DocumentCode :
1588538
Title :
Ascertaining the Semantic and Linguistic Level of Perceived Risk in e-Business Interactions
Author :
Hussain, Omar ; Chang, Elizabeth ; Dillon, Tharam ; Hussain, Farookh
Author_Institution :
Digital Ecosyst. & Bus. Intell. Inst., Curtin Univ. of Technol., Bentley, WA
fYear :
2008
Firstpage :
723
Lastpage :
727
Abstract :
By analyzing the level of perceived risk in the domain of e-business, the interaction initiating agent can determine before hand whether or not it will achieve its desired outcomes and the associated consequences to it in interacting with the other agent. In our previous work, we have proposed a methodology by which the initiating agent ascertains the numeric level of perceived risk in forming an interaction. In this paper, we propose a methodology by which the initiating agent of the interaction determines the semantic level of perceived risk, for it to be utilized while making an informed interaction-based decision with an agent.
Keywords :
electronic commerce; investment; risk management; e-business interactions; interaction initiating agent; interaction-based decision; linguistic level; risk; semantics; Ecosystems; Fuzzy sets; Fuzzy systems; Intelligent agent; Investments; Mathematical model; Natural languages; Risk analysis; Security; Spine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
e-Business Engineering, 2008. ICEBE '08. IEEE International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-0-7695-3395-7
Type :
conf
DOI :
10.1109/ICEBE.2008.120
Filename :
4690694
Link To Document :
بازگشت