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

DOI

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.

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/).

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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  - 10.2991/ceie-16.2017.63
ID  - Zhang2016/10
ER  -