CN114881547A - Team performance evaluation method and device for Internet projects - Google Patents
Team performance evaluation method and device for Internet projects Download PDFInfo
- Publication number
- CN114881547A CN114881547A CN202210810121.7A CN202210810121A CN114881547A CN 114881547 A CN114881547 A CN 114881547A CN 202210810121 A CN202210810121 A CN 202210810121A CN 114881547 A CN114881547 A CN 114881547A
- Authority
- CN
- China
- Prior art keywords
- project
- parameter
- value
- team
- personnel
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/02—Knowledge representation; Symbolic representation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06395—Quality analysis or management
Abstract
The invention provides a team performance evaluation method and device for an internet project, and relates to the technical field of electronic commerce management. In the method, the Internet-based project is divided into the project nodes, the project teams corresponding to the project nodes are subjected to performance assessment, the importance of each project node and the individual performance of all members of each project team are combined to perform weighted calculation, and the weighted calculation is used as an index of team performance assessment, so that the requirement of large-scale team management can be met, the objectivity of the finally assessed performance result is excellent, and the assessment result is more in line with the actual situation.
Description
Technical Field
The invention relates to the technical field of electronic commerce management, in particular to a team performance evaluation method and device for an internet project.
Background
Along with the increasingly deepened progress of the world economy integration, the same task can be better completed based on the synergistic effect among every person in the team, the effect of every person is exerted to the maximum degree, and the maximum efficiency of the team is achieved. However, the treatment and internal control of a team, team merger and recombination, and team transformation and growth ways improve team competitiveness, which do not fully reflect the extreme importance of scientific evaluation of team members and performance of the team members. The performance evaluation guides and stimulates the action of the team members to tend to the organizational target on one hand, and provides decision-making information and data for team management practice on the other hand, so that the work performance and the work enthusiasm of the team members are improved, and meanwhile, a basis is provided for fairly and reasonably rewarding the staff.
However, performance assessment at the present stage is usually performed by interview or manual filling, which requires a manager to count and analyze a large amount of data, and with the continuous expansion of team scale, the method is far from meeting the requirement of team management. In addition, the performance assessment mode depends on artificial scoring, so that the subjective factors are large, and the final assessment performance result is not objective.
Disclosure of Invention
The invention aims to provide a team performance evaluation method and device for an internet project, so as to improve the problems. In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
in a first aspect, the present application provides a team performance assessment method for an internet project, including:
acquiring a project relation map, wherein the project relation map is a workflow formed by sequentially connecting project teams at each stage in an internet project, each project team corresponds to an organization data set, and each organization data in each organization data set comprises performance evaluation information of all personnel in an organization;
determining a first weight value corresponding to each project team based on the project relation map;
calculating based on the first weight value of each project team and performance evaluation information of the personnel to obtain a performance score corresponding to each project team;
based on the project relation map, summing the performance scores corresponding to all the project teams to obtain team performance scores;
and performing performance evaluation on the team of the Internet project based on the team performance score.
In a second aspect, the present application further provides a team performance evaluation device for internet projects, including an acquisition module, a setting module, a first calculation module, a second calculation module and an evaluation module, wherein:
an acquisition module: the system comprises a project relation map, a project organization data set and a project organization data set, wherein the project relation map is a workflow formed by sequentially connecting project teams at each stage in an Internet project, each project team corresponds to one organization data set, and each organization data in each organization data set comprises performance evaluation information of all personnel in an organization;
setting a module: the project relation graph is used for determining a first weight value corresponding to each project team;
a first calculation module: the system is used for calculating based on the first weight value of each project team and the performance evaluation information of the personnel to obtain a performance score corresponding to each project team;
a second calculation module: the system is used for summing and calculating the performance scores corresponding to all the project teams based on the project relation maps to obtain team performance scores;
an evaluation module: for performing performance assessment on a team of internet projects based on the team performance score.
The beneficial effects of the invention are as follows:
according to the method and the system, the Internet-based project is divided into the project nodes, performance assessment is performed on the project team corresponding to each project node, weighting calculation is performed by combining the importance of each project node and the individual performance of all members of each project team, the weighted calculation is used as an index of team performance assessment, the requirement of large-scale team management can be met, the objectivity of the finally assessed performance result is excellent, and the assessed result is more in line with the actual situation.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the embodiments of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, 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 invention 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 schematic flow chart illustrating a team performance assessment method for an Internet project according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a team performance assessment device for Internet projects according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a team performance evaluation device for internet projects according to an embodiment of the present invention.
In the figure: 700. constructing a module; 701. a first screening unit; 702. a first building element; 703. a scale unit; 704. a fifth processing unit; 705. a sixth processing unit; 706. a second screening unit; 707. a second building element; 708. a third building element; 710. an acquisition module; 711. a first acquisition unit; 7111. a second acquisition unit; 7112. a second processing unit; 7113. a third processing unit; 7114. a fourth processing unit; 712. a judgment unit; 713. a first processing unit; 714. a fourth building element; 715. a fifth construction element; 716. a sixth building element; 717. a seventh processing unit; 718. a solving unit; 719. a distribution unit; 720. setting a module; 730. a first calculation module; 740. a second calculation module; 750. an evaluation module; 800. a team performance assessment device for an internet project; 801. a processor; 802. a memory; 803. a multimedia component; 804. an I/O interface; 805. a communication component.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without any inventive step, are within the scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present invention, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
Example 1:
referring to fig. 1, the present embodiment provides a team performance evaluation method for an internet project, and in fig. 1, the method includes step S1, step S2, step S3, step S4, and step S5, where:
step S1, acquiring a project relation map, wherein the project relation map is a workflow formed by sequentially connecting project teams at each stage in an Internet project, each project team corresponds to one organization data set, and each organization data in each organization data set comprises performance evaluation information of all personnel in an organization.
It can be understood that, in this step, the internet project is divided into a plurality of mutually related project nodes according to the internet project, and each project node constitutes a project team of each stage by a plurality of different persons, each person corresponds to one piece of performance evaluation information, the performance evaluation information may be a score obtained by traditional artificial scoring, or a score obtained based on an algorithm such as a balanced scorecard, and a project relationship map is formed based on the mutually related relationship among all the data.
In order to filter out factors with small influence degree on team performance evaluation, the dimensionality of the project relation map is reduced, and then the problems of complex decision making and evaluation are solved. The method of constructing the project relationship map in the present embodiment includes step S01, step S02, step S03, step S04, step S05, step S06, step S07, and step S08, in which:
and step S01, carrying out expert consultation by adopting a Delphi method, and determining an evaluation index by combining Internet project analysis.
It is understood that, in this step, the consulting questionnaire is set by means of literature research, expert personal interview, and the like, and the content of the consulting questionnaire includes project background, purpose, basis, technical route, technical index related to each technical route, and the like. And issuing a consultation questionnaire to a plurality of experts to perform expert consultation by adopting a Delphi method, and determining a plurality of evaluation indexes by combining some characteristics of the Internet projects.
And step S02, constructing a hierarchical structure model based on the evaluation index.
It is understood that, in this step, classification analysis is performed on all the evaluation indexes based on the internet items, and the classification analysis is divided into a three-layer hierarchical structure model of a target layer, a criterion layer and a scheme layer which are formed in the order from top to bottom. For example, the online quality detection project of the steel product, the target layer is the quality grade of the steel product, the standard layer is the technical scheme of each preparation stage of the steel product, and the scheme layer is the physical parameters and the mechanical parameters of the steel product.
And S03, based on the hierarchical structure model, comparing the evaluation indexes layer by using a nine-minute scale method, and constructing a judgment matrix.
It can be understood that, in this step, the evaluation indexes are compared pairwise layer by layer based on the hierarchical structure model to obtain a relationship of relative importance, each evaluation index is scored by using a nine-minute scale method, and a discrimination matrix is obtained after normalization processing, and the discrimination matrix is as shown in formula (1):
wherein: a is a judgment matrix;
the importance proportion scale of the evaluation index i and the evaluation index j of the current level to the previous level is obtained; i and j are different types of evaluation indexes respectively; and n is the dimension of the hierarchical structure model.
And step S04, respectively calculating eigenvectors and maximum eigenvalues based on the judgment matrix.
And step S05, calculating based on the maximum characteristic value to obtain a consistency index.
It is understood that, in this step, the index of the deviation consistency of the metric decision matrix is obtained based on the maximum eigenvalue and the formula (2), and the formula (2) is as follows:
wherein: r is a consistency index;
judging the maximum eigenvalue of the matrix; n is the order of the judgment matrix; e is the average random consistency index.
And step S06, performing descending order arrangement on the evaluation indexes of each level based on the feature vectors and the maximum feature values under the condition that the consistency indexes are met, and screening main indexes according to the number of preset indexes.
It can be understood that, in this step, when R <0.1, it indicates that the judgment matrix satisfies the consistency index, and indicates that the weight of the solution is reasonable. If not, redesigning the judgment matrix. And finally, solving the index weight by adopting a geometric average method, firstly, after the judgment matrix passes consistency check, solving the eigenvector corresponding to the maximum eigenvalue, and obtaining the corresponding value of each element in the normalized matrix as the weighted value of each evaluation index in the layer, performing descending order sorting based on the weighted value, and screening the main indexes according to the number of preset indexes.
And step S07, constructing a relation network based on the main indexes.
It can be understood that, in this step, a relationship network is constructed based on the weight values corresponding to the main indicators and the interrelation between the project nodes, that is, an association network diagram of the technical solution in the project is formed.
And step S08, establishing a one-to-one mapping relation based on the relation network and the project team, and constructing the project relation map.
It will be appreciated that in this step, each project node is provided with a corresponding project team based on the relationship network, forming a project relationship graph.
In order to exert the function of each member in the team and the cooperation between the members, the maximum efficiency of the team is realized. The construction method of the project team in the embodiment includes step S11, step S12, step S13, step S14, step S15 and step S16, wherein:
and step S11, determining all task roles required by each project team based on the relationship network, and constructing role requirement vectors.
It can be understood that, in this step, the number of team persons and positions required by each project node in the relationship network are determined according to the task of the project node, and a role requirement vector is constructed, where the role requirement vector in the project team pair corresponding to a certain project node in this embodiment is set to L = [ 121 ], and the corresponding positions are respectively a team leader, an experimenter, and an inspector.
And step S12, acquiring the job competence historical data of all candidates, and constructing a quality evaluation matrix.
It will be appreciated that in this step, job competency history data for all candidates is collected, and the data scores are based on the individual competency scores of each of the candidates, as shown in table 1:
watch (A)
Job competence history data
| Candidate person | Group leader | Laboratory technician | Inspector |
| A | 0.65 | 0.98 | 0.86 |
| B | 0.87 | 0.48 | 0.31 |
| C | 0.91 | 0.90 | 0.39 |
| D | 0.36 | 0.57 | 0.69 |
| E | 0.42 | 0.60 | 0.95 |
| F | 0.81 | 0.58 | 0.63 |
| G | 0.97 | 0.51 | 0.41 |
Constructing a quality evaluation matrix according to the position competence historical data of the candidate, wherein the quality evaluation matrix is
。
And step S13, constructing an initial distribution matrix based on the role requirement vector and the job competence historical data of all the candidates.
It will be appreciated that in this step, based on the role requirement vector and the job success history data of all of the candidates, different initial allocation matrices are constructed, such as one in which a set of initial allocation matrices is
。
And step S14, calling a KM algorithm to calculate based on the quality evaluation matrix and the initial distribution matrix to obtain a maximum effect value.
It can be understood that, in this step, the maximum efficiency value is calculated by using the KM algorithm based on the quality evaluation matrix and the initial allocation matrix, and is shown in formula (3):
wherein:
is the maximum efficacy value;
the candidate X is served with the quality value of the position Y, namely the element corresponding to the ith row and j column in the quality evaluation matrix;
indicating that position a is assigned candidate b, otherwise
Is zero, i.e.
Corresponding to the ith row and j column elements in the initial distribution matrix; m and N are the total number of rows and columns of the matrix, respectively.
And step S15, solving the initial distribution matrix based on the maximum efficiency value to obtain a final distribution matrix.
It can be understood that, in this step, the initial allocation matrix is solved based on the maximum efficiency value and the established quality evaluation matrix to obtain the final allocation matrix.
And step S16, confirming the component members of the project team based on the final distribution matrix.
It will be appreciated that in this step, it is confirmed from the final assignment matrix that each position is assumed by that candidate, confirming the constituent members of each project team.
In order to further refine the assessment of the individual performance assessment value, the method for acquiring the performance assessment information of each person in the present embodiment includes step S17, step S18, and step S19, in which:
and S17, acquiring a personnel value table and skill application weight parameters, wherein the personnel value table contains initial value parameters of all personnel in the last project construction, and the initial value parameters comprise personal value evaluation parameters and work efficiency evaluation parameters.
It can be understood that, in this step, the staff will evaluate their personal performance and record in the staff value table after completing the task each time, and take the richness and skill mastery degree of the personal knowledge base as the measurement indexes of the personal value evaluation parameters, and perform weighted calculation to obtain the personal value evaluation parameters; and taking the difference value between the actual working efficiency and the theoretical working efficiency as a measurement index of the working efficiency evaluation parameter, and scoring to obtain the working efficiency evaluation parameter. The skill application weight parameter is a work quality value for the worker to assume the current position.
The ability of each person to apply the learned skills to the actual scene is different, and the performance achievement of each person completing the same work is different. In order to better evaluate the performance of the individual, the method for determining the skill application weight parameter comprises steps S171, S172, S173 and S174, wherein:
s171, acquiring a first parameter, a second parameter and a third parameter of the personnel, wherein the first parameter is an evaluation value of satisfaction degree of others to the working quality of the personnel after the personnel complete construction of each project; the second parameter is a second weight value of the importance degree of the role played by the person in each project; the third parameter is a data set of all project constructions in which the person participates.
Step S172, calculating according to the first parameter and the second parameter to obtain a first skill value, wherein the first skill value is the product of the first parameter and the second parameter.
It can be understood that, in this step, the first parameter and the second parameter are respectively obtained according to the project of the last parameter of each person, and the product of the first parameter and the second parameter in the last project is calculated as the first skill value.
Step S173, calculating based on the third parameter and the first skill value to obtain a second skill value, where the second skill value is a sum of the first skill values corresponding to all the project teams in the third parameter.
It will be appreciated that multiplying the first and second parameters of the same project in which the person is engaged will result in a corresponding first skill value for each worker at each task. And then summing the first skill values corresponding to all projects based on all projects participated by the same worker to obtain a second skill value of the worker so as to reflect the historical accumulated skill value of the individual.
And S174, obtaining the skill application weight parameter based on the quotient of the first skill value and the second skill value.
It will be appreciated that in this step, the skills application weight parameter is calculated according to the root equation (4), equation (4) being as follows:
wherein:
applying a weight parameter for the skill;
and
respectively completing an evaluation value of the work quality satisfaction degree of the previous project and a second weight value of the role importance degree for each person; n is the order of each personnel parameter item; i is the total number of times of each personnel parameter item;
and
and respectively completing the evaluation value of the work quality satisfaction degree of the nth project and a second weighted value of the role importance degree for each person. The skill application capability of each person in different time periods can be evaluated in real time according to the skill application weight parameters, and the evaluation is flexible and accurate.
And step S18, judging whether the personnel currently participate in project construction, and if the personnel currently participate in the project construction, calculating based on the initial value parameters and the skill application weight parameters to obtain personnel value change parameters.
It can be understood that, in this step, the more items each person participates in, the more skilled and experienced each person has, and the more personal value of each person is, the value variation parameter of the person is calculated according to the formula (5), and the formula (5) is as follows:
wherein: t is Z A human value change parameter;
applying a weight parameter for the skill; r is a personal value evaluation parameter;
parameters are evaluated for operating efficiency.
And step S19, calculating based on the personnel value change parameters and the Newton attenuation coefficient to obtain the performance evaluation information of the personnel.
It is to be understood that, in this step, the performance evaluation value of the person is calculated according to the formula (6), and the formula (6) is as follows:
wherein the content of the first and second substances,
performance evaluation information of the corresponding personnel in the current project is provided for each personnel;
performance evaluation information of the corresponding personnel in the last project is provided for each personnel; e is a natural constant; c is Newton's attenuation coefficient; t is Z Is a human value variation parameter. The personal performance assessment value of each person is based on the accumulated value of the personal value and the skill application capability of each project as a measuring index, and the obtained result is more accurate and objective.
Step S2, determining a first weight value corresponding to each project team based on the project relation map.
It is understood that, in this step, a different first weight value may be set according to the importance of each phase item node. In other embodiments, a weight value corresponding to each main indicator in the project relationship map may be further constructed according to steps S01 to S08, a weight value of each project node is determined, and then a first weight value of a project team is set according to the weight value.
Step S3, calculating based on the first weight value of each project team and the performance evaluation information of the personnel to obtain the performance score corresponding to each project team.
It can be understood that, in this step, the performance evaluation information of all the members in each project team is summed to obtain a team performance total value, and then the product of the team performance total value and the first weight value is calculated to obtain a performance score corresponding to each project team.
And step S4, summing the performance scores corresponding to all the project teams based on the project relation maps to obtain team performance scores.
In this step, it is understood that the performance scores corresponding to all the project teams in the project relationship map are summed to obtain team performance scores.
And step S5, performing performance evaluation on the team of the Internet project based on the team performance score.
It can be appreciated that in this step, the team performance score is evaluated against a preset performance level to obtain the team performance level of the internet project.
Example 2:
fig. 2 is a schematic structural diagram of a team performance evaluation device for an internet project according to the present embodiment, which includes an obtaining module 710, a setting module 720, a first calculating module 730, a second calculating module 740, and an evaluating module 750, where:
the obtaining module 710: the system comprises a project relation map, a project team and an organization data set, wherein the project relation map is a workflow formed by sequentially connecting project teams at each stage in an Internet project, each project team corresponds to one organization data set, and each organization data in each organization data set comprises performance evaluation information of all personnel in an organization.
Preferably, the acquiring module 710 includes a first acquiring unit 711, a judging unit 712, and a first processing unit 713, wherein:
the first acquisition unit 711: the method is used for acquiring a personnel value table and skill application weight parameters, wherein the personnel value table contains initial value parameters of all personnel in the last project construction, and the initial value parameters comprise personal value evaluation parameters and working efficiency evaluation parameters.
The first acquisition unit 711 includes a second acquisition unit 7111, a second processing unit 7112, a third processing unit 7113, and a fourth processing unit 7114, in which:
second acquisition unit 7111: the system comprises a first parameter, a second parameter and a third parameter, wherein the first parameter, the second parameter and the third parameter are used for obtaining the first parameter, the second parameter and the third parameter of the personnel, and the first parameter is an evaluation value of the satisfaction degree of others on the working quality of the personnel after the personnel completes the construction of each project; the second parameter is a second weight value of the importance degree of the role played by the person in each project; the third parameter is a data set of all project constructions in which the person participates.
Second processing unit 7112: and the skill value calculation module is used for calculating a first skill value according to the first parameter and the second parameter, and the first skill value is the product of the first parameter and the second parameter.
Third processing unit 7113: and calculating a second skill value based on the third parameter and the first skill value, wherein the second skill value is the sum of the first skill values corresponding to all the project teams in the third parameter.
Fourth processing unit 7114: for deriving the skill application weight parameter based on a quotient of the first skill value and the second skill value.
The judging unit 712: and the system is used for judging whether the personnel participates in the construction of the current project or not, and if the personnel participates in the construction of the current project, calculating based on the initial value parameter and the skill application weight parameter to obtain a personnel value change parameter.
The first processing unit 713: and calculating based on the personnel value change parameter and the Newton attenuation coefficient to obtain the performance evaluation information of the personnel.
Further, the obtaining module 710 further includes a fourth constructing unit 714, a fifth constructing unit 715, a sixth constructing unit 716, a seventh processing unit 717, a solving unit 718, and an allocating unit 719, wherein:
the fourth construction unit 714: the system is used for determining all task roles required by each project team based on the relationship network and constructing role requirement vectors;
the fifth construction unit 715: the system is used for acquiring the job competence historical data of all candidates and constructing a quality evaluation matrix;
the sixth construction unit 716: constructing an initial allocation matrix based on the role requirement vector and the job competency history data of all the candidates;
the seventh processing unit 717: the KM algorithm is called for calculation based on the quality evaluation matrix and the initial distribution matrix to obtain a maximum effect value;
the solving unit 718: the initial distribution matrix is solved based on the maximum efficiency value to obtain a final distribution matrix;
the distributing unit 719: for identifying constituent members of the project team based on the final assignment matrix.
The setting module 720: the method is used for determining a first weight value corresponding to each project team based on the project relation map.
The first calculation module 730: and calculating to obtain a performance score corresponding to each project team based on the first weight value of each project team and the performance evaluation information of the personnel.
The second calculation module 740: and the performance scores corresponding to all the project teams are summed and calculated based on the project relation maps to obtain team performance scores.
The evaluation module 750: for performing performance assessment on a team of internet projects based on the team performance score.
Further, the team performance evaluation apparatus for internet projects further includes a construction module 700, and the construction module 700 includes a first screening unit 701, a first construction unit 702, a scaling unit 703, a fifth processing unit 704, a sixth processing unit 705, a second screening unit 706, a second construction unit 707, and a third construction unit 708, wherein:
first screening unit 701: the system is used for carrying out expert consultation by adopting a Delphi method and determining an evaluation index by combining Internet project analysis;
the first building unit 702: the hierarchical structure model is constructed based on the evaluation index;
scale unit 703: the evaluation index is used for comparing every two evaluation indexes layer by utilizing a nine-minute scale method based on the hierarchical structure model to construct a judgment matrix;
the fifth processing unit 704: respectively calculating eigenvectors and maximum eigenvalues based on the judgment matrix;
the sixth processing unit 705: calculating based on the maximum characteristic value to obtain a consistency index;
the second screening unit 706: the system is used for carrying out descending order arrangement on the evaluation indexes of each level based on the characteristic vector and the maximum characteristic value under the condition of meeting the consistency index, and screening main indexes according to the number of preset indexes;
the second building unit 707: for building a relationship network based on the primary metrics;
the third building unit 708: the project relation graph is constructed based on the one-to-one mapping relation established by the relation network and the project team.
It should be noted that, regarding the apparatus in the above embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated herein.
Example 3:
corresponding to the above method embodiments, the present embodiment further provides a team performance evaluation device 800 for an internet project, and the below-described team performance evaluation device 800 for an internet project and the above-described team performance evaluation method for an internet project may be referred to with respect to each other.
Fig. 3 is a block diagram illustrating a team performance assessment device 800 for an internet project, according to an example embodiment. As shown in fig. 3, the team performance evaluation device 800 for internet projects may include: a processor 801, a memory 802. The team performance evaluation device 800 for the internet project may also include one or more of a multimedia component 803, an I/O interface 804, and a communications component 805.
The processor 801 is configured to control the overall operation of the team performance evaluation device 800 for the internet project to complete all or part of the steps of the team performance evaluation method for the internet project. The memory 802 is used to store various types of data to support the operation of the team performance assessment device 800 on the internet project, which may include, for example, instructions for any application or method operating on the team performance assessment device 800 on the internet project, as well as application-related data, such as contact data, transceived messages, pictures, audio, video, and so forth. The Memory 802 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk or optical disk. The multimedia components 803 may include screen and audio components. Wherein the screen may be, for example, a touch screen and the audio component is used for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may further be stored in the memory 802 or transmitted through the communication component 805. The audio assembly also includes at least one speaker for outputting audio signals. The I/O interface 804 provides an interface between the processor 801 and other interface modules, such as a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 805 is used for wired or wireless communication between the team performance assessment device 800 and other devices for the internet project. Wireless communication, such as Wi-Fi, bluetooth, Near Field Communication (NFC), 2G, 3G, or 4G, or a combination of one or more of them, so that the corresponding communication component 805 may include: Wi-Fi module, bluetooth module, NFC module.
In an exemplary embodiment, the team performance evaluation Device 800 of the internet project may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components for performing the team performance evaluation method of the internet project.
In another exemplary embodiment, a computer storage medium is also provided that includes program instructions that, when executed by a processor, implement the steps of the above-described team performance assessment method for internet projects. For example, the computer storage medium may be the above-described memory 802 including program instructions executable by the processor 801 of the team performance evaluation device 800 of an internet project to perform the above-described team performance evaluation method of an internet project.
Example 4:
corresponding to the above method embodiment, a storage medium is also provided in this embodiment, and a storage medium described below and a team performance evaluation method for an internet project described above may be referred to in correspondence.
A storage medium having stored thereon a computer program which, when executed by a processor, carries out the steps of the team performance assessment method of an internet project of the above method embodiments.
The storage medium may be a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, an optical disk, or other storage media capable of storing program codes.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
The above description is only an embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of changes or substitutions within the technical scope of the present invention, and all such changes or substitutions are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A team performance assessment method for Internet projects, comprising:
acquiring a project relation map, wherein the project relation map is a workflow formed by sequentially connecting project teams at each stage in an internet project, each project team corresponds to an organization data set, and each organization data in each organization data set comprises performance evaluation information of all personnel in an organization;
determining a first weight value corresponding to each project team based on the project relation map;
calculating based on the first weight value of each project team and performance evaluation information of the personnel to obtain a performance score corresponding to each project team;
based on the project relation map, summing the performance scores corresponding to all the project teams to obtain team performance scores;
and performing performance evaluation on the team of the Internet project based on the team performance score.
2. The internet project team performance assessment method according to claim 1, wherein the method of obtaining performance assessment information of each of said persons comprises:
acquiring a personnel value table and skill application weight parameters, wherein the personnel value table contains initial value parameters of all personnel in the last project construction, and the initial value parameters comprise personal value evaluation parameters and working efficiency evaluation parameters;
judging whether the personnel participates in the construction of the current project, if so, calculating based on the initial value parameter and the skill application weight parameter to obtain a personnel value change parameter;
and calculating based on the personnel value change parameters and the Newton attenuation coefficient to obtain performance evaluation information of the personnel.
3. The internet project team performance assessment method according to claim 2, wherein said skill application weight parameter determination method comprises:
acquiring a first parameter, a second parameter and a third parameter of the personnel, wherein the first parameter is an evaluation value of satisfaction degree of others on the working quality of the personnel after the personnel complete construction of each project; the second parameter is a second weight value of the importance degree of the role played by the person in each project; the third parameter is a data set of all project constructions in which the personnel participate;
calculating according to the first parameter and the second parameter to obtain a first skill value, wherein the first skill value is the product of the first parameter and the second parameter;
calculating based on the third parameter and the first skill value to obtain a second skill value, wherein the second skill value is the sum of the first skill values corresponding to all the project teams in the third parameter;
and obtaining the skill application weight parameter based on the quotient of the first skill value and the second skill value.
4. The internet project team performance assessment method of claim 1, wherein said obtaining a project relationship map previously comprises:
carrying out expert consultation by adopting a Delphi method, and determining an evaluation index by combining internet project analysis;
constructing a hierarchical structure model based on the evaluation index;
based on the hierarchical structure model, comparing the evaluation indexes layer by using a nine-minute scale method to construct a judgment matrix;
respectively calculating eigenvectors and maximum eigenvalues based on the judgment matrix;
calculating based on the maximum characteristic value to obtain a consistency index;
under the condition that the consistency indexes are met, performing descending arrangement on the evaluation indexes of each level based on the feature vectors and the maximum feature values, and screening main indexes according to the number of preset indexes;
constructing a relational network based on the main indexes;
and establishing a one-to-one mapping relation based on the relation network and the project team, and constructing the project relation map.
5. The internet project team performance assessment method according to claim 4, wherein each of said project team construction methods comprises:
determining all task roles required by each project team based on the relationship network, and constructing role requirement vectors;
acquiring position competence historical data of all candidates, and constructing a quality evaluation matrix;
constructing an initial distribution matrix based on the role requirement vector and the job competence historical data of all the candidates;
calling a KM algorithm for calculation based on the quality evaluation matrix and the initial distribution matrix to obtain a maximum effect value;
solving the initial distribution matrix based on the maximum efficiency value to obtain a final distribution matrix;
identifying constituent members of the project team based on the final assignment matrix.
6. An internet project team performance assessment apparatus, comprising:
an acquisition module: the system comprises a project relation map, a project organization data set and a project organization data set, wherein the project relation map is a workflow formed by sequentially connecting project teams at each stage in an Internet project, each project team corresponds to one organization data set, and each organization data in each organization data set comprises performance evaluation information of all personnel in an organization;
setting a module: the project relation graph is used for determining a first weight value corresponding to each project team;
a first calculation module: the system is used for calculating based on the first weight value of each project team and the performance evaluation information of the personnel to obtain a performance score corresponding to each project team;
a second calculation module: the system is used for summing and calculating the performance scores corresponding to all the project teams based on the project relation maps to obtain team performance scores;
an evaluation module: for performing performance assessment on a team of internet projects based on the team performance score.
7. The internet project team performance assessment device of claim 6, wherein said acquisition module comprises:
a first acquisition unit: the system comprises a personnel value table and skill application weight parameters, wherein the personnel value table contains initial value parameters of all personnel in the last project construction, and the initial value parameters comprise personal value evaluation parameters and working efficiency evaluation parameters;
a judging unit: the skill application weight parameter calculation module is used for judging whether the personnel participates in the construction of the current project or not, and if the personnel participates in the construction of the current project, calculating based on the initial value parameter and the skill application weight parameter to obtain a personnel value change parameter;
a first processing unit: and calculating based on the personnel value change parameter and the Newton attenuation coefficient to obtain the performance evaluation information of the personnel.
8. The internet project team performance evaluation device of claim 7, wherein the first acquisition unit comprises:
a second acquisition unit: the system comprises a first parameter, a second parameter and a third parameter, wherein the first parameter, the second parameter and the third parameter are used for obtaining the first parameter, the second parameter and the third parameter of the personnel, and the first parameter is an evaluation value of the satisfaction degree of others on the working quality of the personnel after the personnel completes the construction of each project; the second parameter is a second weight value of the importance degree of the role played by the person in each project; the third parameter is a data set of all project constructions in which the personnel participate;
a second processing unit: the skill value calculation module is used for calculating a first skill value according to the first parameter and the second parameter, and the first skill value is the product of the first parameter and the second parameter;
a third processing unit: calculating a second skill value based on the third parameter and the first skill value, wherein the second skill value is the sum of the first skill values corresponding to all the project teams in the third parameter;
a fourth processing unit: for deriving the skill application weight parameter based on a quotient of the first skill value and the second skill value.
9. The internet project team performance assessment device of claim 6, further comprising a construction module, said construction module comprising:
a first screening unit: the system is used for carrying out expert consultation by adopting a Delphi method and determining an evaluation index by combining Internet project analysis;
a first building unit: the hierarchical structure model is constructed based on the evaluation index;
a scale unit: the evaluation index is used for comparing every two evaluation indexes layer by utilizing a nine-minute scale method based on the hierarchical structure model to construct a judgment matrix;
a fifth processing unit: respectively calculating eigenvectors and maximum eigenvalues based on the judgment matrix;
a sixth processing unit: calculating based on the maximum characteristic value to obtain a consistency index;
a second screening unit: the evaluation indexes of each level are sorted in a descending order based on the feature vectors and the maximum feature values under the condition that the consistency indexes are met, and main indexes are screened according to the number of preset indexes;
a second building element: for building a relationship network based on the primary metrics;
a third building element: the project relation graph is constructed based on the one-to-one mapping relation established by the relation network and the project team.
10. The internet project team performance assessment device of claim 9, wherein the acquisition module further comprises:
a fourth construction unit: the system is used for determining all task roles required by each project team based on the relationship network and constructing role requirement vectors;
a fifth construction unit: the system is used for acquiring the job competence historical data of all candidates and constructing a quality evaluation matrix;
a sixth construction unit: constructing an initial allocation matrix based on the role requirement vector and the job competency history data of all the candidates;
a seventh processing unit: the KM algorithm is called for calculation based on the quality evaluation matrix and the initial distribution matrix to obtain a maximum effect value;
a solving unit: the initial distribution matrix is solved based on the maximum efficiency value to obtain a final distribution matrix;
a distribution unit: for identifying constituent members of the project team based on the final assignment matrix.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210810121.7A CN114881547A (en) | 2022-07-11 | 2022-07-11 | Team performance evaluation method and device for Internet projects |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210810121.7A CN114881547A (en) | 2022-07-11 | 2022-07-11 | Team performance evaluation method and device for Internet projects |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114881547A true CN114881547A (en) | 2022-08-09 |
Family
ID=82683687
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210810121.7A Pending CN114881547A (en) | 2022-07-11 | 2022-07-11 | Team performance evaluation method and device for Internet projects |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114881547A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115730831A (en) * | 2023-01-10 | 2023-03-03 | 北京迈道科技有限公司 | Safety index evaluation method and device for construction operation organization behaviors and electronic equipment |
| CN116402416A (en) * | 2023-04-11 | 2023-07-07 | 北京思维实创科技有限公司 | Index data driven enterprise organization redundancy and importance evaluation method and system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107563633A (en) * | 2017-08-28 | 2018-01-09 | 平安科技（深圳）有限公司 | A kind of performance indicators examination appraisal procedure, equipment and storage medium |
| CN109190864A (en) * | 2018-06-21 | 2019-01-11 | 广东电网有限责任公司信息中心 | Performance appraisal method, apparatus, computer equipment and storage medium |
| CN110348697A (en) * | 2019-06-19 | 2019-10-18 | 深圳壹账通智能科技有限公司 | Performance appraisal method, apparatus, terminal and the computer readable storage medium of employee |
| CN110443520A (en) * | 2019-08-15 | 2019-11-12 | 广州达米信息科技有限公司 | Team collaboration member performance appraisal method, apparatus, medium, equipment |
| CN111222807A (en) * | 2020-02-23 | 2020-06-02 | 吴春涛 | Individual quantitative performance assessment method and team overall quantitative performance assessment method with same |
| CN111953543A (en) * | 2020-08-14 | 2020-11-17 | 国科量子通信网络有限公司 | PCA-AHP-based quantum communication network reliability condition evaluation method |
-
2022
- 2022-07-11 CN CN202210810121.7A patent/CN114881547A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107563633A (en) * | 2017-08-28 | 2018-01-09 | 平安科技（深圳）有限公司 | A kind of performance indicators examination appraisal procedure, equipment and storage medium |
| CN109190864A (en) * | 2018-06-21 | 2019-01-11 | 广东电网有限责任公司信息中心 | Performance appraisal method, apparatus, computer equipment and storage medium |
| CN110348697A (en) * | 2019-06-19 | 2019-10-18 | 深圳壹账通智能科技有限公司 | Performance appraisal method, apparatus, terminal and the computer readable storage medium of employee |
| CN110443520A (en) * | 2019-08-15 | 2019-11-12 | 广州达米信息科技有限公司 | Team collaboration member performance appraisal method, apparatus, medium, equipment |
| CN111222807A (en) * | 2020-02-23 | 2020-06-02 | 吴春涛 | Individual quantitative performance assessment method and team overall quantitative performance assessment method with same |
| CN111953543A (en) * | 2020-08-14 | 2020-11-17 | 国科量子通信网络有限公司 | PCA-AHP-based quantum communication network reliability condition evaluation method |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115730831A (en) * | 2023-01-10 | 2023-03-03 | 北京迈道科技有限公司 | Safety index evaluation method and device for construction operation organization behaviors and electronic equipment |
| CN116402416A (en) * | 2023-04-11 | 2023-07-07 | 北京思维实创科技有限公司 | Index data driven enterprise organization redundancy and importance evaluation method and system |
| CN116402416B (en) * | 2023-04-11 | 2023-10-20 | 北京思维实创科技有限公司 | Index data driven enterprise organization redundancy and importance evaluation method and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Karasakal et al. | A multicriteria sorting approach based on data envelopment analysis for R&D project selection problem | |
| Holman et al. | The convergence and divergence of job discretion between occupations and institutional regimes in Europe from 1995 to 2010 | |
| CN114881547A (en) | Team performance evaluation method and device for Internet projects | |
| Muthoni et al. | Corporate reputation and firm performance: An empirical analysis of motor vehicle assemblers in Nairobi city county, Kenya | |
| CN109325691A (en) | Abnormal behaviour analysis method, electronic equipment and computer program product | |
| US20170024678A1 (en) | Evaluating performance of organizational units using human capital values | |
| Valle et al. | Using self-organizing maps to model turnover of sales agents in a call center | |
| Simsek et al. | An application of network data envelopment analysis with fuzzy data for the performance evaluation in cargo sector | |
| Rahmanita et al. | Model multi criteria decision making with fuzzy ANP method for performance measurement small medium enterprise (SME) | |
| Dervitsiotis | How to attain and sustain excellence with performance-based process management | |
| Mardanov et al. | Integrated assessment and ranking of universities by fuzzy inference | |
| Aylin et al. | An integrated approach for prioritizing the dealers on the basis of organizational performance measurements | |
| Chrisdianto et al. | Determinants of Employee Performance: Study of Workability, Organizational Commitment and Professionalism in the Land Offices | |
| Jadhav et al. | Placement Readiness Check: Predicting Placement Status Using Supervised ML Methods | |
| CN110233864B (en) | Crowdsourcing-based information acquisition method, device, equipment and storage medium | |
| Bhardwaj et al. | Forecasting GDP per capita of OECD countries using machine learning and deep learning models | |
| Pang et al. | Project practitioner experience in risk ranking analysis: an empirical study in Malaysia and Singapore | |
| CN108846577B (en) | Group task allocation method based on context analysis | |
| CN112580953A (en) | Consulting person ability evaluation method | |
| WO2019235333A1 (en) | Behavior improvement system and behavior improvement method | |
| Berné-Manero et al. | The hotel management of e-wom. A cross-cultural analysis Spain-Italy | |
| Wanyama et al. | Strategic Management Practices and Performance of Parastatals in Kenya | |
| US20180189696A1 (en) | System and method for measuring and monitoring innovation intelligence | |
| GururamaSenthilvel et al. | Artificial Intelligence enabled Employee Performance Prediction using Comprehensive Learning Metrics | |
| Mittal et al. | Performance evaluation of employees using analytical hierarchical process: A case study of Indian IT industry |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20220809 |