Quantitative Balanced Scorecard Assessment via Hierarchical Tree Analysis
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Solution Overview
Problem
Current tools for balanced scorecards do not allow for a quantitative measure of balance, leading to potential inaccuracies and unreliability in assessing organizational performance.
Innovation Solution
A computer-implemented method that processes a balanced scorecard to generate a hierarchical tree, classify parent to child relationships, identify quantitative associations, and assess balance within the scorecard, using a computer-readable storage medium with executable instructions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional balanced scorecard tools are used, then qualitative assessment of organizational performance is enabled, but quantitative measurement of balance is not available
Solution Approach 1:
The patent segments the balanced scorecard into a hierarchical tree structure with parent-child relationships, dividing the assessment into measurable components. Each node in the tree represents a specific metric or objective that can be quantitatively evaluated, allowing the system to measure balance through mathematical relationships between segmented elements rather than treating the scorecard as an indivisible qualitative tool.
Solution Approach 2:
The patent transforms the balanced scorecard from a qualitative assessment tool into a quantitative measurement system by assigning numerical parameters to hierarchical relationships. The system calculates balance metrics using mathematical parameters such as the number of children nodes, depth of hierarchy, and weighted scores, converting subjective qualitative judgments into objective quantitative measurements.
2Reliability
If hierarchical tree structure is implemented, then quantitative associations among parent-child relationships are identified, but processing complexity increases
Solution Approach 1:
The patent performs preliminary classification of parent-child relationships in the hierarchical tree before conducting the balance assessment. By pre-establishing the hierarchical structure and relationships, the system prepares the data in advance for quantitative analysis, ensuring consistent measurement criteria are applied throughout the assessment process and reducing processing complexity during the actual evaluation.
Solution Approach 2:
The system implements feedback mechanisms by calculating balance metrics based on hierarchical relationships and using these metrics to assess the overall balance of the balanced scorecard. The quantitative associations identified in the hierarchical tree provide feedback on whether the scorecard maintains proper balance among different objectives and metrics, enabling iterative refinement and consistent measurement.
Data Source
AI summary
A computer-readable storage medium to direct a computer to function in a specified manner includes executable instructions to: process a balanced scorecard to generate a hierarchical tree; classify the parent to child relationships in the hierarchical tree; identify the quantitative associations among the parent to child relationships; and assess the balance within the balanced scorecard.