JP2004021333A - Collaboration enterprise selection method and system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a collaboration enterprise selection method for selecting a proper collaboration mate. <P>SOLUTION: This method selects the proper collaboration mate by using a computer system in collaboration for cooperating between enterprises. The computer system is provided with a step for accepting an enterprise selecting request including attribute information on a collaboration enterprise or attribute information on collaboration contents from an input device, a step for extracting corresponding business process information by collating the attribute information included in the enterprise selecting request with a database for associatively storing information on a business processing process with every enterprise, a step for recognizing a coincidence degree by comparing the extracted business process information between the collaboration enterprises, a step for determining the affinity of the collaboration enterprise according to a recognized coincidence degree and a step for outputting the determinnation result of the affinity to an output device. <P>COPYRIGHT: (C)2004,JPO

Description

[0001]
TECHNICAL FIELD OF THE INVENTION
The present invention relates to a method of selecting an appropriate collaborating partner using a computer system in collaboration between companies.
[0002]
BACKGROUND OF THE INVENTION
Until now, as a “collaboration” in which companies cooperate, an order-receiving relationship such as a sales operation for a purchase operation of parts and materials has been generally used. If companies that have such a relationship are referred to as “collaboration companies”, for example, in most cases when selecting this collaboration company, it is necessary to purchase mass-produced parts such as mechanical parts and electric / electronic parts from any supplier company. In many cases, it is necessary to select (or from which company to receive an order). As described above, if the relationship of collaboration is created only by the relationship of ordering of products and services, if the selection of the collaboration company is performed in consideration of the past transaction contents and results of the company, a relatively stable product It was possible to secure the quality, price, or delivery date compliance status.
[0003]
On the other hand, in recent years, a situation has emerged in which outsourcing of software construction and outsourcing of various operations are actively performed, or the consulting market is activated. For example, if a company outsources software construction, the ordering company and the ordering company can communicate during the process of completing and delivering the software due to reconfirmation or revision of work progress and policies. They often exchange not a little. In other words, there has been an increase in the number of collaborations, such as ordering a product and receiving and delivering the product, which is basically not the usual flow of simply exchanging the product and its price when ordering.
[0004]
Therefore, in order to cope with such a new collaboration, there has been proposed a method of evaluating the quality of a business process of a collaboration company and predicting the quality and the like of the future collaboration work based on the result. For example, Carnegie Mellon University's “Capacity Maturity Model (CMM)” proposes a method of evaluating a software development company as a collaborative company based on whether or not a specified development process and development system can be observed. Have been.
[0005]
According to such a method, the collaborative work includes new elements, and even if it is difficult to predict the quality of the collaborative work this time using only the past performance data, the order result can be obtained. It is possible to ensure the quality and delivery date of the deliverables to some extent.
[0006]
[Problems to be solved by the invention]
However, there is room for improvement in the above-mentioned conventional method. In other words, even if a collaboration company with a good business process was selected, there were quite a few cases that caused some problems. Most of this problem has been caused by poor affinity of business processes between collaboration companies, that is, between the ordering company and the order receiving company. In other words, even if the business processes of the ordering company and the order receiving company are excellent when evaluated independently, if the two business processes are different, smooth and efficient business execution and product It was not easy to ensure quality and delivery.
[0007]
For example, it is assumed that the business process on the ordering side is a business process in which a meeting is held at least once a week with the order receiving company and sufficient communication is performed. On the other hand, according to the business process on the order receiving side, the order receiving side receives written instructions on the contents of work, performs the work in accordance with it, and eliminates miscommunication by communicating any unknown points in a fixed format document. Suppose it was a process. In this case, whichever business process is a good process from the viewpoint of a business process that eliminates miscommunication. However, the business process of the ordering company and the business process of the ordering company differ greatly in form, and there is a high possibility that the process flows and opportunities do not mesh with each other and cause problems due to miscommunication.
[0008]
The present invention has been made in view of such a conventional problem, and an object of the present invention is to provide a collaboration company selection method and system capable of selecting an appropriate collaboration partner.
[0009]
[Means for Solving the Problems]
A method of the present invention for achieving the above object is a method of selecting an appropriate collaborating partner using a computer system in collaboration between corporations, wherein the computer system has attribute information or collaboration content of a collaboration company. Receiving the company selection request including the attribute information from the input device; and collating the attribute information included in the company selection request with a database storing information on business processing processes in association with each company. Extracting the process information, comparing the extracted business process information among the collaboration companies, and determining the degree of matching thereof, and determining the affinity of the collaboration company according to the determined degree of matching. Outputs the affinity judgment result to the output device. Characterized in that it comprises the steps of, a.
[0010]
In addition, the problems disclosed by the present application and the solution thereof will be clarified by the description of the embodiments of the invention and the drawings.
[0011]
BEST MODE FOR CARRYING OUT THE INVENTION
At least the following will be made clear by the description in this specification.
In the collaboration company selection method, the business process information includes a form of information exchange performed on a business, a frequency of the information exchange, an opportunity or condition for reporting on a business, a method of changing specifications during development of a product / service or At least one of the conditions can be compared between the collaboration companies, and the degree of coincidence of each information can be recognized.
[0012]
Further, in the collaboration company selection method, upon recognizing the degree of coincidence, a point is added to each of the matching items between the business process information to be compared, and the number of points is used as it is or according to the weight set for each of the matching items. After the correction, the affinity determination processing can be executed based on the number of points.
[0013]
Further, a computer system for selecting an appropriate collaborating partner at the time of collaborating between companies, a means for receiving a company selection request including attribute information of the collaboration company or attribute information of the collaboration content from the input device, Means for extracting attribute information included in the enterprise selection request with respect to a database storing information on the process in association with each company, and extracting the relevant business process information. In contrast, the method includes: means for recognizing the degree of matching, means for determining affinity of the collaboration company according to the recognized degree of matching, and means for outputting the determination result of the affinity to an output device. A unique collaboration company selection system
[0014]
Further, in the collaboration company selection system, the business process information includes a form of information exchange performed on a business, a frequency of the information exchange, an opportunity or condition for performing a business report, a change in specifications during development of a product / service. There may be provided a means for comparing the information of at least one of the method and the condition between the collaboration companies and recognizing the degree of coincidence of each information.
[0015]
Further, in the collaboration company selection system, upon recognizing the degree of coincidence, a point is added for each matching item between business process information to be compared, and the number of points is used as it is or according to a weight set for each matching item. It may be provided with means for correcting and executing affinity determination processing based on the number of points.
[0016]
In addition, in the case of collaboration between companies, a program for causing a computer to execute a method of selecting an appropriate collaboration partner is input, and a company selection request including the attribute information of the collaboration company or the attribute information of the collaboration content is input. Accepting from the device, collating attribute information included in the company selection request against a database storing information on business process processes associated with each company, and extracting corresponding business process information. Comparing the business process information between the collaboration companies and recognizing the degree of coincidence; determining the affinity of the collaboration company in accordance with the recognized degree of coincidence; and outputting the affinity determination result to an output device. And the step of And it is made to collaboration company selection program.
[0017]
Further, a computer-readable recording medium storing the collaboration company selection program is provided.
[0018]
Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. FIG. 1 is a diagram illustrating a configuration example of a collaboration company selection system 100 according to the present embodiment, and FIG. 2 is a diagram illustrating a configuration example of a collaboration company business process affinity evaluation unit 130 according to the present embodiment. In the present embodiment, a description will be given on the assumption that a collaboration company is selected for software development. Of course, the scope of the present invention is not limited only to the present embodiment, and is applicable to various situations in which collaboration is performed between companies. A collaboration company selection system 100 (hereinafter, referred to as a system 100) shown in the figure includes an input unit 101, an output unit 102, a past performance evaluation unit 110, a collaboration company business process evaluation unit 120, and a collaboration company business process affinity evaluation unit 130. Is a computer system composed of
[0019]
As the input unit 101, various data input units such as a keyboard, a mouse, a voice recognition device, and a scanner can be applied. In addition, not only the console attached to the computer system such as the keyboard described above, but also a console or terminal connected via a network, and any input means compatible with the system 100 may be used. Good. The output unit 102 may be any data output unit such as a monitor, a printer, a speech synthesizer, and a network output unit.
[0020]
The system 100 includes the past performance evaluation unit 110, the collaboration company business process evaluation unit 120, and the collaboration company business process affinity evaluation unit 130 as the calculation means 105. The past performance evaluation unit 110, for a company assumed or designated as a partner of the collaboration (hereinafter, referred to as a “collaboration company”), records the past transaction performance and delivery status of the corresponding company from the performance database 111. The data is obtained and compared with predetermined reference data or a condition specified in the input unit 101 to evaluate the data.
[0021]
The collaboration company business process evaluation unit 120 (hereinafter, referred to as the process evaluation unit 120) has a function similar to the capability maturity model (CMM) described above. A function for acquiring business process data about a collaboration company in the process evaluation database 121 storing business process data for each company, and evaluating the quality of compliance with a predetermined development process or development system. Is provided. Details of the business process data will be described later.
[0022]
Although the past performance evaluation unit 110 and the process evaluation unit 120 are shown, they may be omitted as necessary, and a collaboration company may be selected by providing only the business process affinity evaluation unit 130 between collaboration companies. It is possible.
[0023]
The inter-collaboration business process affinity evaluation unit 130 (hereinafter, referred to as the affinity evaluation unit 130) has a configuration shown in FIG. The affinity evaluation unit 130 includes a business process data acquisition unit 131, a business process database 132, and an affinity evaluation unit 133. The business process data obtaining means 131 receives business process data for each company sent from the input unit 101 as needed, and obtains business process data while appropriately distributing the data to the output unit 102. The business process data obtained here is stored in the business process database 132.
[0024]
The affinity evaluation unit 130 activates the affinity evaluation unit 133 when receiving an evaluation start instruction (company selection request) related to the affinity of the business process from the input unit 101. The activated affinity evaluation unit 133 reads the business process data of the collaboration company (eg, the ordering company and the order receiving company) from the business process database 132, and performs the collaboration in accordance with the algorithm for realizing the collaboration company selection method of the present invention. It evaluates the affinity of business processes between companies. The result of evaluating the affinity between the business processes is delivered to the output unit 102.
[0025]
The situation in which the affinity of business processes is evaluated can be applied not only to a one-to-one situation such as an ordering company and an order receiving company, but also to a situation in which a plurality of companies and a plurality of companies collaborate on one business. Needless to say. In this case, it is only necessary to evaluate the affinity for each company and integrate the results, or perform a process such as making an evaluation to select an appropriate company.
[0026]
FIG. 3 is a diagram illustrating a configuration example of the business process data 301 in the present embodiment. The business process data 301 is data stored in the business process database 132 for each company, for example. A plurality of data 301 are stored for each company such as “new development style of company X” and “large-scale development style of company Y”, and for each type of business employed in the company (eg, for each development style). It may be done. The business process data 301 may be acquired by inquiring the relevant company when it is needed. However, if the business process data 301 is acquired in advance and stored in the business process database 132, the data processing efficiency is improved.
[0027]
As shown in the figure, the business process data 301 includes project life cycle data 302 and specification freeze timing data 311. The project life cycle data 302 is composed of a plurality of phase data 303 storing information for each phase in each project to be collaborated, such as new development of software. In other words, the processing of one project is recognized stepwise, that is, as a series of phases.
[0028]
The phase data 303 includes work content data 304, period data 305, a plurality of sets of information exchange form data 306, information exchange frequency data 307 and desired priority data 308, specification change method data 309, and report index data. 310.
[0029]
The work content data 304 is data in which work contents are designated for each phase from predetermined items such as “requirement acquisition”, “design”, “program”, and “test” in software development. That is, in the phase data 303 of the first phase, “requirement acquisition” becomes the work content, and in the phase data 303 of the second phase, “design” becomes the work content. Of course, the relationship between the phase data 303 and the work content data 304 is not fixed, and the work content of the first phase may be "design" or the work content of the second phase may be "test". Can be set.
[0030]
The period data 305 includes information on the start time and the end time of the phase to which it belongs. This data 305 may be relative instruction information such as how long a phase has progressed during the entire project and the phase is started and ended. Further, it may be absolute instruction information in which the start / end times are specified by date, time, or the like.
[0031]
The information exchange form data 306 is data indicating the form of information exchange performed on business. For example, it indicates a predetermined communication format for executing a business for each company, each project, or each phase. Examples of the information exchange form data 306 include “meeting”, “exchange with document”, “groupware”, “TV meeting”, and the like.
[0032]
The information exchange frequency data 307 is data indicating how much information exchange such as “meeting” indicated by the information exchange form data is performed. Here, it can be set in a format such as “as needed”, “every day”, “once a week”, “once a month”, and the like. The information exchange mode data 306 and the information exchange frequency data 307 form a pair to indicate a method of information exchange. A plurality of sets of information exchange form data 306 and information exchange frequency data 307 can be registered in association with desired priorities. This desired priority is included in the desired priority data 308.
[0033]
The specification change method data 309 indicates whether, for example, after the specification of the software is determined between the collaboration companies, that is, after the specification is frozen, if the specification is changed, whether or not the incidental conditions such as the increase in the value and the extension of the delivery date are executed. It is data indicating whether or not. Here, “no penalty” and “no penalty” indicate the presence or absence of the additional conditions.
[0034]
In each phase, the status report is usually made between the collaborating companies each time the work progresses to some extent. Therefore, in the report index data 310, the trigger (index) for executing this report is set as “the number of document pages”, “the number of program steps”, “the number of test digests”, “the number of design changes”, and the like. This data also enables a plurality of data to be registered for each phase.
[0035]
The specification freeze timing data 311 is data indicating at which stage the specification is frozen in the project life cycle (collection of phases). This data may be specified relatively, such as “when the second phase is completed”, or may be absolutely specified, such as “○ / △”.
[0036]
The performance database 111, the process evaluation database 121, and the business process database 132 may be provided in separate storage devices and function as individual databases, or may be combined as appropriate through a network or may be combined with one another. They may be provided collectively in a storage device.
[0037]
Further, the system 100 may include the past performance evaluation unit 110, the process evaluation unit 120, and the affinity evaluation unit 130 integrally, or may be provided by another device that is operably connected via a network. It may be.
[0038]
Further, as the apparatus to be the system 100, not only a server computer but also any apparatus having an arithmetic function and an input / output function capable of realizing the collaboration company selection method of the present invention may be used. For example, in addition to a server computer, any device having a computer chip such as a general personal computer including a laptop, a portable terminal connectable to a network, a PDA, a game machine, and a digital TV may be used.
[0039]
FIG. 4 is a diagram illustrating an example of an algorithm of the collaboration company selection method according to the present embodiment. Next, a specific processing procedure of the collaboration company selection method of the present embodiment will be described. For example, it is assumed that a person in charge of a certain company selects a collaboration company using the collaboration company selection system 100 in the present embodiment. In this case, the person in charge inputs a company selection request including the attribute information of the assumed collaboration company or the attribute information of the collaboration content using the console corresponding to the input unit 101 of the system 100.
[0040]
FIG. 5 is a diagram illustrating an example of an input screen for attribute information according to the present embodiment. The attribute information input screen 500 shown in the figure is an interface that waits for the input of the company selection request. Here, it is possible to input various types of information about a company and a business process to be collaborated. For example, a business type 501 such as “system development”, a company name 502 when a specific company is determined, a company size 503 required for a company such as “SE 100 or more”, “partially listed”, and “XX qualification 30 people” Attribute information of the collaboration company such as the number of qualified holders 504 such as “the above”, the past transaction results 505 such as “there is a large transaction”, and the delivery status 506 such as “no delay in delivery” are included.
[0041]
Further, as the attribute information relating to the business process, various types of information already described with reference to FIG. 3, that is, the business process content 507, the phase number 508, the work content 509, the information exchange mode 510, the information exchange frequency 511, the desired priority 512, the specification change A method 513, a report index 514, and a specification freeze timing 515 can be designated on this screen 500.
[0042]
In the example of FIG. 5, a company that is mainly engaged in system development and has at least 100 SEs and that has a history of dealing with large projects in the past and has no delay in delivery is designated as a target of the collaboration company. . The business process is provided with a system in which information is exchanged every day in writing about the contents of work from design to test in the new development style, and a process that imposes some penalty with specification changes is specified. Further, it is assumed that various reports during the progress of the process are made for each development program step number in the development target program, and the specification is frozen when the design is completed.
[0043]
In the system 100, the attribute information input on the screen 500 as described above is received as a company selection request via the input unit 101, and is sent to the arithmetic unit 105. The computing means 105 of the system 100 causes the business process database 132 to collate the attribute information included in the received company selection request, and extracts the corresponding business process data. The extraction of the business process data can be assumed to be performed for a company on the order receiving side which is assumed to be a collaboration company. However, if the system 100 does not recognize the business process data on the company on the ordering side, the extraction is performed here. It is obtained similarly in the processing. Alternatively, when a third party wants to select a combination of the ordering company and the order receiving company, the business process data of the ordering company and the order receiving company is extracted based on the attribute information obtained by the system 100.
[0044]
If a pair of business process data of a company that can be a collaboration target (an ordering company and an order receiving company) is selected in the business process database 132 (steps 401 and 402), the system 100 compares the pair with the affinity evaluation unit 130. It is sent to the sex evaluation means 133. The affinity evaluation unit 133 focuses on, for example, the phase data 303 in which the work content data 304 (see FIG. 3) matches (steps 403, 404, and 405). That is, for example, in order to appropriately compare the business process data on the “new development style” specified on the screen 500 in FIG. Choose the phase to do.
[0045]
Subsequently, for a pair of phases corresponding to the same work content (a plurality of pairs or a one-to-multiple case can be assumed), information exchange form data 306 and information exchange frequency data included in the phase data (business process data) 307, the specification change method data 309, and the report index data 310 are compared with each other, and the degree of coincidence is recognized.
[0046]
FIG. 6 is a diagram illustrating a setting table example 1 of attribute items and grant points according to the present embodiment, and FIG. 7 is a diagram illustrating a setting table example 2 of attribute items and grant points according to the present embodiment. The affinity evaluation means 133 refers to the table 600 shown in FIG. 6, adds points according to the match / mismatch of the information exchange form data 306, and stores the points for each corresponding phase data 303 and business process data 301. Keep it. For example, if the "information exchange mode data 306" matches between the collaboration companies, the points are added by "5" with reference to the point column 602 corresponding to the "information exchange mode" column of the attribute item 601. . Hereinafter, a point addition process corresponding to the coincidence / mismatch is performed on data other than the information exchange mode data.
[0047]
Further, as another form, a situation can be assumed in which the number of points to be added is adjusted depending on whether the attributes are completely matched, approximate, or mismatched. Regarding the information exchange mode in the table 700 shown in FIG. 7, for example, “meeting” and “TV meeting” are information in that people meet and communicate with each other regardless of whether or not IT technology is involved. Assuming that the exchange modes are similar, in this case, "2" points are added as "attribute approximation". In this table 700, an attribute perfect match point column 702 and an attribute approximate point column 703 are associated for each attribute item 701.
[0048]
However, the scope of the present invention is not limited only to the present embodiment in which points are added according to the match / mismatch of information, and all or some of the items of information included in the business process data between the collaboration companies are all the same. Only when this is done, it may be determined that there is affinity, and a collaboration company may be selected.
[0049]
The above-described matching / mismatch recognition and point addition processing may be performed stepwise in the order of, for example, information exchange mode, report index, and specification change method. In steps 406 to 410 in the algorithm example shown in FIG. 4, after processing is performed on the information exchange mode and the report index, it is determined whether or not the corresponding phase is a phase after the specification is frozen. It is said that processing related to the specification change method will be performed. Note that the term “affinity evaluation” shown in the figure includes the meaning of the recognition / mismatch recognition and point addition processing described above.
[0050]
The point addition processing is executed for each phase data 303 (step 410), and this processing is performed for all work content data 304 included in the business process data 301. It is also possible to make a correction by reflecting the desired priority data 308 on the processing result. That is, weighting may be performed such that points having higher desired priorities have more points added. The affinity between the phases may be obtained by summing the affinity evaluation results of the information exchange mode, the report index, and the specification change method, or by adding a predetermined weight.
[0051]
When the processes up to this point are completed (step 411), the process of evaluating the affinity of the entire business process data (step 412) is first performed to evaluate the affinity between the business processes. Here, a process of adding the affinity evaluation result of the phase calculated for each work content according to a preset weight is performed. When the affinity evaluation between the business processes is executed for all the business process data selected in steps 401 and 402 (step 413), a combination of business processes having the best affinity is selected (optimum in the algorithm). Determination of business process and maximum affinity (shown as step 414)).
[0052]
In this step, the largest point among the points (which can be said to be “affinity evaluation results”) for each business process calculated in step 412 is extracted. As a result, it is possible to select the order receiving company that has the best affinity for the business process for a certain order receiving company. Of course, this can be selected even in a combination of a plurality of companies and a plurality of companies.
[0053]
FIG. 8 is a diagram illustrating a result output screen example 1 in the present embodiment, FIG. 9 is a diagram illustrating a result output screen example 2 in the embodiment, and FIG. 10 is a diagram illustrating a result output screen example 3 in the embodiment. As described above, the result of recognizing the match / mismatch of the business process for each business process and for each company and thereby evaluating the affinity between the collaboration companies is output to the output unit (output device) 102. This will be used to select a collaboration company.
[0054]
In the attribute information input screen 500, if a plurality of companies are selected as a result of a search based on the attribute information without individually specifying a collaboration company, or if a plurality of companies are individually specified, a result output screen As shown at 800, there are a plurality of assumed collaboration companies 801. The result of executing the above-described collaboration company selection process for each of the assumed collaboration companies 801 is the affinity determination result 802. Here, the points obtained by each company and the level determined according to the points are shown, and the highest-level company 803 is clearly indicated by underlining. Further, selection advice 804 is displayed for each company. For a company "C Co., Ltd." that has obtained the highest points at level 5, selection advice such as "optimum" is associated.
[0055]
On the other hand, in the attribute information input screen 500, as a result of the search based on the attribute information without individually specifying the collaboration companies, only one company is selected, or when only one company is individually specified. As shown in the result output screen 900, the assumed collaboration company 901 is singular. The result of executing the above-described collaboration company selection process for the assumed collaboration company 901 is the affinity determination result 902. Here, the points obtained by the company 901 and the level determined according to the points are shown. Further, a selection advice 903 corresponding to the determination result is displayed. For example, for “A Corporation” that has obtained 10 points at level 3, a selection advice that “the collaboration should be forgotten if otherwise” is associated.
[0056]
On the other hand, there may be a situation in which the collaboration companies are not evaluated for affinity only from one side such as order placement or order reception, and companies that are suitable to be combined with each other as collaboration companies are selected. In this case, the results of the affinity evaluation performed for each of the plurality of companies individually designated on the attribute information input screen 500 or the plurality of companies searched according to the attribute information designated on the screen 500 are displayed on the screen 1000. Show.
[0057]
This screen 1000 shows the affinity determination result 1002 obtained by executing the above-described collaboration company selection processing for the assumed collaboration company group 1001. Here, the points (or the levels determined accordingly) obtained by the respective companies 1001 are displayed in a matrix according to the combination of collaborations. As an example, the order receiving side and order receiving side constitute the vertical axis and the horizontal axis of the matrix. In the example in the figure, the affinity between the company C and the company F is the highest at "18 points", and the matrix frame 1003 is clearly indicated by highlighting, for example.
[0058]
The screen 1000 further shows advice 1004 based on the determination result 1002. For example, with respect to the best combination in the matrix, "the ordering side: Company C, order receiving side: Company F", advice is provided to the effect that the combination is optimal, and "Ordering side: Company C, order receiving side" : Company E "also shows high affinity and can be a suitable combination. As described above, the affinity between the collaboration companies is determined, and is presented to the user in an appropriate output form.
[0059]
According to the embodiment of the present invention, the following effects can be obtained.
Select a collaboration company with a good affinity for business processes to facilitate smooth and efficient business execution and ensure the quality and delivery of deliverables. This will help you select the right collaboration company and minimize the likelihood that your collaborative project will cause problems.
[0060]
As described above, the embodiment of the present invention has been specifically described based on the embodiment. However, the present invention is not limited to this, and can be variously changed without departing from the gist of the invention.
[0061]
【The invention's effect】
According to the present invention, it is possible to provide a collaboration company selection method capable of selecting an appropriate collaboration partner.
[Brief description of the drawings]
FIG. 1 is a diagram illustrating a configuration example of a collaboration company selection system according to an embodiment.
FIG. 2 is a diagram illustrating a configuration example of a business process affinity evaluation unit between collaboration companies in the present embodiment.
FIG. 3 is a diagram illustrating a configuration example of business process data according to the embodiment.
FIG. 4 is a diagram illustrating an example of an algorithm of a collaboration company selection method according to the embodiment.
FIG. 5 is a diagram showing an example of an attribute information input screen according to the embodiment.
FIG. 6 is a diagram showing a setting table example 1 of attribute items and grant points according to the embodiment.
FIG. 7 is a diagram illustrating a setting table example 2 of attribute items and grant points according to the embodiment.
FIG. 8 is a diagram illustrating a result output screen example 1 according to the present embodiment.
FIG. 9 is a diagram showing a result output screen example 2 in the embodiment.
FIG. 10 is a diagram showing a result output screen example 3 in the embodiment.
[Explanation of symbols]
100 Collaboration Company Selection System
101 Input unit
102 Output unit
105 arithmetic means
110 Past Performance Evaluation Department
120 Collaboration Enterprise Business Process Evaluation
121 Process Evaluation Database
130 Business Process Affinity Evaluation Department between Collaboration Companies
131 Business Process Data Acquisition Unit
132 Business process database
133 Business Process Affinity Evaluation Department
301 Business process data
302 Project life cycle data
303 Phase data
304 Work content data
305 period data
306 Information exchange form data
307 Information exchange frequency data
308 Desired priority data
309 Specification change method data
310 Report index data
311 Specification freeze timing data
500 Attribute information input screen
600, 700 Setting table of attribute items and grant points
800, 900, 1000 Result output screen

Claims (8)

A method of selecting an appropriate collaboration partner using a computer system when collaborating between companies,
A step in which the computer system receives, from the input device, a company selection request including the attribute information of the collaboration company or the attribute information of the collaboration content;
A step of comparing attribute information included in the company selection request with a database storing information on business process processes in association with each company, and extracting relevant business process information;
Collating the extracted business process information between the collaborating companies and recognizing the degree of matching;
Determining the affinity of the collaboration company according to the recognized degree of matching;
Outputting the affinity determination result to an output device;
A collaboration company selection method characterized by including: The business process information includes at least one of a form of information exchange performed on a business, a frequency of the information exchange, an opportunity or condition for performing a business report, and a method or a condition for changing specifications during development of a product or service. 2. The method according to claim 1, wherein the information is compared between the collaboration companies, and the degree of coincidence of each information is recognized. In recognizing the degree of matching, points are added for each matching item between the business process information to be compared, and the number of points is corrected as it is or according to the weight set for each matching item, and the affinity is determined based on the number of points. The collaboration company selection method according to claim 1, wherein a sex determination process is performed. A computer system for selecting an appropriate collaboration partner when collaborating between companies,
Means for receiving, from the input device, a company selection request including the attribute information of the collaboration company or the attribute information of the collaboration content;
Means for extracting attribute information included in the company selection request against a database storing information on business process processes in association with each company, and extracting relevant business process information;
A means for comparing the extracted business process information between collaboration companies and recognizing the degree of matching,
Means for determining the affinity of the collaboration company according to the recognized degree of matching;
Means for outputting the affinity determination result to an output device,
A collaboration company selection system characterized by including: The business process information includes at least one of a form of information exchange performed on a business, a frequency of the information exchange, an opportunity or condition for performing a business report, and a method or a condition for changing specifications during development of a product or service. The collaboration company selection system according to claim 4, further comprising means for comparing information between collaboration companies and recognizing the degree of coincidence of each information. In recognizing the degree of matching, points are added for each matching item between the business process information to be compared, and the number of points is corrected as it is or according to the weight set for each matching item, and the affinity is determined based on the number of points. 5. The collaboration company selection system according to claim 4, further comprising means for executing gender determination processing. A program for causing a computer to execute a method of selecting an appropriate collaboration partner when collaborating between companies,
Accepting a company selection request including attribute information of a collaboration company or attribute information of collaboration content from an input device;
A step of comparing attribute information included in the company selection request with a database storing information on business process processes in association with each company, and extracting relevant business process information;
Collating the extracted business process information between the collaborating companies and recognizing the degree of matching;
Determining the affinity of the collaboration company according to the recognized degree of matching;
Outputting the affinity determination result to an output device;
A collaboration company selection program characterized by including: A computer-readable recording medium recording the collaboration company selection program according to claim 7.

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