Research Article | OPEN ACCESS
User Satisfaction Based Vehicle Navigation System Design
Shih-Ming Ou and Dan Liu
Department of Logistics Management, Fuzhou University of Internatioal Studies and Trade, No. 28, Yuhuan Rd., Shouzhan New Dist., Changle, Fuzhou City, Fujian, PR China
Asian Journal of Business Management 2017 1:1-9
Received: October 10, 2016 | Accepted: December 12, 2016 | Published: June 25, 2017
Abstract
The main objective of this study is to investigate real factors affecting the user satisfaction of VND so as to find solutions for the above mentioned issues. In order to achieve such objective, this research has integrated factor analysis, fuzzy theory and Decision Making Trial and Evaluation Laboratory (DEMATEL) to construct innovative and stringent data analysis architecture. Such structure can effectively sort out factors and delete fuzzy factors during human decision making process, in other words, the information needed for R&D decision making can be more accurately provided. Empirical experimental results show that the investment on the reduction of the failure rate of the product and the providing of more convenient and accurate map data updating service will all be helpful to the enhancement of brand image and such business operation strategy of moving towards the right end of smile curve is the key for an enterprise to keep innovative and to keep competitive.
Keywords:
Decision making, DEMATEL, factor analysis, fuzzy theory, utilizing satisfaction, vehicle navigation,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
|
|
 |
ISSN (Online): 2041-8752
ISSN (Print): 2041-8744 |
 |
Information |
|
|
|
Sales & Services |
|
|
|