"Scientific research" Almanac

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  BENEFITS FOR TOURISM ENTERPRISES FROM THEIR ISO 9001 CERTIFICATION

  Globalization and free movement of goods and services put new opportunities for Bulgarian businesses to achieve a competitive advantage based on quality. The study of this problem in the economic practice is especially relevant, considering the predominance of the service sector in the national economy and the complexity of maintaining a ... Globalization and free movement of goods and services put new opportunities for Bulgarian businesses to achieve a competitive advantage based on quality. The study of this problem in the economic practice is especially relevant, considering the predominance of the service sector in the national economy and the complexity of maintaining a consistent quality of services. The main objective of the present study is to highlight the key benefits of the business standard and the relative advantages it can bring to tourism businesses, based on a retrospective and situational analysis of ISO 9001 certification. In order to achieve this goal, the following research tasks are solved: study of the distribution of ISO 9001 standard by economic sectors; analysis of the benefits from introduction of the standard for Bulgarian enterprises; presentation of the main tools for ensuring the quality of tourist services; exploiting the potential benefits of ISO 9001 certification for tourism business. The results of the study show that ISO 9001 is the most common among ISO certification standards; it is a clearly recognizable sign of quality among businesses; it is adapted for every business; brings real benefits to organizations; can be applied in the tourism business. The results obtained from the study prove the author's thesis that certification under the most common international standard provides a number of business benefits that can also be used in the tourism business.

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  STUDYING THE COUNTERPARTY RISK IN INDUSTRIAL ENTERPRISES (ALONG THE LINES OF THE BREWING INDUSTRY)

  The purpose of the present study is to investigate the manifestation of counterparty risk in the operation of Bulgarian breweries and to highlight specific business solutions and practices for its effective management. In this regard, the following tasks are formulated and implemented: studying and summarizing the theoretical formulations of ... The purpose of the present study is to investigate the manifestation of counterparty risk in the operation of Bulgarian breweries and to highlight specific business solutions and practices for its effective management. In this regard, the following tasks are formulated and implemented: studying and summarizing the theoretical formulations of counterparty risk in industrial enterprises; analyzing and evaluating the current state and identifying the development trends of the brewing industry in the European Union and in Bulgaria, in particular; investigating the risky circumstances and situations arising from the actions and responses of corporate counterparties; summarizing and presenting the results of the conducted empirical survey; highlighting the best practices and initiatives for counterparty risk management in the surveyed business establishments. The main research thesis is that identifying, maintaining and developing partner relationships and interactions with certain counterparties (suppliers, clients, distributors and other physical persons and/or legal entities and the subsequent change in their actions and responses lead to unforeseen and unexpected risk situations in the breweries. As a result of the survey, the study identifies the current situation, the specificity and dynamics in the development of the brewing industry within the European Union and Bulgaria, as well as the bearers of counterparty risk in the brewing enterprises in the country and the most problematic situations and weaknesses in working with them, and outlines the guidelines and priorities for reducing, limiting, avoiding and eliminating the counterparty risk in the surveyed respondents.

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  MEASURING POVERTY IN BULGARIA: STATISTICAL ASPECTS

  Fighting poverty and social exclusion is among the biggest issues of modern social development and a priority of the social policy at both national and European level. The main goal of this paper is to explore the statistical dimensions of poverty in Bulgaria via theoretical justification and empirical analysis of the level, dynamics and ... Fighting poverty and social exclusion is among the biggest issues of modern social development and a priority of the social policy at both national and European level. The main goal of this paper is to explore the statistical dimensions of poverty in Bulgaria via theoretical justification and empirical analysis of the level, dynamics and determining factors of poverty for the period 2008–2017. The research thesis of the study is that the Gini coefficient and the multiple binary logistic regression models are appropriate analytical tools for analyzing the relationships and identifying the part of the population that is at risk of poverty and social exclusion. In this paper, we present the conceptual basis of poverty as a subject of the statistical analysis. We clarify the organizational and methodological aspects of the data provision. We have performed empirical analysis of the dynamics and factor relationships of poverty in Bulgaria on the basis of the statistical information, obtained from NSI and Eurostat. We have developed multiple regression models and estimated the socio-demographic conditions of poverty. The main results of the study can be summarized in several areas. The application of the statistical approach is a necessity for identifying the level and the factor relationships of poverty. The quantitative measure of poverty is based on comprehensive statistical information that is collected in accordance with the Eurostat methodology and adapted at a national level by the NSI. The dynamics of the Gini coefficient reveals that income inequality of the population is rising. The multiple logistic regression model states that the impact of the variables “gender”, “age” and “region” are statistically significant. The derived probabilities and odds ratios can be used in developing policies for poverty reduction.