Strategic management in the Telecom industry to create competitive advantage

O presente trabalho teve por objetivos a identificação de uma estratégia e o desenvolvimento de um modelo que permita às operadoras de telecomunicações a sua sustentabilidade, bem como a identificação de caminhos para a adaptação a uma realidade sempre em mudança como é a da indústria das telecomunicações. Numa primeira parte do trabalho elaborou-se uma revisão de literatura do atual estado da arte das principais estratégias relevantes e com aplicação à indústria de telecomunicações. A pesquisa realizada investigou a estrutura atual da indústria de telecomunicações e o estado da competitividade das operadoras de telecomunicações. Dos resultados desta foi possível constatar uma evolução constante da tecnologia e dos modelos de negócio neste ecossistema, assim como a presença de uma pressão concorrencial significativa exercida sobre as operadoras, quer por parte das empresas já existentes no mercado quer por parte das emergentes. As operadoras têm de transformar o seu modelo de rede e de negócios para se adaptarem às mudanças e às tendências da indústria e do mercado. Com base na revisão de literatura, elegeu-se a metodologia baseada num inquérito de pesquisa empírica para aferir o estado da indústria e derivar as estratégias possíveis. Este inquérito foi efetuado a especialistas da área de telecomunicações de diferentes subsectores e países para abordar todos os elementos estratégicos do modelo de negócio futuro. Os resultados da pesquisa revelaram que as empresas que operam no mercado da Internet (Over The Top - OTT) representam a maior ameaça sobre o futuro dos operadores de telecomunicações. Os operadores só vão conseguir responder através da modernização de sua rede, melhorando a qualidade, reduzindo o custo global, e investindo em produtos inovadores e diferenciados e em serviços. Os resultados do inquérito revelam-se de acordo com os pressupostos da Blue Ocean Strategy. A aplicabilidade da Blue Ocean Strategy foi aprofundada permitindo concluir que o valor inovador obtido simultaneamente através da redução de custos e da diferenciação permitem aumentar as vantagens dos operadores existentes em termos das infra-estruturas físicas detidas e das relações estabelecidas com os clientes. O caso particular da fibra óptica até casa (FTTH) foi considerado como aplicação da Blue Ocean Strategy a uma nova tecnologia que as operadoras podem implementar para criar novas soluções e abrir segmentos de mercado inexplorados. Os resultados do inquérito e da investigação realizada à aplicação da Blue Ocean Strategy foram combinados para propor um novo modelo de negócio para as operadoras de telecomunicações que lhes permite, não só responder aos desafios existentes, mas, também, ter uma melhor posição competitiva no futuro. Foi, ainda, realizado um estudo de caso que destacou como a Verizon Communications foi capaz de transformar a sua rede e o modelo de negócio em resposta ao aumento da pressão competitiva. Através do valor da inovação transferida aos seus clientes, a Verizon foi capaz de aumentar significativamente as suas receitas e satisfação do cliente.

Molecular regulation of cork development: the QsMYB1 gene

Cork is a natural and renewable material obtained as a sustainable product from cork oak (Quercus suber L.) during the tree’s life. Cork formation is a secondary growth derived process resulting from the activity of cork cambium. However, despite its economic importance, only very limited knowledge is available about the molecular mechanisms underlying the regulation of cork biosynthesis and differentiation. The work of this PhD thesis was focused on the characterization of an R2R3-MYB transcription factor, the QsMYB1, previously identified as being putatively involved in the regulatory network of cork development. The first chapter introduces cork oak and secondary growth, with special emphasis on cork biosynthesis. Some findings concerning transcriptional regulation of secondary growth are also described. The MYB superfamily and the R2R3-MYB family (in particular) of transcription factors are introduced. Chapter II presents the complete QsMYB1 gene structure with the identification of two alternative splicing variants. Moreover, the results of QsMYB1 expression analysis, done by real-time PCR, in several organs and tissues of cork oak are also reported. Chapter III is dedicate to study the influence of abiotic stresses (drought and high temperature) and recovery on QsMYB1 expression levels. The effects of exogenous application of phytohormones on the expression profile of QsMYB1 gene are evaluated on Chapter IV. Chapter V describes the reverse genetic approach to obtain transgenic lines of Populus tremula L. x tremulóides Michx. overexpressing the QsMYB1 gene. Finally, in Chapter VI the final conclusions of this PhD thesis are presented and some future research directions are pointed based on the obtained results.

Network virtualisation from an operator perspective

Network virtualisation is seen as a promising approach to overcome the so-called “Internet impasse” and bring innovation back into the Internet, by allowing easier migration towards novel networking approaches as well as the coexistence of complementary network architectures on a shared infrastructure in a commercial context. Recently, the interest from the operators and mainstream industry in network virtualisation has grown quite significantly, as the potential benefits of virtualisation became clearer, both from an economical and an operational point of view. In the beginning, the concept has been mainly a research topic and has been materialized in small-scale testbeds and research network environments. This PhD Thesis aims to provide the network operator with a set of mechanisms and algorithms capable of managing and controlling virtual networks. To this end, we propose a framework that aims to allocate, monitor and control virtual resources in a centralized and efficient manner. In order to analyse the performance of the framework, we performed the implementation and evaluation on a small-scale testbed. To enable the operator to make an efficient allocation, in real-time, and on-demand, of virtual networks onto the substrate network, it is proposed a heuristic algorithm to perform the virtual network mapping. For the network operator to obtain the highest profit of the physical network, it is also proposed a mathematical formulation that aims to maximize the number of allocated virtual networks onto the physical network. Since the power consumption of the physical network is very significant in the operating costs, it is important to make the allocation of virtual networks in fewer physical resources and onto physical resources already active. To address this challenge, we propose a mathematical formulation that aims to minimize the energy consumption of the physical network without affecting the efficiency of the allocation of virtual networks. To minimize fragmentation of the physical network while increasing the revenue of the operator, it is extended the initial formulation to contemplate the re-optimization of previously mapped virtual networks, so that the operator has a better use of its physical infrastructure. It is also necessary to address the migration of virtual networks, either for reasons of load balancing or for reasons of imminent failure of physical resources, without affecting the proper functioning of the virtual network. To this end, we propose a method based on cloning techniques to perform the migration of virtual networks across the physical infrastructure, transparently, and without affecting the virtual network. In order to assess the resilience of virtual networks to physical network failures, while obtaining the optimal solution for the migration of virtual networks in case of imminent failure of physical resources, the mathematical formulation is extended to minimize the number of nodes migrated and the relocation of virtual links. In comparison with our optimization proposals, we found out that existing heuristics for mapping virtual networks have a poor performance. We also found that it is possible to minimize the energy consumption without penalizing the efficient allocation. By applying the re-optimization on the virtual networks, it has been shown that it is possible to obtain more free resources as well as having the physical resources better balanced. Finally, it was shown that virtual networks are quite resilient to failures on the physical network.