What question did this study set out to answer?

The study aims to create a mathematical model that quantifies and enhances the diffusion of tacit knowledge in organizations.

Diffusion of tacit knowledge in a company: a mathematical model based on diffusion on graphs

View Full Paper

Ask AI

Bookmark

Authors

Research develops a mathematical model to enhance tacit knowledge transfer in organizations, suggesting implications for innovation and efficiency.

The study aims to create a mathematical model that quantifies and enhances the diffusion of tacit knowledge in organizations.
Uses graph theory and Fourier’s Law to model knowledge transfer.
Employs Tacit Knowledge Transfer Graphs (TKTG) with adjacency matrices.
Applies Jordan decomposition to identify optimal learning dynamics.
Conducts Monte Carlo simulations to analyze scheduling flexibility.
Identifies 'sources' and 'sinks' of knowledge through eigenvector centrality analysis.
Proves that TKTG-based sessions help balance knowledge deficiencies among employees.
Demonstrates that lower knowledge demands lead to more adaptable scheduling options.

Kycia et al. (2026) studied this question.

View Full Paper

Ask AI

Bookmark

Research develops a mathematical model to enhance tacit knowledge transfer in organizations, suggesting implications for innovation and efficiency.