Enterprise transformation and upgrading influence path identification method based on csQCA

Abstract

The invention discloses a csQCA-based enterprise transformation and upgrading influence path identification method, which comprises the following steps of: constructing a condition variable and a result variable according to the actual condition of an enterprise, and compiling and optimizing a questionnaire based on a csQCA method; after questionnaires are issued and data are collected and processed, necessity analysis of a single conditional variable on a result variable and sufficiency analysis of a plurality of conditional configurations on the result variable are carried out, so that path identification of enterprise transformation and upgrading influences is realized, and a complex problem which is difficult to quantify is converted into modeling. The concurrent causal relationship in high-level transformation and upgrading of the enterprise is explored, and important guidance is provided for future development and transformation of the enterprise and policy making.

Description

Technical Field

[0001] The present invention relates to the field of path identification for enterprise development, and specifically to a multi-path identification for enterprise transformation and upgrading based on a clear set qualitative comparative analysis method. Background Art

[0002] With the development of social economy and the continuous innovation of science and technology, many enterprises in traditional fields, such as real estate and mining enterprises, are facing the problem of industry downturn and development stagnation. The number of enterprises that have gone bankrupt and reorganized due to the break of capital chain has increased year by year. In this context, if seeking transformation and upgrading becomes a new direction for enterprises to improve economic benefits. Especially with the emergence of emerging technologies and emerging formats, how traditional industries can transform towards green and efficient is imminent. Therefore, it is particularly important to systematically study the impact path of how enterprises can achieve transformation and upgrading.

[0003] By analyzing the situation of past cases, analyzing the key influencing factors in transformation and upgrading, and confirming the path and method for enterprises to achieve transformation and upgrading, it is an important method to identify the path of enterprise transformation and upgrading. In the existing research, when discussing the transformation and upgrading path of traditional enterprises, most of them only explore the single impact of specific factors, but lack consideration of the interactive relationship between multiple influencing factors. In addition, enterprise transformation and upgrading is a complex system problem with multiple possibilities. Considering only a single factor or a single path cannot provide effective guidance for the transformation and upgrading of enterprises. Summary of the invention

[0004] In order to overcome the defects of the prior art, the present invention provides a method for identifying the influencing paths of enterprise transformation and upgrading based on csQCA. Through a clear set qualitative comparative analysis method and based on Boolean operations, multiple paths affecting enterprise transformation and upgrading are identified to improve the efficiency of enterprise transformation and upgrading.

[0005] In order to achieve the above object, the technical solution adopted by the present invention is: A method for identifying impact paths of enterprise transformation and upgrading based on csQCA, characterized by comprising the following steps: Step S1: according to the actual situation of the enterprise, determine the condition variables and the result variables, and establish the assignment rules of the condition variables and the result variables, wherein the assignment rules are set based on the binary attribution principle; Step S2: compiling a questionnaire according to the conditional variables and the outcome variables based on the csQCA method; Step S3: Distribute the questionnaire and collect data, construct a binary processing table and a truth table for multiple condition combinations, and complete the processing of the data; Step S4: Calculate the consistency and coverage between the condition variable and the result variable based on the binary processing table, and perform a necessity analysis of a single condition variable for enterprise transformation and upgrading; Step S5: Calculate multiple condition configurations that can realize enterprise transformation and upgrading through Boolean minimization operation method, calculate the consistency and coverage between the condition configuration and the result variable, analyze the sufficiency of the condition configuration for enterprise transformation and upgrading, and realize path identification that affects enterprise transformation and upgrading.

[0006] Furthermore, the binary attribution principle refers to dividing the condition variable and the result variable into two categories to form a clear binary set Furthermore, the step S2 specifically includes: Step S2.1: Prepare two questionnaires according to the characteristics of csQCA, and set the questions related to enterprise transformation and upgrading in the two questionnaires to be questions that have a positive effect on enterprise transformation and upgrading and questions that have a negative impact on enterprise transformation and upgrading; Step S2.2: Optimizing the questionnaire.

[0007] Furthermore, the options of the questions in the two questionnaires correspond to the assignment rules of the conditional variables.

[0008] Furthermore, the optimization of the questionnaire in step S2.2 is to conduct a preliminary survey and adjustment on the questionnaire, select some of the enterprises for a small sample preliminary survey, optimize and adjust the content of the questionnaire according to the feedback from the respondents, and form the final survey questionnaire.

[0009] Furthermore, the step S3 specifically includes: Step S3.1: Distribute the questionnaire to different enterprises and collect the results; Step S3.2: Based on the csQCA method, construct a binary processing table of the condition combination according to the collected data; the binary processing table is established based on the assignment rules for the condition variables and the result variables in step S1; Step S3.3: Based on the binary processing table, set the consistency threshold and frequency threshold to construct a truth table.

[0010] Furthermore, the calculation formula for the consistency between the single condition variable and the result variable in step S4 is:

[0011] The calculation formula for the coverage of the single condition variable and the result variable is:

[0012] Among them, the X i Indicates i The value of the condition variable in the condition combination, Y i Indicates i The value of the outcome variable for each combination of conditions.

[0013] Furthermore, the step S5 specifically includes: Step S5.1: Based on the truth table, the condition configuration corresponding to the complex solution, the intermediate solution, and the simple solution is obtained by using a Boolean minimization operation method according to the number of the included logical remainders, wherein the condition configuration is the condition combination composed of a plurality of the condition variables and the result variables; Step S5.2: determining core conditions and edge conditions according to the intermediate solution and the simple solution obtained in step S5.1; If the condition variable appears in both the intermediate solution and the simple solution, the condition variable is determined to be the core condition; if the condition variable appears only in the intermediate solution but not in the simple solution, the condition variable is determined to be the edge condition; Step S5.3: Calculate the configuration value of the condition configuration of the intermediate solution based on the binary processing table, calculate the consistency and coverage between the condition configuration and the result variable, analyze the sufficiency of each condition configuration for the transformation and upgrading of the enterprise, and realize the path identification that affects the transformation and upgrading of the enterprise.

[0014] Furthermore, the calculation formula for the consistency between the condition configuration and the result variable is:

[0015] The calculation formula for the coverage of the condition configuration and the result variable is:

[0016] Among them, the X’ i represents the configuration value of the i-th condition configuration; Y’ i The value of the result variable described in the i-th condition configuration.

[0017] Furthermore, the step S4 also includes a necessity analysis of the condition variable non-set.

[0018] It can be seen from the above technical solutions that the present invention has at least the following advantages: (1) The present invention converts complex and difficult-to-quantify problems into models through quantitative analysis of multiple conditional variables using the csQCA method, and explores the concurrent causal relationship in the high-level transformation and upgrading of enterprises based on Boolean minimization discussion; (2) The present invention not only analyzes the necessity of a single conditional variable for the high-level transformation and upgrading of enterprises, but also identifies multiple paths that affect the high-level transformation and upgrading of enterprises. Compared with the traditional study of the single impact of specific factors, it explores the impact of a combination of multiple influencing factors on the transformation and upgrading of enterprises, and reveals multiple influencing paths of transformation and upgrading, which has greater practical significance; (3) The present invention effectively improves the accuracy of the enterprise transformation and upgrading model by preprocessing the questionnaire; (4) The multiple groups of conditional configurations of the present invention are screened based on consistency thresholds and frequency thresholds, effectively excluding conditional configuration combinations that do not meet the requirements; (5) The enterprise transformation and upgrading impact path of the present invention provides important guidance for the future development and transformation of enterprises and the formulation of policies. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 : Schematic diagram of the process of identifying the impact path of enterprise transformation and upgrading based on csQCA in an embodiment of the present invention. DETAILED DESCRIPTION

[0020] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] Example 1: This example takes 100 construction companies in Jiangsu Province as the research objects. Through a method for identifying the influencing paths of enterprise transformation and upgrading based on csQCA, it explores the impact of various influencing factors (conditional variables) on the transformation and upgrading of construction enterprises from a configuration perspective, thereby identifying key influencing paths and improving the transformation and upgrading efficiency of construction enterprises.

[0022] In the csQCA research method adopted in the present invention, the result to be explained is defined as the "result variable", and the reason for explaining the result is defined as the "condition variable". Through comparative analysis between cases, the logical relationship between the result variable and the condition variable is found. The present invention finds the necessary conditions to promote the formation of this result, and then obtains the condition configuration and transformation and upgrading path. This example takes 100 construction companies in Jiangsu Province as an example, and uses a method of identifying the impact path of enterprise transformation and upgrading based on csQCA of the present invention to perform multivariate impact path analysis on the transformation and upgrading of 100 construction companies in Jiangsu Province.

[0023] A method for identifying the impact path of enterprise transformation and upgrading based on csQCA. It includes the following steps: Step S1: construct conditional variables and result variables that affect the transformation and upgrading of construction enterprises, and establish assignment rules for the conditional variables and the result variables.

[0024] According to the actual situation of transformation and upgrading of 100 construction companies in Jiangsu Province, the conditional variables affecting the transformation and upgrading of construction companies were determined through case analysis, literature research, and expert interviews. The conditional variables constructed included market risk, capital, key technology, innovative talents, market access conditions, and policy guidance and support. The result variable in this embodiment is the transformation and upgrading level of construction companies.

[0025] The assignment rule is based on the binary attribution principle, which divides the conditional variables and the outcome variables into two clear binary sets. csQCA is based on the logic of Boolean algebra, and its basic elements are Boolean variables (0 or 1), so it is necessary to assign the conditional variables and the outcome variables to 0 or 1 according to the "binary attribution principle". The variable construction and assignment are shown in Table 1. The binary attribution principle refers to dividing the variables used in the study (including conditional variables and outcome variables) into two categories to form a clear binary set. This principle requires that the research object or case can only belong to one of the two mutually exclusive states on a certain variable, that is, "existence" or "non-existence", "satisfaction" or "dissatisfaction", "belong to" or "do not belong to".

[0026] Table 1 Variable construction and assignment table

[0027] Step S2: compile a questionnaire based on the conditional variables and the outcome variables based on the csQCA method.

[0028] Furthermore, step S2 of preparing the questionnaire specifically includes: Step S2.1: Prepare two questionnaires, positive and negative, based on the characteristics of csQCA. Both questionnaires include two parts: basic information of the enterprise and information on enterprise transformation and upgrading. The content of the basic information of the two questionnaires is consistent; in the part involving the outcome variable enterprise transformation and upgrading information, according to the characteristics of csQCA, the questions of the two questionnaires are set to have a positive effect on enterprise transformation and a negative impact on enterprise transformation and upgrading, respectively. The options of the questionnaire questions are kept corresponding to the assignment rules of the conditional variables.

[0029] Because the csQCA method requires that the selected cases include both cases of "high-level transformation and upgrading of construction enterprises" and questions such as "Which of the following are factors that affect the high-level transformation and upgrading of your enterprise" and cases of "low-level transformation and upgrading of construction enterprises" and questions such as "Which of the following are factors that affect the low-level transformation and upgrading of your enterprise"; therefore, two questionnaires on enterprise transformation should be prepared to achieve the purpose of the survey.

[0030] Step S2.2: Optimize the questionnaire, conduct preliminary investigation and adjustment of the questionnaire. Select several construction companies to conduct a small sample preliminary investigation, and make fine adjustments to the questionnaire title setting, option content, and layout based on the feedback from the respondents to form the final survey questionnaire.

[0031] Step S3: Issue questionnaires and collect data, construct a binary processing table and a truth table of condition combinations, and complete the processing of the data; the specific steps are as follows: Step S3.1: Distribute the questionnaire to different construction companies and collect the questionnaires.

[0032] Step S3.2: Construct a binary processing table based on the csQCA method. According to the variable construction and assignment rules described in step S1, the questionnaire data collected from 100 construction companies are synthesized into a binary data table as shown in Table 2. The binary processing table is established based on the assignment rules for conditional variables and outcome variables.

[0033] In this embodiment, that is, in the questionnaire data of "high-level transformation and upgrading of construction enterprises", the conditional variables that are not selected by the enterprise are coded as 0, the selected conditional variables are coded as 1, and the result variable is coded as 1; in the questionnaire data of "low-level transformation and upgrading of construction enterprises", the conditional variables that are not selected by the enterprise are coded as 1, the selected conditional variables are coded as 0, and the result variable is coded as 0.

[0034] Table 2 Binary data table of transformation and upgrading of construction enterprises ; ;

[0035] Step S3.3: Based on the condition combination of the binary processing table, set the consistency threshold and frequency threshold to construct the truth table. First, based on the above binary data table, merge the enterprises with the same condition variables and result variables into one row (for example, the condition variables and result variables of enterprises coded as 51, 66, 82, 86, 92 and 93 are the same, and can be merged into one row, and fill in 6 in the "Number of Cases" column) to form an initial truth table. Secondly, on the basis of the completion of the merger, set the consistency threshold and frequency threshold to complete the screening and construction of the truth table.

[0036] The consistency threshold refers to the minimum consistency level standard for whether a condition combination can be regarded as a "sufficient condition", which is used to screen condition combinations with strong logical associations between condition variables and outcome variables. The frequency threshold refers to the standard for the minimum number of cases that a condition configuration must meet to be included in the analysis, which is used to eliminate condition combinations with insufficient case support, thereby screening condition combinations with sufficient number of cases and practical significance.

[0037] In this embodiment, the consistency threshold is set to 0.80, which means that the condition combination must reach or exceed the consistency level of 80% to be considered as a "sufficient condition" for the result. The frequency threshold is set to 2, which means that the condition combination must be supported by at least 2 cases to be retained in the truth table. Through the above steps, the truth table shown in Table 3 is finally formed. The truth table is a systematic table that lists the actual condition combinations and their corresponding results in the collected data.

[0038] Table 3 Truth table

[0039] Step S4: Based on the binary processing table, calculate the consistency and coverage of each condition variable compared with the result variable, conduct a necessity analysis of a single condition variable for enterprise transformation and upgrading, and determine the impact of a single condition variable on the high-level transformation and upgrading of construction enterprises.

[0040] During the necessity analysis detection process, necessity analysis is also performed on the non-values ​​of all conditional variables.

[0041] Establish the consistency calculation formula between the conditional variable and the outcome variable:

[0042] In the above formula, Indicates the corresponding i The value of the condition variable in the condition combination, Indicates the corresponding i The value of the outcome variable for each combination of conditions.

[0043] If the calculated consistency result is greater than or equal to 0.9, then the conditional variable is a necessary condition for the generation of the result variable. If the calculated consistency result is less than 0.9, then the conditional variable is not a necessary condition for the generation of the result variable.

[0044] Establish the coverage calculation formula between the conditional variable and the result variable:

[0045] In the above formula, Indicates the corresponding i The value of the condition variable in the condition combination, Indicates the corresponding i The higher the coverage of the conditional variable and the result variable, the stronger the explanation of the condition for the result.

[0046] In this embodiment, the consistency results between the six conditional variables and the result variables are shown in Table 4. In the necessity analysis of a single conditional variable, a conditional variable with a consistency greater than or equal to 0.9 can be regarded as a necessary condition for transformation and upgrading. From the results shown in the table below, it can be seen that all the single conditional variables in this embodiment are not necessary conditions for affecting the high-level transformation and upgrading of construction enterprises.

[0047] Table 4 Results of single variable necessity analysis

[0048] Step S5: Calculate multiple condition configurations that can achieve enterprise transformation and upgrading through Boolean minimization operation method, analyze the sufficiency of the condition configurations for enterprise transformation and upgrading, and identify the paths that affect enterprise transformation and upgrading. The specific steps are as follows: Step S5.1: Based on the truth table and through the Boolean minimization method, the condition configuration corresponding to the complex solution, the intermediate solution, and the simple solution is obtained according to the number of logical remainders included, and the condition configuration is the condition combination composed of multiple condition variables and result variables.

[0049] In the csQCA method, if the number of conditional variables is k, theoretically 2 k There are 64 different condition combinations. In this embodiment, there are 64. However, due to the limitations of the embodiment and the counterfactual nature of some theoretical condition combinations, not all condition combinations will be covered by the case, and the condition combinations not covered by the case are called logical remainders.

[0050] The Boolean minimization is to "reduce" a long and complex expression into a short and concise expression, that is, if two Boolean expressions differ only in one conditional variable but produce the same result variable, then the conditional variable can be considered to be irrelevant to the result variable, and thus the conditional variable can be removed. The difference between the complex solution, the simple solution and the intermediate solution is that the forms of incorporating logical remainders are different. The complex solution does not incorporate any logical remainders, the intermediate solution only incorporates logical remainders that meet the theoretical direction expectations, and the simple solution incorporates all logical remainders.

[0051] Among the 100 case data collected in this embodiment, there are 22 condition combinations in total, and the remaining 42 condition combinations are logical remainders of this embodiment.

[0052] Step S5.2: Determine the core condition and the edge condition based on the results of the intermediate solution and the simple solution. If the condition variable appears in both the intermediate solution and the simple solution, it is determined to be a core condition; if the condition variable only appears in the intermediate solution and not in the simple solution, it is determined to be an edge condition.

[0053] Step S5.3: Based on the binary processing table, calculate the configuration value of each condition configuration obtained by the intermediate solution, calculate the consistency and coverage of each condition configuration with the result variable, analyze the sufficiency of each condition configuration for the transformation and upgrading of the enterprise, and realize the path identification of the impact on the transformation and upgrading of the enterprise.

[0054] The consistency calculation formula between the condition configuration and the result variable is:

[0055] In the above formula, Indicates i The configuration value of a conditional configuration, Indicates the corresponding i The value of the result variable in a condition configuration.

[0056] The coverage calculation formula between the condition configuration and the result variable is:

[0057] In the above formula, Indicates i The configuration value of a conditional configuration, Indicates the corresponding i The value of the result variable in a condition configuration.

[0058] When performing sufficiency analysis of conditional configurations, there are consistency, original coverage, unique coverage, consistency of the overall solution, and coverage of the overall solution. Among them, consistency, original coverage, and unique coverage are calculated for a single conditional configuration, and consistency of the overall solution and coverage of the overall solution are calculated for the union of the selected conditional configurations.

[0059] Table 5 shows the configuration condition analysis results of this embodiment.

[0060] Table 5 Analysis of high-level transformation and upgrading configuration of construction enterprises

[0061] As shown in the table above, there are 5 paths for realizing the transformation and upgrading of construction enterprises based on the csQCA method in this embodiment. The consistency level of both the individual solution (configuration) and the overall solution is 1, which is higher than the acceptable minimum standard of 0.75. In addition, the coverage of the overall solution is 0.8, which means that the 5 conditional configurations can explain 80% of the transformation and upgrading cases of construction enterprises in this embodiment. Among them, the coverage is divided into original coverage and unique coverage. The original coverage is a measure of the proportion of cases that a certain conditional configuration can explain the occurrence of the result, reflecting how much of the result cases can be attributed to the conditional configuration (without considering the overlap with other configurations). The unique coverage measures the proportion of the independent contribution of a certain conditional configuration to the occurrence of the result, that is, how many cases of the result occurrence are explained by the configuration, and these cases are not covered by other configurations.

[0062] In Configuration 1, market risk plays a core role. This configuration shows that under the condition of low market risk, even if there is a lack of key technologies, market access restrictions, and weak policy guidance and support, this sample will also promote high-level low-carbon transformation of construction companies.

[0063] In Configuration 2, funds play a core role. This configuration shows that under the condition of sufficient funds, even if there are no key technologies, market access restrictions, and weak policy guidance and support, this sample will promote high-level low-carbon transformation of construction enterprises.

[0064] In configuration 3, innovative talents play a supporting role. This configuration shows that under the condition of having innovative talents, even if there are large market risks, lack of key technologies, and market access restrictions, this sample will also promote high-level low-carbon transformation of construction enterprises.

[0065] In configuration 4, funds and innovative talents play a core role. This configuration shows that under the conditions of sufficient funds and innovative talents, even if there are market access restrictions and weak policy guidance and support, this sample will also promote high-level low-carbon transformation of construction enterprises.

[0066] In configuration 5, market risk and innovative talents play a core role, while key technologies, policy guidance and support play a supporting role. This configuration shows that under the conditions of low market risk, innovative talents, key technologies, strong policy guidance and support, even in the case of insufficient funds and market access restrictions, this sample will promote high-level low-carbon transformation of construction enterprises.

[0067] At this point, the entire process of the enterprise transformation and upgrading impact path identification method based on csQCA of the present invention is completed.

[0068] In summary, the present invention adopts the csQCA configuration analysis method to provide important guidance for enterprise transformation and upgrading and policy formulation related policies.

[0069] In the description provided herein, a large number of specific details are described. However, it is understood that embodiments of the present invention can be practiced without these specific details. In some instances, well-known methods, structures and techniques are not shown in detail so as not to obscure the understanding of this description.

[0070] Although the present invention has been described according to a limited number of embodiments, it will be apparent to those skilled in the art, with the benefit of the above description, that other embodiments may be envisioned within the scope of the invention thus described. In addition, it should be noted that the language used in this specification is selected primarily for readability and didactic purposes, rather than for the purpose of explaining or defining the subject matter of the present invention. Therefore, many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the appended claims. The disclosure of the present invention is illustrative and not restrictive with respect to the scope of the present invention, and the scope of the present invention is defined by the appended claims.

Claims

1. A method for identifying the impact path of enterprise transformation and upgrading based on csQCA, characterized by: The steps include: Step S1: according to the actual situation of the enterprise, determine the condition variables and the result variables, and establish the assignment rules of the condition variables and the result variables, wherein the assignment rules are set based on the binary attribution principle; Step S2: compiling a questionnaire according to the conditional variables and the outcome variables based on the csQCA method; Step S3: Distribute the questionnaire and collect data, construct a binary processing table and a truth table for multiple condition combinations, and complete the processing of the data; Step S4: Calculate the consistency and coverage between the condition variable and the result variable based on the binary processing table, and perform a necessity analysis of a single condition variable for enterprise transformation and upgrading; Step S5: Calculate multiple condition configurations that can realize enterprise transformation and upgrading through Boolean minimization operation method, calculate the consistency and coverage between the condition configuration and the result variable, analyze the sufficiency of the condition configuration for enterprise transformation and upgrading, and realize path identification that affects enterprise transformation and upgrading.

2. According to the csQCA-based enterprise transformation and upgrading impact path identification method of claim 1, it is characterized by: The binary attribution principle refers to dividing the conditional variables and the result variables into two categories to form a clear binary set.

3. According to the csQCA-based enterprise transformation and upgrading impact path identification method of claim 1, it is characterized by: The step S2 specifically includes: Step S2.1: Prepare two questionnaires according to the characteristics of csQCA, and set the questions related to enterprise transformation and upgrading in the two questionnaires to be questions that have a positive effect on enterprise transformation and upgrading and questions that have a negative impact on enterprise transformation and upgrading; Step S2.2: Optimizing the questionnaire.

4. According to claim 3, a method for identifying impact paths of enterprise transformation and upgrading based on csQCA is characterized in that: The options of the questions in the two questionnaires correspond to the assignment rules of the conditional variables.

5. According to claim 3, a method for identifying impact paths of enterprise transformation and upgrading based on csQCA is characterized in that: The optimization of the questionnaire in step S2.2 is to conduct a preliminary survey and adjustment on the questionnaire, select some of the enterprises for a small sample preliminary survey, optimize and adjust the content of the questionnaire according to the feedback from the respondents, and form the final questionnaire.

6. According to the csQCA-based enterprise transformation and upgrading impact path identification method of claim 1, it is characterized by: The step S3 specifically includes: Step S3.1: Distribute the questionnaire to different enterprises and collect the results; Step S3.2: Based on the csQCA method, construct a binary processing table of the condition combination according to the collected data; the binary processing table is established based on the assignment rules for the condition variables and the result variables in step S1; Step S3.3: Based on the binary processing table, set the consistency threshold and frequency threshold to construct a truth table.

7. According to claim 1, a method for identifying impact paths of enterprise transformation and upgrading based on csQCA is characterized in that: The calculation formula for the consistency between the condition variable and the result variable in step S4 is: ； The calculation formula for the coverage of the condition variable and the result variable is: ； Among them, the X i represents the value of the condition variable in the i-th condition combination, Y i Represents the value of the outcome variable in the i-th condition combination.

8. According to the csQCA-based enterprise transformation and upgrading impact path identification method of claim 1, it is characterized by: The step S5 specifically includes: Step S5.1: Based on the truth table, the condition configuration corresponding to the complex solution, the intermediate solution, and the simple solution is obtained by using a Boolean minimization operation method according to the number of the included logical remainders, wherein the condition configuration is the condition combination composed of a plurality of the condition variables and the result variables; Step S5.2: determining core conditions and edge conditions according to the intermediate solution and the simple solution obtained in step S5.1; If the condition variable appears in both the intermediate solution and the simple solution, determining that the condition variable is the core condition; If it only appears in the intermediate solution but not in the simple solution, determining the condition variable as the edge condition; Step S5.3: Calculate the configuration value of the condition configuration of the intermediate solution based on the binary processing table, calculate the consistency and coverage between the condition configuration and the result variable, analyze the sufficiency of each condition configuration for the transformation and upgrading of the enterprise, and realize the path identification that affects the transformation and upgrading of the enterprise.

9. According to the csQCA-based enterprise transformation and upgrading impact path identification method of claim 1, it is characterized by: The calculation formula for the consistency between the condition configuration and the result variable is: ； The calculation formula for the coverage of the condition configuration and the result variable is: ； Among them, the X’ i represents the configuration value of the i-th condition configuration; Y’ i The value of the result variable described in the i-th condition configuration.

10. A method for identifying impact paths of enterprise transformation and upgrading based on csQCA according to any one of claims 1 to 9, characterized in that: The step S4 also includes a necessity analysis of the condition variable non-set.

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