Diagnostic Process of Company Productivity

This paper deals with an actual topic of how key factors of enterprise diagnostics can help to increase company productivity. Recognition and use of relevant internal and external information in this field determines the success of the enterprise. Application of the general diagnostic model of company productivity to the net income has been a frequent problem of company practice. This problem is of profit showing, which is an inevitable precondition for long-term company development and growth. Diagnostic access of company productivity allows recognition of specific problems in greater detail, which results from the activity of each company. This article also presents an introduction to the researched area of enterprise diagnostics, which opens opportunities for other publishing activities and can lead to information exchange.enterprise diagnostics, company productivity, diagnostic model

A Further Example Showing Efficiency of a Modeling Method Based on the Theory of Dynamic Systems in Pharmacokinetics

Aims: To present a further example showing an efficiency of a modeling method based on the theory of dynamic systems in pharmacokinetics. Study design:The goals of the current study were twofold: to present (1) a further example showing efficiency of a modeling method based on the theory of dynamic systems in pharmacokinetics, an to perform (2) a next step in tutoring the use of computational and modeling tools from the theory of dynamic systems in pharmacokinetics. The data available in the study by Plusquellec et al. published in the October Issue of the Journal Medical Engineering & Physics were used to exemplify the method considered here. For modeling purpose an advanced mathematical modeling method was employed. Modeling was performed using the computer program named CTDB described in the study by Dedík et al. published in September 2007 issue of the Journal Diabetes Research and Clinical Practice. Main outcome: Modeling results revealed that computational and modeling tools from the theory of dynamic systems can be successfully used in the development of a mathematical model of such a complicated process as is a multiple sites discontinuous gastrointestinal absorption

Tax Evasion in Sales Cuts Registered by Electronic Cash Register

Tax evasion is a persistent problem of public finances. Sales cuts registered by electronic cash register (hereinafter referred to as "ECR") is part of tax evasion. The State, through constant changes in legislation, creates barriers against them, which are effective only in the short term. The paper is based on the documentation of administrative offences arising from demands and communications with the financial administration. It analyses the changes in the law relating to the elimination of tax evasion by recording sales of ECR and evaluates them. It applies a model approach for the identification of subjects and links in the system. Risky relationships between subjects are exposed and menas of their elimination are proposed. It emphasises the important position of ICT in ECR, identifies difficult places in hardware and software, and suggests areas for improvement

MODELS OF APPLICATION ECONOMIC VALUE ADDED IN AUTOMOTIVE COMPANY

Summary. Enterprises are currently trying to bring new technologies into production and use new procedures and recommendations in various management activities. However, they should not forget to change their approach to the evaluation of the results achieved and focus on the use of modern methods of performance evaluation and prove to apply them in their enterprises. The aim of this paper is to point out several variants of the calculation of Economic value added (EVA) indicator, define the possibilities to apply EVA methods to the conditions of enterprises in the Slovak Republic and the need to adjust data providing financial statements and data for current accounts. Application of economic value added should be able to contribute to changes in the views of the owners and managers of enterprises in the Slovak republic for use not only as financial indicators

Intelligent Soft Computing on Forex: Exchange Rates Forecasting with Hybrid Radial Basis Neural Network

This paper deals with application of quantitative soft computing prediction models into financial area as reliable and accurate prediction models can be very helpful in management decision-making process. The authors suggest a new hybrid neural network which is a combination of the standard RBF neural network, a genetic algorithm, and a moving average. The moving average is supposed to enhance the outputs of the network using the error part of the original neural network. Authors test the suggested model on high-frequency time series data of USD/CAD and examine the ability to forecast exchange rate values for the horizon of one day. To determine the forecasting efficiency, they perform a comparative statistical out-of-sample analysis of the tested model with autoregressive models and the standard neural network. They also incorporate genetic algorithm as an optimizing technique for adapting parameters of ANN which is then compared with standard backpropagation and backpropagation combined with K-means clustering algorithm. Finally, the authors find out that their suggested hybrid neural network is able to produce more accurate forecasts than the standard models and can be helpful in eliminating the risk of making the bad decision in decision-making process