Academic literature on the topic 'Virtual mobile network operators'

The thesis analyzes the Czech market of the mobile virtual network operators. It's a young and dynamic market. First entity entered in late 2012 and today there are over sixty competitors. This thesis therefore includes the historical background of the liberalization of the telecommunications market in CZ. Furthermore, the text briefly describes today's worldwide and Czech situation in telecommunications. The main goal of the thesis is to analyze whether there is stronger competition on the Czech telecommunications market after the entry of mobile virtual network operators and which of them are likely to succeed. Using Porter's five forces analysis the thesis concludes that there is a stronger competition. The MVNO's success matrix indicates which subjects will win on the market and the strategic groups' analysis compares them with their nearest competitors. The synthesis of applied analyses brings a complex view on the telecommunication market in CZ after the entry of MVNOs.

The main aim of this work is design methodology for the selection of subject - service provider of virtual operator in the Czech Republic and applied methodology on several subjects. Another aim is to analyze the situation in the mobile telecommunications markets in the world, especially from the perspective of MVNO. The last objective is a detailed characterization of conditions and the state of the mobile telecommunications market in the Czech Republic The second chapter describes the entities of mobile telecommunications market with a detailed focus on MVNO. The third chapter describes the critical factors that determine success MVNO. Later in thesis I analyze the mobile virtual network operator in the world and focuses on the Czech telecommunications market. In the final phase of thesis is I design methodology for selecting potential operator - the operator a virtual mobile operator in the Czech Republic, along with the application of the methodology on several subjects and verification. The benefit of this work is proposed methodology and its application for companies that are interested in entering the Czech telecommunications market through mobile virtual operator and companies that offer foundation and the know-how to potential operators of mobile virtual network operator. A side benefit of this work is a comprehensive look at the principle of operation of mobile virtual network operators in telecommunications.

The primary objective of the master's thesis is to identify and to characterize following action steps, which lead to establish a virtual network operator as a new start-up company. Firstly, a virtual operator is characterized from a technical point of view and as an innovation. Czech telecommunication market is compared to foreign markets by its price level. The power of market competitors was described and market gaps were identified. A project founding a virtual network operator was made to support the main objective of the thesis. General action steps were identified and commented after the project part of the thesis.

The aim of this thesis is to analyse the mobile virtual operator market in the Czech Republic, regarding its development compared to abroad, and to identify the opportunities and threats in the Czech market. The first chapture describes the global development and future trends. The second chapter characterizes the development of Czech market of mobile services and important events preceding the entry of virtual operators. The third chapter focuses on analysis of Czech market compared to British, the mobile virtual operators are segmented and evaluated based on the potential for future success in the market. The opportunities and threats are identified through own qualitative research using the technique of focus group.

The main goal of this thesis is to compare the quality of customer service between the Mobile Network Operators (MNOs) and Mobile Virtual Network Operators (MVNOs) on the Czech mobile telecommunication market. The mystery shopping method is used as the source of data for the comparative analysis.

The main objectives of this work are determining Self-Service Business Intelligence as one of Business Intelligence approaches, description and characterization of Qlik Sense and finally development of particular solution using the above tool. In the first part thesis deals with the theoretical side of the approach, describes its advantages and disadvantages and users coming into contact with the respective technologies. Subsequently, thesis specifies requirements for Self-Service Business Intelligence and mentions different requirements and sizes of solutions in organizations. At the end recommendations for the implementation of the approach and technologies are mentioned. The second part is devoted to Qlik Sense platform, as one of the representatives based on the Self-Service approach. At first basic features, options and benefits are described. Then the development of solutions and principles of work with this tool are explained. Finally, architecture of enterprise server solution is described together with installation steps and basic configuration of a Qlik Sense site. The third part is focused on mobile virtual operator GoMobil, its current state, Business Intelligence needs and last but not least the requirements and development of solution using Qlik Sense platform.

Thesis (S.M.M.O.T.)--Massachusetts Institute of Technology, Sloan School of Management, Management of Technology Program, 2003.<br>Includes bibliographical references (leaves 145-149).<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Innovation in platform industries, including mobile telecommunications, has a great impact on societies and economies; hence a migration from an existing platform to the subsequent one should be progressed under careful forecasting, weighed scenarios and strategies that encompass a broad view. This thesis analyzes why mobile network operators are struggling to move from the second generation (2G) and its derivatives to the third generation (3G) technologies and proposes migration strategies, which allow them to sustain their competitive advantage. First, a migration model is proposed as a reinforcing loop model composed of two dynamics, "Platform Migration" caused by a shortage of network capacity, and "Service Innovation" triggered by a decline in ARPU (Average Revenue Per User). Platform migration is an implementation process for new platform technologies and can be categorized into Revolution-type and Evolution-type. After these two schemes have been evaluated through case studies, Collaboration-type migration, an enhanced Evolution-type, is proposed for future, technically diversified situations. Service Innovation is a process for creating new profitable services to give further revenue growth. Empirical analysis clarifies that mental breakthrough management is a common approach in the mobile industry and proposes that a mixture of corporate, partner and market initiatives be adopted for diversified customer preference. This thesis then proposes the following strategies for future successful migration: first, mobile network operators should drive the migration cycle powerfully, concentrating on successive service innovation dynamics for their revenue growth and the next platform migration. Second, they should choose migration schemes carefully according to their level of technology leadership, value chain leadership and investment capability. Finally, service platform should be considered for realization of innovative services with Partnership Dynamics.<br>by Hisakazu Tsuboya.<br>S.M.M.O.T.

Mobile network operators are currently faced with a number of challenges at the market. The revenues from voice services have decreased the last couple of years. Mobile broadband access services are being adopted and the demand is increasing. The increasing traffic volumes require investments in order to increase the network capacity. This development leads to a large interest in network solutions that can offer high capacity and low cost. Besides the use of more efficient radio access technology mobile network operators use strategies for network deployment and operation involving other market actors. Operators share networks with competitors or outsource network deployment and operation to other companies, e.g. suppliers of network equipment. In these examples the mobile operators cooperate about the networks, the relations to end-users are the same as if the operator would operate the network on its own. However, in other areas other actors enter the market for mobile services where mobile operators traditionally have been the dominant player. Handset manufacturers and Internet companies offer value added services and applications to the end-users. They also establish relations with customers of the mobile operators. Hence, mobile operators look into new technical solutions and services in order to reduce costs and find new services and sources of revenues. Many of the networking solutions and services require that the operator cooperates with some other actor. In this PhD thesis cooperation strategies of mobile network operators are analyzed including cooperation with competitors, customers and different types of partners. The partner can be a provider of a non-telecom service like public transportation, financial institutes or third parties taking intermediary roles. The main research questions in the thesis revolves around why and how mobile operators cooperate. The drivers for cooperation and the way the cooperation is organized is analyzed for a number of cases. Three types of services and markets are analyzed: - Public mobile broadband access services - Services and solutions for indoor wireless access - Mobile payment, ticketing and contactless services A number of technical solutions, business concepts and different types of cooperation and business scenarios have been investigated. Two overall research questions that are applicable for all cases of cooperation are identified for the analysis. - What are the main drivers for a specific type of cooperation? - In what ways can the actors organize the cooperation?<br>QC 20110121<br>Affordable Wireless Broadband Access<br>Force

Problematization: Studies  indicate  that there  is  a  lack  of  strong  brands  among  the  Swedish mobile  network  operators.  Problems  of  retaining  customers  are  common  among  the  big operators. Few studies on brand equity for intangible products have been done.   Purpose: The purpose of this paper is to investigate which factors  influence  brand equity in the Swedish service sector of mobile network operators.   Theory: This  paper is  limited  to  one  aspect  of  brand  equity,  namely  customer  based  brand equity. Common  constructs of  customer  based  brand  equity are:  brand  awareness,  brand associations, brand loyalty, and perceived quality.    Methodology: The  data  was  collected  with  self-administered  delivery  and  collection questionnaires, which were distributed among university students.   Data: 400 questionnaires were handed out and 363 responses were valid.   Results  and  Conclusion: This  study  indicates  the  importance  of  brand  associations,  brand loyalty, and brand trust for establishing customer based brand equity among the Swedish mobile network operators.

With increasing mobile data demand there is a push towards heterogeneous networks. Small-scale operators (SSOs) of WLANs are becoming more prevalent, while Mobile Network Operators (MNOs) seek an outlet for their customers' data usage. These conditions prompt the need for an effective relationship between the two parties for the purpose of offloading cellular data traffic to WLANs in a way that is economically beneficial to all involved. This thesis presents a model of such a relationship, in which the SSO sets a strategic offloading price per subscriber and several MNOs can choose how many subscribers they want to offload in order to minimize their costs. We determine the optimal offloading price, identify how the SSO incorporates its own network's quality of service (QoS) into its price decision, and examine the way in which the MNOs' cost structures affect their ability to offload. This model can be applied by both MNOs and SSOs to make informed network deployment decisions, even before engaging in an offloading relationship.<br>Master of Science