“Key Product” a Fuzzy Logic-based New Approach for Determining Consumer Preferences
Palavras-chave:
Consumer Prediction, Fuzzy Logic, Key Product, Product developmentResumo
Nowadays, intense competition necessitates the continuous monitoring of target audiences in order to harmonize goods and services with consumer expectations. Many studies have been conducted on the selection criteria for goods and services, levels of perception and expectation of consumers. In this study, a fuzzy logic-based new quantitative analysis method was used to help assess the extent to which current smart phones satisfy consumer expectations, and determine the most suitable combination of product features according to general consumer preferences.The study population consisted of university students. In this context, the study sample was specifically composed of the students from the Yuzuncu Yil University in Van, Turkey. The study questionnaire administered to 386 students was based on the applications of smart phone.
Using “Key Product” method analysis performed based on the results of this study, it will be easier and more functional to identify consumers whose preferences are not satisfied in the market, and offer new and suitable combinations for them. In addition, and depending on the number of products to be produced and the consumer demands to be met, this method will also make it easier to determine the number of products with which production processes should be initiated, and the duration of time for which the production stages should be continued.
Proposed fuzzy logic-based new quantitative analysis method determines the most suitable combination of product features according to general consumer preferences.
Downloads
Publicado
Como Citar
Edição
Secção
Licença
The Author(s) must make formal transfer of copyright for each article prior to publication in the International Journal of Contemporary Economics and Administrative Sciences. Such transfer enables the Journal to defend itself against plagiarism and other forms of copyright infringement. Your cooperation is appreciated. You agree that copyright of your article to be published in the International Journal of Contemporary Economics and Administrative Sciences is hereby transferred, throughout the World and for the full term and all extensions and renewals thereof, to International Journal of Contemporary Economics and Administrative Sciences.
The Author(s) reserve(s): (a) the trademark rights and patent rights, if any, and (b) the right to use all or part of the information contained in this article in future, non-commercial works of the Author's own, or, if the article is a "work-for-hire" and made within the scope of the Author's employment, the employer may use all or part of the information contained in this article for intra-company use, provided the usual acknowledgements are given regarding copyright notice and reference to the original publication.
The Author(s) warrant(s) that the article is Author's original work, and has not been published before. If excerpts from copyrighted works are included, the Author will obtain written permission from the copyright owners and shall credit the sources in the article. The author also warrants that the article contains no libelous or unlawful statements, and does not infringe on the rights of others. If the article was prepared jointly with other Author(s), the Author agrees to inform the co-Author(s) of the terms of the copyright transfer and to sign on their behalf; or in the case of a "work-for-hire" the employer or an authorized representative of the employer.
The journal is registered with the ISSN : 1925-4423.
IJCEAS is licensed under a Creative Commons Attribution 4.0 International License.
This license lets others distribute, remix, tweak, and build upon your work, even commercially, as long as they credit you for the original creation. This is the most accommodating of licenses offered. Recommended for maximum dissemination and use of licensed materials.
