Strengthening international competitiveness and investment growth as the basis for a new model of Serbian economy development

Durić, Dejan; Mitrović, Vladimir; Đurić, Dragana; Ristić, Jelena

doi:10.5937/ekopolj1802731d

Cited by 4 publications

(4 citation statements)

References 2 publications

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“…With the development of information technology, enterprises began to pay attention to the importance of information technology diffusion and dissemination within the enterprise, between enterprises, and between enterprises and customers. Systems management, goal management, decision management, and total quality management using information technology came into being [5]. e knowledge types coordinated with this stage are the knowledge of optimization of the enterprise structure, the knowledge of matching the market demand with the production of the enterprise, and the knowledge of rational use of the labor force.…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Analysis of International Competitiveness of Multinational Corporations Based on Rough Sets

Zhao

2021

Complexity

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Modern business judgment is mostly faced with complex, unclear nature, and not fully confirmed research objects and needs a lot of relevant data investigation, inherent contradiction retrieval, and the discovery and extraction of potential laws. Formulation of rules and evaluation of system uncertainty: Appropriate decisions can be made based on this. Rough set theory is a new mathematical tool to deal with uncertain knowledge. Therefore, the theory of rough set is helpful for decision-makers to solve the decision problems of complex systems. The simplification of knowledge of information systems and incomplete information systems and the theoretical and methodological study of rule acquisition are the central issues of rough set theory and applied research. A variety of simplified theories and methods have been proposed from a variety of viewpoints. However, there are still many theoretical problems that need to be investigated and solved in these aspects. In addition, the investment environment is a complex organic system that includes economic environment, social environment, resource environment, infrastructure, and other factors. There are a variety of data to measure these factors, which are mutually restrictive and interdependent. At present, domestic and foreign scholars have basically formed a series of assessment methods and models of investment environment assessment, but most of these assessment methods are affected by the differences in the degree of subjective factors of evaluators and the establishment of index weights in the assessment process. In most cases, more reliance is placed on subjective, artificial assignments and scoring loops. Therefore, it is an appropriate and reasonable method to evaluate the investment environment through data to evaluate all the factors affecting the investment environment and reach a comprehensive evaluation conclusion, which can effectively avoid human subjective factors to a certain extent.

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Section: Introductionmentioning

confidence: 99%

[Retracted] Analysis of International Competitiveness of Multinational Corporations Based on Rough Sets

Zhao

2021

Complexity

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“…erefore, in reality, they generally cannot obtain the financing services provided by banks [9]. Without sufficient funds, these suppliers will not be able to reasonably adjust their internal operation and thus cannot reduce the production cost, which will affect to a certain extent.…”

Section: Related Workmentioning

confidence: 99%

“…Considering that compared with these multinational companies, generally speaking, suppliers are smaller in scale and weaker in strength. Therefore, in reality, they generally cannot obtain the financing services provided by banks [ 9 ]. Without sufficient funds, these suppliers will not be able to reasonably adjust their internal operation and thus cannot reduce the production cost, which will affect to a certain extent.…”

Section: Related Workmentioning

confidence: 99%

Prepayment Model of Supply Chain Financing Based on Internet of Things and Machine Learning Algorithm

Duan

2022

Computational Intelligence and Neuroscience

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Nowadays, the relationship between all kinds of things is constantly strengthened, and the regional restrictions on things are also constantly weakened, especially in the aspect of trade. In the past, people could only buy some basic goods in a relatively small area if they wanted to buy them in a relatively small area, but now the situation is very different. People’s dependence on traders is gradually decreasing; that is to say, the traditional advantages of traders are gradually losing. Particularly, in today’s fierce competition, survival of the fittest, and limited profits, the entire trade industry is facing a lot of impacts, not to mention the survival of traders relying on this industry. Therefore, traders must think of a new way to adapt to the characteristics of the new era, to continue to make profits and maintain their own survival. In fact, for the whole industry, this is also the most urgent problem to be solved. This study mainly explores the above problems and puts forward some feasible methods to solve the problems, hoping to cause some thinking of the industry personnel, so that they can modify and adjust their working mode. In addition, it should be emphasized that the mode of using Internet of things and machine learning to achieve the purpose of innovation is of great practical significance.

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“…Predictions for the future indicate that this millennium, in the field of economics, will be marked by the dominance of the competitive advantages based on technology, skills and abilities (Stanišić and Leković, 2018;Đurić et al, 2018). When it comes to skills and abilities, adult education is emerging as an important element of competitiveness and a fundamental premise of economic growth and development in times of rapid changes and global movements.…”

Section: Introductionmentioning

confidence: 99%

Relationship Between the Quality of Higher Education and Balkan Countries’ Competitiveness

Stanišić

Leković

Stošić

2019

IJCRSEE

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The main purpose of the research is to determine the link between the quality of higher education and the competitiveness level of the Balkan countries. In addition, the goal is to identify critical factors in the field of higher education that require improvement. The methods used in the paper are comparative analysis, descriptive statistics, correlation analysis, cluster analysis and benchmarking analysis. The results of the research point to the fact that there is no high positive correlation between the quality of higher education and the competitiveness level of the Balkan countries. However, it is noticed that the Balkan countries record better results when it comes to higher education than the level of competitiveness. Apart from the necessity of improving certain domains of higher education, the priority of the education policy and development policy makers in the Balkan countries should be the utilization of the results achieved in education in the function of improving competitiveness.

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Strengthening international competitiveness and investment growth as the basis for a new model of Serbian economy development

Cited by 4 publications

References 2 publications

[Retracted] Analysis of International Competitiveness of Multinational Corporations Based on Rough Sets

[Retracted] Analysis of International Competitiveness of Multinational Corporations Based on Rough Sets

Prepayment Model of Supply Chain Financing Based on Internet of Things and Machine Learning Algorithm

Relationship Between the Quality of Higher Education and Balkan Countries’ Competitiveness

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