Article: Transportation Research Part A
“An Empirical investigation of the impact of behavioral and psychographic consumer characteristics on car preferences: An integrated model of car type choice. “
Over the last past three decades, dating back to 1979 until present, various people have studied consumer motives in car purchases. The intent is to try to build a multinomial, or nested model that can predict the type cars that people will purchase based on their location, income and motivation. These organization think that if they can predict what motivates people to buy specific car types, then they could assist policy makes in adopting law for environmental, and highways construction. They also feel that it would assist manufactures in predicting the type of cars that should be produced.
Mr. George Baltas, and Charalampose Saridakis at Athens University of Economics and Business Department of Marketing and Communication, feel that the prior studies are lacking and should incorporate various unexplored factors. They are attempting to develop a baseline disaggregate multinomial choice model of car type choices , while incorporating some unexplored factors that they feel should be included in the statistic formulas.
Mr. Baltas and Mr. Saridakis, feel that being able to predict the type of car that will be purchased in the future plays an important role in the planning and policy making of several organizations such as the Department of Energy, Highway Department, Environmental, and manufacture as well as dealers. They feel that the model they are trying to build will assist the Department of Energy forecast fuel consumption, the Highway Depart to predict the types of road construction necessary to accommodate the future highway congestion, the Environmental Department to forecast air pollution and adopt policies that will help to keep clean air, and Manufactures and Car Dealers to predict the types of car people will be searching for.
They conducted a large scale survey that consisted of 1622 consumers. They examined consumer buying behavior and preferences in the car market. The dependent variable of most preferred car type was broken down into 12 vehicle categories.
Segment A: Mini Cars
Segment B: Super Mini Cars
Segment C: Small Family Cars
Segment D: Medium Sized Car
Segment E: Large Family Car
Segment F: Luxury Car
Segment G: SUV’s
Segment H: MPV’s
Segment I: Coupes
Segment J: Cabriolets
Segment K: Roadsters
Segment L: Station Wagons
In Mr. Baltas and Mr. Sardakis multinomial logit study they incorporated the effects of car characteristics, demographics, driver characteristics, purpose of car use, pre-purchase information source used, consumer’s involvement with cars, and consumer’s attachment to cars. They said that earlier studies examined vehicle attributes (e.g., purchase and operating cost, horse power, and scrap rate), household characteristics (e.g., household structure, and income), and primary driver demographic characteristics (e.g., gender and age) as factors that affect consumer vehicle type purchase or holding choice behavior. In their study they showed that intangible-subjective variables were an important determinant in car type choices, in ways that are relevant to marketing managers and transportation planners.
They mailed out 1622 surveys and received 1586 back. Of those 1586 surveys returned the empirical findings provides strong evidence in support of the relevant hypotheses regarding the impact of the chosen variables on car type choices.
Article: Transportation Research Part A
“An Empirical investigation of the impact of behavioral and psychographic consumer characteristics on car preferences: An integrated model of car type choice. “
Over the last past three decades, dating back to 1979 until present, various people have studied consumer motives in car purchases. The intent is to try to build a multinomial, or nested model that can predict the type cars that people will purchase based on their location, income and motivation. These organization think that if they can predict what motivates people to buy specific car types, then they could assist policy makes in adopting law for environmental, and highways construction. They also feel that it would assist manufactures in predicting the type of cars that should be produced.
Mr. George Baltas, and Charalampose Saridakis at Athens University of Economics and Business Department of Marketing and Communication, feel that the prior studies are lacking and should incorporate various unexplored factors. They are attempting to develop a baseline disaggregate multinomial choice model of car type choices , while incorporating some unexplored factors that they feel should be included in the statistic formulas.
Mr. Baltas and Mr. Saridakis, feel that being able to predict the type of car that will be purchased in the future plays an important role in the planning and policy making of several organizations such as the Department of Energy, Highway Department, Environmental, and manufacture as well as dealers. They feel that the model they are trying to build will assist the Department of Energy forecast fuel consumption, the Highway Depart to predict the types of road construction necessary to accommodate the future highway congestion, the Environmental Department to forecast air pollution and adopt policies that will help to keep clean air, and Manufactures and Car Dealers to predict the types of car people will be searching for.
They conducted a large scale survey that consisted of 1622 consumers. They examined consumer buying behavior and preferences in the car market. The dependent variable of most preferred car type was broken down into 12 vehicle categories.
Segment A: Mini Cars
Segment B: Super Mini Cars
Segment C: Small Family Cars
Segment D: Medium Sized Car
Segment E: Large Family Car
Segment F: Luxury Car
Segment G: SUV’s
Segment H: MPV’s
Segment I: Coupes
Segment J: Cabriolets
Segment K: Roadsters
Segment L: Station Wagons
In Mr. Baltas and Mr. Sardakis multinomial logit study they incorporated the effects of car characteristics, demographics, driver characteristics, purpose of car use, pre-purchase information source used, consumer’s involvement with cars, and consumer’s attachment to cars. They said that earlier studies examined vehicle attributes (e.g., purchase and operating cost, horse power, and scrap rate), household characteristics (e.g., household structure, and income), and primary driver demographic characteristics (e.g., gender and age) as factors that affect consumer vehicle type purchase or holding choice behavior. In their study they showed that intangible-subjective variables were an important determinant in car type choices, in ways that are relevant to marketing managers and transportation planners.
They mailed out 1622 surveys and received 1586 back. Of those 1586 surveys returned the empirical findings provides strong evidence in support of the relevant hypotheses regarding the impact of the chosen variables on car type choices.
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