telecommunication market
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Author(s):  
Maziyar Milanizadeh

AbstractIn the last decades optical communications contributed to the huge diffusion of the telecommunication market, pushing the development of new technologies to enable higher performances and lower costs.


Author(s):  
Nagayuki Saito

Since the latter half of the 1990s, various policy methods to replace government regulations have been studied in Western countries. Among the trends, in recent years, international organizations such as the Organization for Economic Cooperation and Development (OECD), the European Commission (EC), and the United Nations Conference on Trade and Development (UNCTAD) have considered introducing behavioral public policy as a new policy method, substituting for governmental regulation. This article reviews the status of behavioral public policy being introduced in each international organization. Furthermore, we compare and verify the stages of behavioral public policy in terms of consumer protection policy in each international organization in the telecommunications market, based on a literature review.


2020 ◽  
Vol 44 (2) ◽  
pp. 331-344
Author(s):  
Pavel Kossecki

Common problem in valuation of telecommunication companies is finding comparable data and markets for valuation. The aim of this work was to identify comparable markets for the telecommunication market in Europe. A method for comparison of the markets based on the Multivariate Statistical Analysis was presented. The study covers twenty-two European countries. Using taxonomic measures, these countries were divided into five groups, taking into account the following variables: average monthly service cost of the fixed Internet, average cost of the mobile usage, and average cost of the fixed telephony usage. Within individual groups, the costs of telecommunications services are less diverse than in the entire population; their members can be considered comparable markets. The same method can be used for comparing markets in cases of enterprise valuations in the telecommunication sector, and also in analysis of their level of development.


In the face of extreme competitive telecommunication market, the cost of acquiring new customer is much more expensive than to retain the existing customer. Therefore, it has become imperative to pay much attention towards retaining the existing customers in order to get stabilize in market comprised of vibrant service providers. In current market, a number of prevailing statistical techniques for customer churn management are replaced by more machine learning and predictive analysis techniques. This article reviews the customer churn prediction problem, factors escalating the phenomena, prediction through predictive analytics, steps for processing of predictive analytics and evaluation of performance metrics for various churn prediction models are surveyed. Moreover, the CRM data from Pakistan Telecommunication Company limited as case study to discuss the process of data mining and predictive analytics for customer churn prediction.


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