Эмпирический анализ экономической прибыли телекоммуникационных компаний в странах с развивающимися рынками капитала
It is well known that there are many indicators that reflect the efficiency of company operation. One of them - Economic Value Added (EVA). From the formula of calculating EVA follows that result of this criterion influence by a number of factors. In order to get objective results when calculating EVA it is recommended to make revisions in the operational profit and capital employed. However the number of necessary revisions hasn’t been determined yet. In this article it is presented, as adjustment and the accounting of separate factors (account articles) can lead to essential changes of EVA.
Knowledge management is becoming the most relevant and challenging issue of company’s strategy implementation in the new economy. Intellectual capital identification and evaluation is one of the most important issues in knowledge management. Our study focuses on the evaluating intellectual capital methods that allow finding out the most efficient way of intellectual capital management, including investment decision making. We suppose that the potential effectiveness of intellectual capital resources varies depending on a company size, industry and country. Therefore, to solve problems of intellectual capital evaluation we integrate two approaches that are relevant for studying the companies’ and industries’ behavior.
Defining the strategic vision of the company, managers and owners almost always have a shortage of information about different investments potential effectiveness. At the first step the company should find a compromise between investments in traditional assets and intellectual capital accumulation. RAVE concept is mainly based on the premise that the intellectual capital outcomes, including its knowledge, the company marketing policy, purchasing and staff development, exceed the traditional assets outcomes. This article represents the critical analysis of the approach designed by BCG consultants and is devoted to the integrated economic value added - method development.
In real situations, the work of project-oriented businesses takes place in conditions of high uncertainty. In particular, the moments of the receipt of project execution time, as well as costs and other factors are yutsya-random numbers with given or unknown to the laws of the distributions. Management capabilities offered by the use of stochastic process models of the current scenario management ene and port-felyami projects presented in this paper.