Work selection support device, work selection support method, and program

Abstract

A business selection support device, a business selection support method, and a program are provided that can support the selection of a business to be improved. [Solution] The system includes an acquisition unit that acquires first survey results, which are the results of a first questionnaire that investigates quantitative and qualitative items related to target business operations, and acquires second survey results, which are the results of a second questionnaire that investigates attitudes toward business improvement, and an analysis unit that calculates the priority of business improvement for each target business operation using the first survey results and the second survey results.

Description

[Technical Field]

[0001] The present invention relates to a task selection support device, a task selection support method, and a program. [Background technology]

[0002] Conventionally, government agencies, private companies, and the like have considered improving their operations. For example, they investigate the current processes of operations and consider ways to improve the efficiency of operations by, for example, reviewing the rules for the most time-consuming processes from the perspective of digitalization and reducing man-hours. This method of improving operations from the perspective of processes is known as BPR (Business Process Reengineering). For example, Patent Document 1 discloses a technology that identifies useful business knowledge for each case and provides accurate suggestions for effective business improvements. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent Publication No. 2021-96708 Summary of the Invention [Problem to be solved by the invention]

[0004] However, government agencies and private companies perform a huge amount of work. Patent Document 1, mentioned above, does not consider which of these numerous tasks should be selected as targets for business improvement. Business improvement often involves changing existing workflows. This places a heavy burden on the frontline employees targeted for business improvement, which can lead to resentment and a decline in morale. Simply selecting the most time-consuming task or the department with the most overtime hours as the target for business improvement may not be persuasive to frontline employees, resulting in a lack of cooperation from the frontline employees and a lack of progress in business improvement. Therefore, it is desirable to appropriately select priority tasks for business improvement and to obtain evidence supporting the selection.

[0005] In view of the above-mentioned problems, an object of the present invention is to provide a task selection support device, a task selection support method, and a program that can support the selection of a task to be improved. [Means for solving the problem]

[0006] In order to solve the above-mentioned problems, a task selection support device according to one aspect of the present invention includes an acquisition unit that acquires first survey results that are survey results of a first questionnaire that investigates quantitative items and qualitative items related to a target task, and acquires second survey results that are survey results of a second questionnaire that investigates attitudes toward task improvement, and A first score calculated based on the perspective of visualizing the target business and a second score calculated based on the perspective of visualizing the issues that the target business has are added together to obtain a total score. and an analysis unit that calculates the priority of business improvement for each of the target businesses.

[0007] A task selection support method according to one aspect of the present invention is a task selection support method performed by a computer that is a task selection support device, in which an acquisition unit acquires first survey results that are survey results of a first questionnaire that investigates quantitative and qualitative items related to a target task, and acquires second survey results that are survey results of a second questionnaire that investigates attitudes toward task improvement, and an analysis unit uses the first survey results and the second survey results to A first score calculated based on the perspective of visualizing the target business and a second score calculated based on the perspective of visualizing the issues that the target business has are added together to obtain a total score. The priority of business improvement is calculated for each of the target businesses.

[0008] A program according to one aspect of the present invention causes a computer that is a business selection support device to acquire, by an acquisition unit, first survey results that are survey results of a first questionnaire that investigates quantitative items and qualitative items related to a target business, and acquire second survey results that are survey results of a second questionnaire that investigates attitudes toward business improvement, and to perform an analysis using the first survey results and the second survey results. A first score calculated based on the perspective of visualizing the target business and a second score calculated based on the perspective of visualizing the issues that the target business has are added together to obtain a total score. The program calculates the priority of business improvement for each of the target businesses. [Effects of the Invention]

[0009] According to the present invention, it is possible to assist in the selection of a business to be targeted for business improvement. [Brief explanation of the drawings]

[0010] [Figure 1] 1 is a block diagram showing an example of the configuration of a task selection support system according to an embodiment; [Figure 2] FIG. 2 is a sequence diagram showing a flow of processing performed by the task selection support system according to the embodiment. [Figure 3] FIG. 4 is a diagram showing an example of a first questionnaire according to the embodiment. [Figure 4] FIG. 10 is a diagram showing an example of a second questionnaire according to the embodiment. [Figure 5] FIG. 2 is a diagram for explaining a process performed by a task selection support device according to an embodiment. [Figure 6] FIG. 2 is a diagram for explaining a process performed by a task selection support device according to an embodiment. [Figure 7] FIG. 2 is a diagram for explaining a process performed by a task selection support device according to an embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0011] Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

[0012] <Configuration of the business selection support system> The configuration of a task selection support system 1 according to an embodiment will be described with reference to Fig. 1. Fig. 1 is a block diagram showing an example of the configuration of the task selection support system according to this embodiment. The task selection support system 1 shown in Fig. 1 is a system for supporting the selection of tasks to be targeted for task improvement in tasks performed by organizations such as government agencies and private companies. For example, task improvement is performed by investigating the process of tasks performed by the organization and applying a method for improving tasks from a process perspective, such as BPR (Business Process Reengineering).

[0013] In the following, an example will be described in which the organization is a government agency that provides administrative services to residents. However, the present invention is not limited to this. The task selection support system 1 of this embodiment can be applied to any organization that performs multiple tasks, regardless of whether it is a government agency or a private company.

[0014] The business selection support system 1 includes, for example, a business selection support device 10 and a plurality of business groups G (business groups G1, G2, G3, ...). The business selection support device 10 and each of the business groups G are connected so as to be able to communicate with each other. A business group G is a group of terminals provided for each business, and is made up of a leader terminal GL and multiple member terminals GM. The group of terminals provided for a business group G can be, for example, PCs (personal computers) operated by each member of the organization (group) that carries out the business (for example, staff members belonging to a department or group in a city hall). The leader terminal GL is a terminal device operated by a member who will be the leader of the business when carrying out the business. The member terminal GM is a terminal device operated by each member in charge of carrying out the business. The business selection support device 10 is a computer that supports the selection of business operations to be targeted for business improvement. For example, a PC, a server, or a cloud can be used as the business selection support device 10. The business selection support device 10 conducts a business survey of the business operations being performed in a business group G. In this embodiment, the business survey involves conducting a first questionnaire and a second questionnaire, which will be described later. The business selection support device 10 analyzes the results of the business survey from the perspective of selecting business operations to be targeted for business improvement, and outputs the analysis results.

[0015] <Processing flow of the business selection support system> The flow of processing performed by the task selection support system 1 according to the embodiment will be described with reference to Fig. 2. The task selection support system 1 executes three main processes, steps S10, S20, and S30.

[0016] In step S10, a process is performed in which a first questionnaire is conducted and the results of the survey (first survey result) are obtained. The first questionnaire is conducted for business leaders and is a questionnaire for conducting a survey regarding the business. The business selection support device 10 notifies the leader terminal GL of the first questionnaire (step S101). The first questionnaire is provided in a format in which answers are entered to questions written on a survey sheet in application software (spreadsheet software) for performing spreadsheet calculations. For example, the business selection support device 10 sends an email to which an electronic file of the first questionnaire containing the questions is attached. Alternatively, the business selection support device 10 notifies, by email, information indicating the location where the electronic file of the first questionnaire containing the questions is stored, for example, a URL (Uniform Resource Locator). In this way, the business selection support device 10 notifies the first questionnaire. When the leader terminal GL receives the electronic file of the first questionnaire, it inputs answers to the questions in the received first questionnaire (step S102). The leader terminal GL uploads the inputted electronic file of the first questionnaire to a location provided for submission, for example, a location indicated by a submission URL (step S103). The business selection support device 10 accesses the submission URL and acquires the inputted electronic file of the first questionnaire (step S104).

[0017] In step S20, a process is performed in which a second survey is conducted and the survey results (second survey results) are obtained. The second survey is conducted for each member who is in charge of performing the work, and is a survey to investigate their attitudes toward work improvement. The work selection support device 10 notifies the member terminal GM of the second survey (step S201). The second survey is provided, for example, in a web format in which answers are entered to questions displayed on a specific website. For example, the work selection support device 10 posts the URL of the site containing the questions on an electronic bulletin board or notifies the member by email. In this way, the work selection support device 10 notifies the member of the second survey. The member terminal GM acquires the URL of the second questionnaire site, accesses the acquired URL (step S202), and inputs answers to the questions on the second questionnaire site (step S203). By sending the answers entered in the second questionnaire, the entered second questionnaire is stored on the site. The job selection support device 10 accesses the site and acquires the input results of the second questionnaire (step S204).

[0018] In step S30, the first survey result obtained from the first questionnaire and the second survey result obtained from the second questionnaire are analyzed from the viewpoint of selecting target tasks for business improvement. The specific method by which the task selection support device 10 analyzes the survey results will be described in detail later.

[0019] In this manner, in this embodiment, two questionnaires (first questionnaire and second questionnaire) are administered to the business group G as a business survey to investigate the actual state of business.

[0020] Traditionally, business surveys aimed at improving business processes have required participants to fill out a number of steps (flows) to show the process of how a business is carried out, and the work content and time required for each step, making them a burdensome survey requiring participants to spend 2-5 hours answering questions for each task. While these tasks are necessary to identify targets for business improvement, business improvement is not always implemented in the original departments that cooperate with the survey (departments or groups that responded to questionnaires, etc.), and business improvement proposals are often only made for a small portion of the many tasks. This only increases the burden on the original departments, and often results in no improvement at all in business processes, leading to a high level of dissatisfaction with business surveys.

[0021] In contrast, in this embodiment, the phase of business improvement is divided into two: a first phase in which the business to be improved is selected, and a second phase in which improvement targets of the selected business are extracted. Specifically, in the first phase, only the items necessary for selecting tasks are investigated, and then a detailed investigation of the flow of tasks selected as improvement targets is conducted again in the second phase. This reduces the amount of work investigation required in the first phase, and by conducting detailed investigations of tasks that are likely to be improved, it is possible to reduce dissatisfaction with the investigation and make it easier to obtain cooperation with the investigation.

[0022] In addition, in the first phase, we conducted qualitative research in addition to quantitative research on workload and other matters. Qualitative research involves investigating the subjective views of the members of the group (including leaders and members) who carry out the work, such as their emotions and motivations, and investigating whether they have any awareness of business improvement issues, such as whether they view business improvement positively and want to actively pursue it, or whether they want to maintain the status quo and view business improvement negatively, and how they would feel if a new system related to business improvement were introduced. In this way, conducting qualitative research in addition to quantitative research makes it possible to determine whether business improvement is likely to be accepted, and in the selection process, it becomes possible to prioritize business improvement for groups that are likely to accept it, for example. In this embodiment, the first questionnaire is a qualitative survey of the leaders of the work regarding their perception of issues in the work, and the second questionnaire is a qualitative survey of the members (e.g., staff) who perform the work.

[0023] In this embodiment, the answer format for both the first and second questionnaires is multiple choice or a format in which values ​​such as time, number of people, or ratios are entered, and no free description field is provided, which reduces the effort required for answering. Furthermore, a check sheet may be provided corresponding to the input sheet for inputting answers to questions in the first questionnaire. The check sheet has a function of detecting answer fields on the input sheet where missing or duplicated entries are suspected, triggered by the operation of a check button provided on the input sheet, and displaying the background of the extracted answers in a display mode that differs from the background of other answer fields, such as red or yellow. By using this check sheet, missing or duplicated entries can be easily detected, and it becomes easy to eliminate missing or duplicated entries. In the following, the configuration of the first phase will be mainly described, and a detailed description of the second phase will be omitted since various techniques are publicly known.

[0024] Specifically, in the first phase, we will investigate the items necessary for selecting tasks, which will help us classify the many tasks that the organization has from the perspective of task improvement. This investigation will be carried out using the first questionnaire.

[0025] FIG. 3 is a diagram showing an example of a first questionnaire according to an embodiment. As shown in this figure, the first questionnaire has the following items: number, question category, and question. The number is a number assigned to each question. The question category indicates the category of the question. The questions are specific questions to be answered by the business leader. The business leader answers the first questionnaire by inputting answers to each of the questions.

[0026] In this diagram, the question categories are set to one of the following: affiliation, number of staff, workload, job name, job category, job structure, job nature, perceived issues, and service quality. Of these, questions categorized as affiliation, job name, or job category are questions for identifying the job. These questions are designed so that they can be easily answered by selecting from pre-set options in the first questionnaire.

[0027] On the other hand, questions that are classified into the following categories: workload, number of staff, work structure, work nature, sense of issues, and quality of service are questions used to classify the many tasks that an organization has from the perspective of work improvement.

[0028] The survey on workload aims to find out which tasks take the most time, with the aim of visualizing the annual workload for each task.These questions are designed to be easily answered by entering numerical values ​​such as time and number of staff in the first questionnaire. Workload can be surveyed using several measures, such as work hours, number of tasks, work hours per employee, etc. In order to minimize the effort required for response, the first questionnaire surveyed only the total time required to perform the tasks, and did not break down the tasks into multiple processes and survey the work hours for each process. In addition, if the purpose or effect of business improvement is to reduce overtime hours or the working hours per employee, the number of employees in charge of the work and the overtime hours worked by all employees will also be investigated as part of a survey on the workload.

[0029] The survey on work structure investigates, for example, the ratio of routine work to non-routine work, the ratio of core work to non-core work, and the ratio of work directly related to administrative services to work not directly related to administrative services. These questions are structured so that they can be easily answered by entering the numerical values ​​corresponding to the ratios in the first questionnaire. Routine tasks are tasks that have set procedures and rules, and can be performed even by members who are unfamiliar with the task. Non-routine tasks are tasks that require a response to the situation, and must be performed by members who are familiar with the task using rules of thumb. Core tasks are tasks for which only specific personnel (e.g., regular employees) can make decisions. Non-core tasks are tasks that can be performed by any personnel (e.g., fiscal year contract employees or temporary employees) as well as specific personnel. Work directly related to administrative services includes front-line work, such as receiving consultations and requests for various procedures from users of administrative services (for example, citizens), and back-office work, such as issuing procedural documents in response to consultations and procedures from citizens. Work not directly related to administrative services includes work related to policy planning, general affairs, general affairs, accounting and finance, and the management and operation of the organization.

[0030] The survey on the nature of work will investigate, for example, the status of manualization of work, the status of restrictions imposed by ordinances or rules, the status of data storage, the status of analysis, the status of judgment by systems, etc. These questions are structured in the first questionnaire so that respondents can easily answer by selecting from options provided in advance corresponding to each situation. The status of manualization refers to the degree to which manuals have been prepared for tasks that can be manualized. Responses to questions in this category are made by selecting one of three options: "All manuals exist," "Only some manuals exist," or "No manuals exist." The situation of restrictions imposed by ordinances or rules, etc. refers to the degree to which it is difficult to change (improve) operations due to restrictions. Responses to questions in this category are made by selecting whether or not specific restrictions apply. Specific restrictions include, for example, the need to meet face-to-face with users of administrative services (citizens, etc.), the need for approval from multiple people for payments, and the need for an official seal. The data storage status is the degree to which the information (data) used in the execution of business is digitized. The answers to the questions in this category are given by selecting one of three options: all information is digitized, there is a mixture of digitized information and information stored in paper form, or there is no digitized information and all information is stored in paper form. The status of analysis, etc. refers to the degree to which the analysis method is systematized. Analysis involves compiling data on the status of work implementation and calculating work progress. Systematization also refers to performing some or all of the routine work using functions such as spreadsheet software, such as macro functions that can execute a series of processes consisting of multiple operations. Answers to questions in this category can be analyzed using, for example, a systematized tool. Respondents can select one of three options: "It is not systematized and the staff analyzes it independently," or "No analysis is performed." The situation of system-based judgment refers to the degree to which systemized tools are used in judgments required in the process of carrying out work, such as judgments on examination or certification. Responses to questions in this category are made by selecting one of three options: judgments can be made using systemized tools; judgments are not made using systemized tools and are made manually by staff; or there is no work requiring judgment.

[0031] The survey on perceived issues investigates the degree of awareness of issues in business. Responses to questions categorized in this question category are made by selecting one of three options: aware of issues and currently implementing improvement measures, aware of issues and considering improvement measures, or not aware of issues. Furthermore, if "aware of issues and currently implementing or considering improvement measures" is selected, specific improvement measures may be selected from the options. Specific improvement measures may include, for example, the introduction of digital tools, systemization, and streamlining operations.

[0032] Surveys on service quality investigate the quality of services provided by businesses that provide services (for example, administrative services). Responses to questions categorized into this question category are given by selecting one of three options - often, sometimes, or rarely - regarding the feedback received from users (citizens, etc.) of the service. Responses received from users (citizens, etc.) include negative comments such as the explanations being difficult to understand and mistakes being made, and positive comments such as the explanations being easy to understand and the waiting time being short, and other options are set.

[0033] 4 is a diagram showing an example of the second questionnaire according to the embodiment. As shown in this figure, the second questionnaire asks whether or not a member is aware of problems with their work by selecting one of five options, such as "often," "occasionally," "occasionally," "rarely," and "none." Questions about awareness of problems with work in the second questionnaire may include, for example, the attitude of the department (or group) in which the member is responsible for work toward improving work, the atmosphere in the workplace toward improving work, etc.

[0034] Returning to the explanation of FIG. 1, the business selection support device 10 includes a distribution unit 101, an acquisition unit 102, an analysis unit 103, an output unit 104, a first survey result storage unit 105, a second survey result storage unit 106, and an analysis result storage unit 107. The distribution unit 101 distributes questionnaires (first and second questionnaires) related to business surveys. The distribution unit 101 distributes the questionnaires by notifying the leader terminal GL of the electronic file of the first questionnaire and notifying the member terminal GM of the URL of the second questionnaire. The acquisition unit 102 acquires survey results related to a business survey. The acquisition unit 102 acquires the survey results by acquiring the electronic file of the completed first survey from the site of the submission URL and acquiring the completed second survey from the URL of the web survey. The acquisition unit 102 stores the completed first survey results in the first survey result storage unit 105. The acquisition unit 102 stores the completed second survey results in the second survey result storage unit 106.

[0035] The analysis unit 103 analyzes the investigation results (the first investigation result and the second investigation result). Here, a specific method for analyzing the survey results by the analysis unit 103 will be described with reference to Fig. 5 to Fig. 7. Fig. 5 to Fig. 7 are diagrams for explaining the processing performed by the task selection support device according to the embodiment.

[0036] FIG. 5 shows a schematic flow of the process related to the analysis performed by the analysis unit 103. As shown in this figure, the analysis unit 103 acquires the results of two types of surveys (first and second surveys). Based on the acquired survey results, the analysis unit 103 analyzes the survey results by (1) visualizing the tasks, (2) visualizing the issues, and (3) scoring and weighting. Then, the analysis unit 103 generates a list of candidate tasks with high priority for business improvement as a result of the analysis.

[0037] (1) Visualization of work means calculating the workload based on the survey results. Based on the perspective of (1) visualization of work, the analysis unit 103 performs analysis on, for example, the following analysis items. These analysis items are examples of "first indicators."

[0038] (1)-1. Business Hours (1)-2. Business structure

[0039] (1)-1. Business hours The analysis unit 103 derives the task hours using the answers to the questions categorized as workload in the first questionnaire. For example, the analysis unit 103 determines the annual task hours for each task as the task hours as the analysis result. Furthermore, the analysis unit 103 may generate a graph (for example, a bar graph) showing the task time for each task as the analysis result.

[0040] (1)-2. Business Structure The analysis unit 103 derives the business structure using the answers to the questions categorized as the business structure as the question classification of the first questionnaire. For example, the analysis unit 103 determines the business structure as the analysis result, such as the ratio of routine tasks / non-routine tasks in the business, or the ratio of core tasks / non-core tasks. The analysis unit 103 may also generate, as the analysis results, graphs (for example, pie charts) showing the ratio of routine tasks / non-routine tasks, the ratio of core tasks / non-core tasks, etc. Furthermore, the analysis unit 103 may also generate, as the analysis results, graphs showing the ratio of tasks directly related / not related to administrative services, the ratio of each task classification (front-office tasks / back-office tasks, policy planning / general affairs / general affairs / accounting / organizational management / operations), etc.

[0041] (2) Visualization of issues means extracting business issues from the perspective of business improvement based on the survey results. Based on the perspective of (2) Visualization of issues, the analysis unit 103 performs analysis, for example, on the following analysis items. These analysis items are examples of "second indicators."

[0042] (2)-1. Degree of work load (2)-2. Degree of digitalization (2)-3. Service Issues (2)-4. Status of business standardization (2)-5. Inconsistencies in business conditions (2)-6. Status of consideration of issues (2)-7. Degree of motivation for improvement (2)-8. Strength of restrictions due to external factors such as ordinances

[0043] (2)-1. Degree of work load The analysis unit 103 derives the degree of workload using the answers to questions categorized into the number of staff and workload as question categories in the first questionnaire. For example, the analysis unit 103 calculates the workload level as the workload hours or overtime hours per staff member, which is calculated by dividing the workload hours or overtime hours by the number of staff members. Here, the greater the workload level, the greater the workload per staff member.

[0044] (2)-2. Degree of digitalization The analysis unit 103 derives the degree of digitization using answers to questions categorized into the business nature category as the question classification of the first questionnaire. For example, the analysis unit 103 derives the degree of digitization based on options selected as answers to questions regarding the data storage status, the analysis status, etc., and the system determination status. For example, the question regarding the data storage status may include three options: "All information is digitized," "There is a mixture of digitized information and information stored on paper," and "No digitized information and all information is stored on paper." In this case, the analysis unit 103 determines that the degree of digitization is highest when the option "All information is digitized" is selected. It determines that the degree of digitization is normal when the option "There is a mixture of digitized information and information stored on paper" is selected. It determines that the degree of digitization is lowest when the option "No digitized information and all information is stored on paper" is selected. The degree of digitalization can be derived for each question regarding the status of analysis, etc. and the status of system-based judgment in the same way as in the case of data storage status.

[0045] (2)-3. Service Issues The analysis unit 103 derives issues with the service using answers to questions categorized as part of a survey on service quality as the question classification of the first questionnaire. For example, the analysis unit 103 classifies the content of comments received from users (citizens, etc.) who use the service into positive content and negative content, and tallies the number of comments that fall into each category.

[0046] (2)-4. Status of standardization of business operations The analysis unit 103 derives the standardization status of the work using answers to questions categorized by work nature as question classifications in the first questionnaire. For example, the analysis unit 103 calculates the degree to which the work is standardized according to an option selected as an answer to a question about the status of manualization. For example, suppose that the question about the status of manualization has three options: a manual exists, only a partial manual exists, and no manual exists. In this case, the analysis unit 103 determines that the degree to which the work is standardized is the highest when the option "a manual exists" is selected. If the option "only a partial manual exists" is selected, the degree to which the work is standardized is average. If the option "no manual exists" is selected, the degree to which the work is standardized is lowest.

[0047] (2)-5. Contradictions in business conditions The analysis unit 103 derives inconsistencies in the business status using answers to questions categorized by business nature as question classifications in the first questionnaire. For example, the analysis unit 103 calculates a score according to a combination of options selected as answers to each question about the status of data storage, analysis, etc. Here, the status of data storage and the status of analysis, etc., are proportional and usually correlated from the perspective of digitalization. For example, if the status of data storage is "all information is digitized," the status of analysis, etc. is considered to be "analysis can be performed using a systemized tool," but not "a system is not in place and staff analyze independently." On the other hand, if the data storage status is "all information is digitized," but the analysis status is "not systematized and staff analyze independently," it can be assumed that the data storage status and the analysis status are not linked, resulting in a contradiction in the business status. When such a contradiction occurs, it is considered that the business has some issues from the perspective of business improvement, such as inaccurate investigation of both or either the data storage status and the analysis status, and that it should be selected as a target for business improvement. From this perspective, the analysis unit 103 derives the magnitude of the contradiction in the business status.

[0048] Figure 6 shows the relationship between data storage status and analysis status. The vertical axis of Figure 6 shows the options selected for the question about data storage status. The horizontal axis of Figure 6 shows the options selected for the question about analysis status. In this diagram, the number of the option selected for the question about data storage status and the number of the option selected for the question about analysis status, etc., usually have a positive correlation. For example, if option 1 is selected for the question on the horizontal axis (analysis status, etc.), an option with a number close to the number selected on the horizontal axis, such as 1 or 2, will usually be selected for the question on the vertical axis (data storage status). Also, if option 3 is selected for the question on the horizontal axis (analysis status, etc.), an option with a number close to the number selected on the horizontal axis, such as 3 or 4, will usually be selected for the question on the vertical axis (data storage status). From this perspective, the analysis unit 103 divided the combinations of options that can be taken as answers to the questions in the graph shown in Fig. 6 into a first contradiction region, a consistent region, and a second contradiction region. The first contradiction region is a region that includes a contradictory combination of answers, where data storage conditions tend to be poor (not digitized) while analysis tends to be easy (systemized). The second contradiction region is a region that includes a contradictory combination of answers, where data storage conditions tend to be good (digitized) while analysis tends to be difficult (staff members analyze independently). The consistent region is a region that includes a consistent combination of answers, where analysis tends to be difficult when data storage conditions tend to be poor, and analysis tends to be easy when data storage conditions tend to be good.

[0049] The analysis unit 103 derives the degree of inconsistency in the business status according to the distance from the position where the point corresponding to the answer combination is plotted to the consistency area in the graph of Fig. 6. For example, the analysis unit 103 derives the degree of inconsistency in the business status by assuming that the further away from the consistency area the point is, the greater the degree of inconsistency in the business status.

[0050] (2)-6. Status of consideration of issues The analysis unit 103 derives the status of consideration of the issue using answers to questions categorized as "problem awareness" in the question classification of the first questionnaire. For example, the analysis unit 103 derives the degree of problem awareness according to an option selected as an answer to a question asking whether the person is aware of the issue. For example, the question asking whether the person is aware of the issue may have three options: "Aware of the issue and currently taking improvement measures," "Aware of the issue and currently considering improvement measures," and "Not aware of the issue." In this case, the analysis unit 103 determines that the degree of problem awareness is highest when the option "Aware of the issue and currently taking improvement measures" is selected. The degree of problem awareness is average when the option "Aware of the issue and currently considering improvement measures" is selected. The degree of problem awareness is lowest when the option "Not aware of the issue" is selected.

[0051] (2)-7. Degree of motivation for improvement The analysis unit 103 derives the degree of motivation for improvement using the answers to the questions in the second questionnaire. For example, the analysis unit 103 derives the degree of motivation for improvement according to the option selected as the answer to the question regarding awareness of problems with work. For example, assume that there are five options, such as "often," "sometimes," "occasionally," "rarely," and "never." In this case, the analysis unit 103 determines that the degree of motivation for improvement is greatest when the option "often" is selected. The degrees of motivation for improvement decrease in the order of "sometimes," "occasionally," "rarely," and "never."

[0052] (2)-8. Strength of restrictions due to external factors such as ordinances The analysis unit 103 derives the status of consideration of the issue using answers to questions categorized by business nature as question classifications in the first questionnaire. For example, the analysis unit 103 derives the degree of constraint depending on the number of options selected as answers to a question about the status of constraints due to ordinances, rules, etc. For example, assume that there are three options: the administrative service must be conducted in person with the user (e.g., a citizen), multiple people must approve the payment, and an official seal is required. In this case, the analysis unit 103 determines that the degree of constraint is greatest when all three options are selected. Next, the degree of constraint decreases when any two of the three options are selected, and then when any one of the three options is selected.

[0053] (3) Scoring refers to assigning a score to the degree of analysis items analyzed from the perspective of (1) business visualization and (2) issue visualization. Weighting refers to weighting the scored values ​​in accordance with the business improvement policy.

[0054] First, the analysis unit 103 performs scoring. (1)-1. Regarding task time, for example, the analysis unit 103 assigns a score according to task time, for example, a score that increases the longer the task time, thereby converting task time into a score. (1)-2. Regarding business structure, for example, the analysis unit 103 scores the business structure by setting a score according to the business structure, for example, a score that increases the greater the proportion of routine tasks, or a score that increases the greater the proportion of non-core tasks. (2)-1. Regarding the degree of work load, for example, the analysis unit 103 converts the degree of work load into a score by setting a score according to the degree of work load, for example, a score that increases the greater the work load. (2)-2. Regarding the degree of digitization, for example, the analysis unit 103 assigns a score according to the degree of digitization. For example, the analysis unit 103 assigns a score to the degree of digitization by setting a larger numerical value as the degree of digitization increases. (2)-3. Regarding issues with the service, for example, the analysis unit 103 assigns a score to the service issues by multiplying a numerical value corresponding to whether the content of the comments received from users (citizens, etc.) using the service is positive or negative by the number of comments classified into each category. (2)-4. Regarding the standardization status of the business, for example, the analysis unit 103 assigns a score according to the degree to which the business is standardized. For example, the analysis unit 103 assigns a score that is larger the greater the degree to which the business is standardized, thereby assigning a score that is larger the value. (2)-5. Regarding the inconsistency in the business status, for example, the analysis unit 103 assigns a score according to the degree of inconsistency in the business status. For example, the analysis unit 103 assigns a score that is larger the greater the degree of inconsistency in the business status, thereby assigning a score to the degree of inconsistency in the business status. (2)-6. Regarding the status of consideration of the issue, for example, the analysis unit 103 assigns a score according to the degree of problem awareness. For example, the analysis unit 103 assigns a score to the degree of problem awareness by setting a higher score the greater the degree of problem awareness. Furthermore, when a response to a question indicates that there is problem awareness, the analysis unit 103 may assign a score to the status of consideration of the issue by multiplying the score by the number of improvement measures that are being implemented or considered. (2)-7. Regarding the degree of motivation for improvement, for example, the analysis unit 103 scores the degree according to the magnitude of the degree of motivation for improvement. For example, the analysis unit 103 scores the degree of motivation for improvement by setting a larger score as the magnitude of the degree of motivation for improvement increases. (2)-8. Regarding the strength of constraints due to external factors such as ordinances, for example, the analysis unit 103 scores the degree of constraint. For example, the analysis unit 103 scores the degree of constraint by setting a larger score as the degree of constraint increases.

[0055] Next, the analysis unit 103 performs weighting. An example of weighting is shown in Figure 7. Figure 7 shows the analysis name, analysis items, standard, and pattern 1, along with the details for each item. The analysis name shows (1) visualization of work and (2) visualization of issues. The analysis items show the analysis items analyzed from various perspectives for (1) visualization of work and (2) visualization of issues. In this figure, the standard items show the percentage of each analysis item when standard weighting is used. When standard weighting is used, a uniform percentage (10%) is set for each score of the analysis item. The items in Pattern 1 show the percentage (%) of each analysis item when weighting is based on a policy that emphasizes task time and workload. In the case of Pattern 1, for example, 20% is set for the score of the analysis item corresponding to task time, 45% is set for the score of the analysis item corresponding to workload, and 0 (zero)% is set for the score of the analysis item corresponding to the level of motivation for improvement. A uniform percentage (5%) is set for the remaining analysis items. In addition to pattern 1, weighting can be applied to any pattern, such as a pattern that emphasizes service issues, or a pattern that emphasizes the degree of digitalization or considerations regarding issues.

[0056] In this way, the analysis unit 103 weights the scores of the analysis items that are emphasized in accordance with the business improvement policy so that a relatively large proportion is assigned to the score. The business improvement policy is determined, for example, according to the department that is performing the business, the department in charge of business improvement, and the status of the organization to which they belong. The analysis unit 103 calculates an overall score according to the priority of business improvement by adding up the numerical values ​​obtained by assigning points to each analysis item at a rate according to the weighting. The analysis unit 103 generates an analysis result in which the higher the overall score, the higher the priority of business improvement for that business. The analysis unit 103 calculates a ranking according to the overall score as the priority of business improvement for each business.

[0057] Returning to the explanation of Fig. 1, the output unit 104 outputs the results of the analysis by the analysis unit 103. For example, the output unit 104 displays the results of the analysis by the analysis unit 103 on a display (not shown) connected to the task selection support device 10. Alternatively, the output unit 104 outputs the results of the analysis by the analysis unit 103 to a printer (not shown) connected to the task selection support device 10 to print them out. The first survey result storage unit 105 stores the first survey result, which is the result of the survey based on the first questionnaire. The second survey result storage unit 106 stores the second survey result, which is the result of the survey based on the second questionnaire. The analysis result storage unit 107 stores the analysis result obtained by analyzing the survey result from the perspective of business improvement.

[0058] As described above, the business selection support device 10 according to the embodiment includes an acquisition unit 102 and an analysis unit 103. The acquisition unit 102 acquires the first survey results, which are the results of a first questionnaire that investigates quantitative and qualitative aspects of the target business, and acquires the second survey results, which are the results of a second questionnaire that investigates attitudes toward business improvement. The analysis unit 103 calculates the priority of business improvement for each target business using the first survey results and the second survey results. As a result, the business selection support device 10 according to the embodiment can calculate the priority of business improvement for each business, and therefore can identify, among a large number of businesses, businesses that are particularly likely to be selected as targets for business improvement. Therefore, it is possible to support the selection of businesses to be targets for business improvement.

[0059] The above describes an embodiment of the present invention. Note that some or all of the functions of the job selection support system 1 in the above-described embodiment may be implemented by a computer. In this case, a program for implementing these functions may be recorded on a computer-readable recording medium, and the program may be loaded into a computer system and executed. Note that the term "computer system" as used herein includes hardware such as an operating system and peripheral devices. Furthermore, the term "computer-readable recording medium" refers to portable media such as flexible disks, optical magnetic disks, ROMs, and CD-ROMs, as well as storage devices such as hard disks built into a computer system. Furthermore, the term "computer-readable recording medium" may also include devices that dynamically store programs for a short period of time, such as communication lines used when transmitting programs via networks such as the Internet or telephone lines, or devices that store programs for a fixed period of time, such as volatile memory within a computer system that serves as a server or client. The program may be designed to implement some of the functions described above, or may be capable of implementing the functions in combination with a program already stored in the computer system, or may be implemented using a programmable logic device such as an FPGA (Field Programmable Gate Array).

[0060] The embodiments of the present invention have been described in detail above with reference to the drawings, but the specific configuration is not limited to that described above, and various design changes can be made within the scope of the gist of the present invention. [Explanation of symbols]

[0061] 1...job selection support system, 10...job selection support device, 101...distribution unit, 102...acquisition unit, 103...analysis unit

Claims

1. an acquisition unit that acquires first survey results that are survey results of a first questionnaire that investigates quantitative and qualitative matters related to the target business, and acquires second survey results that are survey results of a second questionnaire that conducts an awareness survey on business improvement; an analysis unit that calculates a priority of business improvement for each of the target businesses according to a total score obtained by adding together a first score obtained by scoring the target business based on a perspective of visualizing the target business and a second score obtained by scoring the target business based on a perspective of visualizing issues that the target business has, using the first survey result and the second survey result; A business selection support device comprising:

2. The analysis department uses the results of the first survey and the second survey to calculate a first index based on the perspective of visualizing the target business and a second index based on the perspective of visualizing the issues that the target business has, and calculates a priority for business improvement for each of the target business in accordance with a total score obtained by weighting the first index and the second index at a ratio determined in accordance with the business improvement policy. The task selection support device according to claim 1.

3. the acquisition unit acquires the first survey result of the first questionnaire conducted on the leader of the target business, and acquires the second survey result of the second questionnaire conducted on each member who performs the target business. The task selection support device according to claim 1.

4. the acquisition unit acquires the first survey result of the first questionnaire, which includes, as the quantitative item, a ratio of routine tasks in the target tasks or a ratio of non-core tasks that can be handled by unspecified members; the analysis unit calculates the first index according to a ratio of routine tasks in the target tasks or a ratio of non-core tasks in the target tasks; The task selection support device according to claim 2.

5. the acquisition unit acquires the second survey result of the second questionnaire, which includes a degree to which an organization that performs the target business has an awareness of problems with the performance of the target business; the analysis unit calculates the second index according to the magnitude of the degree. The task selection support device according to claim 2.

6. The target business is a business that provides services to users, the acquisition unit acquires the first survey result of the first questionnaire, which includes the number of opinions submitted by users; the analysis unit calculates the second index according to the magnitude of the number. The task selection support device according to claim 2.

7. the acquisition unit acquires the first survey result of the first questionnaire, which includes a degree of digitization of data used in the target business and a degree of effort required to analyze the data used in the target business; the analysis unit calculates, as the second index, a degree of inconsistency between the combination of the degree of computerization and the degree of effort; The task selection support device according to claim 2.

8. A business selection support method performed by a computer that is a business selection support device, comprising: The acquisition department acquires the results of a first survey, which is a survey of quantitative and qualitative matters related to the target business, and acquires the results of a second survey, which is a survey of attitudes toward business improvement, an analysis unit uses the first survey result and the second survey result to calculate a priority of business improvement for each of the target businesses according to a total score obtained by adding a first score obtained by scoring the target business based on a perspective of visualizing the target business and a second score obtained by scoring the target business based on a perspective of visualizing the issues that the target business has; Business selection support method.

9. The computer that is the business selection support device, The acquisition unit acquires the results of a first survey that investigates quantitative and qualitative matters related to the target business, and acquires the results of a second survey that investigates attitudes toward business improvement, an analysis unit uses the first survey result and the second survey result to calculate a priority of business improvement for each of the target businesses according to a total score obtained by adding a first score obtained by scoring the target business based on a perspective of visualizing the target business and a second score obtained by scoring the target business based on a perspective of visualizing the issues that the target business has; program.

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