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http://hdl.handle.net/1942/1488
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DC Field | Value | Language |
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dc.contributor.author | BRIJS, Kris | - |
dc.contributor.author | VANHOOF, Koen | - |
dc.contributor.author | BRIJS, Tom | - |
dc.contributor.author | KARLIS, Dimitris | - |
dc.date.accessioned | 2007-05-14T10:01:44Z | - |
dc.date.available | 2007-05-14T10:01:44Z | - |
dc.date.issued | 2006 | - |
dc.identifier.citation | Torra, V. & Narukawa, Y. & Valls, A. & Domingo-Ferrer, J. (Ed.) Modeling Decisions for Artificial Intelligence, 3th International Conference. p. 138-149. | - |
dc.identifier.isbn | 3-540-32780-0 | - |
dc.identifier.uri | http://hdl.handle.net/1942/1488 | - |
dc.description.abstract | Several researchers on country-of-origin (coo) have expressed their interest in knowing how consumers’ emotional reactions toward coo-cues affect product attitude formation. This paper shows how Fuzzy Set Theory might serve as a useful approach to that problem. Data was gathered by means of selfadministered questionnaires. Technically, orness of OWA-operators enabled us to distinguish consumers expressing highly positive versus less positive emotions toward coo. It appeared that this variance in emotional estate goes together with a difference in aggregating product-attribute beliefs. | - |
dc.format.extent | 202752 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | en | - |
dc.publisher | Springer | - |
dc.relation.ispartofseries | Lecture Notes in Computer Science | - |
dc.title | Using Fuzzy Set Theory to Assess Country-of-Origin Effects on the Formation of Product Attitude. | - |
dc.type | Proceedings Paper | - |
local.bibliographicCitation.authors | Torra, V. | - |
local.bibliographicCitation.authors | Narukawa, Y. | - |
local.bibliographicCitation.authors | Valls, A. | - |
local.bibliographicCitation.authors | Domingo-Ferrer, J. | - |
local.bibliographicCitation.conferencedate | 2006 | - |
local.bibliographicCitation.conferencename | Modeling Decisions for Artificial Intelligence | - |
local.bibliographicCitation.conferenceplace | Tarragona, Spain | - |
dc.identifier.epage | 149 | - |
dc.identifier.spage | 138 | - |
local.bibliographicCitation.jcat | C1 | - |
local.type.refereed | Refereed | - |
local.type.specified | Proceedings Paper | - |
local.relation.ispartofseriesnr | 3885 | - |
dc.bibliographicCitation.oldjcat | C1 | - |
dc.identifier.isi | 000237084600015 | - |
local.bibliographicCitation.btitle | Modeling Decisions for Artificial Intelligence, 3th International Conference | - |
item.validation | ecoom 2007 | - |
item.contributor | BRIJS, Kris | - |
item.contributor | VANHOOF, Koen | - |
item.contributor | BRIJS, Tom | - |
item.contributor | KARLIS, Dimitris | - |
item.accessRights | Open Access | - |
item.fullcitation | BRIJS, Kris; VANHOOF, Koen; BRIJS, Tom & KARLIS, Dimitris (2006) Using Fuzzy Set Theory to Assess Country-of-Origin Effects on the Formation of Product Attitude.. In: Torra, V. & Narukawa, Y. & Valls, A. & Domingo-Ferrer, J. (Ed.) Modeling Decisions for Artificial Intelligence, 3th International Conference. p. 138-149.. | - |
item.fulltext | With Fulltext | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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using fuzzy.pdf | Peer-reviewed author version | 198 kB | Adobe PDF | View/Open |
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