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    Abstract
2017 (Vol. 9, Issue: 1)
Research Article

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
 

DOI: 10.19026/ajbm.9.4717
Submitted Accepted Published
October 10, 2016 December 12, 2016 June 25, 2017

  How to Cite this Article:

Shih-Ming Ou and Dan Liu, 2017. User Satisfaction Based Vehicle Navigation System Design.  Asian Journal of Business Management, 9(1): 1-9.

DOI: 10.19026/ajbm.9.4717

URL: http://www.maxwellsci.com/jp/mspabstract.php?jid=AJBM&doi=ajbm.9.4717

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.

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    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 Author(s) 2017

ISSN (Online):  2041-8752
ISSN (Print):   2041-8744
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