Title: The quest for unbiased rating of the intellectual capital: value-based analytical detection and fuzzy-quantitative appraisal. Introducing the intellectual capital ontology analytics

Authors: Franco M. Battagello; Livio Cricelli; Michele Grimaldi

Addresses: Department of Enterprise Engineering, University of Rome 'Tor Vergata', Via del Politecnico, 1, 00133, Rome, Italy ' Department of Civil and Mechanical Engineering, University of Cassino and Southern Lazio, Via G. Di Biasio 43, 03043 Cassino (FR), Italy ' Department of Civil and Mechanical Engineering, University of Cassino and Southern Lazio, Via G. Di Biasio 43, 03043 Cassino (FR), Italy

Abstract: The purpose of this paper is to provide a candidate solution for a rational and unbiased quantitative appraisal of the intellectual capital (IC) and of its rating. This study is intended to fill a gap in IC evaluation and in the assessment of intangible assets (IAs), due to the qualitative nature of the taxonomy-based approaches traditionally used and to the discretionality that their application implies. This goal is achieved by the means of a procedural approach that mitigates the risk of subjectivity in IC taxonomy association and, at the same time, provides some tools for analysing the set of IAs included in the configuration of the IC. It also returns findings that are comparable with other organisations and can be used for unbiased benchmarking. Furthermore the meta-knowledge embedded in its outputs can be used for a more informed and rational resource allocation and management, investment strategy and business development.

Keywords: value creation; strategic resources; intellectual capital; intangible assets; ontology analytics; taxonomy; business development; business evaluation; resource assessment; investment decisions; asset portfolio; strategic decisions; knowledge management; fuzzy set theory; fuzzy AHP; analytical hierarchy process; FAHP; multicriteria decision making; MCDM; unbiased rating; quantitative appraisal; resource allocation; resource management; investment strategy.

DOI: 10.1504/IJIE.2014.066648

International Journal of Intelligent Enterprise, 2014 Vol.2 No.2/3, pp.118 - 141

Received: 30 Dec 2013
Accepted: 03 Jun 2014

Published online: 14 Jan 2015 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article