Projects / Programmes source: ARIS

Extension of the time distance method to the problem of digital divides

Research activity

Code Science Field Subfield
5.03.00  Social sciences  Sociology   

Code Science Field
S274  Social sciences  Research methodology in science 
S210  Social sciences  Sociology 
S180  Social sciences  Economics, econometrics, economic theory, economic systems, economic policy 
information society, time distance, S-distance, digital divide, forecasting, statistical methods, sociological processes
Evaluation (rules)
source: COBISS
Researchers (7)
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  24599  Sanja Čikić  Sociology  Researcher  2004 
2.  23424  PhD Vesna Dolničar  Sociology  Junior researcher  2004 - 2005  332 
3.  23809  Gašper Koren  Mathematics  Researcher  2006 - 2007  33 
4.  24973  Maša Maroševič    Technical associate  2005 
5.  03881  PhD Pavle Sicherl  Economics  Researcher  2004 - 2007  279 
6.  19505  PhD Damjan Škulj  Sociology  Researcher  2004 - 2005  155 
7.  10155  PhD Vasja Vehovar  Sociology  Head  2004 - 2007  834 
Organisations (2)
no. Code Research organisation City Registration number No. of publicationsNo. of publications
1.  0582  University of Ljubljana, Faculty of Social Sciences  Ljubljana  1626957  40,179 
2.  1516  SICENTER Socio-economic Indicators Center  Ljubljana  5769175000  279 
Time distance method (or S-distance) is increasingly used approach in the field of social sciences, since it makes feasible to understand an additional view over the complex time processes. S-distance measures time distance,i.e. distance between two points in time, when compared units reach definite level of a certain indicator. Thus in the terminology of S-distance it would be said that group A lags behind group B for example for 3 years and with this approach the lag in penetration (e.g. 35% vs. 40%) is set in a different perspective. S-distance presents a reputable theoretical novelty also in the literature worldwide and it is intuitively understandable for the users. S-distance will be applied to the problems of digital divide, which is not related merely to comparisons of information technologies" penetration levels, but is a much more complex and sociologically significant phenomenon. Existent digital divide studies are mostly limited to analyses of simple differences, which results in oversimplified or even disputable conclusions. Therefore the basic concept of digital divide will be extended to dual, second and third divide and at the same time its essence will be distinguished from these extensions and a new integral measure will be developed. Key research hypothesis is that simultaneous two-dimensional observation of time series - with regard to conventional time series comparisons and in view of new generic Sicherl"s approach to S-distance - leads to qualitatively different conclusions in comparison to the findings from ordinary one-dimensional comparisons. Aim of the proposed project is application of time distance concept to the field of digital divide measurement. Consequently, a new statistical measure of differences between those digitally included and excluded will be developed (which is also an important element of Lisbon Strategy in EU). Principal research directions are: -extension of S-distance method for the purposes of monitoring and forecasting, -extension of S-distance method to the measurement of non-linear (transformed) processes, -extension of S-distance method to integral measures (i.e. indexes) of digital divides. Results will be tested on different data bases; domestic (RIS, SJM) and international (RIPE hostcount, ECM mobile) for the period of 1996-2004. Research will be mostly focused to Internet and computer use, to usage of mobile phones and to attitudes towards new technologies.
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