Member Trait Modeling for Organizational Cooperation Prediction

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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 trait relationships, and visualizes information to encourage actions that maximize organizational achievement.

Engineering Contradictions & Design Principles

VSEngineering 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 cannot be achieved

Engineering Contradiction:
Improveindividual member evaluation precisionVSAvoidorganizational achievement prediction capability
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The patent combines individual member trait evaluations with organizational context to create a comprehensive assessment system. By merging personal trait data with organizational achievement data, the system predicts both individual performance and overall organizational outcomes simultaneously, resolving the contradiction between detailed individual measurement and macro-level prediction capability

Inventive Principle:
Principle #5Merging (Combining)

2Measurement precision

If only environmental factors are used to evaluate member activity, then individual activity can be quantified, but cooperative action prediction is insufficient

Engineering Contradiction:
Improvemember activity measurementVSAvoidcooperative action prediction accuracy
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The patent transforms the evaluation parameters from solely environmental factors to a multi-dimensional parameter set that includes personal traits, environmental factors, and their interactions. This parameter expansion enables the system to predict cooperative actions by considering how individual traits moderate the relationship between environmental factors and member activities, thereby improving prediction reliability

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS20250335840A1Cooperative action support system and cooperative action support method
Publication Date: 2025.10.30 HITACHI LTD
  • US20250335840A1 patent drawing
  • US20250335840A1 patent drawing
  • US20250335840A1 patent drawing

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.