JP2009140029A - Member selection support device - Google Patents

Abstract

[PROBLEMS] To assist a project manager in selecting members of a project.
A search condition receiving unit 50 receives an input of selection conditions for members participating in a project from a terminal 12 of a project manager. The candidate extraction unit 52 extracts a person who meets the selection condition as a candidate from the in-house database 20 in which attribute information related to the person to be selected is recorded. The intimacy calculating unit 54 calculates intimacy for all candidates indicating the degree of personal familiarity based on the frequency of joint activities with the project manager. The candidate display unit 60 displays the extracted candidates on the terminal 12 in the order of familiarity. The graph drawing unit 62 creates a closeness graph in a form in which a node representing the project manager and a node representing each member are connected by an edge having a length corresponding to the reciprocal of the closeness.
[Selection] Figure 2

Description

  The present invention relates to a technique for supporting selection of members who participate in a project.

  With the progress of the information society, computer systems are being used in every scene of society. Such a system is developed by organizing a project including engineers in various fields. In recent years, there has been a demand for lower budgets and shorter delivery times for system development projects, and project management has become increasingly difficult. Under such circumstances, it is said that many development sites lack experienced project managers.

  The project manager is the person responsible for managing and supervising the planning and execution of the entire project. In general, the activities of a project manager are extremely diverse, including project planning, estimation of available resources, securing of personnel and equipment necessary for the project, cost management, work instructions to members, negotiation with customers, progress management. Over.

  In particular, it is one of the important responsibilities of the project manager to select the members who will participate in the project from the available human resources. Properly predicting the necessary personnel and gathering members who meet the conditions will greatly affect the success of the project. At this time, it is difficult to gather enough members who have the experience and skills necessary for the project by targeting only human resources in the range around them. In particular, the degree of difficulty increases as the project becomes larger.

2. Description of the Related Art Conventionally, a system for searching for necessary human resources from candidates in a specific range, such as member selection by a project manager, has been proposed. For example, Patent Document 1 discloses a personnel selection support system that performs support for selecting appropriate personnel from among a plurality of personnel candidates based on ordering conditions from an orderer. Patent Document 2 discloses a human resource dispatch system that enables dispatch of human resources suitable for work of a plurality of dispatch destinations.
JP 2006-163514 A JP 2004-258757 A

  However, in the above patent document, candidates who satisfy a given condition can be extracted, but knowledge about whether or not those candidates can smoothly execute the project cannot be obtained. .

  In the actual project, the inventor of the present invention can greatly influence the success or failure of the project, not only because each member satisfies superficial conditions, but also the human relationship between project participants including the project manager. I found out. As a result, we have come to realize that consideration of the relationship between members participating in the project has a large specific gravity as an examination factor when selecting members.

  The present invention has been made in view of such a situation, and its purpose is to use the degree of personal closeness between the project manager and the member candidates to select the project manager when selecting members to participate in the project. It is to provide technology to support.

  One embodiment of the present invention is a member selection support device. This device uses a condition accepting unit that accepts input of selection conditions for members participating in the project from the terminal of the member selector, and a database in which attribute information related to the person to be selected by the member is recorded. A candidate extraction unit that extracts matching persons as candidates, a familiarity calculation unit that calculates a closeness representing the degree of personal familiarity for all candidates based on the frequency of joint activities with member selectors, and A candidate display unit for displaying candidates extracted by the candidate extraction unit on the terminal in order of intimacy, and members selected from the candidates via the member selector's terminal A graph drawing unit that draws on the terminal a closeness graph representing the closeness between the members.

  Here, the “project” refers to an activity in which a plurality of people participate and finish within a certain period in order to achieve a given purpose. In one example, it is a computer system development project. According to this aspect, “intimacy” representing the degree of personal familiarity with the project manager is introduced, and based on this familiarity, a familiarity graph representing the relationship between the project manager and the members is drawn. did. By referring to the familiarity graph, the project manager can determine the validity of the selected member.

  The graph drawing unit may create a closeness graph in a form in which a node representing a member selector and a node representing each member are connected by an edge having a length corresponding to the reciprocal of the closeness. Here, “the length corresponding to the reciprocal” means that the edge length decreases as the familiarity increases, such as inversely proportional or proportional to the power, and the edge becomes longer as the familiarity decreases. According to this, the project manager can grasp at a glance the size of the personal relationship with the selected members.

  When the participation history of multiple types of members to be selected for members is recorded in the database, the familiarity calculation unit refers to the database, and both the member selector and each candidate participated. A participation frequency counting unit that counts the number of activities for each type, and a weighted average unit that calculates a weighted average value of counts using different weights for each type of joint activity and outputs them as intimacy . Since the familiarity is calculated using information in a database that is accumulated for normal business management, it is possible to reduce the effort and cost required to construct a member selection support apparatus.

  If the initial member specified by the member selector and the familiarity given to each initial member are given to the condition reception unit prior to candidate extraction by the candidate extraction unit, the participation count counting unit is a member The number of joint activities that both the elector and each initial member participated is counted, and the weighted average section calculates the weight to be used when calculating the intimacy of candidates other than the initial member based on the familiarity and the number of times. May be. Thus, when the project manager designates the initial member, the weight can be automatically calculated.

  The intimacy calculation unit calculates intimacy for members excluding the member selector, and the graph drawing unit generates an intimacy graph in which all nodes representing the members are connected by edges having a length corresponding to the reciprocal of intimacy. You may create it. According to this, since the relationship between members other than the project manager can be easily grasped from the familiarity graph, the project manager can more appropriately determine the validity of the selected member.

  For all members selected by the member selector, find the ratio of the number of people who have participated in the same type of joint activity to the total number of members, and use the weighted average of the ratio using different weights for each type of joint activity A project risk calculation unit that calculates and outputs as a project risk that is an index indicating the smoothness of execution of the project may be further provided. By performing such quantification, it is possible to bring out project risk as a concrete standard when examining the validity of project members. Moreover, based on the numerical value of project risk, it can be classified into a stability-oriented type or a member training type.

  When the project is of a type that can represent the participation positions of the members in a hierarchical structure, the number of members in the actual participation positions of the members selected by the member selector is the ideal for each predetermined hierarchy. There may be further provided a balance degree calculation unit that calculates the degree of deviation from the number of people and outputs this degree as an index for judging the balance of members in the project. According to this, it is possible to grasp whether or not the participation positions of the selected members have an appropriate hierarchical structure.

  The graph drawing unit may display each member's node in a different manner depending on the member's attribute information.

  The graph drawing unit outputs the closeness graph in a mode that allows the member to be changed on the closeness graph displayed on the member selection person's terminal, and the closeness calculation unit can change the member via the terminal. The intimacy may be recalculated when done. According to this, the project manager can grasp the change in the relationship between the members when the members are changed.

  It should be noted that any combination of the above-described components, and a representation of the present invention by a method, apparatus, system, recording medium, and computer program are also effective as an aspect of the present invention.

  According to the present invention, it is possible to support the selection of members who participate in a project by using the degree of personal friendship between the project manager and the member candidates.

  According to an embodiment of the present invention, a member selection support apparatus that supports a project manager and a member who selects a member to participate in a system development project by using a closeness that is a degree of personal closeness between the project manager and the member. It is.

  FIG. 1 is an overall schematic diagram of a system 100 including a member selection support device 10 according to the present embodiment. The member selection support device 10 is connected to the in-house database 20 and the client terminal 12. The client terminal 12 is a personal computer including at least input means such as a keyboard and output means such as a display. The in-house database 20 stores various information about employees.

  The project manager operates the client terminal 12 to access the member selection support apparatus 10 and inputs predetermined conditions and the like. The member selection support device 10 searches the in-house database 20 to collect necessary information, and after providing a predetermined process, provides the client terminal 12 with information useful for selecting a project member.

The in-house database 20 includes a training database (indicated as “DB” in the figure) 24, an accounting database 26, a conference room database 28, and a personnel database 30.
The training database 24 stores a history of attending in-house training and outside training for each employee and a history of serving as a lecturer.
The accounting database 26 stores the date and time of the dinner meal that was applied for the dating fee, the name of the person who attended the meal, the outline of the recreation held in the company, and the name of the person who attended the recreation. Yes.
The conference room database 28 stores a summary of conferences held in the past and names of persons who attended the conference.
The personnel database 30 stores various attribute information of employees. This attribute information includes name, year of employment, age, gender, employee number, and position of participation in past projects. Here, the “participating position” represents a role in the personnel hierarchy of the project as shown in FIG. Participating positions include, for example, Project Manager (PM), Application Leader (AL), Project Leader (PL), Program Designer (PG), Programmer (PG), IT Architect (ITA), Technical Engineer (TE), etc. It is.

  Each of the databases 24 to 30 may store the above-described various information in the form of documents such as invoices, receipts, and application forms, and total participation history of training, dinner, recreation, or meetings, etc. May be stored in a tabular format.

  FIG. 2 is a functional block diagram showing a detailed configuration of the member selection support apparatus 10 of FIG. Each block shown here can be realized in hardware by an element such as a CPU and a memory of a computer, and is realized in software by a computer program having the functions described below. It is drawn as a functional block realized by the cooperation. Therefore, those skilled in the art will understand that these functional blocks can be realized in various forms by a combination of hardware and software.

  The search condition reception unit 50 receives input of selection conditions for members participating in the project from the client terminal 12 operated by the project manager. The form for inputting the condition is transmitted from the member selection support apparatus 10 to the client terminal 12 in the form of, for example, an HTML page, processed by the browser of the client terminal 12, and displayed on the screen. The input selection conditions are passed to the candidate extraction unit 52.

  The candidate extraction unit 52 accesses the in-house database 20 and extracts a person who matches the selection condition input by the project manager as a candidate. Conditions searched at this time are age, work experience, skills, and the like, and mainly information stored in the personnel database 30 is targeted. The extracted candidate name or employee number is passed to the familiarity calculation unit 54 and the candidate display unit 60.

  The intimacy calculating unit 54 calculates “intimacy” for all candidates based on the frequency of joint activities with the project manager, which represents the degree of personal familiarity with the project manager. Here, “joint activities” include training, dinner, recreation, and meetings.

The familiarity calculation unit 54 includes a participation count unit 56 and a weighted average unit 58.
The participation frequency counting unit 56 refers to the in-house database 20 and counts the number of joint activities in which the project manager and each candidate have participated for each type of training, dinner, recreation, and meeting.
The weighted average unit 58 calculates the weighted average (weighted average) of the number of times counted for each type, and outputs this to the candidate display unit 60 as the familiarity. The weight given at this time may be given by the project manager or may be calculated by another method. This will be described in detail later.

  Further, the intimacy calculation unit 54 may calculate intimacy for members other than the project manager in the same manner as described above.

  The candidate display unit 60 searches the in-house database 20 for personal information related to the candidate extracted by the candidate extraction unit 52. Then, a list in which the names of candidates including personal information are arranged in descending order of the intimacy calculated by the intimacy calculating unit 54 is created. This list is sent to the client terminal 12 of the project manager via the image output unit 64. The project manager can browse the list and select participating members from the candidates. In this specification, “member” refers to a candidate who has been selected by the project manager.

When the project manager selects a member, the information is passed to the graph drawing unit 62 via the search condition receiving unit 50. The graph drawing unit 62 receives the familiarity for the selected member from the candidate display unit 60, and draws the familiarity graph that graphically represents the familiarity between the project manager and each member on the terminal. Specifically, the graph drawing unit 62 creates a closeness graph in a form in which a node representing the project manager and a node representing each member are connected by an edge having a length corresponding to the reciprocal of the closeness.
If the intimacy is calculated by the intimacy calculation unit 54 for members other than the project manager, the graph drawing unit 62 sets the length corresponding to the reciprocal of the intimacy between all the nodes representing the members. Create an intimacy graph connected by the edges you have.

  The index presentation unit 70 obtains a plurality of indices that serve as a reference when the project manager determines whether or not the members selected for the project are appropriate. The index presentation unit 70 includes a project risk calculation unit 72, a balance degree calculation unit 74, and a skill match degree calculation unit 76.

  The project risk calculation unit 72 obtains the ratio of the number of persons who have participated in the same type of joint activity to the total number of members for all members selected by the project manager. Then, a weighted average value of ratios is calculated using different weights for each type of joint activity, and is output as a project risk that is an index representing the smoothness of execution of the project.

  In the case of a project that can represent the participation positions of members in a hierarchical structure, the balance degree calculation unit 74 determines the number of members of each actual participation position selected by the project manager for each predetermined hierarchy. The degree of deviation from the ideal number of people is calculated, and this degree is output as an index for judging the balance of members in the project.

  The skill match degree calculation unit 76 compares the desired number of skills by the skill specified by the project manager on the condition input screen with the number of members selected by skill of the actually selected members, and indicates the degree of satisfaction of the desired number of skills. Is calculated.

  Hereinafter, the procedure of member selection work by the project manager using the member selection support apparatus 10 will be described.

FIG. 3 shows an example of the member search condition input form 110.
In the basic information column 112, the range of the hire year and the age range are entered. In the business experience column 114, the name of a specific customer and type of industry who has experience in system development in the past are entered. These are preferably selected from options displayed in a menu format.
In the number of required skills column 116, the desired number of personnel is entered for each skill required for the project. FIG. 3 shows development skills as an example, but other skills may be used. In the knowledge field 118, the knowledge that is particularly required of the members is entered in a text format.
When the project manager inputs the above conditions according to the form and clicks the send button 124, the input content is sent to the search condition receiving unit 50.

A candidate that satisfies the above condition is selected by the candidate extraction unit 52, and the closeness calculation unit 54 calculates the closeness between the candidate and the project manager. Here, the familiarity F is calculated by the following equation.
F = _{(W A} × training number + _{W B} × dined number + _{W C} × recreational number + _{W D} × number of _{conferences) / (W A + W B} + W C + W D) ··· (1)

  In equation (1), the number of trainings, the number of meals, the number of recreations, and the number of meetings represent the number of times each candidate participated in the same activities as the various joint activities in which the project manager participated. The number of times of participation is acquired from the in-house database 20 by the participation number counting unit 56. When there is only document format data in the database, the participation count counting unit 56 searches the database for a document whose project manager name is included in the text, and extracts a person name included in the same document. By repeating this work, the number of participation in the joint activity can be obtained.

In Expression (1), W _A , W _B , W _C , and W _D are weights given to the number of times. The weights _{W A, W B, W C} , W D may enter the project manager. When the weight setting button 120 at the bottom of the form 110 is pressed, a weight setting screen 130 shown in FIG. 4 is displayed on the client terminal 12. In this screen, when the weight to be given to various joint activities is input in the column 132 and the transmission button 134 is clicked, the familiarity is calculated using the designated weight.

Further, the member selection support apparatus 10 may calculate the weights W _A , W _B , W _C , and W _D. The procedure in this case will be described below.
When the initial member designation button 122 at the bottom of the form 110 is clicked, an initial member designation screen 140 shown in FIG. 5 is displayed on the client terminal 12. In this screen, the project manager puts the name of the person who wants to add to the member (hereinafter referred to as “initial member”) in the column 142 for the number of weights (four in this example) and the same number of people. input. Then, for each initial member, the degree of intimacy with him is considered and entered in the field 146. Thereafter, when the weight calculation button 148 is clicked, information on the initial member and the intimacy is sent to the intimacy calculating unit 54 via the search condition receiving unit 50.

Subsequently, the participation count unit 56 accesses the internal database 20 and counts the number of joint activities in which both the project manager and each initial member have participated. For each initial member, the weighted average unit 58 substitutes the number of joint activities and intimacy into the formula (1). As a result, four linear equations having four weights W _A , W _B , W _C , and W _D as unknowns can be obtained. The weighted average unit 58 can obtain the weights W _A , W _B , W _C , and W _D by solving the simultaneous equations. The weighted average unit 58 uses the weight obtained as described above when calculating the familiarity of candidates other than the initial members.

  FIG. 6 shows a candidate list 150 output from the candidate display unit 60. In the list 150, personal information of candidates is displayed in descending order of closeness 158 with the project manager. The basic information column 152 displays the name, year of joining, age, and gender of the candidate. The skill column 154 displays the customer, industry, participation position at that time, and evaluation of the project in the past participating projects. In the joint activity column 156, details of joint activities that the project manager has participated with are displayed.

  The project manager refers to the list and puts a check in the check column 160 for candidates to be selected as members of the project. When the checked check list is transmitted, the graph drawing unit 62 creates a closeness graph that graphically represents the closeness between the selected member and the project manager.

  FIG. 7 shows an example of a screen 170 that displays the familiarity graph. A node 172 representing the project manager is located near the center of the screen, and a node 174 representing the selected member is arranged around the node 172. The name of the project manager or each member is displayed near the node. The length of the edge (arc) connecting the nodes is set to a length corresponding to the reciprocal of the familiarity. Therefore, a member having a greater closeness with the project manager is placed closer to the node of the project manager, and a member having a lower closeness is placed farther away. As a result, the project manager can grasp at a glance the magnitude of the relationship between the project manager and other members.

  As an example, the familiarity graph can be drawn using a well-known spring model. In the spring model, assuming that a spring force inversely proportional to the intimacy is applied between the nodes, the length of the edge connecting the nodes is determined. In addition, the arrangement of the nodes is determined so that the sum of the potential energy generated by the spring force between the nodes is minimized. The graph drawing unit 62 can draw a closeness graph using a known graph creation method other than the spring model.

As described above, when the closeness graph is created in consideration of only the closeness between the project manager and each member, the relationship between members other than the project manager becomes unclear. Therefore, in this embodiment, the intimacy is calculated for members other than the project manager to create the intimacy graph.
In the list shown in FIG. 6, when a member is selected by the project manager, the participation count counting unit 56 counts the number of participation in the same common activity for any two members. After counting this number of times for all member pairs, the weighted average unit 58 calculates the intimacy between the members in accordance with Equation (1). The weights W _A , W _B , W _C , and W _D used at this time may be the same as those used when calculating the intimacy with the project manager, or may be other.
The graph drawing unit 62 sets the length of the edge connecting the nodes of the members to a length corresponding to the reciprocal of the familiarity calculated between the members. This will allow the project manager to understand the relationship between all members at a glance.

  The graph drawing unit 62 may ignore an edge having a closeness lower than a preset threshold when drawing the closeness graph. Even if it does in this way, it has little influence on the whole graph shape. Alternatively, an edge having a closeness smaller than a preset threshold value is a calculation target at the time of node placement, but drawing on the closeness graph may be omitted. By doing this, it is possible to make the graph easier to see by erasing less important edges.

  The graph drawing unit 62 may display each member's node in a different manner depending on the member's attribute information. For example, in FIG. 7, the participating positions of members are written in letters at each node. In addition to this, the shape of the node or the color of the node may be changed according to the year of entry, age, skill, participation position, evaluation, and the like. In addition, the closeness graph may be configured such that when a pointer is placed on a node on the closeness graph displayed on the client terminal 12, a balloon 178 that displays attribute information of members of the node is displayed. .

  In addition, when the graph drawing unit 62 clicks on a node on the closeness graph displayed on the client terminal 12, the closeness graph is displayed so that a balloon 176 capable of instructing change such as deletion, replacement, and addition of members is displayed. May be configured. After the member change is instructed via the client terminal 12, when the recalculation button 182 in FIG. 7 is clicked, the familiarity calculating unit 54 recalculates the familiarity for the changed member. The graph drawing unit 62 corrects the arrangement of the nodes according to the recalculated familiarity. Thereby, the project manager can grasp the change in the relationship between the members when the members are changed.

  FIGS. 8A and 8B show examples of the shape of the familiarity graph. Referring to FIG. 8A, nodes representing members are divided into a group centered on the project manager and two groups centered on members having a relatively low degree of closeness to the project manager. In such a case, there is a risk that the cooperation between the groups may not be successful during the execution of the project. Also, referring to FIG. 8B, one node is located far away from the nodes representing the project manager and other members. In such a case, one member may become isolated during the project. In this way, by considering the distribution of nodes in the familiarity graph, the project manager can find in advance the existence of members that may be a problem in the performance of the project.

  As shown in FIG. 7, the screen 170 for displaying the familiarity graph also displays three indicators 180 for determining whether or not the selected member is appropriate. Hereinafter, a method for calculating each of these indices will be described.

Project risk is an indicator of how much the project manager and selected members participate in the same joint activities. Project risk is calculated as follows.
First, the project risk calculation unit 72 determines whether any pair of all members including the project manager has experience in participating in various joint activities with reference to the in-house database 20. At this time, if it participates in the same joint activity even once, it is determined that there is participation experience. This determination is performed for all member combinations for each type of training, recreation, dinner and meeting.

  FIGS. 9A to 9D are tables showing the above determination results when it is assumed that Tanaka, Azawa, B mountain, and C valley are all members. In each table, “○” is written for a combination of members who have participated in the same joint activity, and “X” is marked for a combination of members who have never participated in the same joint activity.

  Subsequently, the project risk calculation unit 72 calculates the ratio of “◯” in each table of FIGS. Specifically, in FIG. 9A, there are six member combinations, whereas three “◯” are written, so the training rate is 3/6 = 50%. Similarly, referring to FIGS. 9B, 9C, and 9D, the recreation rate, the dinner rate, and the conference rate are 33%, 66%, and 0%, respectively.

The project risk calculation unit 72 calculates the project risk P according to the following formula.
P = _{(V A} × training rate + _{V B} × dined index + _{V C} × recreational rate + _{V D} × conference _{rate) / (V A + V B} + V C + V D) ··· (2)
However, V _A , V _B , V _C and V _D are weights. This weight may be the same as the weights W _A , W _B , W _C , and W _D used when calculating the familiarity, or may be another value.

  If the project risk figure is relatively small, the members have little experience working together, and it can be judged that there is a high risk that the project will not progress well. If the project risk figure is relatively large, it can be judged that the members have a lot of experience working together and the project is likely to succeed. On the other hand, the proportion of inexperienced members is low, and it can be judged that there is a problem from the viewpoint of newcomer development. Thus, the project risk can be used as an index for judging whether or not the project proceeds smoothly.

  Subsequently, the balance degree will be described. In general, in order to carry out the project smoothly, it is desirable that the members' participation positions have an appropriate hierarchical structure. That is, as shown in the hierarchical structure 190 shown in FIG. 10, a plurality of leaders exist under the project manager (first hierarchy) (second hierarchy), and further members (third hierarchy) are allocated below them. The structure is desirable. Therefore, the balance degree calculation unit 74 calculates the balance degree by comparing the number of people in each level of ideal participation positions with the number of participation positions of the members selected by the project manager.

  As an example, assume that FIG. 11A represents the ideal number of people in each participating position hierarchy, and FIG. 11B represents the number of members in each participating position selected by the project manager. Columns 192 and 196 indicate the hierarchy in FIG. 10, respectively, and columns 194 and 198 indicate the number of persons.

The balance degree calculation unit 74 calculates the balance degree B according to the following equation.
B = {(number of members in level 2 of selected members) / (number of members in level 3 of selected members)} / {(number of people in layer 2 of ideal balance) / (number of people in layer 3 of ideal balance)} (3 )
When equation (3) is applied to FIG. 11, the balance degree B = (10/3) / (5/25) = 16.7.

The closer the balance degree is to 1, the more members are selected that have a hierarchical structure that is closer to the balance of ideal participation positions. It can be seen that a member is selected.
In FIG. 10, PD and PG positioned below PL may be defined as the fourth hierarchy, and the balance degree B may be calculated including the number of persons in this hierarchy.

  Next, the skill match level will be described. The skill match degree is determined by the number of skills by skill (hereinafter referred to as “desired number of people”) specified by the project manager on the search condition input screen of FIG. It is an index representing the degree of coincidence with “). As an example, the skill match degree calculation unit 76 obtains the difference between the desired number of persons and the current number of persons for each skill, and calculates the sum of squares thereof as the skill match degree. In this case, the larger the skill match value is, the more members there are as many as desired according to skill. The skill match degree may be calculated using other known calculation methods.

  It should be noted that an allowable range is set for each indicator of project risk, balance degree, and skill match degree, and a warning is given on the client terminal 12 of the project manager when the calculated index for the selected member is out of the allowable range. You may comprise so that a display may be made.

  In addition, the number of participation positions and skill desired numbers input as member selection conditions by a plurality of project managers may be aggregated at the company level. FIG. 12 shows an example of the total result 200. A column item 202 indicates a participation position desired by the project manager, and a row item 204 indicates a total number of desired people from the project managers belonging to each headquarters. A row 206 indicates the total number of people desired in the entire company. By performing statistical analysis on the results of the aggregation, it can be used for human resource development, recruitment activities, personnel changes, and the like.

FIG. 13 is a flowchart when selecting a member to participate in the project according to the present embodiment.
First, the search condition receiving unit 50 receives a selection condition for members participating in the project from the client terminal 12 of the project manager (S10). The candidate extraction unit 52 refers to the in-house database 20 and extracts a person who meets the selection condition as a candidate (S12). The intimacy calculating unit 54 calculates the intimacy with the project manager for each candidate using the above formula (1) (S14). The candidate display unit 60 displays a list of candidates arranged in order of familiarity on the client terminal 12 of the project manager (S16). When a member is selected by the project manager, the graph drawing unit 62 creates a closeness graph representing the selected member as a node and displays it on the client terminal 12 (S18). Furthermore, the index presenting unit 70 calculates each index described above for the selected member and displays it on the client terminal 12 together with the familiarity graph (S20). When the member is changed on the familiarity graph by the project manager (Y in S22), the familiarity calculation unit 54 recalculates the familiarity for the new member (S24), and the graph drawing unit 62 is recalculated. The familiarity graph is corrected based on the familiarity (S18). If there is no member change (N in S22), this flow is terminated.

  As described above, according to the member selection support apparatus of the present embodiment, the “intimacy” representing the degree of personal closeness with the project manager is introduced, and the project manager selects based on this familiarity. The intimacy graph showing the relationship between the selected members was drawn. This allows the project manager to understand at a glance the strength of the personal relationship between the selected members, and assists in determining whether the members are valid.

  In the past, the selection of project members often relied on the sense of the project manager. In contrast, in this embodiment, a wide range of human resources can be obtained by obtaining the above-mentioned intimacy for all candidates for selection of members while leaving a part of the sensory element of whether or not they are acquaintances. It is targeted for member selection.

  In the present embodiment, the project risk is calculated as an index for determining whether or not the selected member is appropriate. By performing such numericalization, it can be one of the concrete supports in the examination of the validity of project members who tend to fall into sensory discussions. It can also detect hidden risks lurking in the project.

  Furthermore, in this embodiment, instead of constructing a new database for member selection, the intimacy and various indexes are calculated by using the information of various databases already accumulated for normal corporate management. I tried to do it. Therefore, labor and cost required for the apparatus configuration can be suppressed.

  The present invention has been described based on some embodiments. It is understood by those skilled in the art that these embodiments are exemplifications, and that various modifications can be made to combinations of the respective constituent elements and processing processes, and such modifications are also within the scope of the present invention. By the way.

  It should also be understood by those skilled in the art that the functions to be fulfilled by the constituent elements described in the claims are realized by the individual functional blocks shown in the present embodiment or their linkage.

  In the embodiment, training, dinner, recreation, and a meeting are given as examples of joint activities. However, the number of participations in other joint activities may be used to calculate intimacy. Further, the familiarity may be calculated using only a part of the above-described example.

1 is an overall schematic diagram of a system including a member selection support device according to an embodiment. It is a functional block diagram which shows the detailed structure of a member selection assistance apparatus. It is a figure which shows an example of the input screen of member search conditions. It is a figure which shows an example of a weight setting screen. It is a figure which shows an example of an initial member designation | designated screen. It is a figure which shows the list of candidates output from a candidate display part. It is a figure which shows an example of the screen which displays a closeness graph. (A), (b) is a figure which shows the example of the shape of a closeness graph. (A)-(d) is a figure which shows the table | surface used for calculation of a project risk. It is a figure which shows an example of the hierarchical structure of the participating position in a project. (A) is a figure which shows the number of persons for every hierarchy of ideal participation positions, (b) is a figure which shows the number of persons for every hierarchy of participation positions of the member selected by the project manager. It is a figure which shows an example of the total result of the desired number of persons by a project manager. It is a flowchart when performing the selection operation | work of the member who participates in a project according to one Embodiment.

Explanation of symbols

  DESCRIPTION OF SYMBOLS 10 Member selection support apparatus, 12 Client terminal, 20 Internal database, 50 Search condition reception part, 52 Candidate extraction part, 54 Intimacy calculation part, 56 Participation count part, 58 Weighted average part, 60 Candidate display part, 62 Graph drawing unit, 64 image output unit, 70 index presentation unit, 72 project risk calculation unit, 74 balance degree calculation unit, 76 skill match degree calculation unit.

Claims (10)

A condition reception unit that accepts input of selection conditions for members participating in the project from the terminal of the member selector,
A candidate extraction unit that extracts a person who matches the selection condition as a candidate from a database in which attribute information related to a person to be selected as a member is recorded;
A familiarity calculation unit for calculating the familiarity representing the degree of personal familiarity for all candidates based on the frequency of joint activities with the member selector;
A candidate display unit that displays the candidates extracted by the candidate extraction unit on the terminal in the order of the intimacy;
For a member selected from among the candidates through the terminal of the member selector, a graph drawing unit that draws on the terminal a closeness graph representing the closeness between the member selector and each member;
A member selection support device characterized by comprising:   The graph drawing unit creates the familiarity graph in a form in which a node representing a member selector and a node representing each member are connected by an edge having a length corresponding to a reciprocal of the familiarity. The member selection support device according to claim 1. In the database, a history of participation in joint activities of a plurality of types of persons to be selected by members is recorded,
The intimacy calculation unit refers to the database, and counts the number of joint activities in which both the member selector and each candidate have participated for each type, and a different weight for each type of joint activity The member selection support apparatus according to claim 1, further comprising: a weighted average unit that calculates a weighted average value of the counts using the number and outputs the count as the familiarity. The condition receiving unit receives, via the terminal, an initial member designated by a member selector before the candidate extraction by the candidate extracting unit and a closeness assigned to each initial member,
The participation count section counts the number of joint activities in which both the member selector and each initial member have participated,
4. The member selection according to claim 3, wherein the weighted average unit obtains the weight used when calculating the familiarity of candidates other than the initial member based on the familiarity and the number of times. Support device. The intimacy calculation unit calculates intimacy for members excluding the member selector,
5. The member according to claim 3, wherein the graph drawing unit creates a closeness graph in which all nodes representing members are connected by an edge having a length corresponding to a reciprocal of the closeness. Selection support device.   For all members selected by the member selector, obtain the ratio of the number of people who have participated in the same type of joint activity to the total number of members, and use the weighted average of the ratios using different weights for each type of joint activity 6. The member selection support apparatus according to claim 1, further comprising a project risk calculation unit that calculates and outputs as a project risk that is an index representing smoothness of execution of the project. When the project is of a kind that can represent the participation positions of members in a hierarchical structure,
Calculate the degree to which the number of members in the actual participation position selected by the member selector deviates from the ideal ideal number, and use this degree as an index to judge the balance of members in the project. The member selection support device according to claim 1, further comprising a balance degree calculation unit for outputting.   8. The member selection support apparatus according to claim 1, wherein the graph drawing unit displays each member's node in a different manner according to the attribute information of the member. The graph drawing unit outputs the intimacy graph in a mode that allows a member to be changed on the intimacy graph displayed on the terminal of the member selector.
9. The member selection support apparatus according to claim 1, wherein the closeness calculating unit recalculates closeness when a member is changed through the terminal. A function that accepts input of selection conditions for members participating in the project from the terminal of the member selector,
A function that extracts a person who meets the selection condition as a candidate from a database in which attribute information related to a person to be a member is selected;
A function to calculate the intimacy for all candidates based on the frequency of joint activities with the selected members, representing the degree of personal familiarity,
A function to display the extracted candidates on the terminal in the order of the intimacy;
A function for drawing on the terminal a closeness graph representing the closeness between the member selector and each member for the members selected from the candidates through the terminal of the member selector,
A member selection support program characterized by comprising

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