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dc.contributor.authorHussain, Omar
dc.contributor.authorDillon, Tharam S.
dc.contributor.authorChang, Elizabeth
dc.contributor.authorHussain, Farookh Khadeer
dc.contributor.editorArjan Durresi, Leonard Barolli, Tomoya Enokido, Minoru Uehara, Elhadi Shakshuki and Makoto Takizawa
dc.date.accessioned2017-01-30T15:11:58Z
dc.date.available2017-01-30T15:11:58Z
dc.date.created2010-03-08T20:03:13Z
dc.date.issued2009
dc.identifier.citationHussain, Omar and Dillon, Tharam and Chang, Elizabeth and Hussain, Farookh Khadeer. 2009. A fuzzy inference model for risk based informed decision-making in e-business, in Durresi, A. and Barolli, L. and Enokido, T. and Uehara, M. and Shakshuki, E. and Makoto Takizawa (ed), The 12th International Conference on Network-Based Information Systems (NBiS 2009), Aug 19 2009, pp. 519-524. Indianapolis, USA: IEEE Computer Society.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/44073
dc.identifier.doi10.1109/NBiS.2009.85
dc.description.abstract

Since its invention, the web has considerably advanced and it now provides its users with sophisticated technologies and processes for facilitating interactions. This has enabled its users to complete their tasks by efficient ways, which reduces the duration of their interaction/s and in turn increases their productivity. But in such an environment, it is imperative for a user to make informed decisions in a proactive way by which it can achieve its aims and maximize its interaction experience. In the literature, various approaches have been proposed which a user can consider and utilize while making an interaction-based decision in web-based ecommerce. But at the same time the notion of risk has been considerably ignored in that domain; even though it has been mentioned in the literature that risk plays an important part while decision-making in any domain. So in order to have such an analysis of risk while decision-making, in this paper we highlight the importance of risk and then propose a fuzzy inference model for assisting risk-based decision making in e-commerce business interactions.

dc.publisherIEEE Computer Society
dc.subjectperceived risk
dc.subjectrisk propensity
dc.subjectdecision making
dc.titleA fuzzy inference model for risk based informed decision-making in e-business
dc.typeConference Paper
dcterms.source.startPage519
dcterms.source.endPage524
dcterms.source.titleProceedings of the 12th international conference on network-based information systems (NBiS 2009)
dcterms.source.seriesProceedings of the 12th international conference on network-based information systems (NBiS 2009)
dcterms.source.isbn9781424447466
dcterms.source.conferenceThe 12th International Conference on Network-Based Information Systems (NBiS 2009)
dcterms.source.conference-start-dateAug 19 2009
dcterms.source.conferencelocationIndianapolis, USA
dcterms.source.placeUSA
curtin.note

Copyright © 2009 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.

curtin.departmentDigital Ecosystems and Business Intelligence Institute (DEBII)
curtin.accessStatusOpen access
curtin.facultyCurtin Business School
curtin.facultyThe Digital Ecosystems and Business Intelligence Institute (DEBII)


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