Exploiting Semantic Models and Techniques to Evaluate Relevance of Human Resources in Knowledge Intensive Organizations

This paper reports the results of the ARISTOTELE methodology for decision support on Human Resource Management and, in particular, of one of the most important tool of the methodology, i.e. the Relevance Analysis. The Relevance Analysis is devoted at providing a systemic way to map human resources on the basis of their relevance in an organization, and take informed decisions. We have defined a model and a methodology to quantify relevance of the human resources with respect to key processes of an organization. Relevance is a combination of two factors: i) Criticality, an attribute to establish the attention degree that the organization must pay to assess the importance of human resource, ii) Influence, an attribute to establish the degree of influence the human resource can exert in placing limits, indicating rules and regulations in the organization and with other human resources. We will show how exploiting the ARISTOTELE results on the semantic models and semantic Social Network Analysis is possible to quantify the Criticality and Influence of human resources in a knowledge intensive organization.