The Empirical Study of Market Share and Marketing Strategy Based on Markov Chain Model
Tianyi Zhang, Yilan Shen, Wenlong Feng, Zhigang Wang
Available Online October 2016.
- https://doi.org/10.2991/ceie-16.2017.63How to use a DOI?
- Markov Chain Model; Transition Probability Matrix; Market Share; Marketing Strategy; The Expected Profit
- 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.
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 -