Management and development of enterprise

The research work is devoted to actual problems of development management of industrial enterprises. The general purpose of this work is the choice and justification of rational enterprise development evaluation model and subsequent application of it for assessment of enterprise development level and also forming of recommendations for enterprise management. Theoretical aspects of development management of enterprises were generalized. The approaches to understanding the essence of development enterprise category and its types were considered. It was investigated the evaluation models of enterprise development, their advantages and disadvantages and the difficulties of their implementation. The requirements for formation of the evaluation system of the enterprise development were summarized. It was determined the features of the formation and application of an Index of Enterprise Development. In the empirical part, data about investigated enterprises was collected from their official websites and also complemented with further data from other statistical websites. The analysis was based on the annual financial statements of companies. To assess the level of enterprise development were chosen model proposed by Feshchur and Samulyak (2010). This model involves the calculation of the Index of Enterprise Development using partial indicators, their reference values and weight. It was conducted an analysis of the development of Ukrainian enterprises that produce sauces. OJSC “LZHK” had the highest value of Index of Enterprise Development, in 2013 and 2015, that consisted 0,78 and 0,76 respectively. In 2014 the highest value for the Index belonged to PJSC “Volynholdinh” and amounted 0,74. OJSC “LZHK” had the highest average value of Index of Enterprise Development by the result of 2013-2015 years, and it consisted 0,70. PJSC “Chumak” had the lowest average value of Index of Enterprise Development obtained the result 0,59. In order to raise the enterprise development level, it was suggested to reduce production costs and staff turnover, increase the involvement of employees.

Factors that influence entrepreneurship activity by gender in the European Union

This research work aims to discuss the gender issue concerning entrepreneurship in European Union countries in a period of nine years, from 2007 to 2015, identifying the factors which drive individuals to be entrepreneurs. The study mainly concentrates on identifying and quantifying the personal, social, political and economic features which are motivating individuals, especially women, to be entrepreneurs, as well as the main difficulties they feel during the process of business creation. In order to explore the entrepreneurial activity across a set of developed countries the econometric methodology of panel data (in particular the fixed effects and random effects models) is applied to a data set of entrepreneurial statistical indicators calculated and made available by the Global Entrepreneurship Monitor. The results show that the knowledge of other start-up entrepreneurs, a desired career choice, the governmental support and the existence of public policies that promote entrepreneurship (specially within the framework of small and medium sized firms) and the transfer of R&D are factors influencing negatively on the rate of female entrepreneurship. None of the observed variables are barriers for male entrepreneurs. The perceived capabilities and opportunities, the entrepreneurial intention, the policies to lower taxes and bureaucracy and the social and cultural norms are identified drives for women for engaging in a process of running their own ventures. These findings offer a set of valid knowledge to understand which measures could be implemented or should be changed and improved at a political and managerial level for stimulating entrepreneurship, especially for women.

Ratios and indicators that determine return on equity

This study aims to investigate factors that may affect return on equity (ROE). The ROE is a gauge of profit generating efficiency and a strong measure of how well the management of a firm creates value for its shareholders. Firms with higher ROE typically have competitive advantages over their competitors which translates into superior returns for investors. Therefore, seems imperative to study the drivers of ROE, particularly ratios and indicators that may have considerable impact. The analysis is done on a sample of 90 largest non-financial companies which are components of NASDAQ-100 index and also on industry sector samples. The ordinary least squares method is used to find the most impactful drivers of ROE. The extended DuPont model’s components are considered as the primary factors affecting ROE. In addition, other ratios and indicators such as price to earnings, price to book and current are also incorporated. Consequently, the study uses eight ratios that are believed to have impact on ROE. According to our findings, the most relevant ratios that determine ROE are tax burden, interest burden, operating margin, asset turnover and financial leverage (extended DuPont components) regardless of industry sectors.