HCM Master Taxonomy for Granular Job Classification
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Solution Overview
Problem
Human-capital management (HCM) business entities face challenges in establishing a standardized job-classification taxonomy and data-management solution, as existing taxonomic structures are not granular enough to support HCM market needs, leading to the development of numerous disparate job-classification schemas.
Innovation Solution
A method and system for configuring a human-capital-management (HCM) master taxonomy with multiple levels, including a job-species and job-family level, and transforming human-capital information using an HCM language library to classify data into a job-family node, enabling accurate classification and management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing taxonomic structures (e.g., Standard Occupational Classification) are used, then broad coverage is achieved, but granularity and specificity are insufficient for HCM needs
Solution Approach 1:
The taxonomy is segmented into multiple hierarchical levels (Level 1: Major Occupational Groups, Level 2: Occupational Families, Level 3: Occupational Groups, Level 4: Occupational Subgroups, Level 5: Detailed Occupational Categories) to provide both broad coverage and fine-grained specificity. Each level breaks down occupations into progressively more detailed categories, enabling HCM entities to select the appropriate level of granularity for their needs.
Solution Approach 2:
The patent introduces a multi-dimensional classification framework that combines hierarchical occupational categorization with separate dimensionality for fine-grain attributes (skills, knowledge, abilities, other characteristics). This allows the system to maintain a manageable taxonomy structure while achieving high granularity through the combination of hierarchical levels and attribute dimensions.
2Adaptability or versatility
If custom job-classification constructs are developed by each HCM entity, then specific needs are met, but industry standardization and interoperability are lost
Solution Approach 1:
The taxonomy is designed as a universal framework that can serve multiple HCM functions and industries. It provides a common language and classification structure that enables interoperability across different HCM entities while allowing each organization to customize their use through selection of appropriate levels and attributes. The standard includes mechanisms for both prescriptive classification and flexible adaptation.
Solution Approach 2:
The taxonomy structure is designed to be dynamic and adaptable, allowing HCM entities to adjust the level of detail and classification depth based on their specific needs. The system supports both standardized classification for industry-wide interoperability and customized classification for organization-specific requirements, enabling the framework to evolve and adapt to changing HCM needs.
3Quantity of substance
If fine-grain attributes are collected without structured categorization, then detailed information is captured, but accurate classification is compromised
Solution Approach 1:
The patent applies local quality by assigning specific fine-grain attributes (skills, knowledge, abilities, other characteristics) to appropriate nodes within the hierarchical taxonomy structure. Each occupational category has relevant attributes tailored to that specific occupation type, ensuring that detailed information is captured and organized in a contextually appropriate manner that enhances classification accuracy.
Solution Approach 2:
The hierarchical taxonomy structure serves as an intermediary framework that organizes and contextualizes fine-grain attributes. Rather than collecting attributes in isolation, the system uses the occupational classification hierarchy to mediate between raw attribute data and meaningful classification, ensuring that detailed information is structured in a way that drives accurate classification.
Data Source
AI summary
A method includes configuring a human-capital-management (HCM) master taxonomy and a HCM language library. The HCM master taxonomy includes a plurality of levels that range from more general to more specific, each level of the plurality of levels comprising a plurality of nodes. The plurality of levels include a job-species level and a job-family level, the job-species level including a level of greatest specificity in the plurality of levels, the job-family level including a level of specificity immediately above the job-species level. In addition, the method includes transforming human-capital information via the HCM language library. Further, the method includes classifying the transformed human-capital information into a job-family node selected from the plurality of nodes at the job-family level.