The basic aim of the paper is to examine the relationship between innovation and digital transformation, on the one hand, and the conditions of competition on the other hand. The intensive application of advanced technologies leads to a digital transition and companies which operate in a changing environment must pass through it. The market share depends on, among other factors, the speed of digital transformation. One of the implications of this process is the strengthening of competitive pressure among companies. The correlation between exposure to digitalisation and productivity causes the effects that are reflected an increasing gap between the most successful companies and those less successful who are struggling to survive in the market. The question arises what is the role of innovations in modern business conditions and whether they represent substitution for price competition. The results show that efficient enterprises in the static neoclassical sense can not withstand the pressure of their competitors without innovations. Therefore, it can be noted that innovations are crucial for survival of companies in the capitalist economy.
Abstract:The starting hypothesis is that the market structure to a large extent determines the conduct and the level of the achieved performance of economic entities. The aim of this paper is to determine the theoretical and empirical correlation between market structure, conduct, and performance of economic entities. The paper provides an analytical overview of the mobile telecommunications market in the Republic of Serbia. By using different indicators (the Concentration ratio, the HHI, the Lorenz curve, and the Gini coefficient), the supply concentration in this market is measured and the nature of competition is analysed. By using statistical methods (correlation and simple linear regression analysis), the correlation between the variables, which confirmed the existence of a strong positive correlation between the degree of supply concentration on the market and the level of achieved performance is examined.
Agreed upon by the United Nations, the seventeen Sustainable Development Goals (SDGs) set out a framework to tackle the world's most pressing social, economic, and environmental challenges in the lead-up to 2030. They provide a network to support business in managing risks and identifying market opportunities. The Sustainable Development Goals have the potential to accelerate innovation and economic growth. However, the ambitious goals will require new models of collaboration between companies, sectors, countries, and regions. The special attention in this paper is given to the analysis of the achieved results in the Western Balkan countries in 2018 measured by the composite indicator such as Sustainable Development Goals Index. The basic research question in the research is: Are all the Western Balkans countries lagging behind the average of the region Eastern Europe and Central Asia in achieving the sustainable development goals? Key words: sustainable development goals, index, Western Balkan countries JEL classification: Q53 циЉеви одрживог раЗвоја и остварени реЗултати у ЗеМЉаМа Западног Балкана апстракт Договорени од стране Уједињених нација, седамнаест циљева одрживог развоја (СДГс) поставило је оквир за решавање најзначајнијих друштвених, економских и еколошких изазова до 2030. године. Они пружају мрежу подршке пословној заједници приликом управљања ризицима и идентификовања тржишних прилика. Циљеви одрживог развоја имају потенцијал да убрзају иновације и економски раст. Међутим, амбициозни циљеви одрживог развоја ће
The main purpose of the paper is to address the effects of digital transformation in the telecommunications markets which are characterized by network externalities. By acknowledging disruptive effects of digital transformation age, the paper highlights challenges which were created by advancement of technological capabilities. The specific aim of the paper is to present a methodological framework for measuring the information society. The research will be based on an analysis of the number of subscribers by types of telecommunication services, in developed and developing countries, in the last two decades. In this regard, increasing the number of subscribers leads to higher value of the selected network. We expect confirmation of both hypotheses respectively (H1: Digital transformation affects the simultaneously continuous growth of the number of subscribers and the continuous decline in prices of telecommunication services; H2: There are similar trends in developed and developing countries, which are related to the number of the telecommunication services subscribers). Therefore, digital transformation and the effect of network externalities contribute to increasing the number of subscribers, reducing the number of networks (distortion of the market competition) and reducing the prices of telecommunication services.
Unemployment, as a measure of market conditions, appears as a crucial economic problem and a phenomenon with considerable negative social consequences, and, as such, requires attention and adequate approach to finding solutions. Enormous unemployment rates are a reality not only in developing and transition countries, but also in some developed countries. Inadequately conducted privatization, unsuccessful transfer of workers from the public to the private sector, inefficiency in attracting foreign direct investment, and the world economic crisis of 2008 have made unemployment a universal disease of modern society. The paper presents economic models in which the unemployment rate is the central analyzed phenomenon. In this context, an important task of European economic policy-makers is to project future unemployment rates. Box-Jenkins methodology, i.e. the seasonal ARIMA model, is one approach to the modeling of time series, or, more specifically, for forecasting future values. The subject of this paper is the analysis of the evolution of the unemployment problem on the basis of the values in the period from 2000 to 2015, based on the case of 28 countries of the European Union. Building on the research subject, the purpose of the paper is to create the statistical model for forecasting the values of the monthly unemployment rates in the European Union for the future and establishing its trend.
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