Suchergebnisse

The paper identifies some major disparities and quantifies some discrepancies and gaps, as well as specific trends of concentration-diversification in today's group of the 11 former socialist economies of Central and Eastern Europe (CEEC). After a brief introduction describing the approach based on multiplied research focused on the ex-socialist economies in CEEC that have already acceded to the European Union (EU), a special section is devoted to the statistical concepts that are measurable and applied in this paper, i.e. disparity and gap or discrepancy, finally detailing an original research method that capitalizes on these statistical tools with matrices and econometric models (including those focused on associations, correlations and concentration-diversification coefficients). A set of major variables are analyse and discussed in parallel with some trends that have already been presented in the international literature, outlining the specifics of CEEC economies in the context of their real convergence to the EU average level (EU-28 and EU-16). A few final remarks identify some paradoxes of the economies analysed.

The authors dealt with fi nding some relevant simulation solutions for the value of the European funds that can be accessed by Romania in the second budget cycle (2014-2020) of the European Union (EU), in which the national economy is participating after the 2007 accession. The article presents, in a brief conceptual introduction, the option for simulation, not only as economical and statistical alternative but also as conceptual and technical method, followed by an analysis section for the EU funds accessed by Romania in the 2007-2013 fi nancial period and in the fi rst three years of 2014-2020 fi nancial period, with a role in generating hypotheses and scenarios of a type of modelling the process of accessing and specifi c absorption (including all types of rates, from the current absorption rate to the actual rate, with revenue in advance, etc.). A methodology section describes the rationale for selecting the method of simulation as Monte Carlo, and also the main hypotheses, detailed scenarios and integrated characteristic variables. The scenario-making eventually shaped three options by combining criteria of stability/instability, nuanced by optimistic/ pessimistic type scenarios. The analysis of the variables described by a probability distribution was conducted statistically on several types of samples simulated by the Monte Carlo method, from 100 draws to 200; 300; 400; and fi nally 500 and 1,000 draws. A presentation of the fi nal simulation results and a number of major comments regarding their calibration, confrontation, clarity and statistical analysis, together with some fi nal remarks as conclusions, limitations and perspectives, end the research approach.

AbstractBackground and Purpose: Despite scholarly interest in understanding the role of different determinants on entrepreneurs and their behavior, little is known about the relationship between entrepreneurial curiosity and innovativeness. This research explores the relationship between entrepreneurial curiosity, which motivates entrepreneurs to gather information about their business and innovativeness that motivate entrepreneurs to incorporate innovations into entrepreneurial processes.Design/Methodology/Approach: Participants in this study were entrepreneurs from Slovenia and USA. By using structural equation modelling, we linked the two constructs of entrepreneurial curiosity and innovativeness to test the influence.Results: Results indicate that entrepreneurial curiosity positively influences innovativeness. The results of this study indicate that at the frame of entrepreneurship psychology entrepreneurial curiosity is important for innovativeness.Conclusion: This paper links the two studied constructs and presents a valuable contribution for entrepreneurship theory; therefore, the results could be used for a further scientific research as also for practical implications.