list based on the first scoring result of the current reconnaissance scheme:
calculating an average value of all the first experts scoring the preset weight value aiming at each preset weight value of each evaluation index in the current inquiry table;
calculating expected values of the weights corresponding to the evaluation indexes according to the average values corresponding to all preset weight values of the evaluation indexes;
and determining a plurality of preset weight values of the evaluation index in the next polling list based on the expected value of the weight corresponding to the evaluation index.
Here, assuming that a weight expected value corresponding to a certain evaluation index is calculated to be 0.293, when a plurality of preset weight values corresponding to the evaluation index in the next polling list are obtained based on the expected value, the preset weight values may be set to be about 0.293; for example, if the corresponding preset weight values of the evaluation indexes in the next polling list can be respectively set as: 0.28, 0.29, 0.3, 0.31, 0.32.
The number of rounds of the questionnaire corresponding to different evaluation indexes may be the same or different, as long as the last round of the questionnaire can obtain a result meeting the requirement.
S203: and calculating the evaluation weight of the evaluation index according to the scoring results of all the questionnaires.
Here, after a multi-polling is performed on a certain evaluation index and a first scoring result corresponding to the multi-polling table is obtained, a scoring weight corresponding to the evaluation index can be calculated based on the first scoring result corresponding to the evaluation index.
Specifically, a specific method of calculating the evaluation weight of the evaluation index from the first scoring results of all the questionnaires may be adopted, the method including:
determining an expected value calculated based on a first grading result of the evaluation index in a last polling list, and taking the expected value as a final weight of the evaluation index;
and carrying out normalization processing on the final weights corresponding to all the evaluation indexes to obtain the evaluation weight corresponding to each evaluation index.
II, secondly: an obtaining module 20, configured to obtain index values of the introduced talents under each evaluation index.
In the concrete implementation, when talent introduction effect evaluation is carried out aiming at different cities, the number of introduced talents is different in different target areas; even for the same target area, the number of the introduced talents corresponding to different times is different, and thus, when the introduced talents for talent introduction effect evaluation are determined, a preset number of introduced talents can be determined from all the introduced talents of the current target area, and index values of the determined preset number of introduced talents under each evaluation index are obtained.
In addition, because the influence of the just introduced talents on the city is not reflected at the current time, and the part of the introduced talents is unreasonable to be used as the basis for evaluating the talent introduction effect, the index values of the introduced talents under each evaluation index at the historical time of the introduction time from the current preset time period can be obtained.
In order to evaluate the effect of talent introduction, it is necessary to obtain index values of a plurality of introduced talents under each evaluation index.
One is as follows: referring to fig. 3, for a case that the evaluation indexes include qualitative indexes, the obtaining module 20 is specifically configured to obtain index values of a plurality of introduced talents under each evaluation index by:
s301: and acquiring a second scoring result of the introduced talents under the evaluation index by a plurality of second experts aiming at each introduced talent.
In a specific implementation, a plurality of evaluation levels need to be determined for each qualitative index, and a score range corresponding to each evaluation level needs to be determined. The evaluation grade of each qualitative index is different from that of other qualitative indexes according to the difference between the evaluation grade of each qualitative index and other qualitative indexes, and the number of the evaluation grades corresponding to different qualitative indexes may be different or the same. To distinguish the scores of the qualitative indicators, a plurality of evaluation levels are determined for each qualitative indicator. As shown in table 2 above.
After a plurality of evaluation registrations and a scoring range corresponding to each evaluation grade are determined for each qualitative index, in order to accurately score a plurality of qualitative standards and obtain a qualitative index value evaluation score corresponding to each qualitative standard, a second scoring result of each qualitative index by a plurality of second experts is obtained. The second scoring result is obtained by the second expert scoring the qualitative indexes according to the evaluation level corresponding to each qualitative index and the scoring range corresponding to each evaluation level based on the scoring standard corresponding to each evaluation level and based on the judgment of objective facts and own experience.
S302: and obtaining the association degree between the introduced talents and each evaluation grade under the evaluation index according to a second scoring result of the introduced talents under the evaluation index by the plurality of second experts.
S303: and determining the association degree between the introduced talents and each evaluation grade under the evaluation index as the index value of the introduced talents under the evaluation index.
After obtaining the second scoring results of the second experts for each qualitative index, determining the association degree between the introduced talents and each evaluation level under the evaluation index based on the second scoring results. The more the second experts consider that the introduced talent should be assigned to that evaluation level under the evaluation index, the higher the degree of association between it and the evaluation level. Conversely, the fewer second experts there are that the introduced talent should be assigned to that evaluation level under the evaluation index, the lower the degree of association between it and that evaluation level.
After a second scoring result of the introduced talent under the evaluation index by the multidimensional second expert is obtained, the association degree between the introduced talent and each evaluation level can be determined based on the corresponding relationship between the second scoring result and the evaluation level.
For example, after one hundred experts score the substitutability index of an introduced talent a at the current work station, the following results are obtained according to the corresponding relationship between the second scoring result and the evaluation level: there were 10 experts who considered their corresponding rating as "very poor substitutability"; 55 experts regard the corresponding grade as 'poor substitutability', and 25 experts regard the corresponding grade as 'normal substitutability'. 10 experts regard the corresponding grade as 'substitutability strong', and 0 experts regard the corresponding grade as 'substitutability very strong'. Then according to the sequence of the evaluation grades from high to low, the relevance degree between each evaluation grade of the introduced talent beetle under the substitutability index of the current working position is as follows: 0.10, 0.55, 0.25, 0.10, 0.
Then the index value of the introduced talent A under the substitutability index of the current working position is confirmed to be [0.15, 0.55, 0.25, 0.05, 0 ].
The second step is as follows: referring to fig. 4, in a case that the evaluation indexes include quantitative indexes, a plurality of evaluation levels of each quantitative index correspond to a preset value range; the acquisition module is specifically used for acquiring the index values of the plurality of the introduced talents under each evaluation index in the following ways:
s401: for each introduced talent, determining the magnitude of the introduced talent under the quantitative index;
s402: and determining the index value of the introduced talent under the quantitative index according to the evaluation grade corresponding to the preset value range in which the quantity value falls.
In the specific implementation, the quantitative indexes are indexes with clear directivity, the quantity values of the introduced talents under the qualitative indexes are what, and under the condition that the value range of the evaluation grade is determined, the corresponding evaluation grade is also determined.
The method for acquiring the quantity value of the introduced talents under the quantitative indexes can be obtained by crawling from a preset platform according to different quantitative indexes. For example, the monthly average tax payment indicators may be obtained from the enterprise's financial platform; education level index, which can be obtained from the education platform; the integrity index can be obtained from a bank integrity platform; the work performance index can be obtained from a personnel management platform of an enterprise; scientific research achievement indexes and consumption record indexes can be obtained from a bank service platform.
For example, in the above evaluation index system in table 1, if the value of a certain introduced talent a under the working year index is 9 years, the corresponding evaluation grade under the working year index is B, and if the degree of association of the evaluation grade that the introduced talent belongs to under the evaluation index is 1 and the degree of association that the introduced talent does not belong to is 0, the index value of the certain introduced talent a under the working year index may be, in the order of the evaluation grades from high to low: [0, 1, 0 ].
Thirdly, the method comprises the following steps: and the association degree scoring module 30 is configured to determine, for each introduced talent, an association degree score of the introduced talent according to the weight of the introduced talent in each evaluation index and the index value under each index.
In specific implementation, the index value of the introduced talent under the evaluation index is represented by the relevance between the introduced talent and each evaluation grade of the evaluation index. Specifically, the index values of an introduced talent under each index may be used to form an evaluation matrix of the introduced talent, and then the association score of the introduced talent may be obtained according to the evaluation matrix.
Specifically, referring to fig. 5, an embodiment of the present application provides a specific method for determining the association score of the introduced talent by the association score module 30, which includes:
s501: aiming at each introduced talent, constructing an evaluation matrix of the introduced talent according to the index value of the introduced talent under each evaluation index;
s502: and calculating the relevance grade of the introduced talents according to the evaluation weight of each evaluation index in the evaluation index system and the evaluation matrix of the introduced talents.
In the specific implementation, for example:
the evaluation index system C includes m evaluation indexes represented as: c ═ C1,c2,...,cm}。
Each evaluation index corresponds to n evaluation grades, which are expressed as: v ═ V1,v2,……,vn}。
Aiming at any evaluation index, the relevance of each evaluation grade of the introduced talents under the evaluation index is as follows: r isij。
Wherein i represents the ith evaluation index and has a value range of 1-m. j represents the jth grade of the evaluation index, and the numeric area is 1-n.
The index values of the introduced talents under the i evaluation indexes can be expressed as: { ri1,ri2,...,rin}
Then, according to the index values of the introduced talents under each evaluation index, the constructed evaluation matrix R of the introduced talents satisfies the following conditions:
the relevance score P of the introduced talent satisfies:
wherein A is an index evaluation systemA weight vector composed of evaluation weights of the evaluation indexes, and the evaluation weight of the ith evaluation index is ai(ii) a The value range of i is 1-n.
Fourthly, the method comprises the following steps: and the evaluation module is used for obtaining talent introduction evaluation results according to the relevance scores of the introduced talents.
In a specific implementation, the talent introduction evaluation result may be determined by performing weighted summation on the relevancy scores of a plurality of introduced talents.
Specifically, the degree of influence of different introduced talents on the development of a city is different, and the degree of influence is correlated with at least one characteristic of the introduced talents. For example, in general, the higher the education level of an introduced talent, the greater the impact on urban development; the more scientific achievements are, the greater the influence degree on city development is; the more sophisticated introduced talents in the job-providing post have a greater degree of influence on the development of the city.
Thus, different weights may be determined for different talents based on some characteristics possessed by the introduced talents themselves. The larger the weight is, the larger the influence degree of the representation of the introduced talents on the urban development is; conversely, the smaller the weight, the smaller the degree of influence of the representation of the introduced talents on the urban development. In determining the weights of the introduced talents, the weights may be divided for a certain class of introduced talents having the same characteristics. For example, the same characteristics of the introduced talents are determined based on the industry of supply, i.e., the same industry of supply can be used as a type of talent; for example, the same characteristics of the introduced talents are determined based on the average monthly taxes, that is, the introduced talents with the average monthly taxes in the same taxes interval are used as the talents of the same type.
For the determination of the weights corresponding to different types of introduced talents, an expert scoring method may be adopted, which is not described herein again.
Specifically, if the talent introduction results of a certain type of introduced talents are evaluated, the weights of all introduced talents are the same.
According to the embodiment of the application, an evaluation index system is built, the evaluation weight of each evaluation index in the evaluation index system is determined, when talent introduction effect is evaluated, the index values of a plurality of introduced talents under each evaluation index are obtained, the talent introduction evaluation result is obtained according to the weight of the introduced talent under each evaluation index and the index value under each index, the association degree score of the introduced talent is determined, then the association degree score of the introduced talent is obtained according to the association degree score of the introduced talents, the talent introduction rating result can be obtained according to the association degree by calculating the association degree of the talents and a city, the evaluation work of talent introduction is realized, and the influence of talent introduction on the development of the city is comprehensively reflected.
Referring to fig. 1, in a system for evaluating talent introduction effect according to another embodiment of the present application, the system further includes: a region range determination module 50 for determining a plurality of region ranges;
the obtaining module 20 is specifically configured to:
acquiring index values of a plurality of introduced talents in different area ranges under each evaluation index;
the evaluation module 40 is specifically configured to:
and obtaining talent introduction evaluation results in each area range according to the relevance scores of the introduced talents in each area range.
In a specific implementation, the area range may be specifically set according to actual needs, and optionally, the area range may be determined by administrative units of a region. For example, a city and a province are determined as the region range.
When the effect evaluation of talent introduction is performed for each area range, the index values of the plurality of introduced talents in the area range under each evaluation index may be obtained based on the area range, and the talent introduction evaluation result in the area range may be determined according to the relevance scores of the plurality of introduced talents in each area range.
Based on the same inventive concept, the embodiment of the present application further provides a method for evaluating the effect of talent introduction corresponding to the system for evaluating the effect of talent introduction, and since the principle of solving the problem of the device in the embodiment of the present application is similar to the method for evaluating the effect of talent introduction described above in the embodiment of the present application, the implementation of the device can be referred to the implementation of the method, and repeated details are omitted.
Referring to fig. 6, a method for evaluating talent introduction effect provided in the embodiment of the present application includes:
s601: constructing an evaluation index system, and determining the evaluation weight of each evaluation index in the evaluation index system, wherein each evaluation index comprises a plurality of evaluation grades;
s602: acquiring index values of the plurality of introduced talents under each evaluation index;
s603: aiming at each introduced talent, determining the association degree score of the introduced talent according to the weight of the introduced talent in each evaluation index and the index value under each index;
s604: and obtaining talent introduction evaluation results according to the relevance scores of the plurality of introduced talents.
According to the embodiment of the application, an evaluation index system is built, the evaluation weight of each evaluation index in the evaluation index system is determined, when talent introduction effect is evaluated, the index values of a plurality of introduced talents under each evaluation index are obtained, the talent introduction evaluation result is obtained according to the weight of the introduced talent under each evaluation index and the index value under each index, the association degree score of the introduced talent is determined, then the association degree score of the introduced talent is obtained according to the association degree score of the introduced talents, the talent introduction rating result can be obtained according to the association degree by calculating the association degree of the talents and a city, the evaluation work of talent introduction is realized, and the influence of talent introduction on the development of the city is comprehensively reflected.
Optionally, determining the evaluation weight of each evaluation index in the evaluation index system specifically includes: for each evaluation index, generating a multi-polling table for the evaluation index; the questionnaire includes: a plurality of preset weight values used by the evaluation indexes corresponding to the inquiry table in the current polling;
for each polling list, obtaining a first grading result of a plurality of preset weights used by a plurality of first experts for the evaluation index in the polling list; each polling list corresponds to a first scoring result; the preset weight value of the next polling list is determined based on the first grading result of the current polling list;
and calculating the evaluation weight of the evaluation index according to the scoring results of all the questionnaires.
Optionally, each of the evaluation indicators comprises a qualitative indicator and/or a quantitative indicator.
Optionally, in a case that the evaluation index includes a qualitative index, acquiring index values of the plurality of introduced talents under each evaluation index specifically includes: aiming at each introduced talent, acquiring second scoring results of a plurality of second experts on the introduced talent under the evaluation index;
obtaining the association degree between the introduced talents and each evaluation grade under the evaluation index according to a second scoring result of the introduced talents under the evaluation index by a plurality of second experts;
and determining the association degree between the introduced talents and each evaluation grade under the evaluation index as the index value of the introduced talents under the evaluation index.
Optionally, for a case that the evaluation indexes include quantitative indexes, a plurality of evaluation levels of each quantitative index correspond to a preset value range;
acquiring index values of a plurality of introduced talents under each evaluation index, specifically comprising:
for each introduced talent, determining the magnitude of the introduced talent under the quantitative index;
and determining the index value of the introduced talent under the quantitative index according to the evaluation grade corresponding to the preset value range in which the quantity value falls.
Optionally, for each introduced talent, determining a relevancy score of the introduced talent according to the weight of the introduced talent in each evaluation index and the index value under each index, specifically comprising: aiming at each introduced talent, constructing an evaluation matrix of the introduced talent according to the index value of the introduced talent under each evaluation index;
and calculating the relevance grade of the introduced talents according to the evaluation weight of each evaluation index in the evaluation index system and the evaluation matrix of the introduced talents.
Optionally, obtaining an talent introduction evaluation result according to the relevance scores of the introduced talents, including: obtaining talent introduction evaluation results according to relevance scores of a plurality of introduced talents
Optionally, the evaluation index includes: the system comprises one or more of monthly average tax payment indexes, education level indexes, integrity level indexes, work performance indexes, scientific research result indexes, consumption record indexes, work experience indexes, current work post replaceability indexes and enterprise technology correlation indexes.
Optionally, the method further comprises: determining a plurality of area ranges;
acquiring index values of a plurality of introduced talents under each evaluation index, specifically comprising:
acquiring index values of a plurality of introduced talents in different area ranges under each evaluation index;
obtaining talent introduction evaluation results according to the relevance scores of the introduced talents, specifically comprising:
and obtaining talent introduction evaluation results in each area range according to the relevance scores of the introduced talents in each area range.
Corresponding to the method for evaluating talent introduction effect in fig. 6, an embodiment of the present application further provides a computer device, as shown in fig. 7, the device includes a memory 1000, a processor 2000 and a computer program stored in the memory 1000 and executable on the processor 2000, wherein the processor 2000 implements the steps of the method for evaluating talent introduction effect when executing the computer program.
Specifically, the memory 1000 and the processor 2000 may be general memories and processors, and are not specifically limited herein, and when the processor 2000 runs a computer program stored in the memory 1000, the method for evaluating the talent introduction effect may be executed, so as to solve the problem in the prior art that the effect of talent introduction is evaluated through the development situation of an enterprise, which only reflects the influence of talent introduction on city development one-sidedly, and further achieve the effects of enabling to obtain a talent introduction rating result according to the correlation degree by calculating the correlation degree of talents and cities, thereby implementing the evaluation work of talent introduction, and comprehensively reflecting the influence of talent introduction on city development.
Corresponding to the method for evaluating talent introduction effect in fig. 6, an embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and the computer program is executed by a processor to perform the steps of the method for evaluating talent introduction effect.
Specifically, the storage medium can be a general storage medium, such as a mobile disk, a hard disk, and the like, and when a computer program on the storage medium is run, the method for evaluating the effect of talent introduction can be executed, so that the problem that the effect of talent introduction is evaluated through the development condition of an enterprise and the influence of talent introduction on city development can only be reflected one-sidedly in the prior art is solved, and the effects of calculating the association degree of talents and cities, obtaining a talent introduction rating result according to the association degree, realizing the evaluation work of talent introduction and comprehensively reflecting the influence of talent introduction on city development are achieved.
The computer program product of the talent introduction effect evaluation system and the talent introduction effect evaluation method provided in the embodiments of the present application includes a computer-readable storage medium storing program codes, instructions included in the program codes may be used to execute the methods described in the foregoing method embodiments, and specific implementations may refer to the method embodiments and are not described herein again.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the system and the apparatus described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units 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 of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present application, and are used for illustrating the technical solutions of the present application, but not limiting the same, and the scope of the present application is not limited thereto, and although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope disclosed in the present application; such modifications, changes or substitutions do not depart from the spirit and scope of the exemplary embodiments of the present application, and are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A talent introduction effect evaluation system, comprising:
the building module is used for building an evaluation index system and determining the evaluation weight of each evaluation index in the evaluation index system;
the acquisition module is used for acquiring index values of the plurality of introduced talents under each evaluation index;
the association degree scoring module is used for determining the association degree score of each introduced talent according to the weight of the introduced talent in each evaluation index and the index value under each index;
and the evaluation module is used for obtaining talent introduction evaluation results according to the relevance scores of the introduced talents.
2. The system of claim 1, wherein the construction module is configured to determine the evaluation weight of each evaluation index in the evaluation index system by:
for each evaluation index, generating a multi-polling table for the evaluation index; the questionnaire includes: a plurality of preset weight values used by the evaluation indexes corresponding to the inquiry table in the current polling;
for each polling list, obtaining a first grading result of a plurality of preset weights used by a plurality of first experts for the evaluation index in the polling list; each polling list corresponds to a first scoring result; the preset weight value of the next polling list is determined based on the first grading result of the current polling list;
and calculating the evaluation weight of the evaluation index according to the scoring results of all the questionnaires.
3. The system of claim 1, wherein the evaluation index comprises a qualitative index and/or a quantitative index.
4. The system according to claim 3, wherein, for the case that the evaluation index includes a qualitative index, the obtaining module is specifically configured to obtain the index values of the plurality of the introduced talents under the respective evaluation indexes by:
aiming at each introduced talent, acquiring second scoring results of a plurality of second experts on the introduced talent under the evaluation index;
obtaining the association degree between the introduced talents and each evaluation grade under the evaluation index according to a second scoring result of the introduced talents under the evaluation index by a plurality of second experts;
and determining the association degree between the introduced talents and each evaluation grade under the evaluation index as the index value of the introduced talents under the evaluation index.
5. The system according to claim 3, wherein for the case that the evaluation indexes include quantitative indexes, a plurality of evaluation levels of each quantitative index correspond to a preset value range;
the acquisition module is specifically used for acquiring the index values of the plurality of the introduced talents under each evaluation index in the following ways:
for each introduced talent, determining the magnitude of the introduced talent under the quantitative index;
and determining the index value of the introduced talent under the quantitative index according to the evaluation grade corresponding to the preset value range in which the quantity value falls.
6. The system of claim 1, wherein the relevancy scoring module is configured to:
aiming at each introduced talent, constructing an evaluation matrix of the introduced talent according to the index value of the introduced talent under each evaluation index;
and calculating the relevance grade of the introduced talents according to the evaluation weight of each evaluation index in the evaluation index system and the evaluation matrix of the introduced talents.
7. The system of claim 1, wherein the evaluation module is configured to:
and carrying out weighted summation on the relevancy scores of the introduced talents to determine the talent introduction evaluation result.
8. The system of claim 1, wherein the evaluation index comprises: the system comprises one or more of monthly average tax payment indexes, education level indexes, integrity level indexes, work performance indexes, scientific research result indexes, consumption record indexes, work experience indexes, current work post replaceability indexes and enterprise technology correlation indexes.
9. The system of claim 1, further comprising: the region range determining module is used for determining a plurality of region ranges;
the acquisition module is specifically configured to:
acquiring index values of a plurality of introduced talents in different area ranges under each evaluation index;
the evaluation module is specifically configured to:
and obtaining talent introduction evaluation results in each area range according to the relevance scores of the introduced talents in each area range.
10. A talent introduction effect evaluation method, comprising:
constructing an evaluation index system, and determining the evaluation weight of each evaluation index in the evaluation index system, wherein each evaluation index comprises a plurality of evaluation grades;
acquiring index values of the plurality of introduced talents under each evaluation index;
aiming at each introduced talent, determining the association degree score of the introduced talent according to the weight of the introduced talent in each evaluation index and the index value under each index;
and obtaining talent introduction evaluation results according to the relevance scores of the plurality of introduced talents.
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