Title :
Can fuzzy logic predict consumer ethnocentric tendencies? An empirical analysis in Jordan
Author :
Ganideh, Saeb Farhan Al ; El Refae, Galeb A ; Aljanaideh, Mohammad
Author_Institution :
Dept. of Marketing, Al Zaytoonah Univ. of Jordan, Amman, Jordan
Abstract :
This paper applies fuzzy logic approach to examine consumer ethnocentrism level for Jordanians based on their socio-psychological variables namely, patriotism, nationalism and internationalism. To model the relationships between three inputs namely, patriotism, nationalism and internationalism and one output ethnocentrism MATLAB® ANFIS has been used, utilizing a sample of 341 Jordanians live in Amman city. Results indicate that fuzzy logic model can predict correctly consumers´ ethnocentric tendencies knowing their patriotic, nationalistic and internationalist feelings. Fuzzy logic approach shows that high level of nationalism leads consumers to be ethnocentric.
Keywords :
fuzzy logic; fuzzy reasoning; neural nets; social sciences computing; Amman city; Jordan; MATLAB ANFIS; adaptive neurofuzzy inference system; consumer ethnocentrism level; consumers ethnocentric tendencies; fuzzy logic approach; internationalism; patriotism; sociopsychological variables; Business; Cultural differences; Economics; Fuzzy logic; Globalization; Mathematical model; Psychology;
Conference_Titel :
Fuzzy Information Processing Society (NAFIPS), 2011 Annual Meeting of the North American
Conference_Location :
El Paso, TX
Print_ISBN :
978-1-61284-968-3
Electronic_ISBN :
Pending
DOI :
10.1109/NAFIPS.2011.5752001