Title
Evaluation Of The Human Resources Relevance In Organisations Via Knowledge Technologies And Semantic Social Network Analysis
Abstract
This paper reports the results of the ARISTOTELE methodology for decision support on human resource management (HRM) implemented in the Relevance Analysis tool. The Relevance Analysis is devoted to provide a systemic way to map human resources on the basis of their relevance in an organisation, and for taking informed decisions. Relevance is a combination of two factors: i) Criticality, an attribute to establish the attention degree that the organisation must pay to assess the importance of the 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 organisation and with other human resources. We show how exploiting the ARISTOTELE's semantic models and semantic social network analysis (SNA) capabilities it is possible to quantify the Criticality and Influence of human resources in a knowledge intensive organisation. We present the software solution and experimental results.
Year
DOI
Venue
2014
10.1504/IJKL.2014.068918
INTERNATIONAL JOURNAL OF KNOWLEDGE AND LEARNING
Keywords
Field
DocType
semantic models, semantic SNA, knowledge management, VSA, viable systems approach, HRM, human resource management
Relevance analysis,Viable systems approach,Human resource management,Human resources,Computer science,Decision support system,Social network analysis,Knowledge management,Software,Semantic social network,Management science
Journal
Volume
Issue
ISSN
9
3
1741-1009
Citations 
PageRank 
References 
4
0.53
15
Authors
5
Name
Order
Citations
PageRank
angelo gaeta114015.70
Matteo Gaeta273568.48
Paolo Piciocchi3143.06
Pierluigi Ritrovato441554.50
Agostino Vollero5111.61