CN116307921A - Method and system for evaluating talent growth - Google Patents
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Abstract
The invention discloses a method and a system for evaluating talent growth, wherein the method comprises the steps of constructing a talent growth evaluation index library; performing standardization treatment on talent assessment indexes to obtain standard indexes; measuring the information quantity of the standard index, calculating index weight based on the information quantity of the standard index, and arranging the numerical values of the index weight in sequence to obtain a weight sequence of the standard index; and calculating to obtain talent assessment results based on the important indexes and the talent growth assessment model. According to the talent growth evaluation method, a talent growth evaluation index library is constructed through talent evaluation indexes input by an evaluation user, talent evaluation index data of target personnel are processed based on the talent growth evaluation index library, a talent evaluation result is obtained through calculation by utilizing a talent growth evaluation model, whether the target personnel meet talent growth evaluation requirements is judged through the evaluation result, multi-index evaluation is carried out on the target personnel in the talent growth process, and the evaluation result is objective and scientific.
Description
Technical Field
The invention relates to the technical field of talent assessment, in particular to a method and a system for assessing talent growth.
Background
With the development of economy and society, various large-scale enterprises are layered endlessly, and the enterprises need various talents. However, talent management and how to choose recruitment to various excellent people become a great difficulty in enterprise human resource management. Meanwhile, with the continuous deep innovation of the education system in China, the innovation scheme of the college entrance examination system is brought out, and the comprehensive quality evaluation of students is improved. At present, talent assessment of enterprises becomes a key link of talent management of enterprises, and a talent assessment system inside the enterprises is established for many enterprises, particularly large enterprises. However, scientific talent assessment is an objective method and means for selecting and disabling, and provides scientific reference basis for personnel to select, record, train, improve the ability and the like, and also provides consultation for personal development.
At present, the talent evaluation in the market is mainly software evaluation, the evaluation method is mainly in a questionnaire form, and the evaluation result is mainly displayed in an electronic report mode. However, the existing talent assessment process is simple, single in form, low in accuracy of assessment results, and unfavorable for providing more objective talent assessment results.
Disclosure of Invention
The present invention is directed to a method and system for assessing talent growth, which solve the above-mentioned problems.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a method of assessing talent growth comprising the steps of:
s10, constructing a talent growth evaluation index library, wherein the index library comprises a plurality of preset talent evaluation indexes;
s20, acquiring talent assessment indexes of target personnel, and performing standardized processing on the talent assessment indexes to obtain standard indexes;
s30, measuring the information quantity of the standard index, calculating index weight based on the information quantity of the standard index, and sequentially arranging the numerical values of the index weight to obtain a weight sequence of the standard index;
s40, selecting a plurality of important indexes from the weight sequence according to a preset threshold, constructing a talent growth assessment model, and calculating to obtain talent assessment results based on the important indexes and the talent growth assessment model.
As a further scheme of the invention: talent assessment indicators include academic information, employment experiences, skill levels, communication capabilities, management capabilities, administrative capabilities, interpersonal relationships, impact, health information, and the like.
As still further aspects of the invention: the method for carrying out standardization treatment on the talent assessment index comprises the following steps:
s21, forward processing is carried out on talent assessment indexes to obtain forward indexes;
s22, carrying out standardization processing on the forward index according to a standardization formula to obtain a standard index, wherein the standardization formula is as follows:
wherein x is i Representing the ith normalized talent assessment index, i.e. the ith forward normalization index;
representing the ith standard index; n represents the number of forward indices.
As still further aspects of the invention: a method for measuring information quantity of standard indexes and calculating index weights based on the information quantity of the standard indexes, comprising the following steps:
s31, obtaining a correlation coefficient of a standard index;
s32, measuring the information quantity of the standard index according to the correlation coefficient of the standard index;
s33, calculating index weight according to the information quantity of the standard index.
As still further aspects of the invention: the calculation formula of the correlation coefficient of the standard index is as follows:
wherein, xi ij Representing the correlation coefficient of the ith index and the jth index, and xi ij A closer to 1 indicates a greater degree of correlation between the two indices; x is x i Represents the i-th standard index x; y is j Represents the j-th standard index y.
As still further aspects of the invention: the information quantity of the standard index is measured by the following formula:
wherein, C represents the information quantity measurement value of the index, and the larger the value of C is, the larger the information quantity contained is; sigma (sigma) ij Indicating index x i And y j Mean square error of (a); 1-zeta ij Indicating index x i And y j Conflict between them.
As still further aspects of the invention: the calculation formula of the standard index weight is as follows:
wherein W represents an index weight; c (C) k An information quantity measurement value representing a kth index; m represents the number of indices used to calculate the index weight.
As still further aspects of the invention: in step S40, the method for selecting a plurality of important indexes from the weight sequence according to the preset threshold includes the following steps:
step one, setting a preset threshold value;
and step two, comparing the preset threshold value with index weight values in the weight sequence to obtain index weights with weight values larger than the preset threshold value, wherein the index weights are important indexes.
As still further aspects of the invention: in step S40, the method for calculating talent assessment results includes the following steps:
s41, constructing a talent growth evaluation model, wherein the talent growth evaluation model is as follows:
B＝A·R
wherein B represents talent evaluation results, A represents a weight vector matrix of important indexes, R represents a rank fuzzy comprehensive evaluation matrix,
r ij represents the membership degree of the important index set U with respect to the judgment level V, and U= { U 1 ，u 2 ，...，u m }，V＝{v 1 ，v 2 ，...，v n Judging each important index in the U according to the grade index in the judging grade V to obtain a grade fuzzy comprehensive evaluation matrix R;
s42, establishing an important index set based on a plurality of important indexes, grading each important index in the important index set, establishing a judgment grade, and inputting the important index set and the judgment grade into a talent growth evaluation model to obtain an evaluation result.
A system for assessing talent growth, comprising:
the talent growth evaluation index library comprises a plurality of preset talent evaluation indexes;
the index acquisition module is used for acquiring talent assessment indexes of target personnel; the talent evaluation index is also used for carrying out standardized processing on the talent evaluation index to obtain a standard index;
the data processing module is used for measuring the information quantity of the standard index, calculating the index weight based on the information quantity of the standard index, and arranging the numerical values of the index weights in sequence to obtain a weight sequence of the standard index;
and the talent evaluation module is used for selecting a plurality of important indexes from the weight sequence according to a preset threshold value, constructing a talent growth evaluation model, and calculating to obtain talent evaluation results based on the important indexes and the talent growth evaluation model.
Compared with the prior art, the invention has the beneficial effects that: according to the talent growth evaluation method, a talent growth evaluation index library is constructed through talent evaluation indexes input by an evaluation user, talent evaluation index data of target personnel are processed based on the talent growth evaluation index library, a talent evaluation result is obtained through calculation by utilizing a talent growth evaluation model, whether the target personnel meet talent growth evaluation requirements is judged through the evaluation result, multi-index evaluation is carried out on the target personnel in the talent growth process, and the evaluation result is objective and scientific.
Drawings
FIG. 1 is a flow chart of a method of assessing talent growth.
FIG. 2 is a flowchart of step S30 in the method for assessing talent growth.
FIG. 3 is a flowchart of step S40 in the method for assessing talent growth.
FIG. 4 is a block diagram of a system for assessing talent growth.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
It is noted that various aspects of the embodiments are described below within the scope of the following claims. It should be apparent that the aspects described herein may be embodied in a wide variety of forms and that any specific structure and/or function described herein is merely illustrative. Based on the present disclosure, one skilled in the art will appreciate that one aspect described herein may be implemented independently of any other aspect, and that two or more of these aspects may be combined in various ways. For example, an apparatus may be implemented and/or a method practiced using any number of the aspects set forth herein. In addition, such apparatus may be implemented and/or such methods practiced using other structure and/or functionality in addition to one or more of the aspects set forth herein.
It should be understood that although the terms first, second, etc. may be used in embodiments of the present invention to describe various information, these information should not be limited by these terms. These terms are only used to distinguish one type of information from another.
With the development of economy and society, various large-scale enterprises are layered endlessly, and the enterprises need various talents. However, talent management and how to choose recruitment to various excellent people become a great difficulty in enterprise human resource management. Meanwhile, with the continuous deep innovation of the education system in China, the innovation scheme of the college entrance examination system is brought out, and the comprehensive quality evaluation of students is improved.
At present, the talent evaluation in the market is mainly software evaluation, the evaluation method is mainly in a questionnaire form, and the evaluation result is mainly displayed in an electronic report mode. However, the existing talent assessment process is simple, single in form, low in accuracy of assessment results, and unfavorable for providing more objective talent assessment results.
Referring to fig. 1 to 3, in an embodiment of the invention, a method for evaluating talent growth includes the following steps:
s10, constructing a talent growth assessment index library, wherein the index library comprises a plurality of preset talent assessment indexes, the talent assessment indexes comprise academic information, employment experiences, technical level, communication capacity, management capacity, administrative capacity, interpersonal relationship, influence, health information and the like, the health information in the talent assessment indexes comprises physical health information and psychological health information of target personnel, the physical health information can be reflected through physical examination reports of the target personnel, and the psychological health information can be reflected through test results of psychological test questionnaires of the target personnel;
in this embodiment, a database for talent growth assessment is established by establishing an assessment index database, and the capacity of the database is increased by inputting preset talent assessment indexes, so that the data of the database is enriched, thereby being beneficial to improving the accuracy and efficiency of talent growth assessment.
S20, acquiring talent assessment indexes of target personnel, and carrying out standardized processing on the talent assessment indexes to obtain standard indexes, wherein the types of talent assessment of the target personnel include performance assessment, talent checking, competitive lifting, culture development, tissue investigation, annual statement staff, employee correction, capability assessment, high-potential identification, annual assessment, internal recruitment, on-duty assessment or backup lifting, and the standard data is obtained by carrying out standardized processing on talent assessment indexes due to the data difference of assessment index data required by various different talent assessments, so that talent assessment index data are standardized, and the calculation of subsequent assessment results is facilitated;
in the embodiment of the invention, the method for carrying out standardized processing on the talent assessment index comprises the following steps:
s21, forward processing is carried out on talent assessment indexes to obtain forward indexes;
s22, carrying out standardization processing on the forward index according to a standardization formula to obtain a standard index;
it should be noted that, in the embodiment of the present invention, the standardized formula is:
wherein x is i Representing the ith normalized talent assessment index, i.e. the ith forward normalization index;
representing the ith standard index; n represents the number of forward indices.
S30, measuring the information quantity of the standard index, calculating index weight based on the information quantity of the standard index, and sequentially arranging the numerical values of the index weight to obtain a weight sequence of the standard index;
in the embodiment of the invention, the method for measuring the information quantity of the standard index and calculating the index weight based on the information quantity of the standard index comprises the following steps:
s31, calculating a correlation coefficient of a standard index, wherein the calculation formula of the correlation coefficient of the standard index is as follows:
wherein, xi ij Representing the correlation coefficient of the ith index and the jth index, and xi ij A closer to 1 indicates a greater degree of correlation between the two indices; x is x i Represents the i-th standard index x; y is j Represents the j-th standard index y.
S32, measuring the information quantity of standard indexes according to the correlation coefficient of the standard indexes, wherein the measurement formula of the information quantity of the standard indexes is as follows:
wherein, C represents the information quantity measurement value of the index, and the larger the value of C is, the larger the information quantity contained is; sigma (sigma) ij Indicating index x i And y j Mean square error of (a); 1-zeta ij Indicating index x i And y j Conflict between them;
s33, calculating index weight according to the information quantity of the standard index, wherein the calculation formula of the standard index weight is as follows:
wherein W represents an index weight; c (C) k An information quantity measurement value representing a kth index; m represents the number of indices used to calculate the index weight.
In the embodiment of the invention, the method for obtaining the weight sequence of the standard index by sequentially arranging the numerical values of the index weights comprises the following steps: the numerical values of the index weights are arranged according to the order of the numerical values, wherein the numerical values can be arranged according to the order of the numerical values from large to small or from small to large, and the specific arrangement mode is set by an evaluator.
S40, selecting a plurality of important indexes from the weight sequence according to a preset threshold value, constructing a talent growth evaluation model, and calculating to obtain talent evaluation results based on the important indexes and the talent growth evaluation model, wherein the method for selecting the plurality of important indexes from the weight sequence according to the preset threshold value comprises the following steps:
step one, setting a preset threshold value;
step two, comparing the preset threshold value with index weight values in the weight sequence to obtain index weights with weight values larger than the preset threshold value, wherein the index weights are important indexes;
in step S40 of the embodiment of the present invention, the method for calculating talent assessment results includes the following steps:
s41, constructing a talent growth evaluation model, wherein the talent growth evaluation model is as follows:
B＝A·R
wherein B represents talent evaluation results, A represents a weight vector matrix of important indexes, R represents a rank fuzzy comprehensive evaluation matrix,
r ij represents the membership degree of the important index set U with respect to the judgment level V, and U= { U 1 ，u 2 ，...，u m }，V＝{v 1 ，v 2 ，...，v n Judging each important index in the U according to the grade index in the judging grade V to obtain a grade fuzzy comprehensive evaluation matrix R;
s42, establishing an important index set based on a plurality of important indexes, grading each important index in the important index set, establishing a judgment grade, and inputting the important index set and the judgment grade into a talent growth evaluation model to obtain an evaluation result;
s43, judging whether the target personnel meets talent growth evaluation requirements or not based on the evaluation result.
In the multi-index comprehensive evaluation method, the index weight affects the evaluation result, and in the subjective weighting method, the index weight is affected by subjective preference of an evaluator, so that the importance degree of the index is difficult to be scientifically measured. The objective weighting method is based on the influence of the data information quantization index on the evaluation result. The entropy weighting method is an important objective weighting method by mining the difference information among evaluation indexes to obtain the index weight. The method provided by the invention analyzes the index information quantity from two information angles of the contrast intensity and the conflict, the contrast intensity reflects the difference between the evaluation indexes based on the mean square error idea, the conflict reflects the relevance between the indexes based on the correlation coefficient, the relevance and the difference between the indexes are comprehensively considered, the defect in the entropy weight method is overcome, the weighting process is more objective and scientific, the information contained in the index data is fully mined, and the rationality and objectivity of the weighting are improved.
Referring to fig. 4, the invention also discloses a system for evaluating talent growth, comprising:
a talent growth evaluation index library 10 including a plurality of preset talent evaluation indexes;
an index obtaining module 20, configured to obtain talent assessment indexes of target personnel; the talent evaluation index is also used for carrying out standardized processing on the talent evaluation index to obtain a standard index;
the data processing module 30 is configured to measure the information amount of the standard indicator, calculate an indicator weight based on the information amount of the standard indicator, and sequentially arrange the values of the indicator weights to obtain a weight sequence of the standard indicator;
the talent assessment module 40 is configured to select a plurality of important indexes from the weight sequence according to a preset threshold, construct a talent growth assessment model, and calculate a talent assessment result based on the important indexes and the talent growth assessment model.
Further, in the embodiment of the present invention, the talent growth evaluation index library 10 includes a data receiving unit 11, a data updating unit 12, and a database 13, where the data receiving unit 11 is connected to the data updating unit 12, and the data updating unit 12 is connected to the database 13, where:
a data receiving unit 11 for receiving talent assessment indicators input by a user;
a data updating unit 12, configured to update the database 13 when talent evaluation indexes are input, input the talent evaluation indexes into the database 13, and reject repeated talent evaluation indexes in the input process;
a database 13 for storing talent assessment indicators.
Further, the data processing module 30 includes a data calculating unit 31, a data arranging unit 32, and a data storing unit 33, the data calculating unit 31 is connected to the data arranging unit 32, and the data arranging unit 32 is connected to the data storing unit, wherein:
a data calculation unit 31 for the information amount of the standard index; the method is also used for calculating index weight according to the information quantity of the standard index;
a data arrangement unit 32, configured to sequentially arrange the values of the index weights to obtain a weight sequence of the standard index;
and a data storage unit 33 for storing the weight sequence of the standard index.
Further, some embodiments may include a storage medium having a program for executing the method described in the present specification on a computer, on which at least one instruction, at least one program, a code set, or an instruction set is stored, which when loaded and executed by a processor, implements the steps of the above-described method embodiments, examples of the computer-readable recording medium include hardware devices specifically configured for storing and executing program commands, magnetic media such as hard disks, floppy disks, and magnetic tape, optical recording media such as CD-ROMs, DVDs, magneto-optical media such as floppy disks, and ROMs, RAMs, flash memories, and the like. Examples of program commands may include machine language code written by a compiler, high-level language executed by a computer using an interpreter, or the like.
Those of ordinary skill in the art will appreciate that implementing all or a portion of the processes of the above-described embodiments may be accomplished by at least one instruction, at least one program, code set, or instruction set that may be executed by associated hardware, the at least one instruction, at least one program, code set, or instruction set may be stored in a non-transitory computer-readable storage medium, the at least one instruction, at least one program, code set, or instruction set, when executed, may comprise processes of embodiments of the above-described methods. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory.
In summary, the invention discloses a method and a system for evaluating talent growth, wherein the method comprises the steps of constructing a talent growth evaluation index library; performing standardization treatment on talent assessment indexes to obtain standard indexes; measuring the information quantity of the standard index, calculating index weight based on the information quantity of the standard index, and arranging the numerical values of the index weight in sequence to obtain a weight sequence of the standard index; and calculating to obtain talent assessment results based on the important indexes and the talent growth assessment model. According to the talent growth evaluation method, a talent growth evaluation index library is constructed through talent evaluation indexes input by an evaluation user, talent evaluation index data of target personnel are processed based on the talent growth evaluation index library, a talent evaluation result is obtained through calculation by utilizing a talent growth evaluation model, whether the target personnel meet talent growth evaluation requirements is judged through the evaluation result, multi-index evaluation is carried out on the target personnel in the talent growth process, and the evaluation result is objective and scientific.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present disclosure describes embodiments, not every embodiment is provided with a separate embodiment, and that this description is provided for clarity only, and that the disclosure is not limited to the embodiments described in detail below, and that the embodiments described in the examples may be combined as appropriate to form other embodiments that will be apparent to those skilled in the art.
Claims (10)
1. A method of assessing talent growth comprising the steps of:
s10, constructing a talent growth evaluation index library, wherein the index library comprises a plurality of preset talent evaluation indexes;
s20, acquiring talent assessment indexes of target personnel, and performing standardized processing on the talent assessment indexes to obtain standard indexes;
s30, measuring the information quantity of the standard index, calculating index weight based on the information quantity of the standard index, and sequentially arranging the numerical values of the index weight to obtain a weight sequence of the standard index;
s40, selecting a plurality of important indexes from the weight sequence according to a preset threshold, constructing a talent growth assessment model, and calculating to obtain talent assessment results based on the important indexes and the talent growth assessment model.
2. The method of assessing talent growth of claim 1, wherein the talent assessment indicators include academic information, employment experiences, skill levels, communication capabilities, management capabilities, administrative capabilities, interpersonal relationships, impact, health information, and the like.
3. The method of assessing talent growth of claim 1, wherein the method of normalizing the talent assessment index comprises the steps of:
s21, forward processing is carried out on talent assessment indexes to obtain forward indexes;
s22, carrying out standardization processing on the forward index according to a standardization formula to obtain a standard index, wherein the standardization formula is as follows:
wherein x is i Representing the ith normalized talent assessment index, i.e. the ith forward normalization index;
representing the ith standard index; n represents the number of forward indices.
4. The method for evaluating talent growth according to claim 1, wherein the method for measuring the information amount of the standard index and calculating the index weight based on the information amount of the standard index comprises the steps of:
s31, obtaining a correlation coefficient of a standard index;
s32, measuring the information quantity of the standard index according to the correlation coefficient of the standard index;
s33, calculating index weight according to the information quantity of the standard index.
5. The method for assessing talent growth of claim 4, wherein the correlation coefficient of the criteria index is calculated as:
wherein, xi ij Representing the correlation coefficient of the ith index and the jth index, and xi ij A closer to 1 indicates a greater degree of correlation between the two indices; x is x i Represents the i-th standard index x; y is j Represents the j-th standard index y.
6. The method of assessing talent growth of claim 5, wherein the information content of the criteria is measured using the formula:
wherein, C represents the information quantity measurement value of the index, and the larger the value of C is, the larger the information quantity contained is; sigma (sigma) ij Indicating index x i And y j Mean square error of (a); 1-zeta ij Indicating index x i And y j Conflict between them.
7. The method of assessing talent growth of claim 6, wherein the standard index weight is calculated according to the formula:
wherein W represents an index weight; c (C) k An information quantity measurement value representing a kth index; m represents the number of indices used to calculate the index weight.
8. The method for assessing talent growth according to claim 1, wherein in step S40, the method for selecting a plurality of important indicators from the weight sequence according to a predetermined threshold value comprises the steps of:
step one, setting a preset threshold value;
and step two, comparing the preset threshold value with index weight values in the weight sequence to obtain index weights with weight values larger than the preset threshold value, wherein the index weights are important indexes.
9. The method for evaluating talent growth according to claim 8, wherein in step S40, the calculation method of talent evaluation results comprises the steps of:
s41, constructing a talent growth evaluation model, wherein the talent growth evaluation model is as follows:
B＝A·R
wherein B represents talent evaluation results, A represents a weight vector matrix of important indexes, R represents a rank fuzzy comprehensive evaluation matrix,
r ij represents the membership degree of the important index set U with respect to the judgment level V, and U= { U 1 ，u 2 ，...，u m }，V＝{v 1 ，v 2 ，...，v n Judging each important index in the U according to the grade index in the judging grade V to obtain a grade fuzzy comprehensive evaluation matrix R;
s42, establishing an important index set based on a plurality of important indexes, grading each important index in the important index set, establishing a judgment grade, and inputting the important index set and the judgment grade into a talent growth evaluation model to obtain an evaluation result;
s43, judging whether the target personnel meets talent growth evaluation requirements or not based on the evaluation result.
10. A system for assessing talent growth, comprising:
the talent growth evaluation index library comprises a plurality of preset talent evaluation indexes;
the index acquisition module is used for acquiring talent assessment indexes of target personnel; the talent evaluation index is also used for carrying out standardized processing on the talent evaluation index to obtain a standard index;
the data processing module is used for measuring the information quantity of the standard index, calculating the index weight based on the information quantity of the standard index, and arranging the numerical values of the index weights in sequence to obtain a weight sequence of the standard index;
and the talent evaluation module is used for selecting a plurality of important indexes from the weight sequence according to a preset threshold value, constructing a talent growth evaluation model, and calculating to obtain talent evaluation results based on the important indexes and the talent growth evaluation model.
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