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Quantifying the numeric and linguistic magnitude of perceived risk in e-commerce interactions for RDSS

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Open access
Authors
Hussain, Omar
Chang, Elizabeth
Hussain, Farookh Khadeer
Dillon, Tharam S.
Date
2008
Collection
Type
Conference Paper
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Abstract

In an e-commerce business interaction, the risk assessing agent by analyzing the possible level of perceived risk beforehand can make an informed decision of its future course of interaction with an agent. The perceived risk in the context of an e-commerce business interaction is a multidimensional construct which is the combination of its subcategories. In this paper we propose a methodology by which the risk assessing agent can ascertain the numeric and linguistic level of perceived risk in an interadion by combining its different subcategories.

Citation
Hussain, Omar and Chang, Elizabeth and Hussain, Farookh and Dillon, Tharam. 2008. Quantifying the numeric and linguistic magnitude of perceived risk in e-commerce interactions for RDSS, in Chang E. and Hussain F. (ed), International Conference on Digital Ecosystems and Technology, Feb 26 2008, pp. 604-610. Phitsanulok, Thailand: Institute of Electrical and Electronics Engineers (IEEE)
Source Title
Proceedings of the 2nd international conference on digital ecosystems and technologies (DEST 2008)
URI
DOI
Faculty
Curtin Business School
School of Economics and Finance
Department
Centre for Extended Enterprises and Business Intelligence
Remarks

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