KR20140133666A - Method and System on Convergence Index Preperation for Industrial Convergence Index - Google Patents

Abstract

The present invention relates to a method for processing convergence evaluation information for an industrial convergence indicator and a convergence evaluating system thereof. According to the present invention, the method of the convergence evaluating system to process information includes the steps in which the convergence evaluating system (A) receives convergence level indicator values for each convergence level indicator comprising the convergence level of a target for convergence evaluation and a convergence performance indicator values for each convergence performance indicator using an evaluator terminal; (B) performs indicator conversion of one or more of the received convergence level indicator values and the convergence performance indicator values; and (C) calculates a convergence index by using the indicator-converted convergence level indicator values and the indicator-converted convergence performance indicator values. The present invention contributes to systematic evaluation of convergence level for yielding a convergence indicator through the convergence evaluation system.

Description

Method and System for Convergence Index Preperation for Industrial Convergence Index "

The present invention relates to a method and system for calculating convergence for calculating an industry convergence index, and more particularly, to a convergence computing method for calculating an industry convergence index taking into consideration a convergence level and a convergence point. ≪ / RTI >

Article 26 of the Industrial Convergence Promotion Act and Article 31 of the Enforcement Decree of the "Development and Application of the Convergence Measurement Index" explicitly stipulate the development of the Industrial Convergence Index, so that the Industrial Convergence Index is measured objectively and systematically A method of calculating the convergence property and a system thereof have been required.

Especially, in the era of technology convergence, industrial convergence is occurring in various fields. However, there is a lack of institutional and policy-based data for promoting industrial convergence, discussions on various convergence products such as convergent products and convergence services are under way, but there are no systematic evaluation items to quantify the degree of convergence .

Therefore, objective evaluation criteria reflecting the meaning of "convergence" are required for policies and projects for activating various industrial convergence, such as certification of new products for fusion, selection of a fusion leader, support for convergence R & D projects and so on. A systematic index is needed to evaluate the degree of convergence to the evolving product itself. In particular, it is necessary to further develop the convergence index, which can prepare measures to evaluate the convergence of various convergence products such as products, services, and contents as well as the upgrading of the industry convergence index considering the economic and social aspects Do.

A first technical problem to be solved by the present invention is to disclose a configuration of a convergence calculation system.

A second technical problem to be solved by the present invention is to disclose an information processing method of a convergence computing system.

According to an aspect of the present invention, there is provided an information processing method of a convergence computing system, wherein the convergence computing system comprises: (A) an evaluator terminal configured to determine a convergence level, Obtaining a fusion performance index value by the fusion level indicator value and the fusion performance index; (B) performing an indicator conversion on at least one selected from the acquired fusion level indicator values and the fusion performance indicator values, and (C) Wherein the convergence index is one or more selected from the group consisting of originality, scalability, and linkage, and the convergence index includes at least one of market value growth rate, market size growth rate , And job creation. The present invention provides a method for processing information on convergence calculation of a convergence computing system.

Wherein the originality includes an originalness index including at least one of technical originality and originality of functionality, and the extensibility includes an extensibility index consisting of at least one of technical ripple and service extensibility And the like.

The market value growth potential includes a market value growth performance index comprised of at least one selected from the group of industry profit change, market risk, linked industry ripple effect and market value change, , The size of the industry, the size of the industry, the size of the market, and the tendency of the market size to change. It is desirable to include an employment creation detail indicator constituted.

Preferably, the index conversion is a characteristic index conversion.

Wherein the characteristic index conversion is performed by converting the evaluation score obtained from the evaluator terminal into a standard score, wherein the standard score is a characteristic score of the promising technology to be calculated and a characteristic index value of the industry field to which the promising technology belongs And the standard score of the promising technology is < RTI ID = 0.0 >

It is preferable to use the numerator (the characteristic index of the promising technology) - (the average index of the characteristic index in the relevant industry sector) and convert it using the denominator (the standard deviation of the characteristic index values of the industry).

The above index conversion is a statistical data conversion. The statistical data conversion calculates the increase / decrease rate using the statistical data of the last three years based on the convergence calculation time point and calculates the increase / decrease rate of the industry by giving a high weight to the recent increase / .

The expert evaluation of the convergence level indicator is to select the core technology that implements the main function and the use for the promising technology to be evaluated at the level of the guidance system in the industrial technology road map. Is to evaluate the originality of the film in a hierarchical manner.

It is preferable that the fusion level indicator and the lower indicator constituting the fusion performance indicator are given predetermined weights and that the weight can be changed by the manager of the convergence evaluation system.

In order to accomplish the object of the present invention, there is provided a convergence calculation system characterized by carrying out the method according to any one of the above.

The present invention has the following effects.

First, through the convergence calculation system, the industry convergence index can be systematically calculated.

Second, through the convergence calculation system, it is possible to systematically extract and compare evaluation items or industrial index calculation items having similar indexes (values) according to the detailed index constituting the Industrial Convergence Index or Industrial Convergence Index.

BRIEF DESCRIPTION OF THE DRAWINGS Fig. 1 is a diagram showing a configuration of an embodiment of the convergence calculation system of the present invention. Fig.
FIG. 2 is a diagram showing a configuration of an embodiment of the fusion index evaluation system of the present invention. FIG.
3 is a diagram of an embodiment information processing method of the convergence calculation system of the present invention.
4 is a diagram of an exemplary information processing implementation of the data management module of the present invention.
FIG. 5 is a diagram of an embodiment of an information processing process of the evaluation target registration module of the present invention. FIG.
6 is a diagram of an exemplary information processing implementation of the expert management module of the present invention.
7 is a diagram of an embodiment of the information processing implementation of the fusion level and convergence property calculation module of the present invention.
Figure 8 is a diagram of an exemplary information processing implementation of the expert review module of the present invention.
9 is a diagram of an exemplary information processing implementation of a module of a result reporting module of the present invention.
10 is a diagram of another exemplary embodiment information processing implementation of a module of a result reporting module of the present invention.

Hereinafter, the present invention will be described in more detail with reference to the drawings.

The convergence index calculation system of the present invention includes a convergence index evaluation system 1000 for processing a convergence index evaluation task and a convergence index calculation system 1000 for performing a convergence index calculation system in conjunction with the convergence index evaluation system 1000, (2000). The convergence calculation system 100 is connected to a user terminal using the convergence calculation system 100 via a wired / wireless network, an evaluator terminal using the convergence index evaluation system 1000 and various related systems via a wired / wireless network have.

 The convergence processing system 2000 includes an index value conversion unit 2100 for converting an index value for each fusion index obtained by the convergence index evaluation system 1000 and a convergence calculation (2200). The indicator value conversion unit 2100 may include a characteristic index conversion unit 2110 for converting the characteristic index value and a statistical data conversion unit 2120 for converting the statistical data.

Since the convergence processing system 2000 processes the information obtained from the convergence index evaluation system 1000, the information processing method of the convergence index evaluation system 1000 will be described with reference to FIGS. 2 and 3. FIG. FIG. 2 is a diagram illustrating an exemplary configuration of a fusion index evaluation system 1000 according to the present invention. 1 and 2, the convergent indicator evaluation system 1000 of the present invention is connected to at least one or more evaluator terminals 4200 through a wired / wireless network 3000 and provides information to the evaluator terminal 4200 Receive. The fusion index evaluation system 1000 can exchange information with at least one associated system 5000 connected to the wire / wireless network 3000. The fusion index evaluation system 1000 includes an input / output unit 1100, a fusion DB unit 1200, and a function module 1300. The input / output unit 1100 includes an information transmitting unit 1110 for transmitting information to the evaluator terminal 4200 and an information obtaining unit 1120 for obtaining evaluation information from the evaluator terminal 4200. The fusion DB unit 1200 may include a fusion evaluation item DB 1210, a fusion evaluation DB 1220 and an infrastructure data DB 1230, an evaluation expert DB 1240, and a weight DB 1250. The functional module 1300 includes a data management module 1310, an expert management module 1320, a convergence level calculation module 1330, a convergence evaluation module 1340, an expert evaluation module 1350, (1360).

The convergence evaluation item DB 1210 includes a convergence level index DB 1211 including information on the convergence level index and a convergence performance index DB 1212 including information on the convergence performance index. The convergence evaluation DB 1220 is provided with a convergence level evaluation DB 1221 that includes information on the convergence level evaluation results of the detailed indicators of the convergence level indicators and information on the convergence performance evaluation results of the detailed indicators of the convergence performance indicators And a convergence performance evaluation DB 1222 including the evaluation results.

4 is a diagram of an exemplary information processing implementation of the data management module 1310 of the present invention. In the base data DB 1230, a MAE DB 1231 including data on technical items obtained from the MAE system managed by the Ministry of Industry and Commerce of the Republic of Korea, a business service model including data on business service model items DB 1232, Industrial Classification System DB of Korea National Statistical Office, and DB Classification Table DB 1234 of the Bank of Korea. 4, the data management module 1310 inputs data such as a MAE DB 1231, a business service model DB 1232, an industrial classification system DB of the National Statistical Office, and a Korean bank classification table DB 1234 And provides the ability to search.

6 is a diagram of an exemplary information processing implementation of the expert management module 1320 of the present invention. The expert DB includes management information for industry-academia-industry experts for each technology and industry sector by inputting or evaluating the index value by the convergence level indicator and the fusion performance index by the convergence index evaluation system 1000 . FIG. 6 shows an example of field values input to the expert DB.

7 is a diagram of an embodiment of an embodiment of the fusion level and convergence performance calculation module 1340 of the present invention. In the weight value DB 1250, each fusion level indicator, the convergence indicator, and the detailed indicators thereof And information on the score and / or the weight to be given.

3 is a diagram illustrating an exemplary information processing method of the fusion index evaluation system 1000 of the present invention.

The fusion index evaluation system 1000 transmits the fusion level index value input request information for each fusion level index constituting the fusion level to the evaluator terminal 4200. The detailed indicators and evaluation items constituting the above-mentioned convergence level index, their contents and types are shown in Table 1 below.

Detailed index
(score) evaluation
Item Contents type Originality
(20) Technology
Originality - Evaluate whether the core technology being evaluated is a technology that is applied as a critical technology to the field in question

- Scoring using core technologies and characteristic indicators (originality) of the technology roadmap dose function
Originality - Evaluate the originality of the functions implemented by the core technologies to be evaluated.
- Evaluate the originality of the implementation function of each core technology of the technology roadmap (Expert) Qualitative Scalability
(20) Technology
Ripple - Evaluate the technological spread of core technologies applied to the evaluation target

- Scoring using key technology and characteristics indicators (pervasiveness) of the technology roadmap dose service
Scalability - Evaluation based on scalable services area

- Scoring using service business classification Qualitative industry
Connectivity
(10) Cross-industry
Connectivity - Evaluate how various industries are linked to the evaluation target and whether they are concentrated in a specific industry

- Scoring using the number of linkage criteria in the relevant major classification criteria of the technology roadmap and service business model classification scheme. Qualitative

The experts transmit, through the information transmission unit 1110 of the fusion indicator evaluation system 1000, detailed indicators such as originality, extensibility, and industry linkage constituting the fusion level indicator, The evaluation value is input to the technical or technical field or product to be evaluated. Although there are quantitative values among the evaluation values, qualitative values can also be input.

The fusion index evaluation system 1000 obtains the fusion level index value for each fusion level indicator constituting the fusion level for the object of convergence evaluation from the evaluator terminal 4200. The fusion level indicator will be described in more detail.

Describe the uniqueness among the fusion level indicators. Uniqueness is an indicator of the development potential of the core technology applied to the target and the innovation of the main function implemented by the technology. The originality of this convergence level is evaluated by two items such as technical originality and functional originality. Technology originality is evaluated based on the number of core technologies applied to the evaluation subject and the generality of core technologies. Functionality creativity is judged by expert evaluation on the main functions implemented by the core technology applied to the evaluation subject. As the number of core technologies applied to the evaluation target and the degree of originality according to the core technology are higher and the functional originality of the core technology is higher, the fusion degree is calculated to be higher in the calculation through the fusion level calculation module 1330. At this time, the core technologies and sources are evaluated using the data set out in the technical scheme and characteristic index of the 2011 industrial technology roadmap. The data presented in the technical diagram of the industrial technology road map 2011 and the characteristic index of 2011 constitute the contents of the MAE DB 1231.

Extensibility among the convergence level indicators is explained. Scalability is an indicator of the technological linkage of key technologies applied to the evaluation target and the possibility of extension to the service side. The extent of the convergence level consists of two evaluation items: technology penetration and service scalability. Technology penetration is a factor that evaluates the technical ripple effect of the core technology applied to the evaluation target. Service extensibility assesses the extent to which the subject can be linked / extended to the service area through an expert. The higher the number of core technologies applied to the evaluation target and the spreadability by core technology, the higher the convergence degree is, if it can be linked / extended to various services.

Next, the connection among the fusion level indicators will be described. Connectivity is an indicator of the degree to which the industry is linked to the production, production and services to be assessed. The integration level of convergence level is an evaluation item of how various industries and evaluation objects are connected, and it is evaluated in terms of technology-oriented industrial and service-oriented industries. The more industries that are linked to the evaluation target, the higher the degree of convergence.

The fusion index evaluation system 1000 transmits the fusion performance index value input request information to the evaluator terminal 4200 according to the fusion performance index constituting the fusion performance to the convergence evaluation object.

The detailed indicators and evaluation items constituting the above-mentioned convergence level index, their contents and types are shown in Table 2 below.

Detailed index
(score) evaluation
Item Contents type Market value
Growth potential
(20) revenue
Growth potential - Evaluate the profitability of the industries that include the target
- Scoring using the National Statistical Office's operating profit growth rate data dose Value Creation
Risks - Assessment of the risk factors (production cost and degree of competition) affecting the value added of the subject to be evaluated
- Expert assessment of external environmental factors that may be a risk factor for value creation, such as production costs and the status of competitive products Qualitative Linked industry
Ripple - Evaluate the added value created by the linked industry according to the demand of the evaluation target
- Scoring using the value added induction coefficient of the Bank of Korea dose Market value
A trend of change - The evaluation of the simple change tendency of the added value to be evaluated by experts considering the overall situation Qualitative Market Size
Growth potential
(20) Scale
Growth potential - Evaluate the growth potential of the sales volume of the industry that includes the evaluation target
- Scoring using the statistics of the National Sales Revenue Rate dose market
Risks - Evaluate the risk factors (market competition level) that affect the market size of the target market
- Evaluation of external environmental factors that negatively affect value creation, such as market competition Qualitative Linked industry
Ripple - Evaluate the production inducement of the linked industry according to the demand of the evaluation subject
- Scoring using the production inducement coefficient of the Bank of Korea dose Market Size
A trend of change - Expert assessment of changes in the market size of the subject to be evaluated, taking into account the overall situation Qualitative employ
Creation
(10) Employment Change - Assessment of the rate of change in the employment rate of the industries included in the evaluation target
- Scoring using the number of employees at the National Statistical Office dose Linked industry
Ripple - Evaluate the employment inducement level of the linked industry according to the demand of the evaluation target
- Evaluation using the employment coefficient and employment induction coefficient of the Bank of Korea dose Job creation
A trend of change - Expert evaluation on future employment increase and job creation Qualitative

The experts will make a detailed analysis on the detailed indicators of the market value growth potential, the market scale growth performance, and the employment creation ability constituting the convergence performance index through the information transmission unit 1110 of the fusion index evaluation system 1000 The evaluation value is inputted through the evaluator terminal 4200 with respect to the technical or technical field or product to be evaluated on the basis of the lower indicator which can be evaluated. Although there are quantitative values among the evaluation values, qualitative values can also be input. The convergence performance calculation module 1340 calculates convergence performance through the evaluation values of the input experts by the indicators.

The convergence index evaluation system 1000 obtains the convergence performance index values constituting the convergence performance for the convergence evaluation target from the evaluator terminal 4200.

Meanwhile, Table 3 below shows an example of the weight DB for each evaluation index.

division Component Detailed index Evaluation items weight Industry convergence index
(100) Fusion level
(50) Creativity (20) Technology Originality 10 Feature Originality 10 Scalability (20) Technology ripple 10 Service Scalability 10 Connectivity (10) Industry Connectivity 10 Fusion performance
(50) Market value
Growth (20) Industry Revenue Change 4 Market risk 6 Linked industry spillover 4 Market value change tendency 6 Market Size
Growth (20) Industry size change 4 Market risk 6 Linked industry spillover 4 Market size trend 6 Job Creation (10) Employment Change 2 Linked industry spillover 3 Employment Change Trend 5

Next, the fusion performance index will be described in more detail. Market value The growth potential is a value that evaluates the creation of the market value of the evaluation target because it can be regarded as the profit generated by the evaluation target in the market, that is, the added value (or profit or operating profit). Market value The growth potential is determined by internal / external factors such as changes in the earnings of the industry, the risk of creating market value, the spread to the linked industry, and the trend of future market value.

Market size Growth potential can be seen as the size of the market, ie, sales (or shipment) of the target market, so market growth potential can be identified based on market size growth rate. Market size The growth potential is based on the internal and external factors such as the size of the industry including the subject of evaluation, the risk of creating market sales, the spread to the linked industry, and the trend of future market size.

"Employment creation" can be presented as a solution to the current job problem, which can be regarded as creating social value. "Job creation" is an evaluation of the increase / decrease in the level of employment through the production / manufacturing / service to be evaluated, and it is determined through the number of employees who change in connection with the evaluation target. Employment creation is based on internal / external factors such as the employment change of the industry including the evaluation target, the spread to the linked industry, and the trend of future employment change.

Figure 8 is a diagram of an exemplary information processing implementation of the expert review module of the present invention. The expert review module provides detailed guideline information for an effective evaluation of the experts. As illustrated in FIG. 8, for the evaluation of the trend of change in employment creation among employment creation, the fusion index evaluation system 1000 provides five selectable views for this detailed index, Or two or more.

The following is a detailed description of the employment change tendency exemplified in Fig.

1) Considering the performance / functional characteristics, market formation and competition level of the evaluation subject, changes in the market economy, and the status of the relevant industries, the change in the number of employees through production / sales

(1) Much of this is negative, and therefore the number of employed people will decrease sharply.

(2) Most of the situations are somewhat negative, and the number of employed people will gradually decrease.

(3) According to the positive and negative factors, it is difficult to judge the change in the number of employees.

(4) Most situations are somewhat positive, and the number of employed workers will gradually increase.

(5) Much is positive, and thus the number of employed people will increase rapidly.

Next, the convergence property calculation method of the convergence property calculation system 100 will be described in more detail. As shown in FIG. 3, the convergence calculation system 100 obtains a convergence level indicator value by the convergence level indicator and a convergence performance indicator value by the convergence performance indicator that constitute the convergence level to the evaluator terminal S11), and performs an indicator conversion on at least one of the received fusion level indicator value and the fusion performance indicator value (S12). The fusion level indicator value obtained by performing the indicator conversion and the fusion performance indicator (S13). ≪ / RTI >

Next, the convergence processing system 2000 of the convergence calculation system 100 will explain the convergence level indicator and the concrete information processing method for the convergence indicator with the detailed indicators of the convergence level indicator and the convergence will be described in detail.

The characteristic index converter 2110 performs conversion on the acquired index. Each characteristic index is evaluated by the experts in the field from 1 point to 5 points. It is possible to compare within the field (35 industries), but there is a problem that comparison between the fields is difficult. Therefore, it is necessary to convert the characteristic index for each field into the standard score (Z value) in order to compare and utilize the characteristic index between the fields. If such a transformation is performed, assuming that the field characteristic index values follow the normal distribution, there is an advantage that the field standardized values can be compared with each other.

The characteristic index conversion value is preferably processed by the following expression.

Next, the function of the statistical data conversion section 2120 will be described.

The data of the National Statistical Office (NSO) are three indicators of the amount of shipment, value added, and number of employees among the mining / manufacturing survey results of the last three years. For each of these three indicators, the tax rate is calculated and the three statistical indices can be calculated and used in the same way.

First, the rate of increase / decrease is calculated based on the statistical data of the last three years (hereinafter referred to as y, y-1, and y-2).

Next, we calculate the growth rate of the industry by giving a high weight to the increase / decrease rate of the recent year.

(y year change rate) X 0.7 + (y-1 year increase / decrease rate) X 0.3) = Sector change rate

Next, we calculate the rate of industrial change in the manufacturing, mining and service industries at the same level.

The data for the Korea Banking Industry Index used can be derived from recent production inducement coefficient ((IA ^d ) ^-1 ), value added inducement coefficient, and employment creation coefficient. For the production inducement coefficient, use the table "(IA ^d ) ^-1 " and judge the heat total data as the total domestic production inducing effect through the corresponding basic sector. Each factor can be divided into 1 to 10 grades according to their size, and 1 point to 10 points can be assigned (if the coefficient value is large, a high grade can be assigned). If each coefficient is large, .

Meanwhile, the indicator value conversion unit 2100 may use the following characteristic index conversion values and a score table based on the selected core technology.

division Characteristic index conversion score -0.856 or less -0.855 ~
-0.256 -0.255 ~
0.255 0.256 ~
0.845 0.846 or more (Lower 20% or less) (Lower 20% to 40%) (Lower 40% to 60%) (Lower 60% to 80%) (Lower 80% or more) main point
Technology
Number 1 to 4 One 2 3 4 5 5 to 9 2 3 4 5 6 10 to 19 3 4 5 6 7 20 to 29 4 5 6 7 8 30 to 49 5 6 7 8 9 50 to 80 6 7 8 9 10 More than 81 7 8 9 10 10

Meanwhile, when the indicator value conversion unit 2100 processes the evaluation contents of the expert on the convergence level indicator, the core technology that implements the main functions and uses of the evaluation target is referred to as the promising technology (or core (5 points), middle points (3 points), and bottom points (1 point) of the functions implemented by the core technology for each core technology selected for the information selected at the level It might be.

Next, specific evaluation items and calculation (calculation) methods for calculating the convergence score (fusion index) of the fusion property calculation system 100 of the present invention are shown in the following Tables 5 to 20, Explain by indicators.

Component Fusion level Detailed index Originality Evaluation items Technology Originality type Quantitative factor summary ㅇ Based on the core technology applied to the evaluation target, it evaluates the diversity of each development potential and applied core technology.
ㅇ Considering the number of core technologies applied to assess diversity of core technologies
ㅇ Utilizing "technology" as a characteristic index of core technology applied to evaluate the development potential of core technology Evaluation content /
Application data [Application data]
- Industrial technology road map Technical system diagram and characteristic index (proportion of technology) Conversion value Evaluation items /
Calculation method 1) (Expert) Select the core technology applied to the evaluation target
2) Scoring based on the average of the conversion value and the number of core technologies
3) Using the characteristic index conversion value score table

* Minimum 1 point, maximum 10 points Remarks - Many experts select core technologies, with more than half of them selecting at the same time

Component Fusion level Detailed index Originality Evaluation items Feature Originality type Qualitative factor summary Evaluate the originality of the functions implemented by the core technology applied to the evaluation target
ㅇ Based on the main features and characteristics of the evaluation subject, judge how original the function is Evaluation content /
Application data [Application data]
- Industrial technology road map Technical system diagram and characteristic index (proportion of technology) Conversion value Evaluation items /
Calculation method 1) (Expert) Deriving the functions implemented by selected core technologies
* Derive specific functions rather than deriving specific functions, focusing on core functions that the general public can understand
2) (Expert) Select how innovative the function implemented by the evaluator is

* Award (5 points): This is a function that has not been experienced before, or it is a very innovative function to perform the purpose and purpose of the evaluation object.
* (3 points): This is an advanced function that has been experienced in the past,
* Bottom (1 point): When it is not up or middle

3) Score the results of the expert evaluation through the following equation
* (Sum of originality score of each core technology) / (5 * number of core technologies) X 10

* Minimum 2 points, maximum 10 points Remarks - Use average score when many experts evaluate

Component Fusion level Detailed index Scalability Evaluation items Technology ripple type Quantitative factor summary ㅇ The core technology applied to the evaluation target evaluates the technical spread
ㅇ Evaluate the extent of core technologies applied to the evaluation target to other industries and evaluate the degree of diffusion through convergence. Evaluation content /
Application data [Application data]
- Industrial technology road map Technical system diagram and characteristic index (ripple effect) Conversion value Evaluation items /
Calculation method 1) (evaluation based on core technology selected by experts in technology originality)
2) Scoring based on the average of the "ripple effect" conversion value, which is the characteristic index of the selected core technology, and the number of core technologies
3) Using the characteristic index conversion value score table

* Minimum 1 point, maximum 10 points Remarks - Many experts select core technologies, with more than half of them selecting at the same time

Component Fusion level Detailed index Scalability Evaluation items Service Scalability type Qualitative factor summary Evaluate the service areas to which the evaluation subject can be applied
ㅇ Understand the service areas that can be linked / extended based on the key functions implemented by the evaluator. Evaluation content /
Application data [Application data]
- Service business model classification system (10 major categories and 73 sub categories) Evaluation items /
Calculation method 1) (Expert) The service field that can be linked and extended based on the main functions and characteristics implemented by the evaluator is selected at the sub-category of "Service Business Model Classification System"
2) Divide the number of service sectors selected in 1) by the number of service sectors (subdivisions) of industry convergence items that have the highest "service scalability" and multiply by 10
(Number of applicable service sectors to be evaluated) X 10 (number of service sectors + 1)
* MAX (Number of Service Sectors): The number of services connected with the service is the most connected.
* 31 is used as a denominator in order to give a score of 10 points when there are items linked to more service fields than smartphones.

3) If the value derived from 2) is less than 1, 1 point is given. If it is more than 10, 10 points are given

* Minimum 1 point, maximum 10 points Remarks - If multiple experts are evaluating, score a percentage based on the service field chosen by a majority of the experts

Component Fusion level Detailed index Connectivity Evaluation items Industry Connectivity type Quantitative factor summary ㅇ Evaluate industry linkages with the diversity of industries connected with the evaluation target.
ㅇ It is divided into technology-oriented industry and service-oriented industry. Evaluation content /
Application data [Application data]
- Service business model classification system (10 major categories and 73 sub categories)
- Industrial technology roadmap Evaluation items /
Calculation method 1) Understand the core technologies selected by the experts in the originality of technology, identify the industries that include each core technology -> Identify the technology-oriented industries
* Technology system means 35 industries of the province
2) Identify the industry (major category) in which each service sector is included in the service sector selected by the experts in the service extensibility -> Identify the number of industries related to the service
* Meaning of major classification of service business model classification system
3) Add the values derived from 1) and 2).
4) Divide the value derived from 3) by the number of industries linked to the industry convergence items that show the highest "industrial linkage", then multiply by 10
(The number of industries linked to the evaluation target) X 10 (MAX (industry linkage) + 1)
* MAX (Linkage Industry): MAX (Linked Industry Number) is used when linking with the largest number of industries connected through case verification. Currently, it is linked to 11 industries for electric vehicles and smart phones grasp
* 12 is used as a denominator in order to give a score of 10 points when there are items connected to more industries than electric cars and smart phones.

3) If the value derived from 2) is less than 1, 1 point is given. If it is more than 10, 10 points are given

* Minimum 1 point, maximum 10 points Remarks - If multiple experts are evaluating, score a percentage based on the service field chosen by a majority of the experts

Component Fusion performance Detailed index Market value growth potential Evaluation factor Industry Revenue Change type Quantitative factor summary ㅇ Evaluate the economic value created by market convergence of industrial convergence products made by combining various technologies and functions.
ㅇ The economic market value created by the target of the evaluation is realized by the income from production and sales.
Based on the added value (or operating profit) * of the tax classification (KSIC 5 digit level) including the subject to be evaluated * Evaluation content /
Application data [Application data]
- Value Added and Operating Profit Data of the NSO Mining Manufacturing Survey and Service Industry Survey Evaluation items /
Calculation method 1) (Expert) In the KSIC (Korea Standard Industry Classification System), industries with high relevance to production /

2) (Expert) Enter the weight of each industry in the evaluation target
* The specific gravity is a sum of 1

3) Based on the value-added (or operating profit) index, derive the rate-of-change evaluation factor *
* [1] Reference data processing reference

4) Rate of change ratio evaluation factor Scoring by score table

* Minimum 1 point, maximum 10 points Remarks - The economic value of the market has various indicators such as added value, profit, and operating profit, but this index is based on value added and operating profit.
- It is difficult to judge the added value realized for a specific product level item. Therefore, it is necessary to grasp the value-added ratio (or operating profit rate)
- Sector classification can be seen as a set of items similar to the evaluation target, and the approximate change in profit can be identified

Component Fusion performance Detailed index Market value growth potential Evaluation factor Linked industry spillover type Quantitative factor summary ㅇ Evaluate the economic value created by market convergence of industrial convergence products made by combining various technologies and functions.
ㅇ Production / sales of the evaluation target affects the production / sales of other industries, and the creation of added value of other industries leads to a change in the value added of the entire market.
Based on the value added inducement coefficient of the basic sector including the item to be evaluated Evaluation content /
Application data [Application data]
- Bank of Korea Industry Index Value Added Induced Coefficient Evaluation items /
Calculation method
1) (Expert) In the Bank of Korea classification system, select the basic sector that is highly related to the production / manufacturing and sales / service of the evaluation target
2) The score is given according to the value added induction coefficient grade of the basic sector.
* [1] Reference data processing reference
* Grant from grade 10 to grade 1 depending on the size of the "value-added induction coefficient"

* Minimum 1 point, maximum 10 points
Remarks

* Basic Sector: The Bank of Korea classification system consists of Integrated Major Category (28) - Integrated Sub Category (78) - Integrated Sub Category (168) - Basic Category (403)

Component Fusion performance Detailed index Market value growth potential Evaluation factor Market risk type Qualitative factor summary ㅇ Industrial convergence products created through combination of various technologies and functions will evaluate future changes in economic value created by the market.
ㅇ Evaluate the risk of the market such as comparison with alternative / competitive products and change in added value due to production cost in order to create economic value in the market. Evaluation content /
Application data [Evaluation contents]
- Evaluate the risk of market value creation by alternative / competitive products
- Evaluate the impact of added value reduction through changes in production costs, such as raw materials and manufacturing costs. Evaluation items /
Calculation method 1) Risks due to substitute / competitive products
? If there are various alternatives / competitive products, and there are competitive products that are superior in performance / function
? If alternative / competitive products exist and there are competing products with some performance / functionality
? If there is a substitute / competitive product and there is no difference in its performance / function
? If there is an alternative / competitive product, but there is a big difference between the evaluation target and performance / function
? If there is no replacement / competitive product

2) Influence of added value on production cost
? Production costs are expected to rise in line with rising raw material and manufacturing costs, but profits are likely to decline due to market competition
? Although production costs are expected to rise due to rising raw materials and manufacturing costs, if profits can be slightly reduced compared to existing ones due to market competition
? If production costs are expected to rise due to rising raw materials and manufacturing costs, but profit can be conserved to some extent through price adjustments
? If profit can be conserved regardless of production cost
? If you can increase profits regardless of production cost

3) Scoring system
- 1), 2) Combine the views of the items and calculate the score
- Out of 10 points, minimum 1 point,
Category 8 or more 765432 points 10 points 8.5 points 6.5 points 5.5 points 3.5 points 2.5 points 1 point * Calculated to the full mark when selecting more than 4 items Remarks - The existence of alternative / competing products and their function / performance hinders the implementation of economic value
- Value added (profit or profit) is affected by production cost and sales price, so increase of production cost causes decrease of value added without change in sales price

Component Fusion performance Detailed index Market value growth potential Evaluation factor Market value change tendency type Qualitative factor summary ㅇ Industrial convergence products created through combination of various technologies and functions will evaluate future changes in economic value created by the market.
ㅇ Evaluate the tendency of market value change of the subject to be evaluated considering various internal and external factors such as profitability change at industry level, Evaluation content /
Application data [Provided data]
- Provides data such as changes in industry profitability, linked industry spillover, market risk, and evaluator selection items
[Evaluation contents]
- Estimate the trend of changes in the future market value (profit) of the item under evaluation. Evaluation items /
Calculation method 1) When considering the performance / functional characteristics of the subject to be evaluated, the change of the substitute / competitive product, the cost, the change of the market economy, the status of the relevant industry,
(1) many factors are negative, and the market value will decrease sharply.
(2) Most situations are somewhat negative, and market value will gradually decrease.
(3) It is difficult to judge changes in market value due to the combination of positive and negative factors.
(4) Most situations are somewhat positive, and market value will gradually increase.
(5) Much is positive, and market value will increase rapidly.

2) Scoring system
- Depending on the selected view, score points based on the table below
- Out of 10 points, minimum 1 point,
Choice 54321 points 10 points 10 points 5 points 3 points 1 point * As a result of the comprehensive evaluation, it gives a high score according to the positive result
Remarks - Understand the growth and decline of market value as a result of comprehensive judgment to grasp changes in market value

Component Fusion performance Detailed index Market size Growth potential Evaluation factor Industry size change type Quantitative factor summary ㅇ Market formation through industrial convergence products made by combining various technologies and functions can be regarded as the realization of economic value.
ㅇ Evaluate changes in market size through sales
ㅇ Based on the sales (or shipment) * of the tax classification (KSIC 5 digit level) including the evaluation subject * Evaluation content /
Application data [Application data]
- Data on sales and shipment during survey of mining industry survey and service industry Evaluation items /
Calculation method 1) (Expert) In the KSIC (Korea Standard Industry Classification System), industries with high relevance to production /

2) (Expert) Enter the weight of each industry in the evaluation target
* The specific gravity is a sum of 1

3) Based on the sales (or shipment) index, derive the growth factor evaluation factor *
* [1] Reference data processing reference

4) Rate of change ratio evaluation factor Scoring by score table

* Minimum 1 point, maximum 10 points Remarks - The economic size of the market can be determined by various indicators such as the purchase amount according to the aggregate demand and the sales amount of the producer side. However, this study is based on the sales (or shipment amount)
- It is difficult to judge the size of the market for a specific product level item. Therefore, it is necessary to grasp the sales (or shipment)
- Sector classification categories can be viewed as a set of items to be evaluated and a similar product group, and the approximate change in sales can be identified

* In the case of the service industry, it is not possible to grasp the fact that the production amount is not used for the market size, and the market size is often evaluated based on the sales standard rather than the production standard.

Component Fusion performance Detailed index Market size Growth potential Evaluation factor Linked industry spillover type Quantitative factor summary ㅇ Market formation through industrial convergence products made by combining various technologies and functions can be regarded as the realization of economic value.
ㅇ Production / sales of the evaluation target also affects production / sales of other industries, leading to changes in the overall market size through production of other industries
ㅇ Based on the production inducement coefficient of the basic sector including the item to be evaluated Evaluation content /
Application data [Application data]
- Bank of Korea Industry Induction Table Production Induction Factor (IA ^d ) ^-1 Type Table Evaluation items /
Calculation method
1) (Expert) In the Bank of Korea classification system, select the basic sector that is highly related to the production / manufacturing and sales / service of the evaluation target
2) given the production inducement coefficient (IA ^{d) -1} scores depending on the type of grade primary sector
* [1] Reference data processing reference
* Granted from grade 10 to grade 1 depending on the size of "production induction coefficient (IA ^d ) ^-1 type""heattotal"

* Minimum 1 point, maximum 10 points
Remarks

* Basic Sector: The Bank of Korea classification system consists of Integrated Major Category (28) - Integrated Sub Category (78) - Integrated Sub Category (168) - Basic Category (403)

Component Fusion performance Detailed index Market size Growth potential Evaluation factor Market risk type Qualitative factor summary ㅇ Market formation through industrial convergence products made by combining various technologies and functions can be regarded as the realization of economic value.
ㅇ Evaluate the risk of scale growth through the degree of formation and saturation of the market that includes the evaluation subject Evaluation content /
Application data [Evaluation contents]
- Evaluate the degree of intensification of market competition considering the market formation and competition situation in a comprehensive manner. Evaluation items /
Calculation method 1) Deepening of market competition (market formation and competition)
(1) The market is in a difficult position to enter the market due to saturation
(2) The market is becoming mature and market competition is intensifying
(3) How many markets are formed and various strategies are needed
(4) Market competition is weak in the early stage of market formation
(5) Situation in which new markets can be created by the stage of market formation

2) Scoring system
- Scoring based on the table below according to the selected view

Optional items 54321 points 10 points 8 points 6 points 3 points 1 point
* Minimum 1 point, maximum 10 points Remarks - The formation of the market and the degree of competition obstruct the market growth of the product.

Component Fusion performance Detailed index Market size Growth potential Evaluation factor Market size trend type Qualitative factor summary ㅇ Market formation through industrial convergence products made by combining various technologies and functions can be regarded as the realization of economic value.
Evaluate future changes in the market size that are formed or included
ㅇ Evaluate future market size trends considering overall internal / external factors such as changes in sales of sub-sectors, industry-related ripple effects, and market risks. Evaluation content /
Application data [Provided data]
- Provides data such as changes in size of industry, the spread of connected industries, market risks, and evaluator selection items
[Evaluation contents]
- Evaluate the trends of the future market size change of the evaluation subject roughly Evaluation items /
Calculation method 1) Considering the performance / functional characteristics, market formation and competition level of the target of evaluation, changes in the market economy, and the status of the relevant industry, the change in the size of the market
(1) Much of this is negative, and the market size will decline sharply.
(2) Most situations are somewhat negative, and the market size will gradually decrease.
(3) It is difficult to judge changes in the market size depending on the positive and negative factors.
(4) Most situations are somewhat positive, and the market size will gradually increase.
(5) Much is positive, and the market size will increase rapidly.

2) Scoring system
- Depending on the selected view, score points based on the table below

Optional items 54321 points 10 points 10 points 5 points 3 points 1 point
* Minimum 1 point, maximum 10 points

* As a result of comprehensive evaluation, it gives high score according to positive result Remarks - Understand the growth and decline trend of the market size as a result of comprehensive judgment

Component Fusion performance Detailed index Job creation Evaluation factor Employment Change type Quantitative factor summary ㅇ Evaluate the effects of employment creation through industrial convergence items created by combining various technologies and functions.
ㅇ Reflects the employment status related to the production / manufacturing (or sales) of the evaluation target
ㅇ Based on the number of employees in the tax classification (KSIC 5 digit level) including the evaluation subject Evaluation content /
Application data [Application data]
- Data on the number of employees in the survey on the mining industry survey and service industry Evaluation items /
Calculation method 1) (Expert) In the KSIC (Korea Standard Industry Classification System), industries with high relevance to production /

2) (Expert) Enter the weight of each industry in the evaluation target
* The specific gravity is a sum of 1

3) Based on the number of employees, we derive the evaluation factor *
* [1] Reference data processing reference

4) Rate of change ratio evaluation factor Scoring by score table

* Minimum 1 point, maximum 10 points Remarks - It is not possible to identify new job creation due to the production / manufacturing (or sales) of the evaluation target. Therefore, by identifying the job creation on the side of the company, the value of the job creation
- Sector classification can be viewed as a set of evaluation items and a similar product group, and it is possible to grasp the approximate change in employment

Component Fusion performance Detailed index Job creation Evaluation factor Linked industry spillover type Quantitative factor summary ㅇ Evaluate the effects of employment creation through industrial convergence items created by combining various technologies and functions.
ㅇ The production / production (or sales) of the evaluation target also affects the production / sales of other industries, which is attributable to the employment creation effect of other industries
ㅇ Based on the production / sales of the evaluation target, the effects of employment creation in other industries are evaluated based on the employment inducement coefficient Evaluation content /
Application data [Application data]
- Bank of Korea industry interchange table Employment induction coefficient Evaluation items /
Calculation method
1) (Expert) In the Bank of Korea classification system, select subcategories that are highly correlated with production / manufacturing and sales / service
2) The score is given according to the employment induction coefficient grade of the basic sector.
* [1] Reference data processing reference
* Depending on the size of the "employment induction coefficient", grades 10 to 1 are given.

* Minimum 1 point, maximum 10 points
Remarks - Employment inducement coefficient is provided at the level of the integrated sub-category, not the basic category.

* Basic Sector: The Bank of Korea classification system consists of Integrated Major Category (28) - Integrated Sub Category (78) - Integrated Sub Category (168) - Basic Category (403)

* Employment coefficient includes the employment coefficient and the employment coefficient, and the employment coefficient indicating the case of the wage worker is selected and used. - The employment coefficient includes both the employee (wage worker) and the self-employed person and unpaid family worker. (Wage workers) only

Component Fusion performance Detailed index Job creation Evaluation factor Employment Change Trend type Qualitative factor summary ㅇ Evaluate the effects of employment creation through industrial convergence items created by combining various technologies and functions.
Evaluate the tendency of employment change for production / sales of evaluation subject
ㅇ Evaluate trends in changes in employment by taking comprehensive internal / external factors such as employment change and employment inducement coefficient of industry into consideration Evaluation content /
Application data [Provided data]
- Provide data such as changes in the number of employees per company, the spread of linked industries, changes in market size, changes in market value, and evaluator selection items
- Since employment is influenced by various factors such as market value and market size,
[Evaluation contents]
- Evaluate the tendency of the increase / decrease of the employment that can be generated through the evaluation subject. Evaluation items /
Calculation method 1) Considering the performance / functional characteristics, market formation and competition level of the evaluation subject, changes in the market economy, and the status of the relevant industries, the change in the number of employees through production / sales
(1) Much of this is negative, and therefore the number of employed people will decrease sharply.
(2) Most of the situations are somewhat negative, and the number of employed people will gradually decrease.
(3) According to the positive and negative factors, it is difficult to judge the change in the number of employees.
(4) Most situations are somewhat positive, and the number of employed workers will gradually increase.
(5) Much is positive, and thus the number of employed people will increase rapidly.

2) Scoring system
- Depending on the selected view, score points based on the table below

Optional items 54321 points 10 points 10 points 5 points 3 points 1 point
* Minimum 1 point, maximum 10 points
* As a result of comprehensive evaluation, it gives high score according to positive result Remarks - As a result of comprehensive judgment to identify trends in employment change, it is necessary to judge the approximate trend by taking into consideration various factors such as changes in the number of workers by industry, employment inducement coefficient, market value change,

Table 21 below is for the service part of the business model classification scheme. In the business model classification, a small classification is used.

Main Category Small classification Main Category Small classification Digital content BM Internet / Mobile Broadcasting Commerce, marketing, auction BM Shopping (online, TV, mobile), trading systems (B2B, B2C, C2C) Internet / Mobile Games Lotteries, lottery tickets, gift certificates, tickets Online education Advertising, PR, Marketing Providing information (finance / economy / life) Auction / reverse auction, agent, intermediary, lease Digital media (music, video) Entertainment, Games Digital publications Pricing, cost determination Internet Advertising reservation Broadcasting BM radio Authentication, transaction system security, password TV Financial BM Bank Terrestrial DMB Stocks, Derivatives Integrated cable insurance Relay wired Accounting, Asset Management, Financial Consulting Music wired Electronic money, points, mileage, coupon, payment, settlement Satellite broadcasting Loan, credit inquiry Satellite DMB Credit card, ATM For broadcast channel Communication BM Wired communication For home shopping channel Mobile communication Management, management BM Survey, demand forecasting, forecasting of event results Voice communication Time management, secretarial work Data communication Management of goods equipment, transfer, housing management Wireless communication Environment Remote measurement Additional communication event Special communication Personal information, schedule, labor, work, management Internet phone Industry-specific BM Travel, hotel message Transportation, parking Mail Security Internet access based service Medical, Health, Hospital fax law Credit Card Search Specific feature-specific BM Information retrieval Network Services Language, voice Computer reservation Image analysis EDI A.I Telecommunication Document processing Electronic payment Non-IT related BM (industrial classification) Industrial Business Systems Online information processing Business systems for manufacturing Internet e-commerce Business systems for construction, real estate Business systems for electricity, gas, heat and water Transportation, Logistics Business System

The convergence calculation system 100 converts the index value through the index value conversion unit 2100 of the convergence processing system 2000 based on the evaluation information of the experts obtained from the convergence index evaluation system 1000 , And can be generated for each industrial convergence item (evaluation object, fusion index calculation object) as shown in FIG. 9 and FIG. 10 by reflecting the weight through the manager input coefficient as shown in FIG. As shown in FIG. 10, the fusion level index (41.1) and the fusion index (31.1) constituting the fusion index (72.2) are calculated. The fusion level index is the originality index (13.1), the scalability index (10), and the convergence performance index consists of the market value growth index (11.5), the market size growth index (14.6), and the employment creation index (5.0). 9, the originality index is subdivided into technical originality index and functional originality index, and the extensibility index is subdivided into technical spreadability index and service extensibility index. In Fig. 10, summation of subdivided indices is shown. Meanwhile, the market value growth index is subdivided into the industry profit index, the market risk index, the linked industry index, and the market index value trend index. The market size growth index is divided into industry size index, market risk index, Scale change tendency index, and the employment creation index can be subdivided into the employment change index of the industry, the linked industry spread index, and the employment change tendency index. In Fig. 10, summation of subdivided indices is shown.

9, the convergence processing system 2000 generates an index for each of evaluation indexes or sub-evaluation indexes constituting the convergence index and the fusion index for each of the evaluation subject or the fusion index processing object, DB 1220 and stores it.

As can be seen from FIG. 10, when the fusion processing system 2000 provides information on the fusion index to a particular evaluation subject / fusion index object, the fusion index of the specific evaluation subject / fusion index object to be processed and the predetermined It is possible to provide information on at least one evaluation object / fusion index processing object having a fusion index within the range. In FIG. 10, a fusion index related to smart clothing is presented. A cruise ship and a smart pad (tablet PC) having a fusion index within a range of +/- 10 are extracted, and a cruise ship and a smart pad And an index of evaluation index constituting the fusion index or an index of each detailed evaluation index are shown. As shown in FIG. 10, when the convergence index is within a certain error range, information on the subject to be evaluated / fusion index having similar convergence characteristics can be known from the viewpoint of the convergence index, It is advantageous in that it can be facilitated. It should be appreciated that the convergence processing system 2000 has a function of adjusting the error range.

In FIG. 10, a subject to be evaluated / fusion index corresponding to a predetermined error range is presented from the viewpoint of the entire fusion index, but the fusion index for each subject to be evaluated / fusion index and the fusion level Since the convergence evaluation index DB, the convergence index, and the indices of the detailed evaluation indexes constituting the indexes are stored in the convergence evaluation DB, the convergence processing system 2000 determines whether the convergence index is within a predetermined error range The subject to be evaluated / the fusion index processing object may be extracted and displayed as shown in FIG. For example, it is possible to extract and provide at least one evaluation object / fusion index object to be processed within a predetermined error range by subdivided viewpoints such as convergence index, originality index and technical originality index. In this way, various comparative evaluations can be performed for each subject to be evaluated / fusion index processing. In other words, when there is a specific object to be evaluated / converged index, it can be compared with the object of evaluation / convergence index, which is related to the convergence from the viewpoint of convergence, by each evaluation index constituting the convergence index. On the other hand, the target to be evaluated / convergence index subject to the detailed evaluation item constituting the fusion index or the fusion index (for example, between 70 and 80 points of the fusion index) Extract and compare them.

INDUSTRIAL APPLICABILITY The present invention can be widely used in various evaluation and information industries to promote industrial convergence.

100: Convergence calculation system
1000: Fusion Indicator Evaluation System
1100: input / output unit
1110: Information transmission unit
1120: Information obtaining section
1200: fusion DB section
1210: Convergence evaluation item DB
1211: Convergence Level Indicator DB
1212: Fusion performance index DB
1220: Convergence Evaluation DB
1221: Fusion level evaluation DB
1222: Convergence Performance Evaluation DB
1230: Base data DB
1231: MAE DB
1232: Business service model DB
1233: National Statistical Office Classification System DB
1234: Korea Bank Sector Classification DB
1240: Evaluation Expert DB
1250: Weight DB
1300: Function module
1310: Data management module
1320: Expert management module
1330: Convergence Level Calculation Module
1340: Fusion and Calculation Module
1350: Expert Evaluation Module
1360: Result Reporting Module
2000: Convergence processing system
2100: Index value conversion unit 2100:
2110: Property Index Conversion Unit 2110
2120: statistical data conversion unit 2120
2200: convergence calculation unit 2200
3000: wired and wireless network
4000: terminal stage
4100: User terminal
4200: Evaluator terminal
5000: Associated system
5100: National Statistical Office System
5200: Third system

Claims (9)

In the information processing method of the convergence computing system, the convergence computing system
(A) receiving a convergence level indicator value and a convergence performance indicator value according to a convergence level indicator and a convergence performance indicator according to a convergence level indicator constituting a convergence level to an evaluator terminal;
(B) performing an indicator transformation on at least one of the obtained fusion level indicator value and the fusion performance indicator value; and
(C) calculating a convergence index using the convergence level index value obtained by performing the index conversion and the convergence index value obtained by performing the index conversion,
The fusion level indicator is any one or more selected from originality, scalability, and connectivity,
Wherein the convergence performance indicator is at least one of a growth rate of a market value, a growth rate of a market scale, and employment creation. The method according to claim 1,
The originality includes a creativity detail index composed of at least one of technical originality and functional originality,
Wherein the scalability includes an extensibility sub-index consisting of at least one of technical spreadability and service extensibility. ≪ RTI ID = 0.0 > 31. < / RTI > The method according to claim 1,
The market value growth potential includes a market value growth performance index comprised of at least one of the following: a change in an industry profit, a market risk, a spread of a linked industry, and a change in a market value,
The growth potential of the market scale includes a market scale growth performance index comprised of at least one selected from a sector size change, a market risk, a linked industry ripple effect, and a market scale change tendency,
Wherein the employment creation includes an employment creation detail index composed of at least one of employment type change of sector, affiliation industry ripple effect, and employment change tendency. 3. The method of claim 2,
Wherein the index conversion is a characteristic index conversion. 5. The method of claim 4,
Wherein the characteristic index conversion is to convert an evaluation score obtained from the evaluator terminal into a standard score,
Wherein the standard score is converted using a characteristic index value of a promising technology to be converged and a characteristic index value of an industry field to which the promising technology belongs,
The standard score for this promising technology is
Using the numerator (the characteristic indicator value of the promising technology) - (the characteristic indicator value average in the relevant industry field)
Wherein the conversion is performed using a denominator (a standard deviation of a characteristic index value of the industry sector). 3. The method of claim 2,
Wherein the indicator conversion is a statistical data conversion,
Wherein the statistical data conversion is performed by calculating the increase / decrease ratio using the statistical data of the last three years based on the convergence calculation time point and by assigning a high weight to the latest increase / decrease ratio of the latest year, Of the information on the convergence of the information.
5. The method of claim 4,
The expert evaluation of the convergence level indicator is to select the core technology that implements the main function and the use for the promising technology to be evaluated at the level of the guidance system in the industrial technology road map. And evaluating the originality of the convergence calculation information in a hierarchical manner. The method according to claim 1,
Wherein the fusion level indicator and the lower indicator that constitute the fusion performance indicator are given a predetermined weight,
And the weight is a value that can be changed by an administrator of the convergence calculation system. A convergence calculation system characterized by carrying out the method of any one of claims 1 to 8.

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