IP influence evaluation system and method

Abstract

The invention discloses an IP influence assessment system and method, and relates to the field of brand assessment and market investigation, and the system comprises an index system which is used for carrying out the independent calculation and independent interpretation of three parallel secondary indexes, namely a risk index, a cognitive index and an opportunity index; the data acquisition module is used for performing multi-source data acquisition and interactive measurement, and the data acquisition module comprises a data source and an interactive question type; the calculation engine is used for carrying out independent index calculation and weight design, and the calculation engine comprises weight assignment and index calculation. According to the IP influence assessment system and method, the IP influence assessment system which is multi-dimensional, integrates multi-source data and supports independent judgment is constructed, the risk index, the cognitive index and the opportunity index of the IP are quantified respectively, calculation of a single overall score is abandoned, more accurate and more targeted decision insight is provided for users, and the user experience is improved. The high-quality IP with high cognition and low risk is identified, and the dispute IP with high opportunity but high risk is avoided.

Description

Technical Field

[0001] This invention relates to the field of brand evaluation and market research technology, and in particular to an IP influence evaluation system and method. Background Technology

[0002] In today's business and content industries, IP (intellectual property) valuation has become crucial for licensing, investment, and marketing decisions. Existing IP valuation methods mainly fall into the following categories: Financial metrics method: focuses on direct revenue and licensing fees generated by the IP, but cannot measure its potential brand value and user emotional connection.

[0003] Quantitative analysis of social media relies on publicly available quantitative data such as the number of followers, likes, and shares. This method is easily manipulated (e.g., through inflated metrics) and fails to provide a deep understanding of the underlying "reasons" and emotional tendencies behind user attitudes.

[0004] Traditional market research methods typically employ simple questionnaires with limited question design and insufficient data dimensions, making it difficult to construct a scientific and comprehensive evaluation system. Furthermore, they generally neglect the systematic assessment of negative risks and future potential.

[0005] Furthermore, existing technologies generally suffer from a major flaw: they typically provide a single, comprehensive score, which obscures the specific performance of an IP across different dimensions. For example, an IP may have high recognition (great opportunity) but also high controversy (high risk), and its overall score may tend to be average, failing to provide decision-makers with clear and specific action guidelines.

[0006] In summary, the existing technology has the following drawbacks: (1) The assessment results are vague: an overall score is provided, which cannot clearly reveal the specific advantages and disadvantages of IP at different levels such as risk, current market perception and future opportunities.

[0007] (2) Neglecting risk monitoring: Most existing systems focus on the positive influence of IP, but lack specific assessment of risk indicators such as negative public opinion, audience aversion, and fan circle health, which makes investment and licensing involve huge risks.

[0008] (3) Isolated data sources: Subjective survey data and objective VOC data are isolated from each other and fail to form a synergy, resulting in an incomplete evaluation perspective.

[0009] (4) Lack of targeted decision support: A single score cannot answer specific questions such as "Is this IP suitable for my brand?" or "What are its main risks?" Summary of the Invention

[0010] The purpose of this invention is to provide an IP influence assessment system and method to solve the problems mentioned in the background art.

[0011] To achieve the above objectives, the present invention provides an IP influence assessment system, comprising: Indicator Calculation Module: This module is used to independently calculate and interpret three parallel secondary indicators, namely the risk index, the cognition index, and the opportunity index. Data acquisition module: used for multi-source data acquisition and interactive measurement. Data acquisition includes data sources and interactive question types; Calculation Engine Module: Used for independent exponent calculation and weight design. The calculation engine includes weight assignment and exponent calculation.

[0012] Preferably, the risk index is constructed by a progressive risk radar to independently measure the negative risks and stability of the IP; The progressive risk radar independently calculates the risk indices as follows: actual negative public opinion, user perception of negative public opinion, audience aversion, fan base health, and negative IP image.

[0013] Preferably, the cognitive index independently measures the current market awareness, reach, and user sentiment of the IP using questionnaire survey data and VOC data; The questionnaire survey data includes awareness, liking, and positive image of the IP, while VOC data serves as an objective quantitative input for social discussion / popularity.

[0014] Preferably, the opportunity index includes "IP and brand fit, purchase intention, content development potential, current growth trend, appreciation potential and uniqueness", and independently measures the IP's future growth potential and commercial value.

[0015] Preferably, the data source integrates online questionnaire survey data and VOC data; The interactive question types include categorized drag-and-drop questions and cursor evaluation questions. Categorized drag-and-drop questions are used to measure users' qualitative understanding of IP, while cursor evaluation questions are used to measure continuous variables.

[0016] Preferably, the weight assignment is applied to the three secondary indicators, and the weights of their respective subordinate tertiary indicators are determined independently using the Analytic Hierarchy Process (AHP).

[0017] Preferably, the index calculation is used to calculate the index values ​​of each secondary indicator, and the specific formula is as follows: ; in, These are the index values ​​for each secondary indicator. M These are the risk index, the cognitive index, and the opportunity index. m This indicates a certain secondary indicator.t This represents the evaluation elements of the three-level indicators. The influence coefficient of the secondary indicator. The influence coefficients of the tertiary indicators under the secondary indicators are determined by AHP. The impact of tertiary indicators on scores under secondary indicators A method for IP influence assessment system includes the following steps: S1. The administrator configures the list of IPs to be evaluated and the corresponding VOC monitoring keywords in the background; S2. Users participate in the survey through the front-end interface, complete the questionnaire which includes interactive questions, and the submitted data is stored in the data source. The system synchronously obtains the VOC public opinion data of the IP within a specified period through the API interface. S3. The calculation engine starts, retrieves the cleaned subjective and objective data from the data source, and performs weight assignment and index value calculation on the three secondary indicators to generate three independent indices: risk, cognition, and opportunity. S4. The evaluation report is presented to the user through a front-end visual interface. The evaluation report displays three secondary indices side by side, each with its own in-depth interpretation. It does not provide or display any form of overall score.

[0018] Preferably, the specific steps for completing the questionnaire containing interactive questions in step S2 are as follows: S21. For drag-and-drop categorization questions, the front end displays the words to be categorized and the categorization area; for cursor-evaluation questions, the front end displays a slider with two-dimensional semantic labels. S22. When a user performs a drag-and-drop operation on the front end of the category drag-and-drop question, the system records the categorization results and transmits them to the backend database. S23. The user slides the cursor in front of the evaluation question, and the system records the percentage score corresponding to its precise position.

[0019] Preferably, the specific steps for assigning weights in S3 are as follows: S31. Establish a dedicated hierarchical structure for each secondary indicator; S32. Invite industry experts to compare the relative importance of the third-level indicators under this indicator in pairs and construct an independent judgment matrix. S33. Calculate the eigenvectors of the matrix, determine the internal weights under the secondary indicator system, and perform a consistency check.

[0020] Therefore, the present invention, employing the aforementioned IP influence assessment system and method, has the following beneficial effects: (1) The evaluation results are clear and targeted: the misleading single total score is abandoned and the independent performance of IP in the three key dimensions of risk, cognition and opportunity is directly presented, so that decision-makers can quickly and accurately grasp the full picture and characteristics of IP, such as identifying ideal IP with "high cognition, medium opportunity and low risk" or IP with "high opportunity and high risk".

[0021] (2) Independent in-depth insights: The calculation of each index is based on its own exclusive and scientifically weighted indicator system, ensuring the depth and accuracy of the assessment in each dimension. The risk index is specifically for early warning, the cognition index objectively reflects the current situation, and the opportunity index focuses on the future, each performing its own function.

[0022] (3) Data fusion and cross-validation: Subjective survey data and objective VOC data are integrated in the calculation of each index, which improves the accuracy and reliability of each independent index.

[0023] (4) Flexible decision support: Users can weigh the three indices according to their own business sensitivity (e.g., risk-averse brands pay more attention to the risk index, while growth brands pay more attention to the opportunity index). The system provides the most original and accurate dimensional data to support this flexible decision-making.

[0024] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0025] Figure 1 This is a flowchart illustrating an embodiment of an IP influence assessment system and method according to the present invention. Detailed Implementation

[0026] The technical solution of the present invention will be further described below with reference to the accompanying drawings and embodiments.

[0027] Unless otherwise defined, the technical or scientific terms used in this invention shall have the ordinary meaning understood by one of ordinary skill in the art to which this invention pertains. The terms "first," "second," and similar terms used in this invention do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Terms such as "comprising" or "including" mean that the element or object preceding the word encompasses the elements or objects listed following the word and their equivalents, without excluding other elements or objects. Terms such as "connected" or "linked" are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. Terms such as "upper," "lower," "left," and "right" are used only to indicate relative positional relationships; when the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0028] Example Please see Figure 1 This invention provides an IP influence assessment system, which consists of three main parts: an indicator system, data collection, and a calculation engine. Specifically, it includes: 1. A three-core secondary indicator system.

[0029] The indicator system of this system is strictly limited to three parallel secondary indicators, each of which is calculated and interpreted independently: (1) Risk Index: Independently measures the negative risks and stability of an IP. It systematically constructs a progressive risk radar from "actual negative public opinion" (VOC data) to users' "negative public opinion perception" and "audience aversion", and then to "fan circle health" and "IP negative image", realizing in-depth mining and quantification of IP soft risks.

[0030] (2) Cognition Index: Independently measures the current market volume, breadth, and user sentiment of an IP. It not only uses questionnaires to survey "understanding level", "liking level", and "positive image of the IP", but also directly introduces VOC data (such as Baidu Index and social media volume) as an objective quantitative input for "social discussion level / heat" to achieve cross-validation of subjective and objective data.

[0031] (3) Opportunity Index: Independently measures the future growth potential and commercial value of an IP. It predicts the future value of an IP from multiple perspectives, including "IP and brand fit", "purchase intention", "content development potential", "current growth trend" (which can be combined with VOC popularity trend analysis), "appreciation potential" and "uniqueness".

[0032] Third-level indicators: These are the specific operational definitions of second-level indicators, i.e., the keyword tagging system for specific questions in the questionnaire or VOC data, as shown in the table below: Table 1 Core Indicator System

[0033] 2. Multi-source data acquisition and interactive measurement.

[0034] (1) Data source: It integrates online questionnaire survey data (user subjective cognition) and VOC data (objective online public opinion).

[0035] (2) Interactive Question Design: To improve the accuracy and experience of subjective data collection, this system adopts two patented interactive question types: Category drag-and-drop questions: used to measure users' qualitative perceptions of an IP, such as its "positive / negative image".

[0036] Vernier rating scales are used to measure continuous variables such as "degree of agreement" and "degree of liking".

[0037] 3. Independent index calculation engine and weight design.

[0038] (1) Weight assignment: For the three secondary indicators of risk, cognition and opportunity, the weight of their respective tertiary indicators is determined independently using the Analytic Hierarchy Process (AHP).

[0039] (2) Index calculation: Individual secondary indicator index values ​​(calculated independently, no overall index): ; in, These are the index values ​​for each secondary indicator. M These are the risk index, the cognitive index, and the opportunity index. m This indicates a certain secondary indicator. t This represents the evaluation elements of the three-level indicators. The influence coefficient of the secondary indicator. The influence coefficients of the tertiary indicators under the secondary indicators are determined by AHP. The score is affected by the tertiary indicators under the secondary indicators.

[0040] A method for IP influence assessment system includes the following steps: S1. The administrator configures the list of IPs to be evaluated and the corresponding VOC monitoring keywords in the background; S2. Users participate in the survey through the front-end interface (triggering interactive questions). The target user group accesses the survey system through links or embedded pages, completes the questionnaire including interactive questions, and the submitted data is stored in the data source, specifically: Category drag-and-drop challenge: The front end displays the words to be categorized and the category area. The user drags and drops the words, and the system records the categorization results and sends them to the back end database. Vernier rating system: The front end displays a slider with two semantic labels. The user slides the cursor, and the system records the percentage score corresponding to its precise position. This method is more accurate than the traditional Likert scale.

[0041] Meanwhile, the system periodically captures or receives public opinion data provided by third-party VOC data platforms through API interfaces and stores it in the data source.

[0042] S4. The computing engine starts, retrieves cleaned subjective and objective data from the data source, integrates the two types of data, and runs three computing processes in parallel and independently to generate three independent indices: risk, perception, and opportunity.

[0043] The specific steps for assigning weights are as follows: S41. Establish a dedicated hierarchical structure for each secondary indicator (such as the risk index).

[0044] S42. Invite industry experts to compare the relative importance of the third-level indicators under this indicator in pairs and construct an independent judgment matrix.

[0045] S43. Calculate the eigenvectors of the matrix, determine the internal weights under this secondary indicator system, and perform a consistency check (CR<0.1).

[0046] S5. The evaluation report is displayed through a front-end visual interface (such as radar charts or parallel bar charts) and presented to the user in parallel. The evaluation report displays three secondary indices in parallel, with in-depth interpretations for each. It does not provide or display any form of "overall score".

[0047] Therefore, this invention adopts the above-mentioned IP influence assessment system and method to construct a multi-dimensional IP influence assessment system that integrates multi-source data and supports independent evaluation. This system aims to quantify the risk index, cognition index and opportunity index of IP separately, abandoning the calculation of a single overall score, thereby providing users with more accurate and targeted decision-making insights, identifying high-cognition, low-risk, high-quality IPs, and avoiding controversial IPs with high opportunities but accompanied by high risks.

[0048] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the technical solutions of the present invention, and these modifications or equivalent substitutions cannot cause the modified technical solutions to deviate from the spirit and scope of the technical solutions of the present invention.

Claims

1. An IP influence assessment system, characterized in that, The application relates to an IP evaluation system and method. The application comprises: An index calculation module: used for independently calculating and interpreting three parallel second-level indexes, namely a risk index, a cognition index and an opportunity index; A data acquisition module: used for multi-source data acquisition and interactive measurement, the data acquisition including data sources and interactive questions; 2. The IP impact assessment system of claim 1, wherein: A calculation engine module: used for independent index calculation and weight design, the calculation engine including weight assignment and index calculation. The risk index is independently measured by constructing a progressive risk radar to measure the negative risk and stability of an IP.

3. The IP impact assessment system of claim 1, wherein: The risk index calculated by the progressive risk radar is actual negative public opinion, user negative public opinion perception, audience aversion, fan circle health and IP negative image in sequence. The cognition index is independently measured by questionnaire survey data and VOC data to measure the current market sound, breadth and user emotion of an IP.

4. The IP impact assessment system of claim 1, wherein: The questionnaire survey data includes understanding degree, like degree and IP positive image, and the VOC data is used as an objective quantitative input of social discussion degree / heat.

5. The IP impact assessment system of claim 1, wherein: The opportunity index includes IP and brand compatibility, purchase willingness, content development potential, current growth trend, upgrading potential and uniqueness, and is used for independently measuring the future growth potential and business value of an IP. The data sources integrate online questionnaire survey data and VOC data.

6. The IP impact assessment system of claim 1, wherein: The interactive questions include a classification drag-and-drop question and a cursor evaluation question, the classification drag-and-drop question is used for measuring the qualitative cognition of a user to an IP, and the cursor evaluation question is used for measuring a continuous variable.

7. The IP impact assessment system of claim 1, wherein, The weight assignment independently adopts an analytic hierarchy process (AHP) to determine the weight of a third-level index of each second-level index. ； wherein, is the value of each secondary index, M are respectively the risk index, the cognitive index and the opportunity index, m represents a certain secondary index, t represents a tertiary index evaluation element, is the impact coefficient of the secondary index, is the impact coefficient of the tertiary index under the secondary index, determined by AHP, is the impact score of the tertiary index under the secondary index.

8. A method of applying an IP influence assessment system according to any of the preceding claims 1-7, characterized in that, The index calculation is used for calculating the index value of each second-level index, and the specific formula is: The application comprises the following steps: S1, an administrator configures an IP list to be evaluated and corresponding VOC monitoring keywords in the background; S2, a user participates in a survey through a front-end interface, completes a questionnaire including interactive questions, and stores submitted data in a data source, and the system synchronously acquires VOC public opinion data of the IP in a specified period through an API interface; S3, a calculation engine is started, main and objective data are called from the data source, weight assignment and index value calculation are performed on three second-level indexes, and three independent indexes of risk, cognition and opportunity are generated; 9. The method of claim 8, wherein, S4, an evaluation report is displayed on a front-end visual interface and presented to a user, the evaluation report displays three second-level indexes in parallel, and respective depth interpretations are attached, and no overall score is provided or displayed. The specific steps of completing the questionnaire including interactive questions in S2 are as follows: S21, classification drag-and-drop questions are displayed on the front end, and classification areas are displayed on the front end of cursor evaluation questions; S22, a user performs a drag operation on the front end of the classification drag-and-drop questions, and the system records the classification result and transmits the classification result to a back-end database; 10. The method of claim 9, wherein, S23, a user slides a cursor on the front end of the cursor evaluation questions, and the system records a percentage score corresponding to the accurate position of the cursor. The specific steps of the weight assignment in S3 are as follows: S31, a hierarchical structure is established for each second-level index. S32. Invite industry experts to compare the relative importance of the third-level indicators under this indicator in pairs and construct an independent judgment matrix. S33. Calculate the eigenvectors of the matrix, determine the internal weights under the secondary indicator system, and perform a consistency check.

Images