A methodology for transactional risk assessment and decision making in e-business interactions
|dc.contributor.author||Dillon, Tharam S.|
|dc.contributor.author||Hussain, Farookh Khadeer|
|dc.contributor.editor||Zhiguo Gong, Francis Lau and Jen-Yao Chung|
|dc.identifier.citation||Hussain, Omar and Dillon, Tharam and Chang, Elizabeth and Hussain, Farookh Khadeer. 2009. A methodology for transactional risk assessment and decision making in e-business interactions, in Gong, Z and Lau, F. and Chung, J-Y. (eds), IEEE International Conference on e-Business Engineering (ICEBE), Oct 21 2009, pp. 157-164. Macau, China: IEEE.|
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.
|dc.title||A methodology for transactional risk assessment and decision making in e-business interactions|
|dcterms.source.title||Proceedings of the IEEE international conference on e-business engineering (ICEBE)|
|dcterms.source.series||Proceedings of the IEEE international conference on e-business engineering (ICEBE)|
|dcterms.source.conference||IEEE International Conference on e-Business Engineering (ICEBE)|
|dcterms.source.conference-start-date||Oct 21 2009|
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.department||Digital Ecosystems and Business Intelligence Institute (DEBII)|
|curtin.faculty||Curtin Business School|
|curtin.faculty||The Digital Ecosystems and Business Intelligence Institute (DEBII)|