MATEC Web Conf.
Volume 204, 2018International Mechanical and Industrial Engineering Conference 2018 (IMIEC 2018)
|Number of page(s)||7|
|Published online||21 September 2018|
A study of consumer preferences for customized product design
Doctoral Student at Department of Industrial Engineering, Institut Teknologi Sepuluh Nopember (ITS), 60111 Surabaya, Indonesia
2 Universitas Wijaya Kusuma Surabaya (UWKS), 60225 Surabaya, Indonesia
3 Department of Industrial Engineering, Institut Teknologi Sepuluh Nopember (ITS), 60111 Surabaya, Indonesia
Segmentation has been frequently used to study individual consumer behavior against its preference. Consumer preferences indicate consumer requirements for a product. This study aims to analyze consumer preferences based on gender segmentation (male and female) and age segmentation (adolescents, adults, and elderl y). Consumer preferences wer e studied based on three aspects, namely functionality, usability, and pleasure that are applied to food products. Respondents consisted of 225 consumers of ice cream products. Crosstab analysis was used to describe consumer preferences, while chi-square test was applied to analyse the difference of consumer preference based on predetermined segmentation. The result showed that there was no significant difference for male and female consumer preferences for three aspects. Furthermore, on the attributes of taste (functionality), shape (usability) and appearance (pleasure) there were significant differences. Based on the age segmentation there were differences in consumer preferences for aspects of functionality and pleasure. Howe ver, we also found that there was no significant difference in product attributes of those aspects, except for the colour attribute. Different consumer preferences obtained in different segments can be used as a reference to customer requirements for design ing customized products. Ultimately, the products can be tailored to consumer preferences in each segment.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.