The level of access to Internet is constantly evaluated and promoted by electronic communications regulators around the world. The issue is especially important in countries, such as Poland, where where Internet access is highly heterogenous among local markets. The objective of this paper is to identify socio-economic factors that influence the level of Internet access in local communities (gminas) in Poland. The definition of Internet access involves multiple criteria and encompasses in particular its availability, adoption, speed, quality of service and price. In the paper we propose a two-phase approach to a comparison of Internet access in various gminas. First we use Data Envelopment Analysis (DEA) to evaluate Internet broadband access depending on their demographic characteristics based on data from 2010 and 2011 collected by Poland's Office of Electronic Communications (UKE). In the second stage we explain the obtained DEA effectiveness indices using supervised learning techniques with the socio-economic status of the community as explanatory variables. We show that in the period under study rural communities experienced greater Internet access improvement than urban communities, therefore catching up with large cities and reducing technological gap. Moreover, we identify drivers of broadband Internet advancement, including: community type, community education and age structure, computerization level in schools and Herfindahl-Hirschman competition index. We show that an effective regulation may foster the advancement of fixed-location broadband Internet access.
Praca opisuje algorytm optymalizacyjny rozwiązujący w efektywny sposób problem wyboru optymalnej taryfy w telefonii komórkowej. Ze względu na bardzo dużą liczbę możliwości łączenia usług telekomunikacyjnych w taryfy rozważany problem optymalizacyjny jest złożonym nieliniowym zagadnieniem programowania kombinatorycznego. W niniejszej pracy pokazujemy, że tego typu zadanie może zostać efektywnie rozwiązane przy pomocy programowania w logice z ograniczeniami (constraint logic programming). Wykorzystanie takiego podejścia dodatkowo pozwala na stworzenie modelu, który może być łatwo modyfikowany. Zapewnia to możliwość jego łatwego wykorzystania w praktyce biznesowej, gdzie składowe taryf telekomunikacyjnych podlegają częstym zmianom.
EN
We present an efficient algorithm that solves the telecommunication rate plan optimization problem. It is a complex and non-linear combinatorial programming task if we take into account realistic structures of offers available for mobile telephony subscribers. In the paper we show that constrained logic programming is an efficient approach to finding an optimal solution of this problem. Additionally, application of constrained logic programming allows us to formulate the problem in a simple way that provides a low-cost maintenance of the solution in practical applications when the rate plan structure often changes.
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