Now showing items 1-3 of 3

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    A Cross-Vergence of Consumer Preferences: An Empirical Study of Ethnic Subgroups in Thailand 

    Amonrat Thoumrungroje (2012)

    Building on Bandura’s (2002) social cognitive theory and Phinney’s (1993) three-stage model of ethnic formation, this study explores the trends towards cross-vergence of consumers’ demand in the globalization era. The results from an exploratory factor analysis aiming to identify the underlying benefits that consumers of three different ethnic subgroups in Thailand have towards a non-ethnic consumer product confirms the crossvergence thesis. Thus, both sociology and psychology literature complements each other in explaining both the ...
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    Extending the Socio-Economic Status (SES) Prediction System Based on the Thailand Marketing Research Society (TMRS) Standardized SES Classification for Thai Upcountry Urban Subjects 

    Jirayut Poomontre; Pisal Setthawong (2016)

    This research proposes an extension to the prediction system of socio-economic status (SES) by using asset ownership data, that the authors proposed previously on subjects based in Bangkok, to include Thai upcountry urban subjects. The prediction system is based on the standardized SES classification that is proposed by the Thailand Marketing Research Society (TMRS) and widely adopted by marketing research firms in Thailand. The paper describes the TMRS SES classification briefly, proposes a prediction system for Thai upcountry urban subjects ...
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    A Prediction System Based on the TMRS Standardized Socio-Economic Status (SES) Classification of Bangkok and Metropolian Subjects 

    Jirayut Poomontre; Pisal Setthawong (2015-01)

    The paper proposes a prediction system for socio-economic status (SES) classification of Bangkok and metropolitan subjects. The SES classification is based on the standardized SES classification that was proposed by the Thailand Marketing Research Society (TMRS) with the support of the National Statistical Office (NSO), and widely adopted by local marketing research firms. Extending the author’s previous work on the standardized TMRS SES classification, the paper describes a prediction system that was developed to classify Bangkok and ...