Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/265639 
Year of Publication: 
2022
Series/Report no.: 
31st European Conference of the International Telecommunications Society (ITS): "Reining in Digital Platforms? Challenging monopolies, promoting competition and developing regulatory regimes", Gothenburg, Sweden, 20th - 21st June 2022
Publisher: 
International Telecommunications Society (ITS), Calgary
Abstract: 
Telecommunications providers' market share risks stem from uncertainties due to overall market performance and competition strategies adopted by providers. In this paper, a framework that allows risk-adjusted forecasting of a provider's market share is presented. Two different stochastic processes are deployed to model the effects of churn and attraction strategies, as well as market performance. Impact results are obtained through the application of Monte Carlo simulation. The proposed framework was verified and validated with the use of a typical test scenario. Application findings are consistent with relative churn and attraction management literature, indicating a best performer advantage and a minimum systematic risk impact on a provider's market share expectations. The proposed framework can help telecommunication providers to understand and adjust their strategies regarding churn management and new customer attraction and can be extended to include market structure analysis and forecasts as well.
Subjects: 
Telecommunications
market share analysis
risk analysis
Markov decision process
Ito process
Monte Carlo Simulation
Document Type: 
Conference Paper

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