Quantifying the numeric and linguistic magnitude of perceived risk in e-commerce interactions for RDSS
In an e-commerce business interaction, the risk assessing agent by analyzing the possible level of perceived risk beforehand can make an informed decision of its future course of interaction with an agent. The perceived risk in the context of an e-commerce business interaction is a multidimensional...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Conference Paper |
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Institute of Electrical and Electronics Engineers (IEEE)
2008
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| Online Access: | http://hdl.handle.net/20.500.11937/46484 |
| _version_ | 1848757570716565504 |
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| author | Hussain, Omar Chang, Elizabeth Hussain, Farookh Khadeer Dillon, Tharam S. |
| author2 | Elizabeth Chang |
| author_facet | Elizabeth Chang Hussain, Omar Chang, Elizabeth Hussain, Farookh Khadeer Dillon, Tharam S. |
| author_sort | Hussain, Omar |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In an e-commerce business interaction, the risk assessing agent by analyzing the possible level of perceived risk beforehand can make an informed decision of its future course of interaction with an agent. The perceived risk in the context of an e-commerce business interaction is a multidimensional construct which is the combination of its subcategories. In this paper we propose a methodology by which the risk assessing agent can ascertain the numeric and linguistic level of perceived risk in an interadion by combining its different subcategories. |
| first_indexed | 2025-11-14T09:30:12Z |
| format | Conference Paper |
| id | curtin-20.500.11937-46484 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:30:12Z |
| publishDate | 2008 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-464842022-12-07T06:50:50Z Quantifying the numeric and linguistic magnitude of perceived risk in e-commerce interactions for RDSS Hussain, Omar Chang, Elizabeth Hussain, Farookh Khadeer Dillon, Tharam S. Elizabeth Chang Farookh Hussain possibility theory and fuzzy sets Perceived risk performance risk financial risk In an e-commerce business interaction, the risk assessing agent by analyzing the possible level of perceived risk beforehand can make an informed decision of its future course of interaction with an agent. The perceived risk in the context of an e-commerce business interaction is a multidimensional construct which is the combination of its subcategories. In this paper we propose a methodology by which the risk assessing agent can ascertain the numeric and linguistic level of perceived risk in an interadion by combining its different subcategories. 2008 Conference Paper http://hdl.handle.net/20.500.11937/46484 10.1109/DEST.2008.4635221 Institute of Electrical and Electronics Engineers (IEEE) fulltext |
| spellingShingle | possibility theory and fuzzy sets Perceived risk performance risk financial risk Hussain, Omar Chang, Elizabeth Hussain, Farookh Khadeer Dillon, Tharam S. Quantifying the numeric and linguistic magnitude of perceived risk in e-commerce interactions for RDSS |
| title | Quantifying the numeric and linguistic magnitude of perceived risk in e-commerce interactions for RDSS |
| title_full | Quantifying the numeric and linguistic magnitude of perceived risk in e-commerce interactions for RDSS |
| title_fullStr | Quantifying the numeric and linguistic magnitude of perceived risk in e-commerce interactions for RDSS |
| title_full_unstemmed | Quantifying the numeric and linguistic magnitude of perceived risk in e-commerce interactions for RDSS |
| title_short | Quantifying the numeric and linguistic magnitude of perceived risk in e-commerce interactions for RDSS |
| title_sort | quantifying the numeric and linguistic magnitude of perceived risk in e-commerce interactions for rdss |
| topic | possibility theory and fuzzy sets Perceived risk performance risk financial risk |
| url | http://hdl.handle.net/20.500.11937/46484 |