Analysis of the Interdependence between Turnover and the Number of Employees in the IT Industry
Leon Daniel Dumitru ()
Additional contact information
Leon Daniel Dumitru: Alexandru Ioan Cuza University of Iasi
Acta Universitatis Danubius. OEconomica, 2018, issue 14(4), 107-114
Abstract:
By accomplishing this study, I propose to make an analysis of two indicators, turnover and number of employees, in order to be able to show the relationship of interdependence between the two, the study being carried out on a sample of about 65 firms which operates in the IT industry in Romania, from all the economic regions of the country, whose code in the National Economy Activities Classification (NACE) is 6201 Custom software development activities (customer oriented software). In order to achieve the objectives, the research aims to dynamically analyze the relationship between the turnover and the number of employees in the IT sector for a period of 6 years (2011-2016). The usefulness of this analysis is due to the fact that the IT industry in Romania has gained a growing significance from one year to another, and at the moment it became one of the Romanian industry’s stars. I will also analyze the main trumps regarding the prospects for future development, as well as the main threats to this sector of activity.
Keywords: Turnover; Number of Employees; Correlation; IT industry (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://journals.univ-danubius.ro/index.php/oeconomica/article/view/5141/4520 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:dug:actaec:y:2018:i:4:p:107-114
Access Statistics for this article
More articles in Acta Universitatis Danubius. OEconomica from Danubius University of Galati Contact information at EDIRC.
Bibliographic data for series maintained by Daniela Robu ().