CN105574680A

CN105574680A - Diagnosis method and system of enterprise competitiveness

Info

Publication number: CN105574680A
Application number: CN201510987053.1A
Authority: CN
Inventors: 刘跃中
Original assignee: Urumqi Sanliyuan Productivity Promotion Center Co Ltd
Current assignee: Urumqi Sanliyuan Productivity Promotion Center Co Ltd
Priority date: 2015-12-27
Filing date: 2015-12-27
Publication date: 2016-05-11

Abstract

The invention discloses a diagnosis method and a system of the enterprise competitiveness. The method is characterized in that the method includes following steps: step of establishing a diagnosis system: establishing a three-grade diagnosis system of enterprise competitiveness diagnosis; step of establishing sub-databases formed by diagnosis problem description options related to three-grade diagnosis index factors and corresponding diagnosis state options and a calibration database; step of defining each grade of diagnosis indexes; step of defining the sub-databases; step of making an enterprise competitiveness diagnosis process from human-machine dialogue to diagnosis structure display; step of designing a random display device; step of designing a calibration device; step of designing a grading diagnosis device; step of establishing a competitiveness diagnosis result radar chart; and step of establishing a competitiveness diagnosis conclusion report. According to the method and the system, based on Porter industry competitiveness diagnosis theory, convenient, comprehensive, and systematic competitiveness diagnosis tools are provided for people in need of enterprise competitiveness or enterprise state, innovation and accuracy are provided, and the market prospect is wide.

Description

A kind of method and system of enterprise competitiveness diagnosis

Technical field

The present invention relates to enterprise management tool application, the method and system of specifically a kind of enterprise competitiveness diagnosis.

Background technology

Competitiveness diagnosis is just started development in modern age after theory of business management is full-fledged as a business administration diagnostic method technology, experienced by following several stage: the first stage is the Five-forces model method and the Analysis on Enterprise Strategy method SWOT analysis method that puts forward the same period of University of San Francisco management professor that propose for enterprise competitiveness in " competitive strategy " the beginning of the eighties with Harvard managerial expert michael porter, these two kinds of methods obtain extensively to be approved and becomes the management tool of contemporary comparatively popular analysis o f competitive capacity, subordinate phase is until modern age is baud systematically proposed the diagnostic method of inter-industry competition ability first in " countries competition strategy " in 86 years and propose famous " Diamonds Theory Model " and competitive power concept, inter-industry competition merit rating principle, diagnostic method, and the countries competition capability analysis diagnosis that its team does is more accurate than competitiveness diagnosis in the past, and tens developed country areas obtain real example checking in west, and, applied research with regard to diamond theory technology continues deeply to carry out in countries in the world, providing support widely for each field, with regard to the diagnosis of inter-industry competition ability, the inter-industry competition capability analysis evaluation method of diamond theory is extensively approved and is quoted in the world, and at enterprise competitiveness diagnostic field, not systematic theory and method occur both at home and abroad.

In enterprise diagnosis field, because the limitation of management theory development and the urgent of demand, derive different evaluation diagnostic models and method in different fields.As the enterprise of good standing that is representative with American National quality bonus evaluation model evaluates diagnostic model and with the responsible investigation model of financial diagnostic, true reflection conditions of the enterprise, etc., its core technology is exactly system management method, process approach, sample technique, degree of ripeness technology and real example technology etc. enterprise management method and technology; U.S.'s quality bonus model obtains different development in various countries, derives the national quality medal such as Japanese, Chinese, for the pattern of rewarding and guide enterprise outstanding; The instrument that responsible investigation develops into enterprise annexation and recombination, the investor of investment behavior investigates conditions of the enterprise, for careful investigation is carried out in the behaviors such as investment, restructuring, the technology such as the investigation of application real example, sample technique, systems approach, for assessment of the value and risk of targeted company.These two kinds of methods are all in practical application; With regard to purposes and object, these two methods and enterprise competitiveness diagnostic method widely different, but Dou Shi expert group is by corresponding evaluation diagnostic rule and the methods of sampling, real example technology, formulate diagnosis scheme, on-the-spot acquisition evidence, artificial calculating obtains result, and to analysis of survey results, and then draw the conclusion of different purposes.

At home, the representational enterprise core competence nine power model being Shanghai Communications University professor Yu Mingyang and proposing for 2003 of most is diagnosed for enterprise competitiveness; And the two class competitive power space formation of University of Fuzhou professor Wang Bingan, think and to be made up of hard core competitiveness and soft core competitiveness.Etc..Be characterized in the model according to setting and structure, formulate index, by expert group's scene sampling sampling, the service data winning enterprise, calculate the evaluation number obtaining Competition power of core of enterprise.But, the computation model of domestic Competition power of core of enterprise model specification, Competition power of core of enterprise definition existence subjectivity in actual applications rule and setting is loaded down with trivial details, data take limited defect, cause the reliability of evaluation conclusion and guiding significance not strong, lacking extensively checking, there is the problems such as objection in competition diagnosis.

Current technology as the industry evaluation method of the Five-forces model method of baud, SWOT analysis method, baud and theory, American National quality bonus evaluation model, responsible investigation model and nine domestic power models, two power models all cannot convenient, system, make enterprise competitiveness diagnostic result accurately; Therefore, the convenience of solution enterprise competitiveness diagnosis, systematicness, accuracy problem are the emphasis that this patent is paid close attention to, and a kind of systems approach that is convenient, comprehensive, Accurate Diagnosis enterprise competitiveness has just highlighted its urgent demand for ordinary enterprises.

Summary of the invention

The object of the present invention is to provide a kind of convenient, comprehensively and accurately enterprise competitiveness diagnosis method and system, to solve the problem proposed in above-mentioned background technology.

For achieving the above object, the invention provides following technical scheme:

A method for enterprise competitiveness diagnosis, comprises the following steps:

1) establishment step of diagnosis system: the three grades of diagnosis systems setting up enterprise competitiveness diagnosis, are respectively one-level 6 DOF degree diagnosis index and set up step, secondary diagnosis index planning and design step and take competitiveness weight determining step, three grades of diagnosis index planning and design steps and take competitiveness weight determining step;

2) diagnosis problem related to by three grades of diagnosis index factors describes subdata base, the calibration data base establishment step that option and corresponding diagnostic state option form;

3) diagnosis index definition step at different levels;

4) subdata base definition step.

Described diagnosis system establishment step: be used for setting up enterprise competitiveness diagnostic model with inter-industry competition diagnostic method, process approach and method for managing system technology:

1) described one-level 6 DOF degree diagnosis index with six key elements of baud diamond theory for foundation, i.e. production factors, demand condition, relevant supportive industries, corporate strategy structure and competition, government, opportunity, utilize process approach, method for managing system planning and design covering enterprise competitiveness factor primary diagnosis index, primary diagnosis index comprises:

The application of A1 production factors and innovation;

The A2 market demand and impact;

A3 related industry and supportive industry;

A4 strategy, management and race condition;

A5 opportunity chance and utilization;

A6 administration and business environment;

Factor independently exists and influences each other by equal equal weight again, and one-level 6 DOF degree diagnosis index sets weight 100 points respectively;

2) described secondary diagnosis index planning and design step and take competitiveness weight determining step, three grades of diagnosis index planning and design steps and take competitiveness weight determining step: based on enterprise competitiveness 6 DOF degree diagnosis index demand, utilizes process approach, inter-industry competition diagnostic techniques, weights influence technology to set up the further sub-structure affecting enterprise competitiveness factor; Set up 17 secondary diagnosis indexs and corresponding three grades of diagnosis indexs, realize the comprehensive and systemic of enterprise competitiveness diagnosis index; Primary diagnosis index, secondary diagnosis index and three grades of diagnosis indexs are designated as Ai, Aij and Aijk respectively, wherein i > 0, j >=0, k >=0;

Described secondary diagnosis index and weight comprise:

A11: demand of human resources and application, 20%;

A12: natural resources supply and application, 20%;

A13: professional technique ability and development, 20%;

A14: capital and capital are applied, 20%;

A15: infrastructure is mated with demand, 20%;

A21: core demand and requirement, 50%;

A22: anticipated demand and impact, 50%;

A31: upstream technology and supply, 50%;

A32: supporting industries and promotion, 50%;

A41: management strategy and management, 50%;

A42: horizontal competition and advantage are innovated, 50%;

A51: industry demand environment machine can utilize, 25%;

A52: industry development chance and utilization, 25%;

A53: industry policy chance and utilization, 25%;

A54: local industrial chain enterprise opportunity and utilization, 25%;

A61: industrial chain administration and ability, 50%;

A62: industrial chain develops, 50%;

3) described three grades of diagnosis indexs and weight comprise:

A111: demand of human resources with meet ability, 50%;

A112: human resources environment and innovation environment, 50%;

A121: source material product phase demand and innovation, 25%;

A122: production & marketing land supply and innovation, 25%;

A123: water and electricity supply and innovation, 25%;

A124: environmental geography and innovation, 25%;

A131: professional technique research and product development, 50%;

A132: professional technique fundamental research and innovation, 50%;

A141: capital requirement is evaluated with supply, 50%;

A142: capital circulation and application, 50%;

A151: infrastructure needs and present situation, 50%;

A152: the infrastructure epoch adapt to, 50%;

A211: product demand and provisions of laws and regulations, 50%;

A212: industrial chain development and product orientation, 50%;

A221: the demand expection of industrial chain product area, 50%;

A222: demand response and impact, 50%;

A311: equipment and annex and promotion, 50%;

A312: raw material supply and promotion, 50%;

A321: service support demand and promotion, 50%;

A322: assistance application product and promotion, 50%;

A411: business strategy and environment, 20%;

A412: enterprise development impression, 20%;

A413: enterprise management efficiency, 20%;

A414: key control is closed in business administration, 20%;

A415: target completes, 20%;

A421: assess in industry cluster ability and industry, 40%;

A422: industry cluster competitive environment is evaluated, 30%;

A423: industry diffusivity and promotion, 30%;

A521: industry development offers an opportunity ability, 50%;

A522: industry development chance Utilization ability, 50%;

A531: industry policy expection opportunity ability, 50%;

A532: industry policy Utilization ability, 50%;

A541: local industrial chain chance ability, 50%;

A542: enterprise opportunity Utilization ability, 50%;

A611: industrial chain government administration is expected, 50%;

A612: industrial chain laws and regulations and promotion, 50%;

4) described subdata base establishment step: utilize inter-industry competition ability judgment criterion and method, management guideline and process approach, maps status technology, the content that inspection sample technique relates to diagnosis factor at different levels is from objective requirement, management process, competition diagnosis, the process of result and innovation, planning and design 530 diagnose option and corresponding state options, diagnosis subdata base is divided into for constructing three grades of indexs, three grades of index Aijk divide into and describe option by diagnosis problem and diagnostic state option corresponding with it forms subdata base, diagnose option is corresponding relevant to diagnosis coefficient, diagnosis coefficient and diagnostic result is obtained after determining diagnose option, described calibration data base establishment step: diagnosis subdata base is combined with diagnosis system structure and forms diagnostic-calibration database,

5) described diagnosis index definition step at different levels: enterprise competitiveness merges score value for enterprise competitiveness total value with first class index, and assignment, with centesimal system, is designated as M, competitiveness subitem score value at different levels is Mijk, wherein i > 0, j >=0, k >=0;

6) described subdata base definition step: subdata base is defined as Tijk, wherein i > 0, j >=0, k >=0; Diagnose option state subgroup database is Qijk, wherein i > 0, j >=0, k >=0; Each three grades of diagnosis index optional matter term No.s are Aijk-n, wherein i > 0, j >=0, k >=0, n >=0; Each diagnosis problem option clause gives decile 10 points of assignment, give centesimal system assignment to each three grades of index total scores, diagnose option state subgroup database Qijk forms subdata base Tijk with corresponding optional matter clause Aijk-n, wherein i > 0, j >=0, k >=0.

As the further scheme of the present invention: utilize degree of ripeness technology, the diagnostic elements at different levels of system and the enterprise operation state real diagnosis of diagnosis problem option are selected, diagnostic system is diagnosed enterprise competitiveness actual influence weight, each diagnose option problem and optional matter degree of ripeness situation by diagnostic elements at different levels, and show enterprise competitiveness situation with the statement of degree of ripeness technology, comprising: diagnosis problem state degree of ripeness establishment step; Diagnostic elements competitiveness degree of ripeness establishment step at different levels; The establishment step of degree of ripeness calculation procedure at different levels and expression meaning; The establishment step of degree of ripeness result of calculation physical significance at different levels;

1) diagnosis problem option state degree of ripeness establishment step: according to maturity theory and Capability Maturity Model, degree of ripeness is all adopted to divide to the disposal of things or thing, display operational excellence state is set in diagnose option index state, general state and the bad option of running status, or display does not have official method in the process class diagnosis index of event disposal, there is the method for reply formula, there is formally stable systems approach, pay attention to Continual Improvement, reach the option of best running rank, according to classification, at individual event diagnose option state set condition, coefficient is set to three kinds or five kinds of Status Level options, use numerical value 0.8 respectively, 0.5, 0.3 or 1.0, 0.8, 0.6, 0.4, 0.2 represents, represent the physical significance of diagnose option index corresponding diagnosis problem option competitiveness,

2) diagnostic elements competitiveness degree of ripeness establishment step at different levels: according to inter-industry competition ability diagnostic techniques method, process approach, weights influence real example, the main points key element of diagnosis system impact is segmented, diagnostic elements at different levels adopts the evaluation of degree of ripeness method to the impact of competitiveness, the option that display operational excellence state, general state and running status are bad is set in diagnostic elements result of calculation at different levels, sets with numerical value 0.8,0.5,0.3;

3) establishment step of degree of ripeness calculation procedure at different levels and expression meaning: three grades of diagnostic elements are divided into multiple diagnosis problem and described option, select to form with diagnose option problem state and diagnose subdata base, in diagnosis subdata base, be set as 10 points to each diagnose option problem clause diagnosis score value, each diagnosis problem describes the maturity coefficient that option condition selecting determines this option; It is Mijk'-n that each three grades of diagnosis problem describes the actual obtaining value of option, wherein i > 0, j >=0, k >=0, n >=0; The diagnosis problem that Mijk'-n equals 10 points of * acquisitions describes option coefficient of regime; It is Mijk-n that the actual diagnosis of each three grades of diagnostic elements obtains competitiveness diagnostic value, wherein i > 0, j >=0, k >=0, n >=0; N is that diagnosis problem describes option number, diagnostic value Mijk=10*Mijk'/diagnosis bar amount of money; The evaluation of Mijk'=∑ 10* diagnose option divides; Judgement person, according to enterprise operation state and management method, chooses and meets each diagnose option selection mode that enterprise competitiveness optional matter describes option, obtains the competitiveness contribution margin of diagnose option problem, and obtains three grades of diagnostic elements competitiveness contribution margins; According to the weight that element at different levels is contributed competitiveness, after all diagnosis problem options have been selected, three grades of competitiveness numbered Mijk* respective weights, i.e. Mij=∑ Mijk* tri-grades of weight coefficients, Mi=∑ Mij* secondary weight coefficient, M=∑ Mi* one-level weight coefficient, M is the absolute value of enterprise competitiveness, and element competitiveness contribution margin at different levels calculates with percentage;

4) establishment step of degree of ripeness result of calculation physical significance at different levels: according to degree of ripeness technical requirement, the state of degree of ripeness reflection competitiveness, competitiveness score value is higher, and competitiveness contribution margin is larger; Diagnosis problem option clause Aijk, Aij and Ai score value that three grades of diagnostic elements relate to is higher, illustrates that the contribution margin of this option to diagnostic elements competitiveness is larger; The numerical value that corresponding diagnostic elements diagnosis at different levels calculates score value Mijk, Mij and Mi is larger, then represent that diagnostic elements is larger to competitiveness contribution margin; M value is larger, illustrate that enterprise competitiveness is stronger, otherwise competitiveness is less; Diagnostic elements competitiveness score value at different levels is expressed as: 100 >=Mijk >=80 point represent that competitiveness is fine; 80 > Mijk >=60 point represent that competitiveness is good, 60 > Mijk >=40 part represent that competitiveness is general, 40 > Mijk >=20 part represent that competitiveness is not enough, 20 > Mijk >=0 point represent famine competitiveness; 100 >=Mij >=80 point represent that competitiveness is fine; 80 > Mij >=60 point represent that competitiveness is good, 60 > Mij >=40 point represent that competitiveness is general, 40 > Mij >=20 point represent that competitiveness is not enough, 20 > Mij >=0 point represent famine competitiveness; 100 >=Mi >=80 point represent that competitiveness is fine; 80 > Mi >=60 point represent that competitiveness is good, 60 > Mi >=40 point represent that competitiveness is general, 40 > Mi >=20 point represent that competitiveness is not enough, 20 > Mi >=0 point represent famine competitiveness; 100 >=M >=80 point represent that competitiveness is fine; 80 > M >=60 point represent that competitiveness is good, 60 > M >=40 point represent that competitiveness is general, 40 > M >=point expression 20 competitiveness are not enough and 20 > M >=0 famine competitiveness.

As the present invention's further scheme: competitiveness diagnostic result shows with data mode, for graphic display competitiveness provides basis, enterprise competitiveness diagnosis shows in the mode of radar map, advises for the diagnostic elements of competitiveness deficiency and diagnose option simultaneously; Competitiveness diagnostic result radar map establishment step comprises: diagnosis problem option suggestion establishment step and competitiveness diagnosis report establishment step;

1) competitiveness diagnostic result radar map establishment step: be used for setting up enterprise competitiveness with inter-industry competition ability diagnostic method, process approach and method for managing system and diagnose six dimensional model, sextuple degree index is set as respectively:

The application of A1 production factors and innovation;

The A2 market demand and impact;

A3 related industry and supportive industry;

A4 strategy, management and race condition;

A5 opportunity chance and utilization;

A6 administration and business environment;

Management method according to system judges that sextuple degree index influences each other, and meet method for managing system and graphic demand by affecting impartial weight definition to competitiveness, competitiveness radar map establishes six dimensions, forms six dimensions respectively by Ai; Ai value is competitiveness diagnosis level element score value Mi, and Mi score value assignment is centesimal system; Every dimension Ai unit is set to 0,20,40,60,80,100; The each dimension diagnostic value of the reality that display figure is connected by solid line, simultaneously in the total value of radar map display enterprise competitiveness, M=∑ Mi;

1.1) diagnosis problem option suggestion establishment step: setting up of diagnose option problem clause relates to content with process control method and inter-industry competition ability diagnostic method three grades of diagnostic elements, environmental requirement describes, process management requires to describe, competition diagnosis requires to describe, result is set up with innovation description order, different diagnosis problem options is defined with process classification in subdata base, three grades of diagnosis problem option Aijk-n define different content by procedural nature, when ejusdem generis diagnosis clause diagnosis numerical value and ∑ Aijk-n are less than item time n*10*40%, three grades of diagnostic elements marks gather conclusion and occur the competitiveness deficiency content that respective process describes, realize diagnostic recommendations needs, in like manner, secondary diagnosis there will be the not enough content of secondary element diagnosis competitiveness, primary diagnosis there will be the not enough content of competitiveness, enterprise competitiveness diagnostic elements there will be the not enough content of corresponding competitiveness, in like manner, when diagnosis numerical value evaluation of estimate secondary to item, there will be competitiveness and meet content,

1.2) competitiveness diagnosis report establishment step: based on diagnosis score value at different levels, to Mijk at different levels, formed by competitiveness maturity classification, show with diagnose option, three grades of diagnostic elements, secondary diagnostic elements, primary diagnosis element, enterprise competitiveness diagnostic sequences.

As the present invention's further scheme: the method for described enterprise competitiveness diagnosis also comprises: start with man-machine conversation, and the enterprise competitiveness diagnostic process to diagnostic result display formulates step; Stochastic display design procedure; Calibrating installation design procedure; Grading diagnosis apparatus design step;

1) enterprise competitiveness diagnostic process is formulated and is comprised the following steps:

1.1) user is at the computer interface of oneself, log in online competitiveness diagnostic software, it is company manager that user requires, the investor being familiar with enterprise, supervision person and other personnel that can make accurate judgment to enterprise diagnosis option, user operation equipment requirement is can the touch-screen type computing machine of wire net or common computer, have printing demand need connect printer;

1.2) user's registration, presses national industry classification standard determination enterprises ' industry attribute on request; Fill in enterprise name, enterprise's major product, region, principal market etc.; Fill in belonging to enterprise local, fill and present local district rank; Fill in post belonging to diagnostic personnel, position; Diagnostic Time, the date; Submit enterprise competitiveness diagnosis application to;

1.3) subscriber data filled in by user of diagnostic software, feedback diagnostic software server, server files to enterprise's essential information, verify, and after verifying approval, server transmits diagnostic data bag to user;

1.4) diagnostic software utilizes random diagnosis display device to describe and diagnostic state option at user interface random display diagnosis problem, and user, according to the actual operation state of enterprise, chooses wherein one in diagnostic state option; State options has two kinds of patterns, and one is three options, and one is five options, and user chooses after Interface Options terminates, and clicks the next item down and enters more multi-option; Until cut-off OK terminates, submit diagnostic-calibration to;

2) stochastic display design procedure: stochastic display is extracted display module, diagnostic data memory module and diagnostic data accordance judge module formed by computing method functional module, diagnostic data bag module, packet data;

2.1) random display computing method module utilizes diagnosis date to input to select frame sort to export with option display order, state to calculate variable and dependent variable method as function and sequentially show diagnose option and state options sequentially, when diagnosis date changes, option display order and state are selected frame to sort and are done function; After realizing diagnosis date variation, display order changes, but the logical relation that diagnosis problem describes and state is corresponding is constant; To reduce the error of Stochastic choice, improve the function of diagnostic accuracy;

2.2) diagnostic data bag module is based on the subdata base diagnosing all three grades of diagnostic elements corresponding, reject assignment and procedural nature in subdata base, comprise diagnosis problem description encoding, optional matter describes and selects frame to encode, complete diagnosis user apply for and pass, automatically sending subscriber computer by server provides diagnosis problem to input, realize diagnosis problem describe and state select the independent fast transport function of frame;

2.3) packet data extracts display module, and the single particular diagnosis problem in packet data that realizes describes and state options is extracted item by item, and makes Presentation Function on a display screen.

2.4) diagnostic data memory module, to set up storage unit in subscriber computer buffer memory, according to subdata base structure store successively diagnosis problem description encoding, diagnostic state coding, send when completing diagnosis store uploading instructions function or realize interrupt diagnosis interim storage, again continue diagnostic function continuously;

2.5) diagnostic data accordance judge module, realize choosing the integrality of lower diagnostic state coding input to diagnostic state and correctness carries out Logic judgment, incorrect or imperfect to input information, the automatic diagnosis problem that will not meet describes and collects, by not completing the random Presentation Function again of diagnose option;

2.6) chosen in diagnosis problem description and state, and after meeting the requirement of diagnostic data bag, user submits diagnosis application to, and uploads diagnostic data bag, accepting diagnostic data after calibrating installation completes competitiveness diagnosis simultaneously;

3) calibrating installation design procedure: calibrating installation is user's enterprise competitiveness diagnosis core apparatus, after user submits diagnostic data to, automatically implement enterprise competitiveness diagnostic-calibration by flow process and calculate, calibrating installation is by diagnostic techniques planning module, diagnostic data base architecture design module, log in planning and design module, memory parameter and login path setting module, standard database sets up module, data base calibration judge module, input and output port module, grading diagnosis apparatus module, result correction verification module, output diagnostic module and diagnosis require that planning module forms, and guarantee that diagnostic result and standard database comparison obtain the application of the method for enterprise competitiveness numerical value, guarantee normative construction normal data library module, upgrade the application of the systems approach of database module, guarantee diagnostic data input and output, detect and check, the application in the alignment path of diagnostic result and method and diagnostic result output intent and path, realizes multi-user's quick diagnosis typing simultaneously, data are transmitted, multi-user diagnostic, enterprise diagnosis packet in the technical requirement realization of quick feedback diagnostic result and diagnostic procedure, the realization that diagnostic software server security guard technology requires,

3.1) diagnostic techniques planning module is the nucleus module of enterprise competitiveness method, be the technical scheme open-loop design module realizing diagnostic method, diagnosed by diagnostic method technology set and system, display convenient, directly perceived, real examples etc. such as inter-industry competition ability diagnostic method, process control method, method for managing system, degree of ripeness technology, image technology, comparison technology, sample specification, sample technique, real example technology, computing method, random function, large data and require that set forms; The conclusion of diagnostic method technical matters, the design optimization of diagnostic method technology path and the technical requirement of technical method renewal can be realized, realize diagnostic method solution effect and improve constantly the function judging precision.And realize the function constantly improving diagnostic techniques scheme and raising diagnosis effect;

3.2) diagnostic data base structure module is the core planning module of diagnostic method diagnostic techniques application, to meet the technical requirement that diagnostic data base meets Data classification, computing, statistics, comprise database packet design, design of database system, subdata base design, subdata base code Design, subdata base diagnosis item requirement design, the character design of diagnosis item and database interface design content, be ensure diagnostic data full storage, conveniently to call, the functional module of scientific statistics;

3.3) log in planning and design module, realize multitask, quick diagnosis function is logging in the planning and design requirement of path, transfer instruction, while ensureing online multi-user, diagnosis needs function;

3.4) server memory parameter and login path setting module, realize the technical requirement of data-directed specification input and output, be ensure that the classification of batch user diagnostic data stores needs, be large data diagnosis needs, realize diagnosis user and transfer diagnostic data function at any time;

3.5) standard database sets up module, is the core of calibrating installation, is the instrument of diagnostic method comparative diagnoses after diagnostic data bag input server, is made up of diagnosis system and three grades of diagnostic element subdata bases, management method is performed by external management expert system, diagnostic method, real example technology describes setting to database each option diagnosis problem option, state options competitiveness coefficient is set, different competitiveness numerical value is given to enterprise operation different conditions, and press database structure process setting procedural nature, a formation system, each problem option is clear, state assignment meets the curing data storehouse of the sample of competitiveness diagnosis, realize diagnostic data bag Comparison calibration needs, and obtain diagnosis score value, systems approach and the technological synthesis realization of enterprise competitiveness diagnostic method, realize diagnostic data bag diagnostic function and diagnostic method more New function,

3.6) data base calibration judge module is the functional module being judged input diagnostic data bag integrality, judged standard database validity, realize the calibration function of data detection function and the standard database entered by input port, and realize sending requirement to enterprise diagnosis packet grading diagnosis;

3.7) grading diagnosis device is the core apparatus that diagnosis calculates and diagnostic result exports, be made up of three grades of diagnostic elements computing modules, the diagnosis of secondary element computing module, primary diagnosis element computing module and sextuple degree radar map output module, competitiveness diagnostic result output module, realize the calculating of option diagnostic result at different levels and the output requirement of diagnostic result;

3.8) result correction verification module is the functional module of verify calculation result, is verified result of calculation and output according to sextuple degree radar map model and enterprise competitiveness result output mode;

3.9) export diagnostic module to be judged resultant content, in the mode of prompting to grading diagnosis device is submitted to the content not meeting diagnosis, and do enterprise diagnosis prompting on the server, realize simultaneously to the storage document of enterprise diagnosis data guide set up assign command function;

3.10) enterprise diagnosis database is one of server stores function, is the basis of the large market demand of diagnostic method.After enterprise diagnosis database instruction is set up in acceptance, set up enterprise diagnosis document and guide, and enterprise diagnosis data are preserved in classification; Realize having diagnosed the preservation of enterprise diagnosis data, having utilized function.

3.11) user's diagnostic result memory module is the functional module accepting diagnostic result, realizes the function pointing out diagnostic software information, diagnostic result to accept to user simultaneously.

3.12) result display print module is the functional module of figure display enterprise competitiveness diagnostic result, simultaneously when there being printing demand, submits print command to.

Compared with prior art, the invention has the beneficial effects as follows:

1) based on baud inter-industry competition ability diagnosis theory be enterprise competitiveness or enterprise status demander provide one convenient, comprehensively, the competitiveness diagnostic tool of system, in business administration diagnostic application field, there is novelty, what the present invention adopted is online rating system, by the supvr being familiar with enterprise, the relative that investor or enterprise competitiveness are paid close attention to is directly under online system, system, all sidedly enterprise competitiveness situation is diagnosed, for diagnosis person, to provide one more accurate first, more comprehensively, more convenient, there is the diagnostic tool of real example effect.By contributing to, relative is accurate, system, the present situation understanding enterprise development all sidedly and the development that it is expected to, and for decision-making provides real foundation, improves investment, the accuracy of management decision and the stability expection of enterprise development; Enterprise takes the ability of correct decisions;

2) another effect of enterprise competitiveness diagnosis is the in-depth investigation and application to baud " countries competition strategy " diamond theory method, the use of patent can allow enterprise competitiveness supvr, the positive factor affecting competitiveness is widely understood by enterprise competitiveness participant and government, particularly be in economic transition in China, under greatly developing the macroscopic of New Economy, deep understanding and understand the factor affecting enterprise competitiveness, and improve consciously and promote the environmental factor affecting enterprise competitiveness, abatement offsets the environmental factor of enterprise competitiveness, Improving Government, company manager, social investment person improves positive orientation guide effect and the facilitation of enterprise competitiveness, and then improve the competitiveness of whole society further, for country and society contribute,

3) for the development of most of medium-sized and small enterprises provides path and the method for an autodiagnosis, Small and Medium Enterprises in China has colony widely, socioeconomic positive role is extensively approved, absorb employment colony, become national subject of tax payment, be social middle-of-the-road forces, meanwhile, be also the field that national government industry policy emphasis is supported; But for most of medium-sized and small enterprises, to self not system, easily implement of knowledge and diagnostic method, enterprise is applicable to being not suitable for development in locality, should not strengthen investment or economical saturated time should not to change the line of production etc. the accurate judgement instrument of needs and judgement; Development uncertainty is the maximum features of most of medium-sized and small enterprises, and therefore, the use of this patent, will provide a self diagnosis tool and method for vast medium-sized and small enterprises, and facilitate related side to carry out system autodiagnosis to the situation of enterprises; And the content that competitiveness size is enterprise to be paid close attention to the most.This diagnostic tool and method will provide accurate, convenient, a comprehensive and systematic diagnostic result for vast medium-sized and small enterprises, and represent in a graphical form, simultaneously while submission competitiveness consolidated return, submit the suggestion of the competitiveness promoted to, development determinacy is promoted to enterprise and plays important supporting function;

4) according to the theory of baud, the behavior measure of government to enterprise competitiveness because have very strong positive correlation, also some way presents negative correlation, but which is positive correlation, those are negative correlation, in action by government that is traditional and that using, there are larger mistaken ideas, there is darker impact the local government aspect particularly aiming at affecting this area economy on enterprise competitiveness size, this patent provides to industry the guide that identifies positive correlation effect and negative correlation effect in a straightforward manner, startup benign cycle is played to the promotion developed the economy in place, the influence of enterprise and social competition's ability,

5) raising of whole society competitiveness is promoted.Enterprise is the main body of society, and the competitiveness of the group of enterprises or industrial groups is directly connected to the competitiveness of entire society, also with regard to the living standard of the social groups of direct relation.Enterprise competitiveness promoting factor is guided using " The Competitive Advantage of Nations " diamond theory of baud as inter-industry competition ability abroad always, remains at home in uncertain analytical approach.The domestic industrial transformation that is at present and endeavouring is promoted to the crucial economic development period of local economic development level, capability improving factor of clearly promoting competition has strong directive significance.

Accompanying drawing explanation

Fig. 1 is standard database illustraton of model of the present invention.

Fig. 2 is diagnostic process of the present invention and calibrating installation fundamental diagram.

Fig. 3 is the fundamental diagram of grading diagnosis device of the present invention.

Fig. 4 is the fundamental diagram of stochastic display of the present invention.

Fig. 5 is enterprise competitiveness radar map of the present invention.

Embodiment

Be described in more detail below in conjunction with the technical scheme of embodiment to this patent.

Refer to Fig. 1-5, a kind of method and system of enterprise competitiveness diagnosis, comprise the following steps:

1) with the sextuple degree enterprise competitiveness diagnosis system model that the main points factor affecting inter-industry competition ability is set up for core, i.e. the application of A1 production factors and innovation; The A2 market demand and impact; A3 related industry and supportive industry; A4 strategy, management and race condition; A5 opportunity chance and utilization; The enterprise competitiveness diagnosis scheme that the sextuple degree diagnosis index models such as A6 administration and business environment are set up.The program can provide diagnostic result more comprehensively, improves system competition ability diagnostic accuracy.

2) based on enterprise competitiveness 6 DOF degree diagnosis index demand, process approach, inter-industry competition diagnostic techniques, weights influence technology is utilized to set up the further sub-structure affecting enterprise competitiveness factor, 17 secondary diagnosis indexs of foundation and several three grades of diagnosis indexs corresponding; And according to two-level index weight, three grades of index weights that inter-industry competition ability diagnostic method sets.

Secondary diagnosis index and weight as follows:

A11: demand of human resources and application, 20%; A12: natural resources supply and application, 20%; A13: professional technique ability and development, 20%; A14: capital and capital are applied, 20%; A15: infrastructure is mated with demand, 20%; A21: core demand and requirement, 50%; A22: anticipated demand and impact, 50%; A31: upstream technology and supply, 50%; A32: supporting industries and promotion, 50%; A41: management strategy and management, 50%; A42: horizontal competition and advantage are innovated, 50%; A51: industry demand environment machine can utilize, 25%; A52: industry development chance and utilization, 25%; A53: industry policy chance and utilization, 25%; A54: local industrial chain enterprise opportunity and utilization, 25%; A61: industrial chain administration and ability, 50%; A62: industrial chain develops, 50%.

Three grades of diagnosis indexs and weight as follows:

A111: demand of human resources with meet ability, 50%; A112: human resources environment and innovation environment, 50%; A121: source material product phase demand and innovation, 25%; A122: production & marketing land supply and innovation, 25%; A123: water and electricity supply and innovation, 25%; A124: environmental geography and innovation, 25%; A131: professional technique research and product development, 50%; A132: professional technique fundamental research and innovation, 50%; A141: capital requirement is evaluated with supply, 50%; A142: capital circulation and application, 50%; A151: infrastructure needs and present situation, 50%; A152: the infrastructure epoch adapt to, 50%; A211: product demand and provisions of laws and regulations, 50%; A212: industrial chain development and product orientation, 50%; A221: the demand expection of industrial chain product area, 50%; A222: demand response and impact, 50%; A311: equipment and annex and promotion, 50%; A312: raw material supply and promotion, 50%; A321: service support demand and promotion, 50%; A322: assistance application product and promotion, 50%; A411: business strategy and environment, 20%; A412: enterprise development impression, 20%; A413: enterprise management efficiency, 20%; A414: key control is closed in business administration, 20%; A415: target completes, 20%; A421: assess in industry cluster ability and industry, 40%; A422: industry cluster competitive environment is evaluated, 30%; A423: industry diffusivity and promotion, 30%; A521: industry development offers an opportunity ability, 50%; A522: industry development chance Utilization ability, 50%; A531: industry policy expection opportunity ability, 50%; A532: industry policy Utilization ability, 50%; A541: local industrial chain chance ability, 50%; A542: enterprise opportunity Utilization ability, 50%; A611: industrial chain government administration is expected, 50%; A612: industrial chain laws and regulations and promotion, 50%.

Above diagnosis index classification and weight setting are the bases of enterprise competitiveness quantitative Diagnosis, are the foundations improving diagnostic accuracy;

3) with inter-industry competition method, method for managing system, process approach, degree of ripeness technology and sample comparison method set up with sextuple degree diagnosis factor, three grades of competitiveness deagnostic structures and describe option and corresponding diagnostic state option with diagnosis problem and choose the systems approach that the competitiveness that formed with the comparison of Standard Competition ability diagnoses.

4) with inter-industry competition method, process approach, method for managing system and degree of ripeness technology, the enterprise competitiveness diagnosis problem set up by managerial expert describes option and diagnostic state selects set, determines the diagnostic method of enterprise competitiveness diagnostic base;

5) set up describe with the objective requirement description diagnosing factor related content to form, management engineering, compete diagnose describe, result and innovation describe the diagnosis problem formed and describe and corresponding state options sorting technique;

6) set up with degree of ripeness method as foundation, describe by degree of ripeness classification to diagnose option problem, by diagnostic personnel according to enterprise operation state, management method, real example technology determination degree of ripeness degree, determine diagnose option competitiveness contribution margin size, and and then determine the competitiveness diagnostic method of business impact competitiveness factor competitiveness value size;

7) setting up with sextuple degree diagnosis index is basic axle, the competitiveness display packing of the enterprise competitiveness being end points with sextuple degree competitiveness contribution margin diagnosis radar map;

8) set up and extract the stochastic display that form of display module, diagnostic data memory module and diagnostic data accordance judge module by computing method functional module, diagnostic data bag module, packet data, for the method that diagnosis problem describes the random display of option and diagnostic state option order and diagnostic data typing, interim storage, diagnostic data wrap biography;

9) foundation is set up module, data base calibration judge module, input and output port module, grading diagnosis apparatus module, result correction verification module, output diagnostic module and diagnosis required that planning module forms calibrating installation by diagnostic techniques planning module, diagnostic data base architecture design module, login planning and design module, memory parameter and login path setting module, standard database.Guarantee that diagnostic result and standard database comparison obtain the application of the method for enterprise competitiveness numerical value, guarantee normative construction normal data library module, upgrade the application of the systems approach of database module, guarantee diagnostic data input and output, detect inspection, the alignment path of diagnostic result and the application in method and diagnostic result output intent and path.

9-1) devise the technology path of diagnostic method, collected method and the diagnosis requirement of diagnostic system, established the self-promotion mechanism improving diagnostic accuracy;

9-2) devise the diagnostic data base be made up of system and subdata base, devise the subdata base structure based on three grades of diagnostic elements, given planning to database items time and item time content, item time content is followed successively by coding, diagnose option, degree of ripeness option coding, degree of ripeness description, item secondary quality etc.Provide that data store, call, the two-dimensional space of statistical function for diagnosis and diagnosis export;

9-3) plan multitask, quick diagnosis input and output path and ripe instruction, ensure the needs that multitask is diagnosed simultaneously;

9-4) plan server memory stored parameter and user's diagnostic data in enormous quantities classification storage space and storage architecture, met multi-user and transfer and large data diagnosis needs;

9-5) establish by external management expert system perform management method, diagnostic method, real example technology to database each option diagnosis problem option describe setting, state options competitiveness coefficient is set, different competitiveness numerical value is given to enterprise operation different conditions, and press database structure process setting procedural nature, that form a system, that each problem option is clear, state assignment meets the sample of competitiveness diagnosis curing data storehouse---standard database, standard database is made up of diagnosis system and three grades of diagnostic element subdata bases.Realize diagnostic data bag Comparison calibration needs, and obtain diagnosis score value.

9-6) utilize standard diagnostics packet to the diagnosis of input packet integrality;

10) the grading diagnosis device be made up of three grades of diagnostic elements computing modules, the diagnosis of secondary element computing module, primary diagnosis element computing module and sextuple degree radar map output module, competitiveness diagnostic result output module is established;

11) define with the heterogeneity of three grades of diagnostic data base diagnose option problem described projects, by the method that degree of ripeness number ratios screens, the congeniality option of degree of ripeness numerical value lower than the highest assignment 40% is concluded, advises by character section definition output competition scarce capacity; The congeniality option of degree of ripeness numerical value higher than the highest assignment 70% is concluded, by the suggestion that the section definition output competition ability of character is strong.In like manner, be less than mxm. 40% at enterprise competitiveness diagnosis total value M and award the suggestion of competitiveness deficiency; Be greater than 70% to the method for reporting strong with competitiveness;

12) stochastic display be made up of computing method functional module, diagnostic data bag module, packet data extraction display module, diagnostic data memory module and diagnostic data accordance judge module is established;

12-1) devise and select frame to sort using diagnosis date and option display order, state to calculate the sequencing display method of variable and dependent variable as function, when diagnosis date changes, option display order and state are selected frame to sort and are done function.After realizing diagnosis date variation, display order changes, but the logical relation that diagnosis problem describes and state is corresponding is constant.Decrease the error of Stochastic choice, add the accuracy of diagnosis;

12-2) devise the small-scale data pack transmission method comprising diagnosis problem description encoding, optional matter description and select frame coding composition, reduce the transmission quantity of individual consumer, improve diagnosis speed;

12-3) utilize subscriber computer caching function, realization sequentially display, diagnosis, interim storage and continuous diagnostic function.

12-4) devise diagnostic data bag comparison check link, screening input information, repeats diagnostic function automatically;

Fig. 5 shows the diagnostic result of the method and system that certain enterprise utilizes enterprise competitiveness of the present invention to diagnose, A enterprise PTS 397 points, percentage score value 67.33 points, wherein, production factors application and innovation 67 points, strategy, management and competition 92 points, administration and business environment 75 points, related industry and support industry 35 points, chance opportunity and utilize 85 points, the market demand and affect 50 points, the invention provides a kind of convenient, efficiently, enterprise competitiveness diagnostic method and system comprehensively and accurately, there is significant application prospect.

Above the better embodiment of this patent is explained in detail, but this patent is not limited to above-mentioned embodiment, in the ken that one skilled in the relevant art possesses, can also makes a variety of changes under the prerequisite not departing from this patent aim.

Claims

1. a method for enterprise competitiveness diagnosis, is characterized in that, comprise the following steps:

3) diagnosis index definition step at different levels;

4) subdata base definition step.

2. the method for enterprise competitiveness diagnosis according to claim 1, is characterized in that, described diagnosis system establishment step: be used for setting up enterprise competitiveness diagnostic model with inter-industry competition diagnostic method, process approach and method for managing system technology:

The application of A1 production factors and innovation;

The A2 market demand and impact;

A3 related industry and supportive industry;

A4 strategy, management and race condition;

A5 opportunity chance and utilization;

A6 administration and business environment;

Described secondary diagnosis index and weight comprise:

A11: demand of human resources and application, 20%;

A12: natural resources supply and application, 20%;

A13: professional technique ability and development, 20%;

A14: capital and capital are applied, 20%;

A15: infrastructure is mated with demand, 20%;

A21: core demand and requirement, 50%;

A22: anticipated demand and impact, 50%;

A31: upstream technology and supply, 50%;

A32: supporting industries and promotion, 50%;

A41: management strategy and management, 50%;

A42: horizontal competition and advantage are innovated, 50%;

A51: industry demand environment machine can utilize, 25%;

A52: industry development chance and utilization, 25%;

A53: industry policy chance and utilization, 25%;

A54: local industrial chain enterprise opportunity and utilization, 25%;

A61: industrial chain administration and ability, 50%;

A62: industrial chain develops, 50%;

3) described three grades of diagnosis indexs and weight comprise:

A111: demand of human resources with meet ability, 50%;

A112: human resources environment and innovation environment, 50%;

A121: source material product phase demand and innovation, 25%;

A122: production & marketing land supply and innovation, 25%;

A123: water and electricity supply and innovation, 25%;

A124: environmental geography and innovation, 25%;

A131: professional technique research and product development, 50%;

A132: professional technique fundamental research and innovation, 50%;

A141: capital requirement is evaluated with supply, 50%;

A142: capital circulation and application, 50%;

A151: infrastructure needs and present situation, 50%;

A152: the infrastructure epoch adapt to, 50%;

A211: product demand and provisions of laws and regulations, 50%;

A212: industrial chain development and product orientation, 50%;

A221: the demand expection of industrial chain product area, 50%;

A222: demand response and impact, 50%;

A311: equipment and annex and promotion, 50%;

A312: raw material supply and promotion, 50%;

A321: service support demand and promotion, 50%;

A322: assistance application product and promotion, 50%;

A411: business strategy and environment, 20%;

A412: enterprise development impression, 20%;

A413: enterprise management efficiency, 20%;

A414: key control is closed in business administration, 20%;

A415: target completes, 20%;

A421: assess in industry cluster ability and industry, 40%;

A422: industry cluster competitive environment is evaluated, 30%;

A423: industry diffusivity and promotion, 30%;

A521: industry development offers an opportunity ability, 50%;

A522: industry development chance Utilization ability, 50%;

A531: industry policy expection opportunity ability, 50%;

A532: industry policy Utilization ability, 50%;

A541: local industrial chain chance ability, 50%;

A542: enterprise opportunity Utilization ability, 50%;

A611: industrial chain government administration is expected, 50%;

A612: industrial chain laws and regulations and promotion, 50%;

3. the method for enterprise competitiveness diagnosis according to claim 1, it is characterized in that, utilize degree of ripeness technology, the diagnostic elements at different levels of system and the enterprise operation state real diagnosis of diagnosis problem option are selected, diagnostic system is diagnosed enterprise competitiveness actual influence weight, each diagnose option problem and optional matter degree of ripeness situation by diagnostic elements at different levels, and show enterprise competitiveness situation with the statement of degree of ripeness technology, comprising: diagnosis problem option state degree of ripeness establishment step; Diagnostic elements competitiveness degree of ripeness establishment step at different levels; The establishment step of degree of ripeness calculation procedure at different levels and expression meaning; The establishment step of degree of ripeness result of calculation physical significance at different levels;

4. the method for enterprise competitiveness diagnosis according to claim 1, it is characterized in that, competitiveness diagnostic result shows with data mode, for graphic display competitiveness provides basis, enterprise competitiveness diagnosis shows in the mode of radar map, advises for the diagnostic elements of competitiveness deficiency and diagnose option simultaneously; Competitiveness diagnostic result radar map establishment step; Comprise: diagnosis problem option suggestion establishment step and competitiveness diagnosis report establishment step:

The application of A1 production factors and innovation;

The A2 market demand and impact;

A3 related industry and supportive industry;

A4 strategy, management and race condition;

A5 opportunity chance and utilization;

A6 administration and business environment;

5. the method for enterprise competitiveness diagnosis according to claim 1, is characterized in that, the method for described enterprise competitiveness diagnosis also comprises: start with man-machine conversation, and the enterprise competitiveness diagnostic process to diagnostic result display formulates step; Stochastic display design procedure; Calibrating installation design procedure; Grading diagnosis apparatus design step;

1.4) diagnostic software utilizes random diagnosis display device to describe and diagnostic state option at user interface random display diagnosis problem, and user, according to the actual operation state of enterprise, chooses wherein one in diagnostic state option; State options has two kinds of patterns, and one is three options, and one is five options, and user chooses after Interface Options terminates, and clicks the next item down and enters more multi-option; Until cut-off OK terminates, submit diagnostic-calibration to.

2.3) packet data extracts display module, and the single particular diagnosis problem in packet data that realizes describes and state options is extracted item by item, and makes display on a display screen;

3) calibrating installation design procedure: calibrating installation is user's peculiar competitiveness diagnosis core apparatus, after user submits diagnostic data to, automatically implements enterprise competitiveness diagnostic-calibration calculate by flow process, calibrating installation is by diagnostic techniques planning module, diagnostic data base architecture design module, log in planning and design module, memory parameter and login path setting module, standard database sets up module, data base calibration judge module, input and output port module, grading diagnosis apparatus module, result correction verification module, output diagnostic module and diagnosis require that planning module forms, guarantee that diagnostic result and standard database comparison obtain the application of the method for enterprise competitiveness numerical value, guarantee normative construction normal data library module, upgrade the application of the systems approach of database module, guarantee diagnostic data input and output, detect and check, the application in the alignment path of diagnostic result and method and diagnostic result output intent and path, realize multi-user's quick diagnosis typing simultaneously, data are transmitted, multi-user diagnostic, enterprise diagnosis packet in the technical requirement realization of quick feedback diagnostic result and diagnostic procedure, the realization that diagnostic software server security guard technology requires,

3.1) diagnostic techniques planning module is the nucleus module of enterprise competitiveness method, be the technical scheme open-loop design module of diagnostic method, diagnosed by diagnostic method technology set and system, display convenient, directly perceived, real examples etc. such as inter-industry competition ability diagnostic method, process control method, method for managing system, degree of ripeness technology, image technology, comparison technology, sample specification, sample technique, real example technology, computing method, random function, large data and require that set forms; The conclusion of diagnostic method technical matters, the design optimization of diagnostic method technology path and the technical requirement of technical method renewal can be realized, realize diagnostic method solution effect and improve constantly the function judging precision.And realize the function constantly improving diagnostic techniques scheme and raising diagnosis effect;

3.10) enterprise diagnosis database is one of server stores function, is the basis of the large market demand of diagnostic method, after enterprise diagnosis database instruction is set up in acceptance, set up enterprise diagnosis document and guide, and enterprise diagnosis data is preserved in classification; Realize having diagnosed the preservation of enterprise diagnosis data, having utilized function;

3.11) user's diagnostic result memory module is the functional module accepting diagnostic result, realizes the function pointing out diagnostic software information, diagnostic result to accept to user simultaneously;