HUBUNGAN ANTARA CITRA MEREK, USIA, DAN JUMLAH PENGHASILAN DENGAN PREFERENSI PEMBELIAN PADA KONSUMEN MOBIL JENIS SUV KELAS ATAS

Cars not only as a tertiary requirement, but also a complex product purchase decisions, because the risky, expensive, and shows the status of the wearer. Marketers or car manufacturers have to learn about the reasons why consumers prefer one and buy a good or service, rather than other goods or serv...

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Bibliographic Details
Main Authors: , Tri Rahayuningsih, , Fathul Himam, Ph.D
Format: Thesis
Published: [Yogyakarta] : Universitas Gadjah Mada 2012
Subjects:
ETD
Description
Summary:Cars not only as a tertiary requirement, but also a complex product purchase decisions, because the risky, expensive, and shows the status of the wearer. Marketers or car manufacturers have to learn about the reasons why consumers prefer one and buy a good or service, rather than other goods or services.This study tries to see the car buying preferences more thoroughly the role of brand image upscale SUVs, age and income of the male consumer. Subjects in this study were as many as 65 people selected respondents in a way that is aimed at buyers of brand SUV Honda CRV, Toyota Fortuner, Mitsubishi Pajero and the male members of the community that there are cars on the internet, is considered to have met the characteristics of research subjects (purposive sampling ). The method used in this study is to use the purchases preference scale of SUVs and SUV Brand Image scale. The results were analyzed using multiple regression analysis with SPSS 16. The results showed that there is a relationship between the brand image of the independent variables, age, and total income with the dependent variable car purchases preference with a value R = 0.788 and the coefficient of determination R Square = 0.621 means that changes in the preference of purchase variation can be explained by three variables predictor (brand image, age, and total income) of 62.1%.The next largest contribution of the variable re-analyzed brand image and show that the most dominant attribute factors in predicting purchase preferences.