CN114066226A - Human resource management system platform based on cloud computing - Google Patents

Human resource management system platform based on cloud computing Download PDF

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CN114066226A
CN114066226A CN202111346812.8A CN202111346812A CN114066226A CN 114066226 A CN114066226 A CN 114066226A CN 202111346812 A CN202111346812 A CN 202111346812A CN 114066226 A CN114066226 A CN 114066226A
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吴琦
孙佳伟
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Ningxia Zhongzhi Haohuo Network Technology Co ltd
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Abstract

The invention discloses a cloud computing-based human resource management system platform, which belongs to the technical field of human resource management and comprises a human resource planning unit, a personnel management unit and a human resource evaluation unit, wherein the human resource evaluation unit is mainly used for carrying out evaluation management in a manner of carrying out performance evaluation on talents and feeding back evaluation results in real time, the evaluation mode is mainly a hierarchical analysis mode, a target layer, a criterion layer and a scheme layer are constructed, and indexes in the target layer, the criterion layer and the scheme layer are respectively subjected to weighted calculation to obtain the talent evaluation results. The human resource management system can obtain the comprehensive evaluation result of the talents by adopting a weighting calculation mode, has strong fairness of results, is convenient for enterprises to adjust and manage the talents in real time according to needs, and has strong practicability.

Description

Human resource management system platform based on cloud computing
Technical Field
The invention belongs to the technical field of human resource management, and particularly relates to a human resource management system platform based on cloud computing.
Background
At present, China is in the transition period from the traditional management mode to human resource management, and the management method in enterprises is changed greatly from thought to action or from theory to reality, so that a human resource management system is produced by taking the measures of human resources, mainly provides technical support for human talent management and human evaluation of the enterprises, promotes the management efficiency of the human talents of the enterprises, and realizes the major strategic targets of the enterprises.
In the prior art, the human resource management system comprises systems such as human resource planning and personnel file management, and the system can effectively implement recruitment, file storage for employees of a company, and the like, but the human resource management system has the following defects in the using process:
because the talents of the enterprise are still scored and subjectively judged when the performance of the talents is assessed in the prior art, the subjectivity is strong, a unified quantification standard is not available for assessing the talents, the result of the talents after the assessment is not accurate, negative emotion is easily generated on the talents, even the condition of talent loss occurs, and the self development of the enterprise is not facilitated.
Disclosure of Invention
This section is for the purpose of summarizing some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. In this section, as well as in the abstract and the title of the invention of this application, simplifications or omissions may be made to avoid obscuring the purpose of the section, the abstract and the title, and such simplifications or omissions are not intended to limit the scope of the invention.
The present invention has been made in view of the above problems of the human resources management system.
Therefore, one of the objectives of the present invention is to provide a cloud computing-based human resource management system platform.
In order to solve the above problems, the present invention adopts the following technical solutions.
A human resource management system platform based on cloud computing, a human resource planning unit, a personnel management unit and a human resource evaluation unit,
the method is characterized in that:
the human resource evaluation unit mainly adopts a mode of performing performance evaluation on talents to perform evaluation management and feed back evaluation results in real time, and the evaluation mode mainly adopts a hierarchical analysis mode to construct a target layer, a criterion layer and a scheme layer and perform weighted calculation on indexes in the target layer, the criterion layer and the scheme layer respectively to obtain the talent evaluation results.
Preferably, the hierarchical analysis method comprises the following specific steps:
s1, establishing a hierarchical structure model; the method mainly aims at comprehensively and systematically analyzing a constructed model, learning a decision target and preliminarily analyzing the target, making a criterion of an evaluation scheme according to the preliminarily evaluated target, wherein the criterion is a measure and a scheme adopted for realizing the target, and the model is constructed according to a target layer, a criterion layer and a scheme layer during construction.
S2, constructing a judgment matrix; and the step of constructing the judgment matrix is to determine the weight of each index in the scheme layer, determine the factors according to the requirement of the criterion layer, and compare every two factors to form the judgment matrix.
S3, sorting the hierarchical list; the factors determined according to the criterion layer are sorted according to the magnitude of the importance, and the sorting is based on the calculation result of the judgment matrix in the above step S2.
S4, total hierarchical sorting; the total hierarchical ranking is to perform comprehensive ranking according to relevant factors, perform comprehensive evaluation on talents according to ranking results and a calculation mode, and display the evaluation results in a score mode.
Preferably, in step S2, the form of the judgment matrix is as follows:
Figure BDA0003354468990000021
in the formula, bii1, and
Figure BDA0003354468990000022
preferably, in step S2, it is determined that normalization processing is required after the matrix is constructed, and the normalization processing formula is as follows:
Figure BDA0003354468990000031
preferably, after the matrix normalization is judged, summation needs to be performed, and the summation formula is as follows:
Figure BDA0003354468990000032
Figure BDA0003354468990000033
Figure BDA0003354468990000035
Figure BDA0003354468990000034
preferably, the comprehensive evaluation score of the human resource evaluation unit after human resource evaluation is obtained according to a linear weighting method, and the specific calculation formula is as follows:
F＝100×∑wi×f(xij)
in the formula, F represents the comprehensive evaluation score of the human resources evaluation unit after evaluation; w is aiThe weight value of the ith index in the total hierarchical ranking is shown in table 6; f (x)ij) Indicating the number of scores for the jth index in the ith level.
Preferably, the human resource management system comprises a human resource planning unit and a personnel management unit;
the human resource planning unit forms a human resource planning file when recruiting talents and publishes the human resource planning file to the social public in real time;
the personnel management unit is used for filing personnel in the enterprise, recording and updating personnel files of the personnel in real time.
Preferably, the platform further comprises an SQL Azure cloud database, and the data in the SQL Azure cloud database comprises a human resource management worksheet.
Preferably, the SQL Azure cloud database is constructed according to the SQL Server database, and the specific construction steps are as follows:
and logging in an SQL Azure portal in a webpage, clicking a project name in an appearing interface, clicking an 'I accept' button, starting using the SQL Azure database, inputting a user name and a password in a next appearing creation server page, selecting an address according to actual conditions, and clicking a creation server button, so that the creation of the SQL Azure cloud database is realized.
Preferably, the data in the SQL Server cloud database is obtained by migrating the data in the SQL Server into the SQL Azure cloud database, and the specific migration manner is as follows:
and converting the data in the SQL Server database into a script, selecting the HR database, executing the database script, and realizing the data migration to the SQL Azure cloud database.
Advantageous effects
Compared with the prior art, the invention has the beneficial effects that:
(1) the human resource management system platform comprises a human resource evaluation unit which is used for comprehensively evaluating the talents in a hierarchical analysis mode, and the main realization mode is mainly to construct a hierarchical model of a target layer, a criterion layer and a scheme layer, and the comprehensive evaluation score of the talents can be calculated by giving weights to indexes of the target layer, the criterion layer and the scheme layer and adopting a weighted calculation mode, so that the talents of an enterprise can be conveniently evaluated, and the enterprise can conveniently adjust posts and adjust responsibilities according to needs.
(2) The management system platform also comprises SQL Azure cloud data, the data in the SQL Azure cloud data can be supplemented in real time through the data in the SQL Server database, and talent recruitment, management and evaluation work is realized through a cloud computing mode, so that the system platform is high in working efficiency, and the evaluation result is high in fairness, and is convenient for a human resource management department to use.
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FIG. 1 is a schematic block diagram of a human resources management system according to the present invention;
FIG. 2 is a flow chart of the invention for constructing an SQL Azure cloud database;
FIG. 3 is a block diagram of the human resources management system of the present invention;
FIG. 4 is a schematic block diagram of a human resource assessment unit according to the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described and will be readily apparent to those of ordinary skill in the art without departing from the spirit of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
Furthermore, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
Example 1
As shown in fig. 1, the human resource management system platform of this embodiment includes a human resource management system and a cloud database, where the cloud database in this embodiment includes but is not limited to an SQL Azure cloud database, and mainly implements talent management by means of cloud computing, thereby facilitating enterprise employment and talent management operations.
As shown in fig. 2, in this embodiment, the SQL Azure cloud database is constructed as follows:
and logging in an SQL Azure portal in a webpage, clicking a project name in an appearing interface, clicking an 'I accept' button, starting using the SQL Azure database, inputting a user name and a password in a next appearing creation server page, selecting an address according to actual conditions, and clicking a creation server button, so that the creation of the SQL Azure cloud database is realized.
It is worth noting that the capacity of the created SQL Azure cloud database is selectable, preferably 1GB, and there is no data in the created SQL Azure cloud database, and the data in the SQL Server needs to be migrated into the SQL Azure cloud database, and the specific implementation manner is as follows:
in this embodiment, the data in the SQL Azure cloud database includes a human resource management worksheet, and it is noted that the human resource management worksheet includes but is not limited to: code management tables, human resources information tables, system maintenance tables, attendance management worksheets, and the like.
In this embodiment, the human resource management system and the SQL Azure cloud database are in signal connection through the central processing unit, and the central processing unit may call the human resource management worksheet in the SQL Azure cloud database according to the instructions and perform operations according to the logical operation relationship, thereby implementing the management operation of the cloud computing on the talents of the enterprise.
As shown in fig. 3, in this embodiment, the human resource management system includes a human resource planning unit, a personnel management unit, and a human resource evaluation unit, and the recruitment, management, and evaluation operations are implemented by the human resource planning unit, the personnel management unit, and the human resource evaluation unit, so as to meet the development needs of the enterprise on one hand, and perform standardized management and evaluation on the absorbed talents on the other hand, thereby providing a better platform for determining duty for talents, helping the outstanding talents realize their own values, and meeting the development needs of the enterprise.
In the embodiment, the human resource planning unit forms a human resource planning file when recruiting talents and publishes the human resource planning file to the social public in real time to realize talent absorption, and the human resource planning file is modified in real time according to the actual conditions of the enterprise, so that the enterprise is helped to accurately find the target talents, and the recruitment effect of talents is improved.
The personnel management unit is used for performing file standardized management on the talents after the talents are absorbed into the enterprise by the human resource planning unit, the personnel management unit is used for filing the talents in the enterprise, recording and updating personnel files of the talents in real time, and the enterprise can conveniently master the development conditions of the talents in the enterprise in real time.
The human resource evaluation unit mainly adopts a mode of performing performance evaluation on talents to perform evaluation management, and feeds back evaluation results to personnel archive files in real time, so that the talents can be effectively adjusted in time when an enterprise makes a duty, even if priority and depreciation screening is performed, and the talents can meet the requirements of self development of the enterprise.
As shown in fig. 4, in this embodiment, the talent evaluation unit evaluates talents in a hierarchical analysis manner, which specifically includes the following steps:
s1, establishing a hierarchical structure model; the method mainly aims at comprehensively and systematically analyzing a constructed model, learning a decision target and preliminarily analyzing the target, and making a criterion of an evaluation scheme according to the preliminarily evaluated target, wherein the criterion is a measure and a scheme adopted for realizing the target.
S2, constructing a judgment matrix; and the step of constructing the judgment matrix is to determine the weight of each index in the scheme layer, determine the factors according to the requirement of the criterion layer, and compare every two factors to form the judgment matrix.
S3, sorting the hierarchical list; and (4) determining the factors according to the criterion layer and sorting the factors according to the importance, wherein the sorting is based on the calculation result of the judgment matrix in the step S2, and it is noted that the hierarchical single sorting is sorting according to the size of the factor weight index, and the factor weight index is the eigenvector and the feature root of the judgment matrix.
S4, total hierarchical sorting; the total hierarchical ranking is to perform comprehensive ranking according to relevant factors, perform comprehensive evaluation on talents according to ranking results and a calculation mode, and display evaluation results in a score mode, so that the evaluation work of talents is realized.
In this embodiment, the establishment of the hierarchical structure model requires quantitative analysis of the evaluation of talents of an enterprise, and then the importance of each index in the criterion layer, the talent evaluation in this embodiment is the highest layer, i.e., the target layer in this embodiment, the criterion layer in this embodiment employs 3 indexes of job performance, job ability, and job attitude of talents, and the scheme layer in this embodiment employs 10 indexes of job quality, job efficiency, job number, personal ability, team cooperation, professional knowledge, responsibility, career, discipline, and attendance rate of talents, thereby completing the establishment of the hierarchical structure model, and the establishment result is shown in fig. 4.
It is worth noting that the scale used in the hierarchical analysis in this embodiment is 1-9, and the specific scale is shown in table 1.
TABLE 1 meanings of the scale
Figure BDA0003354468990000081
Note that: c. CijRefers to the value if the ratio of the importance of element i to element j; c. CjiWorth being the value of the ratio of the importance of element j to element i, i.e. cijThe reciprocal of (c).
In this embodiment, the criterion layer performs weight sorting by using the work performance, the work ability, and the work attitude of the talent, and the work performance and the work ability are slightly more important and are therefore assigned to 3, and the work performance is more important than the work attitude and is therefore assigned to 4, and the work ability is equivalent to the importance of the work attitude but not less than the importance of the work attitude and is therefore assigned to 3/2, so that a judgment matrix is constructed according to the hierarchical structure model in fig. 4, where the matrix is as follows:
Figure BDA0003354468990000082
it is noted that, in the above formula 1, bii1, and
Figure BDA0003354468990000083
the above formula can carry out consistency verification by a product approximation algorithm, and the verification method comprises the following steps:
s21, determining the normalization of each column of the matrix, and calculating according to the above formula 1:
Figure BDA0003354468990000084
b is calculated by the same method11，b12，b13...b31，b32，b33Thus, a normalized matrix is obtained
Figure BDA0003354468990000091
S22, matrix normalized according to the above
Figure BDA0003354468990000098
Summing to obtain:
Figure BDA0003354468990000092
s23, obtained according to the step S22Is/are as follows
Figure BDA0003354468990000093
Normalization is performed to obtain the required feature vector (W)1，W2，W3)T＝(0.630，0.219,0.152)TAnd maximum characteristic root λmax＝3.001。
Thus, the results of the criterion layer-by-layer single ordering are shown in table 2;
TABLE 2 criterion layer by layer single ordering results
Figure BDA0003354468990000094
In this embodiment, the performance of the work in the solution layer is weighted and sorted by using the work quality, the work efficiency, and the work quantity, where the work quality is slightly more important than the work efficiency, and therefore the assignment is 2, and the work quality is much more important than the work quantity, and therefore the assignment is 4, and the work efficiency is slightly more important than the work, and therefore the assignment is 2, and therefore, according to the hierarchical structure model in fig. 4, a judgment matrix is constructed, and the matrix form is as follows:
Figure BDA0003354468990000095
it is noted that, in the above formula 1, bii1, and
Figure BDA0003354468990000096
the above formula can carry out consistency verification by a product approximation algorithm, and the verification method comprises the following steps:
s21, determining the normalization of each column of the matrix, and calculating according to the above formula 2:
Figure BDA0003354468990000097
b is calculated by the same method11，b12，b13...b31，b32，b33Thus, a normalized matrix is obtained
Figure BDA0003354468990000101
S22, matrix normalized according to the above
Figure BDA0003354468990000102
Summing to obtain:
Figure BDA0003354468990000103
s23, according to the result obtained in the step S22
Figure BDA0003354468990000104
Normalization is performed to obtain the required feature vector (W)1，W2，W3)T＝(0.571，0.286,0.143)TAnd maximum characteristic root λmax＝3.000。
Therefore, the results of the work performance in the project level are shown in table 3, with the hierarchy and the sequence;
TABLE 3 scheme layer work performance hierarchy sheet sorting results
Figure BDA0003354468990000105
In this embodiment, the working capacity in the solution layer is weighted and ranked by using personal ability, team cooperation and professional knowledge, where the personal ability is slightly more important than the team cooperation and thus assigned a value of 2, the personal ability is slightly more important than the professional knowledge and thus assigned a value of 3, and the team cooperation is more important than the professional knowledge and thus assigned a value of 6. Therefore, according to the hierarchical model in fig. 4, a judgment matrix is constructed, the matrix form is as follows:
Figure BDA0003354468990000106
it is noted that, in the above formula 1, bii1, and
Figure BDA0003354468990000107
the above formula can carry out consistency verification by a product approximation algorithm, and the verification method comprises the following steps:
s21, determining the normalization of each column of the matrix, and calculating according to the above equation 3:
Figure BDA0003354468990000108
b is calculated by the same method11，b12，b13...b31，b32，b33Thus, a normalized matrix is obtained
Figure BDA0003354468990000111
S22, matrix normalized according to the above
Figure BDA0003354468990000112
Summing to obtain:
Figure BDA0003354468990000113
s23, according to the result obtained in the step S22
Figure BDA0003354468990000114
Normalization is performed to obtain the required feature vector (W)1，W2，W3)T＝(0.492，0.396,0.112)TAnd maximum characteristic root λmax3.002. Therefore, the results of the hierarchy of the working capacity in the solution layer but the sorting are shown in table 4;
TABLE 4 work capability level List ordering results in scheme layer
Figure BDA0003354468990000115
In this embodiment, the job status in the scheme layer is weighted and ranked by discipline, responsibility, attendance and cause, wherein discipline is slightly more important than responsibility, and therefore is assigned to 2, discipline is slightly more important than attendance, and therefore is assigned to 2, discipline is more important than cause, and is assigned to 5, and responsibility is slightly more important than attendance, and therefore is assigned to 2, responsibility is more important than cause, and is assigned to 4, and attendance is of equal importance to cause, but not less important than cause, and therefore is assigned to 0.151. Therefore, according to the hierarchical model in fig. 4, a judgment matrix is constructed, the matrix form is as follows:
Figure BDA0003354468990000116
it is noted that, in the above formula 1, bii1, and
Figure BDA0003354468990000117
the above formula can carry out consistency verification by a product approximation algorithm, and the verification method comprises the following steps:
s21, determining the normalization of each column of the matrix, and calculating according to the above equation 4:
Figure BDA0003354468990000121
b is calculated by the same method11，b12，b13...b31，b32，b33Thus, a normalized matrix is obtained
Figure BDA0003354468990000122
S22, matrix normalized according to the above
Figure BDA0003354468990000123
Summing to obtain:
Figure BDA0003354468990000124
s23, according to the result obtained in the step S22
Figure BDA0003354468990000125
Normalization is performed to obtain the required feature vector (W)1，W2，W3，W4)T＝(0.495，0.304,0.116,0.085)TAnd maximum characteristic root λmax4.002. Thus, the results of the hierarchy of the work capacity in the solution level but the ordering are shown in table 5;
table 5 operation attitude level list sorting results in scheme layer
Figure BDA0003354468990000126
According to the weights in tables 3-4, the total sequence of all the indexes in the hierarchical structure is obtained by combining the weights of the work performance, the work capacity and the work attitude in table 2, namely the total sequence of the scheme layer is shown in table 6;
table 6 general arrangement table
Figure BDA0003354468990000127
According to the linear weighting method, the comprehensive evaluation score of the human resource evaluation unit after human resource evaluation can be obtained, and the specific calculation formula is as follows:
F＝100×∑wi×f(xij) (formula 5)
In the formula, F represents the comprehensive evaluation score of the human resources evaluation unit after evaluation; w is aiTo representThe weight value of the ith index in the total hierarchical ranking is shown in table 6; f (x)ij) Indicating the number of scores for the jth index in the ith level.
Just can carry out the comprehensive evaluation to the talent through the mode of the mark of above-mentioned table 6 and each index and weighted calculation, the evaluation result shows with the score form to make things convenient for the enterprise to carry out manpower resources evaluation to the talent from all-round, ensured the fairness of evaluation result on the one hand, on the other hand also makes things convenient for the enterprise to carry out the adjustment of making a post to the talent as required, makes things convenient for the position adjustment, in order to satisfy enterprise self development demand.
While the invention has been described in further detail in connection with specific embodiments thereof, it will be understood that the invention is not limited thereto, and that various other modifications and substitutions may be made by those skilled in the art without departing from the spirit of the invention, which should be considered to be within the scope of the invention as defined by the appended claims.

Claims (10)

1. A human resource management system platform based on cloud computing, a human resource planning unit, a personnel management unit and a human resource evaluation unit,
the method is characterized in that:
the human resource evaluation unit mainly adopts a mode of performing performance evaluation on talents to perform evaluation management and feed back evaluation results in real time, and the evaluation mode mainly adopts a hierarchical analysis mode to construct a target layer, a criterion layer and a scheme layer and perform weighted calculation on indexes in the target layer, the criterion layer and the scheme layer respectively to obtain the talent evaluation results.
2. The cloud computing-based human resource management system platform of claim 1, wherein: the hierarchical analysis mode comprises the following specific steps:
s1, establishing a hierarchical structure model; the method mainly aims at comprehensively and systematically analyzing a constructed model, learning a decision target and preliminarily analyzing the target, making a criterion of an evaluation scheme according to the preliminarily evaluated target, wherein the criterion is a measure and a scheme adopted for realizing the target, and the model is constructed according to a target layer, a criterion layer and a scheme layer during construction.
S2, constructing a judgment matrix; and the step of constructing the judgment matrix is to determine the weight of each index in the scheme layer, determine the factors according to the requirement of the criterion layer, and compare every two factors to form the judgment matrix.
S3, sorting the hierarchical list; the factors determined according to the criterion layer are sorted according to the magnitude of the importance, and the sorting is based on the calculation result of the judgment matrix in the above step S2.
S4, total hierarchical sorting; the total hierarchical ranking is to perform comprehensive ranking according to relevant factors, perform comprehensive evaluation on talents according to ranking results and a calculation mode, and display the evaluation results in a score mode.
3. The cloud computing-based human resource management system platform of claim 2, wherein: in step S2, the form of the determination matrix is as follows:
Figure FDA0003354468980000011
in the formula, bii1, and
Figure FDA0003354468980000012
4. the cloud computing-based human resource management system platform of claim 1, wherein: in step S2, it is determined that normalization processing is required after the matrix is constructed, and a normalization processing formula is as follows:
Figure FDA0003354468980000021
5. the cloud computing-based human resource management system platform of claim 4, wherein: summing is needed after matrix normalization processing is judged, and a summing formula is as follows:
Figure FDA0003354468980000022
Figure FDA0003354468980000023
Figure FDA0003354468980000024
Figure FDA0003354468980000025
6. the cloud computing-based human resource management system platform of claim 5, wherein: obtaining the comprehensive evaluation score of the human resource evaluation unit after human talent evaluation according to a linear weighting method, wherein the specific calculation formula is as follows:
F＝100×∑wi×f(xij)
in the formula, F represents the comprehensive evaluation score of the human resources evaluation unit after evaluation; w is aiThe weight value of the ith index in the total hierarchical ranking is shown in table 6; f (x)ij) Indicating the number of scores for the jth index in the ith level.
7. The cloud computing-based human resource management system platform according to any one of claims 1-6, wherein: the human resource management system comprises a human resource planning unit and a personnel management unit;
the human resource planning unit forms a human resource planning file when recruiting talents and publishes the human resource planning file to the social public in real time;
the personnel management unit is used for filing personnel in the enterprise, recording and updating personnel files of the personnel in real time.
8. The cloud computing-based human resource management system platform of claim 7, wherein: the system further comprises an SQL Azure cloud database, and data in the SQL Azure cloud database comprises a human resource management working table.
9. The cloud computing-based human resource management system platform of claim 8, wherein: the SQL Azure cloud database is constructed according to an SQL Server database, and the specific construction steps are as follows:
and logging in an SQL Azure portal in a webpage, clicking a project name in an appearing interface, clicking an 'I accept' button, starting using the SQL Azure database, inputting a user name and a password in a next appearing creation server page, selecting an address according to actual conditions, and clicking a creation server button, so that the creation of the SQL Azure cloud database is realized.
10. The cloud computing-based human resource management system platform of claim 9, wherein: the data in the SQL Server cloud database is obtained by transferring the data in the SQL Server into the SQL Azure cloud database, and the specific transfer mode is as follows:
and converting the data in the SQL Server database into a script, selecting the HR database, executing the database script, and realizing the data migration to the SQL Azure cloud database.
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* Cited by examiner, † Cited by third party
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