• DocumentCode
    2974511
  • 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
  • fYear
    2011
  • fDate
    18-20 March 2011
  • Firstpage
    1
  • Lastpage
    5
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society (NAFIPS), 2011 Annual Meeting of the North American
  • Conference_Location
    El Paso, TX
  • ISSN
    Pending
  • Print_ISBN
    978-1-61284-968-3
  • Electronic_ISBN
    Pending
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2011.5752001
  • Filename
    5752001