Electronic International Standard Serial Number (EISSN)
1758-7859
abstract
Purpose &- The aim of this paper is to present a tool which uses semantic technologies for personnel performance and workplace learning assessment in outsourced information technology environments. Design/methodology/approach &- The paper presents the tool from a technical perspective and introduces a use case that depicts the main features related to human resource management issues. Findings &- Semantic technologies enable the monitoring of personnel throughout all of the phases of the management of outsourcing, basing itself on established communication standards used in leading business management tools and recent outsourcing efforts. This monitoring provides to human resource management issues an integrated approach to assess both employee performance and learning outcomes as a result of competence evaluation. Originality/value &- The paper shows that semantic technologies can be applied to human resource management tools to bring its intrinsic characteristics to human resource management tasks including personnel and learning assessment.