Cooperative Action Support System Using Member Trait Relationships
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Solution Overview
Problem
Existing techniques struggle to predict and maximize organizational achievement by evaluating member activities and traits effectively, making it difficult to enhance cooperative actions within organizations.
Innovation Solution
A system that identifies personal traits of organization members, predicts cooperative action degrees based on member relationships, and visualizes information to encourage actions that maximize organizational achievement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If member-by-member evaluation of traits and activities is performed, then individual member information can be presented, but prediction and maximization of overall organizational achievement becomes difficult
Solution Approach 1:
The patent combines individual member trait evaluations with organizational context to create a comprehensive assessment system. The computer integrates personal trait data with organizational achievement data to predict cooperative action degrees, merging individual-level and organization-level analyses to resolve the contradiction between detailed individual evaluation and overall organizational prediction capability
2Measurement precision
If detailed personal trait data is collected and analyzed, then individual characteristics can be identified, but the complexity of the system increases
Solution Approach 1:
The patent introduces a computer as an intermediary that automatically processes personal trait data and organizational achievement data. This intermediary system handles the complex data integration and prediction algorithms, reducing the perceived complexity for users while maintaining high measurement precision through systematic data processing
3Productivity
If cooperative action degree prediction is implemented, then organizational achievement can be maximized, but the difficulty of detecting and measuring cooperative actions increases
Solution Approach 1:
The patent implements a feedback mechanism where the computer predicts cooperative action degrees based on personal traits and organizational achievements, then visualizes this information to guide members toward actions that maximize organizational performance. The system continuously processes achievement data and adjusts predictions, creating a feedback loop that simplifies the measurement of cooperative actions while enhancing organizational productivity
Data Source
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AI summary
A system identifies a personal trait of each of members belonging to an organization, from personal trait data that includes data representing the personal trait of each of the members, and predicts a cooperative action degree in the organization, based on the relationship between the personal traits of the members. The system visualizes information about the predicted cooperative action degree.