Title: Evaluation of the human resources relevance in organisations via knowledge technologies and semantic social network analysis

Authors: Angelo Gaeta; Matteo Gaeta; Paolo Piciocchi; Pierluigi Ritrovato; Daniele Toti; Agostino Vollero

Addresses: Department of Information Engineering, Electric Engineering and Applied Mathematics (DIEM), University of Salerno, Via Giovanni Paolo II, 123, 84084 Fisciano (SA), Italy ' Department of Information Engineering, Electric Engineering and Applied Mathematics (DIEM), University of Salerno, Via Giovanni Paolo II, 123, 84084 Fisciano (SA), Italy ' Department of Political, Social and Communication Science (DPSCS), University of Salerno, Via Giovanni Paolo II, 123, 84084 Fisciano (SA), Italy ' Department of Information Engineering, Electric Engineering and Applied Mathematics (DIEM), University of Salerno, Via Giovanni Paolo II, 123, 84084 Fisciano (SA), Italy ' Department of Information Engineering, Electric Engineering and Applied Mathematics (DIEM), University of Salerno, Via Giovanni Paolo II, 123, 84084 Fisciano (SA), Italy ' Department of Political, Social and Communication Science (DPSCS), University of Salerno, Via Giovanni Paolo II, 123, 84084 Fisciano (SA), Italy

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.

Keywords: semantic models; semantic SNA; knowledge management; VSA; viable systems approach; HRM; human resource management; knowledge technologies; social network analysis; ARISTOTELE; decision support; criticality; influence; human resources; knowledge intensive firms.

DOI: 10.1504/IJKL.2014.068918

International Journal of Knowledge and Learning, 2014 Vol.9 No.3, pp.219 - 241

Received: 28 Oct 2013
Accepted: 01 Jan 2014
Published online: 20 Apr 2015 *

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