CN112435050A - Associated enterprise acquisition method, electronic equipment, computer storage medium and terminal - Google Patents
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Abstract
The invention discloses an acquisition method of an associated enterprise, electronic equipment, a computer storage medium and a terminal. The method includes S1, and the data preparing step includes: respectively forming a corresponding relation set of the enterprise serving as the fifth, the second, the third and the fourth preposed data and a competitor enterprise, a corresponding relation set of the product and a production enterprise, a corresponding relation set of the product and a complementary product and a corresponding relation set of the product and a substitute product; s2, acquiring the competitive product enterprises of the target enterprise, including: respectively obtaining a competitor enterprise set, a complementary product production enterprise set, a substitute product set and a substitute product production enterprise set according to the fifth correspondence, the third correspondence, the second correspondence, the fourth correspondence and the second correspondence; and combining the competitor enterprise set, the complementary product production enterprise set and the alternative product production enterprise set to obtain the competitive product enterprise set. The method can recommend the competitive product enterprises for the government when enterprise recruiters or industrial environments are created.
Description
Technical Field
The invention relates to the technical field of computer information processing, in particular to an acquisition method of an associated enterprise, electronic equipment, a computer storage medium and a terminal.
Background
Strategic co-purchasing is based on the core competitive advantages of the main and the enterprise and is based on development strategy, namely co-purchasing is regarded as an organic component of the enterprise for realizing the strategy. The goal is not generally to achieve speculative revenue, but rather to obtain or enhance the core capabilities of the enterprise through co-procurement. The strategic mergers can be divided into: an industry integration type, an industry expansion type and a new industry construction type. The co-purchasing objects are mainly customers, suppliers, competitors, complementary product and substitute manufacturers of the co-purchasing company, and the co-purchasing objects are purchased by mixing and purchasing transversely, longitudinally and obliquely. The horizontal co-purchasing is that a company co-purchases a competitor locally or in different places, improves and improves a certain operation link in the process or realizes advantage complementation or realizes scale economy, and the vertical co-purchasing is the co-purchasing facing suppliers and customers, so that the direct profit space of the company is enlarged; the oblique mixing and purchasing is a company which has no direct relation or has a substitution and complementary relation with the industry by utilizing the existing marketing channel expansion. Strategic mergers between unrelated companies often leave the enterprise in a confused state that traps the company.
Strategic masters porter the factors that affect industry competition into five competing forces, namely entry threat, substitution threat, buyer price-canying capability, supplier price-canying capability, competition between existing competitors. He believes that these five forces together determine the strength of the industry competition and the profitability of the industry. The Baud theory provides a paradigm for researching industrial environment for us, and has great guiding significance for various practices in the business industry and the academic world.
It is thus concluded that governments need to strive for clusters in the business establishment and creation of industrial environments, and that there are a need for multiple enterprises to produce complements and substitutes in addition to multiple enterprises that compete to produce the same product.
However, there is no method available in the market to recommend competitors of the relevant enterprises, alternative product manufacturers and complementary product manufacturers for the government at the time of enterprise recruitment or creation of industrial environment, and it is difficult to meet the use requirements of people.
Disclosure of Invention
In order to overcome the disadvantages of the prior art, an object of the present invention is to provide an acquisition method for related enterprises, which may be capable of recommending competitors, alternative product manufacturers, and complementary product manufacturers of the related enterprises to governments at the time of enterprise recruitment or at the time of creating an industrial environment, a second object of the present invention is to provide an electronic device corresponding to the acquisition method one to one, a third object of the present invention is to provide an acquisition program for a related enterprise, which is stored in a computer-readable storage medium that implements the acquisition method when the acquisition program for the related enterprise is executed by a processor, and a fourth object of the present invention is to provide a terminal that implements the acquisition method when the processor executes the acquisition program for the related enterprise.
In order to achieve the first object, the invention adopts the following technical scheme:
an acquisition method of a related enterprise comprises the following steps:
s1, the data preparation step specifically includes the following steps:
s11, traversing enterprises in the industry, and determining competitor enterprises of each enterprise to form a corresponding relation set of the enterprises and the competitor enterprises; the corresponding relation set of the enterprise and the competitor enterprise is used as fifth prepositive data;
s12, traversing the products in the industry, and determining the production enterprises of each product to form a corresponding relation set of the products and the production enterprises; the corresponding relation set of the product and the production enterprise is used as second preposed data;
s13, traversing the products in the industry, and determining the complementary products of each product to form a corresponding relation set of the products and the complementary products; the corresponding relation set of the product and the complementary product is used as third preposed data;
s14, traversing the products in the industry, and determining the substitute products of each product to form a corresponding relation set of the products and the substitute products; the corresponding relation set of the product and the substitute product is used as fourth prepositive data;
s2, acquiring the competitive product enterprises of the target enterprise, which comprises the following steps:
s21, obtaining a competitor enterprise set of the target enterprise according to the fifth preposed data;
s22, traversing each product of the target enterprise, and obtaining a complementary product set of the target enterprise according to the third preposed data;
s23, traversing the complementary product set of the target enterprise, and obtaining a complementary product production enterprise set of the target enterprise according to the second preposed data;
s24, traversing each product of the target enterprise, and acquiring a substitute product set of the target enterprise according to the fourth preposed data;
s25, traversing the alternative product set of the target enterprise, and obtaining an alternative product production enterprise set of the target enterprise according to the second preposed data;
and S26, merging the competitor enterprise set, the complementary product production enterprise set and the alternative product production enterprise set to obtain the competitive product enterprise set of the target enterprise.
Further, the step S1 further includes a step S10 before S11, which is as follows:
normalizing the names of products in the industry to form a product name normalization dictionary; the product name normalization dictionary serves as first prepositive data.
Preferably, the name normalization of the product comprises the following steps:
s101, collecting product names from a plurality of sources;
s102, calculating approximate product names, putting all the approximate product names exceeding a threshold value into a set, and randomly selecting one of the approximate product names as a normalized product name;
s103, collecting the normalized product names to form a product name normalization dictionary.
Further, the source of the corresponding relation set of the enterprise and the competitor enterprise is at least one of competitor self-described by the enterprise and industry news.
Further, the source of the corresponding relationship set of the product and the manufacturing enterprise is at least one of the operation range of the manufacturing enterprise, the product catalog of the manufacturing enterprise, and the product catalog of the industry.
Furthermore, the method for acquiring the associated enterprise further comprises
S3, the competitive product enterprise complement step, namely:
randomly selecting leading enterprises of industries to which the competitive product enterprises belong to add into the competitive product enterprise set of the target enterprise, specifically
And traversing the leading enterprises of the industries to which the bidding enterprises belong, generating a random number of 0-100 for each leading enterprise, and adding the corresponding leading enterprise into the bidding enterprise set of the target enterprise if the random number is greater than a preset threshold value.
Furthermore, the method for acquiring the associated enterprise further comprises
S4, the competitive product enterprise screening step includes:
further screening the competitive product enterprises in the competitive product enterprise set of the target enterprise according to the geographic position and/or the willingness to move to the site and/or the comparison requirement and/or the change condition of the core technical personnel, in particular to screening the competitive product enterprises
Traversing all businesses within the competitive business collection, for a given one of the businesses, (a) removing the business if the geographic distance of the business exceeds a threshold; (b) if the enterprise does not have the willingness of moving the address, removing the enterprise; (c) if the business is significantly out of compliance with the comparison requirements, the business is removed.
Preferably, the comparison requirements include government recruiter requirements and/or strategic investment requirements of a marketing enterprise.
Furthermore, the method for acquiring associated enterprises of the present invention further includes step S5, and the step of ranking the competitive enterprise includes: and for the competitive product enterprises in the competitive product enterprise set, reading the products corresponding to the competitive product enterprises according to the second preposed data, and sequencing according to the number of the products corresponding to the competitive product enterprises.
In order to achieve the second object of the present invention, the technical solution adopted by the present invention is specifically as follows:
an enterprise-associated acquisition electronic device comprising
A data preparation device, the data preparation device comprising:
the fifth preposed data acquisition device is used for traversing enterprises in the industry and determining competitor enterprises of each enterprise so as to form a corresponding relation set of the enterprises and the competitor enterprises; the corresponding relation set of the enterprise and the competitor enterprise is used as fifth prepositive data;
the second preposed data acquisition device is used for traversing the products in the industry and determining the production enterprises of each product so as to form a corresponding relation set of the products and the production enterprises; the corresponding relation set of the product and the production enterprise is used as second preposed data;
the third preposed data acquisition device is used for traversing the products in the industry and determining the complementary products of each product so as to form a corresponding relation set of the products and the complementary products; the corresponding relation set of the product and the complementary product is used as third preposed data;
the fourth preposed data acquisition device is used for traversing the products in the industry and determining the substitute products of each product to form a corresponding relation set of the products and the substitute products; the corresponding relation set of the product and the substitute product is used as fourth prepositive data;
the bid enterprise acquisition device of target enterprise, the bid enterprise acquisition device of target enterprise includes:
the competitor enterprise set acquisition device of the target enterprise is used for acquiring a competitor enterprise set of the target enterprise according to the fifth preposed data;
the complementary product set acquisition device of the target enterprise is used for traversing each product of the target enterprise and acquiring a complementary product set of the target enterprise according to the third preposed data;
the complementary product production enterprise set acquisition device of the target enterprise is used for traversing the complementary product set of the target enterprise and acquiring the complementary product production enterprise set of the target enterprise according to the second preposed data;
the alternative product set acquisition device of the target enterprise is used for traversing each product of the target enterprise and acquiring an alternative product set of the target enterprise according to the fourth preposed data;
the alternative product production enterprise set acquisition device of the target enterprise is used for traversing the alternative product set of the target enterprise and acquiring the alternative product production enterprise set of the target enterprise according to the second preposed data;
and the competitive product enterprise set acquisition device is used for merging the competitor enterprise set, the complementary product production enterprise set and the alternative product production enterprise set to acquire the competitive product enterprise set of the target enterprise.
In order to achieve the third object of the present invention, the technical solution adopted by the present invention is specifically as follows:
a computer-readable storage medium on which an enterprise-related acquisition program is stored, the enterprise-related acquisition program implementing the enterprise-related acquisition method when executed by a processor.
In order to achieve the fourth object of the present invention, the technical solution adopted by the present invention is specifically as follows:
a terminal comprises a memory, a processor and an acquisition program of an associated enterprise, wherein the acquisition program of the associated enterprise is stored on the memory and can run on the processor, and the acquisition method of the associated enterprise is realized when the processor executes the acquisition program of the associated enterprise.
It should be noted that the competitive product enterprises described in the present invention include competitor enterprises, complementary product enterprises, and alternative product enterprises.
Compared with the prior art, the invention has the beneficial effects that:
1. the acquisition method of the related enterprise comprises the steps of finding out a competitor enterprise set from a target enterprise, then acquiring complementary products and substitute products of the competitor enterprise set according to products produced by the target enterprise, respectively and correspondingly acquiring the complementary product production enterprise set and the substitute product production enterprise set of the target enterprise through the complementary products and the substitute products, and then combining the competitor enterprise set, the complementary product production enterprise set and the substitute product production enterprise set to obtain a competitive product enterprise set of the target enterprise, so that the competitive product enterprise set of related enterprises can be recommended for governments when the enterprises recruit or build industrial environments, and the use requirements of people are met.
2. The method for acquiring the associated enterprises further comprises a step of complementing the competitive product enterprises, so that the completeness of the recommendation information of the competitive product enterprise group can be further improved, and can reach more than 85%.
3. The method for acquiring the associated enterprises further comprises a step of screening the competitive product enterprises, so that the precision of the recommendation information of the competitive product enterprise group can be further improved.
4. The method for acquiring the associated enterprises further comprises a step of ranking the competitive product enterprises, and can be helpful for the enterprises to preferentially select the corresponding competitive product enterprises.
The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of a method of a preferred embodiment of the acquisition method of the related enterprise of the present invention.
Detailed Description
As shown in fig. 1, the method for acquiring an associated enterprise of the present invention includes the following steps:
s1, the data preparation step specifically includes the following steps:
s11, traversing enterprises in the industry, and determining competitor enterprises of each enterprise to form a corresponding relation set of the enterprises and the competitor enterprises; the corresponding relation set of the enterprise and the competitor enterprise is used as fifth prepositive data;
s12, traversing the products in the industry, and determining the production enterprises of each product to form a corresponding relation set of the products and the production enterprises; the corresponding relation set of the product and the production enterprise is used as second preposed data;
s13, traversing the products in the industry, and determining the complementary products of each product to form a corresponding relation set of the products and the complementary products; the corresponding relation set of the product and the complementary product is used as third preposed data;
s14, traversing the products in the industry, and determining the substitute products of each product to form a corresponding relation set of the products and the substitute products; the corresponding relation set of the product and the substitute product is used as fourth prepositive data;
s2, acquiring the competitive product enterprises of the target enterprise, which comprises the following steps:
s21, obtaining a competitor enterprise set of the target enterprise according to the fifth preposed data;
s22, traversing each product of the target enterprise, and obtaining a complementary product set of the target enterprise according to the third preposed data;
s23, traversing the complementary product set of the target enterprise, and obtaining a complementary product production enterprise set of the target enterprise according to the second preposed data;
s24, traversing each product of the target enterprise, and acquiring a substitute product set of the target enterprise according to the fourth preposed data;
s25, traversing the alternative product set of the target enterprise, and obtaining an alternative product production enterprise set of the target enterprise according to the second preposed data;
and S26, merging the competitor enterprise set, the complementary product production enterprise set and the alternative product production enterprise set to obtain the competitive product enterprise set of the target enterprise.
It should be noted that the competitive product enterprises described in the present invention include competitor enterprises, complementary product enterprises, and alternative product enterprises.
Further, the step S1 further includes a step S10 before S11, which is as follows:
normalizing the names of products in the industry to form a product name normalization dictionary; the product name normalization dictionary serves as first prepositive data.
In order to further improve the accuracy of the obtained second and third pre-data, as a further improvement of this embodiment, the name normalization of the product includes the following steps:
s101, collecting product names from a plurality of sources;
s102, calculating approximate product names, putting all the approximate product names exceeding a threshold value into a set, and randomly selecting one of the approximate product names as a normalized product name;
s103, collecting the normalized product names to form a product name normalization dictionary.
In order to simplify the source and reduce the use cost, the source comprises key products and service guide catalogues of strategic emerging industries and product webpages of E-commerce platforms.
Specifically, the source of the corresponding relationship set of the enterprise and the competitor enterprise is at least one of competitor self-documented by the enterprise and industry news.
Specifically, the source of the corresponding relationship set of the product and the manufacturing enterprise is at least one of the operation range of the manufacturing enterprise, the product catalog book of the manufacturing enterprise, and the product catalog book of the industry.
In order to further improve the completeness of the recommendation information of the competitive product enterprise group, as an improvement of this embodiment, the method for acquiring associated enterprises of the present invention further includes
S3, the competitive product enterprise complement step, namely:
randomly selecting leading enterprises of industries to which the competitive product enterprises belong to add into the competitive product enterprise set of the target enterprise, specifically
And traversing the leading enterprises of the industries to which the bidding enterprises belong, generating a random number of 0-100 for each leading enterprise, and adding the corresponding leading enterprise into the bidding enterprise set of the target enterprise if the random number is greater than a preset threshold value.
In order to further improve the accuracy of the recommendation information of the competitive product enterprise group, as an improvement of this embodiment, the method for acquiring the associated enterprise further includes
S4, the competitive product enterprise screening step includes:
further screening the competitive product enterprises in the competitive product enterprise set of the target enterprise according to the geographic position and/or the willingness to move to the site and/or the comparison requirement and/or the change condition of the core technical personnel, in particular to screening the competitive product enterprises
Traversing all businesses within the competitive business collection, for a given one of the businesses, (a) removing the business if the geographic distance of the business exceeds a threshold; (b) if the enterprise does not have the willingness of moving the address, removing the enterprise; (c) if the business is significantly less compatible with the comparison requirements, e.g., the business to which the business belongs is not a strategic investment requirement of the business of the government sponsor and/or the business being marketed, then the business is removed.
Still further, in order to facilitate the enterprise to preferentially select the corresponding competitive enterprise, as a further improvement of this embodiment, the method for acquiring associated enterprises of the present invention further includes step S5, where the step of ranking the competitive enterprises is: and for the competitive product enterprises in the competitive product enterprise set, reading the products corresponding to the competitive product enterprises according to the second preposed data, and sequencing according to the number of the products corresponding to the competitive product enterprises.
The following further describes a specific ranking process of the related enterprises according to the present invention with reference to specific examples:
given an enterprise i, if the enterprise v needs to judge whether the enterprise v is a competitive enterprise of the enterprise i, the competitive score Cv (alpha) of the enterprise v is used as a competitive enterprise coefficient Ev + (1-alpha) complementary product coefficient Fv-talent difference coefficient Bv. The idea of scoring is as follows: (a-1) first, consider the known competing relationships of the two enterprises; (a-2) second, considering the products of the two enterprises to form a complementary relationship; (b) by taking the above two relationships into consideration,
wherein alpha is a real number greater than or equal to 0 and less than or equal to 1; the value of alpha is adjusted according to the requirement; for example, in a scene where demand comes from a sponsor, the composition of an industrial chain is more emphasized, so the value of alpha is closer to 1; for another example, when the demand comes from the scenes of supply chain finance, strategic investment and the like, the trading relation of the product is more emphasized, so the value of alpha is closer to 0; (c) to remove the influence of non-productivity, specifically, consider the difference in talent composition between two enterprises.
(1) And (5) the competitive product enterprise coefficient. Given n-1 enterprises, e1, …, e (i-1), e (i +1), …, en are the bidding enterprise values of 1 st, … st, i-1 st, i +1 st, … st, n enterprise for a given enterprise i, that is, ev is the bidding enterprise value of v enterprise for enterprise i, and the value range is an integer greater than or equal to 0; wherein ev takes the following values: given the aforementioned "competitive business set" for business i, the number of occurrences of business v in this set is ev.
The competitive business coefficient Ev of the vth business, Ev/(e1+ … + e (i-1) + e (i +1) + … + en) — all Ev's are real numbers greater than or equal to 0 and less than or equal to 1 according to the formula.
(2) Complementary product coefficients. Given n-1 enterprises, f1, …, f (i-1), f (i +1), …, fn is the value of the complementary product of the 1 st, …, i-1, i +1, …, n enterprise for the given enterprise i, i.e., fv is the value of the complementary product of the v enterprise for enterprise i, and the value range is an integer greater than or equal to 0;
wherein fv takes the following values: given the aforementioned "product-complementary product correspondence set", all tuples (products from enterprise i, products from enterprise v) are traversed and counted, and the counting result is fv.
The complementary product coefficient Fv for the nth enterprise is Fv/(f1+ … + f (i-1) + f (i +1) + … + fn.) according to the formula, all Fv values are real numbers greater than or equal to 0 and less than or equal to 1.
(3) Talent difference coefficient. Given the enterprise v recruitment position classification and the enterprise i recruitment position classification, the talent difference coefficient Bv takes values as follows: (a) the coefficient is 0.0, if the overlapped classification is more than 10; (b) the coefficient is 0.5, if the overlapped classification is between 5 and 9; (c) the coefficient is 0.75 if the overlapping classifications are 0-4.
And (4) sorting the n-1 enterprises from large to small according to the value of Cj, and outputting the sorted enterprises to obtain the competitive product enterprise list of the given enterprise i.
The invention also discloses an acquiring electronic device of the associated enterprise, which comprises
A data preparation device, the data preparation device comprising:
the fifth preposed data acquisition device is used for traversing enterprises in the industry and determining competitor enterprises of each enterprise so as to form a corresponding relation set of the enterprises and the competitor enterprises; the corresponding relation set of the enterprise and the competitor enterprise is used as fifth prepositive data;
the second preposed data acquisition device is used for traversing the products in the industry and determining the production enterprises of each product so as to form a corresponding relation set of the products and the production enterprises; the corresponding relation set of the product and the production enterprise is used as second preposed data;
the third preposed data acquisition device is used for traversing the products in the industry and determining the complementary products of each product so as to form a corresponding relation set of the products and the complementary products; the corresponding relation set of the product and the complementary product is used as third preposed data;
the fourth preposed data acquisition device is used for traversing the products in the industry and determining the substitute products of each product to form a corresponding relation set of the products and the substitute products; the corresponding relation set of the product and the substitute product is used as fourth prepositive data;
the bid enterprise acquisition device of target enterprise, the bid enterprise acquisition device of target enterprise includes:
the competitor enterprise set acquisition device of the target enterprise is used for acquiring a competitor enterprise set of the target enterprise according to the fifth preposed data;
the complementary product set acquisition device of the target enterprise is used for traversing each product of the target enterprise and acquiring a complementary product set of the target enterprise according to the third preposed data;
the complementary product production enterprise set acquisition device of the target enterprise is used for traversing the complementary product set of the target enterprise and acquiring the complementary product production enterprise set of the target enterprise according to the second preposed data;
the alternative product set acquisition device of the target enterprise is used for traversing each product of the target enterprise and acquiring an alternative product set of the target enterprise according to the fourth preposed data;
the alternative product production enterprise set acquisition device of the target enterprise is used for traversing the alternative product set of the target enterprise and acquiring the alternative product production enterprise set of the target enterprise according to the second preposed data;
and the competitive product enterprise set acquisition device is used for merging the competitor enterprise set, the complementary product production enterprise set and the alternative product production enterprise set to acquire the competitive product enterprise set of the target enterprise.
The invention also discloses a computer readable storage medium, on which the acquisition program of the associated enterprise is stored, and the acquisition program of the associated enterprise realizes the acquisition method of the associated enterprise when being executed by the processor.
The invention also discloses a terminal which comprises a memory, a processor and an acquisition program of the associated enterprise, wherein the acquisition program of the associated enterprise is stored on the memory and can be operated on the processor, and the acquisition method of the associated enterprise is realized when the processor executes the acquisition program of the associated enterprise.
The above embodiments are only preferred embodiments of the present invention, and the protection scope of the present invention is not limited thereby, and any insubstantial changes and substitutions made by those skilled in the art based on the present invention are within the protection scope of the present invention.
Claims (9)
1. An acquisition method of a related enterprise is characterized by comprising the following steps:
s1, the data preparation step specifically includes the following steps:
s11, traversing enterprises in the industry, and determining competitor enterprises of each enterprise to form a corresponding relation set of the enterprises and the competitor enterprises; the corresponding relation set of the enterprise and the competitor enterprise is used as fifth prepositive data;
s12, traversing the products in the industry, and determining the production enterprises of each product to form a corresponding relation set of the products and the production enterprises; the corresponding relation set of the product and the production enterprise is used as second preposed data;
s13, traversing the products in the industry, and determining the complementary products of each product to form a corresponding relation set of the products and the complementary products; the corresponding relation set of the product and the complementary product is used as third preposed data;
s14, traversing the products in the industry, and determining the substitute products of each product to form a corresponding relation set of the products and the substitute products; the corresponding relation set of the product and the substitute product is used as fourth prepositive data;
s2, acquiring the competitive product enterprises of the target enterprise, which comprises the following steps:
s21, obtaining a competitor enterprise set of the target enterprise according to the fifth preposed data;
s22, traversing each product of the target enterprise, and obtaining a complementary product set of the target enterprise according to the third preposed data;
s23, traversing the complementary product set of the target enterprise, and obtaining a complementary product production enterprise set of the target enterprise according to the second preposed data;
s24, traversing each product of the target enterprise, and acquiring a substitute product set of the target enterprise according to the fourth preposed data;
s25, traversing the alternative product set of the target enterprise, and obtaining an alternative product production enterprise set of the target enterprise according to the second preposed data;
and S26, merging the competitor enterprise set, the complementary product production enterprise set and the alternative product production enterprise set to obtain the competitive product enterprise set of the target enterprise.
2. The method for acquiring related enterprises as claimed in claim 1, wherein the step S1 further includes a step S10 before S11, specifically as follows:
normalizing the names of products in the industry to form a product name normalization dictionary; the product name normalization dictionary serves as first prepositive data.
3. The method for acquiring related enterprises according to claim 2, wherein the name normalization of the products comprises the following steps:
s101, collecting product names from a plurality of sources;
s102, calculating approximate product names, putting all the approximate product names exceeding a threshold value into a set, and randomly selecting one of the approximate product names as a normalized product name;
s103, collecting the normalized product names to form a product name normalization dictionary.
4. The method according to claim 1, wherein the source of the set of correspondences between the enterprise and the competitor enterprise is at least one of competitor news and industry news of the enterprise.
5. The method according to claim 1, wherein the source of the product-to-manufacturing-enterprise correspondence set is at least one of a business scope of the manufacturing enterprise, a product catalog of the manufacturing enterprise, and a product catalog of an industry.
6. The method for acquiring related enterprises according to any one of claims 1 to 5, further comprising
S3, the competitive product enterprise complement step, namely:
randomly selecting leading enterprises of industries to which the competitive product enterprises belong to add into the competitive product enterprise set of the target enterprise, specifically
Traversing the leading enterprises of the industries to which the competitive product enterprises belong, generating a random number of 0-100 for each leading enterprise, and adding the corresponding leading enterprise into the competitive product enterprise set of the target enterprise if the random number is greater than a preset threshold value;
or, also includes
S4, the competitive product enterprise screening step includes:
further screening the competitive product enterprises in the competitive product enterprise set of the target enterprise according to the geographic position and/or the willingness to move to the site and/or the comparison requirement and/or the change condition of the core technical personnel, in particular to screening the competitive product enterprises
Traversing all businesses within the competitive business collection, for a given one of the businesses, (a) removing the business if the geographic distance of the business exceeds a threshold; (b) if the enterprise does not have the willingness of moving the address, removing the enterprise; (c) if the enterprise obviously does not accord with the comparison requirement, removing the enterprise;
or, further comprising S5, a competition enterprise sorting step, namely: and for the competitive product enterprises in the competitive product enterprise set, reading the products corresponding to the competitive product enterprises according to the second preposed data, and sequencing according to the number of the products corresponding to the competitive product enterprises.
7. An acquiring electronic device for an associated enterprise, comprising
A data preparation device, the data preparation device comprising:
the fifth preposed data acquisition device is used for traversing enterprises in the industry and determining competitor enterprises of each enterprise so as to form a corresponding relation set of the enterprises and the competitor enterprises; the corresponding relation set of the enterprise and the competitor enterprise is used as fifth prepositive data;
the second preposed data acquisition device is used for traversing the products in the industry and determining the production enterprises of each product so as to form a corresponding relation set of the products and the production enterprises; the corresponding relation set of the product and the production enterprise is used as second preposed data;
the third preposed data acquisition device is used for traversing the products in the industry and determining the complementary products of each product so as to form a corresponding relation set of the products and the complementary products; the corresponding relation set of the product and the complementary product is used as third preposed data;
the fourth preposed data acquisition device is used for traversing the products in the industry and determining the substitute products of each product to form a corresponding relation set of the products and the substitute products; the corresponding relation set of the product and the substitute product is used as fourth prepositive data;
the bid enterprise acquisition device of target enterprise, the bid enterprise acquisition device of target enterprise includes:
the competitor enterprise set acquisition device of the target enterprise is used for acquiring a competitor enterprise set of the target enterprise according to the fifth preposed data;
the complementary product set acquisition device of the target enterprise is used for traversing each product of the target enterprise and acquiring a complementary product set of the target enterprise according to the third preposed data;
the complementary product production enterprise set acquisition device of the target enterprise is used for traversing the complementary product set of the target enterprise and acquiring the complementary product production enterprise set of the target enterprise according to the second preposed data;
the alternative product set acquisition device of the target enterprise is used for traversing each product of the target enterprise and acquiring an alternative product set of the target enterprise according to the fourth preposed data;
the alternative product production enterprise set acquisition device of the target enterprise is used for traversing the alternative product set of the target enterprise and acquiring the alternative product production enterprise set of the target enterprise according to the second preposed data;
and the competitive product enterprise set acquisition device is used for merging the competitor enterprise set, the complementary product production enterprise set and the alternative product production enterprise set to acquire the competitive product enterprise set of the target enterprise.
8. A computer-readable storage medium characterized by: an enterprise-related acquisition program stored thereon, which when executed by a processor implements an enterprise-related acquisition method as claimed in any one of claims 1 to 7.
9. A terminal, characterized by: the system comprises a memory, a processor and an enterprise-related acquisition program which is stored on the memory and can run on the processor, wherein the processor realizes the enterprise-related acquisition method according to any one of claims 1 to 7 when executing the enterprise-related acquisition program.
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Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11306158A (en) * | 1998-04-20 | 1999-11-05 | Sony Corp | Simulation method for enterprise size distribution and recording medium where program for implementing simulation method for enterprise size distribution is stored |
| CN104063411A (en) * | 2013-09-12 | 2014-09-24 | 江苏金鸽网络科技有限公司 | Enterprise intelligence gathering method based on Michael Porter's Five Forces Model |
| US20150154613A1 (en) * | 2013-02-27 | 2015-06-04 | Google Inc. | Competitor analytics |
| KR101679750B1 (en) * | 2016-08-31 | 2016-11-25 | (주)이슈캐스터 | System for evaluating a brand using big data analysis to provide customized information |
| CN107463616A (en) * | 2017-07-03 | 2017-12-12 | 上海凡响网络科技有限公司 | A kind of business information analysis method and system |
| KR101808702B1 (en) * | 2017-03-22 | 2018-01-18 | 중소기업진흥공단 | Enterprise Diagnostic Method Using Enterprise Diagnosis And Evaluation Integration System |
| CN107944760A (en) * | 2017-12-15 | 2018-04-20 | 广州市齐明软件科技有限公司 | A kind of enterprise's bidding competition power analysis method and system |
| CN108805458A (en) * | 2018-06-20 | 2018-11-13 | 国网电力科学研究院武汉南瑞有限责任公司 | A kind of enterprise technology Competitiveness Assessment method and device |
| CN108985600A (en) * | 2018-07-03 | 2018-12-11 | 龙马智芯（珠海横琴）科技有限公司 | Analysis method, computer readable storage medium and the analytical equipment of enterprise competitiveness |
| CN111429032A (en) * | 2020-04-21 | 2020-07-17 | 田治宇 | Systematic analysis method for guiding enterprise to make global strategy |
| CN111652632A (en) * | 2019-03-04 | 2020-09-11 | 庄水荣 | Technology appraisal and technology transaction system and method with technology content measurement |
| CN112435051A (en) * | 2020-11-13 | 2021-03-02 | 北京创业光荣信息科技有限责任公司 | Obtaining method of associated enterprise, electronic equipment, computer readable storage medium and terminal |
-
2020
- 2020-11-13 CN CN202011265020.3A patent/CN112435050B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11306158A (en) * | 1998-04-20 | 1999-11-05 | Sony Corp | Simulation method for enterprise size distribution and recording medium where program for implementing simulation method for enterprise size distribution is stored |
| US20150154613A1 (en) * | 2013-02-27 | 2015-06-04 | Google Inc. | Competitor analytics |
| CN104063411A (en) * | 2013-09-12 | 2014-09-24 | 江苏金鸽网络科技有限公司 | Enterprise intelligence gathering method based on Michael Porter's Five Forces Model |
| KR101679750B1 (en) * | 2016-08-31 | 2016-11-25 | (주)이슈캐스터 | System for evaluating a brand using big data analysis to provide customized information |
| KR101808702B1 (en) * | 2017-03-22 | 2018-01-18 | 중소기업진흥공단 | Enterprise Diagnostic Method Using Enterprise Diagnosis And Evaluation Integration System |
| CN107463616A (en) * | 2017-07-03 | 2017-12-12 | 上海凡响网络科技有限公司 | A kind of business information analysis method and system |
| CN107944760A (en) * | 2017-12-15 | 2018-04-20 | 广州市齐明软件科技有限公司 | A kind of enterprise's bidding competition power analysis method and system |
| CN108805458A (en) * | 2018-06-20 | 2018-11-13 | 国网电力科学研究院武汉南瑞有限责任公司 | A kind of enterprise technology Competitiveness Assessment method and device |
| CN108985600A (en) * | 2018-07-03 | 2018-12-11 | 龙马智芯（珠海横琴）科技有限公司 | Analysis method, computer readable storage medium and the analytical equipment of enterprise competitiveness |
| CN111652632A (en) * | 2019-03-04 | 2020-09-11 | 庄水荣 | Technology appraisal and technology transaction system and method with technology content measurement |
| CN111429032A (en) * | 2020-04-21 | 2020-07-17 | 田治宇 | Systematic analysis method for guiding enterprise to make global strategy |
| CN112435051A (en) * | 2020-11-13 | 2021-03-02 | 北京创业光荣信息科技有限责任公司 | Obtaining method of associated enterprise, electronic equipment, computer readable storage medium and terminal |
Non-Patent Citations (3)
| Title |
|---|
| 娄策群: "企业产品创新的信息需求与信息资源开发利用", 情报科学, no. 05, pages 471 - 473 * |
| 戴泽钒;朱奕帆;许鑫;: "基于用户重合度的竞争对手识别方法", 情报理论与实践, no. 09, pages 57 - 62 * |
| 杨丽娟;谢建;: "可再生能源竞争性情报的收集与利用", 可再生能源, no. 12, pages 105 - 108 * |
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