A methodology for transactional risk assessment and decision making in e-business interactions

Hussain, O; Dillon, T; Chang, E; Hussain, F

A methodology for transactional risk assessment and decision making in e-business interactions

Hussain, O Dillon, T Chang, E Hussain, F

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Publication Type:: Conference Proceeding
Citation:: Proceedings - IEEE International Conference on e-Business Engineering, ICEBE 2009; IEEE Int. Workshops - AiR 2009; SOAIC 2009; SOKMBI 2009; ASOC 2009, 2009, pp. 157 - 164
Issue Date:: 2009-12-01

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Field	Value	Language
dc.contributor.author	Hussain, O	en_US
dc.contributor.author	Dillon, T	en_US
dc.contributor.author	Chang, E	en_US
dc.contributor.author	Hussain, F https://orcid.org/0000-0003-1513-8072	en_US
dc.date.issued	2009-12-01	en_US
dc.identifier.citation	Proceedings - IEEE International Conference on e-Business Engineering, ICEBE 2009; IEEE Int. Workshops - AiR 2009; SOAIC 2009; SOKMBI 2009; ASOC 2009, 2009, pp. 157 - 164	en_US
dc.identifier.isbn	9780769538426	en_US
dc.identifier.uri	http://hdl.handle.net/10453/29500
dc.description.abstract	The development and advancement of technologies have enabled users to complete their tasks efficiently. They have also provided them with various options and alternatives to complete and achieve their tasks. In such an environment, it is imperative for a user to make informed decisions that would ensure that its aims or objectives are achieved and its interaction experience is maximized. In the literature, various approaches for decision making have been proposed. But among those approaches, the notion of risk has been considerably ignored in the domain of e-business, despite its having been acknowledged as an important concept related to decision-making in any domain. In this paper, we propose a methodology by which users in an e-business domain can assess and analyze the level of transactional risk in the domain of e-business and then take it into consideration when making an informed interaction-based decision. © 2009 IEEE.	en_US
dc.relation.ispartof	Proceedings - IEEE International Conference on e-Business Engineering, ICEBE 2009; IEEE Int. Workshops - AiR 2009; SOAIC 2009; SOKMBI 2009; ASOC 2009	en_US
dc.relation.isbasedon	10.1109/ICEBE.2009.29	en_US
dc.title	A methodology for transactional risk assessment and decision making in e-business interactions	en_US
dc.type	Conference Proceeding
utslib.for	0804 Data Format	en_US
utslib.for	1203 Design Practice and Management	en_US
dc.location.activity	Macau, PEOPLES R CHINA	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Software
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

The development and advancement of technologies have enabled users to complete their tasks efficiently. They have also provided them with various options and alternatives to complete and achieve their tasks. In such an environment, it is imperative for a user to make informed decisions that would ensure that its aims or objectives are achieved and its interaction experience is maximized. In the literature, various approaches for decision making have been proposed. But among those approaches, the notion of risk has been considerably ignored in the domain of e-business, despite its having been acknowledged as an important concept related to decision-making in any domain. In this paper, we propose a methodology by which users in an e-business domain can assess and analyze the level of transactional risk in the domain of e-business and then take it into consideration when making an informed interaction-based decision. © 2009 IEEE.

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http://hdl.handle.net/10453/29500