JP2020077208A - Output program, output device, and output method - Google Patents

Abstract

To provide an output program or the like that outputs status of personnel of an own company in a display format that can be compared with other companies.SOLUTION: An output program causes a computer to perform processing of: acquiring a type of comparison target data including a plurality of indexes, a target ID that specifies the comparison target data, and typical specification data that specifies typical data that includes the indexes; acquiring comparison target data specified by the type and the target ID, and typical data specified by the typical specification data; and outputting display information for simultaneously displaying the comparison target data and the typical data.SELECTED DRAWING: Figure 9

Description

  The present invention relates to an output program or the like for outputting the status of human resources.

  Conventionally, an information system has been proposed in which a plurality of companies can mutually search and utilize information about human resources (Patent Document 1).

JP, 2014-49107, A

  However, the information of other companies is not fully utilized. The present invention has been made in view of such circumstances. Its purpose is to provide an output program or the like that outputs the status of its own human resources in a display form that can be compared with other companies.

  An output program according to the present invention acquires a type of comparison target data including a plurality of indexes, a target ID for specifying the comparison target data, and typical specification data for specifying typical data including the index, and the type and A computer is made to perform the processing of acquiring the comparison target data specified by the target ID and the typical data specified by the typical specification data, and outputting the display information for simultaneously displaying the comparison target data and the typical data. It is characterized by

  According to the present invention, since the status of the human resources of the company is output in a display form that can be compared with other companies, it is possible to use it for planning the human resources policy of the company.

It is explanatory drawing which shows the device structural example of an industry personnel analysis system. It is a block diagram showing an example of composition of an industry personnel analysis system. It is explanatory drawing which shows the example of employee DB. It is explanatory drawing which shows the example of company DB. It is explanatory drawing which shows the example of typical value DB. It is explanatory drawing which shows the example of risk DB. It is explanatory drawing which shows the example of comment DB. It is an explanatory view showing an example of a watch list DB. It is a flow chart which shows the example of a procedure of analysis main processing. It is a flow chart which shows the example of a procedure of analysis processing. It is explanatory drawing which shows the example of a condition setting and a result display screen. It is a flowchart which shows the other example of the procedure of an analysis process. It is explanatory drawing which shows the other example of condition setting and a result display screen. It is explanatory drawing which shows the other example of condition setting and a result display screen.

  Embodiments will be described below with reference to the drawings.

(Embodiment 1)
FIG. 1 is an explanatory diagram showing a device configuration example of an industry human resources analysis system. The industry human resources analysis system 100 includes an analysis server (output device) 1 and a plurality of company terminals 2. The analysis server 1 and each company terminal 2 send and receive information via a network N such as the Internet or a LAN (Local Area Network). The analysis server 1 is composed of a server computer, a blade server, and the like. A plurality of analysis servers 1 may be provided or may be realized by a plurality of virtual machines provided in one server device. Further, the function of the analysis server 1 may be provided by a cloud service. The company terminal 2 is composed of a personal computer, a smartphone, a tablet computer, or the like.

  FIG. 2 is a block diagram showing a configuration example of the industry human resources analysis system 100. The analysis server 1 includes a CPU (Central Processing Unit) (setting acquisition unit, index acquisition unit, output unit) 11, a ROM (Read Only Memory) 12, a RAM (Random Access Memory) 13, a large-capacity storage unit 14, and a communication unit 15. And a reading unit 16. The components are connected by a bus B.

  The CPU 11 performs various information processing by appropriately executing the control program (output program) 1P stored in the ROM 12. The RAM 13 is, for example, SRAM (Static RAM), DRAM (Dynamic RAM), or flash memory. The RAM 13 temporarily stores data generated when the CPU 11 executes the program.

  The large-capacity storage unit 14 is, for example, a hard disk or an SSD (Solid State Drive). The large-capacity storage unit 14 stores various databases (DB: Data Base). The large-capacity storage unit 14 stores an employee DB 141, a company DB 142, a typical value DB 143, a risk DB 144, a comment DB 145, and a watch list DB 146. Further, the control program 1P may be stored in the mass storage unit 14. All or part of the employee DB 141 to the watch list DB 146 may be stored in a place other than the analysis server 1. For example, it may be stored in a database server or cloud storage.

  The communication unit 15 is an interface for connecting to the network N by wire communication or wireless communication. The communication unit 15 transmits / receives information to / from an external device via the network N. The reading unit 16 reads information stored in a portable storage medium 1a including a CD (Compact Disc) -ROM or a DVD (Digital Versatile Disc) -ROM. The CPU 11 may read the control program 1P from the portable storage medium 1a via the reading unit 16 and store it in the mass storage unit 14. Further, the CPU 11 may download the control program 1P from the external device via the network N via the communication unit 15 and store the control program 1P in the large capacity storage unit 14. Further, the CPU 11 may read the control program 1P from the semiconductor memory 1b.

  The company terminal 2 includes a CPU 21, a ROM 22, a RAM 23, a display unit 24, an input unit 25, a large capacity storage unit 26, and a communication unit 27. The components are connected by a bus B.

  The CPU 21 controls each part of the hardware according to the control program 2P stored in the ROM 22. The RAM 23 is, for example, SRAM, DRAM or flash memory. The RAM 23 temporarily stores the data generated when the CPU 21 executes the program.

  The display unit 24 includes a liquid crystal display panel and the like. The display unit 24 displays the information about the human resources output by the analysis server 1. The input unit 25 is a keyboard or a mouse. The display unit 24 and the input unit 25 may be integrated to form a touch panel display. The company terminal 2 may display on an external display device.

  The large-capacity storage unit 26 is, for example, a hard disk or SSD. The large capacity storage unit 26 stores various data.

  The communication unit 27 communicates with the analysis server 1 via the network N. Further, the CPU 21 may use the communication unit 27 to download the control program 2P from another computer via the network N or the like and store the control program 2P in the large capacity storage unit 26.

  The DB used in the industry human resources analysis system 100 will be described. FIG. 3 is an explanatory diagram showing an example of the employee DB. The employee DB 141 stores employee information of companies that use the industry human resources analysis system 100. The employee DB 141 includes an employee ID column, a company ID column, a name column, an age column, a department column, a job type column, an area column, a salary column, a satisfaction level column, a workability column, a growth column and a motivation column. The employee ID column stores an employee ID that can uniquely identify each employee. The company ID column stores the company ID of the company to which the employee belongs. The name column stores the names of employees. The age column stores the age of employees. The department column stores information for identifying the department to which the employee belongs, department name and department ID. The job type column stores the job type of the employee. Job types include, for example, front-end engineer, sub-engineer, designer, and sales. The area column stores the areas where employees work. Areas include the Tokyo metropolitan area, Chubu, Kansai, Shikoku, Kyushu, and Hokkaido. The salary column stores employee salaries. The value to be stored may be a unit of 100,000 years instead of a unit of 1 yen. The degree of satisfaction column stores the degree of satisfaction of the employee's work. For example, the minimum value is 0% and the maximum value is 100%. The larger the value, the higher the satisfaction level of the employee. The workability column stores the workability felt by employees. For example, the minimum value is set to 0% and the maximum value is set to 100%, and the larger the value, the more strongly the employee feels that it is a company or workplace where it is easy to work. The growth column remembers the degree to which employees feel their growth through work. For example, the minimum value is set to 0% and the maximum value is set to 100%, and the larger the value, the more strongly the employee feels his or her own growth through work. The motivation sequence memorizes employees' willingness to work. For example, the minimum value is set to 0% and the maximum value is set to 100%, and the larger the value, the more the employee feels motivated for the work. The values in the satisfaction level column, workability column, growth column, and motivation column are calculated from the response of each employee to the questionnaire regarding work, the results of regular observations by the boss, the conversation content of regular interviews such as salary interviews, etc. Stored. Satisfaction, workability, growth and motivation are examples of indicators. The employee DB 141 may not be a single database shared by a plurality of companies, but may be a database that is logically different for each company.

  FIG. 4 is an explanatory diagram showing an example of the company DB. The company DB 142 stores information about the company. The company DB 142 includes a company ID column, a name column, an industry column, and an employee scale column. The company ID column stores company IDs that can uniquely identify each company. The name column stores the name of the company. The industry column stores the industry to which the company belongs. The employee scale column stores the employee scale of the company. The number of employees is, for example, 100, 250, 500, 1000 or 3000.

  FIG. 5 is an explanatory diagram showing an example of the typical value DB. The typical value DB 143 stores a typical value of an index serving as a reference when evaluating the situation of human resources for each employee group satisfying a predetermined condition. The typical value DB 143 includes an age column, a job type column, an area column, an industry column, a scale column, a value type column, a salary column, a satisfaction degree column, a workability column, a growth column and a motivation column. The age column stores the age of the employee group. For example, the twenties indicates an employee group whose age is 20 to 29 years old. The job type column stores the job type of the employee group. The area column stores the work area of the employee group. The industry column memorizes the industry of the working company of the employee group. The scale column stores the scale of employees of the employees of the employee group. The value type column stores the type of index value. For example, the types are upper limit, average, lower limit, etc. The upper limit indicates the upper limit of the index. The average indicates the average value of the index. The lower limit indicates the lower limit of the index. The salary column stores typical values regarding salaries of employee groups. The satisfaction degree column stores a typical value of the satisfaction degree of the employee group. The workability column stores typical values of workability of the employee group. The growth column stores typical values for growth of employee groups. The motivation column stores typical values of employee group motivation.

  FIG. 6 is an explanatory diagram showing an example of the risk DB. The risk DB 144 stores display information in retirement risk. The risk DB 144 includes a score column and a risk display column. The score column stores risk score value ranges. The risk score will be described later. The risk display column stores the evaluation for the risk score.

  FIG. 7 is an explanatory diagram showing an example of the comment DB. The comment DB 145 stores a template of a comment for the analysis result. The comment DB 145 includes a display sequence, a condition sequence, and a simple sentence sequence. The display permutation stores the display order of each sentence when composing a comment. When generating a comment, the sentences are combined in the order of the first sentence, the second sentence, the third sentence, ... The condition string stores conditions for selecting each sentence. The single sentence string stores a template for each sentence that constitutes a comment. In the example of FIG. 7, curly braces indicate variables. The value enclosed in curly brackets is replaced with a specific value (character string) depending on the analysis result. {Minus index} indicates that the index value is replaced with a negative index name. {Minus index (excluding salary)} indicates that the index value is replaced with the index name with a negative index value, but even if the salary is negative, it is not included in the replacement index name. {Lower 2 indices} indicates that when the indices are sorted by value, the lower 2 indices are replaced.

  FIG. 8 is an explanatory diagram showing an example of the watch list DB. The watch list DB 146 stores an evaluation target (watch target) to be referred to later, such as an object to which a change with time is to be referred. Here, the employee who wants to refer to later is memorized. The watch list DB 146 includes a company ID column, an employee ID column, and a date / time column. The company ID column stores the company ID. The employee ID column stores the employee ID of the employee to be referred to later. The date / time column stores the date / time registered in the watch list.

  Next, the processing performed by the industry human resources analysis system 100 will be described. FIG. 9 is a flowchart showing an example of the procedure of the analysis main process. The personnel person in charge of the company logs in to the analysis server 1 from the company terminal 2. After logging in, a menu screen is displayed on the display unit 24. The personnel manager uses the input unit 25 to select the analysis process on the menu screen. The menus other than the analysis process that can be selected on the menu screen are reference of watch data, edit of watch list, maintenance of data, and the like. The CPU 21 of the company terminal 2 transmits the analysis request to the analysis server via the communication unit 27 (step S1). The CPU 11 of the analysis server 1 receives the analysis request via the communication unit 15 (step S2). The CPU 11 transmits the setting screen to the company terminal 2 via the communication unit 15 (step S3). The CPU 21 of the company terminal 2 receives the setting screen via the communication unit 27 and displays it on the display unit 24 (step S4). The personnel person in charge uses the input unit 25 to set the target designation data and the comparison condition on the setting screen. The target designation data is data that designates a comparison target. The target designation data includes the type and the ID of the comparison target. For example, the type is individual comparison, occupational comparison, or organizational comparison. In the individual comparison, designated employees can be compared. In the job type comparison, the employee groups of the specified job types can be compared. In the organization comparison, the employee groups belonging to the designated organization can be compared. The comparison target ID (target ID) is an employee ID for individual comparison, a job title or job ID for job comparison, and an organization name or organization ID for organization comparison. The comparison condition is a condition (typical specific data) for selecting an index value used for comparison. For example, the comparison conditions are age, occupation, area, industry, employee scale, and value type (upper limit, average, lower limit). The CPU 21 acquires target designation data and comparison conditions (step S5). The CPU 21 transmits the target designation data and the comparison condition to the analysis server 1 via the communication unit 27 (step S6). The CPU 11 of the analysis server 1 receives the target designation data and the comparison condition via the communication unit 15 (step S7).

  The CPU 11 determines whether the type is individual comparison (step S8). When the CPU 11 determines that the type is individual comparison (YES in step S8), the employee data to be compared is read from the employee DB 141 (step S9). When the CPU 11 determines that the type is not the individual comparison (NO in step S8), it reads the employee data of the employees belonging to the compared employee group from the employee DB 141 (step S10). For example, in the case of job type comparison and the comparison target is a front-end engineer, the employee data of all employees whose job types are front-end engineers are read. The CPU 11 performs statistical processing (step S11). In the statistical processing, an average value, a median value, an upper limit value or a lower limit value, etc. are obtained for each index included in the read employee data. The value obtained by the statistical processing may be set in advance or may be set on the setting screen. If not set, use the average value. The index value of the employees to be compared or the statistical value (average value, etc.) of the indexes of the employee groups to be compared is referred to as the comparison index value (comparison target data).

  The CPU 11 reads out a typical value (typical data) as a comparison reference from the typical value DB 143 (step S12). For example, the average value of each index is read for a 100-person IT company, the work location is Tokyo, the thirties, and front-end engineers. The CPU 11 analyzes (step S13). CPU11 produces | generates the result screen containing an analysis result, and transmits it to the company terminal 2 via the communication part 15 (step S14). The CPU 21 of the company terminal 2 receives the result screen via the communication unit 27 and displays it on the display unit 24 (step S15). The analysis main process ends.

  FIG. 10 is a flowchart showing an example of the procedure of analysis processing. The analysis process corresponds to step S13 in FIG. The CPU 11 of the analysis server 1 generates a graph in which the comparison target value and the typical value are drawn for each index (step S21). For example, the graph is a radar chart. The CPU 11 calculates the difference value between the comparison target value and the typical value for each index (step S22). The CPU 11 sorts the indexes according to the magnitude of the difference value (step S23). The CPU 11 sorts the indexes (step S24). For example, the difference value is classified into a positive index, a difference value is a negative index, and a difference value is 0. The CPU 11 ends the analysis process and returns the process to the calling source.

  FIG. 11 is an explanatory diagram showing an example of the condition setting and result display screen. The condition setting and result display screen d01 is an example in which the above setting screen and result display screen are combined. The condition setting and result display screen d01 includes an age setting menu d011, a job type setting menu d012, an area setting menu d013, an industry setting menu d014, a scale setting menu d015, a value type menu d016, an apply button d017, a comparison type setting menu d018, a target selection. A menu d019 and a target area d021, a typical area d022, a graph area d023, a sorting area d024, and a difference area d025 are included. The age setting menu d011 to the target selection menu d019 are elements included in the setting screen. The target area d021 to the difference area d025 are elements included in the result display screen. The age setting menu d011 sets the age of the employee group as a comparison standard. The job type setting menu d012 sets the job type of the employee group as the comparison reference. The area setting menu d013 sets the work area of the employee group as a comparison reference. The industry setting menu d014 sets the industry to which the affiliated company of the employee group, which is a comparison reference, belongs. The scale setting menu d015 sets the scale of employees of the company belonging to the employee group that serves as a comparison standard. The value type menu d016 sets the types (average, upper limit, lower limit) of typical values that serve as comparison criteria. The apply button d017 is a button for applying the conditions from the age setting menu d011 to the value type menu d016. When the comparison result is displayed and the apply button d017 is selected with the input unit, the target area d021 to the difference area d025 are displayed again.

  The comparison type setting menu d018 is a tab for selecting the type of comparison target. The comparison type setting menu d018 includes an individual comparison tab d0181, a job type comparison tab d0182, and an organization comparison tab d0183. When the comparison target is an employee, the individual comparison tab d0181 is selected. When the comparison target is an employee group of a certain job type, the job type comparison tab d0182 is selected. When the comparison target is an employee group of a certain organization, the organization comparison tab d0183 is selected. The target selection menu d019 selects a comparison target. When the individual comparison tab d0181 is selected in the comparison type setting menu d018, the employee to be compared is selected in the target selection menu d019. When the job type comparison tab d0182 is selected in the comparison type setting menu d018, the job type to be compared is selected in the target selection menu d019. When the organization comparison tab d0183 is selected in the comparison type setting menu d018, the organization to be compared is selected in the target selection menu d019. The age setting menu d011, the job type setting menu d012, the area setting menu d013, the industry setting menu d014, and the target selection menu d019 are pull-down menus. When a portion including the lower triangle of each menu is designated by the input unit 25, a list of selectable items is displayed immediately below or on the right, and one can be selected from the list.

  The target area d021 displays the selected comparison target. The typical area d022 displays the conditions of the employee group as the comparison reference. The graph area d023 graphically displays the comparison target value and the typical value for each index. The sorting area d024 selects which sorting group index is to be displayed among the sorted indexes. The difference area d025 displays the difference value between the comparison index value and the typical value. The sorting area d024 includes a plus tab d0241 and a minus tab d0242. When the plus tab d0241 is selected, the index for which the difference value is positive, that is, the index for which the comparison index value is below the typical value is displayed in the difference area d025 together with the difference value. When the minus tab d0242 is selected, the index in which the difference value is positive, that is, the index in which the comparison index value exceeds the typical value is displayed in the difference area d025 together with the difference value.

  In the present embodiment, since the comparison index value and the typical value can be compared, it is possible to determine, based on the comparison result, from what viewpoint the measure for personnel affairs should be considered.

(Embodiment 2)
The present embodiment relates to a mode of displaying a score and a comment for a comparison result. FIG. 12 is a flowchart showing another example of the procedure of the analysis process. In FIG. 12, steps S41 to S43 are the same processes as steps S21 to S23 in FIG. The CPU 11 of the analysis server 1 calculates a score from the difference value of each index (step S44). For example, the score is the sum of the difference values of all indexes. The CPU 11 reads the risk based on the score from the risk DB 144 (step S45). The CPU 11 generates a comment based on the comparison result (step S46). The CPU 11 reads the template to be used from the comment DB 145, replaces the variable part with an appropriate index name, and generates a comment. The CPU 11 ends the analysis process and returns the process to the calling source.

  FIG. 13 is an explanatory diagram showing another example of the condition setting and result display screen. In the condition setting / result display screen d01 shown in FIG. 13, elements similar to those in FIG. 10 are designated by the same reference numerals, and description thereof will be omitted. The condition setting and result display screen includes a difference list area d026, a score area d027, and a comment area d028. The difference list area d026 displays the difference value for each index. For example, the difference values are displayed in descending order. It is desirable that the index having a negative difference value be highlighted such that the color of the difference value is changed or the background is changed. It should be noted that the highlighting is not limited to the one with a negative difference value. When the difference value is equal to or less than the threshold value designated in advance, the highlighting may be performed. The score area d027 includes a score value area d0271 and a risk display area d0272. The score value area d0271 displays the score obtained from the difference value. The risk display area d0272 displays the risk based on the score. The comment area d028 displays a comment based on the comparison result.

  FIG. 14 is an explanatory diagram showing another example of the condition setting and result display screen. The elements included in the condition setting / result display screen d01 shown in FIG. 14 are the same as the elements shown in FIG. 13, but the arrangement and expression method of some elements are different. Therefore, each element in FIG. 14 is given the same reference numeral as in FIG. 13, and description thereof is omitted. In FIG. 14, a watch button d01A is added. When the watch button d01A is selected, the comparison target selected in the target selection menu d019 is registered in the watch list.

  In the present embodiment, since the score and the comment are displayed based on the comparison result, it is possible to grasp the risk and obtain hints for countermeasures against the risk.

The technical features (constituent elements) described in each embodiment can be combined with each other, and new technical features can be formed by combining them.
The embodiments disclosed this time are to be considered as illustrative in all points and not restrictive. The scope of the present invention is shown not by the meanings described above but by the claims, and is intended to include meanings equivalent to the claims and all modifications within the scope.

100 Industry Human Resource Analysis System 1 Analysis Server 11 CPU
12 ROM
13 RAM
14 Mass Storage 141 Employee DB
142 Company DB
143 typical value DB
144 Risk DB
145 Comment DB
146 Watchlist DB
15 communication unit 16 reading unit 1P control program 1a portable storage medium 1b semiconductor memory 2 company terminal N network

Claims (10)

A type of comparison target data including a plurality of indexes, a target ID for specifying the comparison target data, and typical specification data for specifying typical data including the index,
Acquiring the comparison target data specified by the type and the target ID, and the typical data specified by the typical specifying data,
An output program that causes a computer to perform a process of outputting display information that simultaneously displays the comparison target data and the typical data. The output program according to claim 1, wherein the type of the comparison target data includes an individual, a job type, and an organization. The output program according to claim 1, wherein the display information includes a graph that displays the comparison target data and the typical data for each index. For each index, calculate the difference value between the comparison target data and the typical data,
The display information is configured to display the index having a calculated difference value of 0 or more and the index having a calculated difference value that are negative so as to be distinguishable from each other. The output program according to item 1. Calculate a score from the difference value for each index,
The output program according to claim 4, wherein the calculated score is included in the display information. The output program according to claim 4 or 5, wherein the display information is configured to highlight the index having the difference value equal to or less than a threshold value. The output program according to any one of claims 4 to 6, wherein a comment based on the difference value for each index is included in the display information. Acquire the target ID to be watched,
The output program according to any one of claims 1 to 7, wherein the acquired target ID is stored in a storage unit. A type of comparison target data including a plurality of indexes, a target ID for specifying the comparison target data, and a setting acquisition unit for acquiring typical specification data specifying typical data including the index,
An index acquisition unit that acquires the comparison target data specified by the type and the target ID, and the typical data specified by the typical specification data;
An output device for outputting display information for simultaneously displaying the comparison target data and the typical data. Computer
Acquiring a type of comparison target data including a plurality of indexes, a target ID for specifying the comparison target data, and typical specification data for specifying typical data including the index,
Acquiring the comparison target data specified by the type and the target ID, and the typical data specified by the typical specifying data,
An output method comprising performing a process of outputting display information for simultaneously displaying the comparison target data and the typical data.

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