<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml">Presented article describes the research on organizational IT knowledge management system model. Research was started with the analysis of current scientific knowledge status on knowledge management as well as supporting the process with Information Technology. Methods of knowledge management systems were analyzed and a system suitable for a case study was selected. Case study results allowed to build a knowledge management system and the model was verified on the basis of knowledge management system prototype research.</abstract>

The Role of Information Technology Systems in Knowledge Management

<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml">Economical activities of enterprises should be based on such managerial decisions that assure quick and effective adjustment of the company to the changes that appear in the market. Enterprises, which are not able to use their opportunities and avoid threats, are bound to face the thread of insolvency. Effects of the insolvency are felt not only by the enterprise, but also by its creditors. Therefore, it is necessary to elaborate a warning system that will beforehand allow diagnosing the condition of the enterprise and setting necessary directions for the company to avoid insolvency. The article presents research results on the use of characterization theory in the creation of insolvency threat evaluation model based on Polish enterprises.</abstract>

Modeling of Polish Enterprises Insolvency Processes with the Use of Gorbatov Characterization Principle - Research Results

<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml">Research concerns the implementation of modern computing technologies in the evaluation of projects cofinanced by the European Union. Crucial element of this research is the enrichment of currently used evaluation methods with modern mechanisms basing on artificial intelligence. The article deals with the possibility analysis of neural networks usage in such applications.</abstract>

Neural Networks Usage in the Evaluation of European Union Cofinanced Projects

<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml">The purpose of this article is to present and analyse issues connected with the expert knowledge collection methodology in the decision support systems (DSS). The considerations concentrate on a conception of building an information system, based on an application of case-based reasoning method and reasoning based on approximate knowledge. The expert's knowledge is systematically collected in a case base. A mechanism of classical CBR and a logic model of the case base were described. It was assumed that the cases compared with regard to similarity are elements of tolerance space what considerably accelerates the retrieval of satisfying solutions. A local and global measure of case similarity is developed. The method can be used in complex tasks of image identification.</abstract>

The Expert Knowledge Collection Methodology in the Decision Support System

<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml">T-nets are constructed on the basis of experience gathered during experiments performed on the flow models of production systems [1, 4 and 6-12] and experience from colored Petri nets simulations. Transforming net is functioning in an asynchronous manner due to the initiation of transformers in specific periods of time. Possibilities to time-flow tasks are imminent features of T-nets - resources are gathered in the accumulators; resource transformations are described by the transformers. Task decomposition and task result synthesis is performed in a continuous manner. T-net plays the role of virtual model of real task realization processes. The existence of such model allows to monitor and asses the progress of realized tasks as well as calculations and simulation of task realization strategy.</abstract>

Transforming Nets

<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml">The article presents issues connected with processing information from data warehouses (the analytical enterprise databases) and two basic types of analytical data processing in data warehouse. The genesis, main definitions, scope of application and real examples from business implementations will be described for each type of analysis. There will be presented copyrighted method of knowledge discovering in databases, together with practical guidelines for its proper and effective use in the enterprise.</abstract>

Data Analytical Processing in Data Warehouses

<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml">The objective of the paper is to present the results of investigation regarding barriers for empowerment in the context of organisational problems of companies, their application in the search for solutions, and adequate implementation in order to increase the efficiency of the processes of decision-making.</abstract>

University of Ecology and Management in Warsaw, 02-061 Warszawa, Poland

Faculty of Management, Department of Production Management, Warsaw University of Technology, 02-524 Warszawa, Poland

Barriers for Empowerment in Organisations on the Basis of Surveys

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Foundations of Management

 The primary version of the journal is the online one.  Interdisciplinary perception and interpretation of economic phenomena that accompany the managers and enterprises in their daily work, in order to make them more efficient, safe and economic for suppliers and receivers of the products and services in the global world of technological innovation, domination of knowledge, changes of the value of money and constant market game between demand and supply, future and past.   Rejection Rate   &lt; 30%   Archiving  Sciendo archives the contents of this journal in Portico - digital long-term preservation service of scholarly books, journals and collections.  Plagiarism Policy  The editorial board is participating in a growing community of Similarity Check System's users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process. 