JP6648896B2 - Organization improvement activity support system, information processing device, method and program - Google Patents

Description

  The present invention relates to an organization improvement activity support system for supporting an organization improvement activity, an information processing device, an organization improvement activity support method, and an organization improvement activity support program.

  2. Description of the Related Art In various organizations, organization improvement activities are undertaken to address some problems within the organization as an organization.

  For example, in a company or the like, an organizational improvement activity for tackling stress factors and the like of an organization is carried out as an organization by utilizing a stress diagnosis result of the organization by a simple occupational stress questionnaire (Brief Job Stress Questionnaire: BJSQ). Is being done.

  For example, there is a knowledge management diagnosis system described in Patent Literature 1 in relation to a technology for supporting an organization improvement activity. The knowledge management diagnosis system described in Patent Literature 1 extracts organization template information similar to a target organization based on organization attributes, target tasks, and task issues. Then, based on the extracted organization template information, the degree of conformity between the measure and the target organization is determined, and a correction plan suitable for the target organization is presented.

JP-A-2004-220178

  In organizational improvement activities, it is the most important item to achieve the objective that the target organization steadily implements the planned measures against the stress factors, etc. which are the theme of improvement. To that end, it is important to propose measures that are appropriate for the organization.

  For example, by using the activity results of a wide range of organizations, it is possible to propose measures that are more suitable for the organization. However, as a result of working on the activities in various organizations, results that differ from the contents assumed by the experts in advance may appear. In such a case, in order to modify the logic for proposing a measure to make it more versatile, many manual costs were required.

  Note that Patent Document 1 stores some guideline information, which is information for the target organization to reach a desired level, and determines whether or not the expected effect has been obtained after performing the proposed action. Is described. Then, it is described that if the expected effect is not obtained as a result of the determination, the guideline is changed to another guideline. However, the method described in Patent Literature 1 can reflect the policy result only for the target organization. Further, the method described in Patent Document 1 considers detailed factors such as whether the proposed measure was effective because it was suitable for the improvement theme or whether it was effective because it was suitable for the characteristics of the organization. I haven't. In addition, even if the organizational characteristics are the same, the result may be different from what the expert presumes in advance, such as an effect for one organization and no effect for another organization. In such a case, no consideration is given to how to modify the logic for proposing a measure to make it a general-purpose measure.

  In view of the above-described problems, the present invention provides an organization improvement activity support system, an information processing device, and an organization improvement activity that support an organization improvement activity that enables knowledge obtained through activities of a wide range of organizations to be used by many organizations. The purpose is to provide a support method and an organization improvement activity support program.

The organization improvement activity support system according to the present invention provides, for each measure, a theme adaptation degree indicating the degree of the effect of the measure with respect to each of the predetermined stress items, and a possible content of the organization characteristic which is a characteristic of the organization defined in particular. Based on the information stored in the measure information storage means, the measure information storage means for storing the degree of compatibility with the measure and the degree of organizational suitability that is quantified as the degree of influence on the theme suitability. A measure proposal means for proposing a measure to an activity log; an activity log storage means for storing, as an activity log, at least two activity reports which are information indicating the activity contents of the organization which actually performed the activity; and an activity log storage means. Based on the stored activity logs, for a certain measure, the relationship between the organizational characteristics and effects or themes and effects indicated by the information stored in the measure information storage means And determining activity log analysis means whether inconsistency occurs in relation, if the conflict is determined to have occurred, and a user cooperative means for performing notification to a predetermined user, the activity log analysis means If organizations with the same organizational characteristics act on the same policy and one of the organizations has a positive effect that is greater than or equal to a predetermined value and the other organization has a negative effect that is greater than a predetermined value, the relevant policy Is characterized by determining that there is a contradiction in the relationship between the organizational characteristics and the effect .

The information processing apparatus according to the present invention provides a measure based on an activity log stored in an activity log storage unit that stores, as an activity log, two or more activity reports, which are information indicating the activity contents of the organization that actually performed the activity. A predetermined measure information storage means, for each measure, the theme adaptability indicating the degree of the effect of the measure for each of the predetermined stress items, and the possible contents of the organization characteristic which is the characteristic of the organization specified in particular. Of the organizational characteristics and the effects indicated by the information stored in the measure information storage means, which stores the degree of organizational adaptation, which is quantified as the degree of influence on the theme relevance of the compatibility with the relevant measure for each of the measures. An activity log analysis means for determining whether or not a contradiction has occurred in the relationship between the relationship or the theme and the effect; and a predetermined user when the contradiction is determined to have occurred. Comprising a user cooperation unit for performing knowledge, the activity log analysis means, between the organizations having the same tissue properties, as a result of activities for the same measures, is effective for more than predetermined plus one tissue, other When the organization has a negative effect equal to or more than a predetermined value, it is determined that there is a contradiction between the organization characteristic and the effect of the measure .

In the organization improvement activity support method according to the present invention, the information processing apparatus stores, as an activity log, two or more activity reports, which are information indicating the activity contents of the organization that actually performed the activity, in activity log storage means. Based on the activity log, for a certain measure, a predetermined measure information storage means, for each measure, the theme conformity indicating the degree of the effect of the measure for each of the predetermined stress items, and the characteristic of the organization specified in particular. Indicated by the information stored in the measure information storage means, which stores the degree of compatibility with the measure for each possible content of a certain organizational characteristic and the degree of organizational suitability that is quantified as the degree of influence on the theme suitability. It is determined whether or not there is a contradiction between the relationship between the organizational characteristics and the effect or the relationship between the theme and the effect, and if the information processing apparatus determines that the contradiction has occurred, To, have rows notification to a predetermined user, the information processing apparatus, when determining whether conflict is occurring, among organizations having the same tissue properties, as a result of activities for the same measures, one tissue Has a positive effect that is greater than or equal to a predetermined value, and has a negative effect that is greater than or equal to a predetermined value in the other organization .

An organization improvement activity support program according to the present invention provides an activity log stored in an activity log storage unit that stores, as an activity log, two or more activity reports, which are information indicating the activity contents of the organization that actually performed the activity. A predetermined measure information storage unit for a certain measure, based on the theme, the degree of theme adaptation indicating the degree of the effect of the measure for each of the predetermined stress items for each measure, and the organization characteristic which is a characteristic of the organization specified in particular. The organization indicated by the information stored in the measure information storage means, which stores the degree of compatibility with the measure for each of the possible contents of the property and the degree of organizational suitability that is quantified as the degree of influence on the theme suitability. A process of determining whether or not a contradiction has occurred in the relationship between the characteristic and the effect or the relationship between the theme and the effect, and it has been determined that the contradiction has occurred. The case, to execute the processing for notifying the given user, the computer, in process of determining whether or not inconsistency occurs, among organizations having the same tissue properties, as a result of activities for the same measures, whereas If the organization has a positive effect that is greater than or equal to a predetermined value and the other organization has a negative effect that is greater than a predetermined value, it is determined that there is a contradiction in the relationship between the organizational characteristics and the effect of the measure. I do.

  According to the present invention, knowledge obtained through activities of a wide range of organizations can be used in many organizations.

It is a block diagram showing an example of composition of measure proposal means 100 of a 1st embodiment. It is a flowchart which shows an example of operation | movement of the measure proposal means 100. FIG. 9 is an explanatory diagram illustrating an example of an analysis result of a stress diagnosis result by a result analysis unit 102. FIG. 6 is an explanatory diagram showing an example of a candidate list of stress items to be improved by a result analysis unit 102. FIG. 9 is an explanatory diagram illustrating an example of a GUI for inputting tissue characteristics. It is explanatory drawing which shows the example of the information stored in measure DB105. It is explanatory drawing which shows the example which reflected the organization conformity and the measure conformity with respect to each measure. FIG. 9 is an explanatory diagram illustrating an example of a calculation result of a degree of conformity. It is explanatory drawing which shows an example of the presentation method of a recommended measure. It is an explanatory view showing other examples of GUI of an organization improvement activity support system. It is an explanatory view showing other examples of GUI of an organization improvement activity support system. It is an explanatory view showing other examples of GUI of an organization improvement activity support system. It is an explanatory view showing other examples of GUI of an organization improvement activity support system. FIG. 1 is a configuration diagram illustrating an example of an overall configuration of an organization improvement activity support system 1000 according to a first embodiment. It is an explanatory view showing an example of an activity report input screen. It is a block diagram which shows the more detailed structural example of the measure information update means 200. FIG. 11 is an explanatory diagram illustrating an example of a theme suitability update condition; It is explanatory drawing which shows the example of the update condition of an organization relevance. It is explanatory drawing which shows the example of the recalculation method of a theme suitability, and a calculation result. It is explanatory drawing which shows the example of the recalculation method of a tissue conformity. It is explanatory drawing for demonstrating the update object of a tissue conformity. It is explanatory drawing which shows the example of the recalculation result of a tissue conformity. It is explanatory drawing which shows the example of the recalculation result of a tissue conformity. It is explanatory drawing which shows the other example of the update method of a tissue conformity. FIG. 4 is an explanatory diagram illustrating an example of a timeline. FIG. 14 is an explanatory diagram illustrating an example of a contradiction determination process of the activity log analysis unit 211. It is explanatory drawing which shows the example of the information notification by the expert cooperation means 203. It is a sequence diagram showing an example of the whole operation of organization improvement activity support system 1000. It is a block diagram showing the outline of the present invention. 1 is a block diagram illustrating a configuration example of an information processing device according to the present invention.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. First, a description is given of a functional unit that proposes a measure that is a premise of the present invention. FIG. 1 is a block diagram illustrating a configuration example of a measure proposal unit 100 included in the organization improvement activity support system 1000 according to the first embodiment. The organization improvement activity support system 1000 illustrated in FIG. 1 includes a measure proposal unit 100, a check result DB (database) 101, and a measure DB 105.

  Further, the measure proposal means 100 includes a result analysis means 102, an improvement theme determination means 103, an organization characteristic input means 104, a fitness calculation means 106, and a measure presentation means 107.

  The check result DB 101 stores at least a stress diagnosis result of the target organization by BJSQ or the like. In addition, the stress diagnosis method of an organization is not limited to BJSQ.

  The measure DB 105 stores information of a proposed measure. In the present embodiment, the measure DB 105 stores, as information of each measure, an organization characteristic, which is a characteristic of an organization that is specifically defined, for each of stress items that are predetermined items that affect the stress response among the diagnostic items. Information indicating an improvement effect according to the content is stored.

  For example, the measure DB 105 adds, as information indicating the above-mentioned improvement effect, a theme suitability that quantitatively indicates, for each measure, how much the measure is suitable for each stress item (effective). Then, for each measure, for each of the possible values of the organizational characteristics, the degree of organizational suitability represented by a coefficient indicating how much the theme suitability of the measure is affected may be stored. In such a case, the value obtained by multiplying the theme relevance determined by the combination of the measure and the stress item by the coefficient that is the organization relevance determined by the combination of the measure and the organizational characteristic is used as the organizational characteristic of the measure for the stress item. The degree of conformity is obtained.

  The information stored in the measure DB 105 may be input by, for example, a system administrator under the supervision of an expert.

  The result analysis unit 102 analyzes the stress diagnosis result of the target organization based on the information stored in the check result DB 101. The result analysis means 102 may calculate the degree of deviation from the average value for each stress item, for example.

  The improvement theme determining means 103 lists the stress item candidates to be improved based on the analysis result by the result analyzing means 102, and allows the user to select a stress item that the target organization wants to improve from among the candidates. And determine the improvement theme.

  The organization characteristic input unit 104 inputs the organization characteristic of the target organization. For example, the organization characteristic input unit 104 may input, for each of those items, the current state of the target organization and the like, as characteristics of the characteristic of the target organization, which have a large influence on performing the organization improvement. .

  The fitness calculating means 106 calculates the fitness of each measure based on the determined improvement theme (stress item to be improved) and the contents of the organizational characteristics of the target organization.

  The measure presenting means 107 lists and presents measures recommended to the target organization based on the calculation result of the fitness by the fitness calculating means 106. The measure presenting means 107 may list, for example, measures maximizing the degree of conformity to the improvement theme in the target organization in order, and present them as recommended measures.

  The check result DB 101 and the policy DB 105 are realized by a storage device such as a database system, for example. The result analysis unit 102, the improvement theme determination unit 103, the organization characteristic input unit 104, the adaptability calculation unit 106, and the measure presentation unit 107 are, for example, a computer, more specifically, a CPU that operates according to a program provided in the computer. It is realized by. FIG. 1 shows an example in which the result analysis unit 102, the improvement theme determination unit 103, the organization characteristic input unit 104, the fitness calculation unit 106, and the measure presentation unit 107 are implemented as one processing unit. , These may be implemented in separate devices.

  Next, the operation of the measure proposal means 100 of the present embodiment will be described. FIG. 2 is a flowchart showing an example of the operation of the measure proposal means 100. In the example shown in FIG. 2, first, the result analyzing means 102 analyzes the stress diagnosis result of the target tissue (step S101). Here, for example, the result analysis means 102 calculates the deviation of each stress item included in the stress diagnosis result of the target organization nationwide based on the information of the stress diagnosis result of each organization nationwide stored in the check result DB 101. A value may be obtained, and a difference between the obtained deviation value and the national average may be obtained as an average value deviation degree. Further, the result analysis means 102, for example, based on the information of the stress diagnosis result of each organization of the company to which the organization belongs stored in the check result DB 101, the company of each stress item included in the stress diagnosis result of the target organization. May be calculated, and the difference between the calculated deviation value and the intra-company average may be calculated as the average value divergence. In addition, the result analysis unit 102, for example, based on the information of the stress diagnosis result of the organization stored in the check result DB 101, determines the difference (deviation) between the evaluation value of each stress item and the average value among all stress items. May be obtained as a relative evaluation value. For example, the check result DB 101 may store stress diagnosis results in various organizations other than the target organization, and the result analysis unit 102 may obtain a deviation value or an average value of each stress item by performing statistical processing on the results. .

  Next, the improvement theme determination means 103 lists and presents stress item candidates as improvement themes based on the analysis result by the result analysis means 102, and allows the user to select one or more of the stress items. Steps S102 and S103). The improvement theme determination means 103 lists, for example, stress items that have relatively large deviations from various average values.

  The improvement theme determination unit 103 receives information indicating the selection result according to the user operation, and determines an improvement theme (step S104). The improvement theme determining means 103 may perform, for example, adding information indicating the effect to the stress item determined as the improvement theme. The method of registering the information of the determined improvement theme is not limited to this, and any method may be used as long as it is possible to know which stress item is the improvement theme in the later-described fitness calculation process (step S106).

  Next, the organization characteristic input unit 104 allows the user to input information indicating the organization characteristic of the target organization, and accepts the input information (step S105). The organization characteristic input unit 104 may prepare, for example, a screen for inputting the organization characteristic in advance, and allow the user to select a matching one of the contents of the current organization characteristic of the target organization.

  Next, the fitness calculating means 106 determines the fitness of each measure based on the determined improvement theme (stress item to be improved) and the information on the organization characteristics of the target organization received by the organization characteristics input means 104. The calculation is performed (step S106).

  Finally, the measure presenting means 107 presents a recommended measure to the target organization based on the calculation result of the fitness by the fitness calculating means 106 (step S107). The measure presenting means 107 may, for example, present, as a recommended measure, a measure that maximizes the degree of suitability for a stress item that is an improvement theme.

  Next, the operation of the measure proposal means 100 will be described using a specific example. FIG. 3 is an explanatory diagram illustrating an example of an analysis result of the stress diagnosis result by the result analysis unit 102. FIG. 3 shows, as an example of the results of stress diagnosis of the target tissue by BJSQ, the results (for example, the degree of strength, etc.) of each stress item (19 items in total) classified into stress response, stress factor, and modification factor. Numerical examples are shown. Note that, as described above, it is preferable that the stress item that can be an analysis target, that is, a candidate for an improvement theme, includes not only a stress response but also a stress factor and a modification factor that affect the stress response. This is because, in many cases, the effect does not increase even if an attempt is made to improve only by focusing on the stress response, whereas the effect tends to increase if the improvement is attempted by focusing on the factors that influence the stress response.

  The result analysis means 102 calculates, for example, a nationwide deviation value and a nationwide average of the diagnosis result of the target organization for each of the stress items (total 19 items) classified into the stress response, the stress factor, and the modifying factor among the stress diagnosis items by BJSQ. , The difference may be obtained as an average deviation indicating the deviation of the diagnosis result of the target organization from the national average.

  FIG. 4 is an explanatory diagram illustrating an example of a candidate list of stress items to be improved by the result analysis unit 102. FIG. 4 shows, as a candidate list of stress items to be improved, the priority, the item name, the comparison result, the national average deviation from the national average of the national deviation, and the relative value within the own group. The evaluation values are shown. Note that the relative evaluation value within the own group may be, for example, a difference from an average value of evaluation points, which is the degree of quality of the item, from all items.

  For example, as shown in FIG. 4, the improvement theme determination unit 103 determines an item having a large deviation from the average among a plurality of groups including the target organization (for example, nationwide or company-wide) based on various comparison results, Items with relatively low evaluations within the organization may be prioritized based on their degree and presented to the user as a candidate list.

  When presenting the candidate list, the improvement theme determination means 103 may add and display a selection box for each item to allow the user to select a stress item that the target organization wants to improve, that is, an improvement theme. Note that the number of selectable items is not limited to one, and may be plural.

  FIG. 5 is an explanatory diagram showing an example of a GUI (graphical user interface) for inputting tissue characteristics. FIG. 5 shows an example of an organization characteristic input screen using a slide bar, a selection list, or the like for each item of a predetermined organization characteristic. For example, the tissue characteristic input unit 104 may use the screen for inputting the tissue characteristics as shown in FIG. 5 to cause the target organization to select the content corresponding to the item of the predetermined tissue characteristic at the present time. . At this time, the user may input the contents of only the items considered to be main among the presented organization characteristics.

FIG. 5 shows the degree of cohesion of personnel (for example, high / normal / low, etc.), the role (for example, design / development / maintenance / sales / service, etc.), and the degree of communication (for example, high / normal / low, etc.). Although examples of three types of tissue characteristics are shown, the tissue characteristics are not limited to these. For example, in addition to the above,
・ Average age ・ Average overtime ・ PM theory (PM type, Pm type, pM type, pm type, etc.)
・ Gender ratio (for example, only men / many men / equilibrium / many women / women only)
・ Most age group (for example, 20s / 30s / 40s / 50s, etc.)
・ Trend trends of members (eg, minority transfer / balance type / many transfer)
・ The location of the problem (eg, workplace planning / work management / person management)
・ CMMI (Integration of ability maturity model) (for example, 1-5 etc.)
· Most occupational classes and atmosphere (eg, extrovert / introvert)
・ Business characteristics (for example, professional / general, etc.)
・ Industry characteristics (for example, manufacturing / non-manufacturing)
・ Relationship with clients (eg, superior / equal / inferior)
・ Taking vacations (eg, active / negative)
・ Satisfaction with rewards (eg good / normal / bad)
・ Satisfaction with the evaluation (eg, good / normal / bad)
-Whether there is a problem with a project other than the Roscon project-Whether there is a change in managerial positions-Whether there is a change in the organizational structure-Places where work is done (for example, many in-house / many outside (customers, temporary staffing, etc.) etc.)
-Absence of absence from absence-Limitation of working hours-Status of department loss (for example, good / normal / bad)
-Degree of belonging (eg, high / normal / low)
Etc. are also conceivable.

  FIG. 6 is an explanatory diagram illustrating an example of information stored in the measure DB 105. As shown in FIG. 6, the measure DB 105 stores, for each measure, the theme suitability for each stress item (see FIG. 6A) and the organization suitability for each possible content of each organization characteristic (FIG. 6 ( B)) may be stored.

  In the example illustrated in FIG. 6A, for example, the measure A has an effect of +5 for a stress item such as “vigor” or “anxiety” classified as a stress response, and is classified as a stress factor. It can be seen that an effect of +2 is obtained for stress items such as “quantitative burden” and “discretion”. In addition, for example, it can be seen that in the measure B, an effect of +1 is obtained for the item of "vigor" and an effect of +2 is obtained for the item of "anxiety".

  In the example shown in FIG. 6B, for example, in the case of the measure A, in the case of an organization having a low “personnel cohesion”, the theme matching degree is “direction”, and the obtained effect is “+2.0” times. On the other hand, in the case of an organization having a high “cohesion degree of personnel”, the effect obtained is multiplied by “0.5” because the theme relevance is “unsuitable”. It can be seen that the effect is reduced by half with respect to the tissue that has. In this example, when the tissue conformity is “normal”, the obtained effect is multiplied by “+1”, that is, there is no synergistic effect due to the tissue characteristics. Further, if the degree of histocompatibility is negative, it means that the obtained effect is multiplied by “−X”, that is, it may be deteriorated for a tissue having the relevant tissue characteristics. Note that the example shown in FIG. 6 shows an example in which three types of contents, “direction (+2.0)”, “normal (+1.0)”, and “unsuitable (+0.5)” are registered as the tissue conformity. However, the possible values of the tissue relevance may differ between the policy characteristics. In this case, the degree of organizational adaptation can be used not only as an index indicating compatibility with a measure for each organizational characteristic but also as an index indicating the degree of influence between organizational characteristics. Further, as an example of the strength of the influence between the organizational characteristics, for example, when there is a measure that should not be adopted when the organizational characteristic has a certain content, the relevance of the organization to the content for the measure is set to “impossible (-100)”. For example, it is also possible to set a value that is always repelled as a result of the maximization evaluation of the degree of conformity described later.

  For example, suppose that as a result of selecting an improvement theme, two "discretionary powers" having a large deviation from the national average and "boss support" having a low relative evaluation in the own group are determined as improvement themes. As a result of the input of the organizational characteristics, the target organization has many employees resident as a work place and has a small number of members who are developing according to the instructions of the support project. Is input as "low". In such a case, as shown in FIG. 7, the fitness calculating unit 106 calculates the fitness of each measure by reflecting the input content in the information of each measure to be calculated. Good.

  In this example, the relevance calculating means 106 determines the relevance of each measure at least for the stress items that are the theme of improvement by reflecting the compatibility of the effect of each stress item with the main organizational characteristics as a coefficient. You only need to find the degree. Specifically, for each measure, the sum of the product of multiplying the coefficient of the main organizational characteristics (if there is more than one) by each of the theme conformance of the stress items as the improvement theme is added. , The degree of conformity of the measure. In the example shown in FIG. 7, the fitness level of the “organization length patrol” measure with the policy ID = 1 = (+ 2.0) × (2 + 5) = + 14.0, and the fitness level of the “drinking party” policy with the policy ID = 2 = (+1.0) × (1 + 3) = + 4.0, and the conformity of the “regular meeting” measure with the measure ID = 3 = (+ 0.5) × (10 + 8) = + 9.0. Note that a stress item other than the stress item set as the improvement theme may be included in the calculation target.

  FIG. 8 is an explanatory diagram illustrating an example of a calculation result of the fitness by the fitness calculating unit 106. The measure presenting means 107 may present a recommended measure to the user based on the calculation result of the fitness of each measure by the fitness calculating means 106 as shown in FIG.

  FIG. 9 is an explanatory diagram showing an example of a method of presenting a recommended measure by the measure presenting means 107. For example, as shown in FIG. 9, the measure presenting unit 107 may recommend a predetermined number of measures to the user in descending order of matching degree. In addition, when the fitness is calculated by including the stress items other than the stress item as the improvement theme in the calculation target, the improvement effect (theme fitness x organization fitness) for each stress item does not become a negative value. Among the measures, the measures that maximize the improvement effect on the stress item set as the improvement theme may be sequentially recommended. In addition, a method is also conceivable in which, among measures in which the improvement effect on a stress item as an improvement theme is a predetermined value or more, a measure that maximizes the sum of the improvement effects on all stress items is selected.

  FIGS. 10 to 13 are explanatory diagrams showing other examples of the GUI for suggesting a recommended measure in the present system.

  FIG. 10 is an explanatory diagram showing an example of a selection screen for referring to organization data (stress diagnosis result to be analyzed). For example, the result analysis unit 102 may display a screen as shown in FIG. 10 and allow the user to select organization information for referring to the stress diagnosis result to be analyzed. Here, information such as an organization identifier and a registration date may be added as the option information. In addition, since it is assumed that the frequency of using the planning support for the initial measure is not so high, it is preferable that a text indicating the usage method be displayed on each screen. As an option, only the latest diagnosis result of each organization stored in the check result DB 101 may be targeted. In the case where the diagnosis has not been performed yet, or the organization which takes the measure does not exist at the present time, the process may proceed to the next screen without selecting the organization data, that is, without the diagnosis result. In such a case, processing such as treating the evaluation of each stress item of the target organization as the lowest value may be performed.

  FIG. 11 is an explanatory diagram illustrating an example of a screen for selecting an improvement theme. For example, the improvement theme determination means 103 may display a screen as shown in FIG. 11 and allow the user to select a stress item (improvement theme) to be improved. At this time, each comparison value (nationwide comparison, company-wide comparison, own group comparison) may be displayed as an index for selection. Here, the nationwide comparison is an index indicating the degree of deviation from the nationwide average with respect to the evaluation of the relevant stress item of the organization. Further, the company-wide comparison is an index indicating the degree of deviation from the company-wide average in the evaluation of the relevant stress item of the organization. The self-group comparison is an index indicating the degree of deviation from the average of all the stress items of the organization with respect to the evaluation of the corresponding stress item of the organization. It is preferable that each comparison value can be sorted in a column. Note that the comparison values to be displayed are not limited to those described above. Further, each stress item is preferably displayed together with information indicating whether the item corresponds to a stress response, a stress factor, or a modification factor.

  FIG. 12 is an explanatory diagram showing an example of a screen for inputting tissue characteristics. For example, the organization characteristic input unit 104 may display a screen as shown in FIG. 12 and allow the user to input the current state of the organization characteristic of the target organization. Note that the items and contents of the organization characteristics shown in FIG. 12 are merely examples, and the present invention is not limited thereto.

  FIG. 13 is an explanatory diagram showing an example of a screen for presenting a recommended measure. For example, the measure presenting means 107 may display a screen as shown in FIG. 13 and present a recommended measure to the user. At this time, it is preferable to present a recommendation reason as information of the measure together with a specific example of the measure. It is preferable to make the recommendation reason from the viewpoint of, for example, whether it is effective for the organization characteristics or the improvement theme. For example, the goodness-of-fit calculating means 106 outputs not only the calculated goodness-of-fit information but also the information on the theme goodness and organizational goodness used in the calculation, and outputs the result of the goodness-of-fit calculation. May determine the presence or absence of a theme suitability equal to or higher than a predetermined threshold based on such information, or may determine the presence or absence of tissue suitability equal to or higher than a predetermined threshold, and select a recommendation reason based on the result of the determination. . At this time, a numerical value serving as a basis (the degree of theme conformity, the degree of organization conformity, a value obtained by multiplying them, etc.) may be displayed together.

  As described above, according to the measure proposal means 100, for each measure, not only the degree of effect on each stress item is held in advance, but also the compatibility with the measure for each of the organizational characteristics is changed to the theme relevance. By quantifying and holding the degree of influence, the effect on each stress item can be quantitatively measured in various aspects that the organization can take, so that it can be automatically and accurately performed without the intervention of an expert. And can propose measures that are appropriate for the target organization. Further, according to the measure proposal means 100, since it is realized with a simple configuration that does not require information to be sampled as in the case of opportunity learning, for example, there is a small number of samples and only biased information can be obtained in opportunity learning. Even in the situation, a user can determine a measure to be tackled from the beginning without error by simply selecting an improvement theme and inputting organizational characteristics.

  In addition, the measure DB 105 stores, for each measure, a theme adaptation degree indicating the degree of the effect of the measure for each of the predetermined stress items, and a content (hereinafter, referred to as an attribute value) that can be taken by the organization characteristic which is a characteristic of the organization which is defined in particular. It may be sufficient to store the degree of organizational adaptation, which is quantified as the degree of influence on the theme relevance of the degree of compatibility with the relevant measure for each of the cases.

  Further, the tissue characteristic input means 104 may be any device that inputs information indicating the tissue characteristics of the target tissue. The organization characteristic input unit 104 may input information indicating the current contents of the organization characteristic of the target organization, for example, by allowing the user to select the corresponding contents.

  Further, the fitness calculating means 106 calculates the theme fitness and the tissue fitness stored in the policy DB 105, the information indicating the tissue characteristics of the target organization input by the tissue characteristics input means 104, and the stress as the improvement theme. Based on the item information, the degree of conformity may be calculated for each measure by using the degree of organizational conformity according to the organizational characteristics of the target organization as a coefficient of theme degree of conformity according to the stress item.

  Further, the measure presenting means 107 may be any as long as it presents a recommended measure based on the calculated degree of suitability for each measure.

  With such a configuration, the measure proposal unit 100 can automatically and accurately propose a measure that is suitable for the target organization without the intervention of an expert.

  Note that the improvement theme determination unit 103 is not limited to the one that allows the user to select a stress item as an improvement theme and determine the improvement theme.

  In addition, the degree of tissue compatibility may include a negative value. Further, the value range of the tissue conformity may be different depending on the type of the tissue characteristic.

  FIG. 14 is a configuration diagram illustrating an example of the overall configuration of the organization improvement activity support system 1000 according to the present embodiment. As shown in FIG. 14, the organization improvement activity support system 1000 of the present embodiment further includes a measure information updating means 200, an activity report input means 201, an activity log DB 202, And house cooperation means 203.

  The measure information updating means 200 updates the measure information (for example, the theme relevance and / or organization relevance for each measure) stored in the measure DB 105 based on the activity log stored in the activity log DB 202 described later. A determination is made as to whether to update and / or notify the expert to information based on the analysis result of the activity log.

  The activity report input unit 201 inputs an activity report, which is information indicating the activity content of the organization that actually performed the activity. The activity report may be, for example, information indicating an activity status of a certain organization during a predetermined period (one month). Further, the activity report may be information such that it is possible to know who, what, how or how much activity was performed during the period. For example, the activity report may be information including information on the organization that performed the activity, information on the measure targeted for the activity, and information indicating the implementation status of the measure.

  Further, the activity report may include information on the effect. The information on the effect may be a result of stress diagnosis of a member belonging to the target organization. For example, the activity report may include a stress diagnosis result at the time of starting the measure and at the time of reporting the activity. Note that, of the information on the organization and the information on the measures, information that does not change during the activity implementation period may be stored as a basic setting when the measures are determined, and may be read as needed. In the following, information read in this manner is also treated as information that can be included in the activity report. Further, the activity report input unit 201 asks the user of the facilitator as an activity report after inputting information indicating the implementation status of the measure, and then asks whether or not information on the organization has been changed. For example, the information indicating the implementation status of the measure and the other information may be separately input such that the user inputs information on the organization.

  FIG. 15 is an explanatory diagram illustrating an example of the activity report input screen. FIG. 15 shows an example of an input screen on which the user inputs a measure activity and a member reactivity using a slide bar. The activity report input unit 201 outputs, for example, an input screen as shown in FIG. 15 and shows the user how much the activity report was implemented as information indicating the implementation status of the policy which is at least a part of the activity report. May be input, and a member response degree indicating the degree of the member's reaction to the activity may be input.

  Further, the activity report input means 201 may be mounted in each of various organizations to which a measure has been provided using the measure proposal means 100, and may input an activity report of the organization. Further, the activity report input unit 201 may be a server or the like that inputs activity reports of various organizations by providing a site or the like that can be accessed by the facilitator of each organization.

  The activity log DB 202 stores, for example, a plurality of activity reports input at the time of closing a measure or at the time of monthly activity report as an activity log. The activity log should include activity reports for multiple organizations. Each activity report stored as an activity log contains information on the theme selected by the organization that performed the activity, the organizational characteristics, the content of advice given to the organization, the time when measures were determined, and Relevance, agreement, activity (action evaluation value), response of members (emotion evaluation value), information shared among members (information on bulletin boards such as timeline) for measures during and during activity reporting, In such a case, information such as an idea point may be included.

  Here, the degree of agreement of the measure may be information that quantitatively indicates the degree of agreement of the members of the target organization for the measure. The activity of the measure may be any information that quantitatively indicates the degree of implementation of the target organization for the measure. The activity of the measure may be an evaluation value (action evaluation value) for a specific action related to the measure. The response of the member may be an evaluation value (emotion evaluation value) for the response of the member at the time of a specific action related to the measure.

  FIG. 16 is a block diagram showing a more detailed configuration example of the measure information updating means 200. As shown in FIG. 16, the measure information updating means 200 may include an activity log analyzing means 211, a weight recalculating means 212, and a master rewriting means 213.

  The activity log analysis unit 211 uses the activity log, which is a set of activity reports collected from various organizations, to select an effective measure and / or an improvement measure that is an effective measure for the improvement theme from the implemented measures. An ineffective measure, which is an ineffective measure for the theme, is extracted, and it is determined whether or not information on the measure managed as a master is automatically updated.

  For example, the activity log analysis unit 211 may automatically update the relevance to the improvement theme (theme relevance) among the information on the policies stored in the policy DB 105. Then, the activity log analysis unit 211 determines from the various information indicated by the activity log that the measures in the activity log are valid in accordance with the update conditions provided for each automatically updated target (hereinafter referred to as update target knowledge). It may be determined whether the measure is a measure or an ineffective measure.

  Hereinafter, some examples in the case where the update target knowledge is the theme matching degree will be described. FIG. 17 is an explanatory diagram showing an example of a theme suitability update condition. For example, when the update target knowledge is the theme relevance, the activity log analysis unit 211 determines the activity period, the number of members, the degree of agreement, and the like for the measure actually performed for a certain improvement theme indicated by the activity log. In accordance with the update condition using the activity level or the like, it may be determined whether the measure is an effective measure, an ineffective measure, or neither of them (judgment pending).

  The activity log analysis unit 211 uses, for example, the conditions shown in FIG. 17 to determine whether a measure implemented for a certain improvement theme included in the activity log is an effective measure, and whether the measure is an ineffective measure. It may be determined whether or not. Examples of conditions for determining whether or not the measure is an effective measure include, in addition to a condition regarding an effect that a change in each theme of a stress check result exceeds a predetermined threshold (for example, standard deviation ± α) in a direction of improvement, The following conditions may be included. Examples of the various conditions include, for example, an activity period having a predetermined threshold value (one year or more). Another example is that the number of members is equal to or more than a predetermined threshold (for example, 10 or more). Another example is that the degree of agreement is equal to or more than a predetermined threshold (for example, 60% or more). Another example is that the degree of activity is equal to or more than a predetermined threshold (for example, 70% or more). The update condition may include all of them, or may be a combination of one or more of them. By using such conditions, it is possible to extract, from the results of the stress check before and after the activity, measures that are considered to have general effects or great effects regardless of the organizational characteristics for the improvement theme.

  Similarly, as an example of a condition for determining whether or not the measure is an ineffective measure, a condition regarding an effect such that a change in a stress check result for each theme exceeds a predetermined threshold value (for example, standard deviation ± α) in a worsening direction. In addition, one or more conditions described above may be included. By using such conditions, from the results of the stress check before and after the activity, it is possible to extract a measure that is considered to have little or no general-purpose effect regardless of the organizational characteristics for the improvement theme.

  By defining the judgment conditions for automatic updating in that way, noise such as results that depend on special cases and organizational characteristics is removed, and only those that are highly accurate and relevant to the improvement theme Can be reflected on the master.

  When a measure for an improvement theme is determined to be an effective measure, the activity log analysis unit 211 may update the degree of conformity of the measure to the improvement theme in the plus direction. On the other hand, when a certain measure for an improvement theme is determined to be an ineffective measure, the activity log analysis unit 211 may update the degree of conformity of the measure to the improvement theme in the negative direction.

  Note that the update target knowledge is not limited to the theme conformance. FIG. 18 is an explanatory diagram illustrating an example of an update condition of the tissue conformity. The activity log analysis unit 211 can also use, for example, the organizational relevance as the update target knowledge. In this case, for example, the following conditions may be used instead of or in addition to the above-described determination conditions to determine whether or not to be an object of automatic updating. As an example of the update condition for the organization characteristic, the theme side determines that the measure is an effective measure (update in the positive direction), and the current degree of organization suitability is equal to or less than a predetermined value (for example, a negative value). In such a case, the current organizational characteristics can be judged to have no or little effect on the effect to the degree indicated by the assigned organizational fitness. May be the update target in the plus direction. Another example is that the theme has been determined to be an ineffective measure and the current degree of organizational relevance is equal to or less than a predetermined value (for example, a plus value). In such a case, as in the above, the current organizational characteristics can be determined to have no or little effect on the effect to the extent indicated by the degree of organizational relevance assigned to the theme. The relevance of the measure with respect to the organizational characteristics exhibiting such an effect may be set as a negative update target.

  Further, the activity log analysis means 211 determines whether or not the expert needs to review the organization characteristics when the activity logs indicate that the activity results for the same measure are different between the organizations having the same organization characteristics. May be requested from the expert coordinating means 203 to provide a notification to that effect and / or information necessary for the determination.

  The weighting recalculation means 212 recalculates the degree of conformity of an effective measure or an ineffective measure determined to be automatically updated by the activity log analysis means 211. Here, the weighting recalculation unit 212 determines, from the information on the measures stored in the measure DB 105, the relevance of the measure determined as an effective measure or an ineffective measure to the stress item corresponding to the specified improvement theme ( (Measure fitness) may be calculated again. In addition, the weighting recalculation unit 212 determines, among the information on the measures stored in the measure DB 105, the organizational characteristic that is an effective measure and is to be updated in the plus direction or an ineffective measure that is to be updated in the minus direction. The relevance (tissue relevance) for the obtained tissue characteristics may be recalculated.

  FIG. 19A is an explanatory diagram illustrating an example of a method of updating the theme suitability. When the knowledge to be updated is the theme relevance, the weight recalculation unit 212 may determine the renewed relevance by a method as shown in FIG. 19A. That is, at the time of acquiring the BJSQ difference, the degree of conformity of a theme that matches the condition may be set to +1 for an effective measure and -1 for an ineffective measure. The number to be added or subtracted is not limited to one. However, when calculating the value of the degree of change after the change, the weighting recalculating means 212 assumes that the master (information about the measures stored in the measure DB 105) is within the limited range of the degree of conformity.

  FIG. 19B is an explanatory diagram showing an example of the update result. For example, as shown in FIG. 19B, it is assumed that the result of evaluating BJSQ based on the activity log of the organization whose theme is “work load” as an improvement theme has an effect of +9. As a result, a case is considered where the measure taken by the organization for the improvement theme is an effective measure (a target to be updated in the positive direction). Since the difference of BJSQ, which is one of the update conditions, exceeds a predetermined threshold value (± 8 in this example), the update target is in the plus direction. Now, as shown in FIG. 19B, assuming that the current adaptation of the measure to “work load” is “3”, the weight recalculation unit 212 adds 1 to the current adaptation. Then, “4” may be calculated as the changed adaptability.

  Also, in FIG. 19B, when the BJSQ difference when a certain measure is taken for the improvement theme “discretion” is within the threshold, the conformity of the measure for the improvement theme is not updated (change Exempt). Similarly, in the example shown in FIG. 19B, the adaptability of a certain measure to the improvement theme "work satisfaction" is also excluded from the change because the obtained effect does not satisfy the update condition. In the example shown in FIG. 19B, the effect of a certain measure on the improvement theme “support from colleagues” exceeds the threshold value in the minus direction, and is therefore to be updated in the minus direction. In this case, assuming that the current relevance of the measure with respect to the improvement theme is “3”, the weight recalculation unit 212 subtracts 1 from the current relevance and obtains “2” as the post-change relevance. May be calculated.

  Further, FIG. 19B shows that even if a certain measure for the improvement theme “support from the boss” is regarded as an effective measure (target for updating in the positive direction), the current conformity of the measure to the improvement theme is considered. When the degree is the upper limit value, it is shown that the value is not updated (it is not changed).

  FIG. 20 is an explanatory diagram illustrating an example of a method of updating the degree of tissue conformity. When the knowledge to be updated is the tissue relevance, the weight recalculation means 212 may determine the renewed relevance by a method as shown in FIG. That is, at the time of acquiring the BJSQ difference, the degree of conformity associated with the value of the tissue characteristic that matches the condition may be set to +1 if the object is an update object in the plus direction, and may be -1 if the object is an object to be updated in the minus direction. . The number to be added or subtracted is not limited to one. However, when calculating the value of the degree of change after the change, the weighting recalculating means 212 assumes that the master (information about the measures stored in the measure DB 105) is within the limited range of the degree of conformity.

  Here, regarding the content of the update, the value of the organization characteristic that meets the condition is, for example, an attribute value included in each item of the organization characteristic (in the example of FIG. "29 years old or younger" or "30 to 39 years old". Therefore, in the case of only the value of the organization characteristic that matches the condition, it indicates only the attribute value that matches the condition among some attribute values included for each item of the organization characteristic. FIG. 21 is an explanatory diagram illustrating an example of an attribute value for each item of the organization characteristic.

  FIG. 22 is an explanatory diagram of an example of the update result of the degree of conformity of the tissue characteristic. For example, based on the result of a BJSQ of a certain measure performed on a certain improvement theme for an organization, the effect after January, when a predetermined period as an update condition has passed, is positive, and the measure is determined to be an effective measure. Suppose it was done. At this time, as shown in FIG. 22, when there is an attribute value in which the adaptability of the organization characteristic to the measure of the organization during the period is a negative value, the organization adaptability to the attribute value is in the positive direction. It will be updated. In the example illustrated in FIG. 22, the current degree of adaptation to the attribute value “80 h or more” of the item “average overtime” of the organization characteristic is “−2” (minus value). In such a case, the weighting recalculation unit 212 may add 1 to the current value as the updated value of the tissue suitability for the attribute value, and set the value to “−1”.

  FIG. 23 is an explanatory diagram showing another example of the update result of the degree of conformity of the tissue characteristic. For example, based on the result of a BJSQ of a certain measure for an improvement theme for a certain organization, the effect after January, when a predetermined period set as an update condition has passed, is negative, and the measure is an ineffective measure. Assume that it is determined. At this time, as shown in FIG. 23, when there is an attribute value in which the adaptability of the organization characteristic to the measure of the organization during the period is a positive value, the organization adaptability to the attribute value is in the negative direction. It will be updated. In the example shown in FIG. 23, the current degree of conformity to the attribute value “office” of the item “workplace” of the organization characteristic is “2” (plus value). In such a case, the weighting recalculation unit 212 may subtract “1” from the current value as the updated value of the tissue suitability for the attribute value, and set the value to “1”. Further, in the example shown in FIG. 23, the current degree of conformity to the attribute value “Pm” of the item “PM theory” of the organization characteristic is also “2” (plus value). In such a case, the weighting recalculation unit 212 may subtract “1” from the current value as the updated value of the tissue suitability for the attribute value, and set the value to “1”.

  The master rewriting means 213 reflects the updated value calculated by the weight recalculation means 212 on the master. Here, the number of the policy DBs 105 to be the master is not limited to one. For example, different masters may be managed for each industry. In such a case, the master rewriting means 213 may rewrite the information on the target master based on the activity log. Note that the system may be provided for each industry. In this case, the master rewriting means 213 may write information to the master provided in the system without regard to the industry to which the organization belongs.

  The update condition and the update method are not limited to the above example.

  For example, it is also possible to determine whether or not to update the organizational relevance using information posted by members and shared among the members (information on bulletin boards such as a timeline). For example, as shown in FIG. 24A, related words such as keywords associated with each of the organizational characteristics (such as terms frequently used in topics related to the organizational characteristics) may be registered in a dictionary or the like in advance. Good. In addition, as shown in FIG. 24 (b), a plus term (positive expression; a term often used in positive consciousness) and a minus term (negative expression; often used in negative consciousness) May be registered in a dictionary or the like in advance. In such a case, as shown in FIG. 25, the activity log analysis unit 211 adds a plus or minus term to the content written on the timeline or the like during the activity together with the registered keyword. It may be determined whether or not it has appeared. For example, when a plus term appears along with a keyword, it may be determined that the specific organizational characteristic at the time the opinion was written is working in a positive direction with respect to the measure being implemented at that time. In this case, the activity log analysis unit 211 may determine that the attribute value of the organization characteristic for the measure at that time is to be updated in the plus direction. Also, for example, when a negative term appears along with a keyword, it is determined that the specific organizational characteristic at the time the opinion was written is working in the negative direction with respect to the measure being implemented at that time. Is also good. In this case, the activity log analysis unit 211 may determine that the attribute value of the organization characteristic for the measure at that time is to be updated in the negative direction.

  Note that the activity log analysis unit 211 may consider not only terms that appear but also information on the number of members who agree with the opinion when determining whether or not to update the information.

  In addition, when the information stored in the measure DB 105 is changed, the master rewriting means 213 sends a notification of the change so that the expert can confirm the automatically updated content and supplement the content if necessary, in cooperation with the expert. This may be performed via the means 203.

  The activity log DB 202 is realized by, for example, a storage device such as a database system. Further, the measure information updating means 200 and the activity report input means 201 are realized by, for example, a computer, more specifically, a CPU that operates according to a program included in the computer. FIG. 16 shows an example in which the activity log analysis unit 211, the weight recalculation unit 212, and the master rewriting unit 213 are implemented as one processing unit, but these are implemented in separate devices. Is also good.

  The expert cooperation unit 203 notifies a registered expert of the information of the system, and receives access to the information held by the system from the expert. For example, the expert cooperation unit 203 may hold information on the rewriting history of the measure DB 105 by the master rewriting unit 213 and output the history information automatically or in response to a request from a predetermined expert. Further, the expert cooperation unit 203 may receive, for example, an access to the information stored in the measure DB 105 (a read request and a write request).

  For example, it is difficult to reflect in the policy DB 105 not only information of a policy in which a policy model in which expert knowledge is reflected in advance on the theme relevance and organizational relevance in advance but also a similar case where there is no similar example. You may want to register a measure. In such a case, the degree of theme relevance and organizational relevance are registered as temporary values for the measure, the activity report on the measure is awaited, and based on the collected activity logs, the theme relevance and It is conceivable to update the tissue relevance. In the process, the expert cooperation means 203 automatically updates the measures registered with the provisional values (measures not quoted in the model) so that the expert can manually supplement the parts that cannot be supplemented by the automatic update alone. In such a case, a predetermined user (expert) may be notified to that effect.

  At this time, the expert cooperation unit 203 may also notify the ID of the measure that has been automatically updated and information indicating a method of accessing the master information of the measure.

  Further, the expert cooperation means 203 may provide an interface (measure information change screen or the like) for a predetermined user to access master information of the measure. In such a case, it is preferable to provide an authentication unit for authenticating the user in the interface.

  Even if a new measure is registered without quoting a model, it can be used by various organizations as a more general-purpose measure by reflecting the expertise of experts based on the results of actual activities. become.

  In addition, the expert cooperation unit 203 may, for example, analyze the activity log by the activity log analysis unit 211 and find a contradiction in the relationship between the organization characteristics and the effect or the relationship between the theme and the effect for the same measure. The expert may be notified of this.

  FIG. 26 is an explanatory diagram illustrating an example of the contradiction determination process of the activity log analysis unit 211. As shown in FIG. 26, for example, the activity log analysis unit 211 satisfies update conditions (at least the result is stable for a predetermined period, etc.) with respect to the same measure among organizations having the same organization characteristic, In addition, it may be determined whether or not one is an update target in the plus direction and the other is an update target in the minus direction. In such a case, it may be determined that the measure causes inconsistency in the relationship between the organization characteristics and the effect or the relationship between the theme and the effect. In such a case, the activity log analysis unit 211 does not update the theme relevance and the organization relevance for the measure, but notifies the fact and / or analyzes the relevance of the theme or the reorganization of the organization characteristics. May be provided through the expert cooperation means 203.

  At this time, as shown in FIG. 27, when there is an item belonging to the same category in the organizational characteristics but having a different degree of variation as a whole, the expert cooperation unit 203 newly determines whether or not there is variation in the item. It may also be notified that it is added as an item, or that there is an item that can be subdivided, and that subdivision of the classification is proposed.

  FIG. 28 is a sequence diagram illustrating an example of an overall operation of the organization improvement activity support system 1000 according to the present embodiment. Note that FIG. 28 illustrates an organization A and an organization B as examples of target organizations, but the number of target organizations is not limited to two.

  In this example, when organization information or information on an improvement theme is input from the target organization A (301 in the figure), the measure proposal unit 100 refers to the measure DB 105 to propose a measure (301, in the figure). 303). In response to the proposal of the measure, the target organization A implements the measure and sequentially inputs the activity report into the activity log DB (304, 305 in the figure).

  Similar processing is performed on the organization B (306 to 310 in the figure).

  The measure information updating means 200 reads the activity log stored in the activity log DB 202 at a predetermined timing (for example, periodically), analyzes the contents, and if necessary, measures the policy stored in the measure DB 105. The information is updated (311-313 in the figure).

  As a result of analyzing the activity log by the measure information updating means 200, the expert cooperation means 203 notifies a predetermined user of the update history and provides information necessary for reviewing the organization characteristics (314 in the figure). ).

  As described above, according to the present embodiment, not only can the measure master be automatically updated, but also if necessary, specialists can be easily supplemented, or organizational characteristics that cannot be dealt with simply by updating the measure master. Since the review can be performed appropriately, it is possible to propose a wider range of measures suitable for each situation with an increase in the number of users and activity organizations.

  Next, the outline of the present invention will be described. FIG. 29 is a block diagram showing an outline of the present invention. As shown in FIG. 29, the organization improvement activity support system of the present invention includes a policy information storage unit 501, a policy proposal unit 502, a activity log storage unit 503, a activity log analysis unit 504, and a user cooperation unit 505. Have.

  The measure information storage unit 501 (for example, the measure DB 105) can take, for each measure, a theme adaptation degree indicating the degree of the effect of the measure for each of the predetermined stress items, and an organization characteristic which is a characteristic of the organization specified in particular. The system stores the degree of compatibility with the content, which is quantified as the degree of influence on the theme relevance of the compatibility of the content with the measure.

  The measure proposal means 502 (for example, the measure proposal means 100) proposes a measure to the organization based on the information stored in the measure information storage means 501.

  The activity log storage unit 503 (for example, the activity log DB 202) stores, as an activity log, two or more activity reports, which are information indicating the activity contents of the organization that actually performed the activity.

  The activity log analysis unit 504 (for example, the activity log analysis unit 211) is configured to display, based on the activity log stored in the activity log storage unit 503, a certain measure based on the information indicated by the information stored in the measure information storage unit 501. It is determined whether or not a contradiction has occurred in the relationship between the characteristic and the effect or the relationship between the theme and the effect.

  The user cooperation unit 505 (for example, the expert cooperation unit 203) notifies a predetermined user when the activity log analysis unit 504 determines that inconsistency has occurred.

  In addition, the activity log analysis means, as a result of performing the same measure between organizations having the same organizational characteristics, as a result, one of the organizations has a positive effect of a predetermined level or more, and the other organization has a negative effect of a predetermined level or more. If there is, the measure may be determined to have a contradiction in the relationship between the organization characteristics and the effect.

  In addition, the user cooperation means may notify together the information of the measure and the information of the activity log used when it is determined that the inconsistency has occurred.

  In addition, the user coordinating means notifies, when there is an item belonging to the same category but different in the degree of variation as a whole among the organizational characteristics used when it is determined that inconsistency has occurred, the fact is also notified. May be.

  Further, the user cooperation means may receive access from a predetermined user to information stored in the measure information storage means.

  Further, the organization improvement activity support system of the present invention includes a measure information updating means for updating the theme relevance or the organization relevance stored in the measure information storage based on the activity log stored in the activity log storage. In addition, the user cooperation means may notify a predetermined user when the measure information updating means updates the information.

  FIG. 30 is a block diagram illustrating a configuration example of an information processing apparatus according to the present invention. As shown in FIG. 30, the information processing apparatus of the present invention may be configured to include the above-described activity log analysis unit 504 and the user cooperation unit 505.

  As described above, the present invention has been described with reference to the exemplary embodiments and examples. However, the present invention is not limited to the exemplary embodiments and examples. Various changes that can be understood by those skilled in the art can be made to the configuration and details of the present invention within the scope of the present invention.

  INDUSTRIAL APPLICABILITY The present invention is suitably applicable not only to the workplace, but also to a use for supporting an activity of an organization to improve any problem that the organization has. In addition, the present invention can be suitably applied not only to planning of an initial measure, but also to an application in which a measure to be reviewed periodically is reviewed.

1000 Organization improvement activity support system 100 Measure proposal means 101 Check result DB
102 Result analysis means 103 Improvement theme determination means 104 Organization characteristic input means 105 Policy DB
106 Fitness calculating means 107 Measure presenting means 200 Measure information updating means 201 Activity report input means 202 Activity log DB
203 expert cooperation means 211 activity log analysis means 212 weight recalculation means 213 master rewriting means 501 measure information storage means 502 measure proposal means 503 activity log storage means 504 activity log analysis means 505 user cooperation means

Claims (8)

For each measure, the degree of compatibility between the theme, which indicates the degree of the effect of the measure for each of the specified stress items, and the compatibility of the measure with each of the possible contents of the organizational characteristics, which are the characteristics of the specified organization, are described. Measure information storage means for storing the organizational adaptation degree quantified as the degree of influence on the theme conformance degree,
Based on the information stored in the measure information storage means, a measure proposal means for proposing measures to the organization,
Activity log storage means for storing, as an activity log, two or more activity reports, which are information indicating the activity contents of the organization that actually performed the activity,
On the basis of the activity log stored in the activity log storage means, for a certain measure, there is no contradiction between the relationship between the organizational characteristics and the effect or the relationship between the theme and the effect indicated by the information stored in the measure information storage means. Activity log analysis means for determining whether or not it has occurred;
When it is determined that the inconsistency has occurred, comprising a user cooperation means for notifying a predetermined user ,
The activity log analysis means, as a result of performing the same measure between organizations having the same organizational characteristics, as a result, one of the organizations has a positive effect of a predetermined level or more and the other organization has a negative effect of a predetermined level or more. An organization improvement activity support system , characterized in that when the measure is taken, it is determined that the relationship between the organization characteristics and the effect has the contradiction . The organization improvement activity support system according to claim 1, wherein the user cooperation unit notifies the information of the measure and the information of the activity log used when it is determined that the inconsistency has occurred. The user cooperation means notifies, when there is an item belonging to the same category but different in the degree of variation as a whole among the organizational characteristics used when it is determined that the inconsistency has occurred, the fact is also notified. The organization improvement activity support system according to claim 1 or 2 . The organization improvement activity support system according to any one of claims 1 to 3 , wherein the user cooperation unit accepts an access from a predetermined user to information stored in the measure information storage unit. Based on the activity log stored in the activity log storage means, comprising a policy information update means for updating the theme relevance or organization relevance stored in the policy information storage means,
The organization improvement activity support system according to any one of claims 1 to 4 , wherein the user cooperation unit notifies a predetermined user when the measure information update unit has updated. Based on an activity log stored in an activity log storage unit that stores two or more activity reports as information indicating the activity contents of the organization that actually performed the activity, a predetermined policy information storage unit For each measure, compatibility between the theme relevance, which indicates the degree of the effect of the measure for each of the specified stress items, and the measure for each of the possible contents of the organizational characteristics that are the characteristics of the specified organization The relationship between the organization characteristic and the effect or the relationship between the theme and the effect indicated by the information stored in the measure information storage means that stores the organization suitability that is quantified as the degree of influence on the theme suitability as the degree of influence on the theme suitability. An activity log analysis means for determining whether or not the relationship is inconsistent;
When it is determined that the inconsistency has occurred, a user cooperation means for notifying a predetermined user ,
The activity log analysis means, as a result of performing the same measure between organizations having the same organizational characteristics, as a result, one of the organizations has a positive effect of a predetermined level or more and the other organization has a negative effect of a predetermined level or more. An information processing apparatus for determining that the relationship between the organizational characteristics and the effect has the contradiction when the measure is taken . Based on the activity log stored in the activity log storage unit, the information processing device stores two or more activity reports as information indicating the activity content of the organization that actually performed the activity. A measure information storage unit, for each measure, for each theme that indicates the degree of the effect of the measure for each of the predetermined stress items, and for each of the possible contents of the organizational characteristics that are the characteristics of the organization specified. The relationship between the organizational characteristics and the effect indicated by the information stored in the measure information storage means for storing the organizational adaptation degree quantified as the degree of influence on the theme adaptation degree of the compatibility with the measure, or Determine whether the relationship between the theme and the effect is inconsistent,
The information processing apparatus, if the conflict is determined to have occurred, had the row notification to a predetermined user,
The information processing device,
When judging whether or not the contradiction occurs, as a result of performing the same measure between organizations having the same organizational characteristics, one of the organizations has a positive effect that is equal to or greater than a predetermined value, and the other organization has a predetermined positive effect. A method for supporting an organizational improvement activity, characterized in that when there is the above-mentioned negative effect, it is determined that the relationship between the organizational characteristics and the effect has the contradiction in the measure. On the computer,
Based on an activity log stored in an activity log storage unit that stores two or more activity reports as information indicating the activity contents of the organization that actually performed the activity, a predetermined policy information storage unit For each measure, compatibility between the theme relevance, which indicates the degree of the effect of the measure for each of the specified stress items, and the measure for each of the possible contents of the organizational characteristics that are the characteristics of the specified organization The relationship between the organization characteristic and the effect or the relationship between the theme and the effect indicated by the information stored in the measure information storage means that stores the organization suitability that is quantified as the degree of influence on the theme suitability as the degree of influence on the theme suitability. A process of determining whether or not a contradiction has occurred in the relationship, and a process of notifying a predetermined user when it is determined that the contradiction has occurred ,
On the computer,
In the process of determining whether the inconsistency has occurred,
If organizations that have the same organizational characteristics act on the same measure and one of the organizations has a positive effect that is higher than a predetermined value and the other organization has a negative effect that is higher than a predetermined value, the relevant , Determine that there is a contradiction in the relationship between organizational characteristics and effects
Because of organizational improvement activities support program.

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