CN109118115A - A kind of Evaluating Method of Hi-Tech Enterprise - Google Patents
A kind of Evaluating Method of Hi-Tech Enterprise Download PDFInfo
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Abstract
The invention discloses a kind of Evaluating Method of Hi-Tech Enterprise, comprising the following steps: S1. sets first class index parameter, two-level index parameter, three-level index parameter, level Four index parameter and random index parameter；S2. weight is assigned respectively to the first class index parameter, two-level index parameter, three-level index parameter and level Four index parameter using analytic hierarchy process (AHP)；S3. final scoring is calculated according to the index with weight.The present invention constructs a series of various dimensions, reflects the index system of new high-tech enterprise's feature from each angle, it is divided into two parts, first is evaluated for comprehensive index system, mainly the comprehensive calculating comprehensive score in terms of research and development contribution degree, resource capability level and growing quality three；Second, to sort out indication system judgment, after classifying to enterprise by technical field difference, calculates separately scoring in terms of scope of the enterprise, development guiding and business growth speed three.
Description
Technical field
The present invention relates to data analysis fields, more particularly, to a kind of Evaluating Method of Hi-Tech Enterprise.
Background technique
Currently, Science and technology is the primary productive force, with opening for China's Industry upgrading and " masses innovating, and millions of people are started an undertaking "
Exhibition, various regions government increasingly pay attention to attraction, encouragement and help new high-tech enterprise, and this requires must must have a kind of comprehensive, conjunction
Reason, fair, architectonical high enterprise's evaluation model.
Existing, general valuation of enterprise method, such as traditional Assets Analyst, commercial analysis and cash flow analysis, and do not have
Fully take into account that new high-tech enterprise's intellect-intensive, the talent is intensive, Innovation Input is big, prospect is difficult to expect, high risk, science and technology
The features such as achievements conversion period length etc.；In addition, appraisement system is single, unilateral.It is aobvious and easy such as to only considered intellectual property quantity
That sees has been fruitful, and but ignores research and development management ability and such as motivates incentive system, these surfaces of personnel training invisible, right
The significant content of enterprise's future long term growth.
Summary of the invention
The present invention is to overcome defect described in the above-mentioned prior art, the characteristics of for new high-tech enterprise, is proposed a kind of complete
Face, system, reasonable Evaluating Method of Hi-Tech Enterprise.
In order to solve the above technical problems, technical scheme is as follows:
A kind of Evaluating Method of Hi-Tech Enterprise, which comprises the following steps:
S1. set first class index parameter, two-level index parameter, three-level index parameter, level Four index parameter with it is random consistent
Property index parameter；
S2. the first class index parameter, two-level index parameter, three-level index parameter and level Four are referred to using analytic hierarchy process (AHP)
Mark parameter assigns weight respectively；
S3. final scoring is calculated according to the index with weight.
Further, the first class index parameter includes: research and development contribution degree A1, the horizontal A2 of resource capability and growing quality
A3；
The research and development contribution degree A1 includes following two-level index parameter: Economic Contribution B1 and technical contribution B2；
The horizontal A2 of resource capability includes following two-level index parameter: development resources condition B3 and research and development management ability
B4；
The growing quality A3 includes following two-level index parameter: managing and increases B5, assets balance B6 and tribute per capita
Offer rate B7.
Further, the step S2 specifically includes the following steps:
S201. development of judgment matrix is carried out to first class index parameter；
S202. calculating is normalized in each column of the matrix,
S203. to the matrix for pressing row normalization, sum by row, obtain
S204. by vectorNormalization, i.e.,
S205. calculating matrix maximum eigenvalue, i.e.,
S206. coincident indicator is calculated:
Judge whether CI is less than or equal to 0, if it is, judgment matrix A is with uniformity, Wi(i=1,2,3) is Ai(i
=1,2,3) weight, enters step S108；Otherwise S107 is entered step；
S207. consistency ratio is calculated:Judge whether CR < 0.1 is true, if it is, matrix A has unanimously
Property, wi(i=1,2,3) is AiThe weight of (i=1,2,3), enters step S208；Otherwise S201 is entered step；
S208. two-level index parameter and three-level index parameter are substituted into respectively in step S201 and constructs matrix and carries out step
The calculating of S202-S207 obtains the weight of two-level index parameter and three-level index parameter, sub-category importing bottom index parameter；
S209. level Four index weights are calculated using VC Method, carry out the calculating of following formula first:
Wherein, ViIt is the coefficient of variation of i-th index, is also referred to as coefficient of standard deviation；σiIt is the standard deviation of i-th index；
It is the average of i-th index；It is calculated further according to following formula:
Obtain level Four index weights.
Further, the step S3 specifically includes the following steps:
S301. bottom achievement data is standardized；
S302. high enterprise's scoring is carried out to the every field of enterprise.
Further, the step S301 specifically includes the following steps:
Dimensionless processing is carried out to primary data, standardized method is taken for numeric type data, i.e.,
Wherein,xijIndicate enterprise i (i=1,2 ..., n) on index j (j=1,2 ..., 37)
Numerical value,Indicate average value of each enterprise on index j, sjIndicate standard deviation of each enterprise on index j.
Further, the step S302 specifically includes the following steps:
Each technical field Xia Ge new high-tech enterprise assessment indicator system formula can be obtained in bottom index weights table are as follows:
Compared with prior art, the beneficial effect of technical solution of the present invention is:
The present invention constructs a series of various dimensions, from the index system of each angle reflection new high-tech enterprise's feature, is divided into
Two parts, first is evaluated for comprehensive index system, mainly from research and development contribution degree, resource capability level and growing quality tripartite
The comprehensive calculating comprehensive score in face；Second, to sort out indication system judgment, is being classified to enterprise by technical field difference
Afterwards, scoring is calculated separately in terms of scope of the enterprise, development guiding and business growth speed three；
The shortcomings that the present invention overcomes existing Evaluating Method of Hi-Tech Enterprise had both fully considered new high-tech enterprise's intelligence
The features such as power is intensive, development prospect is uncertain big, but from various dimensions, hierarchical, in all directions to new high-tech enterprise carry out
Scoring.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is Evaluating Method of Hi-Tech Enterprise flow diagram.
Fig. 2 is index parameters relationship schematic diagram.
Fig. 3 is the matrix building schematic diagram of two-level index parameter and three-level index parameter.
Fig. 4 is level Four index parameter bottom index computation interval schematic diagram.
Specific embodiment
The attached figures are only used for illustrative purposes and cannot be understood as limitating the patent；
To those skilled in the art, it is to be understood that certain known features and its explanation, which may be omitted, in attached drawing
's.
The following further describes the technical solution of the present invention with reference to the accompanying drawings and examples.
Embodiment 1
A kind of Evaluating Method of Hi-Tech Enterprise, process are as shown in Figure 1, comprising the following steps:
S1. set first class index parameter, two-level index parameter, three-level index parameter, level Four index parameter with it is random consistent
Property index parameter；
S2. first class index parameter, two-level index parameter, three-level index parameter and level Four index are joined using analytic hierarchy process (AHP)
Number assigns weight respectively；
S3. final scoring is calculated according to the index with weight.
In the present embodiment, first class index parameter includes: research and development contribution degree A1, the horizontal A2 of resource capability and growing quality
A3；
Researching and developing contribution degree A1 includes following two-level index parameter: Economic Contribution B1 and technical contribution B2；
The horizontal A2 of resource capability includes following two-level index parameter: development resources condition B3 and research and development management ability B4；
Growing quality A3 includes following two-level index parameter: managing and increases B5, assets balance B6 and per capita contribution rate
B7；
More specifically, as shown in the index parameter relation schematic diagram of Fig. 2, three-level that the two-level index parameter specifically includes
Index parameter and level Four index parameter；
As shown in the table, random index parameter is RI, and specific value is as follows:
。
In the present embodiment, step S2 specifically includes the following steps:
S201. development of judgment matrix is carried out to first class index parameter；
It is calculated specifically, carrying out internal (backstage) first, specific calculating content is as shown in the table:
Then the judgment matrix of first class index parameter is constructed by following table:
| Destination layer | A1 | A2 | A3 |
| A1 | a11 | a12 | a13 |
| A2 | a21 | a22 | a23 |
| A3 | a31 | a32 | a33 |
Wherein, aij=1 (i=j), aij=1/aji；
S202. calculating is normalized in each column of matrix,
S203. to the matrix for pressing row normalization, sum by row, obtain
S204. by vectorNormalization, i.e.,
S205. calculating matrix maximum eigenvalue, i.e.,
S206. coincident indicator is calculated:
Judge whether CI is less than or equal to 0, if it is, judgment matrix A is with uniformity, wi(i=1,2,3) is Ai(i
=1,2,3) weight, enters step S108；Otherwise S107 is entered step；
S207. consistency ratio is calculated:Judge whether CR < 0.1 is true, if it is, matrix A has unanimously
Property, wi(i=1,2,3) is AiThe weight of (i=1,2,3), enters step S208；Otherwise S201 is entered step；
S208. two-level index parameter and three-level index parameter are substituted into respectively in step S201 and constructs matrix and carries out step
The calculating of S202-S207 obtains the weight of two-level index parameter and three-level index parameter, sub-category importing bottom index parameter；
More specifically, the building of the matrix of two-level index parameter and three-level index parameter is as shown in Figure 3.
S209. level Four index weights are calculated using VC Method, carry out the calculating of following formula first:
Wherein, ViIt is the coefficient of variation of i-th index, is also referred to as coefficient of standard deviation；σiIt is the standard deviation of i-th index；
It is the average of i-th index；It is calculated further according to following formula:
Obtain level Four index weights；
More specifically, each bottom index computation interval is as shown in Figure 4.
In the present embodiment, step S3 specifically includes the following steps:
S301. bottom achievement data is standardized；
S302. high enterprise's scoring is carried out to the every field of enterprise.
In the present embodiment, step S301 specifically includes the following steps:
Dimensionless processing is carried out to primary data, standardized method is taken for numeric type data, i.e.,
Wherein,xijIndicate enterprise i (i=1,2 ..., n) on index j (j=1,2 ..., 37)
Numerical value,Indicate average value of each enterprise on index j, sjIndicate standard deviation of each enterprise on index j.
In the present embodiment, step S302 specifically includes the following steps:
Each technical field Xia Ge new high-tech enterprise assessment indicator system formula can be obtained in bottom index weights table are as follows:
Obviously, the above embodiment of the present invention be only to clearly illustrate example of the present invention, and not be pair
The restriction of embodiments of the present invention.For those of ordinary skill in the art, may be used also on the basis of the above description
To make other variations or changes in different ways.There is no necessity and possibility to exhaust all the enbodiments.It is all this
Made any modifications, equivalent replacements, and improvements etc., should be included in the claims in the present invention within the spirit and principle of invention
Protection scope within.
Claims (6)
1. a kind of Evaluating Method of Hi-Tech Enterprise, which comprises the following steps:
S1. first class index parameter, two-level index parameter, three-level index parameter, level Four index parameter and random consistency is set to refer to
Mark parameter；
S2. the first class index parameter, two-level index parameter, three-level index parameter and level Four index are joined using analytic hierarchy process (AHP)
Number assigns weight respectively；
S3. final scoring is calculated according to the index with weight.
2. Evaluating Method of Hi-Tech Enterprise according to claim 1, which is characterized in that the first class index parameter packet
It includes: research and development contribution degree A1, resource capability horizontal A2 and growing quality A3；
The research and development contribution degree A1 includes following two-level index parameter: Economic Contribution B1 and technical contribution B2；
The horizontal A2 of resource capability includes following two-level index parameter: development resources condition B3 and research and development management ability B4；
The growing quality A3 includes following two-level index parameter: managing and increases B5, assets balance B6 and per capita contribution rate
B7。
3. Evaluating Method of Hi-Tech Enterprise according to claim 2, which is characterized in that the step S2 specifically include with
Lower step:
S201. development of judgment matrix is carried out to first class index parameter；
S202. calculating is normalized in each column of the matrix,
S203. to the matrix for pressing row normalization, sum by row, obtain
S204. by vectorNormalization, i.e.,
S205. calculating matrix maximum eigenvalue, i.e.,
S206. coincident indicator is calculated:
Judge whether CI is less than or equal to 0, if it is, judgment matrix A is with uniformity, wi(i=1,2,3) is Ai(i=1,
2,3) weight, enters step S108；Otherwise S107 is entered step；
S207. consistency ratio is calculated:Whether true judge CR < 0.1, if it is, matrix A is with uniformity, wi
(i=1,2,3) is AiThe weight of (i=1,2,3), enters step S208；Otherwise S201 is entered step；
S208. two-level index parameter and three-level index parameter are substituted into respectively in step S201 and constructs matrix and carries out step
The calculating of S202-S207 obtains the weight of two-level index parameter and three-level index parameter, sub-category importing bottom index parameter；
S209. level Four index weights are calculated using VC Method, carry out the calculating of following formula first:
Wherein, ViIt is the coefficient of variation of i-th index, is also referred to as coefficient of standard deviation；σiIt is the standard deviation of i-th index；It is i-th
The average of item index；It is calculated further according to following formula:
Obtain level Four index weights.
4. Evaluating Method of Hi-Tech Enterprise according to claim 1, which is characterized in that the step S3 specifically include with
Lower step:
S301. bottom achievement data is standardized；
S302. high enterprise's scoring is carried out to the every field of enterprise.
5. Evaluating Method of Hi-Tech Enterprise according to claim 4, which is characterized in that the step S301 is specifically included
Following steps:
Dimensionless processing is carried out to primary data, standardized method is taken for numeric type data, i.e.,
Wherein,xijIndicate the number of enterprise i (i=1,2 ..., n) on index j (j=1,2 ..., 37)
Value,Indicate average value of each enterprise on index j, sjIndicate standard deviation of each enterprise on index j.
6. Evaluating Method of Hi-Tech Enterprise according to claim 4, which is characterized in that the step S302 is specifically included
Following steps:
Each technical field Xia Ge new high-tech enterprise assessment indicator system formula can be obtained in bottom index weights table are as follows:
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111861262A (en) * | 2020-07-30 | 2020-10-30 | 国网山东省电力公司寿光市供电公司 | Enterprise perspective portrait method and terminal based on energy big data |
| CN112330188A (en) * | 2020-11-19 | 2021-02-05 | 安徽百诚慧通科技有限公司 | Enterprise vehicle management method and system |
| CN112766788A (en) * | 2021-01-29 | 2021-05-07 | 北京明略软件系统有限公司 | High-tech enterprise evaluation method, system, computer equipment and storage medium |
| CN113537758A (en) * | 2021-07-13 | 2021-10-22 | 机械工业第六设计研究院有限公司 | Manufacturing industry high-quality development comprehensive evaluation method and system based on big data technology |
| CN113592313A (en) * | 2021-08-03 | 2021-11-02 | 南京大学 | Comprehensive evaluation method for enterprises in chemical industry park |
| CN115828735A (en) * | 2022-11-07 | 2023-03-21 | 江苏风云科技服务有限公司 | High-growth enterprise evaluation method and system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101540018A (en) * | 2009-01-23 | 2009-09-23 | 浙江师范大学 | Method and system for evaluating degree of application of enterprise information technology |
| CN103839176A (en) * | 2014-02-26 | 2014-06-04 | 华北电力大学 | New energy enterprise value assessment model based on analytic hierarchy process |
| CN105354688A (en) * | 2015-12-15 | 2016-02-24 | 上海电机学院 | Selection model for enterprise informatization cooperation partner and implementation method thereof |
| CN106339795A (en) * | 2016-08-16 | 2017-01-18 | 中国联合网络通信有限公司吉林省分公司 | Operation index comprehensive evaluation method |
| KR20180010679A (en) * | 2016-07-22 | 2018-01-31 | 공주대학교 산학협력단 | System for evaluating technology of company |
-
2018
- 2018-08-31 CN CN201811014645.5A patent/CN109118115A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101540018A (en) * | 2009-01-23 | 2009-09-23 | 浙江师范大学 | Method and system for evaluating degree of application of enterprise information technology |
| CN103839176A (en) * | 2014-02-26 | 2014-06-04 | 华北电力大学 | New energy enterprise value assessment model based on analytic hierarchy process |
| CN105354688A (en) * | 2015-12-15 | 2016-02-24 | 上海电机学院 | Selection model for enterprise informatization cooperation partner and implementation method thereof |
| KR20180010679A (en) * | 2016-07-22 | 2018-01-31 | 공주대학교 산학협력단 | System for evaluating technology of company |
| CN106339795A (en) * | 2016-08-16 | 2017-01-18 | 中国联合网络通信有限公司吉林省分公司 | Operation index comprehensive evaluation method |
Non-Patent Citations (2)
| Title |
|---|
| 程巍伟: "中小高新技术企业人力资源危机管理预警系统研究", 《中国优秀硕士学位论文全文数据库经济与管理科学辑》 * |
| 郭劲松: "新型高新技术企业绩效评价研究", 《中国优秀硕士学位论文全文数据库经济与管理科学辑》 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111861262A (en) * | 2020-07-30 | 2020-10-30 | 国网山东省电力公司寿光市供电公司 | Enterprise perspective portrait method and terminal based on energy big data |
| CN112330188A (en) * | 2020-11-19 | 2021-02-05 | 安徽百诚慧通科技有限公司 | Enterprise vehicle management method and system |
| CN112766788A (en) * | 2021-01-29 | 2021-05-07 | 北京明略软件系统有限公司 | High-tech enterprise evaluation method, system, computer equipment and storage medium |
| CN113537758A (en) * | 2021-07-13 | 2021-10-22 | 机械工业第六设计研究院有限公司 | Manufacturing industry high-quality development comprehensive evaluation method and system based on big data technology |
| CN113592313A (en) * | 2021-08-03 | 2021-11-02 | 南京大学 | Comprehensive evaluation method for enterprises in chemical industry park |
| CN115828735A (en) * | 2022-11-07 | 2023-03-21 | 江苏风云科技服务有限公司 | High-growth enterprise evaluation method and system |
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