Tacit Knowledge Transfer via Digital Footprint Copying
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Solution Overview
Problem
Transferring tacit knowledge between users is challenging due to its intangible nature, often requiring extensive personal contact and trust, leading to potential loss of knowledge and increased burden on organizations when individuals leave or change roles.
Innovation Solution
A method and system that utilize digital footprints and techniques like spider programs, text analytics, and data mining to identify and extract relevant tacit knowledge from one user account and transfer it to another, reducing the loss of knowledge and facilitating smoother transitions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If tacit knowledge is transferred through extensive personal contact and trust, then transfer effectiveness is improved, but time consumption and organizational burden increase
Solution Approach 1:
The system creates a digital copy of the knowledge holder's digital footprint (browser history, emails, documents, metadata) and transfers this copy to the knowledge recipient. This copying approach allows tacit knowledge to be transferred without requiring extensive personal contact, as the digital replica contains the essential information patterns and contextual data needed for effective knowledge transfer.
Solution Approach 2:
The system introduces a digital footprint intermediary that automatically captures, processes, and transfers knowledge between users. This intermediary handles the complex tasks of data collection, analysis, and transfer, eliminating the need for direct extensive personal interaction while maintaining transfer effectiveness through automated mediation.
2Adaptability or versatility
If digital footprint analysis is performed to extract tacit knowledge, then knowledge transfer capability is improved, but system complexity increases
Solution Approach 1:
The system uses a universal digital footprint collector that can capture multiple types of data (browser history, emails, documents, metadata) through a single integrated mechanism. This multi-functional approach consolidates what would otherwise be multiple separate complex systems into one unified knowledge extraction platform, improving versatility while managing complexity.
Solution Approach 2:
The system automatically captures and processes digital footprints without requiring manual intervention or complex configuration. The automated collection and analysis processes serve themselves, reducing the operational complexity burden on users while maintaining high knowledge extraction capability through self-executing algorithms.
Data Source
AI summary
In an approach for transferring data between user accounts, a computer receives a request to transfer data from a first user account to at least a second user account. The computer identifies the first user account and the at least second user account. The computer determines activity associated with the first user account. The computer determines relevant activity from the determined activity associated with the first user account based on the received request.