The development of the communications sector of a given country is related to the economic development of that country, and it is possible to demonstrate this connection statistically, as has been shown by research institutions such as the International Telecommunications Union (ITU). As this data is shown only in simple numerical form, and do not take into account interlinking factors, it is important to carry out research which evaluates the connection between relevant variables in the field. This work aims to analyze the factors of technological development which best describe the economic positioning of a country, connecting the usability of communication services with economic status. Data from 56 countries, chosen at random, were used. A datamining survey was carried out, which analyzed data already collected by institutions such as ITU, World Bank, etc. Each factor of usability, preference, and service analyzed is understood as a reflection of other services already developed, as some studies of the literature on this topic (ARRUDA FILHO; CASSIA; MARINO, 2008; CHERRY, 2007; DAVIES; HARDT; KELLY, 2004) argue that economic development of certain countries exists as a result of an increase in technological development, whereas others argue exactly the opposite. This paper presents these relationships in certain countries, chosen by the quantity of information available regarding their global development position, directly relating economic growth to communication technologies usage, such as telephone or internet. The paper collected data from two world sources from the mentioned sectors: International Telecommunications Union (ITU) and World Bank. Statistical techniques of linear regression and variance analysis were used for studying the data of 56 countries. It followed that the economic growth is directly related to the communication market growth, being the communication products factors of influence for the economic development.
Technology marketing; Telecommunications sector; Longitudinal research; Economic development; Quantitative models
