JP2021166047A - Corporate transformation system, corporate transformation method, and corporate transformation program - Google Patents

Abstract

To analyze and visualize an issue of each employee and provide a measure as an appropriate solution to improve awareness and ability required for each employee.SOLUTION: A corporate transformation system 1 includes: a storage unit 11 that stores survey data 11B that accumulates survey results for employees who are diagnostic targets, and content data 11E that stores contents associated with a diagnostic element for each diagnostic element; an aggregation processing unit 12C that aggregates survey data 11B; a diagnostic processing unit 12D that performs, based on the aggregated results aggregated by the aggregation processing unit 12C, a diagnosis for each employee, and generates a diagnostic result for each diagnostic element; and a recommendation processing unit 12E that acquires, based on the diagnostic result generated by the diagnostic processing unit 12D, contents associated with the diagnostic element from the content data 11E and displays it on a user terminal.SELECTED DRAWING: Figure 4

Description

The present invention relates to a corporate transformation system, a corporate transformation method, and a corporate transformation program, and in particular, a corporate transformation system, a corporate transformation method, which provides a corporate transformation solution through solving human resources / organizational issues based on each employee. And about corporate transformation programs.

In recent years, the environment surrounding companies is changing drastically due to changes in the environment such as work style reforms, changes in work styles such as utilization of shared offices and promotion of telework, and changes in the concept of "working".

Even in such a changing environment, new "awareness" and "ability" are required for each employee working in a company in order to improve employee motivation and productivity. In addition, in order to grasp the abilities and issues of each employee and produce results as a team, new "weapons" and "abilities" are required on the management side as well.
In addition, in order to improve the engagement of each employee with the company, it is necessary to improve the EVP (Employee Value Proposition), that is, the value of each employee to work at the company, and the EVP of each employee. Will lead to the realization of sustainable growth of the company.

For that purpose, first of all, each employee working in the company should clarify what he / she wants to devote to at work, improve motivation by realizing growth through work, and realize work-life balance. It is necessary to continue to shine autonomously. By bringing together the power of such shining people, in a company, human resources with unseen strengths can play an active role autonomously, the turnover of excellent employees is reduced, and it is suitable for the company. Effective systems and measures can be implemented. And, as a result, it becomes possible for companies to continue to grow flexibly and with a sense of dynamism.

In this regard, conventionally, a system has been proposed that analyzes the state of a group and its members, determines coping actions for improving the state of the group and individual members, and gives advice (for example, patent documents). 1). In the system described in Patent Document 1, based on the results of a questionnaire of employees, group coping behavior advice for employees as a group and coping behavior advice for each employee as an individual are determined and proposed.

Japanese Patent No. 5854988

In the above system, the state of employees and the state of the entire company are calculated using the scores according to the answers to the questionnaire, and the coping behavior advice corresponding to the calculation result is determined and presented to the individual. Coping behavior support was not provided so that actions could be realized according to the content of the advice.

Therefore, companies are required to analyze and visualize the issues of individual employees and to provide measures as an appropriate solution for improving the awareness and abilities required of each employee. In addition, the solutions proposed to solve problems are not limited to those related to the execution of business within the company, but provide employees with measures that respond widely to changes in the environment such as work style reforms. Is required.

The present invention has been made in view of the above problems, and an object of the present invention is to analyze and visualize the problems of each employee and to improve the awareness and ability required of each employee. It is to provide a corporate transformation system, a corporate transformation method, and a corporate transformation program that can provide a move as a company.

According to the corporate transformation system according to the present invention, the above problem is to store survey data that accumulates the results of a survey of a person to be diagnosed and content data that stores the content associated with the diagnostic element for each diagnostic element. Diagnostic processing that performs diagnosis for each diagnosis target person based on the storage unit to be performed, the aggregation processing unit that aggregates the survey data, and the aggregation result aggregated by the aggregation processing unit, and generates the diagnosis result for each diagnostic element. By providing a unit and a recommendation processing unit that acquires content associated with the diagnostic element from the content data and displays it on the user terminal based on the diagnosis result generated by the diagnostic processing unit. It will be resolved.

Further, according to the corporate transformation method according to the present invention, the above-mentioned problems include survey data accumulating survey results for a person to be diagnosed, content data storing contents associated with the diagnostic element for each diagnostic element, and It is a method of corporate transformation by a server provided with a storage unit that stores A diagnostic step that performs a diagnosis for each person and generates a diagnostic result for each diagnostic element, and based on the diagnostic result generated in the diagnostic step, the content associated with the diagnostic element is acquired from the content data. It is solved by including a recommendation step to be displayed on the user terminal.

Further, according to the corporate transformation program according to the present invention, the above-mentioned problems include survey data accumulating the results of a survey of a person to be diagnosed, content data for storing the content associated with the diagnostic element for each diagnostic element, and the content data. A computer equipped with a storage unit that stores the data is used to perform a diagnosis for each diagnosis target person based on the aggregation procedure for aggregating the survey data and the aggregation result aggregated in the aggregation procedure, and the diagnosis result is obtained for each diagnostic element. To execute the generated diagnostic procedure and the recommendation procedure of acquiring the content associated with the diagnostic element from the content data and displaying it on the user terminal based on the diagnostic result generated in the diagnostic procedure. Is solved by.

Further, it is preferable that the survey data stores a score indicating an answer to a question as a result of the survey, and the aggregation processing unit aggregates the score of the survey data for each diagnosis target person and for each diagnosis element. Is.

In addition, the diagnostic processing unit determines the problem of the diagnosis target person based on the score aggregated by the aggregation processing unit, and the recommendation processing unit is a diagnostic element determined to be a problem by the diagnostic processing unit. It is preferable to acquire the associated content from the content data.

By providing the above configuration, it is possible to display the content associated with the diagnostic element for each diagnostic element based on the diagnostic result of each employee on the user terminal of the employee as recommended content. This will allow employees to find and participate in the right content to improve their abilities. As a result, the autonomous creativity of each employee will improve, which will ultimately lead to the realization of corporate growth.

According to the present invention, working people continue to shine autonomously individually, and by concentrating the power of such shining people, it is possible to realize sustainable corporate growth that is supple and dynamic with change. We can provide corporate transformation systems, corporate transformation methods, and corporate transformation programs.

It is a figure which shows the outline of the enterprise transformation system which concerns on this invention. It is a figure which shows the flow of each function of the enterprise transformation system. It is a system whole configuration diagram of the company transformation system. It is a figure which shows an example of the function of the server of the enterprise transformation system. It is a screen configuration diagram of the corporate transformation system. It is a figure which shows an example of a personal top screen. It is a figure which shows an example of my report screen. It is a figure which shows an example of the content top screen. It is a figure which shows an example of the content detail screen. It is a flowchart which shows an example of the aggregation process. It is a flowchart which shows an example of a diagnosis process. It is a flowchart which shows an example of a recommendation process.

Hereinafter, an embodiment of the present invention (hereinafter, the present embodiment) will be described with reference to FIGS. 1 to 9. It should be noted that the embodiments described below are merely examples for facilitating the understanding of the present invention, and do not limit the present invention. That is, the present invention can be modified and improved without deviating from the gist thereof, and it goes without saying that the present invention includes an equivalent thereof.

<< Overview of Corporate Transformation System >>
First, with reference to FIGS. 1 and 2, the outline of the corporate transformation system S (hereinafter referred to as the system S) according to the present embodiment will be described.
In this system S, the company / organization is positioned as an "important environment" that affects the performance of employees, that is, individual employees and their gathering. Then, this system S is based on each employee, (i) a solution (function for employees) that works on each employee, and (ii) "philosophy, vision, strategy, management," which has a great influence on each employee. Providing solutions (functions for organizations) to "working environment". In other words, it provides corporate transformation solutions through "solving human resources and organizational issues based on individual employees." The function for employees is a function used by each employee, and the function for organizations is a function for managers of organizations such as line managers, personnel, and managers.

Each function and processing flow of this system S are shown below.
(1) Data collection / accumulation function This function conducts surveys on employees and accumulates response data. It also accumulates information such as personnel information within the company and service usage history for each employee. The survey is conducted in a format in which questions associated with each diagnostic item (also referred to as a diagnostic element) are prepared in advance in order to perform various diagnoses, and employees answer the questions. The answer to each question is, for example, in the form of selecting from a 6-point evaluation, and the score of the selected option is held as an answer. In addition, it is also possible to input the content of the answer as a free answer in text, voice, image, or other data formats, and these input data are retained.
(2) Personal data analysis function This function analyzes the information collected / accumulated by the data collection / accumulation function regarding each employee, and each employee has qualities, competencies (behavioral characteristics), values, realization, and experience. Etc. are analyzed by a predetermined aggregation process (aggregation logic).
(3-1) Visualization function This function obtains job aptitude, competency level, experience level, EVP score, autonomous creativity, autonomous creative organization score, etc. for each employee based on the results analyzed by the personal data analysis function. , Generated by a predetermined aggregation process (aggregation logic) and can be displayed on a user terminal or the like upon request. With this function, it is possible to visualize the current situation and issues of each employee. In addition, it is possible to generate the above-mentioned various scores of the organization from the data of each employee and visualize the current situation and issues of the organization.
(3-2) Diagnostic function This function is used for each employee based on various scores created by the visualization function. Training diagnosis, career development diagnosis, group development diagnosis, autonomous creative diagnosis, EVP diagnosis, leader compatibility diagnosis. , Various diagnostic results such as mentor candidate diagnosis are generated by a predetermined diagnostic process (diagnosis logic). In addition, each diagnosis result for each tissue is generated for the tissue.
(3-3) Recommendation function This function prescribes content (hereinafter, also referred to as “push”) that is recommended for each employee and organization based on various diagnostic results generated by the diagnostic function. Judgment, acquisition, and acquired content are presented by recommendation processing (recommend logic).
(4) Action implementation function This function supports the employees and organizations to experience, use, and practice the moves selected by the employees and the organization from the moves recommended by the recommendation function. For example, the content as a move includes a learning program, an experience program, a life support program, an organization consulting program, etc., and when an employee selects a move that he / she wants to experience / use / practice from a user terminal, he / she actually A website where you can apply for participation in the selected program and purchase procedures will be displayed, and you will be able to apply and purchase on that website.

By repeating the cycle of each function from the data collection / accumulation function to the action execution function according to the predetermined loop processing (loop logic) according to the above flow, the "awareness" and "ability" of each employee is improved. do. As a result, the EVP of each employee is improved, and the personality of employees is improved, so that the realization of sustainable corporate growth that is flexible to change is achieved.
In addition, the visualization function, diagnostic function, recommendation function, and move execution function have individual functions and organizational functions, respectively. In the organizational functions, managers such as line managers, personnel, and managers manage themselves. It is possible to confirm the diagnosis results of individual subordinate employees and the diagnosis results of each organizational unit, and to receive content proposals and implementation support for the organization.

In this way, this system S collects and accumulates data, visualizes the current situation and issues of each employee and organization (employee base point), and recommends actions to be taken for the issues. Then, by selecting and using the move that the employee and the organization want to experience from the recommended moves, this system S enables the autonomous creativity of each employee through the experience, use, and practice of the move. Support and promote awareness and voluntary development. In addition, by looping the usage history and usage result data of the striker, it is possible to further visualize and improve the accuracy of the striker.

<< Overall configuration of corporate transformation system >>
Next, the configuration of the corporate transformation system S according to the present embodiment will be described.
Hereinafter, the employee (including the person in charge of personnel and the line length) who uses this system S is also referred to as a "user" or a "diagnosis target person", and the terminal used by the employee is referred to as a "user terminal".
FIG. 3 is a diagram showing the overall configuration of the system S. The system S includes a server 1 and a user terminal 5 as an example. The server 1 and the user terminal 5 are connected so as to be able to communicate with each other via a communication network NW such as the Internet.

The server 1 is, for example, a cloud server that provides software services to a user terminal 5 connected via a communication network NW. As an example of the software service, the server 1 provides the user terminal 5 with an application for realizing each function of the corporate transformation system. As a result, the user terminal 5 can input the survey answer, display the analysis result and the diagnosis result, display and select the recommended move, and the like.

The user terminal 5 is an information processing terminal such as a personal computer, a tablet terminal, or a smartphone operated by the user. The user terminal 5 connects to the server 1 via the communication network NW, and receives the software service provided by the server 1.

<Hardware configuration of server 1>
The server 1 is a computer including a processor (not shown), a storage device, and a communication interface.
A processor is hardware (eg, a CPU) for executing an instruction set described in a program. The processor executes various arithmetic processes based on the programs and data stored in the storage device, and controls each part of the server 1.

The storage device includes, for example, a memory and a magnetic disk device, and stores various programs and data. The storage device is also used as a work memory of the processor. The storage device may include an information storage medium such as a flash memory or an optical disk.
The communication interface includes, for example, a network interface card, and communicates with a computer such as a user terminal 5 via a communication network such as the Internet or an intranet.

The server 1 may be realized by using one server, but a cloud server that provides SaaS (Software as a Service), which is a service that enables software to be used via the Internet, an application development environment, and the like. It may be composed of a plurality of cloud servers that provide Platform as a Service (PaaS), which is a service that enables the platform required for execution.

<Hardware configuration of user terminal 5>
The user terminal 5 includes a processor (not shown), a storage device, a communication interface, an input device, and a display device (not shown). The input device and the display device may be provided as external devices of the user terminal 5.
A processor is hardware (eg, a CPU) for executing an instruction set described in a program. Then, the processor executes various arithmetic processes based on the programs and data stored in the storage device, and controls each part of the user terminal 5.

The storage device is configured to include, for example, a memory and a magnetic disk device, stores various programs and data, and also functions as a work memory of a processor. The storage device may include an information storage medium such as a flash memory or an optical disk.
The communication interface includes, for example, a network interface card, and communicates with a computer such as a server 1 via a communication network such as the Internet or an intranet.

The input device includes, for example, a touch panel, a keyboard, a mouse, and the like, and accepts input from the user.
The display device includes, for example, a liquid crystal display device, an organic EL display device, and the like, and outputs a screen based on graphic data generated by a processor. For example, the screens shown in FIGS. 6 to 9 described later are examples of screens displayed on the display device.

<< Functions of Server 1 >>
Next, with reference to FIG. 4, the functions provided in the server 1 will be described.
As an example, the server 1 includes a storage unit 11 including a storage device and a control unit 12 including a processor.
The storage unit 11 stores various databases, for example, employee data 11A that stores basic information about each employee for each company, and a survey that accumulates and stores the results of surveys conducted on employees. Predetermined aggregation processing and diagnostic processing were executed based on the data 11B, the usage history data 11C that accumulates and stores the service usage history for each employee, the employee data 11A, the survey data 11B, the usage history data 11C, and the like. Diagnostic data 11D for storing the result data and content data 11E for storing the information of the content as a mover are stored.

As an example, the control unit 12 includes a reception unit 12A that receives user input from the user terminal 5, a display control unit 12B that generates screen information and controls it to be displayed on the display device of the user terminal 5, survey data 11B, and the like. Each employee is diagnosed based on the analysis / aggregation results generated by the aggregation processing unit 12C and the aggregation processing unit 12C that analyze information such as historical data 11C and generate analysis / aggregation results of various scores, etc. Based on the diagnostic results generated by the diagnostic processing unit 12D and the diagnostic processing unit 12D, the content (push) corresponding to the diagnostic result is extracted under predetermined conditions and the recommendation to generate the information to be proposed to the employee is generated. A processing unit 12E and a loop processing unit 12F for repeatedly executing each of the above processes are provided.

<< Database configuration >>
Next, among the databases used in this system S, the main databases will be described.
The survey data 11B is a database that accumulates and stores the results of surveys conducted on employees, and has employee identification information, question identification information, answer scores, diagnostic element association information, and the like.
The survey is conducted in a format in which questions associated with each diagnostic element are prepared in advance for performing various diagnoses, and employees answer the questions. As an example, the answer to the question is in the form of selecting from a 6-point evaluation, and the score of the selected option (any of 1 to 6) is the answer score. The survey data 11B stores the answer score as a survey result for each employee and each question. In addition, the association information indicating which diagnostic element each question is related to is also stored.

Diagnostic elements are classified in stages such as major classification, middle classification, and minimum item, and are associated with questions in units of minimum items. And the minimum item is given information that can be grouped for each middle category and each major category. However, there may be a system in which the middle classification is not provided and the upper rank of the minimum item is the major classification.
The correspondence between the question and the diagnostic element is not limited to one-to-one, and one question may be associated with a plurality of diagnostic elements. In addition to the survey data 11B, the association data for holding the association information between the question and the diagnostic element may be provided separately.

As for the type of survey, in addition to the question to the person to be diagnosed, a question to a third party, for example, the boss, a colleague, a subordinate, etc. of the person to be diagnosed is prepared for the purpose of 360-degree evaluation. The answer data to this question is also stored in the survey data 11B as the survey result for the diagnosis target person.
It is also possible to input the content of the answer as a free answer in text, voice, image, or other data formats, and the input data may be stored.

The diagnostic data 11D is a database that stores the result of aggregation by the aggregation processing unit 12C based on the survey data 11B, and the result of the diagnosis processing unit 12D performing the diagnosis of each employee based on the aggregation result and the usage history data 11C. It has employee identification information, diagnostic element identification information, aggregated score, task information, feature information, etc.
The problem is a diagnostic element determined by the diagnosis to be an item that the diagnosis target person should particularly tackle, and the feature is a diagnostic element determined to be an excellent feature of the diagnosis target person.

The content data 11E is a database that stores the diagnostic element and the content as a move in association with each other, and has diagnostic element identification information, content identification information, detailed content information, and the like. The detailed content information includes the title, content / feature, venue, date and time of the content, participation fee, application period, application conditions, and the like.

The correspondence between the diagnostic element and the content is not limited to one-to-one, and may be associated with each other so as to correspond to each other. In addition, the association data for holding the association information between the diagnostic element and the content may be separately provided, and the content data 11E may have the content identification information and the content detailed information. The diagnostic element associated with the content is the minimum item, but may be associated with the diagnostic item of the middle classification.

<< Screen configuration >>
Next, with reference to FIGS. 5 to 9, the screen configuration and screen image of the screen displayed on the user terminal 5 in the system S will be described.
In the present embodiment, the system S is composed of a personal site, an organizational site, and a management / common site. When the user logs in to this system S on the personal login screen common to each site, the personal top screen is displayed, and from the personal top screen, depending on the user's authority, the personal site, the organizational site, and the management / common site can be displayed. It can be displayed and viewed.

The personal site is a site for each employee, and the employee responds to the survey, confirms the analysis result of the survey, confirms the content as a recommended move, and actually It is a site where you can apply for the content you want to experience. As an example, a personal site is composed of a My Page screen, a survey management screen, a My Report screen, a content top screen, a content detail screen, and the like.

The site for organizations is a site used by personnel personnel, managers of line managers and above, etc., and is a site where you can check the diagnosis results of each organizational unit and search for human resources required within the company. As an example, an organization site is composed of an organization diagnosis screen, a human resources search screen, an organization dashboard screen, a detail page screen, and the like.

An example of the personal top screen 21 is shown in FIG.
The personal top screen 21 is a report summary area 21a that displays a summary of the results of analysis / diagnosis of the survey data of the logged-in user, and specifically displays the analysis / diagnosis results for each diagnostic item (also referred to as a diagnostic element). Report detail area 21b, recommended content area 21c that displays recommended content related to the diagnostic element for each diagnostic element based on the diagnosis result, to view the survey management screen that manages survey implementation requests and implementation status. It has a survey management area 21d, etc. The recommended content is, for example, content that is useful for extending the diagnostic element when the diagnostic result is the result of recommending the extension of the diagnostic element of autonomous creativity. In this way, the diagnostic element based on the diagnostic result and the content related to, that is, associated with the diagnostic element are displayed. It should be noted that content may be proposed that is associated with each minimum item in which each diagnostic element is further classified.

An example of the My Report screen 22 is shown in FIG. The My Report screen 22 is displayed by selecting the icon (not shown) "View My Report" from the personal top screen 21.
The My Report screen 22 has a visualization report area 22a that visualizes and displays the user's diagnosis result in more detail using a graph or the like, a diagnosis message area 22b that displays the user's characteristics as a diagnosis result and future points in a message. Each diagnostic element has a recommended content area 22c, etc. that displays recommended content related to the diagnostic element based on the diagnostic result. The recommended content is the same as that of the personal top screen 21.

In the example shown in FIG. 7, in the visualization report area 22a, among the diagnostic elements, the score value and the graph regarding the features of the diagnosis target person and the autonomous creativity (autonomous creativity) which is the diagnosed diagnostic element are displayed. For example, autonomous creativity corresponds to a major classification of diagnostic factors. In addition, score values and graphs of individual diagnostic elements corresponding to the minimum items for diagnosing autonomous creativity are displayed. In this diagnostic element, the middle classification is not set and only the minimum item is set, but when the middle classification is set, the score value and graph of the middle classification are displayed and the middle classification is set. When one item is selected on the screen, the score value and the graph of the minimum item may be displayed by drilling down. In this way, the aggregated results are visualized and shown in an easy-to-understand manner.

An example of the content top screen 23 is shown in FIG. The content top screen 23 is displayed by selecting the icon (not shown) "View content top" from the personal top screen 21 or the My Report screen 22.
The content top screen 23 displays a list of recommended contents related to the diagnostic element in more detail for each diagnostic element based on the diagnosis result of the user. As an example, in the example shown in FIG. 8, there are diagnostic elements such as "strengthening autonomous creativity", "expanding the area of specialty", and "increasing satisfaction with the working environment", and each diagnostic element is recommended in relation to the diagnostic element. Content is displayed.

An example of the content detail screen 24 is shown in FIG. The content detail screen 24 is displayed when the content is selected by the user from the content top screen 23.
The content detail screen 24 is a screen for displaying detailed information of the content selected on the content top screen 23, and displays the content / feature, the venue, the date and time of the event, the participation fee, the usage effect, the application conditions, and the like. .. Information about these contents is obtained from an external content providing system that is registered in advance in the content data 11E or is linked with the system S.
In addition, this screen is linked to the application destination for the displayed content, and if the user wants to participate in the displayed content, he / she can apply immediately by selecting the "Apply / Inquire" icon. There is.

<< Processing of each part of the control unit >>
Next, the processing of each processing unit of the control unit 12 will be described with reference to FIGS. 10 to 12.
The reception unit 12A receives the user's input from the user terminal 5.
The user input is an input operation performed using an input device such as a keyboard, mouse, or touch panel of the user terminal 5, and input character string information.
The reception unit 12A is mainly realized by the processor of the server 1 and the communication interface. The processor of the server 1 receives the user's input from the user terminal 5 via the communication interface.

When the reception unit 12A receives the user's input, the display control unit 12B acquires necessary information from the storage unit 11 according to the information received by the display control unit 12B to generate screen information, and the user terminal 5 It is controlled to be displayed on the display device of. The display control unit 12B is mainly realized by the processor, the storage device, and the communication interface of the server 1.

The aggregation processing unit 12C aggregates and analyzes information such as survey data 11B and usage history data 11C, and generates aggregation results such as various scores. The aggregation processing unit 12C is mainly realized by the processor, the storage device, and the communication interface of the server 1.

FIG. 10 shows an example of the aggregation process executed by the aggregation processing unit 12C.
The aggregation processing unit 12C extracts data to be aggregated, for example, data related to the diagnosis target person from the survey data 11B (step S11), and first calculates an item score for each minimum item of the diagnostic element (step S12).
Specifically, when the minimum item is a question for the employee himself / herself, that is, the person to be diagnosed, the score of the answer is converted to the full score for visualization. If the answer score is "3" with a maximum of 6 points and the visualization score is with a maximum of 10 points, the item score of the minimum item is calculated as "5". The full score on visualization may be 100 points, and in that case, if the answer score is "3", the item score is calculated as "50".
On the other hand, if the minimum item is a 360-degree evaluation item and the survey result is an answer by another person, it is valid when there are multiple answers, for example, two or more answers, and the average value of multiple answers to the same minimum item is calculated. Then, the average value is converted into the full score on visualization to calculate the item score.

Next, the aggregation processing unit 12C calculates the classification score in the case of a diagnostic element having a middle classification (step S13). Specifically, the classification score is calculated from the item scores of a plurality of minimum items associated with the middle classification based on a predetermined calculation method. The predetermined calculation method is, for example, to calculate an average value from a plurality of item scores. Alternatively, the weighting coefficient may be set in advance for each minimum item, and the average value may be calculated from the correction value corrected by multiplying the coefficient for each item score. Alternatively, a weighted average between the middle categories may be calculated.

Next, the aggregation processing unit 12C calculates the total score of the diagnostic elements (step S14). Specifically, the score of the diagnostic element of the major classification is calculated from the classification score or the item score based on a predetermined calculation method. As for the predetermined calculation method, various calculation methods can be used in the same manner as the calculation method of the middle classification.
Then, the aggregation processing unit 12C writes the information regarding each score calculated in each step into a database such as diagnostic data 11D or aggregation data (step S15), and ends the processing.

Each of the above steps is performed for each person to be diagnosed, that is, for each person to be diagnosed when calculating the score for each individual employee, and for all employees in the group when calculating the score for each group. Execute for the survey data of. The group score can be calculated in each step of item score calculation, classification score calculation, and total score calculation, for example, by calculating the average value of the scores of all the individuals in the group.
Each score calculated by the aggregation processing unit 12C in this way can be inquired in the My Report for each individual or the Group Report for each group.

The diagnostic processing unit 12D makes a diagnosis for each employee based on the total result collected by the total processing unit 12C, and generates a diagnosis result for each diagnostic element. The diagnostic processing unit 12D is mainly realized by the processor, the storage device, and the communication interface of the server 1.

FIG. 11 shows an example of diagnostic processing executed by the diagnostic processing unit 12D.
The diagnostic processing unit 12D extracts data to be diagnosed, for example, data related to the person to be diagnosed from the diagnostic data 11D (step S21). Then, referring to the scores for each diagnostic element of the subject to be diagnosed, the classification score of the middle classification under the major classification is relatively low for each major classification, that is, the classification score is low among the subject and the major classification. A middle-class diagnostic element is extracted, and the diagnostic element is determined to be a "problem" that the person to be diagnosed should tackle in the future (step S22). Next, referring to the scores for each diagnostic element of the subject to be diagnosed, the classification score of the middle classification under the major classification is relatively high for each major classification, that is, the classification score of the subject and the major classification is A diagnostic element of a high middle classification is extracted, and the diagnostic element is determined to be an excellent element of the person to be diagnosed, that is, a "feature" (step S23).

As the target to be extracted as a task and a feature, the diagnostic element having the lowest score and the diagnostic element having the highest score may be extracted one by one, or a plurality of diagnostic elements of each of the lower and upper ranks such as the lower two and the upper two may be extracted. It may be extracted.
Then, the diagnostic processing unit 12D adds the information to the diagnostic element determined to be a problem or a feature, writes the information in the diagnostic data 11D (step S24), and ends the process.

In addition, instead of the middle classification of diagnostic elements, it is also possible to perform the determination process of the problem and the feature for the minimum item. For example, in the case of a diagnostic element for which the middle classification is not set, the same judgment is made for the minimum item under the major classification. That is, it is determined that the minimum item of the lower predetermined number having a relatively low score is a task, and the minimum item of the upper predetermined number having a relatively high score is a feature.

The recommendation processing unit 12E controls to acquire the content associated with the diagnostic element from the content data 11E based on the diagnosis result generated by the diagnostic processing unit 12D and display it on the user terminal 5. The display on the user terminal 5 is performed via the display control unit 12B. The recommendation processing unit 12E is mainly realized by the processor, the storage device, and the communication interface of the server 1.

FIG. 12 shows an example of the recommendation processing executed by the recommendation processing unit 12E.
The recommendation processing unit 12E extracts the data to be processed, for example, the data related to the diagnosis target person from the diagnosis data 11D (step S31), and selects the diagnostic element registered as the problem of the diagnosis target person from the data (step S31). Acquire (step S32). Next, the content data 11E is referred to based on the diagnostic element registered as an issue, the content information (content detailed information) associated with the diagnostic element is acquired (step S33), and the control is displayed on the user terminal 5. (Step S34), and the process is terminated. When the user selects the content, the content inquiry process, application process, and the like may be continuously performed.

The loop processing unit 12F controls to repeatedly execute each of the above processes. The loop processing unit 12F is mainly realized by the processor, the storage device, and the communication interface of the server 1.

By operating each of the above processing units in cooperation, the content associated with the diagnostic element is displayed on the personal top screen 21, the my report screen 22, and the content top screen 23 for each diagnostic element based on the user's diagnostic result. , Displayed to users as recommended content.
Then, by applying for the content that the user wants to participate in and experience, and experiencing and implementing the content, autonomous creativity can be enhanced, individual performance is improved, and eventually the company grows.

In addition, the information that is the basis for determining the content to be recommended to the user is not directly linked to the score as the survey result, but is diagnosed based on the survey result, and the content is determined based on the diagnosis result. Therefore, it is possible to propose content that more appropriately matches the elements to be extended by the user.

As described above, the corporate transformation system, the corporate transformation method, and the corporate transformation program of the present invention are realized. This will help working people to continue to shine autonomously and bring together the power of such shining people to achieve sustainable corporate growth that is supple, dynamic and sustainable. ..

1 Server 5 User terminal 11 Storage unit 11A Employee data 11B Survey data 11C Usage history data 11D Diagnostic data 11E Content data 12 Control unit 12A Reception unit 12B Display control unit 12C Aggregation processing unit 12D Diagnostic processing unit 12E Recommendation processing unit 12F Loop processing Department 21 Personal top screen 21a Report summary area 21b Report detail area 21c Recommended content area 21d Survey management area 22 My report screen 22a Visualization report area 22b Diagnostic message area 22c Recommended content area 23 Content top screen 24 Content detail screen S Corporate transformation system NW Communication network

Claims (5)

A storage unit that stores survey data that accumulates survey results for a person to be diagnosed, and content data that stores content associated with the diagnostic element for each diagnostic element.
An aggregation processing unit that aggregates the survey data,
A diagnostic processing unit that performs a diagnosis for each diagnosis target person based on the aggregation result aggregated by the aggregation processing unit and generates a diagnosis result for each diagnostic element.
Based on the diagnosis result generated by the diagnostic processing unit, the recommendation processing unit that acquires the content associated with the diagnostic element from the content data and displays it on the user terminal.
A corporate transformation system characterized by being equipped with. The survey data stores a score indicating an answer to a question as a result of the survey.
The corporate transformation system according to claim 1, wherein the aggregation processing unit aggregates the score of the survey data for each diagnosis target person and for each diagnosis element. The diagnosis processing unit determines the problem of the diagnosis target person based on the score aggregated by the aggregation processing unit.
The corporate transformation system according to claim 2, wherein the recommendation processing unit acquires content associated with a diagnostic element determined to be a problem by the diagnostic processing unit from the content data. It is a corporate transformation method using a server equipped with a storage unit that stores survey data that accumulates survey results for the person to be diagnosed and content data that stores content associated with the diagnostic element for each diagnostic element.
An aggregation step in which the server aggregates the survey data,
A diagnostic step in which the server performs a diagnosis for each diagnosis target person based on the aggregation result aggregated in the aggregation step and generates a diagnosis result for each diagnostic element.
Based on the diagnosis result generated in the diagnosis step, the content associated with the diagnosis element is acquired from the content data and displayed on the user terminal.
How to transform your company, including. A computer equipped with a storage unit that stores survey data that accumulates survey results for a person to be diagnosed and content data that stores content associated with the diagnostic element for each diagnostic element.
The aggregation procedure for aggregating the survey data and
A diagnostic procedure in which a diagnosis is performed for each person to be diagnosed based on the aggregated results aggregated in the aggregated procedure and a diagnostic result is generated for each diagnostic element.
A corporate transformation program for executing a recommendation procedure for acquiring content associated with the diagnostic element from the content data and displaying it on a user terminal based on the diagnostic result generated in the diagnostic procedure.

Images