International Journal of Computer Techniques Volume 12 Issue 3 | Preserving Critical Domain Knowledge During Legacy Retirement System Modernization: A Knowledge Transfer Framework
Preserving Critical Domain Knowledge During Legacy Retirement System Modernization
International Journal of Computer Techniques – Volume 12 Issue 3, May – June – 2025 | ISSN: 2394-2231
Abstract
This article addresses the challenge of knowledge transfer in legacy retirement record-keeping systems undergoing modernization as subject matter experts (SMEs) approach retirement. We propose a structured **Knowledge Transfer Framework (KTF)** integrating tacit and explicit knowledge capture methodologies with digital preservation techniques. Case studies show that organizations implementing structured knowledge transfer achieve **37% faster implementation** and **42% fewer post-modernization incidents**.
Keywords
Knowledge Transfer, Legacy System Modernization, Digital Preservation, Retirement Administration, Knowledge Management
Conclusion
This research highlights the importance of knowledge transfer in retirement system modernization. By integrating structured knowledge protocols, organizations can significantly improve implementation efficiency and system reliability. Future research should explore AI-assisted knowledge elicitation techniques and comparative effectiveness of knowledge transfer methods in different organizational cultures.
References
- Davidson, L., & Schultz, M. (2023). Domain-specific knowledge categories in financial systems modernization. Journal of Information Technology Management.
- Gupta, R., & Edwards, T. (2023). Measuring knowledge transfer effectiveness in IT transformation. Knowledge Management Research & Practice.
- Henderson, K. (2024). AI-assisted knowledge elicitation techniques for domain experts. Expert Systems with Applications.
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