The Occurence of Power Law for Composite Indicator of ICT Adoption in Serbians Organizations

Čudanov, Mladen and Minović, Jelena and Savoiu, Gheorghe (2012) The Occurence of Power Law for Composite Indicator of ICT Adoption in Serbians Organizations. Econophyiscs, sociophysics and other multidisciplinary sciences journal (ESMSJ), 2(1). pp. 27-32. ISSN 2247-2479

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Abstract

This paper presents analysis of power law occurrence in the Serbian organizations. Its occurrence in physics, economics and finance, computer science, biology, earth and planetary sciences, demography, and the social sciences has been covered by research, but this study researches its occurrence in business application of ICT, where published research is still scarce. Parameter used in measurement is composite indicator of ICT adoption, already successfully used as a tool to measure ICT adoption in organizations in three studies of different context. It is described in detail in first part of the article, and compared with other approaches in measurement of ICT adoption in organizations. We analyzed the occurrence of power law in three cases: distribution of values of ICT adoption indicator in 67 selected enterprises, distribution between values of ICT adoption and size of the enterprises measured by number of employees, and distribution between values of ICT adoption and profit per employee. Thus, we found that ICT adoption in the Serbian organization is distributed according to Pareto’s power law distribution, in all cases, with the tail exponent (or parameter) smaller than 1, which means that ICT adoption in the Serbian organizations is undeveloped. This is the first paper that shows the distribution of ICT adoption possesses properties of Pareto’s law in the Serbian organizations.

Item Type: Article
Additional Information: COBISS.ID=512172130
Uncontrolled Keywords: power law, ICT adoption, organization size, profit per employee
Subjects: H Social Sciences > H Social Sciences (General)
Depositing User: Jelena Banovic
Date Deposited: 22 Sep 2016 18:29
Last Modified: 22 Sep 2016 18:29
URI: http://ebooks.ien.bg.ac.rs/id/eprint/706

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