JP5728287B2 - Recruitment management system - Google Patents

Description

  The present invention relates to a technique for supporting employment in an organization such as a company. In particular, in an organization composed of a plurality of departments (or business establishments), the present invention relates to a technique for identifying a candidate suitable for each department (such as a student) or for identifying a department suitable for a candidate. The department may be a company and the organization may be a so-called group company.

  Currently, recruiting activities of companies and the like are performed using IT technology such as the Internet. For example, it is common to submit an entry sheet via the Internet. In such a technique, there is Patent Document 1 as a technique for further supporting the employment of students. Patent Document 1 aims to facilitate a search that satisfies the employment conditions of a company under conditions desired by a student or the like. For this reason, Patent Document 1 is a job hunting support system that supports job hunting activities for students or graduates, and includes company information, job hunting information, job hunting information, student information, and job hunting condition information. The information that matches the student's job hunting information is extracted from the job information, and the information that matches the student information and the job information is extracted and displayed from the company information and the job information extracted above.

JP 2002-259543 A

  However, when a hiring organization (such as a company) is composed of a plurality of departments, it is not considered to specify more suitable departments and recruitment candidates (students or the like). Each department in an organization often performs different tasks, and if hiring or assignment is decided on a uniform basis, recruitment candidates that are not suitable for that department may be adopted (assigned). Accordingly, an object of the present invention is to match departments and recruitment candidates suitable for each other.

  In order to solve the above-mentioned problems, in the present invention, for each organization, the value of the item relating to business ability is determined, and this is compared with the value of the candidate for employment. The degree of fitness that indicates whether or not At this time, the value of the item of each organization uses a representative value (such as an average) of persons working in the organization. In addition, as the fitness level, the closer the recruitment candidate value and the organization value are, the better the fitness level is. This is more preferable when the fitness level is higher as it is closer even if the value is higher than the reference tissue value.

  According to the present invention, it becomes possible to specify a recruitment candidate more suitable for the organization.

It is a system configuration figure in one embodiment of the present invention. It is a flowchart which shows the flow of the process in one Embodiment of this invention. FIG. 6 is a diagram showing an office table 70. 4 is a diagram showing a student data table 80. FIG. It is a figure which shows the past offerer table 91. FIG. FIG. 6 is a diagram showing a determination check table 92. 7 is a diagram showing a candidate table 93. FIG. It is a figure which shows the calculation table 94 after a fitting. It is a figure which shows each item used for a fitness calculation. It is a figure which shows the example which calculated the fitness of C establishment about the student x.

  Hereinafter, an embodiment of the present invention will be described with reference to the drawings. FIG. 1 is a system configuration diagram according to the present embodiment. This system is used for recruitment activities in companies including a plurality of business establishments (A establishment, B establishment, C establishment, etc.). Each office is provided with terminals 100, 110, and 120 used by recruiters. And it is connected with the employment management system 200 which performs the main process of this embodiment via networks, such as an intranet. Here, the employment management system 200 is realized by a so-called computer, and includes a CPU 20 that executes arithmetic processing, a memory 30, and an input device 40 that receives input from a user, a monitor 10 that displays information, a program It has or is connected to a storage device (storage) for storing 60, program 60, and the like. Here, in addition to the program 60, the storage device stores various data (tables) such as the establishment table 70, student data 80, past offerer table 91, judgment check table 92, candidate table 93, and fitness calculation table 94. doing. These various data will be described later with reference to FIGS. FIG. 2 is a flowchart showing a flow of calculating the office suitability according to the present embodiment. Each process described below is executed by the employment management system 200. This is realized by the CPU 20 executing an operation according to the program 60.

  First, in S10, the indispensable conditions set by the establishment are received from the person in charge of adoption at each establishment via the terminal and stored in the establishment table 70. That is, as described in FIG. 3, a table is provided for each business location, and the conditions are recorded in association with “recruitment job types” in each table.

  Next, student data is extracted in S11, and it is further determined in S12 whether there is student data. First, in S11, student data is extracted from the student data 80 one by one in a predetermined order such as name order. Here, it is assumed that the data of the student x shown in FIG. 4 is extracted. Then, in S12, it is determined whether each student data has been extracted. Here, since the student data has been extracted from the student x, it is determined that there is student data, and the process proceeds to S13.

  Next, it is determined by a flag whether or not each student data has been determined based on the essential conditions. First, in S13, whether or not the extracted essential condition of the student has been judged based on the recorded contents of the judgment check column of the judgment check table 92 (FIG. 6), that is, ○ = completed, × = not yet completed. Here, since x is attached to the student x, it is determined that it has not been completed, and the process proceeds to step S14.

  Next, in S14, the data of the extracted student x is compared with the essential conditions of each office shown in FIG. 3, and it is determined whether or not the student satisfies the essential conditions. In this example, for the office A, the student x determines that the application department is “information”, and therefore does not match the “electricity” and “machinery” of the department A, and therefore does not satisfy the requirement. In addition, for the B division, the English test (score) does not match, so it is determined that it is not satisfied. Further, regarding the C office, since the desired job type matches “SE”, it is determined that the essential condition is satisfied. Although it is determined here whether or not they match, it may be determined that they match if a predetermined relationship is satisfied. For example. As with the English test, numbers are judged to satisfy the condition if they are in a certain range with the numbers set by each division. In addition, in the case of information such as job type, the same type may be recorded in advance as similar information and satisfy a similar relationship with each other. Further, when a plurality of pieces of information are recorded in one item, it may be satisfied if at least one of them is matched.

  Next, if it is determined in S14 that the required condition is satisfied, “Yes” indicating that the required condition is satisfied in the required determination column of the candidate table 93 (FIG. 7) of each business office is displayed in S15. sign up. In this example, since student x satisfies the required conditions for the C office, “○” is registered in the candidate table 110 of the C office. If it is determined in S14 that the essential condition is not satisfied, “X” indicating that the essential condition is not satisfied is registered in the essential determination column of the candidate table 110 of each office in S16. In this example, since the student x does not satisfy the required conditions for the A office and the B office, “x” is registered in the candidate table 2 of the A office and the B office. In S17, a flag that has been determined based on the essential conditions is registered. Here, “◯” is registered in the determination check column for student x in the determination check table 100.

  After the determination of student x, the next student data is repeatedly extracted in S11, and it is determined whether each student data is extracted in S12. If the next student data has not been extracted in S12, it is determined that each of the student data has been extracted, and the process proceeds to S18.

  Next, in S18, one piece of student data in which “◯” is registered in the mandatory determination column is extracted from the candidate table 110 of each business office one by one. Here, it is assumed that the data of the student x at the C office is extracted.

  Next, in S19, the degree of conformity to the office is calculated. First, in S19a and s19b, matching is performed for each item in the past offerer table 91 (FIG. 5), and the degree of fitness for each item is specified. In this example, each of the data in which “SE”, which is the desired job type of the student x, is “Temporary job type” is extracted from the past-employed person table 90 of the office C. First, the ratio of the “final educational background” item having the same “master” as the student x is calculated. In this example, the data in which “final education” is “master” is 50% of the records of “Career type” in business office C is “SE”. Then, the fitness is specified with a maximum score of 10 according to the ratio.

  In this example, since the “final educational background” item matches 50% of the candidates, the degree of fitness of “final educational background” is “5”. Similarly, the degree of conformity is specified for the items of “faculty”, “examination department division”, “research theme”, “qualification”, “English test”, and “aptitude test” in the past data table. Then, in S19c, the fitness of each item is added. In this example, the fitness level addition result is 41 points as shown in FIG. That is, as shown in FIG. 10, the degree of suitability of each item is specified using a table, and the sum is calculated. In S19d, the fitness data calculated in the column of the corresponding business in the fitness calculation table 94 is registered. Note that each item used in this process is as shown in FIG. 9, and each business division selects an essential item from these items. Each item is arbitrary, and an item that is selected or not shown on the user side may be added.

  Next, in S20, data is extracted from the fitness level calculation table 94 (FIG. 8) for each student, and the fitness levels of each office are compared. In this example, the establishment where the student x satisfies the indispensable condition and calculates the fitness is the C office, and the other offices have the fitness of 0 for comparison. Then, in S21, sorting is performed in the order of establishments having the highest conformity, and the establishments having the highest conformance are displayed at the top of the student screen. In this example, the office C is displayed at the top on the screen of student x.

100, 110, 120 ... terminals (for each division), 200 ... recruitment management system

Claims (3)

In the recruitment management system that manages the recruitment of organizations that include multiple departments,
Means for storing office information for each of a plurality of past candidates in the department;
Means for storing a plurality of recruitment candidate information related to the business for the recruitment candidates for the department;
Means for comparing each of the plurality of establishment information with each of the corresponding information of the plurality of recruitment candidate information for each past offerer,
By the comparison, each of the plurality of employment candidate information, each to identify each fit indicating a ratio matching the plurality of past nominee with, each adapted identified of the plurality of office information The degree of student suitability of each of the plurality of recruitment candidates is calculated by adding the degrees, and it is determined whether the recruitment candidate information satisfies the required items determined for each establishment in each establishment information, For establishments determined not to be satisfied, the student suitability is converted to 0, and for establishments determined to be satisfied, the student suitability is calculated as the establishment suitability , respectively .
A recruitment management system that makes it possible to determine the suitability of the recruitment candidate with respect to the establishment based on the suitability of the business. In the employment management system according to claim 1,
The employment management system according to claim 1, wherein the means for storing the business office information stores, as the business office information, a representative value of information related to a job of a candidate or a worker at the business office. In the employment management system according to claim 1 or 2,
The recruitment management system characterized in that the means for calculating the degree of business suitability increases the degree of suitability as the candidate information is closer to the business office information as a result of the comparison.

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