CN110956354A - Change management resource matching method, server and change management system - Google Patents
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Abstract
The embodiment of the invention relates to a method for matching change management resources, a server and a change management system. The method for matching the change management resources comprises the steps of obtaining change management project information; acquiring expert resource information in an expert resource library; and matching the change management project information with the expert resource information, and screening out the preferred expert resource information. According to the method, the reform management project information is obtained firstly, then the reform management project information is automatically matched with the expert resource information in the expert resource library, and the preferred expert resource information is screened out, so that the automatic matching of the reform resources is realized, and the efficiency and the accuracy of resource matching are improved.
Description
[ technical field ] A method for producing a semiconductor device
The invention relates to the technical field of reform management, in particular to a reform management resource matching method, a server and a reform management system.
[ background of the invention ]
The innovation management means that when the organization grows slowly, the internal bad problem is generated, and the change of the operation environment can not be responded, the enterprise must make an organization innovation strategy, and the internal hierarchy, the work flow and the enterprise culture are subjected to necessary adjustment and improvement management, so that the smooth transformation of the enterprise is achieved. The core of enterprise change is change management, and the success of change management comes from change management.
Generally, a change management service provides services to customers in the form of projects, and each time a project is created, resources such as experts need to be arranged for the project. At present, after a project is created, according to task characteristics contained in the project, appropriate expert resources are selected for the task in a manual mode.
In carrying out the present application, the applicant has found that the related art has at least the following problems: the manual mode is resources such as project arrangement experts, and the work load is big, and is inefficient, and along with project quantity, expert's quantity increase, the manual mode is difficult to support more.
[ summary of the invention ]
In order to solve the technical problem, embodiments of the present invention provide a method, a server, and a system for changing management resource matching, which improve resource matching efficiency.
In order to solve the above technical problems, embodiments of the present invention provide the following technical solutions: a method for matching change management resources comprises the following steps: acquiring information of a change management project;
acquiring expert resource information in an expert resource library;
and matching the change management project information with the expert resource information, and screening out the preferred expert resource information.
Optionally, the change management project information includes a change enterprise type, a change project type and a change task type; the expert resource information comprises enterprise characteristic information, project characteristic information and task characteristic information;
matching the change management project information with the expert resource information to screen out preferred expert resource information, wherein the method comprises the following steps:
respectively carrying out similarity matching on the reform enterprise type, the reform project type and the reform task type in the reform management project information and the enterprise characteristic information, the project characteristic information and the task characteristic information in the expert resource information;
and obtaining the preferred expert resource information according to the similarity matching result.
Optionally, the performing similarity matching on the change enterprise type, the change project type and the change task type in the change management project information and the enterprise feature information, the project feature information and the task feature information in the expert resource information respectively includes:
matching the transformational enterprise type with the enterprise characteristic information to obtain enterprise type similarity;
matching the reform item type with the item characteristic information to obtain item type similarity;
matching the transformational task type with the task characteristic information to obtain task type similarity;
the obtaining the preferred expert resource information according to the similarity matching result comprises: and obtaining the preferred expert resource information according to the enterprise type similarity and/or the project type similarity and/or the task type similarity.
Optionally, the obtaining the preferred expert resource information according to the enterprise type similarity, the project type similarity, and/or the task type similarity includes:
if the enterprise type similarity reaches the preset enterprise similarity,
and/or;
if the item type similarity reaches a preset item similarity,
and/or;
and if the task type similarity reaches the preset task similarity, determining the expert resource information as the preferred expert resource information.
Optionally, the obtaining the preferred expert resource information according to the enterprise type similarity, the project type similarity, and/or the task type similarity includes:
summing the enterprise type similarity, the project type similarity and the task type similarity to obtain matching similarity;
and if the matching similarity reaches the preset matching similarity, determining the expert resource information as the preferred expert resource information.
Optionally, the expert resource information further includes an execution effect measure value, geographical location information, and available time information;
the number of the preferred expert resource information is several;
after matching the change management project information with the expert resource information and screening out the preferred expert resource information, the method further comprises the following steps:
and screening available expert resource information from a plurality of pieces of preferred expert resource information according to the execution effect weighing value, the geographical position information and the available time information in the preferred expert resource information.
Optionally, the screening available expert resource information from a plurality of pieces of preferred expert resource information according to the execution effectiveness measure value, the geographic location information, and/or the available time information in the preferred expert resource information includes:
if the execution effect metric in the preferred expert resource information reaches a predetermined effect threshold,
and/or;
if the geographical location information in the preferred expert resource information meets a preset geographical location,
and/or;
and if the available time information in the preferred expert resource information meets the preset task starting and ending time, determining the preferred expert resource information as available expert resource information.
Optionally, after the screening out available expert resource information from a plurality of pieces of preferred expert resource information according to the execution effect measure value, the geographic location information, and the available time information in the preferred expert resource information, the method further includes:
acquiring capability evaluation information corresponding to the available expert resource information;
and updating the execution effect weighing value corresponding to the available expert resource information according to the capability evaluation information.
Optionally, the updating, according to the capability evaluation information, the execution effect metric value corresponding to the available expert resource information includes:
determining the capability evaluation type according to the capability evaluation information;
and updating the execution effect weighing value according to the capability evaluation type.
Optionally, the capability evaluation type includes positive evaluation information and negative evaluation information;
the updating the execution effect metric value according to the capability evaluation type includes:
if the capability evaluation information is forward evaluation information, upgrading the capability weighing value;
and if the capability evaluation information is negative evaluation information, performing degradation processing on the capability measure value.
In order to solve the above technical problems, embodiments of the present invention further provide the following technical solutions: a server is provided. The server includes: at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the change management resource matching method as described above.
In order to solve the above technical problems, embodiments of the present invention further provide the following technical solutions: a server is provided. The server includes: the client is used for providing a change project management interactive interface which is used for displaying the obtained change management project information and/or expert resource information; and
the server is communicated with the client.
Compared with the prior art, the method for matching the change management resources provided by the embodiment of the invention can be used for acquiring the change management project information; and then automatically matching the change management project information with the expert resource information in the expert resource library, and screening out the preferred expert resource information, thereby improving the efficiency and accuracy of resource matching.
[ description of the drawings ]
One or more embodiments are illustrated by way of example in the accompanying drawings, which correspond to the figures in which like reference numerals refer to similar elements and which are not to scale unless otherwise specified.
FIG. 1 is a schematic diagram of a corporate organization architecture according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an application environment of an embodiment of the present invention;
FIG. 3 is a flowchart illustrating a method for matching a change management resource according to an embodiment of the present invention;
FIG. 4 is a schematic flow chart of S30 in FIG. 3;
FIG. 5 is a flowchart illustrating a method for matching resources in a change management system according to another embodiment of the present invention;
FIG. 6 is a flowchart illustrating a method for matching change management resources according to another embodiment of the present invention;
fig. 7 is a schematic flow chart of S60 in fig. 6;
fig. 8 is a block diagram illustrating a configuration of a device for matching a revolutionary management resource according to an embodiment of the present invention;
fig. 9 is a block diagram of a server according to an embodiment of the present invention.
[ detailed description ] embodiments
In order to facilitate an understanding of the invention, the invention is described in more detail below with reference to the accompanying drawings and specific examples. It will be understood that when an element is referred to as being "secured to" another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may be present. As used in this specification, the terms "upper," "lower," "inner," "outer," "bottom," and the like are used in the orientation or positional relationship indicated in the drawings for convenience in describing the invention and simplicity in description, and do not indicate or imply that the referenced device or element must have a particular orientation, be constructed and operated in a particular orientation, and are not to be considered limiting of the invention. Furthermore, the terms "first," "second," "third," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
Furthermore, the technical features mentioned in the different embodiments of the invention described below can be combined with each other as long as they do not conflict with each other.
An enterprise of transformation: the reform enterprise refers to an enterprise needing reform management, and orders service products on a reform management platform. For example, referring to fig. 1, a revolutionary enterprise organization architecture includes an administrative department, a research and development department, a marketing department, a purchasing department, a financial department, and a legal department. The enterprise features strongly related to the change management are: the industry, the scale of the enterprise, the position in the industry chain and the like, and according to the characteristics, the similarity between different enterprises can be calculated.
A transformation project: after ordering the service product on the reform management platform, the reform enterprise creates the reform project based on the ordered service product. The project features strongly related to the change management are: types of transmutation, for example: human resource change, financial change, etc. Similarity between different items can be calculated according to the characteristics of the items.
The successful elements of the transformation project are as follows: the method mainly comprises the following points: 1. whether the change direction is accurate, such as human resource change management or financial change management; 2. whether the highest leader of an enterprise insists on supporting the change or not; 3. whether the investment of enterprises on the reform is in place or not; 4. whether the transformation scheme has industry best practice reference or not, and the best practice needs to be combined with business of an enterprise; 5. the participation degree, the participation time, and the like of the core role; 6. the management of the transformation process needs a management evaluation point and a technical evaluation point, the completion condition of the task is checked, and the delivery quality is ensured.
A reform task is as follows: the change projects comprise different change tasks, the content required to be executed is included in the change projects, and one or more tasks are included in one change project. Each task includes the following basic information: experts performing the task, task start time, task end time, progress of task execution, and the like. The task is to revolutionize the minimum unit of project execution, tracking, and measurement.
Expert resources: expert resources refer to human resources that are capable of performing the above-described transformational tasks.
The following illustrates an application environment of the change management resource matching method.
FIG. 2 is a schematic diagram of an application environment of a method for revolutionary management resource matching according to an embodiment of the present invention; as shown in fig. 2, the application scenario includes a client 21 and a server 22, and the client 21 communicates with the server 22, wherein the communication method may be a wired communication or a wireless communication.
The client 21 is used for displaying interaction pages related to the change management, such as an enterprise questionnaire page, a registration page, and a change item selection page. The enterprise questionnaire page, the registration page and the reform project selection page comprise a plurality of survey options, and enterprise users can select or fill in the corresponding survey options on the corresponding pages. For example, an enterprise user may select or fill out the industry to which the enterprise belongs, the size of the enterprise, the location in the industry chain, and so forth on an enterprise questionnaire page.
After the enterprise user selects or completes the filling in at the client 21, the client 21 automatically captures the data filled or selected by the user, and then the server 22 obtains the data and generates the information of the change management project according to the data. And then the server 22 matches the change management project information with the expert resource information in the expert resource library to screen out the preferred expert resource information.
In some embodiments, the server 22 may be a physical server or a logical server virtualized from multiple physical servers. The server 22 may also be a server cluster formed by a plurality of servers capable of communicating with each other, and each functional module may be distributed on each server in the server cluster.
The client may be any suitable type of electronic device, such as a server, a smartphone, a computer, a Personal Digital Assistant (PDA), a tablet computer, or a smart watch, among others. Wherein the electronic device may be configured in any suitable shape to meet different business scenarios.
Fig. 3 is an embodiment of a method for matching change management resources according to an embodiment of the present invention. As shown in fig. 2, the method for matching change management resources includes the following steps:
and S10, acquiring the information of the change management project.
The change management project information comprises a change enterprise type, a change project type and a change task type.
Specifically, the change management item information may be generated from survey results obtained through interaction pages related to change management, such as an enterprise questionnaire page, a registration page, and a change item selection page. For example, a plurality of survey options may be set on an enterprise questionnaire page, an enterprise user selects or fills in each survey option in the enterprise questionnaire page, and a selection result or a filling result input by the user in each survey option in the enterprise questionnaire page is used as a survey result, where the selection result is in the form of a choice question, for example, a survey question is "from which aspect your enterprise wants to improve research and development efficiency", option a: performance assessment of research and development personnel; and option B: researching and developing organization structure optimization; and option C: optimizing a research and development flow; option D: the capability of software developers is improved. The selection result may be a single check or a multiple check. The filling result is in a text input form, and the enterprise user fills text information on the column to be filled.
In some embodiments, the voice information of the enterprise user may also be collected in a voice form as the survey result, for example, the client collects the voice information corresponding to each survey option input by the user in the enterprise questionnaire page and sends the voice information to the server, the server converts the voice information into text information, and after performing semantic analysis on the text information, the target innovation object is extracted as the survey result. If the voice information is in a non-standard language, the server translates the voice information into a standard language according to the voice type of the voice information, for example, when the voice information is English, the server translates the English into Chinese.
Further, the server refines and analyzes the corresponding type of the reform enterprise, the type of the reform project and the type of the reform task according to the obtained survey result. For example, the affiliated industry, the enterprise size, the position in the industry chain, and the like corresponding to the enterprise user can be analyzed through the investigation result, and the corresponding revolutionary enterprise type can be determined.
And S20, acquiring the expert resource information in the expert resource library.
Specifically, the expert resource information includes enterprise characteristic information, project characteristic information, and task characteristic information. The expert resource database comprises a plurality of pieces of expert resource information, and each piece of expert resource information comprises an expert identification (name or number and the like), enterprise characteristic information which is good at execution, project characteristic information which is good at execution, task characteristic information which is good at execution and the like.
In the following, for convenience of understanding, please refer to table 1, and the embodiment of the present invention provides an example of expert resource information.
| Numbering | Expert identification | Enterprise characteristic information | Project characteristic information | Task feature information |
| 1 | A | Large software enterprise | Manpower resource transformation | Customer research task |
| 2 | B | Middle-sized manufacturing enterprises | Financial and economic change | Problem analysis task |
| 3 | C | Medium-sized communication enterprise | Revolution of research and development process | Remote review task |
TABLE 1
Table 1 shows 3 pieces of expert resource information, which can be obtained from table 1: experts are good at executing large software enterprises (enterprise characteristic information), human resource revolution (project characteristic information) and client research tasks (task characteristic information); b, experts are good at executing medium-sized manufacturing enterprises (enterprise characteristic information), financial and financial changes (project characteristic information) and problem analysis tasks (task characteristic information); c experts are good at performing medium-sized communication enterprises (enterprise characteristic information), development flow changes (project characteristic information), remote review tasks (task characteristic information).
And S30, matching the change management project information with the expert resource information, and screening out the preferred expert resource information.
Specifically, the preferred expert resource information is obtained by matching the type of the revolutionary enterprise, the type of the revolutionary project and the type of the revolutionary task in the acquired revolutionary management project information with a plurality of pieces of expert resource information in an expert resource library.
The embodiment of the invention provides a method for matching change management resources, which can firstly obtain the information of a change management project; and then automatically matching the change management project information with the expert resource information in the expert resource library, and screening out the preferred expert resource information, thereby improving the matching efficiency and accuracy.
In order to better match the reform management project information with the expert resource information and screen out preferred expert resource information, in some embodiments, referring to fig. 4, S30 includes the following steps:
and S31, respectively carrying out similarity matching on the change enterprise type, the change project type and the change task type in the change management project information and the enterprise characteristic information, the project characteristic information and the task characteristic information in the expert resource information.
Specifically, the enterprise type of the change is matched with the enterprise characteristic information to obtain enterprise type similarity; matching the reform item type with the item characteristic information to obtain item type similarity; and matching the transformational task type with the task characteristic information to obtain task type similarity. It can be understood that the higher the similarity of the enterprise types is, the more similar the transformational enterprise types and the enterprise characteristic information is, the higher the similarity of the project types is, the more similar the transformational project types and the project characteristic information is, the higher the similarity of the task types is, the more similar the transformational task types and the task characteristic information is.
The enterprise type similarity, the project type similarity and the task type similarity can be represented by numerical values, and the larger or smaller the numerical value is, the higher the similarity is. The enterprise type similarity, the project type similarity and the task type similarity can be represented by other characters, and different characters represent different similarities. For example: the enterprise type similarity can be represented by A, B, C and D respectively, the similarity between the revolutionary enterprise type represented by the enterprise type similarity A and the enterprise characteristic information is greater than the similarity represented by the enterprise type similarity B, the similarity represented by the enterprise type similarity B is greater than the similarity represented by the enterprise type similarity C, and the similarity represented by the enterprise type similarity C is greater than the similarity represented by the enterprise type similarity D.
And S32, obtaining the preferred expert resource information according to the similarity matching result.
Specifically, the preferred expert resource information is obtained by screening from a plurality of pieces of expert resource information in an expert resource library according to the enterprise type similarity, the project type similarity and/or the task type similarity.
In this embodiment, if the enterprise type similarity reaches a preset enterprise similarity, and/or; if the item type similarity reaches the preset item similarity, and/or; and if the task type similarity reaches the preset task similarity, determining the expert resource information as the preferred expert resource information.
For example, the enterprise type similarity, the project type similarity and the task type similarity are represented by numerical values, the larger the numerical value is, the larger the similarity is, and if the enterprise type similarity is 5 and the preset enterprise similarity is 3, the enterprise type similarity reaches the preset enterprise similarity; if the item type similarity is 4 and the preset item similarity is 5, the item type similarity does not reach the preset enterprise similarity; if the task type similarity is 2 and the task similarity is preset to be 3, the task type similarity does not reach the preset task similarity.
In some embodiments, the enterprise type similarity, the project type similarity and the task type similarity are summed to obtain matching similarity; and if the matching similarity reaches the preset matching similarity, determining the expert resource information as the preferred expert resource information.
For example, the enterprise type similarity, the project type similarity and the task type similarity are all represented by numerical values, the greater the numerical values are, the greater the similarity is, if the enterprise type similarity is 5, the project type similarity is 4 and the task type similarity is 2, the preset matching similarity is 10, the enterprise type similarity, the project type similarity and the task type similarity are summed to obtain the matching similarity 5+4+2 which is 11, the matching similarity 11 reaches the preset matching similarity 10, and the corresponding expert resource information is determined to be the preferred expert resource information.
In order to further improve the matching accuracy of the change management project information and the expert resource information, after the preferable expert resource information is screened out by matching the change management project information and the expert resource information according to the enterprise type similarity, in some embodiments, referring to fig. 5, the method further includes the following steps:
and S40, screening available expert resource information from a plurality of pieces of preferred expert resource information according to the execution effect weighing value, the geographical position information and the available time information in the preferred expert resource information.
The expert resource information further comprises an execution effect weighing value, geographical position information and available time information. The execution effect weighing value is used for measuring the effect evaluation value of the expert for executing the related task. The higher the execution effectiveness metric, the higher the completion or customer satisfaction of the executed task. For example: for the same task type, if the execution effect metric value of the expert A is larger than that of the expert B, the completion degree or the customer satisfaction degree of the task executed by the expert A is higher than that of the task executed by the expert B.
The execution effect metric value can be represented by a numerical value, and can also be represented by other characters. The execution effect weighing value can be automatically evaluated and set according to the completion condition of the task executed by the expert by the client or the inside.
The geographical location information refers to the geographical location of the expert resource. For example, the geographic location information of expert a is a district.
The available time information refers to a time period in which the expert resources are freely available. For example: currently, the time period that experts can freely control is from monday to wednesday if experts a do not schedule work tasks next monday to wednesday.
Specifically, the change management project information is matched with the expert resource information, a plurality of pieces of preferred expert resource information can be screened out, and then, the available expert resource information is screened out from the plurality of pieces of preferred expert resource information according to the execution effect weighing value, the geographic position information and the available time information.
In order to better screen available expert resource information from a plurality of the preferred expert resource information according to the performance measure value, the geographic location information and the available time information in the preferred expert resource information, in some embodiments, S30 includes the following steps:
if the execution effect metric in the preferred expert resource information reaches a predetermined effect threshold,
and/or; if the geographical location information in the preferred expert resource information meets a preset geographical location,
and/or; and if the available time information in the preferred expert resource information meets the preset task starting and ending time, determining the preferred expert resource information as available expert resource information.
The preset effect threshold value, the preset geographic position and the preset task starting and stopping time can be set according to the requirements of enterprise users. For example, a business user may set a preset geographic location based on the geographic location of the corresponding business. The enterprise user can set the deadline of a preset task according to the deadline required to be completed by the reform project, set corresponding start time for the difficulty of a plurality of reform tasks contained in the reform project, and further determine the start-stop time of the preset task according to the deadline and the start time.
For example, if the execution effect metric value of the expert a is 4 and the execution effect metric value is 5, the execution effect metric value of the expert a does not reach the preset effect threshold value; the execution effect metric value of expert B is 4, and the execution effect metric value of expert a is 3, then the execution effect metric value of expert a reaches the preset effect threshold. The geographical position information of the expert A is in the Chongqing city, the preset geographical position is in the Shenzhen city, and the geographical position information of the expert A does not meet the preset geographical position; and the geographical position information of the expert B is the Chongqing city, the preset geographical position is the Shenzhen city, and the geographical position information city of the expert A meets the preset geographical position. The available time information of the expert A is 5 months and 3 days to 5 months and 5 days, and the preset task starting and stopping time is 5 months and 2 days to 5 months and 3 days, so that the available time information of the expert A does not meet the preset task starting and stopping time; and the available time information of the expert B is from 5 months 3 days to 5 months 5 days, and the preset task starting and ending time is from 5 months 4 days to 5 months 5 days, so that the available time information of the expert A meets the preset task starting and ending time.
In order to further improve the matching accuracy of the reform management item information and the expert resource information, after screening available expert resource information from a plurality of pieces of preferred expert resource information according to the execution effect measure value, the geographic location information and the available time information in the preferred expert resource information, in some embodiments, referring to fig. 6, the method further includes the following steps:
and S50, acquiring the capability evaluation information corresponding to the available expert resource information.
Specifically, after available expert resource information is screened from a plurality of pieces of preferred expert resource information, and after an expert corresponding to the available expert resource information completes a corresponding reform task, an enterprise client or an internal part evaluates the execution condition of the reform task completed by the expert, so as to obtain the capability average information. For example, the average information of the ability of the enterprise client to complete the related change task by the expert a is "excellent", and the average information of the ability of the enterprise client to complete the related change task by the expert B is "bad".
And S60, updating the execution effect weighing value corresponding to the available expert resource information according to the capability evaluation information.
Specifically, because the enterprise client provides different capability evaluation information for the related revolutionary tasks completed by different experts, the execution effect metric value corresponding to the available expert resource information can be updated according to the capability evaluation information.
In order to better update the execution effect metric value corresponding to the available expert resource information according to the capability evaluation information, so that the execution effect metric value can reflect the real capability of the expert resource, please refer to fig. 7, S60 includes the following steps:
and S61, determining the ability evaluation type according to the ability evaluation information.
The capability evaluation type comprises positive evaluation information and negative evaluation information;
specifically, the ability evaluation information is subjected to semantic analysis, and if positive words, such as "excellent", "good", "efficient", and "in time", are included in the ability evaluation information, the ability evaluation information can be determined as forward evaluation information. If the capability evaluation information includes negative words, such as "not good", "not effective", and "general", etc., the capability evaluation information may be determined to be negative evaluation information. It will be appreciated that the forward evaluation information represents a high acceptance of enterprise users of the relevant revolutionary tasks performed by the expert resources. The negative evaluation information represents that the acceptance of the enterprise user on the related transformational tasks executed by the expert resources is low.
And S62, updating the execution effect measurement value according to the capability evaluation type.
Specifically, if the capability evaluation information is forward evaluation information, the capability metric value is upgraded; and if the capability evaluation information is negative evaluation information, performing degradation processing on the capability measure value.
For example, the execution effectiveness metric values are represented by values 1-10, and the larger the execution effectiveness metric value, the higher the completion degree or customer satisfaction degree of the executed task. The execution effect metric values of the expert a and the expert B are both 5, and after the same change task is executed, if the capability evaluation information corresponding to the expert a is the forward evaluation information, the capability metric values are increased by a preset value (i.e., the capability metric values are upgraded), for example, the capability metric values are increased by 1, that is, the updated capability metric values of the expert a are updated to 6, that is, the capability metric values of the expert a are upgraded. If the capability evaluation information corresponding to the expert B is negative evaluation information, the capability measure is decreased by a preset value (i.e., the capability measure is subjected to degradation processing), for example, the capability measure is decreased by 1, i.e., the updated capability measure of the expert a is updated to 4, i.e., the capability measure of the expert B is subjected to degradation processing.
It should be noted that, in the foregoing embodiments, a certain order does not necessarily exist between the foregoing steps, and it can be understood by those skilled in the art from the description of the embodiments of the present application that, in different embodiments, the foregoing steps may have different execution orders, that is, may be executed in parallel, may also be executed in an exchange manner, and the like.
As another aspect of the embodiment of the present application, the embodiment of the present application provides a change management resource matching apparatus 20. Referring to fig. 8, the apparatus 20 for matching a revolutionary management resource includes: a change management project information acquisition module 21, an expert resource information acquisition module 22 and a matching module 23.
The change management item information obtaining module 21 is configured to obtain change management item information.
The expert resource information acquisition module 22 is used for acquiring the expert resource information types in the expert resource library.
The matching module 23 is configured to match the change management item information with the expert resource information, and screen out preferred expert resource information.
Therefore, in the present embodiment, the information of the reform management project may be acquired by first acquiring; and then automatically matching the change management project information with the expert resource information in the expert resource library, and screening out the preferred expert resource information, thereby improving the efficiency and accuracy of resource matching.
The matching module 23 comprises a similarity matching unit and an optimal expert resource information acquisition unit;
the similarity matching unit is used for respectively matching the changing enterprise type, the changing project type and the changing task type in the changing management project information with the enterprise characteristic information, the project characteristic information and the task characteristic information in the expert resource information in the similarity matching mode.
And the preferred expert resource information acquisition unit is used for acquiring the preferred expert resource information according to the similarity matching result. The preferred expert resource information obtaining unit is specifically configured to obtain the preferred expert resource information according to the similarity matching result, and includes: and obtaining the preferred expert resource information according to the enterprise type similarity, the project type similarity and/or the task type similarity. Specifically, if the enterprise type similarity reaches a preset enterprise similarity, and/or; if the item type similarity reaches the preset item similarity, and/or; and if the task type similarity reaches the preset task similarity, determining the expert resource information as the preferred expert resource information. In some embodiments, the enterprise type similarity, the project type similarity and the task type similarity are summed to obtain matching similarity; and if the matching similarity reaches the preset matching similarity, determining the expert resource information as the preferred expert resource information.
The similarity matching unit comprises an enterprise type similarity matching subunit, a project type similarity matching subunit and a task type similarity matching subunit.
And the enterprise type similarity matching subunit is used for matching the transformational enterprise types with the enterprise characteristic information to obtain enterprise type similarity.
And the item type similarity matching subunit is used for matching the transformational item types with the item feature information to obtain item type similarity.
And the task type similarity matching subunit is used for matching the transformational task type with the task characteristic information to obtain task type similarity.
In some embodiments, the above-mentioned device for matching revolutionary management resources further includes an available expert resource information obtaining module, where the expert resource information obtaining module is configured to screen available expert resource information from a plurality of pieces of the preferred expert resource information according to the execution effect measure value, the geographic location information, and the available time information in the preferred expert resource information. The expert resource information acquisition module is specifically configured to, if the execution effect metric value in the preferred expert resource information reaches a preset effect threshold value, and/or; if the geographical position information in the preferred expert resource information meets a preset geographical position, and/or; and if the available time information in the preferred expert resource information meets the preset task starting and ending time, determining the preferred expert resource information as available expert resource information.
In some embodiments, the above-mentioned revolutionary management resource matching device further includes a capability evaluation information obtaining module and an updating module;
and the capability evaluation information acquisition module is used for acquiring capability evaluation information corresponding to the available expert resource information.
And the updating module is used for updating the execution effect weighing value corresponding to the available expert resource information according to the capability evaluation information.
The updating module comprises a capability evaluation type judging unit and an execution effect weighing value updating unit.
The ability evaluation type evaluation unit is used for determining the ability evaluation type according to the ability evaluation information.
And the execution effect metric value updating unit is used for updating the execution effect metric value according to the capability evaluation type. The execution effect metric value updating unit is specifically configured to, if the capability evaluation information is forward evaluation information, upgrade the capability metric value; and if the capability evaluation information is negative evaluation information, performing degradation processing on the capability measure value.
It should be noted that the above-mentioned change management resource matching device can execute the change management resource matching method provided by the embodiment of the present invention, and has the corresponding functional module and beneficial effect of the execution method. For technical details that are not described in detail in the embodiments of the apparatus for matching a change management resource, reference may be made to the method for matching a change management resource provided in the embodiments of the present invention.
Fig. 9 is a block diagram of a server 100 according to an embodiment of the present invention. The server 100 may be used to implement the functions of all or part of the functional modules in the main control chip. As shown in fig. 9, the server 100 may include: a processor 110, a memory 120, and a communication module 130.
The processor 110, the memory 120 and the communication module 130 establish a communication connection therebetween by means of a bus.
The processor 110 may be of any type, including a processor 110 having one or more processing cores. The system can execute single-thread or multi-thread operation and is used for analyzing instructions to execute operations of acquiring data, executing logic operation functions, issuing operation processing results and the like.
The memory 120 is a non-transitory computer-readable storage medium, and can be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as program instructions/modules corresponding to the method for matching the change management resources in the embodiment of the present invention (for example, the change management item information obtaining module 21, the expert resource information obtaining module 22, and the matching module 23 shown in fig. 8). The processor 110 executes various functional applications and data processing of the change management resource matching apparatus 20 by executing the non-transitory software programs, instructions and modules stored in the memory 120, that is, implements the change management resource matching method in any of the above method embodiments.
The memory 120 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the change management resource matching apparatus 20, and the like. Further, the memory 120 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, memory 120 optionally includes memory located remotely from processor 110, which may be connected to server 10 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The memory 120 stores instructions executable by the at least one processor 110; the at least one processor 110 is configured to execute the instructions to implement the method for revolutionary management resource matching in any of the above-described method embodiments, for example, to perform the above-described method steps 10, 20, 30, etc., to implement the functions of the modules 51-53 in fig. 8.
The communication module 130 is a functional module for establishing a communication connection and providing a physical channel. The communication module 130 may be any type of wireless or wired communication module 130 including, but not limited to, a WiFi module or a bluetooth module, etc.
Further, the embodiment of the invention also provides a reform management system, which comprises a client and a server, wherein the client is used for providing a reform project management interactive interface, and the server is in communication connection with the client.
The reform project management interactive interface is used for displaying interaction pages related to the reform project management, such as the acquired reform management project information or the screened preferred expert resource information.
In some embodiments, the server may be a physical server or a logical server virtualized from multiple physical servers. The server may also be a server cluster formed by a plurality of servers capable of communicating with each other, and each functional module may be respectively distributed on each server in the server cluster.
The client may be any suitable type of electronic device, such as a server, a smartphone, a computer, a Personal Digital Assistant (PDA), a tablet computer, or a smart watch, among others. Wherein the electronic device may be configured in any suitable shape to meet different business scenarios.
Further, embodiments of the present invention also provide a non-transitory computer-readable storage medium storing computer-executable instructions, which are executed by one or more processors 110, for example, by one processor 110 in fig. 9, and can cause the one or more processors 110 to execute the method for revolutionary management resource matching in any of the above-mentioned method embodiments, for example, to execute the above-mentioned method steps 10, 20, 30, and so on, to implement the functions of the modules 51 to 53 in fig. 8.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a general hardware platform, and certainly can also be implemented by hardware. It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above may be implemented by associated hardware as a computer program in a computer program product, the computer program being stored in a non-transitory computer-readable storage medium, the computer program comprising program instructions that, when executed by an associated apparatus, cause the associated apparatus to perform the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
The product can execute the method for matching the reform management resources, and has the corresponding functional modules and beneficial effects of executing the method for matching the reform management resources. For details of the technology that are not described in detail in this embodiment, reference may be made to the method for matching change management resources provided in the embodiment of the present invention.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; within the idea of the invention, also technical features in the above embodiments or in different embodiments may be combined, steps may be implemented in any order, and there are many other variations of the different aspects of the invention as described above, which are not provided in detail for the sake of brevity; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (12)
1. A method for matching change management resources is characterized by comprising the following steps:
acquiring information of a change management project;
acquiring expert resource information in an expert resource library;
and matching the change management project information with the expert resource information, and screening out the preferred expert resource information.
2. The method of claim 1, wherein the change management project information comprises a change enterprise type, a change project type, and a change task type; the expert resource information comprises enterprise characteristic information, project characteristic information and task characteristic information;
matching the change management project information with the expert resource information to screen out preferred expert resource information, wherein the method comprises the following steps:
respectively carrying out similarity matching on the reform enterprise type, the reform project type and the reform task type in the reform management project information and the enterprise characteristic information, the project characteristic information and the task characteristic information in the expert resource information;
and obtaining the preferred expert resource information according to the similarity matching result.
3. The method according to claim 2, wherein the matching the change enterprise type, the change project type and the change task type in the change management project information with the enterprise feature information, the project feature information and the task feature information in the expert resource information respectively comprises:
matching the transformational enterprise type with the enterprise characteristic information to obtain enterprise type similarity;
matching the reform item type with the item characteristic information to obtain item type similarity;
matching the transformational task type with the task characteristic information to obtain task type similarity;
the obtaining the preferred expert resource information according to the similarity matching result comprises: and obtaining the preferred expert resource information according to the enterprise type similarity and/or the project type similarity and/or the task type similarity.
4. The method according to claim 3, wherein the obtaining the preferred expert resource information according to the enterprise type similarity, the project type similarity and/or the task type similarity comprises:
if the enterprise type similarity reaches the preset enterprise similarity,
and/or;
if the item type similarity reaches a preset item similarity,
and/or;
and if the task type similarity reaches the preset task similarity, determining the expert resource information as the preferred expert resource information.
5. The method according to claim 3, wherein the obtaining the preferred expert resource information according to the enterprise type similarity, the project type similarity and/or the task type similarity comprises:
summing the enterprise type similarity, the project type similarity and the task type similarity to obtain matching similarity;
and if the matching similarity reaches the preset matching similarity, determining the expert resource information as the preferred expert resource information.
6. The method according to any one of claims 1 to 5,
the expert resource information also comprises an execution effect weighing value, geographical position information and available time information;
the number of the preferred expert resource information is several;
after matching the change management project information with the expert resource information and screening out the preferred expert resource information, the method further comprises the following steps:
and screening available expert resource information from a plurality of pieces of preferred expert resource information according to the execution effect weighing value, the geographical position information and the available time information in the preferred expert resource information.
7. The method according to claim 6, wherein the screening available expert resource information from a plurality of the preferred expert resource information according to the execution effectiveness measure value, the geographical location information and/or the available time information in the preferred expert resource information comprises:
if the execution effect metric in the preferred expert resource information reaches a predetermined effect threshold,
and/or;
if the geographical location information in the preferred expert resource information meets a preset geographical location,
and/or;
and if the available time information in the preferred expert resource information meets the preset task starting and ending time, determining the preferred expert resource information as available expert resource information.
8. The method of claim 7, further comprising:
acquiring capability evaluation information corresponding to the available expert resource information;
and updating the execution effect weighing value corresponding to the available expert resource information according to the capability evaluation information.
9. The method of claim 8,
the updating the execution effect metric value corresponding to the available expert resource information according to the capability evaluation information includes:
determining the capability evaluation type according to the capability evaluation information;
and updating the execution effect weighing value according to the capability evaluation type.
10. The method according to claim 9, wherein the capability evaluation type includes positive evaluation information and negative evaluation information;
the updating the execution effect metric value according to the capability evaluation type includes:
if the capability evaluation information is forward evaluation information, upgrading the capability weighing value;
and if the capability evaluation information is negative evaluation information, performing degradation processing on the capability measure value.
11. A server, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the change management resource matching method of any of claims 1 to 10.
12. A change management system, comprising:
the client is used for providing a change project management interactive interface which is used for displaying the obtained change management project information and/or expert resource information; and
the server of claim 11, in communication with the client.
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