Business start-up simulation program and business start-up simulation method

Abstract

To provide a business opening simulation program and a business opening simulation method that enable more accurate business opening simulation in medical and nursing care fields.SOLUTION: A business opening simulation program according to one aspect of the present invention comprises the steps of: recording business opening property data in a computer; recording opening fund data; recording social insurance application type data; and calculating performance data based on the business opening property data, the opening fund data, and the social insurance application type data. A business opening simulation method according to one aspect of the present invention comprises the steps of: recording business opening property data; recording opening fund data; recording social insurance application type data; and calculating performance data based on the business opening property data, the opening fund data, and the social insurance application type data.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a business start-up simulation program and a business start-up simulation method. [Background technology]

[0002] When an individual or corporation (hereinafter referred to as "corporation, etc.") starts a new business, whether or not that business can continue for a long period of time depends largely on the management strategy and tactics of the corporation, etc. Note that a management "strategy" refers to the direction in which the corporation, etc. should proceed in terms of management, and "tactics" refers to the specific means for executing the strategy that has been formulated above.

[0003] Corporations that have already launched multiple businesses can formulate strategies and tactics without any particular problems, but corporations that have never run a business before face the challenge of formulating start-up tactics and strategies.

[0004] For this reason, seminars, known as "start-up schools," are held to teach knowledge about starting a business for the first time or for those with little experience in starting new businesses.

[0005] Furthermore, business start-up simulation games that mimic actual management are sometimes used as a tool for learning business strategies and tactics in a more practical way (see, for example, Non-Patent Document 1 below). [Prior art documents] [Non-patent literature]

[0006] [Non-Patent Document 1] http: / / www.tottori-cci.or.jp / wordpress / wp-content / uploads / 7ec6e100e2400460de23fde10298a1786.pdf Summary of the Invention [Problem to be solved by the invention]

[0007] However, most of the above-mentioned business startup simulation games generally assume retail stores such as shops, and are not specialized in the medical and nursing care fields. In the medical and nursing care fields, social insurance systems such as health insurance and nursing care insurance exist, and the application of these systems greatly affects the success or failure of a business. However, not only are there few business startup schools that mention this point, but there are also very few business startup schools that specialize in the medical and nursing care fields.

[0008] In view of the above, an object of the present invention is to provide a business start-up simulation program and a business start-up simulation method that can perform more accurate business start-up simulations in the medical and nursing care fields. [Means for solving the problem]

[0009] A business start-up simulation program according to one aspect of the present invention, which solves the above-mentioned problems, is designed to cause a computer to execute the steps of recording business start-up property data, recording start-up capital data, recording social insurance application type data, and calculating performance data based on the business start-up property data, start-up capital data, and social insurance application type data.

[0010] In addition, in this respect, although not limited thereto, it is preferable to also execute a step of recording countermeasure action data.

[0011] In addition, although not limited to this aspect, it is preferable to also execute a step of recording sales data and expense data in association with each other.

[0012] In addition, although not limited to this aspect, it is preferable to also execute a step of recording staff data.

[0013] Furthermore, in this respect, although not limited thereto, it is preferable that in the step of recording a plurality of turn data, measure action data, sales data, and expense data are recorded in association with each turn data.

[0014] Furthermore, in this respect, although not limited thereto, it is preferable to record a plurality of pieces of user data and calculate performance data for each piece of user data.

[0015] In addition, a business start-up simulation method according to another aspect of the present invention includes the steps of recording business start-up property data, recording start-up capital data, recording social insurance application type data, and calculating performance data based on the business start-up property data, start-up capital data, and social insurance application type data. [Effects of the Invention]

[0016] As described above, the present invention can provide a business start-up simulation program and a business start-up simulation method that can perform more accurate business start-up simulations in the medical and nursing care fields. [Brief explanation of the drawings]

[0017] [Figure 1] A flow chart showing the processing flow of the business opening simulation program according to the embodiment. [Figure 2] FIG. 1 is an image diagram showing the connection relationship of computers that execute a business opening simulation program according to an embodiment. [Figure 3] FIG. 10 is an image diagram showing an example of a screen displayed on a monitor connected to a computer by executing this step according to the embodiment. [Figure 4] FIG. 10 is an image diagram showing an example of a screen displayed on a computer screen according to the embodiment. [Figure 5] FIG. 10 is an image diagram showing an example of a screen displayed on a computer screen according to the embodiment. BEST MODE FOR CARRYING OUT THE INVENTION

[0018] Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. However, the present invention can be embodied in many different forms, and the specific examples described in the following embodiments and examples can be appropriately modified and adjusted, and the present invention is not limited to these.

[0019] First, the business start-up simulation program according to this embodiment (hereinafter referred to as "this program") is for causing a computer to execute the steps of (S1) recording business start-up property data, (S2) recording start-up capital data, (S3) recording social insurance application type data, and (S4) calculating performance data based on the business start-up property data, start-up capital data, and social insurance application type data. Figure 1 is a flow diagram showing the processing flow in this program.

[0020] Furthermore, this program is executed by an information processing device, i.e., a computer, and is specifically stored on a recording medium such as a computer hard disk, and is loaded into a volatile recording medium such as memory and executed as needed. By executing this program on a computer, a business start-up simulation method (hereinafter referred to as "this method") having the above steps can be realized. Specifically, this method has the steps of (S1) recording business property data, (S2) recording start-up capital data, (S3) recording social insurance application type data, and (S4) calculating performance data based on the business property data, start-up capital data, and social insurance application type data.

[0021] Furthermore, the computer used to execute this program is not limited as long as it has the above functions, but it is preferable that it includes, but is not limited to, components of a typical computer, such as a central processing unit (CPU), non-volatile recording media such as a hard disk or flash memory, volatile recording media such as memory, a bus connecting these, input devices such as a keyboard or mouse, and display devices such as a monitor.

[0022] The computer may be a laptop or desktop PC, or may be a mobile information terminal, specifically a smartphone or tablet terminal, which have become increasingly popular in recent years. A typical mobile information terminal houses and integrates components such as the CPU and display device within a single cover. Furthermore, by placing a sensor on the display device to function as a touch panel, the device can also function as an input device, making it highly user-friendly and desirable. In the case of a mobile information terminal, a program for executing the method may be recorded and displayed as an app on the mobile information terminal, and the method may be easily executed by launching the app.

[0023] As is clear from the above description, the system for implementing this method can be implemented independently without connecting to other computers, or via telecommunications such as the Internet. Specifically, multiple computers can be connected via telecommunications, and the steps of this method can be executed on these different computers. Figure 2 shows an illustration of the connection of computers in this case. In this figure, a client computer C used by a user to execute this method and a server computer S for processing data entered by the user are connected via a telecommunications line N, and data is sent and received between them to process the data and execute this method. The data to be processed on each computer can be adjusted as needed.

[0024] Next, we will explain in detail each step of the method executed by this program. This method is suitable for, but not limited to, those hoping to start a business (hereinafter referred to as "user") to simulate their own post-opening situation. This method, in particular, allows users to input their desired conditions and objectively grasp the results in numerical terms, such as performance, making it a game-like experience. Furthermore, as is evident from the step of recording social insurance coverage data, this method is suitable for use in industries where the decision on whether to apply social insurance is crucial. Specifically, it is suitable as a start-up simulation method for medical, osteopathic, and social welfare businesses. Medical and osteopathic businesses are covered by health insurance, national health insurance, and other medical insurance, while social welfare businesses are covered by long-term care insurance. While these insurances typically require users to pay a portion of the cost themselves and the government covers the rest, some services may not be covered by insurance and require users to pay the entire cost themselves. This can be a major factor in determining the services to be offered. More details will become clearer in the following sections.

[0025] First, this method includes a step (S1) of recording business property data. In a business start-up simulation, the type of property to select is crucial, and recording this data contributes to a highly accurate business start-up simulation. Figure 3 shows an example of a screen displayed on a monitor connected to a computer by executing this step.

[0026] Here, "business property data" refers to data containing information about the property that the aspirant intends to open. Furthermore, this business property data preferably includes identification number data containing information about an identification number for identifying the property, and also preferably includes location data, size data, and rent data. While the location data, size data, and rent data can be determined separately, it is also possible to fix predetermined location data, size data, and rent data for a single business property data. This prevents the aspirant from setting values ​​that are out of sync with reality.

[0027] Here, "location data" refers to data that includes information about the location of the place where the business will be opened. The location of the business will have a significant impact on attracting customers, and specific choices about the type of location to choose can be made here.

[0028] Furthermore, "scale data" here refers to data that includes information about the size (scale) of the location where the business will be opened. The size determines the number of staff and customers that can be accommodated, which has a significant impact on revenue, so including size data will enable more accurate opening simulations.

[0029] Furthermore, "rent data" here refers to data that includes information about the rent for the location where you plan to open your business. When you rent a location to open your business, you will naturally have to pay rent, and this rent will have a significant impact on your profits. Therefore, including rent data will enable you to perform a more accurate business start-up simulation.

[0030] It is also preferable to include "initial cost data" in the "business start-up property data." Initial cost data includes information on the initial costs required to start a business, specifically security deposits, renovation costs, and various other initial costs required for business start-up. Including the initial costs allows for more accurate simulations.

[0031] This method also includes a step (S2) of recording start-up capital data. Here, "start-up capital data" refers to data containing information regarding the capital required for starting a business. In a start-up simulation, determining the increase or decrease in capital is extremely important, and therefore, financial planning when starting a business is also extremely important. Therefore, recording this start-up capital data contributes to a more accurate start-up simulation. The value of this start-up capital data may be a predetermined fixed value, or may be a value input by the user as desired.

[0032] Here, it is also preferable that start-up capital data include loan data. Ideally, when starting a business, it is preferable to raise all of the start-up capital from one's own funds, but this is generally difficult. Therefore, it is also important to take out loans. More specifically, it is preferable to divide start-up capital data into "own capital data" and "loan data."

[0033] This method also includes a step (S3) of recording social insurance coverage type data. Here, "social insurance coverage type data" refers to data containing information regarding the type of social insurance coverage. "Social insurance" refers to health insurance, medical insurance, long-term care insurance, etc., and coverage type refers to the type of social insurance coverage, such as whether customers primarily pay for all services themselves, whether social insurance covers all services, or whether some (e.g., half) of customers are covered by social insurance and the remaining customers are self-pay. Whether or not insurance coverage is provided varies depending on the services the user intends to provide, and whether or not this insurance coverage affects revenue, etc. Therefore, taking these factors into consideration enables more accurate business start-up simulations. It is also preferable to allow the user to specify the percentage of social insurance coverage if a portion of the service is to be covered by social insurance. Figure 4 shows an example of a screen displayed on a computer screen in this case.

[0034] This method may also include a step of recording staff data (SS) before, during, or after each of the steps (S1) to (S3) above, but before the step (S4) below. Staff data is data containing information about staff. In this case, the staff data preferably includes staff type data and staff number data, and more preferably includes staff proficiency data.

[0035] Here, "staff type data" refers to data containing information about the type of staff, such as whether the staff member is an administrative staff member who simply handles reception and accounting, a technical staff member who provides direct services to customers such as massage, or a staff member who does both.

[0036] Furthermore, "staff number data" refers to data containing information regarding the number of staff. This staff number data is input in advance by the user as an initial value, but the value determined by the scale data of the business property data is the upper limit. Therefore, when staff number data is input, it is preferable to refer to the scale data of the business property data and determine whether to use the input staff number data or the scale data. Furthermore, as will be described later, the number of staff increases or decreases, and the scale data also serves as a limit for this increase or decrease.

[0037] Furthermore, "staff proficiency data" is data containing information about the proficiency of the staff member. In the case of reception staff, this corresponds to customer service skills, etc., and in the case of technical staff, this corresponds to treatment skills, etc. (for example, whether the staff member is a new employee or a veteran). By specifying the number of staff members, it is possible to calculate sales according to the number of staff members. Furthermore, by setting the proficiency of the staff members, it is possible to calculate sales more accurately. Specifically, it is possible to calculate that a new employee with low proficiency will have low sales per unit of work time, while a veteran with high proficiency will have higher sales per unit of work time. This staff member proficiency may be divided into multiple discrete stages such as "inexperienced," "beginner," and "veteran," or it may be expressed as a number, for example, from 0 to 10.

[0038] This method may also include a step of recording (SV) vision data before, during, or after each of steps (S1) to (S3) above, but before step (S4) below. This "vision data" is data containing the aspirant's vision for the store he or she will open, and is so-called text data. In this method, the vision data has almost no effect on the calculation of sales, but is extremely important for the aspirant's self-realization. Whether sales are high or low, the vision data will be used for self-analysis after completing this method to determine whether the store is in line with the aspirant's aspirations.

[0039] This method also includes a step (S4) of calculating performance data based on business property data, business start-up capital data, and social insurance coverage type data. Here, "performance data" refers to data that includes information related to performance in the business start-up simulation, and specifically includes sales data, expense data, and profit data.

[0040] Furthermore, in this method, with regard to step (S4) above, it is preferable to record multiple turn data sets, and record policy action data, sales data, and expense data corresponding to each turn data set. Here, "turn data" refers to data containing information about the unit of business period (business period), where a business period refers to a predetermined period such as one year, six months, one quarter, or one month. For example, performing a business simulation on an annual basis allows for the creation and execution of a yearly business plan, while a shorter period allows for the creation and execution of a business plan more quickly. Of course, a significantly longer period is also possible. Furthermore, performing multiple turns has the advantage of reducing short-term factors such as mistakes and successes and enabling a longer-term evaluation of the business start-up. In particular, recording sales data, expense data, and revenue data for each turn allows for the evaluation of the success or failure of each turn.

[0041] Here, "sales data" literally means data that contains information about sales. The amount of sales is essential for business start-up simulations.

[0042] Furthermore, the "sales data" is preferably calculated based on, but not limited to, "customer number data" and "treatment unit price data." "Customer number data" is data containing information regarding the number of customers in that turn, and treatment unit price data is data containing information regarding the unit price of sales received from one customer. Sales are calculated by multiplying the number of customers by the treatment unit price. In this method, sales can be increased by increasing either or both the number of customers and the treatment unit price. Note that, if the turn is performed in units of multiple turns, it is preferable that this sales data be calculated for each turn.

[0043] The number of customers is determined based on at least the business property data, social insurance application type data, and staff data. More specifically, the number of customers can be determined based on the business property data, its location data, and the number of staff, staff type data, and staff proficiency data.

[0044] For example, once "location data" is determined, the number of potential customers corresponding to the location data can be determined. In other words, it is preferable to associate location data with potential customer data corresponding to the location data. Furthermore, it is also preferable to provide this potential customer data with age data, gender classification data, employment classification data, etc., and to define the potential customer data in relation to the age data. This makes it possible to determine the number of potential customers by age group. Examples of such classifications include, but are not limited to, broad age categories such as "elderly," "middle-aged," and "young," as well as age categories such as "80s," "70s," "60s," and "50s" for age data; gender categories such as male and female for gender classification data; and employment categories such as "pensioner," "retiree," "worker," and "student" for employment classification data.

[0045] It is preferable to define this potential customer data for each type of social insurance coverage, but it is also possible to define potential customer data for cases where full insurance coverage and full self-payment are required, and to obtain the data for cases where partial self-payment is required by multiplying the ratio. Furthermore, if potential customer data is divided by age group as described above, it is also preferable to define potential customer data by age group.

[0046] The number of customers data is also determined by "staff data." For example, with regard to "staff type data," while the number of customers varies little depending on administrative reception, the number of technical staff is directly linked to the number of customers that can be handled per unit time. Therefore, the number of customers can be determined based on the staff type data and further the "number of staff data." Furthermore, the processing speed varies depending on the proficiency of the staff, which determines the number of customers that can be handled per unit time. In other words, the number of customers also varies depending on the "staff proficiency data."

[0047] Furthermore, when performance is evaluated in units of multiple turns, it is preferable to calculate customer count data for each turn. In this case, it is preferable to further calculate the number of repeat customers based on the customer count data from the previous turn, or more specifically, to add the number of repeat customers to the customer count data for that turn. Generally, a certain percentage of customers from the previous business period become so-called repeat customers, and calculating this number of repeat customers makes it possible to evaluate business growth. It is useful to define this certain percentage as "repeat customer coefficient data."

[0048] Furthermore, it is preferable that the "repeat customer coefficient data" be determined based on customer satisfaction data. This is because the higher the customer satisfaction, the more repeat customers there will be, and the lower the customer satisfaction, the fewer repeat customers there will be. Here, it is preferable that the "repeat customer coefficient data" has a fixed number as an initial value, but that it fluctuates depending on the policy action data, etc., which will be described later.

[0049] Incidentally, the "treatment unit price data" is multiplied by the above-mentioned customer number data. The treatment unit price data is the unit price of treatment for a customer, and since the unit price is clearly defined, particularly in the case of insurance coverage, it can be set to a fixed number, but in the case of elective medical treatment, etc., the added value may be different, so it can also be fluctuated.

[0050] As mentioned above, sales data can be calculated based on the customer count data and treatment unit price data, or more specifically, by multiplying these data. In particular, if multiple turns are performed, sales data can be calculated for each turn. Of course, if multiple turns are performed, it is also preferable to calculate the total sales.

[0051] On the other hand, "expense data" is data that includes information about expenses. Sales and expenses are necessary to calculate profits, and this data is used to calculate expenses.

[0052] In this method, "expense data" is not limited as long as it is data relating to so-called expenditures, but it is preferable that it includes, for example, "rent data," "personnel cost data," "measures cost data," and the like.

[0053] Here, "rent data" refers to data containing information on rent for the business location and is generated periodically. This "rent data" is recorded in correspondence with the business property data. While rent is generally incurred as a fixed cost in a business, rent varies greatly depending on the characteristics of the business location, such as the population. Specifically, rent tends to be higher in large cities and lower in ordinary rural areas. Therefore, by linking the rent when selecting a business location, one can advantageously estimate fixed costs. In addition to rent, this rent data may also include expenses necessary for maintaining the store. For example, data corresponding to charges for electricity, heating, lighting, water, etc. may be included.

[0054] Furthermore, "labor cost data" is data containing information related to labor costs. For example, when hiring staff, and even when hiring additional staff, labor costs are incurred, and these labor costs are included in the labor cost data. Note that these labor costs vary depending on the type of staff, the number of staff, and the staff's proficiency, so it is preferable to determine them based on staff type data, staff number data, and staff proficiency data.

[0055] Furthermore, this method preferably includes a step of recording policy action data when calculating performance data. Here, "policy action data" refers to data containing information about policies implemented to increase sales when conducting business. While the types of policy action data are not particularly limited, it is preferable to include at least one of the following: "additional staff data," "training data," "advertising data," "welfare data," and "machine installation data." Recording this policy action data can have a significant impact on sales data and expense data, helping users understand the importance of management strategies. An example of the screen displayed in this case is shown in Figure 5.

[0056] Furthermore, when recording data for multiple turns, it is preferable to record policy action data for each turn. By implementing policies for each turn and reflecting these in the calculation of performance data, it is possible to learn about the policies necessary to continue the business and their effects. In this case, it is preferable to select only some of the policy action data mentioned above, such as "additional staff data," "training data," "advertising data," "welfare data," and "machine introduction data," rather than all of them. The number of policy actions that can be adopted in a business is limited by its funding and personnel. Therefore, such limitations are necessary to perform more accurate management simulations.

[0057] Here, "additional staff data" refers to data that is entered when additional staff are to be hired, separate from regular staff. The content of this additional staff data is similar to the staff data described above, and it is preferable that it includes staff type data containing information on the type of staff, and staff proficiency data containing information on the staff's proficiency. By hiring additional staff, it is possible to further improve sales data. However, depending on the proficiency level, etc., labor cost data will increase accordingly.

[0058] Here, "training data" refers to data that includes information about training provided to staff. Training can help new staff improve their skills. However, this training increases costs. Also, there is the issue that training does not lead to much improvement for staff who are already proficient in the skills, resulting in costs and a decrease in staff motivation. When recording this training data, it is preferable to introduce training cost data and include it as an expense.

[0059] That is, as is clear from the above description, when recording training data, it is preferable to increase staff proficiency data while also including "staff motivation data" containing information about staff motivation and stress in the "staff data." By evaluating staff motivation, it is possible to trigger an event such as a staff member quitting if their motivation falls below a certain level.

[0060] Furthermore, "advertising data" refers to data containing information related to advertising. Advertising can be expected to increase the number of customers. Of course, the effectiveness of advertising varies greatly depending on the advertising medium, so it is preferable for advertising data to also include "advertising type data." For example, using SNS (Social Networking Service) can be expected to be effective among younger generations, while using posting can be expected to be effective for business models that emphasize regionality. Of course, these also have the reflex effect of incurring costs. In other words, when recording advertising data, it is preferable to increase the number of customers by a certain number or a certain percentage, while also recording advertising expense data and including it in expense data.

[0061] Furthermore, this method preferably includes a step of recording policy action data when calculating performance data. "Policy action data" refers to data containing information about policies implemented to increase sales when conducting business. The types of policy action data are not particularly limited, but preferably include at least one of "additional staff data," "training data," "advertising data," "welfare data," and "equipment installation data."

[0062] Here, "additional staff data" refers to data that is entered when hiring additional staff, separate from regular staff. The content of this additional staff data is the same as that of the staff described above, so a detailed explanation will be omitted. By hiring additional staff, it is possible to further increase sales. However, depending on the level of skill, etc., this can incur significant costs.

[0063] Here, "training data" refers to data that includes information about training provided to staff. Training can help new staff improve their skills. However, this training increases costs. Also, for staff who are already proficient in the skills, there is little hope of improvement, so training only incurs costs and can lower staff motivation, which is an issue.

[0064] "Advertising data" is data that includes information related to advertising. Advertising can be expected to increase the number of customers. Of course, the effectiveness of advertising varies greatly depending on the advertising medium, so it is preferable that advertising data also include "advertising type data." For example, using SNS (Social Networking Service) can be expected to be effective among younger generations, while using posting can be expected to be effective for business models that emphasize regionality. Of course, these also have the reflex effect of incurring costs.

[0065] Furthermore, "welfare data" is data that is introduced when considering providing welfare benefits to staff, and can have a significant impact on staff motivation. In other words, if the staff motivation data is at a low value, it can be improved to a higher value by adopting welfare measures. In this case, naturally, costs will be incurred, so it is preferable to adopt "welfare cost data" and calculate this as an expense.

[0066] "Equipment installation data" as policy action data refers to the installation of equipment when providing services to customers. By installing equipment, users can realize the services they wish to provide to their customers. However, since installing equipment also contributes to increased costs, it is important to strike a balance in management. In other words, while equipment installation data contributes to an increase in data on the number of customers and treatment unit prices, it also leads to increased costs in the form of "equipment installation cost data." However, since equipment installation can be done through leasing, it is preferable to split the costs into installments.

[0067] In addition, in this method, it is preferable to record multiple user data. Here, "user data" refers to data containing information about users, and it is possible to calculate and record the above steps for each of these data. As a result, it is possible to obtain information on which of multiple users succeeded, which failed, and what their challenges were, which has the advantage of making it easier to provide feedback on the business start-up simulation.

[0068] After determining the sales data and expense data, "revenue data" is obtained. Specifically, revenue data is data containing information about revenue obtained by subtracting expenses from sales. As mentioned above, revenue data can be obtained by using sales data and expense data. Furthermore, based on this revenue data, it is possible to calculate "remaining balance data" that shows how much capital has increased or decreased from the initial start-up capital, and these together constitute "performance data." [Industrial Applicability]

[0069] The present invention has industrial applicability as a business start-up simulation program and a business start-up simulation method.

Claims

1. On the computer, A step of recording opening property data; recording start-up capital data; a step of recording social insurance application type data; recording policy action data including training data; recording staff data including staff number data and staff proficiency data; recording a plurality of turn data; A business start-up simulation program for executing a step of calculating performance data based on the business start-up property data, the business start-up capital data, and the social insurance application type data, the performance data is calculated for each of the turn data, The performance data includes sales data, expense data, profit data, and balance data, The sales data is calculated based on customer number data and treatment unit price data, The customer number data is calculated based on the staff number data, staff proficiency data, and the business property data, The treatment unit price data is calculated based on the social insurance application type data, The expense data includes rent data based on the business property data, labor cost data based on the staff number data and the staff proficiency data, and policy cost data based on the policy action data, A business start-up simulation program in which the remaining balance data is calculated based on the start-up capital data, the sales data, and the expense data.

2. recording a plurality of user data; 2. The business start-up simulation program according to claim 1, wherein the performance data is calculated for each of the user data.

3. The computer A step of recording opening property data; recording start-up capital data; a step of recording social insurance application type data; recording policy action data including training data; recording staff data including staff number data and staff proficiency data; recording a plurality of turn data; A business start-up simulation method realized by executing a step of calculating performance data based on the business start-up property data, the business start-up capital data, and the social insurance application type data, the performance data is created for each of the turn data, The performance data includes sales data, expense data, profit data, and balance data; The sales data is calculated based on customer number data and treatment unit price data, The customer number data is calculated based on the staff number data, staff proficiency data, and the business property data, The treatment unit price data is calculated based on the social insurance application type data, The expense data includes rent data based on the business property data, labor cost data based on the staff number data and the staff proficiency data, and policy cost data based on the policy action data, A business start-up simulation method in which the remaining balance data is calculated based on the start-up capital data, the sales data, and the expense data.

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