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• W4367021809 abstract "This study is conducted to understand consumers’ preferences with different demographic variables on their car purchase decision based on features the car offers and the cost consciousness variables considered mainly by consumers, as suggested by previous studies on this topic. The judgmental survey method was used for this research using a structured & non-disguised questionnaire to collect the responses. The pilot survey was used to understand the instrument’s reliability and validity total of 200 respondents were contacted, but 143 responses were received. The response rate was almost 72% of the reached respondents. But, only 103 usable responses were considered for analysis as there were 40 responses found not to be a worthwhile while. 13 were inconsistent with their answers, 22 had missing values with essential questions, and the remaining 5 were outliers in their response. The shortlisted sample size (with almost 50% responses) is adequate for this type of research. Factor analysis with PCA is performed to group the variables and define the dependent variables for this study. The two dependent variables were defined from this. They are described as features of the cars and cost consciousness. Then ANOVA is used to get p-values for the regression scores of the independent demographic variables to understand the impact. The findings of this study show that none of the essential demographic variables of consumers (here gender, education, occupation and age) has shown a significant impact with features and cost consciousness as dependent variables in car purchase decisions. These findings contradict the studies done in the past. It is find from this study, that the consumers are more fashion-conscious and environmentally conscious than cost-conscious. This result may be because of the characteristics of the sample, which shows that there is no significant impact of any of the demographic variables on the car purchase decision based on the feature of the car as well as cost-consciousness factors like resale value, maintenance and fuel. The results of this study may change if the sample contains equal percentages of the consumers for all the demographic factors. The results may vary if the sample has more part-time employees and other types such as students, retired and unemployed." @default.
• W4367021809 created "2023-04-27" @default.
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• W4367021809 date "2023-01-01" @default.
• W4367021809 modified "2023-10-02" @default.
• W4367021809 title "Factors Influencing Consumer Decision to Purchase a Car" @default.
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• W4367021809 doi "https://doi.org/10.21272/mmi.2023.1-03" @default.
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