Protocol for Identifying and Retaining Critical Knowledge in a Public Health Administration
Otros/as autores/as
Fecha de publicación
2024ISSN
2079-8954
Resumen
The Secretary of Public Health (SSP) faces a looming skills gap due to retirements and rotations
of civil service staff. Critical knowledge retention is crucial across all generational cohorts due to
the retirement and turnover of workers. This study develops a protocol that addresses the knowledge
retention needs of the four generations (Baby Boomers, X, Y, Z) that coexist in the workforce to ensure
the continuity of the Public Health Secretariat. The objective of the study is to develop a protocol for
the management, transfer, and retention of critical knowledge. A scoping review is conducted in Scopus
and Web of Science to develop the protocol, to identify critical knowledge workers through tool
scores. The instrument developed in this research includes two pilots on Baby Boomer and Millennial
workers. Both workers had critical and essential knowledge for the continuity of the organisation.
The Baby Boomer worker presented a higher amount of tacit, operational, and individually owned
knowledge, while the Millennial worker showed a predominance of tacit technological knowledge.
This protocol provides a practical and adaptable approach to identifying and prioritising critical
knowledge holders, allowing organisations to map and determine the amount of essential knowledge
within the workforce. An important limitation of the study is the small sample of workers who
participated in the pilot test of the protocol. Further research is therefore recommended in other
public administrations and across all generations in employment.
Tipo de documento
Artículo
Lengua
Inglés
Palabras clave
Gestió del coneixement
Competències professionals
Jubilació
Páginas
16 p.
Publicado por
MDPI
Citación
Arimany-Serrat, N., Antentas-Peraile, M., & Tarrats-Pons, E. (2024). Protocol for Identifying and Retaining Critical Knowledge in a Public Health Administration. Systems, 12(11), Article 11. https://doi.org/10.3390/systems12110505
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