Competitiveness indicators assessment of the textile organizations from Serbia

An assessment of the indicators contributing to the success of the textile organizations doing business in Serbia from the point of view of their specificities in relation to the other industrial sectors is the subject matter of the research study presented in this paper. The original premise says that there are numerous factors that determine the competitiveness of textile organizations, all those factors have a different influence on the results of those organizations’ business activities. The study is aimed at singling out and assessing the factors significant for the adaptation of the existing concept of the business operations undertaken by Serbian textile organizations through continuous changes in the textile and clothes global market. Namely, once the Textile Agreement made between the member states of the World Trade Organization ceased to be in force, trading textile products between the member states became completely liberalized, which led to the competition within the world frameworks becoming much more severe. In order to respond to said changes, there is a need for textile organizations to engage qualified personnel with competencies, knowledge and skills (know-how), who is simultaneously able to respond to all the challenges they are faced within the conditions of accelerated changes in the numerous indicators that determine their competitiveness. The obtained results are indicative of the fact that the following are the key factors for their business success: design functions through the continuous improvement of employees’ knowledge, investment in relationship marketing and the development of domestic brands, together with the procurement of modern technological solutions and equipment. In the subject-matter research study, the following methods were used, namely: hypothetical-deductive, analytical-deductive and comparative, historical and statistical-descriptive, as well as comparative statistics methods (chi 2-test, ANOVA)