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The economic impacts of information and communication technology in the Hungarian economy

Author: Peter Sasvari
Publisher: Lahore, Pakistan Global Network of Scientific Information SeaofSci Kiel [u.a.] ZBW 2011
Edition/Format:   Computer file : English
Publication:Journal of Applied and Practical Information Technology, 2001Vol. 1, Iss. 1, pp. 1-8
Summary:
As the author could not find a reassuring mathematical and statistical method in the literature for studying the effect of information communication technology on enterprises, the author suggested a new research and analysis method that he also used to study the Hungarian economic sectors. After a brief introduction to the theoretical background of the Information Age, the author examines the question of what  Read more...
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Details

Material Type: Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Peter Sasvari
OCLC Number: 931282712
Accession No: (DE-599)GBV75170699X
Description: Online-Ressource ([9] S.) graph. Darst.
Responsibility: Peter Sasvari

Abstract:

As the author could not find a reassuring mathematical and statistical method in the literature for studying the effect of information communication technology on enterprises, the author suggested a new research and analysis method that he also used to study the Hungarian economic sectors. After a brief introduction to the theoretical background of the Information Age, the author examines the question of what factors have an effect on their net income is essential for enterprises. First, the potential indicators related to economic sectors were studied, then the author compared those indicators to the net income of the surveyed enterprises. The data resulting from the comparison showed that the growing penetration of electronic marketplaces contributed to the change of the net income of enterprises in various economic sectors to the extent of 37 %. Among all the potential indicators, only the indicator of electronic marketplaces has a direct influence on the net income of enterprises. It was practical to determine two clusters based on the potential indicators.

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Linked Data


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