DocumentCode
2663874
Title
Towards an Ontological Intellectual Capital Based Model in Sustainable Business Performance
Author
Zadjabbari, B. ; Wongthongtham, P. ; Hussain, Farookh Khadeer
Author_Institution
Digital Ecosyst. & Bus. Intell. Inst., Perth, WA, Australia
fYear
2008
fDate
10-12 Dec. 2008
Firstpage
512
Lastpage
515
Abstract
In this paper, we focus on the returns generated by assets that are not reported. These refer mainly to the assets other than those reported on the balance sheet. These sources create value to organisations. Traditional capital e.g. physical and human capitals cannot guarantee future success of a business. We define and include social capital as an internal-based source and market capital as an external-based source for sustainable business performance. These intangible assets may represent a huge source but at the same time they are the hardest to quantify and express numerically and tangibly. There is a lack of a standard metric method to measure this kind of knowledge and assests. Ontology, a particular type of knowledge based technology, can be used to help understand how knowledge within organisations creates value. By making knowledge explicit and transparent, it promotes trust which in turn promotes governance. Generally speaking, an ontology is used to explicitly express how the intellectual capital is valued and thus results are sensible for managers. The ontology enables evidence based formation of knowledge valuation.
Keywords
business data processing; knowledge based systems; knowledge management; ontologies (artificial intelligence); internal-based source; knowledge based technology; knowledge valuation; ontological intellectual capital based model; organisational knowledge; social capital; sustainable business performance; Australia; Communication channels; Cost accounting; Disaster management; Ecosystems; Humans; Knowledge management; Measurement standards; Ontologies; Social network services; Intellectual capital; Ontology; Sustainable business performance;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence for Modelling Control & Automation, 2008 International Conference on
Conference_Location
Vienna
Print_ISBN
978-0-7695-3514-2
Type
conf
DOI
10.1109/CIMCA.2008.13
Filename
5172678
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