Forecasting a telecommunications provider's market share

Konferenzbeitrag

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.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: 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

Klassifikation und Themen

• Klassifikation: Wirtschaft
• Thema: Telecommunications ; market share analysis ; risk analysis ; Markov decision process ; Ito process ; Monte Carlo Simulation

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Kanellos, Nikolaos ; Katsianis, Dimitrios ; Varoutas, Dimitrios
• Ereignis: Veröffentlichung
• (wer): International Telecommunications Society (ITS)
• (wo): Calgary
• (wann): 2022

Weitere Informationen

• Handle: http://hdl.handle.net/10419/265639
• Letzte Aktualisierung: 10.03.2025, 11:45 MEZ