Proceedings of the 2017 International Conference on Organizational Innovation (ICOI 2017)

How to Promote Product Quality?

Authors
Gao Su, Li-Shan Chen, Shenghao Lin
Corresponding Author
Gao Su
Available Online July 2017.
DOI
10.2991/icoi-17.2017.46How to use a DOI?
Keywords
Product Quality, Artificial Intelligence, Quantitative Method, Marketing Strategy
Abstract

There is a large amount of literature discussing the issues regarding promotion and how important the key factors are. Most of the existing researches use the exact data to analyze problems, but there always exist various uncertainties in real-world problems. It is usually hard to define a traditional quantitative approach to solve these problems. Our research incorporates method to identify affecting promotion and to analyze the pairwise relationships of these factors via the relevant mathematical models. According to the results of this study, we conclude that employing the proposed approach to identify promoting to provide top managers with reference to draw up the marketing strategies.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2017 International Conference on Organizational Innovation (ICOI 2017)
Series
Advances in Intelligent Systems Research
Publication Date
July 2017
ISBN
978-94-6252-359-3
ISSN
1951-6851
DOI
10.2991/icoi-17.2017.46How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Gao Su
AU  - Li-Shan Chen
AU  - Shenghao Lin
PY  - 2017/07
DA  - 2017/07
TI  - How to Promote Product Quality?
BT  - Proceedings of the 2017 International Conference on Organizational Innovation (ICOI 2017)
PB  - Atlantis Press
SP  - 272
EP  - 274
SN  - 1951-6851
UR  - https://doi.org/10.2991/icoi-17.2017.46
DO  - 10.2991/icoi-17.2017.46
ID  - Su2017/07
ER  -