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    Determining the Level of Perceived Risk in e-business Web 2.0 Interactions

    116111_Determining%20the%20level%20of04690595.pdf (224.5Kb)
    Access Status
    Open access
    Authors
    Hussain, Omar
    Chang, Elizabeth
    Dillon, Tharam S.
    Date
    2008
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Hussain, Omar and Chang, Elizabeth and Dillon, Tharam. 2008. Determining the level of perceived risk in e-business Web 2.0 interactions, in Chung, J.Y. and Miller, S. and Qi, Y. (ed), IEEE International Conference on e-Business Engineering, Oct 22 2008, pp. 13-20. Xian, China: Institute of Electrical and Electronics Engineers (IEEE) Computer Society
    Source Title
    Proceedings of the IEEE international conference on e-business engineering (ICEBE 2008)
    Source Conference
    IEEE International Conference on e-Business Engineering (ICEBE 2008)
    DOI
    10.1109/ICEBE.2008.85
    ISBN
    9780769533957
    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/20.500.11937/41298
    Collection
    • Curtin Research Publications
    Abstract

    While making an interaction-based decision in the domain of e-commerce business interactions, it is important for the initiating agent of the interaction to analyze and consider the level of perceived risk in forming an interaction with an agent, apart from just considering the level of trust. By doing so the initiating agent would have all the concepts which would assist it in making an informed interaction-based decision in that domain. But for risk analysis in e-business interactions, it is important that the initiating agent considers and assesses the level of perceived risk in the interaction according to its object of analysis in that domain. In our previous work, we have identified the sub-categories of perceived risk in the domain of e-business interactions and proposed methodologies by which the initiating agent assesses and quantifies them. In this paper, we propose a novel approach by which the initiating agent by utlizing the determined sub-categories assesses and quantifies the numerical level and magnitude of perceived risk in forming an interaction with an agent.

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