Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)

The Empirical Study of Market Share and Marketing Strategy Based on Markov Chain Model

Authors
Tianyi Zhang, Yilan Shen, Wenlong Feng, Zhigang Wang
Corresponding Author
Tianyi Zhang
Available Online October 2016.
DOI
https://doi.org/10.2991/ceie-16.2017.63How to use a DOI?
Keywords
Markov Chain Model; Transition Probability Matrix; Market Share; Marketing Strategy; The Expected Profit
Abstract
The emphasis on this paper is mainly on the empirical study of market share and marketing strategy based on Markov chain model. Firstly, we review basic theory of Markov chain model. Secondly, two examples are cited to analyze the market share and marketing strategy, and MATLAB 7.0 is used to calculate the numerical solution. By scientific and reasonable information of the market share and marketing strategy, we try to help enterprises achieve the objective of the maximum expected profit.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Volume Title
Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)
Series
Advances in Engineering Research
Publication Date
October 2016
ISBN
978-94-6252-312-8
ISSN
2352-5401
DOI
https://doi.org/10.2991/ceie-16.2017.63How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Tianyi Zhang
AU  - Yilan Shen
AU  - Wenlong Feng
AU  - Zhigang Wang
PY  - 2016/10
DA  - 2016/10
TI  - The Empirical Study of Market Share and Marketing Strategy Based on Markov Chain Model
BT  - Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)
PB  - Atlantis Press
SP  - 500
EP  - 505
SN  - 2352-5401
UR  - https://doi.org/10.2991/ceie-16.2017.63
DO  - https://doi.org/10.2991/ceie-16.2017.63
ID  - Zhang2016/10
ER  -