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Electronic Commerce Research
Published in: Electronic Commerce Research 2/2018

11-05-2017

Game theoretic approach of a novel decision policy for customers based on big data

Authors: Shasha Liu, Bingjia Shao, Yuan Gao, Su Hu, Yi Li, Weigui Zhou

Published in: Electronic Commerce Research | Issue 2/2018

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Abstract

In recent days, big data based analysis in hotel industry become popular. Merchants are attracting clients using the accurate analysis of historic data and predicting the behavior of possible clients to perform proper marketing strategy. To study the principle of the game between clients and merchants, in this work, we propose a novel two-stage game theoretic approach of decision policy for clients when choosing the suitable hotel to stay among many candidates, the merchants will provide a non-cooperative game strategy to attract the attention of potential clients. Analysis of the non-cooperative game method based on big data has been given. Simulation results indicate that, by using our proposed novel method, the average price for clients to choose a satisfied hotel is reduced and the successful rate of stay is increased for merchants, which will bring the expected income to a higher level because of the sticky phenomena of users.
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Metadata
Title
Game theoretic approach of a novel decision policy for customers based on big data
Authors
Shasha Liu
Bingjia Shao
Yuan Gao
Su Hu
Yi Li
Weigui Zhou
Publication date
11-05-2017
Publisher
Springer US
Published in
Electronic Commerce Research / Issue 2/2018
Print ISSN: 1389-5753
Electronic ISSN: 1572-9362
DOI
https://doi.org/10.1007/s10660-017-9259-6

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