Social Performance Evaluation System with Score Normalization
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Solution Overview
Problem
There is a lack of adequate mechanisms for measuring and monitoring the social performance of companies, which hinders businesses and organizations in making informed decisions about corporate social responsibility and sustainability.
Innovation Solution
Systems, methods, and media are provided to evaluate companies based on social performance by receiving data from multiple sources, converting disparate scoring systems into a uniform system, calculating category and combined scores, and presenting them to users, allowing for customizable weightings and advertising based on these scores.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data from multiple data sources with different scoring systems is collected to comprehensively evaluate company social performance, then the completeness and coverage of evaluation data is improved, but the complexity of data processing and score normalization increases
Solution Approach 1:
The patent introduces a normalization layer as an intermediary component that sits between diverse data sources and the evaluation system. This normalization layer standardizes different scoring systems into a common format, enabling comprehensive data collection from multiple sources without requiring complex custom processing for each source. The intermediary handles the complexity of score conversion internally while presenting a unified interface to the rest of the system.
Solution Approach 2:
The system dynamically adjusts scoring parameters and weights based on the specific data source and evaluation context. Different data sources with different scoring systems are transformed by changing their parameter representations into a standardized format. The system allows flexible modification of category weights and score ranges to accommodate various evaluation frameworks while maintaining overall system consistency.
2Measurement precision
If multiple categories and customizable weights are used to evaluate different aspects of social performance, then the precision and customization of evaluation results is improved, but the complexity of score calculation and user configuration increases
Solution Approach 1:
The evaluation system is segmented into distinct modular categories (e.g., environmental performance, social responsibility, governance). Each category can be independently configured with its own weights and evaluation criteria. This segmentation allows precise measurement of specific aspects of social performance while keeping the overall system manageable through modular design. Users can adjust weights for individual categories without affecting the entire evaluation framework.
Solution Approach 2:
The system implements dynamic weighting where category importance can be adjusted based on user preferences, industry standards, or specific evaluation contexts. The weights are not fixed but can be modified to reflect changing priorities or stakeholder requirements. This dynamic approach enables the system to adapt to different evaluation scenarios while maintaining precision through customizable parameters.
3Measurement precision
If uniform score values are calculated from disparate scoring systems, then the comparability of company scores is improved, but the accuracy of original score representations may be lost
Solution Approach 1:
The system creates standardized copies of original scores through normalization while preserving the essential evaluation information. Each original score from different data sources is transformed into a standardized format that maintains its relative positioning and significance. The normalization process creates a copy that is comparable across sources while the system retains awareness of the original scoring context to minimize information loss.
Solution Approach 2:
The system performs preliminary normalization and validation of scores before they are fully integrated into the evaluation model. By pre-processing the disparate scoring systems into a standardized format early in the data pipeline, the system establishes comparability before subsequent analysis. This preliminary action prevents compounding of conversion errors and maintains score integrity throughout the evaluation process.
Data Source
AI summary
Mechanisms for evaluating companies based on social performance are provided. In some embodiments, systems comprise: at least one processor that: receives data regarding a plurality of companies from a plurality of data sources, wherein the data includes score values regarding the social performance of the plurality of companies; calculates category scores for each of the plurality of companies in each of a plurality of categories based on the score values; calculates a combined score for each of the plurality of companies based on the category scores; compares at least one of the combined score and the category scores for one of the plurality of companies to a threshold; and based on results of the comparison, presents an advertisement to the user that corresponds to the one of the plurality of companies.