Female entrepreneurship in belarus

Nowadays entrepreneurship is one of the main key objects in internal policy of each country. More and more women start doing their own business and thus become integral participants of entrepreneurial activities. However, despite of the abundance of various scientific publications, female entrepreneurship is poorly understood phenomenon, which is needed to be carefully scrutinized. The general purpose of this work is to describe and analyse such phenomenon as female entrepreneurship generally in the world and separately and mainly in Belarus. Indeed, it intends to determine the factors that drive women's entrepreneurship in Belarus. The findings are supported by literature, gathered from different scientific researches and actual statistical data. The data used in the empirical part was collected from World Bank Enterprise Surveys and comprises the responses of representatives of 360 companies selected randomly from the population of the Belarus companies. With the help of descriptive statistics and the application of logistic regression simple models to determine which economic, social, fiscal and legal environmental factors impact on female entrepreneurial activity was possible to understand the female involvement in business activities and society of the country.

Modelling a biomass supply chain through discrete-event simulation

The organizational structure of the companies in the biomass energy sector, regarding the supply chain management services, can be greatly improved through the use of software decision support tools. These tools should be able to provide real-time alternative scenarios when deviations from the initial production plans are observed. To make this possible it is necessary to have representative production chain process models where several scenarios and solutions can be evaluated accurately. Due to its nature, this type of process is more adequately represented by means of event-based models. In particular, this work presents the modelling of a typical biomass production chain using the computing platform SIMEVENTS. Throughout the article details about the conceptual model, as well as simulation results, are provided