"Scientific research" Almanac

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  FIGHTING POVERTY – THE CHALLENGE FACING THE TEACHING OF ECONOMICS AND MANAGEMENT

  The implementation of a comprehensive and integrated approach is a prerequisite for overcoming social exclusion and for breaking the passing on of poverty from generation to generation. Higher education in economics and management takes an important place in the fight against poverty by providing the necessary knowledge, skills and ... The implementation of a comprehensive and integrated approach is a prerequisite for overcoming social exclusion and for breaking the passing on of poverty from generation to generation. Higher education in economics and management takes an important place in the fight against poverty by providing the necessary knowledge, skills and competencies. Thesis statement: „The improvement of the traditional methods and the introduction of new active methods and modes of study in economics and management provide students with knowledge and skills, which are the prerequisites for getting out of poverty.” Aim: Studying the existing modes of study and opening up opportunities for improvement through the introduction of new elements in teaching economics and management to create knowledge and skills for fighting poverty. Tasks: Studying the characteristics of poverty in Bulgaria; Analyzing the content of economics and management courses and creating new opportunities to include issues related to the fight against poverty; Developing methodological materials containing active forms of teaching and acquiring knowledge and skills. The national policies that can contribute to poverty reduction have to be the basis for developing the components of the course content. The incorporation of these policies in the course content would attract the interest not only of students but of all stakeholders to the educational product of the D. A. Tsenov Academy of Economics.

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  E-COMMERCE IN INSURANCE – A FACTOR FOR INCREASING THE COMPETITIVENESS OF INSURANCE COMPANIES

  The study presents the results of an empirical study of electronic commerce in insurance, conducted in 2013. The authors argue that the successful implementation of electronic sales in insurance streamlines and improves customer service in the sector. In addition, it reduces the costs, and the price respectively, of insurance policies and ... The study presents the results of an empirical study of electronic commerce in insurance, conducted in 2013. The authors argue that the successful implementation of electronic sales in insurance streamlines and improves customer service in the sector. In addition, it reduces the costs, and the price respectively, of insurance policies and increases their competitiveness in the market. Proving the thesis statement is achieved through solving the following major tasks: - the extent to which insurance companies in Bulgaria use e-commerce is demonstrated through systematized and analyzed data; - the dynamics of development of electronic commerce and the structure of sold on-line insurance products are tracked; - expected benefits of sales realization due to the use of e-commerce by insurers are outlined. It is found out that the companies in Non-life Insurance industry use e-commerce as a promising and convenient way of making purchases and sales of insurance policies and as an important tool to enhance their competitiveness.

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  USING PROBABILITY MODELS FOR FAST-MOVING CONSUMER GOODS SALES FORECASTING BASED ON TRANSACTIONAL DATA

  The interest in modelling the structure of consumer preferences and consumer choice behaviour in order to predict future purchase decisions has a long and rich tradition in marketing. Finding a practical solution to this problem is becoming increasingly critical with the increased availability of customer transactional individual-level databases. ... The interest in modelling the structure of consumer preferences and consumer choice behaviour in order to predict future purchase decisions has a long and rich tradition in marketing. Finding a practical solution to this problem is becoming increasingly critical with the increased availability of customer transactional individual-level databases. The focus of this paper is on the application of specific class of probability models that are well-suited to meet the rising challenges a marketing manager faces. Our objective is to define, estimate and a priori validate a predictive probability model by aggregating the individual-level purchase history (i.e. purchase frequency and recency). We demonstrate the relatively high performance of NDB and BG/NDB models using transactional data of a cohort of new customers. This supports our thesis statement that probability models are very suitable for identifying and forecasting purchasing behaviour. The availability of precise individual-level predictions concerns any serious attempt to derive customer lifetime value on a systematic basis.