AUDIT FOCUSED ON THE RISK OF KNOWLEDGE LOSS AT A FEDERAL INSTITUTE OF EDUCATION
Knowledge management. Knowledge audit. Risk of loss of knowledge. Information audit. Risk management.
With the increasing complexity of professional and business environments, information and knowledge are essential resources for adaptation, learning and innovation. In this context, effective knowledge management in public administration helps organizations to face new challenges, implement innovative management practices and improve the quality of public processes, products and services for the benefit of the citizen-user and society in general. Considering that the output of a server that owns the mastery of organizational processes represents loss of organizational knowledge and requires new investments and time for training, the research problem presents itself with the following question: how to manage the risk of loss of knowledge in the context of a federal institute of education? Thus, the general objective of this research is to audit the risks of loss of knowledge considering the types of movement and output of servers of the Federal Institute of Education, Science and Technology of Rio Grande do Norte - Campus Natal Central. The achievement of this objective is through the following specific objectives: a) identify the causes of loss of knowledge; b) classify the risks of loss of knowledge; c) identify the perception of the importance of knowledge management tools and practices; and d) propose actions, tools and practices applicable to risk management and loss of knowledge. For this, the intelligence audit method proposed by Carvalho (2022) was used. The research had as approach method the inductive method, with statistical and monographic procedures. From the point of view of objectives, it is characterized as descriptive and with regard to nature as applied research. As for research techniques, bibliographic research, documentary research, questionnaire application and interviews were used. Data analysis was based on descriptive statistics and content analysis. Based on this, it was possible to identify that the main risk of loss of knowledge occurs due to retirement. To mitigate the risks of loss of knowledge identified, a guide to implementing recommendations based on knowledge management tools and practices is presented.