Information processing device, information processing method and information processing program

Abstract

To efficiently evaluate a supply chain of enterprises in the standpoint of sustainability.SOLUTION: An information processing device 100 includes an individual company index calculation part 120 for calculating an individual company index for evaluating a supplier enterprise in the standpoint of at least one of an ESG and SDGs on the basis of non-financial information and financial information on the supplier enterprise constituting a supply chain of a target enterprise, and a supply chain index calculation part 130 for calculating a supply chain index for evaluating the supply chain in the at least one standpoint on the basis of the individual company index, the non-financial information, the financial information and inter-enterprise network information in the supply chain.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to an information processing device, an information processing method, and an information processing program. [Background technology]

[0002] A system for evaluating individual companies' activities related to SDGs and ESG is disclosed in, for example, Patent Document 1. Patent Document 1 describes a corporate activity evaluation device that includes a control unit that functions as a receiving unit, a scoring unit, a weighting unit, and an output unit by executing a program, and a memory unit that stores standard scores for each question item related to at least one of the SDGs and ESG, and a table of weights for each evaluation item for each industry. The receiving unit receives answers to questions related to at least one of the SDGs and ESG and information on the industry from an external terminal device. The scoring unit calculates a score for at least one of the evaluation items related to the SDGs and ESG based on the answers received by the receiving unit, using the standard scores for each question item stored in the memory unit. The weighting unit calculates a corrected score for each evaluation item by multiplying the score for each evaluation item calculated by the scoring unit by the weight corresponding to the industry type received by the receiving unit, using the table stored in the memory unit. The output means outputs at least one of the corrected score for each evaluation item calculated by the weighting means and the total score for all evaluation items. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 2023-44868 Summary of the Invention [Problem to be solved by the invention]

[0004] Typically, a company has multiple suppliers for its business activities, and these suppliers form a supply chain. The purpose of this invention is to efficiently evaluate a company's supply chain from a sustainability perspective (from the perspective of at least one of ESG and SDGs). [Means for solving the problem]

[0005] An information processing device according to one embodiment of the present invention includes an individual company index calculation unit that calculates individual company indexes for evaluating a target company's supplier companies from the perspective of at least one of ESG and SDGs, based on non-financial information and financial information of the supplier companies that make up the target company's supply chain, and a supply chain index calculation unit that calculates supply chain indexes for evaluating the supply chain from the perspective of at least one of ESG and SDGs, based on the individual company indexes, the non-financial information, the financial information, and inter-company network information in the supply chain. [Effects of the Invention]

[0006] According to the present invention, a company's supply chain can be efficiently evaluated from the perspective of sustainability. [Brief explanation of the drawings]

[0007] [Figure 1] FIG. 2 is a block diagram illustrating an example of a functional configuration of an information processing device. [Figure 2] FIG. 2 is a block diagram illustrating an example of a hardware configuration of an information processing device. [Figure 3A] FIG. 1 is an explanatory diagram showing the content of a company's non-financial information. [Figure 3B] FIG. 2 is an explanatory diagram showing the contents of financial information of a company. [Figure 3C] FIG. 2 is an explanatory diagram showing the contents of inter-company network information. [Figure 4] FIG. 1 is an explanatory diagram illustrating an example of an inter-company network. [Figure 5] FIG. 1 is an explanatory diagram illustrating an example of an inter-company network. [Figure 6A]FIG. 1 is an explanatory diagram illustrating an example of an inter-company network. [Figure 6B] FIG. 10 is an explanatory diagram showing a flow of calculating a supply chain index in an example of an inter-company network. [Figure 6C] 10 is a flowchart showing a flow of calculating a supply chain index. [Figure 7] FIG. 1 is an explanatory diagram illustrating an example of an inter-company network. [Figure 8A] FIG. 10 is an explanatory diagram showing an example of an output result. [Figure 8B] FIG. 10 is an explanatory diagram showing an example of an output result. [Figure 9] FIG. 2 is a block diagram illustrating an example of a functional configuration of an information processing device. [Figure 10A] 10 is a flowchart showing a flow of sensitivity calculation. [Figure 10B] 10 is a flowchart showing a flow of sensitivity calculation. DETAILED DESCRIPTION OF THE INVENTION

[0008] The present invention will be described below based on the illustrated embodiments, but the present invention is not limited to the embodiments described below.

[0009] Using sustainability information published by a company or its responses to multiple sustainability questions, it is possible to calculate indicators for evaluating the company from a sustainability perspective. Indicators for evaluating a company from a sustainability perspective are referred to below as "company-specific indicators." In addition, when one company (let's call it Company 1) receives goods or services from another company (let's call it Company 2), the second company is called the supplier of Company 1. Company 2 can also be called the supplier of Company 1.

[0010] First Embodiment 1 is a device that calculates supply chain indexes for target companies, and includes an input unit 110, an individual company index calculation unit 120, a supply chain index calculation unit 130, and an output unit 140. The processing performed by each unit will be described later.

[0011] 2 shows an example of the computer hardware configuration of information processing device 100. This device includes a CPU 191, a communication device 192, a display device 193, an input device 194, a drive device 195, an auxiliary storage device 196, and a memory device 197, which are interconnected by a bus 199.

[0012] A program that realizes the functions of information processing device 100 is provided by recording medium 198 such as a CD-ROM. When recording medium 198 on which the program is recorded is set in drive device 195, the program is installed from recording medium 198 into auxiliary storage device 196 via drive device 195. Alternatively, the program does not necessarily have to be installed from recording medium 198, but can also be installed via a computer network. Auxiliary storage device 196 stores the installed program as well as necessary files, data, etc.

[0013] The memory device 197 reads and stores the program from the auxiliary storage device 196 when an instruction to start the program is received. The CPU 191 realizes the functions of the information processing device 100 in accordance with the program stored in the memory device 197. The communication device 192 is used as a communication interface for connecting to other computers via a network. The display device 193 displays a GUI (Graphical User Interface) or the like according to the program. The input device 194 is a keyboard, a mouse, a touch panel, or the like.

[0014] The target company has N supplier companies, where N is a natural number. The supplier companies are represented as supplier company 1, supplier company 2, ..., and supplier company N. Non-financial information DA1 of supplier company 1 shown in FIG. 3A, financial information DA2 of supplier company 1 shown in FIG. 3B, and inter-company network information DA3 of supplier company 1 shown in FIG. 3C are input to input unit 110 in FIG. 1.

[0015] Input unit 110 also receives input of non-financial information DB1 of supplier company 2, financial information DB2 of supplier company 2, and inter-company network information DB3 of supplier company 2. Similarly, input unit 110 also receives input of non-financial information, financial information, and inter-company network information (none of which are shown) of each of supplier companies 3 to N.

[0016] Non-financial information about a supplier company includes information about the company's environmental, social, governance, industry, and region. Other non-financial information may include information about CO2 emissions, whether or not the company discloses greenhouse gas (GHG) emissions reduction targets, energy consumption, natural resource consumption such as water, the number and percentage of female employees and executives, the rate of childcare leave taken, the number and percentage of employees on long-term leave, employee satisfaction surveys, the rate of workplace accidents, employee development and training costs, the number and percentage of outside directors, whether or not the company has filed lawsuits, product recalls, compliance standards, the number of patent applications filed, and the number of patents held. Financial information about a supplier company may include items such as sales, manufacturing costs, and profits. Non-financial and financial information is based on information published in securities reports, integrated reports, environmental reports, CDP reports, TCFD disclosures, and company websites, as well as the company's responses to a questionnaire regarding sustainability (from at least one of the perspectives of ESG and SDGs). ESG refers to investment, management, and business activities that take into consideration the environment, social, and governance. SDGs (Sustainable Development Goals) are goals for sustainable development.

[0017] The inter-company network information of a supplier company includes information such as the volume of transactions between companies, transaction amounts (who paid how much to whom), what was sold, the number of years of transactions, investment information, personnel exchanges, and business partnerships such as joint development and research. The inter-company network information of a supplier company may include items such as the volume and amount of transactions between the supplier company and other companies. Other items that may be included in the inter-company network information include information on corporate ties, information on second- and third-tier subcontractors, and the number of years of transactions. The inter-company network information of supplier company 1 is the above information between supplier company 1 and other companies. With this information for each supplier company, the connections between the companies can be understood and the network structures shown in Figures 4 to 7 (described later) can be drawn.

[0018] In this way, non-financial information, financial information, and inter-company network information (supply chain information) regarding the target company's supplier companies 1 to N are input to the input unit 110. The information input may be only the most recent information, or may be a combination of the most recent information with at least one of earlier information and predicted information. Each item of the input information becomes a constituent item that makes up the supply chain index.

[0019] The individual company index calculation unit 120 calculates the individual company index of the supplier company 1 based on the non-financial information and financial information regarding the supplier company 1 received by the input unit 110 .

[0020] For example, if the information entered for a certain item in the individual company indicators is a quantitative number, that number can be used as the score. Alternatively, the score can be calculated by dividing that number by a representative value, such as the average, maximum, or minimum, of the numbers entered for that item for all the companies being evaluated. Alternatively, the score can be calculated by classifying the companies into 10 clusters using a clustering method such as k-means, and then assigning scores on a 10-point scale from 1 to 10. For example, for the item "tons of CO2 emissions," companies are ranked in ascending order of the number of tons of CO2 emissions per 100 million yen in sales (here, this means all companies to which a score is to be assigned for the number of tons of CO2 emissions, including companies that are not in the supply chain of the target company. It could also be all companies for which data on the number of tons of CO2 emissions can be obtained, regardless of whether they are listed or unlisted, or what industry they are in), and a score between 100 and 0 is assigned according to the percentile. Points are similarly assigned for items that can be quantified, such as the rate of recycled material use (calculated in descending order), employee satisfaction surveys, and the percentage of female employees. For binary data expressed as "yes" or "no," such as whether or not a company has disclosed its GHG (greenhouse gas) emissions reduction targets or whether or not it has received "Kurumin" certification (certified by the Minister of Health, Labour and Welfare under the Act on Advancement of Measures to Support Raising Next-Generation Children), a score of +10 points is assigned for "yes" and -10 points for "no." For multi-valued data such as "good," "average," and "bad," a graded score of +10 points, 0 points, or -10 points is assigned. In this way, by adding up or averaging the scores for all items for supplier company 1, the individual company index for supplier company 1 can be obtained. Individual company indexes can be obtained similarly for other supplier companies. However, the method for calculating individual company indexes is not limited to the above method.

[0021] The supply chain index calculation unit 130 calculates the supply chain index of the target company based on the individual company index of supplier company A and the individual company index of supplier company B calculated by the individual company index calculation unit 120 and the inter-company network information received by the input unit 110.

[0022] Figure 4 shows an inter-company network NW1. In this inter-company network, the target company has multiple (parallel) first-tier suppliers. In other words, the target company has business relationships with each of N supplier companies 1 to N, and each supplier company does not have any suppliers. N is a natural number. In general, the supply chain index S of the target company is calculated by dividing the inter-company network information into z1,...,z N This can be expressed as equation (1). S=f(s1,...,s N,z1,...,z N ) Formula (1)

[0023] For example, S can be a weighted average. Figure 5 shows the inter-company network NW2. The same elements as those in the inter-company network NW1 are given the same symbols, and detailed explanations are omitted. If i is an integer between 1 and N, si is the individual company index of supplier company i, and wi is the weight of transactions between the target company and supplier company i. In the inter-company network NW2, v i is a coefficient. The supply chain index S of the target company is calculated by adding the coefficient v to the individual company index as shown in the following formula (2). i Multiply by the weight w i It is calculated by taking a weighted average.

number

[0024] wi and vi are inter-company network information i It is determined from. Weight w i may be determined based on the volume or value of transactions between two companies in a trading relationship. For example, if a target company purchases the same product from multiple supplier companies, the weight may be determined by taking into account the proportion of each supplier's purchase amount to the total purchase amount. If the unit price differs between multiple supplier companies that supply the same product, the weight may be determined by taking into account the average or median value. In addition, weights may be determined by taking into account information on consolidated companies, information on second- or third-tier suppliers, the number of years of trading, etc. Weighting makes it possible to give the supply chain indicators the contribution of network information such as transaction volume. Coefficient v i is determined taking into consideration the ratio of the transaction volume of products or services supplied by a supplier company to a supplier to the supplier's overall transaction volume of said products or services, etc. This can reduce the excessive contribution of the supplier's individual company indicators to the supply chain indicators when the transaction volume of the procured products or services is small compared to the supplier's overall transaction volume.

[0025] Figure 6A shows an inter-company network NW3. The target company receives procurement from each of multiple first-tier supplier companies 1-1 to 1-N. First-tier supplier company 1-1 receives procurement from second-tier supplier company 1-2, which is a supplier of its supplier, and second-tier supplier company 1-2 receives procurement from third-tier supplier company 1-3, which is also a supplier. Similarly, the (M-1)th tier supplier company receives procurement from Mth tier supplier company 1-M, where M is a natural number greater than or equal to 2.

[0026] In addition, the first-tier supplier company 2-1 receives procurement from the second-tier supplier company 2-2, which in turn receives procurement from the third-tier supplier company 2-3. Similarly, the (M-1)th tier supplier company receives procurement from the Mth tier supplier company 2-M.

[0027] In addition, primary supplier company 3-1 receives procurement from secondary supplier company 3-2, which in turn receives procurement from tertiary supplier company 3-3. Similarly, the (M-1)th supplier receives procurement from Mth supplier company 3-M. Furthermore, primary supplier company 2-1 also receives procurement from secondary supplier company 3-2.

[0028] Thus, in the inter-company network NW3, a target company receives procurement from multiple first-tier suppliers, and at least one of the first-tier suppliers receives procurement from at least one second-tier supplier. The inter-company network NW3 has no restrictions on the number of supplier companies, the number of supplier companies that a single supplier company has, or the maximum procurement degree (Mth degree in Figure 6A), but procured products or services are provided in one direction from higher-level supplier companies to lower-level supplier companies, forming a directed acyclic graph with supplier companies as nodes, inter-company transactions as edges, and starting points at supplier companies of Mth degree or lower that do not have a supplier company. 6B shows an inter-enterprise network NW3a, which is an example of the inter-enterprise network NW3. In the inter-enterprise network NW3a, a supplier company 2-(M-1) has business relationships with both supplier company 2-M and supplier company 3-M.

[0029] Taking the inter-company network NW3a as an example, the calculation method of the supply chain index S of the target company is shown below. See Figures 6B and 6C. 1. In step ST1 of FIG. 6B and FIG. 6C, the individual company indicators of all supplier companies at the highest level (Mth level in FIG. 6B) are calculated. 2. In step ST2, the individual company indicators are calculated for all supplier companies that are one level lower than the supplier company for which the individual company indicators were calculated. 3. In step ST3, if a "lowest supplier" (e.g., supplier 2-(M-1)) has multiple suppliers (e.g., supplier 2-M and 3-M), the supply chain indicator for this "lowest supplier" is calculated using formula (1), and an individual company indicator that takes into account the supply chain of the "lowest supplier" is calculated based on the individual company indicators and supply chain indicators of this "lowest supplier." The individual company indicator that takes into account the supply chain may be a weighted sum or average of the individual company indicators and supply chain indicators. For example, it can be calculated using the following formula: Company-specific indicators that take supply chains into consideration = Individual company indicators + Supply chain indicators Equation (3) When obtaining individual company indicators that take into account the supply chain, the individual company indicators for the "lowest first-tier supplier" are replaced with individual company indicators that take into account the supply chain of the "lowest first-tier supplier." 4. In step ST4, repeat steps 2 and 3 until individual company indicators for all primary supplier companies are obtained. 5. In step ST5, the supply chain index of the evaluated company is calculated using formula (1).The above calculation method is not limited to NW3a, but can be applied to any number of supplier companies, the number of supplier companies that one supplier company has, and NW3 with the highest degree of procurement.

[0030] Figure 7 shows inter-company network NW4. In this network, multiple companies form a circular structure. For example, a secondary supplier company (e.g., supplier company 1-2) refines metals using electricity procured from the target company as an energy source. A primary supplier company (e.g., supplier company 1-1) manufactures electrical components using the metals refined by the secondary supplier company. The target company generates electricity using a generator equipped with electrical components manufactured by the primary supplier company. Again, a secondary supplier company (e.g., supplier company 1-2) refines metals using electricity procured from the target company as an energy source. Inter-company network NW4 is a cyclic graph in which supplier companies are nodes and trading relationships between companies are edges, although there are no restrictions on the number of supplier companies, the number of supplier companies a supplier company has, the number of circular structures, or the maximum degree of procurement.

[0031] The calculation method for the supply chain index S of the target company in the inter-company network NW4 is as follows. 1. Obtain the individual company indicators for all supplier companies at the highest level (Mth level in Figure 7). A predetermined value is assigned to the initial value of the supply chain indicator for those supplier companies that have supplier companies. The initial value can be any value, but it can be 0, or the individual company indicators of the supplier companies can be calculated and their average value assigned. 2. Obtain the individual company indicators for all supplier companies one level lower than the supplier company for which the individual company indicators were obtained. 3. If a "lowest-tier supplier" has multiple suppliers, the supply chain indicators for this "lowest-tier supplier" are calculated using formula (1), and the individual company indicators that take the supply chain of this "lowest-tier supplier" into account are calculated based on the individual company indicators and supply chain indicators of this "lowest-tier supplier." However, if this "lowest-tier supplier" has a supplier (say, supplier A) for which an individual company indicator that takes the supply chain into account has not been calculated, a predetermined value is assigned as an initial value to the individual company indicator that takes the supply chain of supplier A into account. The initial value is arbitrary, and can be 0, or the individual company indicator for supplier A can be calculated and assigned. This individual company indicator that takes the supply chain into account can be a weighted sum or average of the individual company indicators and supply chain indicators. For example, it can be calculated using formula (3). When obtaining an individual company indicator that takes into account the supply chain of a "lowest first-tier supplier," the individual company indicator of the "lowest first-tier supplier" is replaced with an individual company indicator that takes into account the supply chain. 4. Repeat steps 2 and 3 until you have obtained individual company indicators for all primary supplier companies. 5. Determine the individual company indicators for the company being evaluated, and then determine the supply chain indicators using equation (1). At this point, the individual company indicators and supply chain indicators for the company being evaluated and all of its supplier companies are provisionally determined. 6. Repeat steps 1 to 5 until the target company's supply chain indicators converge or fluctuate no more than a specified amount. In this way, the calculation method for inter-company network NW4 is basically the same as the calculation method for inter-company network NW3, but there are supply chain indicators that cannot be calculated because inter-company network NW4 has a loop. Appropriate initial values ​​are assigned to such uncalculatable supply chain indicators, and steps 1 to 5 above are repeated until the target company's indicators converge to a specific value.

[0032] An example of how to calculate supply chain indicators is shown below. For example, suppose that a target company has three suppliers: A, B, and C. That is, N=3. Furthermore, suppose that the individual company indicator for A is 80 points, and that the volume of transactions between A and the target company is 1 billion yen. Furthermore, suppose that the individual company indicator for B is 50 points, and that the volume of transactions between B and the target company is 2 billion yen. Furthermore, suppose that the individual company indicator for C is 60 points, and that the volume of transactions between C and the target company is 1 billion yen. In this case, the supply chain indicator S for the target company can be calculated using equation (2) as follows: S=(80×10+50×20+60×10) / (10+20+10)=60

[0033] The maximum value, minimum value, or percentile of the individual company indicators may be used as the supply chain indicator. In the above example, if the minimum value of the individual company indicators is used as the supply chain indicator, it will be as follows: S=Min(80,50,60)=50 In this way, the individual company index of Company B, which has the lowest individual company index among the three companies, becomes the supply chain index of the target company. This is based on the idea that the worst supplier should be the one to raise the bottom line.

[0034] Supplier companies may be divided into groups and the supply chain index may be calculated in stages. That is, the supply chain index may be calculated for each group of supplier companies, and the overall supply chain index may be calculated from the supply chain index for each group. To calculate the overall supply chain index from the supply chain index for each group, any of the supply chain index calculation methods shown in this specification may be used. The grouping may be performed using a machine learning clustering method such as Ward's method, shortest distance method, or K-Mean method, or may be performed based on industry, capital, stock price, etc. For example, suppose there are two procurement companies in industry A and industry B, as shown below. Industry Individual company indicators Transaction volume with target companies Company A 80 1 billion yen Company B A 50 2 billion yen Company C A 60 1 billion yen Company D B 60 2 billion yen Company E B 40 3 billion yen Company F B 80 1 billion yen In this case, if the minimum value Min is used to calculate the supply chain index, Supply chain index for industry A: S=Min(80,50,60)=50 Supply chain index for industry B S=Min(60,40,80)=40 and the overall supply chain index may be calculated using a weighted average as follows: S={50×(10+20+10)+40×(20+30+10)}÷ {(10+20+10)+(20+30+10)}=44 Let's say. This is based on the idea that, although it is possible to raise the minimum value by assuming that alternative procurement is possible even if procurement sources with poor index ratings are excluded within the same industry, alternative procurement is not possible between different industries, so a weighted average is used based on transaction volume.

[0035] The number and structure of branches in the inter-company network can also be taken into account as weights. For example, a commercially available transaction relationship database can be used to select supplier companies with a large social impact from a sustainability perspective. Then, the individual company indicators of the selected supplier companies can be weighted and averaged.

[0036] In this manner, the supply chain index of the target company is calculated by the supply chain index calculation unit 130. The calculated supply chain index is sent from the supply chain index calculation unit 130 to the output unit 140. The output unit 140 then stores the supply chain index in the supply chain index database DS1, or displays the supply chain index on the display device 193.

[0037] FIG. 8A shows the display screen G1 of the display device 193. The display screen G1 is roughly divided into four areas: an upper left area G11, a lower left area G12, an upper right area G13, and a lower right area G14. Area G11 displays the supply chain indicators of the target company. Area G12 displays the trends from previous years when previous year information on the supply chain indicators for the target company can be calculated. Area G13 displays the composition ratio of the supply chain indicators for the target company by supplier company. Area G14 displays a structural diagram (for example, the structure of the inter-company network NW4) that is the basis for calculating the supply chain indicators for the target company.

[0038] 8B shows another display screen G2 of the display device 193. The display screen G2 is divided into two regions aligned horizontally, with the left region indicated by reference symbol G21. The right region is further divided into a top and bottom region, with the upper region indicated by reference symbol G22 and the lower region indicated by reference symbol G23.

[0039] Area G21 displays in table format the main components that make up the target company's supply chain indicators, as well as the components that are below the target threshold and need to be improved. Area G12 displays the same content as area G21 in bar graph format. Area G23 will be described later.

[0040] According to the above embodiment, the supply chain indicators of the target company are calculated based on the individual company indicators of the target company's suppliers and information on the inter-company network such as the inter-company transaction amount, number of trading companies, etc. In addition to the individual company indicators of the supplier companies, information on the inter-company network is also taken into consideration, so it is possible to obtain supply chain indicators that correspond to the actual transaction status of the target company.

[0041] Second Embodiment In this embodiment, the sensitivity of the constituent items of the supply chain index is analyzed by an information processing device 200 shown in Fig. 9. The same elements as in Fig. 1 are given the same reference numerals, and detailed description will be omitted. In addition to the elements in the information processing device 100, the information processing device 200 includes a supply chain sensitivity calculation unit 210 and a supply chain sensitivity sorting unit 220. The information processing device 200 has the same computer hardware configuration as the information processing device 100.

[0042] Here, the sensitivity is the amount of change in the index value to be analyzed in response to a change in input information, expressed as the ratio between the two. In this embodiment, as an example, the sensitivity to GHG emissions is as follows: Sensitivity = (supply chain indicator when GHG emissions increase by X units - original supply chain indicator) ÷ (increase in GHG emissions by X units) Equation (5) If the supply chain indicator is given as a smooth function, the sensitivity is essentially the same as the differential coefficient or partial differential coefficient. If the supply chain indicator is not given as a smooth function, the sensitivity can be obtained by varying the input information by one unit or by a small unit for discrete calculations.

[0043] As described above, the configuration items are the individual items of information input to the input unit 110.

[0044] 10A shows the processing performed by supply chain sensitivity calculation unit 210 when the supply chain index is not given by a smooth function. After supply chain index calculation unit 130 calculates the supply chain index of the target company, one configuration item for which sensitivity has not been calculated is selected in step ST11.

[0045] In step ST12, the configuration item selected in step ST11 is changed by one of the following methods. If the information of the configuration item is a number, add or subtract a specified number from that number. If the information for the configuration item is given as "yes" or "no," flip the information to "no" or "yes." When information on a configuration item is given as multi-valued data such as "good," "normal," or "bad," replace "normal" with other valued data, such as "good" or "bad."

[0046] In step ST13, the individual company indexes for calculating the sensitivity are calculated using the information on the constituent items after being changed in step ST12. At this time, the same information as that used by the individual company index calculation unit 120 is used for the other constituent items.

[0047] In step ST14, the supply chain index for calculating the sensitivity is calculated using the individual company index calculated in step ST13.

[0048] In step ST15, the sensitivity is calculated using the supply chain index calculated in step ST14. An example of the formula for calculating the sensitivity is shown in formula (5).

[0049] In step ST16, it is determined whether or not the sensitivity has been calculated for all the configuration items. If it is determined that the sensitivity has been calculated for all the configuration items, processing by the supply chain sensitivity sorting unit 220 continues; otherwise, step ST11 is performed again.

[0050] In this manner, the supply chain sensitivity calculation unit 210 calculates the sensitivity for each configuration item. The sensitivity for each configuration item may then be sorted in ascending order by the supply chain sensitivity sorting unit 220. The sorted results are sent from the supply chain sensitivity sorting unit 220 to the output unit 140. The sorted results are then stored in the supply chain index and sensitivity database DS2 by the output unit 140, or the sensitivity is displayed on the display device 193. For example, area G23 (FIG. 8B) displays the sensitivity when the major configuration item increases or decreases by one unit or one standard deviation for each supplier company.

[0051] 10B shows the processing performed by the supply chain sensitivity calculation unit 210 when the supply chain index is given by a smooth function. After the supply chain index of the target company is calculated by the supply chain index calculation unit 130, step ST21 is performed. In this step, the supply chain sensitivity calculation unit 210 partially differentiates the calculation formula for the supply chain index given by a smooth function with respect to a certain component item, and calculates the sensitivity of the component item based on the partial differential coefficient. After the sensitivity is calculated for each component item, the supply chain sensitivity sorting unit 220 performs a sorting process.

[0052] As described above, the sensitivity of a supply chain indicator to input information can be determined by partially differentiating the function used to calculate the indicator with respect to the variable representing the input information (Figure 10B). If the function used to calculate the indicator is not partially differentiable, the sensitivity of the indicator can be determined by assuming a one-unit change in the input information related to the supplier company's sustainability (for example, assuming a one-ton increase in CO2 emissions or a one-percent increase in female employees) (Figure 10A). Specifically, the sensitivity of a supply chain indicator can be determined by subtracting the post-change supply chain indicator from the pre-change supply chain indicator, or by dividing the post-change supply chain indicator by the pre-change supply chain indicator.

[0053] According to the above embodiment, it is possible to determine that configuration items to which the supply chain index has a high sensitivity are information that is effective for improving the supply chain index, thereby enabling the supply chain index to be improved efficiently.

[0054] The embodiments described above have aspects not only as an information processing device but also as an information processing method and an information processing program.

[0055] In the embodiments described above, the term "average" does not limit the method of calculating the average, and any method of calculating the average may be used, such as the arithmetic mean, weighted mean, geometric mean, harmonic mean, or logarithmic mean. In the embodiments and figures described above, one or more of the components, steps, functions, means, or methods may be combined into a single component, step, function, means, or method, or may be integrated into several components, steps, functions, means, or methods. The algorithms described in the above-described embodiments and figures may be implemented as software or hardware. Also, many of the operations described as sequential processes may be performed in parallel or simultaneously. One or more of the various methods and operations described may be partially or fully embodied by programming (e.g., instructions and / or data) that may be stored in a computer-readable and / or processor-readable storage medium and executed by one or more processors or devices. In the claims and this specification, a reference to an element in the singular includes a reference to one or more elements unless expressly stated otherwise. Although the embodiments of the present invention have been described above, the present invention is not limited to the above-described embodiments, and various modifications and changes can be made based on the technical concept of the present invention. [Explanation of symbols]

[0056] 100, 200 Information processing device 110 Input section 120 Individual company index calculation department 130 Supply Chain Indicator Calculation Department 140 Output section 210 Supply Chain Sensitivity Calculation Department 220 Supply Chain Sensitivity Sorting Department

Claims

1. an individual company index calculation unit that calculates individual company indexes for evaluating supplier companies that make up the target company's supply chain from the perspective of at least one of ESG and SDGs, based on non-financial information and financial information of the supplier companies; a supply chain index calculation unit that calculates a supply chain index for evaluating the supply chain from at least one of the perspectives based on the individual company index, the non-financial information, the financial information, and inter-company network information in the supply chain; An information processing device comprising:

2. The target company's suppliers include first-tier suppliers to M-tier suppliers, where M is an integer equal to or greater than 2, and the supply chain of the target company and all of the suppliers of the target company forms a directed acyclic graph; i) the step of the individual company index calculation unit calculating individual company indexes for all Mth-tier supplier companies; ii) the step in which the individual company index calculation unit calculates individual company indexes for all supplier companies that are one level lower than the supplier company for which the individual company index was calculated; iii) for the first-tier lower supplier company having a plurality of supplier companies, the supply chain index calculation unit calculates supply chain indexes, calculates individual company indexes that take the supply chain into consideration based on the calculated individual company indexes and the supply chain indexes, and replaces the calculated individual company indexes with the individual company indexes that take the supply chain into consideration; Steps ii and iii are repeated until the individual company indicators of the primary supplier companies are obtained. the supply chain index calculation unit calculates the supply chain index of the target company; The information processing device according to claim 1 .

3. The information processing device according to claim 1 or 2, further comprising a sensitivity calculation unit that calculates a sensitivity of the supply chain index to a component item that constitutes the non-financial information and financial information of the supplier company.

4. An information processing method carried out by a computer, comprising: a step of calculating individual company indicators for evaluating supplier companies that make up the target company's supply chain from the perspective of at least one of ESG and SDGs, based on non-financial information and financial information of the supplier companies; a supply chain index calculation step of calculating a supply chain index for evaluating the supply chain from at least one of the perspectives based on the individual company index, the non-financial information, the financial information, and inter-company network information in the supply chain; An information processing method including:

5. a step of calculating individual company indicators for evaluating supplier companies that make up the target company's supply chain from the perspective of at least one of ESG and SDGs, based on non-financial information and financial information of the supplier companies; a supply chain index calculation step of calculating a supply chain index for evaluating the supply chain from at least one of the perspectives based on the individual company index, the non-financial information, the financial information, and inter-company network information in the supply chain; An information processing program that causes a computer to execute the above.

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