Research on a Triopoly Dynamic Game with Free Market and Bundling Market in the Chinese Telecom Industry

Ma, Junhai; Xu, Tiantong; Lou, Wandong

doi:10.1155/2018/5720392

Cited by 3 publications

(1 citation statement)

References 27 publications

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“…In the sense of heterogeneous framework, literature has reported many works such as Leonard and Nishimura [12], Zhang et al [13], Ma et al [14], Peng et al [15], Ma et al [16], Elsadany [17], and Naimzada et al [18]. For extra reading, readers are advised to see [19,20].…”

Section: Introductionmentioning

confidence: 99%

Local and global analysis of a nonlinear duopoly game with heterogeneous firms

Askar

2020

Adv Differ Equ

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In this paper, we introduce a nonlinear duopoly game whose players are heterogeneous and their inverse demand functions are derived from a more general isoelastic demand. The game is modeled by a discrete time dynamic system whose Nash equilibrium point is unique. The conditions of local stability of Nash point are calculated. It becomes unstable via two types of bifurcations: flip and Neimark–Sacker. Some local and global numerical investigations are performed to show the dynamic behavior of game’s system. We show that the system is noninvertible and belongs to $Z_{2}-Z_{0}$ Z 2 − Z 0 type. We also show some multistability aspects of the system including basins of attraction and regions known as lobes.

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Section: Introductionmentioning

confidence: 99%

Local and global analysis of a nonlinear duopoly game with heterogeneous firms

Askar

2020

Adv Differ Equ

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Research Trends in Customer Churn Prediction: A Data Mining Approach

Tianyuan

Moro

2021

Advances in Intelligent Systems and Computing

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This study aims to present a very recent literature review on customer churn prediction based on 40 relevant articles published between 2010 and June 2020. For searching the literature, the 40 most relevant articles according to Google Scholar ranking were selected and collected. Then, each of the articles were scrutinized according to six main dimensions: Reference; Areas of Research; Main Goal; Dataset; Techniques; outcomes. The research has proven that the most widely used data mining techniques are decision tree(DT) , support vector machines(SVM) and Logistic Regression(LR). The process combined with the massive data accumulation in the telecom industry and the increasingly mature data mining technology motivates the development and application of customer churn model to predict the customer behavior. Therefore, the telecom company can effectively predict the churn of customers, and then avoid customer churn by taking measures such as reducing monthly fixed fees.The present literature review offers recent insights on customer churn prediction scientific literature, revealing research gaps, providing evidences on current trends and helping to understand how to develop accurate and efficient Marketing strategies. The most important finding is that artificial intelligence techniques are are obviously becoming more used in recent years for telecom customer churn prediction. Especially, artificial NN are outstandingly recognized as a competent prediction method. This is a relevant topic for journals related to other social sciences, such as Banking, and also telecom data make up an outstanding source for developing novel prediction modeling techniques. Thus, this study can lead to recommendations for future customer churn prediction improvement, in addition to providing an overview of current research trends.

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Analyzing the Chinese Telecommunication Industry Based on Oligopoly Game and Dynamic Evolution

Ning

2021

Int. J. Bifurcation Chaos

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In this paper, we consider the impact of the product price, service level and delay parameters on the operation of enterprises in the current Chinese telecommunications industry. A three-oligarch game model is established, where system parameters are taken as important factors affecting the development of the involved companies. By improving their service levels, the three oligarchs could plunder the market of each other, but also enhance the reputation of the industry, thus bringing more communication data usage. In the paper, firstly we analyze the static Nash equilibrium, especially the impacts of competition intensity and service cost coefficiency. Then, we analyze the stability and evolution behavior of the system under the dynamic game. We found that the increase of competition intensity and cost coefficiency has adverse effects on the stability region. Finally, we show that a delay decision of a single company has a positive impact on its own profits, but not conducive to its own stability region and the profits of the opposing oligarchs, nor to the total profit.

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Research on a Triopoly Dynamic Game with Free Market and Bundling Market in the Chinese Telecom Industry

Cited by 3 publications

References 27 publications

Local and global analysis of a nonlinear duopoly game with heterogeneous firms

Local and global analysis of a nonlinear duopoly game with heterogeneous firms

Research Trends in Customer Churn Prediction: A Data Mining Approach

Analyzing the Chinese Telecommunication Industry Based on Oligopoly Game and Dynamic Evolution

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