The entrepreneurial ecosystem, one of the latest trends for researchers and practitioners, has the potential to increase our understanding of entrepreneurship. Existing research was conducted mostly in developed countries. The purpose of this paper is to bring to light the particularities of entrepreneurial ecosystems in two important city-regions of Romania, which should result in a better understanding of the specific context of this transitional economy. Starting from the models of entrepreneurial ecosystems proposed in the literature, we added an element specific to most post-communist states: political entrepreneurs, underlying the impact of their presence for the evolution and sustainability of entrepreneurial ecosystems. The research design was a qualitative exploratory study. The study focused on a sample of 21 entrepreneurs from two city-regions in Romania: Bucharest and Cluj-Napoca. The interviews were based on open-ended questions prompting the respondents to engage in a storytelling approach to describe their experiences as entrepreneurs in a volatile environment, along with their perceptions. The data were analyzed based on a descriptive phenomenological approach using thematic analysis. The main findings, resulting from the qualitative interview data, are that although entrepreneurship, both in results and mentality, is well-established, seemingly over the “point of no return”, the particular context is still making things rough for entrepreneurial activity. The results suggest a strong need for coherent policies at local and national levels.

There is an entire field of literature on reliability models. Building reliability models is most frequently done by starting from the failure rate (or hazard rate). Creating a reliability model starts with the specific type of product behavior over time, so there are model classes for the specifics of different product categories: electronic, mechanical products, mixed systems etc. The aim of this paper was to develop a statistical model which would allow the study of the durability of products, and particularly, in the present case, of electrical switches. The procedure has a broad range of applicability and can be extended to whole categories of products that have components both in motion, and therefore subject to wear, and also that bear additional stress. In our case, an electrical switch involves the shock of the electrical contact, which additionally requires the constituent material. This article started from an indicator similar to entropy (an entropy-like transformation) that was developed according to the stated purpose of the paper. We believe that the appropriate name for the proposed indicator is pseudo-entropic transformation, as we operated with the derivative of g(t), which is basically a probability density. The model developed herein is original and, from a practical point of view, it is convenient for treating and developing analytical and practical applications for classes of products subjected, during use, to a process of wear, degradation, and damage by use.

Studies on the structure of economic systems are, most frequently, carried out by the methods of informational statistics. These methods, often accompanied by a broad range of indicators (Shannon entropy, Balassa coefficient, Herfindahl specialty index, Gini coefficient, Theil index, etc.) around which a wide literature has been created over time, have a major disadvantage. Their weakness is related to the imposition of the system condition, which indicates the need to know all of the components of the system (as absolute values or as weights). This restriction is difficult to accomplish in some situations, while in others this knowledge may be irrelevant, especially when there is an interest in structural changes only in some of the components of the economic system (either we refer to the typology of economic activities—NACE, or of territorial units—Nomenclature of territorial units for statistics (NUTS)). This article presents a procedure for characterizing the structure of a system and for comparing its evolution over time, in the case of incomplete information, thus eliminating the restriction existent in the classical methods. The proposed methodological alternative uses a parametric distribution, with sub-unit values for the variable. The application refers to Gross Domestic Product values for five of the 28 European Union countries, with annual values of over 1000 billion Euros (Germany, Spain, France, Italy, and United Kingdom) for the years 2003 and 2015. A form of the Wald sequential test is applied to measure changes in the structure of this group of countries, between the years compared. The results of this application validate the proposed method.

Process control methods, in general, and quality, in particular, most often refer to the measures taken especially to the finished product, as well as to the technological process, in order to maintain its performance within certain statistical parameters. Genichi Taguchi is the first who developed a quality control approach, used first in Japan and later in industrialized economies, a procedure widespread in quality under the name Taguchi method. Within the Taguchi method, he imposed a key term average loss attached to a process /characteristic in case it deviates, compared to a target value/objective, considered optimal. The Taguchi methodology is especially oriented towards the design phase, different from the classic approach oriented towards the final control phase upon delivery, or towards the supervision of the processes. This new approach aims to design processes and products so that they are as insensitive as possible (robust) to the influence of external, disruptive factors of the processes. In our paper, the capability indicators of the processes and their connection with the Taguchi risk are also presented. A link is also made between the statistical measurement of uncertainty and the Taguchi risk with an example in a process from the mechanical industry.

Studies on the structure of economic systems are, most frequently, carried out by the methods of informational statistics. These methods, often accompanied by a wide range of indicators (Shannon entropy, Balassa coefficient, Herfindahl specialty index, Gini coefficient, Theil index etc.) around which a wide literature has been created over time, have a major disadvantage. Such weakness is related to the imposition of the system condition, therefore the need to know all the components of the system (as absolute values or as weights). This restriction is difficult to accomplish in some situations, and in others, this knowledge may be irrelevant, especially when there is an interest in structural changes only in some of the components of the economic system (either we refer to the typology of economic activities - NACE or of territorial units – NUTS). This article presents a procedure for characterizing the structure of a system and for comparing its evolution over time, in the case of incomplete information, thus eliminating the restriction existent in the classical methods. The proposed methodological alternative uses a parametric distribution, with subunit values for the variable. The application refers to Gross Domestic Product values for five of the 28 European Union countries, with annual values of over 1,000 billion Euros (Germany, Spain, France, Italy and United Kingdom) for the years 2003 and 2015. A form of the Wald sequential test is applied to measure changes in the structure of this group of countries, between the years compared. The results of this application validate the proposed method.