A new perspective on the ICT Development Index

Abstract

Information and Communication Technology (ICT) represents an important structural part of modern society; this is why countries strive for constant progress in ICT and why it draws such significant attention. Bearing this in mind, the main goal of this paper is to present an I-distance methodology that holds a new perspective on the measurement of information development, to compare it to the ICT development index (IDI), and to point out improvements that such methodology provides. IDI combines 11 indicators related to three ICT categories: Access, Use and Skills (by weighting the first two by 40 percent and the third by 20 percent). The approach presented in this study uses the same indicators, synthesizing them into one value. Subsequently, which variables are the most relevant for measuring ICT development level of countries are able to be determined. Consequently, the I-distance method provides useful insight into developing countries and ways that enhance their ranking. The results show that the correlation between the I-distance values and IDI values is very strong, r = 0.961, p < 0.01, which makes I-distance an acceptable measurement method for evaluating countries’ ICT development levels.

A comparative analysis of development in Southeast European countries

“…s i is the standard deviation of x i , and r ji.12...j-1 is the partial correlation coefficient for x i and x j , (j < i). The I-distance is calculated through the following steps (Ivanovic 1973;Mihailovic et al 2009;Dobrota et al 2012): -Calculate the value of the discriminate effect of attribute x 1 , (the most significant indicator); -Add the value of the discriminate effect of x 2 which is not covered by x 1 ; -Add the value of the discriminate effect of x 3 which is not covered by x 1 and x 2 ; -Repeat the procedure for all indicators. The squared I-distance, defined by (2), is used in order to eliminate the negative values of partial correlation coefficients: …”

Uncertainty and Sensitivity Analyses of PISA Efficiency: Distance Based Analysis Approach

“…This is usually the entity with the minimal rate for each indicator or a fictive entity with minimal, maximal or average values for each variable. In this analysis, object with minimum values for each variable was set as a referent [47,49].…”

Bibliometric Measures of Research Output of Lower Middle Income Economies

“…In view of this, Ponomariov and Toivanen (2014), recommends that emerging economies shed off the tag of 'imitators' to 'innovators' by building strong domestic knowledge capacities to spur innovative activities. In the advancement of technology, the socio-economic development of countries is enhanced with innovation and availability of resources (Milenkovic et al, 2014;Dobrota et al, 2012;Confraria and Godinho, 2015). This paper uses an exploratory trend analysis to unravel interestingness measures across lower middle income countries in the 6 continents of the world as far as research in science-based disciplines is concerned from year 2000 to 2012.…”