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

Hussain, Omar; Chang, Elizabeth; Hussain,  Farookh Khadeer; Dillon, Tharam S.

doi:10.1109/DEST.2008.4635221

116011_getPDF.pdf (316.7Kb)

Access Status

Open access

Authors

Hussain, Omar

Chang, Elizabeth

Hussain, Farookh Khadeer

Dillon, Tharam S.

Date

2008

Type

Conference Paper

Metadata

Show full item record

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)

Source Conference

2nd International Conference on Digital Ecosystems and Technology (DEST 2008)

DOI

10.1109/DEST.2008.4635221

ISBN

9781424414895

Faculty

Curtin Business School

School of Economics and Finance

School

Centre for Extended Enterprises and Business Intelligence

Remarks

Copyright © 2008 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

URI

http://hdl.handle.net/20.500.11937/46484

Collection

Curtin Research Publications

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.