JP2010257031A - Organization power diagnostic system, organization power diagnostic method and server program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a system for presenting a concrete action guideline to an individual or an organization by deciding a systematized action pattern based on a mental factor from a selective answer to a question sentence. <P>SOLUTION: The organization power diagnostic system includes a storage device storing DBs accumulating question sentences for evaluating a mental factor and predetermined comments. The system determines an action pattern X to which the individual belongs by combining two kinds of relations between two specific different factors based on an answer kind point added to one answer result, determines an action pattern Y to which a group belongs by combining two kinds of relations between two specific different factors based on an average value on the basis of mental factor-specific points of a plurality of answer results, and extracts each predetermined comment based on the action patterns X and Y. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention determines the values and behavior patterns to which the respondent has, based on the answer results to the question sentence that evaluates the mental factors that form the values, and presents appropriate action guidelines. The present invention relates to an organizational strength diagnosis system, an organizational strength diagnostic method, and a server program that compare and judge the values and behavior patterns of supervisors and subordinate groups composed of respondents and show optimum behavior guidelines in the organizational management.

  In companies, various efforts have been made so far, focusing on the individuality and characteristics of employees and assuming that the optimal personnel assignment is indispensable for improving organizational capabilities.

  In general, it is not easy for others to measure and know a person's personality and characteristics. Conventionally, when deciding personnel changes or placement, the experience value of a boss who has the right to make a decision tends to occupy a large weight, depending on the actual results or the usual relationship. However, if the decision-making authority is entrusted to a superior who does not have the ability to make accurate human resource judgments, appropriate personnel changes and placement decisions cannot be made. Even if a boss has the ability to make accurate human resource judgments, it is difficult for employees and new employees who haven't had a proven track record to find the right person in the right place.

  On the other hand, although various efforts have been made to consider the aptitude of the individual to be assigned at the time of personnel changes and placement decisions, the organizational strength of the departmental organization after the change or after placement, or newly launched It is extremely difficult to predict in advance the organizational capabilities of project groups, new stores, etc., and these organizational capabilities are rarely the determinants of personnel changes and placement.

  A technique using a computer that has already been made public and that uses a human resource assessment (preliminary impact assessment) related to job performance as an information providing tool is disclosed (for example, see Patent Document 1).

  This invention is a computer-based technology characterized by focusing on the relationship between companies and employees, that is, organizations and individuals. By selecting options for each question, the characteristics of people can be observed over multiple items. The results obtained by answering people who have been selected in advance to form a group called “sample group” with respect to the possible question collections are tabulated and stored as “reference statistics”. In the measurement based on the answers of the examinees other than the sample group, the system calculates the tendency value based on the reference statistic, and quantifies and graphs each item.

JP 2001-31579 A

  In the above-mentioned document, “the digitized data was obtained from the standard statistic so that the reliability can be obtained.” (0009), “For example, if the sample means is composed of employees of a public company class, it is balanced over all measurement items. It is possible to set a high-quality reference value, and it is easy to set an effort target when the examinee looks at his / her own measured value ”(“ 0024 ”).

However, even if it is a public company class employee, there are ten people and colors, and it can not be said that it is just an employee with the qualities of a specimen. In addition, there is no specific relationship between the public company that became the sample group and the company (organization) to which the examinee belongs.
Therefore, there is room for doubt about setting this as an effort target.

  Each organization grows and changes individually under various circumstances such as its scale and corporate culture, and even if it reaches the employees belonging to this, it is also influenced by the organization to which it belongs, It cannot be said that the tendency value measured on the basis of the sample group according to the invention described in the above literature is reliable.

  Furthermore, as is apparent from the fact that the invention described in this document is based on the diagnosis results of employees of public company class, the concept of human values and behavior patterns is not “systematized”.

  And the invention described in the said literature has not realized until the place which shows an action guideline with respect to the said organization paying attention to the individuality and characteristic of the individual who comprise an organization.

  In addition, since the output results according to the invention described in the document remain in the form of numerical values and graphs about the items, the examinee does not know how to act specifically by just looking at the output results. Means to increase the independence of the examinee through various training such as “basic group training”, “target management training”, and “manager training for strengthening subordinate leadership skills”, as recognized by the inventors of the technology described in the literature There is room for improvement in terms of

  The invention described in this document employs a method of selecting a question that applies to a question from a plurality of options (“0022”, FIG. 2). Assigned. However, this answer of “Neither” means that the patient is unable to make a judgment on the question, and simply replacing it with a single value will change the characteristics of the patient. It must be said that it is difficult to grasp deeply.

  The inventor of the present application has analyzed a huge number of questionnaire results that have been carried out over many years, and found that there is a certain behavior pattern among the behavior patterns that can be taken by humans through subsequent interviews and consultations. Therefore, we worked on the systematization and compiled the action guidelines that are optimal and suitable for each action pattern and successfully created a database.

  Therefore, the present invention forms a sense of value for things and human relationships as a result of daily research and development to establish a method for accurately judging which behavior pattern a patient belongs to using a computer system. One of the objects of the present invention is to determine a behavior pattern to which the examinee belongs by performing a predetermined calculation on an answer to a question sentence that evaluates a mental factor to be performed and to present a comment indicating the behavior guideline. To do.

  In addition, this concept is applied to “organization”, which is a set of individuals, to determine the behavioral pattern as an organization and to consider the values and behavioral patterns of the individuals that make up the organization, The task is to present a comment indicating specific action guidelines.

  The present inventor found that in determining which behavior pattern an individual belongs to, this is dependent on values for things and human relationships. And a plurality of specific mental factors that are the basis of the behavior pattern (for example, strictness), and a question sentence for evaluating the factors is created for each factor. However, if a predetermined point is given to the obtained answer type of the selection formula and the total is collected, it is only possible to know a numerical tendency about a specific mental factor, and an action pattern cannot be determined. Then, it was made into the subject to determine the action pattern which belongs by comparing the aggregation between each mental factor made into a point, and performing predetermined calculation.

  In addition, when adopting a multiple-choice answering method, there are always unclear answers, such as “Neither” or “△”, that are included options, and it is difficult for the examinee to make his judgment. It is an object of the present invention to provide a system capable of performing diagnosis in consideration of such a mental state by interpreting the above as a state of mental insecurity and performing a predetermined calculation by a computer system.

  In order to solve the above problems, the present invention has the following configuration. That is, the organizational strength diagnosis system according to claim 1 includes a client terminal and a server device connected via the Internet, and is an organizational strength diagnostic system that diagnoses based on individual values and behavior patterns. Question DB for assessing mental factors that form values and attribute information associated therewith, an answer table for recording responses to the question sentences, and by psychological factors set for each point A storage device storing a psychological factor DB that accumulates comments α1, a behavior pattern DB that accumulates comments β set for each behavior pattern, and a combined behavior pattern DB that accumulates comments γ set based on a combination of two behavior patterns An answer table call for receiving a request from a client terminal and calling the answer table A question sentence calling means for calling a predetermined question sentence, an answer recording means for recording, in the answer table, a selection type answer sent from the client terminal to the called question sentence, and the answer recorded A reply table storage means for storing the reply table as a reply table in the storage device in a freely callable manner, and a request from the client terminal received and specified from the reply tables stored in the storage device Selection means for selecting the answer completed table, point grant means 1 for assigning preset points to the answer type based on the selected specific answer completed table, and summing up by mental factor, and the summed points Action pattern determination that determines action pattern X by combining two kinds of magnitude relationships between two different factors based on In response to the request from the client terminal and the plurality of answered tables selected by the table selecting means, based on the mental factor-specific points of each answered table given by the point assigning means 1, The point assigning means 2 for calculating an average value for each mental factor in a plurality of answered tables, and the action pattern Y is determined by combining two kinds of magnitude relationships between two different factors based on the average value. A predetermined comment α1 is extracted from the mental factor DB on the basis of the behavior pattern determination unit 2 and a request from the client terminal in response to a request totaled by the point grant unit 1, and is determined by the behavior pattern determination unit 1 Based on the action pattern X made, a predetermined comment β is extracted from the action pattern DB, and the line Comment extracting means for extracting a predetermined comment γ from the combined action pattern DB based on the action pattern Y determined by the pattern determining means 2 and the action pattern X determined by the action pattern determining means 1; Distributing the chart creation means for creating a chart based on the mental factor-based points calculated by the grant means 1 and / or calculated by the point grant means 2, and the extracted comments and / or the created chart And a distribution means.

  The organizational strength diagnosis system according to claim 2 is the configuration according to claim 1, wherein the selection type of answer type includes three types of “affirmation”, “deny”, and “neither”, and requests from the client terminal In response, when the point granting means 1 gives a preset point to the answer type based on the specific answered table selected by the table selecting means, and totals by answering factor, If the point correction means determines that the number of responses for “None” for each psychological factor has reached a certain number or more based on the aggregated result, the points set in advance for the response type The point giving means 1 re-aggregates by mental factor using the corrected points, and the comment extracting means is corrected after the correction. A predetermined comment α2 corresponding to the count have been points and extracting from said mental factors DB.

The organizational force diagnosis system according to claim 3 is the configuration according to claim 1, wherein the selection type of answer type includes three types of “affirmation”, “deny”, and “neither”, and requests from the client terminal In response, when the point granting means 1 gives a preset point to the answer type based on the specific answered table selected by the table selecting means, and totals by answering factor, If the point correction means determines that the number of responses for “None” for each psychological factor has reached a certain number or more based on the aggregated result, the points set in advance for the response type The point granting means 2 re-counts by mental factor using the corrected points, and the behavior pattern determining means 1 Based on the total has been mental factors specific point, the magnitude relationship between certain of two different factors, and determines the action pattern X by combining two,
The point assigning means 2 assigns a preset point to the answer type based on each of the plurality of answered tables selected by the table selecting means, and then sums up the mentality of the plurality of answered tables. When calculating the average value for each factor, the response type is aggregated, and the point correction means that the number of responses for “None” for each mental factor has reached a certain number or more based on the aggregation result. If it is judged, the answer type is corrected so as to give twice the preset point, and the point giving means 2 re-uses the average value for each mental factor using the corrected point. The action pattern determination means 2 determines the action pattern Y by combining two kinds of magnitude relationships between specific different two factors based on the recalculated average values for each mental factor. And wherein the Rukoto.

  The organizational strength diagnosis method according to claim 4 is a method for diagnosing organizational strength based on individual values and behavior patterns using a client terminal and a server device connected via the Internet, wherein the server device includes: , A question DB consisting of a question sentence for evaluating mental factors that form values and attribute information associated therewith, an answer table for recording answers to the question sentence, and a mind set for each point A mental factor DB that accumulates comments α1 for individual factors, an action pattern DB that accumulates comments β set for each behavior pattern, and a combined behavior pattern DB that accumulates comments γ set based on a combination of two behavior patterns And receiving a request from the client terminal, the answer table calling means calling the answer table; A step in which a question sentence calling unit calls a predetermined question sentence, a step in which an answer recording unit records a selection type answer to the question sentence transmitted from a client terminal in the answer table, A step of storing the answer table in which the answer is recorded as a answered table in the storage device, and a request from the client terminal, and the table selection means has received the answer stored in the storage device The step of selecting a specific answered table from the table, and the point giving means 1 gives a preset point to the answer type based on the selected specific answered table, and tabulates by mental factor Based on the step and the totaling point, the behavior pattern determination means 1 determines the magnitude relationship between two specific different factors. A step of determining the action pattern X by combining the two types, and a request from the client terminal, the point giving means 2 gives the plurality of answered tables selected by the table selecting means by the point giving means 1 A step of calculating an average value for each mental factor in the plurality of answered tables based on the psychological factor points of each answered table, and based on the average value, the behavior pattern determination means 2 Based on the result obtained by the comment extraction means receiving the request from the client terminal through the step of determining the action pattern Y by combining two kinds of magnitude relations between two different factors, and by the comment extraction means being aggregated by the point grant means 1 Extracting a predetermined comment α1 from the mental factor DB; and the action pattern Based on the behavior pattern X determined by the determination means 1, the step of extracting a predetermined comment β from the behavior pattern DB, the behavior pattern Y determined by the behavior pattern determination means 2, and the behavior pattern determination means 1 Based on the determined action pattern X, a step of extracting a predetermined comment γ from the combined action pattern DB and a chart creation means are aggregated by the point giving means 1 and / or calculated by the point giving means 2 Based on the mental factor-specific points, a step of creating a chart and a distribution means include the step of distributing the extracted comment and / or the created chart.

  The organizational strength diagnosis method according to claim 5 is the configuration according to claim 4, wherein the selection type of answer type includes three types of “affirmation”, “deny”, and “neither”, and requests from the client terminal In response, when the point granting means 1 gives a preset point to the answer type based on the specific answered table selected by the table selecting means, and totals by answering factor, And when the point correction means determines that the number of responses for “Neither” is more than a certain number for each psychological factor based on the aggregated result, the response type is set in advance. A step of correcting to give twice as many points as the above-mentioned points, a step in which the point giving means 1 recounts by mental factor using the corrected points; Instrument extraction means, characterized by comprising the step of extracting a predetermined comment α2 corresponding to aggregated points after the correction from the mental factors DB.

  The organizational force diagnosis method according to claim 6 is the configuration according to claim 4, wherein the selection type of answer type includes three types of “affirmation”, “deny”, and “neither”, and requests from the client terminal In response, when the point granting means 1 gives a preset point to the answer type based on the specific answered table selected by the table selecting means, and totals by answering factor, And when the point correction means determines that the number of responses for “Neither” is more than a certain number for each psychological factor based on the aggregated result, the response type is set in advance. A step of correcting to give twice as many points, and a step in which the point giving means 2 recounts by mental factor using the corrected points; The dynamic pattern determining means 1 includes a step of determining an action pattern X by combining two kinds of magnitude relationships between two different factors based on the recalculated points by mental factor, and the points The assigning means 2 assigns points set in advance to the answer type based on each of the plurality of answered tables selected by the table selecting means, and after summing up, for each of the plurality of answered tables, classified by psychological factor When calculating the average value, the step of counting the response type and the point correction means that the number of responses for “None” for each mental factor has reached a certain number or more based on the counting result If it is determined, the step of correcting the answer type so as to give twice as many points as the preset points; Re-aggregating the average value for each mental factor using the corrected points, and the behavior pattern determining means 2 is based on the re-aggregated average value for each mental factor between specific different two factors. And determining a behavior pattern Y by combining two kinds of magnitude relationships.

  The server program according to claim 7 is a program that is executed in a server device connected to a client terminal via the Internet, and is associated with a question sentence that evaluates mental factors that form values. A question DB composed of attribute information, an answer table for recording answers to the question sentence, a mental factor DB storing mental factor-specific comments α1 set for each point, and a comment β set for each behavior pattern In response to a request from a client terminal, a server device having a storage device having an accumulated behavior pattern DB and a combined behavior pattern DB in which a comment γ set based on a combination of two behavior patterns is stored, and the response table is called An answer table calling means, a question sentence calling means for calling a predetermined question sentence, and a query An answer recording means for recording a selection type answer to the question sentence transmitted from the client terminal in the answer table, and an answer table in which the answer is recorded is stored in the storage device as an answered table. An answer table storage means, a table selection means for receiving a request from the client terminal and selecting a specific answer table from the answer tables stored in the storage device, and the selected answer answer Based on the table, points given in advance to the response type, and the point granting means 1 for summing up by mental factor, and the action by combining two kinds of magnitude relations between two different factors based on the summed points Action pattern determining means 1 for determining the pattern X, and a table selecting means in response to a request from the client terminal The average value for each mental factor in the plurality of answered tables is calculated based on the mental factor points of each answered table given by the point granting unit 1 for a plurality of selected answered tables. Receiving the request from the client terminal, the behavior pattern determining means 2 for determining the behavior pattern Y by combining two kinds of magnitude relations between two different factors based on the average value, A predetermined comment α1 is extracted from the psychological factor DB based on the result totaled by the point granting means 1, and a predetermined value is extracted from the behavior pattern DB based on the behavior pattern X determined by the behavior pattern determination means 1. While extracting the comment β, the behavior pattern Y determined by the behavior pattern determination means 2 and the line Based on the action pattern X determined by the pattern determining means 1, comment extracting means for extracting a predetermined comment γ from the combined action pattern DB, and the point giving means 1, and / or the point giving means 2 It is made to function as a chart creation means which creates a chart based on the point according to the mental factor calculated by the above, and a delivery means which delivers the extracted comment and / or the created chart.

According to an eighth aspect of the present invention, in the configuration of the seventh aspect, the server program includes, from the client terminal, a server device having three types of answer types of “Yes”, “No”, and “Neither”. Point granting means 1 for summing up answer types when a request is given and points set in advance are assigned to answer types based on a specific answered table selected by the table selection means And when it is determined that the number of responses for “Neither” is more than a certain number for each psychological factor based on the result of the aggregation, the number of points that is twice the preset point for the response type is determined. Point correction means for correcting to give,
It functions as point giving means 1 for re-counting by mental factor using the corrected points, and comment extracting means for extracting a predetermined comment α2 corresponding to the points calculated after the correction from the mental factor DB. It is characterized by that.

  According to a ninth aspect of the present invention, in the configuration of the seventh aspect, the server program includes, from the client terminal, a server device having three types of answer types of “Yes”, “No”, and “Neither”. The point granting unit that counts the answer type when the request is given and the preset point is given to the answer type based on the specific answered table selected by the table selection unit, and is tabulated by mental factor 1 and if it is determined that the number of responses to “Neither” is more than a certain number for each psychological factor based on the total result, the number of points that is twice the preset point for the response type Point correction means for correcting to add the point, the point giving means 2 for recounting by mental factor using the corrected points, and the recalculated point for each mental factor Based on the above, it is possible to function as the behavior pattern determining means 1 that determines the behavior pattern X by combining two kinds of magnitude relations between two different specific factors, and a plurality of answered tables selected by the table selecting means. Based on each of the above, the point providing means 2 for adding the points set in advance to the answer type and summing up, and then summing up the answer types when obtaining the average value for each mental factor for the plurality of answered tables And when it is determined that the number of responses for “Neither” is more than a certain number for each psychological factor based on the result of the aggregation, the number of points that is twice the preset point for the response type is determined. Point correcting means for correcting to give, point giving means 2 for reaggregating the average value for each mental factor using the corrected points, Based on the aggregated mental factors by the average value, and wherein function as an action pattern determining means for determining the behavior patterns Y by combining two of the magnitude relationship between certain different two factors.

  According to the present invention, it is possible to determine which of the systematized behavior patterns belongs because it is based on the answer result to the question sentence that evaluates mental factors that form values for things and human relationships. At the same time, it is possible to show an optimum and specific action guideline for each action pattern. And since the action guidelines are based on systematized behavior patterns and are not based on numerical values obtained from specific examinees who are not related to the examinees such as employees of large companies, It is more objective.

  Then, by comparing and judging the values and behavior patterns of the bosses and subordinate groups of the organization composed of respondents, it is possible to provide optimum and specific behavior guidelines in the organization management.

  When adopting a multiple-choice selection-type answering method, the answers that the examinee himself feels difficult to make his judgment, such as “Neither” or “△”, are included. By assuming a state of mental anxiety and performing a predetermined calculation by a computer system, it is possible to perform a diagnosis in consideration of this in personal analysis or organizational strength analysis.

The figure which shows an example of the screen where the personal analysis result is displayed Schematic diagram showing the mode of use of the present invention The block diagram which shows the system of this invention The figure which shows the mechanism of DB in the auxiliary storage device Diagram showing the mechanism of the mental factor DB The figure which shows the data table where comment γ is stored Flow chart showing the flow of consultation The figure which shows an example of the screen where the question sentence is displayed Figure showing the answer table Figure showing the answered table Flow diagram showing the mechanism leading to the display of comment α1 The figure which shows an example in which comment (alpha) 1 was displayed Flow diagram showing the mechanism leading to the display of comment β The figure which shows an example where comment β is displayed The figure which shows an example where comment β is displayed Flow diagram showing the mechanism leading to the display of comment γ Diagram showing screen for detailed setting in organizational analysis The figure which shows an example that comment γ is displayed The figure which shows an example of the screen where the organizational strength analysis result (formal) is displayed Flow chart showing the flow of processing for the point correction means to function in personal analysis Figure showing contents such as answer results The figure which shows an example in which comment (alpha) 2 was displayed Flow chart showing the flow of processing for the point correction means to function in organizational force analysis The figure which shows an example of the screen where the organizational strength analysis result (informal) is displayed

A first embodiment of the present invention will be described with reference to FIGS.
The organizational strength diagnosis system according to the present invention comprises a client terminal 18 and a server device 16 connected via a communication network 19 such as the Internet, an intranet, or an extranet (FIG. 2). By inputting “○”, “△”, “×” selection type answers to the question texts to be evaluated, individual values and behavior patterns are judged, comments based on the evaluation of mental factors, and appropriate action guidelines This is a system that presents the best behavior guidelines in the organization management by comparing and judging the values and behavior patterns of the supervisors and subordinate groups composed of respondents.

  The server device 16 includes a hardware group necessary for executing a desired processing program on a computer system (FIG. 3). That is, a central processing unit (hereinafter referred to as CPU) 10, a main storage device 11, an auxiliary storage device 12, an input device 13, and an output device 14 are connected via a bus 16 so that data can be transferred. As a distribution means, a modem, TA (Terminal Adopter) and other similar communication devices 15 necessary for data communication with the client terminal are provided. With this configuration, necessary data is transmitted to and received from the client terminal.

The CPU 10 includes a control unit and a calculation unit (not shown). The control unit extracts and decodes each instruction of the processing program stored in the main storage device, and controls execution and data control according to the instruction. The input / output control and the like are performed, and the calculation unit performs all calculation processes.
The main storage device (main memory) 11 stores a program, data related to the program, and an intermediate calculation result.
The auxiliary storage device 12 is a hard disk, other magneto-optical disk, USB memory, or other hardware that performs similar storage processing. As shown in FIG. 4, a question database (hereinafter referred to as DB), which will be described later, or a comment α. Are stored, a psychological factor DB accumulating comments, an action pattern DB accumulating comments β, a comment DB having a combined action pattern DB accumulating comments γ, an answer table, and an answered table.

  In addition, an input device 13 and an output device 14 that are normally used when using a computer system are provided. The input device 13 has a keyboard, a mouse, a pen tablet, a touch panel, a voice input device, and other functions for inputting data to the computer. This device is used for maintenance and management of the server device 16, data input, and change. The output device 14 refers to a device that outputs data processed in a computer such as a display, a printer, and a speaker as information that can be recognized by a human.

  The client terminal 18 is a personal computer, a personal digital assistant (PDA) called personal digital assistant, or the like, and a terminal having a function capable of data communication with the server device 16 via a communication network such as the Internet. Refers to the device. Note that the mobile phone 17 may be used instead of the client terminal 18 (FIG. 2).

  With the system configuration described above, calling an answer table, recording an answer table, storing an answer table, selecting an answer table, assigning and counting points related to mental factors, determining action patterns X and Y The processing necessary for the implementation of the present invention, such as calculation of average values for each mental factor based on a plurality of answer tables, extraction of comments α1, β, γ, creation of charts and distribution of comments and charts, is realized.

  The “mental factor” that forms values in the present invention refers to a factor that is the basis of an action pattern of what kind of action a person takes when dealing with things. The following factors were identified. Points are given to the answer results by the predetermined calculation processing described later, and detailed comments according to the point values are presented, but from the number of points of each factor, as shown below, the tendency Can read strength and weakness.

"Strictness": Value standard for rules and rules.
Point “High”: Strong awareness of instructions and orders from superiors.
Point "Low": Awareness of adherence to decisions is weak, and there is a strong tendency to be good if it is in time.

“Acceptance”: A value standard for kindness and compassion.
Point "High": Take care more than necessary, speak something, or care about it.
Point "Low": Lack of consideration and attention, even if you are aware, do not focus on your attitude and behavior.

"Logic": A value standard for facts, data, and rules of thumb.
Point “High”: Emphasizes objective and realistic matters such as data and facts when understanding and judging things.
Point “Low”: There is a strong tendency to understand or judge based on sensibility and sensation and based on his / her own experience.

“Openness”: A criterion for measuring brightness and expressiveness.
Point "High": Strong response to fun and unusual things. Because there are many words, people can see it brightly and cheerfully.
Point "Low": Poor expression, do not talk more than necessary. Give a gentle impression.

“Complementary”: A criterion for measuring the strength of cooperation and self-responsibility.
Point "High": There are places where people are concerned about the evaluation from the surroundings and they are compliant with the public.
Point "Low": There is a place that I reopened that I should take responsibility.

  The “question sentence for evaluating a mental factor” means a question sentence prepared for measuring the tendency of each mental factor. For example, there is an example of strictness: “I should often use the words that I should do.” Similarly, we often use the words “accepted even if something is unpleasant” for acceptability, “observe human behavior objectively” for logic, and “wow, amazing, hey ~” for openness. ”, And examples of complementation,“ I want to like people. ”

  The “attribute information” is information that associates each question sentence with the type of factor, and each question sentence is given an identifier that indicates which factor the question sentence belongs to.

  The “question DB” is a database in which a question sentence is stored in the auxiliary storage device 12 together with the attribute information. In addition, well-known DBMS (Database Management System) is utilized for management and operation | use of DB including various DB (database) mentioned later.

“Answer table” is a table that records the contents of the answers from the examinees and makes it possible to count them by answer type. Upon receipt, a blank answer table according to a request from the client terminal 18 (FIG. 9). Is called from the storage device, and is ready for recording. Then, the server device 16 that has received the answer from the examinee records one answer type of “◯ (YES)”, “△ (Neither)”, and “× (NO)” for each question text. (FIG. 10).
As for the answer recording method, for example, a form in which one answer type data is added to a specific question sentence and psychological factor attribute information associated therewith, if it can be called later, it will be in a table form. Not limited.

“Comment α1 by mental factor set for each point” is a comment representing a diagnosis result based on each factor stored for each predetermined point for each mental factor as shown in FIG. The comment content strongly expresses the characteristics of the factors as the points get higher. For example, when 13 to 15 points are calculated for strictness, “comment E” expressing the strictness characteristics more strongly than “comment D” is recognized as the corresponding comment α1.
Here, the comment α1 refers to a “formal comment” (upper part of FIG. 5) that captures the characteristics of each mental factor used in the present embodiment as “positive”. The comment α2 (“informal comment”) (the lower part of FIG. 5) that captures the characteristic of “Negative” is stored separately in the mental factor DB.
Note that the storage method is not limited to this as long as formal comments and informal comments can be extracted according to the number of points.

“Behavior pattern” means a behavior pattern systematized based on the results of a questionnaire conducted by the inventor for many years. Specifically, “Offence (hereinafter referred to as OF)”, “Challenge (hereinafter referred to as“ OF ”). , “CH”), “Balance (hereinafter referred to as BA)”, and “Defense (hereinafter referred to as DE)”.
In this embodiment, “behavior pattern X” is based on one answered table, that is, an action pattern to which one individual belongs, and “behavior pattern Y” is based on a plurality of answered tables, that is, at the time of organizational power analysis. It refers to the behavior pattern determined based on the average value of the subordinate group shown. The outline of each action pattern is described below.

  “OF”: Sensitive to changes in the environment and leading friends. I like new things. Has a short-term or short-time concentration. Excellent information gathering ability and easy to be interested in anything. The first impression is good and the situation response is good.

  “CH”: A type that has a strong spirituality and a sense of mission, and that changes. Challenge boldly to be at risk. There is a strong tendency to work from a long-term perspective. Entrepreneurship is strong. There is a strong awareness that once a decision has been made, it must be accomplished. I often divide the venue before long. I like to make everything myself, and I don't like being given something. Good at thinking and acting on what others are not doing.

  “BA”: A type that is well managed and coordinated and has good perception. Looks nice to the eye. You can take the other person like you. Give your originality after getting used to the environment. There is a tendency to think too much about people. Be cautious.

  “DE”: A type that faithfully implements value standards and norms. Make good use of the manual. Have a commitment to everything. It is an engineer thinking and has a strong craftsmanship. I have my own shape and style, and I don't want to be out of it. It ’s solid and it ’s all about things. It does not change what was decided once. There is no compromise.

The “comment β evaluated for each behavior pattern” refers to a comment representing the result of detailed diagnosis based on each of the behavior patterns. For example, in the case of the above-mentioned OF, “It is sensitive to changes in the environment and is good at making friends with the type that leads the friends. There is a short-term or short-time concentration. However, it is limited to those who are interested. We are vulnerable to phrases such as new products and limited products.The information gatherer is a suitable person.The interpersonal response is good.I like and dislike people, but sometimes it is too clear. The comment “I like the job” (FIG. 14) is preset.
Furthermore, under the title “Generation Self-Coaching”, action guidelines for each age suitable for each action pattern are set in advance as effort targets in a specific action pattern (FIG. 15).

The “comment γ based on a combination of two behavior patterns” will be described. First, “two behavior patterns” indicate two behavior patterns of a supervisor and a subordinate group in an organizational ability analysis described later. The “comment γ” is a content that represents an optimum and specific action guideline when both action patterns are combined in consideration of the characteristics of both action patterns (FIG. 18). The comment γ is created in advance by the number of combinations of two action patterns of the boss and the subordinate group (FIGS. 6 and 16), and stored in advance in the action pattern DB in the comment DB in the auxiliary storage device in a table format. Is. The table format is not limited as long as it can be called later.

The “answer table calling means” is a program in which the server device 16 that has received a request from the client terminal calls, from the auxiliary storage device 12, an answer table (FIG. 9) in which no answer has yet been recorded prior to the start of consultation. The process by.
Note that it is also possible to call the previous answered response table (FIG. 10) for the second visit of the same person and overwrite the answer at the time of a new visit. Alternatively, the previous answer table may be stored and the answer may be recorded in a new answer table. However, it is necessary to provide the selection means, and when the new answer table is recorded. Need to be provided with means for assigning an identifier or the like separately for the same person table and a table different from the previous table.

  “Question sentence calling means” refers to processing by a program in which the server device 16 that has received a request from a client terminal calls a predetermined question sentence from the question DB.

  “Answer recording means” refers to processing by a program in which the server device 16 records the answer sent from the client terminal in the answer type column of each question in the answer table (FIG. 9).

  The “answered table storage means” means that the server device 16 that has received the answers to all questions recorded in the answer type column of each question in the answer table by the answer recording means serves as the answer table. The process by the program memorize | stored in the memory | storage device 12 so that calling is possible.

“Table selection means” refers to processing by a program in which the server device 16 that has received a request from the client terminal selects a specific answered table from the answered tables already stored in the auxiliary storage device 12. .
When one examinee has visited a plurality of times, the most recent answer table is selected, but any answer group may be selected.

“Point giving means 1” refers to processing by a program in which the server device 16 gives a predetermined point to the answer type based on the specific answered table selected by the table selecting means.
Specifically, the response type is pre-weighted points, that is, in this embodiment, “◯” is “2 points”, “Δ” is “1 point”, “×” is “0 points”, A process by a program that is given to a specific answered table selected by the selection means and totals by mental factor.

The “behavior pattern determining means 1” means that the server device 16 combines two kinds of magnitude relations between “specific two different factors” based on the result of each mental factor obtained by the point giving means 1. This means processing by a program for determining the behavior pattern X.
Specifically, the magnitude relationship between “strictness” and “acceptability” and the magnitude relationship between “openness” and “complementary” are as follows: As mentioned, this is processing by a program that determines the magnitude relationship of each combination based on the total result for each factor and determines the behavior pattern to which it belongs based on these two combinations.
A) In the case of “strictness” <“acceptability” and “openness”> “complementary”: OF
B) When “strictness” ≧ “acceptability” and “openness”> “complementary”: CH
C) If "strictness"<"acceptability" and "openness" ≤ "complementary": BA
D) If "strictness" ≥ "acceptability" and "openness" ≤ "complementary": DE

“Point granting means 2” means that the server apparatus 16 receives a request from the client terminal 18 and is given by the point granting means 1 in the “plural” answer table selected by the table selecting means. The processing by the program which calculates the average value according to mental factors in the plurality of answered tables based on the mental factor points of each answered table.
For example, the “strictness” point given by the point granting means 1 of the “answered table (step A)” selected by the table selection means is “14”, and the “strictness” of the “answered table (secondary)” is also the same. ”Is“ 15 ”, and the“ strictness ”point of the“ answered table (丙) ”is“ 16 ”, the average of the mental factor“ strictness ”calculated by the point assigning means 2 The value is “15”.

  The “behavior pattern determination means 2” is the same as the behavior pattern determination means 1 in the calculation processing method, but the tabulation result for each base factor is an average value based on the plurality of answer tables. It means the processing by the program.

  “Comment extraction means” means extraction of comment α1 from the client terminal 18 based on the point for each mental factor stored in the specific answered table selected by the table selection means in the personal analysis result extraction stage. This is processing by a program in which the server device 16 that has received the request extracts the comment α1 corresponding to the point from the mental factor DB (FIGS. 4 and 5) stored in the comment DB in the auxiliary storage device 12.

  Further, the server device 16 that has received an extraction request for the comment β set for each behavior pattern from the client terminal 18 for the specific behavior pattern X determined by the behavior pattern determination means 1 for the specific answered table. This is processing by a program for extracting a comment β corresponding to the specific behavior pattern X from the behavior pattern DB (FIG. 4) stored in the comment DB in the auxiliary storage device 12.

  In the extraction step of the organizational strength analysis result, the “comment extraction unit” is configured to select a specific behavior pattern determined by the behavior pattern determination unit 2 based on a plurality of answered tables selected by the table selection unit. For Y, the server device 16 that has received an instruction to extract a comment γ set based on the combination of two behavior patterns from the client terminal 18 receives a combination behavior pattern DB (stored in the comment DB in the auxiliary storage device 12 ( From FIG. 4), a comment γ corresponding to the action pattern Y is extracted.

  The “chart creation means” is based on the points for each mental factor given and totaled by the point giving means 1 and / or the average value for each mental factor given and totaled by the point grant means 2, for example, This means processing by a program for creating the analysis result list (5) shown in FIG. 1 and the radar chart (6) in which the values can be visually grasped.

  “Distribution means” refers to processing by a program that receives a request from the client terminal 18 and the server device 16 distributes the extracted comment and / or the created chart to the client terminal.

Next, the flow of consultation for personal analysis will be described with reference to the drawings.
First, the examinee and the former enter predetermined items such as a name for identifying themselves and information on the organization to which they belong (company name, department name) using the input means such as a keyboard. It is registered in the server device 16 in advance. The matter is stored in association as respondent information to a specific answered table.

  When the consultation is started, the server device 16 extracts a question sentence from the question DB (FIG. 7 / S101), and displays the question sentence on the screen (FIG. 7 / S102, FIG. 8). In response to the displayed question sentence “observe human behavior objectively”, the user selects one of the answer types “◯”, “△”, and “×” for a predetermined time by using an input means such as a mouse. (S103) (In this embodiment, it is 10 seconds, but may be changed as appropriate.) (S104), the server device 16 records this in the answer table (FIG. 9) as an answer to the question. (S105a). At this time, if it is determined that no answer has been input even after a predetermined time has elapsed, “Δ” is stored as an answer to the question (S105b).

When all the answers are memorized, the consultation ends (S106). The number of questions in this embodiment is 50 in total, with 10 questions set for each of five types of mental factors, but is not limited to this. A too small number of questions is not appropriate for the purpose of diagnosis accuracy, but considering the concentration of the examinee, a question number exceeding 100 questions is not preferable. Therefore, 50 to 100 questions are considered to be a reasonable number of questions.
In this embodiment, the number of questions between mental factors is the same, but for the purpose of different intention, pay attention to a specific factor and set the number of questions for that factor to be larger than the number of questions for other factors. It is also good.

Next, the flow of processing from the end of the consultation to the extraction, display and creation of a radar chart, and display of comments according to mental factors in the personal analysis results will be described with reference to the drawings.
First, a specific answered table for performing personal analysis, that is, a test result to be analyzed is called. Specifically, the target test result is selected according to the screen displayed on the client terminal, but the server device receives a request from the client terminal and selects a specific answered table by the table selection means. For example, the subject individual is identified and called from the organization information and name from the company DB (FIG. 11 / S201).

  The called answer table stores the answer type for each question. The point assigning means 1 gives “2” points if the answer is “◯” for each mental factor, and “1” if the answer is “△”. "0" points and "0" points, respectively, and the total values for each factor of "strictness", "acceptability", "logic", "openness" and "complementary" are totaled ( S202).

  In the specific answered table in the present embodiment, “S. Total (subtotal / subtotal)” is “58” points for “◯” and “16” points for “△”, and “G. “Total / total)” is “74” (FIG. 10). This “G. Total” value is expressed as a numerical value indicating “potential (hereinafter referred to as PO)” (impression level given to others), and the strength is determined based on “55” points. Since the “74” point calculated in the present example is considerably higher than the standard, it can be determined that the impression degree given to the examinee and the former is considerably strong.

  Next, looking at the aggregation of each mental factor (FIG. 1), for example, “20” points are given to “acceptability”, but the psychological factor DB ( A specific comment corresponding to the point, that is, “comment G” in this embodiment is extracted from the DB set for each point (α 203) (upper row in FIG. 5) (S 203).

Then, the comment G and comments corresponding to the total points of the other mental factors are distributed to the client terminal (S204), and are displayed on the display of the client terminal 18 as shown in FIG. 12 (S205).
In addition, the display order in the comment column compares the points between psychological factors, and the corresponding comments are displayed in the order of the highest points. If the values are the same, “strict”, “acceptability”, “logical” It may be displayed in the order of “openness” and “complementary”.

  On the other hand, a radar chart (6) is created by the chart creation means based on the mental factor points of the specific answered table, and the point list for each mental factor, the PO value and the total value of the answer type “△”. The analysis result list (5) consisting of the stress values is distributed together with the comment α1 and displayed on the display of the client terminal (FIG. 1) (S205).

The flow of processing until the next behavior pattern X is determined and displayed will be described with reference to the drawings.
First, as in the case of displaying comments according to psychological factors, an answered table for personal analysis, that is, a desired test result is selected by the table selection means. For example, the subject individual is identified from the organization information and name to which he belongs and is called from the company DB (FIG. 13 / S301).

  Based on the called answer table, the point calculation is performed for each mental factor as described above (S302). In this embodiment, “strictness = 16 pts”, “acceptability = 20 pts”, “logicality = 16 pts”, “openness = 13 pts”, and “complementarity = 9 pts”.

Based on the result, the behavior pattern determination means 1 determines the behavior pattern X to which it belongs by a calculation combining two kinds of magnitude relationships between specific different mental factors (S303).
Specifically, the behavior pattern X to which it belongs is determined depending on which of the following conditions a) to d) is met.

A) In the case of “strictness” <“acceptability” and “openness”> “complementary”: OF
B) When “strictness” ≧ “acceptability” and “openness”> “complementary”: CH
C) If "strictness"<"acceptability" and "openness" ≤ "complementary": BA
D) If "strictness" ≥ "acceptability" and "openness" ≤ "complementary": DE

  In the present embodiment, the behavior pattern determination means 1 recognizes and belongs to the relationship of “strictness = 16 pts” <“acceptability = 20 pts”, “openness = 13 pts”> “complementarity = 9 pts”. The action pattern X is determined to be “OF” (S303).

Based on the above determination, the comment extracting means determines the determination from the behavior pattern DB stored in the comment DB in the auxiliary storage device 12 based on the behavior pattern DB stored in the comment DB in the auxiliary storage device 12 (FIG. 4). The comment β corresponding to the action pattern X “OF” is extracted (S304).
Specifically, it is sensitive to changes in the environment and is good at making friends by leading the group. Other comments (Fig. 14) and “Self-coaching by generation” are listed under each action pattern. Extract action guidelines (FIG. 15) for each appropriate age.

  The extracted behavior pattern comments and behavior guidelines are distributed to the client terminal (S305) and displayed on the display of the client terminal 18 (FIGS. 14 and 15) (S306).

  With this comment display, the examinee can specifically grasp his / her own behavior pattern and can be based on future behavior guidelines.

Next, organizational force analysis will be described with reference to the drawings.
Organizational power analysis presents optimal and specific action guidelines by comparing the behavior patterns of supervisors with the behavior patterns of subordinate groups.
Here, the behavior pattern of the subordinate group refers to one behavior pattern determined based on an average value based on the mental factor-based points of each person constituting the subordinate group.

  The organizational strength analysis is based on the premise that multiple examinees that make up the organization to be analyzed have already been visited, and multiple respondents that make up the organization to be analyzed, that is, multiple responses. The completed table is specified by the table selection means. In this case, one company may be specified from the company DB registered in advance and the examinees may be selected at once, or a plurality of individuals constituting a small group may be specified from the companies. It is good. After determining a plurality of examinees constituting the organization to be analyzed in this way, one of them is selected as the supervisor, and the other plurality of examinees are selected as constituting the subordinate group (FIG. 16 / S401). ). In the present embodiment, the superior is identified as “A”, and the other “O”, “」 ”,“ Ding ”, and“ 戊 ”are selected as persons constituting the subordinate group (FIG. 17).

Based on the selected plurality of answered tables, the point giving means 2 calculates the average value of each mental factor of the subordinate group (S402). Specifically, the average value of the four members constituting the subordinate group is calculated based on the points according to mental factors of “Oto”, “丙”, “Ding”, and “戊” given and totaled by the point granting means 1. To do.
Taking strictness as an example, since it is Otsu “14pts”, 丙 “19pts”, Ding “11pts”, 戊 “18pts” (FIG. 17), among the mental factors of the subordinate group in this example, strict The average value for sex is “16 pts”. Similarly, for each of the other factors, the average value of “acceptability = 17 pts”, “logic = 14 pts”, “openness = 11 pts”, and “complementarity = 11 pts” is calculated by the point assigning unit 2.

After calculating the point average value for each mental factor of the subordinate group, the behavior pattern determination means 2 receiving this calculates the behavior pattern Y. The action pattern Y is an action pattern determined by regarding the subordinate group as one personality.
The determination algorithm of the behavior pattern Y is the same as the determination algorithm of the behavior pattern X determined by the behavior pattern determination means 1, and is determined by combining two kinds of magnitude relations between two specific different factors. That is, based on the average value for each mental factor of the subordinate group, the behavior pattern Y to which it belongs is determined based on which of the following conditions a) to d).

A) In the case of “strictness” <“acceptability” and “openness”> “complementary”: OF
B) When “strictness” ≧ “acceptability” and “openness”> “complementary”: CH
C) If "strictness"<"acceptability" and "openness" ≤ "complementary": BA
D) If "strictness" ≥ "acceptability" and "openness" ≤ "complementary": DE

  In the present embodiment, the behavior pattern determination means 2 recognizes and belongs to the relationship of “severity = 16 pts” <“acceptability = 17 pts”, “openness = 11 pts” = “complementarity = 11 pts” c). The action pattern Y is determined to be “BA” (S402).

As described above, based on the results determined as the behavior pattern “OF” of the superior “former” and the behavior pattern “BA” of the subordinate group (S403), the comment extraction means is a combination stored in the comment DB in the auxiliary storage device 12. A comment γ that evaluates the combination of both behavior patterns (FIG. 6) is extracted from the combined behavior pattern DB (S404).
Specifically, a comment (FIG. 18) such as “It is a stable vertical relationship. However, it is easy to get used to it if it is assembled for a long time, so the boss should not forget bullying.” Is extracted.

  The extracted comment γ is distributed to the client terminal 18 by the distribution means together with the analysis result list (5) of the supervisor and the organizational strength index (subordinate group) shown in FIG. 19 and the radar chart (6) created based on the analysis result list (5). Is displayed on the display of the client terminal 18 (S406).

  This comment display allows supervisors to specifically recognize what points should be taken care of in the organization they are leading, and as a basis for future action guidelines as an organization. .

  A second embodiment of the present invention will be described mainly with reference to FIGS. Note that the above-mentioned drawings are also referred to as necessary.

In this embodiment, the comment α2 presented at the time of evaluation based on the mental factor is stored in the mental factor DB in the auxiliary storage device 12 (FIG. 3) (lower row in FIGS. 4 and 5). The comment α2 is an “informal comment” in which each mental factor is evaluated from the “back side”, and has a different viewpoint from the comment α1 (formal comment) in the first embodiment.
For example, when the point of “strictness” is high in the first embodiment, it was evaluated with a positive comment (formal comment) that “strictly observe the rules and rules”. It can also be interpreted negatively. This embodiment is characterized in that the diagnosis is performed from the latter standpoint. Further, by performing a point correction process, the characteristics of the examinee are further emphasized with respect to a mental factor that satisfies a certain condition. To diagnose. The higher the point, the more severe the negative evaluation.

  In this embodiment, in addition to the configuration of the invention described in the first embodiment, the point granting means 1 counts the answer types, and the point correction means corrects the points for a specific answer type based on the answer type counts. And the point giving means 1 is added with a process of performing re-counting for each mental factor.

  Here, the “point correcting means” means that when the number of answers for a specific answer type reaches a certain number or more based on the result of aggregation of the answer types for each mental factor performed by the point giving means 1 This is processing by a program that corrects this so that double points are given to each seed. In the present embodiment, the “specific answer type” indicates “△” of the answer types “◯”, “×”, and “△”, and “a certain number” or more means “4” or more. .

  That is, in this example, “Δ” is regarded as a state in which the judgment power of the examinee with respect to the question content is weak, that is, a “mental uneasy state”. The inventor of the present application can determine that there is no particular problem if the number of “Δ” is 0 to 3 (30% or less of the total number of questions) for 10 questions related to one mental factor. On the other hand, when “4” or more are selected, it is necessary to call attention especially, and it is necessary to emphasize the factor from the “backside” and make a diagnosis.

  In FIG. 21, “strictness” is “14” points for the examinee “O”, and among these 14 points, the answer type “Δ” is “2” points. The “acceptability” is “17” points, and among the “17” points, the answer type “Δ” is “3” points.

  On the other hand, among “11” points of “logic”, “Δ” occupies “5” points. Since “1” points are weighted per “Δ”, it is understood that “None” is answered to 5 questions out of 10 questions related to the mental factor. Similarly, “openness” answers “6” questions and “complementary” answers “neither” for “4” questions.

  As a result, “rigorousness” and “acceptability” cannot be emphasized by making “△” more emphasized, but the three factors of “logic”, “openness” and “complementarity” are “mental anxiety”. The situation is so strong that it is necessary to call attention to the recipient “B” and to make a diagnosis with more emphasis.

Hereinafter, the flow of processing up to the display of the comment α2 will be described with reference to the drawings.
Since the flow of processing up to the completion of answer input for all questions is the same as that in the first embodiment, it is omitted here.

  First, a specific test result to be personally analyzed from the company DB, that is, a specific answered table is selected by the table selection means. (FIG. 20 / S501).

  In the called answer table (FIG. 10), the answer type is stored for each question, and if the answer is “◯” by the point giving means 1, “2” points, “△” For example, “1” points and “0” points are assigned for each “x”, and total points are calculated for each factor of “strictness”, “acceptability”, “logic”, “openness”, and “complementarity”. At the same time, aggregation is performed for each mental factor and for each answer type (S502).

If the point correction means determines that the number of response types “△ (Neither)” is “4” or more for each mental factor based on the result of the aggregation, it is preset to “△”. Correction is performed to give twice the point “1” (S503).
“4” here is based on 2/5 of the total number of questions by psychological factor (10 questions). If the total number of questions by psychological factor is 20, the number of “△” is When there are 2/5, that is, “8” or more, the correction processing is performed.

  Looking at this for the examinee “O” in FIG. 21, the total value of “Releasability” is “12”, and the breakdown is 3 (3 × 2), “△” "Is 6 (6 × 1), and“ × ”is 1 (1 × 0). Here, since the number of “Δ” for the factor is “6” and the correction target condition is set to be “4” or more, the point correction means determines this as a correction target, and the “Δ” "Is corrected to give" 12 "which is a doubled point.

  Then, the point giving means 1 re-counts “18” for the mental factor using the corrected point (S504). “Logicality” and “complementary” are also recounted in the same way.

  In response to the recalculation, the comment extraction means extracts a comment α2 (informal comment) corresponding to the point from the mental factor DB (FIGS. 4 and 5) stored in the comment DB in the auxiliary storage device 12. (S505).

  Here, the point before correction of “openness” is “12”, and the informal comment corresponding to the number of points is “comment D” (FIG. 5). Therefore, the informal comment “comment F” (FIG. 5) corresponding to the number of points is extracted.

  The extracted comment α2 (informal comment) is distributed to the client terminal by the distribution means (S506), and is displayed on the display of the client terminal 18 as shown in FIG. 22 (S507).

  Similarly, for logicality and complementarity, an informal comment corresponding to the number of points after correction is extracted.

  As described above, according to the present embodiment, by correcting the point of the answer type “△” in the personal analysis result, it is possible to more emphasize and diagnose that there is a state of mental anxiety compared to the case where the correction is not performed. Therefore, it is possible to call attention to the examinee.

A third embodiment of the present invention will be described mainly with reference to FIGS. Note that the above-mentioned drawings are also referred to as necessary.
FIG. 23 is a flowchart when the point correction unit functions, and FIG. 24 is a diagram showing an example of a screen on which the organizational force analysis result (informal) is displayed.

In this embodiment, the organizational strength analysis is performed using the point correction means. When each person constituting the boss and the subordinate group is in an uneasy state, the boss and the organizational strength index (subordinate group) A list of analysis results and a radar chart created based on these are displayed and evaluated.
Also in this embodiment, comments relating to all combinations of the boss and subordinate group action patterns, which are prepared in advance from the comments evaluated from the back side, and a combination of action patterns to which the boss and subordinate group belong respectively. This may be extracted and displayed.

  First, the target company or the like for which the organizational strength analysis is to be performed is identified, and “table” is set as the supervisor on the screen shown in FIG. 17, and “b” to “戊” are configured as the “subordinate group” by the table selection means. Setting is made (FIG. 23 / S601).

  For the boss “Class A”, the point granting means 1 gives a preset point to the response type based on the “A” completed response table, and totals the response type when totaling by mental factor (S602) . Further, the point correcting means corrects points for a specific answer type, that is, “△ (neither)” based on the total of the answer types (S603), and the point giving means 1 uses the corrected points. Re-aggregation is performed for each mental factor (S604).

  Then, based on the re-counting result, the behavior pattern determination means 1 determines the behavior pattern X after correcting “A” by combining two kinds of magnitude relations between two different factors (S605).

  Next, for the subordinate group, the point granting unit 2 assigns points set in advance to the answer type based on each of the answered tables of “B” to “戊”, and after summing up, for each of the plurality of answered tables When the average value for each mental factor is obtained, the answer types are tabulated (S602). Further, the point correction means corrects points for a specific answer type, that is, “△ (neither)” based on the total of the answer types (S603), and the point grant means 2 uses the corrected points. The average value is re-aggregated for each mental factor (S604).

  Based on the re-counting result, the action pattern determining means 2 determines the action pattern Y by combining two kinds of magnitude relationships between specific two different factors based on the re-counted average value (S605).

  As described above, when the behavior pattern X and the behavior pattern Y are determined based on the corrected points of the supervisor and the subordinate group, the radar chart (6) is created (S606) and distributed to the client terminal together with the analysis result list (5). Is displayed on the screen of the client terminal (S608).

  Hereinafter, the processing content and the flow of the processing related to the point correction will be described in detail.

  The boss “Class A” has “△” as “4” for “Strictness” and “△” as “5” for “Openness”. work. As a result, the aggregation points according to mental factors are corrected to “20” and “18”, respectively, and “strictness / 20”, “acceptability / 20”, “logicality / 16”, “openness / 18”, “complementarity”. / 9 "(FIG. 21).

  Then, as in the first embodiment, the behavior pattern determination unit 1 determines the behavior pattern X as “CH” based on the re-counting result of the boss “A”.

  Following the “B” described in the second embodiment and explaining others, “説明” is “5” for “acceptability” and “Δ” is “5” for “logic”. As for openness, since “Δ” is “4”, the point correction means works for these mental factors. As a result, the total points according to mental factors are corrected to “20”, “20”, and “14”, respectively. Further, since “Ding” has “4” for “acceptability”, it is corrected to “20” by the point correcting means. On the other hand, since “戊” has “0” as the number of answers, the point correction means does not work (FIG. 21).

  As described above, with respect to the mental factors of each person constituting the subordinate group for which the point correction has been performed, the point granting unit 2 re-aggregates the average value for each mental factor using the corrected points, As shown in the column “AVG (Average) / Informal” (FIG. 21 u) as the average value of the group, “Severity / 16” “Receptivity / 19” “Logicality / 17” “Openness / 13” “Complementary / 12” (FIG. 21).

  In the same manner as in the first embodiment, the behavior pattern determination unit 2 determines the behavior pattern Y as “OF” based on the recount result.

When FIG. 19 showing the organizational force analysis result (formal) is compared with FIG. 24 in the present embodiment, it is easy to see a clear change between the factors of the supervisor and the subordinate group.
For example, with regard to “strictness”, the subordinate group remains at “16” points, whereas the supervisor has increased by “20” points and 4 points. In other words, it can happen that the superior “Kou” feels insufficient in terms of “strictness” with respect to the subordinate group. In other words, it shows that it is possible to require subordinate groups to comply with rules and rules more than usual.
Also, “logic” is reversed from the formal state. This shows that the superior “Kou” may take different actions based on his own rule of thumb, in response to what his subordinate group suggested based on facts and data.

  As described above, the boss can know in advance about the state of the organization when the state of mental anxiety, including himself, becomes apparent from the result of the organizational strength analysis presented by the present embodiment. In addition, even in a situation where the organization is newly configured and the subordinates are not fully understood, the invention according to this embodiment can predict a state of mental anxiety in advance, so the boss Various situations can be predicted and prepared in advance.

  By using the present invention, for example, when a new development group is set up, in the case of selecting the members of the group from within the company, the optimal supervisor and its subordinate group can be expected so that a desired result can be expected. It is also possible to easily extract human resources who can exhibit the expected organizational power without relying only on empirical judgment of a specific person or past results.

1 Question sentence 2 Answer type 3 Pointer 4 Answer screen 5 Analysis result list 6 Analysis graph 7 Radio button 10 Central processing unit 11 Storage device 12 Input device 13 Output device 14 Bus 15 Communication device 16 Server device 17 Mobile phone 18 Client terminal 19 Network

Claims (9)

An organizational ability diagnosis system comprising a client terminal and a server device connected via the Internet and diagnosing based on individual values and behavior patterns,

The server device
A question DB consisting of a question sentence for assessing mental factors forming values and attribute information associated therewith;
An answer table for recording answers to the question text;
A mental factor DB that accumulates comments α1 according to mental factors set according to points;
An action pattern DB that accumulates comments β set for each action pattern;
A storage device that stores a combined action pattern DB that accumulates comments γ set based on a combination of two action patterns,

In response to a request from a client terminal,
Answer table calling means for calling the answer table;
A question sentence calling means for calling a predetermined question sentence;
An answer recording means for recording, in the answer table, a selective answer sent from the client terminal to the called question sentence;
An answer table storing means for storing the answer table in which the answer is recorded as an answer table in the storage device in a freely callable manner;

In response to a request from a client terminal,
Table selecting means for selecting a specific answered table from the answered tables stored in the storage device;
Based on the selected specific answered table, a point giving means 1 for assigning points set in advance to the answer type and summing up by mental factors;
A behavior pattern determination means 1 for determining a behavior pattern X by combining two kinds of magnitude relationships between two different factors based on the counting points;

In response to a request from a client terminal,
For each of the plurality of answered tables selected by the table selecting means, based on the mental factor-specific points of each answered table given by the point giving means 1, the average for each mental factor in the plurality of answered tables Point giving means 2 for calculating a value;
Based on the average value, the behavior pattern determining means 2 for determining the behavior pattern Y by combining two kinds of magnitude relations between two different specific factors;

In response to a request from a client terminal,
Based on the results totaled by the point grant means 1, a predetermined comment α1 is extracted from the mental factor DB,
Based on the behavior pattern X determined by the behavior pattern determination means 1, a predetermined comment β is extracted from the behavior pattern DB,
Comment extracting means for extracting a predetermined comment γ from the combined action pattern DB based on the action pattern Y determined by the action pattern determining means 2 and the action pattern X determined by the action pattern determining means 1;
A chart creation means for creating a chart based on the points according to mental factors calculated by the point grant means 1 and / or calculated by the point grant means 2;
A system for diagnosing organizational strength, comprising: a distribution unit that distributes the extracted comment and / or the created chart.
The answer type of the selection formula consists of three types: “affirmation” “denial” “neither”,
In response to a request from a client terminal,
The point giving means 1
Based on a specific answered table selected by the table selection means, a predetermined point is given to the answer type, and when counting by mental factor, the answer type is totalized,
Point correction means
If it is determined that the number of responses for “None” for each mental factor has reached a certain number or more based on the aggregated result, double the points set in advance for the response type So that
The point giving means 1
Re-aggregate by mental factors using the corrected points,
The organizational force diagnosis system according to claim 1, wherein the comment extracting unit extracts a predetermined comment α2 corresponding to the points totaled after the correction from the mental factor DB.
The answer type of the selection formula consists of three types: “affirmation” “denial” “neither”,
In response to a request from a client terminal,
The point giving means 1
Based on a specific answered table selected by the table selection means, a predetermined point is given to the answer type, and when counting by mental factor, the answer type is totalized,
Point correction means
If it is determined that the number of responses for “None” for each mental factor has reached a certain number or more based on the aggregated result, double the points set in advance for the response type So that
The point giving means 2
Re-aggregate by mental factors using the corrected points,
The behavior pattern determination means 1
Based on the recalculated points by mental factor, the action pattern X is determined by combining two kinds of magnitude relationships between two different specific factors,

The point giving means 2
Based on each of the plurality of answered tables selected by the table selection means, a predetermined point is assigned to the answer type and aggregated, and then an average value for each mental factor is obtained for the plurality of answered tables. When doing this, the response types are aggregated,
Point correction means
If it is determined that the number of responses for “None” for each mental factor has reached a certain number or more based on the aggregated result, double the points set in advance for the response type So that
The point giving means 2
Using the corrected points, re-aggregate the average value for each mental factor,
The action pattern determination means 2
The organizational force diagnosis system according to claim 1, wherein the behavior pattern Y is determined by combining two kinds of magnitude relations between specific different two factors based on the recalculated average values for each mental factor. .
An organizational ability diagnosis method for making a diagnosis based on personal values and behavior patterns using a client terminal and a server device connected via the Internet,
The server device
A question DB consisting of a question sentence for assessing mental factors forming values and attribute information associated therewith;
An answer table for recording answers to the question text;
A mental factor DB that accumulates comments α1 according to mental factors set according to points;
An action pattern DB that accumulates comments β set for each action pattern;
Storing a combined action pattern DB that accumulates comments γ set based on a combination of two action patterns;

In response to a request from the client terminal, a response table calling means calls the response table;
A step in which a question sentence calling means calls a predetermined question sentence;
An answer recording means for recording a selective answer to the question sentence transmitted from the client terminal in the answer table;
A reply table storage means for storing a reply table in which the reply is recorded in the storage device as a reply table;

In response to a request from a client terminal,
Table selecting means for selecting a specific answered table from the answered tables stored in the storage device;
Based on the selected specific answered table, the point giving means 1 gives a preset point to the answer type, and totals by mental factor;
The behavior pattern determining means 1 determines a behavior pattern X by combining two kinds of magnitude relationships between two different specific factors based on the counting points;

In response to a request from the client terminal, the point granting unit 2 applies to the plurality of answered tables selected by the table selecting unit based on the mental factor-specific points of each answered table given by the point granting unit 1 Calculating an average value for each mental factor in the plurality of answered tables;
Based on the average value, the action pattern determination means 2 determines the action pattern Y by combining two kinds of magnitude relationships between two different specific factors,

In response to a request from a client terminal,
Comment extraction means
A step of extracting a predetermined comment α1 from the mental factor DB based on the result totalized by the point giving means 1;
Extracting a predetermined comment β from the behavior pattern DB based on the behavior pattern X determined by the behavior pattern determination means 1;
Extracting a predetermined comment γ from the combined action pattern DB based on the action pattern Y determined by the action pattern determining means 2 and the action pattern X determined by the action pattern determining means 1;
Chart creation means
Creating a chart based on the mental factor-based points calculated by the point giving means 1 and / or calculated by the point giving means 2;
Distribution means
And delivering the extracted comment and / or the created chart.
The answer type of the selection formula consists of three types: “affirmation” “denial” “neither”,
In response to a request from a client terminal,
The point giving means 1
Based on the specific answered table selected by the table selection means, giving a preset point to the answer type, and counting the answer type when totaling by mental factor;
Point correction means
If it is determined that the number of responses for “None” for each mental factor has reached a certain number or more based on the aggregated result, double the points set in advance for the response type A step of correcting
The point giving means 1
Re-aggregating by mental factor using the corrected points;
The comment extracting means
5. The tissue force diagnosis method according to claim 4, further comprising a step of extracting a predetermined comment α2 corresponding to the points counted after the correction from the mental factor DB.
The answer type of the selection formula consists of three types: “affirmation” “denial” “neither”,
In response to a request from a client terminal,

The point giving means 1
Based on the specific answered table selected by the table selection means, giving a preset point to the answer type, and counting the answer type when totaling by mental factor;
Point correction means
If it is determined that the number of responses for “None” for each mental factor has reached a certain number or more based on the aggregated result, double the points set in advance for the response type A step of correcting
The point giving means 2
Re-aggregating by mental factor using the corrected points;
The behavior pattern determination means 1
And determining a behavior pattern X by combining two kinds of magnitude relationships between two different factors based on the recalculated mental factor-specific points,

The point giving means 2
Based on each of the plurality of answered tables selected by the table selection means, a predetermined point is assigned to the answer type and aggregated, and then an average value for each mental factor is obtained for the plurality of answered tables. The step of counting the response types,
Point correction means
If it is determined that the number of responses for “None” for each mental factor has reached a certain number or more based on the aggregated result, double the points set in advance for the response type A step of correcting
The point giving means 2
Re-aggregating the mean value for each psychological factor using the corrected points;
The action pattern determination means 2
The method according to claim 4, further comprising the step of determining an action pattern Y by combining two kinds of magnitude relations between specific different two factors based on the recalculated average value by mental factor. Organizational power diagnosis method.
A program executed in a server device connected to a client terminal via the Internet,
A question DB consisting of a question sentence for assessing mental factors forming values and attribute information associated therewith;
An answer table for recording answers to the question text;
A mental factor DB that accumulates comments α1 according to mental factors set according to points;
An action pattern DB that accumulates comments β set for each action pattern;
A server device including a storage device having a combined action pattern DB that accumulates comments γ set based on a combination of two action patterns.
An answer table calling means for receiving a request from the client terminal and calling the answer table;
A question sentence calling means for calling a predetermined question sentence;
An answer recording means for recording a selection type answer to the question sentence transmitted from the client terminal into the answer table;
An answer table storing means for storing the answer table in which the answer is recorded as an answer table in the storage device in a freely callable manner;

A table selecting means for receiving a request from the client terminal and selecting a specific answered table from the answered tables stored in the storage device;
Based on the selected specific answered table, a point giving means 1 for assigning points set in advance to the answer type and summing up by mental factors;
A behavior pattern determination means 1 for determining a behavior pattern X by combining two kinds of magnitude relationships between two different factors based on the counting points;

In response to a request from the client terminal, the plurality of answered tables selected by the table selecting means are based on the mental factor-specific points of each answered table given by the point giving means 1. Point giving means 2 for calculating an average value for each mental factor in the table;
Based on the average value, the behavior pattern determining means 2 for determining the behavior pattern Y by combining two kinds of magnitude relations between two different specific factors;

In response to a request from a client terminal,
A predetermined comment α1 is extracted from the mental factor DB based on the results totaled by the point granting means 1,
Based on the behavior pattern X determined by the behavior pattern determination means 1, a predetermined comment β is extracted from the behavior pattern DB,
Comment extracting means for extracting a predetermined comment γ from the combined action pattern DB based on the action pattern Y determined by the action pattern determining means 2 and the action pattern X determined by the action pattern determining means 1;
A chart creation means for creating a chart based on the points according to mental factors calculated by the point grant means 1 and / or calculated by the point grant means 2;
A server program that functions as distribution means for distributing the extracted comment and / or the created chart.
A server device with three types of answer types: “Yes”, “No”, and “Neither”
In response to a request from a client terminal,
Based on a specific answered table selected by the table selecting means, a point giving means 1 for adding the points set in advance to the answer types and summing up the answer types when summing up by psychological factors;
If it is determined that the number of responses for “None” for each mental factor has reached a certain number or more based on the aggregated result, double the points set in advance for the response type Point correction means for correcting
Point granting means 1 for recounting by mental factor using the corrected points;
8. The server program according to claim 7, wherein the server program is made to function as comment extracting means for extracting a predetermined comment α2 corresponding to the points counted after the correction from the mental factor DB.
A server device with three types of answer types: “Yes”, “No”, and “Neither”
In response to a request from a client terminal,
Based on the specific answered table selected by the table selection means, the point giving means 1 for adding the points set in advance to the answer types and counting the answer types when counting by psychological factors;
If it is determined that the number of responses for “None” for each mental factor has reached a certain number or more based on the aggregated result, double the points set in advance for the response type Point correction means for correcting
The point giving means 2 for recounting by mental factor using the corrected points;
Based on the recalculated points by mental factor, the magnitude relationship between two specific different factors is made to function as the behavior pattern determination means 1 that determines the behavior pattern X by combining two types,

Based on each of the plurality of answered tables selected by the table selection means, a predetermined point is assigned to the answer type and aggregated, and then an average value for each mental factor is obtained for the plurality of answered tables. The point giving means 2 for counting the answer types,
If it is determined that the number of responses for “None” for each mental factor has reached a certain number or more based on the aggregated result, double the points set in advance for the response type Point correction means for correcting
Point granting means 2 for reaggregating the average value for each mental factor using the corrected points;
8. The method according to claim 7, wherein the behavior pattern determining means is configured to determine a behavior pattern Y by combining two kinds of magnitude relations between specific different two factors based on the recalculated average value for each mental factor. The tissue force diagnosis system described.

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