DocumentCode :
3411357
Title :
Applying grey relational grade on the exploration of different lifestyle female consumers´ preferences towards the appearance of cars
Author :
Yen, Chien-Cheng
Author_Institution :
Dept. of Product Design, Ming Chuan Univ., Taoyuan, Taiwan
fYear :
2009
fDate :
10-12 Nov. 2009
Firstpage :
79
Lastpage :
86
Abstract :
With the development of the times, female driver population has largely increased year by year so that it is hard to ignore the market of them. Since the lifestyle may be one of the important factors affecting female consumer´s car purchasing decision, to understand the different lifestyle female consumers´ preferences towards the appearance of cars has become a crucial issue for the car industry. This study aims to explore different lifestyle female consumers´ preferences towards the appearance of cars and to provide a reference for car´s development and marketing. This study was carried out by the questionnaire method and the grey relational grade was used to divide the whole respondents into different clusters according to their lifestyles. The respondents were clustered as three types of lifestyle from the 280 valid questionnaires. The results reveal that female consumers prefer the image words ¿lively, streamlined, oncoming, cute, feminine, and elegant¿, but don´t prefer the image words ¿regular, staid, straight, dull, masculine, and vulgar¿. In addition, lifestyle can influence the females´ preferences towards to the appearance of cars, but the effect is not so significant.
Keywords :
automobiles; consumer behaviour; grey systems; psychology; car industry; cars appearance; cars development; cars marketing; different lifestyles; female consumers preferences; female driver population; grey relational grade; Asia; Employment; Industrial relations; Intelligent systems; Power generation economics; Product design; Road transportation; Statistics; Streaming media; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Grey Systems and Intelligent Services, 2009. GSIS 2009. IEEE International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4914-9
Electronic_ISBN :
978-1-4244-4916-3
Type :
conf
DOI :
10.1109/GSIS.2009.5408344
Filename :
5408344
Link To Document :
بازگشت