KR20180010679A - System for evaluating technology of company - Google Patents

Abstract

The present invention relates to a system for evaluating a technology of an enterprise (particularly, a venture enterprise based on a technology), and more particularly, to a system which extracts a weight of importance and priority for an evaluation factor through a Fuzzy-AHP, which is a multi-criteria decision method, using absorptive capacity of an enterprise and a technical entrepreneurship as the evaluation factor, and calculates a dynamic capacity to evaluate the technology of the enterprise on the basis of the absorptive capacity, the technical entrepreneurship, and the dynamic capacity, and also, introduces a fuzzy theory to complement cognitive ambiguity of an evaluation result compared to a conventional evaluation method which evaluates the technology of the enterprise by applying an AHP. The system for evaluating a technology of an enterprise of the present invention comprises: a monitoring module for writing an opinion of an expert; a preprocessing module for inputting an expert evaluation; a weight extraction module; an evaluation module for suggesting an evaluation result; and a dynamic capacity calculating module.

Description

SYSTEM FOR EVALUATING TECHNOLOGY OF COMPANY

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a system for evaluating a technology of an enterprise (in particular, a venture enterprise based on technology).

More specifically, a weighting factor of importance and priority of the evaluation factor is extracted through Fuzzy-AHP, which is a multi-standard decision-making corporation, as an evaluation factor of the absorption capacity and technical entrepreneurship of a company, In addition to evaluating the technological power of firms based on absorption capacity, technological entrepreneurship, and dynamic capacity, the introduction of fuzzy theory complements the cognitive ambiguity of evaluation results This is about a company's technology evaluation system.

Venture companies are high-tech, high-risk, and high-return companies with a high potential for future growth as technology-intensive groups that pioneer new markets by commercializing cutting edge new technologies and ideas in the field of information and communications.

Since these venture companies are exposed to changes in the environment of rapidly changing companies and technologies, uncertainties in the market, and variability of competition, the venture companies are looking for measures based on periodic technical evaluation and evaluation results of the companies.

The technological competitiveness of venture companies is classified as the most important factor in terms of technical competence and future profitability. Therefore, the technology evaluation evaluates the value based on the technical background in the same industry group, technical experience of the manpower, competitiveness, and business performance.

As an example, Technology valuation evaluates the value of technology. According to the Office of Technology Assessment (OTA) in the United States, "Opportunities for economic, rights, substitution and other factors for new technologies and risk factors As a series of activities that convert the market value of technology into a comprehensive analysis.

In other words, by analyzing the technological, business, market, creativity and challenging spirit related to the enterprise, it analyzes the opportunity factor and the risk factors in a comprehensive way and shows the value of the future asset as the present value.

However, the evaluation of the above technical capability is variable and uncertain due to periodically changing environment and market uncertainty, and there are cognitive ambiguity and ambiguity because it is based on expert opinion .

In other words, (a) there may be ambiguity in which the language has its own ambiguity and meaning boundaries, even if the language is a representation of a certain meaning, and (b) There is a risk of getting different results depending on the evaluator.

On the other hand, in relation to a technology for evaluating a company, Patent Publication No. 10-0921618 describes a technology evaluation method for a technology start-up company.

The above-mentioned technology relates to a technology evaluation method for calculating a rating by simultaneously evaluating the future success probability of a technology business and the risk of undermining a commercialization business to a technology startup company. Referring to Claim 2 of the claims, Receiving an evaluation value according to a technology evaluation index by item; (b) the information processing apparatus assigns AHP weights to the evaluation values according to the technology evaluation indexes to obtain weighted rating points, and determines a technology business level rating corresponding to the weighted rating points; (c) calculating a risk level score by assigning an odds ratio weight to each evaluation value according to the technology evaluation index, and determining a risk level rating corresponding to the risk level rating; And (d) a technology business evaluation corresponding to the technical business level determined in the step (b) and the risk level determined in the step (c) in a matrix combination composed of a technology business level class and a risk class level (C) categorizing evaluation grades in which the information processing apparatus has a low weight for each evaluation grade and in which an accident rate reversal may occur, and then evaluating the evaluation value of the technical evaluation index Assigning a new evaluation value according to a categorized evaluation rating to the evaluation value; And (c2) the information processing apparatus assigns a new odds ratio weight to each new evaluation value according to the technology evaluation index to determine a risk level rating. &Quot; have.

In other words, by summarizing the above-mentioned technologies, it can be concluded that each expert, who has the technical competence, operational capacity, superiority of technology, technical completeness, development capacity, market situation, market structure, And the rating of the technology business level, the risk level, and the evaluation level of the technology business is selected according to the internally determined grade based on the weight.

However, the above-described technique has the following problems.

First, since the method of selecting a rating is based on an internally determined rating, the objectivity is degraded and the reliability of the evaluation result deteriorates.

Second, there is ambiguity and ambiguity in the evaluation of experts by applying AHP. The feasibility analysis of the evaluation results when applying only the AHP technique and the Fuzzy-AHP technique based on the fuzzy theory has been conducted in this specification.

Patent Registration No. 10-0921618 (issued October 15, 2009)

The object of the present invention is to extract the weight of importance and priority for the evaluation factor through the Fuzzy-AHP, which is a multi-standard decision-making corporation, with the absorption capacity and technical entrepreneurship of the enterprise as factors for evaluation, In addition to evaluating the technological power of firms based on the absorption capacity, technological entrepreneurship, and dynamic capability, the introduction of fuzzy theory has been used to evaluate the cognitive ambiguity of evaluation results, And to provide a technology evaluation system for companies that can complement the system.

In order to solve the above-mentioned technical problems, the technology evaluation system of the company according to the present invention is characterized in that an evaluation index of an evaluation factor is derived and selected by an expert, an evaluation structure is created according to the relationship between the evaluation factors, A monitoring module that generates opinions of the experts based on the results; A preprocessing module for inputting a membership function of the number of trigonometric fuzzy numbers according to the expert opinion based on the evaluation structure, creating a pair comparison matrix for the absorptive capacity and technical entrepreneurship among the evaluation factors, and inputting a 9-point expert evaluation; A weight extraction module for calculating a weight for the absorptive capacity and technical entrepreneurship for importance and priority determination; An evaluation module that presents evaluation results provided in the form of a result table, a chart output, and a sensitivity analysis based on the extracted absorption capability and the weight of technical entrepreneurship; And a dynamic capacity calculation module that calculates a dynamic capacity through the weight of the extracted absorption capacity and the technical entrepreneurship.

At this time, the absorption capacity includes knowledge acquisition, knowledge assimilation, knowledge transformation and knowledge utilization, and technical entrepreneurship (a) technological innovation including understanding of customer needs, new approaches to technology and ideas creation in technology; (b) the advancement of technology, including preemption of technology, exploration of technology-related information, and securing the competitive advantage of technology; (c) technical risk sensitivity, including loss of technology development risk, development of future technology and pursuit of growth of the enterprise; And (d) competitive degradability, including commercialization capability, product production capability, and marketing capability.

According to the technology evaluation system of the company according to the present invention, the importance and priority weight of the evaluation factors are extracted and processed by the multi-standard decision making corporation Fuzzy-AHP to evaluate the technical capability of the company by applying the existing AHP And has the effect of complementing the cognitive ambiguity of the evaluation result compared with the evaluation result.

In addition, according to one experimental example of the present invention, it is possible to propose a more realistic alternative proposal by presenting the evaluation criteria for absorptive capacity, technical entrepreneurship, and dynamic competence that have not been considered in studies on existing technical force evaluation measurement Lt; / RTI >

FIG. 1 is a diagram showing a relation function M _ij = (i _ij , m _ij , u _ij ) belonging to a lower limit value, a center value and an upper limit value of a triangular fuzzy number in a technology evaluation system according to the present invention.
FIG. 2 is a block diagram of each configuration of a technology evaluation system of a company according to the present invention.
FIG. 3 shows the absorption capacity for a company's technology evaluation system according to the present invention.
FIG. 4 shows the technological entrepreneurship classified for the enterprise's technology evaluation system according to the present invention.
5 and 6 show the results of an experiment conducted through a technology evaluation system of a company according to the present invention.

The terms and words used in the present specification and claims should not be construed as limited to ordinary or dictionary meanings and the inventor can properly define the concept of the term to describe its invention in the best possible way And should be construed in accordance with the principles and meanings and concepts consistent with the technical idea of the present invention.

Therefore, the embodiments described in the present specification and the configurations shown in the drawings are merely the most preferred embodiments of the present invention and are not intended to represent all of the technical ideas of the present invention. Therefore, various equivalents And variations are possible.

Before describing the present invention with reference to the accompanying drawings, it should be noted that the present invention is not described or specifically described with respect to a known configuration that can be easily added by a person skilled in the art, Let the sound be revealed.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Before describing the present invention with reference to the attached drawings, the applied technology will be described first, and then the present invention will be described using the following technique.

AHP will be described.

The analytic hierarchy process (AHP) is a multi-criteria decision making model developed by Saaty, which is a systematic analysis of the decision-making process. This is a model for deriving a rational result by performing pairwise comparison and performing pairwise comparisons on the overall evaluation items and calculating relative importance to the evaluation items.

In particular, the AHP supports quantitative analysis of qualitative problems, supporting decision-making in a systematic manner, organizing complex and unclear problems into multiple tiers, and partial relationships by means of pairwise comparisons By evaluating the significance of the value of the product on a quantified scale, allowing decision makers to make more accurate decisions.

The AHP trigonometric fuzzy number required in the process of deriving the relative importance of the AHP according to the present invention can be referred to FIG. 1 of the accompanying drawings, which represents a membership function, which is a lower limit value, a center value, and an upper limit value of a crisscross value.

FIG. 1 is a diagram showing a relation function M _ij = (i _ij , m _ij , u _ij ) belonging to a lower limit value, a center value and an upper limit value of a triangular fuzzy number in a technology evaluation system according to the present invention.

In addition, it can be classified into 5-point scale and 9-point scale according to the numerical scale. In the case of 9-point scale, it can be defined as [Table 1].

Language Importance
(Linguistic values,
importance) Crisp AHP Value
(Crisp AHP values) Triangular fuzzy number
(Triangular fuzzy number)
(Triangualar fuzzy reciprocal number) Similar
(Equal importance) One (1, 1, 2) (1/2, 1, 1) middle
Moderate importance 3 (2, 3, 4) (1/4, 1/3, 1/4) Important
(Strong importance) 5 (4, 5, 6) (1/6, 1/5, 1/4) very important
(Very Strong importance) 7 (6, 7, 8) (1/8, 1/7, 1/6) Extremely important
(Extremely importance) 9 (8, 9, 9) (1/9, 1/9, 1/8)

To make a decision based on the evaluation values evaluated on the basis of [Table 1], a spreading average of [Equation 1] is integrated.

Here, a _ij is the center value of the triangular fuzzy number M _ij , which represents the degree to which the factor i is more important than the factor j, and the reason for using the geometric mean method is the only way to maintain the inverse of the matrix.

The triangular fuzzy number integrated based on the above Equation (1) is converted into a fuzzy synthesis expansion value. At this time, the method of calculating the fuzzy synthetic degree value (S _i ) using the fuzzy extent principle is referred to the following formula (2).

Here, i, i = 1, 2 ... n (i, j > 1 / i, j is a natural number)

At this time, the degree of possibility (V) by the fuzzy expansion principle based on Equation (2) is calculated. That is, the triangular fuzzy number _{M 1 = (l 1, m} 1, u 1) and _{M 2 = (l 2, m} 2, u 2) with respect to M ₁ ≥M ₂ potential level (V) with a triangular fuzzy when the The probability (Degree od possibili- ty, d ') that the number M is larger than the other n number of fuzzy numbers M _i (i = 1, 2 ... n) is calculated by Equation (3).

The final weight W must be computed through normalization so that the sum of the weights represented by the weight vector W 'is 1, and the final weight W is computed by Equation (3) Can be referenced.

The normalized W through Equation (4) above is used as a final weight vector of each factor to estimate the importance and priority of the factors to be evaluated.

Example  1. Company's technology evaluation system

The system for evaluating the technological power of the company according to the present invention applying the above-mentioned technology is characterized in that it adopts Fuzzy-AHP, which is a multi-standard decision making corporation, as a qualitative evaluation factor of absorption capacity and technical entrepreneurship, And dynamic competence, which will complement the ambiguity of cognitive judgment based on the evaluation of technological competitiveness in the past, and to present evaluation criteria for absorptive capacity, technical entrepreneurship and dynamic competence.

This invention can be referred to Figures 2 to 4 of the accompanying drawings.

FIG. 2 is a block diagram of each component of the technical evaluation system of the company according to the present invention, FIG. 3 is a diagram illustrating the absorption capacity for the technical evaluation system of the company according to the present invention, and FIG. It shows the technological entrepreneurial spirit divided for the technology evaluation system of enterprise.

3, the absorptive capacity means an effective organizational learning infrastructure for rapidly applying new knowledge because it has to pursue flexibility to continuously improve its competitiveness in an uncertain environment, Research and realization, and development and activity competence. The detailed factors consist of knowledge acquisition, knowledge assimilation, knowledge transformation, and knowledge utilization.

Also, referring to FIG. 4 of the accompanying drawings, technical entrepreneurship means the ability to recognize market opportunities of applied technologies leading to technological innovation and new product development, It is differentiated from the ability to recognize or develop utilization, or to communicate methods related to it. Constituent factors consist of technological innovation, technological initiative, technical risk sensitivity, and competitive failure.

Technological innovativeness consists of grasping customer needs for technological innovation, creating a new approach, and creating an idea generation.

Technological proactivenes are decision-making activities that run without knowledge of the predictions of technology change and possible outcomes. Technology preemption, Related information search of technology related information, Gaining competitive advantage ).

Technological risk-taking is defined as the ability to detect and capture opportunities in the prediction of future demand for technology, the ability to take advantage of technology development loss management, the development of future technologies, And the pursuit of growth of the corporation.

Competitive Impairment refers to the tendency of a company to challenge competitors directly and intensively in order to enter a new market, so it can be defined as a technology commercialization capability.

(a) Producing ability is the ability to commercialize technology and bring it to target market quickly and efficiently.

(b) Production ability refers to the process of designing a technology-based product, including product preparation for entry into the industry, and the continuous process of commencement of production and shipment of the market.

(c) Marketing ability includes market research ability that understands consumer behavior and satisfies customers' needs of target market against competitors.

Finally, dynamic capability is the ability to quickly analyze problems in an uncertain environment and obtain the necessary knowledge from the outside, and to have a close relationship with the high performance of the company's world-class capabilities and activities The components are as follows.

(a) Convergence capabilities are the ability to create externally derived knowledge as a resource for the company's processes.

(b) Transformation capabilities are the ability to translate new knowledge by integrating and utilizing external knowledge.

(c) Develop capabilities are the ability to reorganize to create leverage effects based on existing capabilities and external knowledge.

Hereinafter, the present invention will be described with reference to FIG. 2 of the accompanying drawings.

The present invention according to Fig. 2 includes a monitoring module, a preprocessing module, a weight extraction module, an evaluation module and a dynamic capacity calculation module.

The monitoring module sets the Goal of the technical evaluation through Brain storming of the expert group, and then derives and selects the evaluation index of the evaluation factor and builds the evaluation structure considering the relation between evaluation factors. And determines the expression language scale according to the judgment of the importance of the expert. In other words, it is to create opinion (evaluation) of experts based on evaluation structure.

The preprocessing module is a preprocessing task for calculating the fuzzy weights of the evaluation factors. The preprocessing module inputs the membership functions of the trigonometric fuzzy numbers based on the evaluation results of [Table 1] After constructing a pairwise comparison matrix by structuring each factor as a problem, the expert evaluation of 9 points scale is inputted.

At this time, the twin comparison matrix is described in a number of techniques filed by the applicant of the present invention, so that a detailed description thereof may be omitted (for example, Patent Registration No. 10-1482219 (Food coupon recommendation system and method)).

The weight extraction module calculates the weight for determining the importance of the absorption capability and the evaluation factors of the technical entrepreneurship and the priorities.

In other words, since the input value of the above-mentioned pair comparison matrix arises from the subjective judgment of the evaluator, the linguistic ambiguous expression must be included. Therefore, the linguistic expression based on [Table 1] ₁ > (a ₁ , a ₂ , a ₃ ). Then, in order to convert the triplet fuzzy number into the non-fuzzy value, Integrated input.

Then, in the importance calculation process, the input value of the pair of comparison matrices is applied to Equation (2) to obtain a composite fuzzy value ( _Si ) as a fuzzy synthesis value, and the probability degree of the triangular fuzzy number according to Equation (3) V) is calculated, and the final weight W is calculated by normalizing the weight vector W 'in accordance with the equation (4).

The evaluation module provides the evaluation results so that users can utilize the importance of importance and priority weight of evaluation factors of technical entrepreneurship and absorption capacity extracted through the weight extraction module.

At this time, the evaluation results are provided in the form of a result table, a chart output, and a sensitivity analysis.

(a) The result table is provided in matrix form with the weights of the evaluation factors, so that the importance of each evaluation factor can be seen at a glance, and it can be used in future selection and strategy analysis.

(b) The chart output can visualize the priorities of the factors by visually showing the final ranking of the evaluation factors in various types of graphs.

(c) Sensitivity analysis is the analysis of the results that vary according to various input variables. The sensitivity analysis is to analyze the change of the weights while changing the evaluation criteria.

The dynamic capacity calculation module integrates the calculated absorption capacity and the weight of technical entrepreneurship to calculate the dynamic capacity through the following equation (5).

The weight (d ') for the dynamic competence calculated through the above equation (5) can be obtained from the following equation (6): absorption capability a _i and technical entrepreneurship t c _ij The sub-factor weights of acquisition, knowledge assimilation, knowledge transformation, knowledge utilization / technological entrepreneurship = technological innovation, technological initiative, technical risk sensitivity,

The upper factors of the absorption capacity (a _i ) and the dynamic capacity (d _i ) for the technical entrepreneurship (t c _ij ) are integrally defined as shown in Equation (7) It is used as a Composite Indicator (CI) of innovation.

Experimental Example  1. Measuring Technology Evaluation

(1-1) Experimental method

Through the above-mentioned structure, technical performance evaluation measurement was conducted for a specific company.

The evaluation characteristics include (a) the evaluation questionnaire and the evaluation factors are calculated by participating in the evaluation questionnaire such as technical experts and valuation experts, Use the results of the final 24 questionnaires.

The method of evaluation was based on the comparison of the importance and priority of the evaluation factors including the AHP technique, which is the existing technology evaluation method, and the above-described embodiment 1, and examined the feasibility for the absorption capacity and the technical entrepreneurship.

(1-2) Experimental results

Table 2 and Table 3 show the results of the importance and priority calculation based on the AHP technique for the evaluation factors of absorption capacity and technical entrepreneurship.

factor importance Priority Knowledge acquisition 0.215 4 Knowledge assimilation 0.240 3 Knowledge transformation 0.293 One Knowledge utilization 0.252 2

Upper factor importance Sub-factor importance Priority


Innovation of Technology




0.356

Customer's
Grasp your needs 0.078 4 A New Approach to Technology 0.190 2 Creating ideas for technology 0.173 3


Technological progress


0.111

Technology
Preemption 0.059 6 Explore technical information 0.012 12 Gaining Competitive Advantage of Technology 0.022 11

Technically
Risk Sensitivity


0.121

Technology development
Loss risk 0.030 10 Future technology
Development 0.053 8 Corporate
Pursuing Growth 0.065 5


Competitive Impairment


0.412

Productization
ability 0.220 One Product production
ability 0.041 9 Marketing
ability 0.057 7

As shown in [Table 2], in the importance of the absorption capacity evaluation factor, knowledge variance was the highest at 0.293, and as shown in [Table 3], in the top factor of technical entrepreneurship, Competence) was the highest at 0.412, and the productivity of the sub - factors was the highest at 0.220.

Next, referring to [Table 4], [Table 5] and [Table 6] below, the importance and the priority calculation for the evaluation factors including the embodiment 1 can be referred to.

factor importance Priority Knowledge acquisition 0.60 One Knowledge assimilation 0.20 3 Knowledge transformation 0.07 4 Knowledge utilization 0.14 2

factor importance Priority Technical innovation 0.32 One Technological progress 0.25 3 Technical Risk Sensitivity 0.05 4 Competitive Impairment 0.37 2

Integrated Importance factor importance
0.297
Convergence capability 0.516 Conversion capability 0.228 Pioneering capability 0.256

The results of the above [Table 4] to [Table 6] are priorities based on Fuzzy-AHP. Therefore, in order to examine the validity of the above results, we compare the importance and priority of the AHP technique and the importance and priority of the Fuzzy-AHP technique through FIGS. 5 and 6 of the attached drawings.

5 and 6 show the results of an experiment conducted through a technology evaluation system of a company according to the present invention.

First, referring to FIG. 5 of the accompanying drawings, the comparison result of the priority difference according to the factors for evaluating the absorption capacity of the AHP technique and the Fuzzy-AHP technique can be referred to.

In FIG. 5 of the accompanying drawings, the factors of 'acquisition of knowledge' and 'transformation of knowledge' are rank difference 3, but the factors of 'knowledge assimilation' and 'knowledge utilization' are not significantly different.

In addition, it can be seen that in order to innovate the company according to the result of the Fuzzy-AHP technique, it is necessary to change from the existing knowledge modification to the knowledge acquisition to acquire a competitive advantage.

A comparison of the importance and priorities of the AHP technique and the Fuzzy-AHP technique with respect to the evaluation factors of technical entrepreneurship can be found in FIG. 6 of the accompanying drawings.

In FIG. 6 of the accompanying drawings, it can be seen that the priorities of the AHP technique and the Fuzzy-AHP technique are significantly different before the technology is commercialized.

In addition, according to the result of Fuzzy-AHP technique considering ambiguity in evaluation, it was found that the most important factor to be considered in order to secure technological innovation and competitiveness of a company is 'commercialization ability'.

As can be seen from the above examples, according to the technique evaluation technique of the enterprise applying the Fuzzy-AHP technique, the weight calculation for the factor that is the evaluation scale complements the ambiguity of the cognitive judgment by introducing the fuzzy theory, It is expected that a more realistic alternative proposal will be made possible by presenting evaluation criteria for absorptive capacity, technological entrepreneurship, and dynamic competence that are not taken into account in studies on technology evaluation measurement.

In addition, it can be seen that the Fuzzy-AHP method can be more versatile than the AHP method.

This is possible because the present invention is based on the fuzzy weighting considering realistic factors based on the results of experts' recommendation, and it is expected to be highly utilized because it takes into account both the knowledge learning and R & D evaluation factors of the enterprise or organization members. In addition, it is expected that it will be an index of evaluation of technology through effective decision-making because the environment for technology evaluation can be reflected continuously and variously changing characteristics.

1 to 6 have described only the main points of the present invention. As far as various designs can be made within the technical scope thereof, the present invention is not limited to the configurations of Figs. 1 to 6 It is self-evident.

Claims (8)

A monitoring module for deriving and selecting an evaluation index of an evaluation factor by an expert, creating an evaluation structure according to a relationship between the evaluation factors, and creating an expert opinion based on the evaluation structure;
A preprocessing module for inputting a membership function of the number of trigonometric fuzzy numbers according to the expert opinion based on the evaluation structure, creating a pair comparison matrix for the absorptive capacity and technical entrepreneurship among the evaluation factors, and inputting a 9-point expert evaluation;
A weight extraction module for calculating a weight for the absorptive capacity and technical entrepreneurship for importance and priority determination;
An evaluation module that presents evaluation results provided in the form of a result table, a chart output, and a sensitivity analysis based on the extracted absorption capability and the weight of technical entrepreneurship; And
And a dynamic capacity calculation module for calculating the dynamic capacity through the weight of the extracted absorption capacity and the technical entrepreneurship.
The method according to claim 1,
The weight extraction module includes:
Wherein the inputted expert evaluation is integrated by spreading and averaging using the following equation to convert the number of triangular fuzzy numbers according to the result of the pair comparison matrix into a non-fuzzy value.

(Where a _ij is the center value of the triangular fuzzy number M _ij , which indicates the degree to which factor i is more important than factor j).
The method of claim 2,
The weight extraction module includes:
And a complex fuzzy value S _i is calculated based on the result of the pair comparison matrix.

Here, i, i = 1, 2 ... n (i, j > 1 / i, j is a natural number)
The method of claim 3,
The weight extraction module includes:
(V) for the number of triangular fuzzy numbers is calculated by the following equation,

And calculating a final weighting value (W) through a weighting vector (W ') and normalization according to the following mathematical expression.

The method according to claim 1,
Wherein the dynamic capacity calculation module comprises:
Based on multiplying the weight of the extracted absorption capacity by the weight of the technical entrepreneurship, we calculate the dynamic capacity and integrate the sub-factor weights of absorption capacity (a _i ) and technical entrepreneurship (tc _ij ) through the following equation The evaluation of the technical capability of the enterprise.

The method according to claim 1,
Wherein the operation capability calculation module comprises:
Based on multiplying the weight of the extracted absorption capacity by the weight of technical entrepreneurship, we calculate the dynamic capacity, and integrate the upper factor weights of absorption capacity (a _i ) and technical entrepreneurship (tc _ij ) through the following equation The evaluation of the technical capability of the enterprise.

The method according to claim 1,
Wherein the absorption capability includes knowledge acquisition, knowledge assimilation, knowledge transformation, and knowledge utilization.
The method according to claim 1,
The technical entrepreneurial spirit,
(a) technical innovations, including identification of customer needs, new approaches to technology and ideas creation;
(b) the advancement of technology, including preemption of technology, exploration of technology-related information, and securing the competitive advantage of technology;
(c) technical risk sensitivity, including loss of technology development risk, development of future technology and pursuit of growth of the enterprise; And
(d) Competitive Impairment including productability, product production capability, and marketing capability.

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